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Centers for Medicare & Medicaid Services Price Publication Requirement: If You Post It, Will They Come?

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Centers for Medicare & Medicaid Services Price Publication Requirement: If You Post It, Will They Come?

Patients in the United States continue to experience rising out-of-pocket medical costs, with little access to the price information they desire when making decisions regarding medical care.1 The Centers for Medicare & Medicaid Services (CMS) has taken steps toward transparency by requiring hospitals to publish price information.2 In this issue of the Journal of Hospital Medicine, White and Liao3 break down the new rule, and we further discuss how this policy affects patients, hospitals, and hospitalists.

The new CMS rule requires hospitals to publish the prices of 300 “shoppable” services, including those negotiated with different payors. The rule standardizes how this information is displayed and accessed, with a daily penalty for facilities that fail to comply. Clinics and ambulatory surgical centers are currently excluded, as are facility and ancillary fees, such as those billed by pathology or anesthesiology. As White and Liao point out, a limitation for hospitalists is that this rule will only affect orders for the outpatient setting at discharge. In addition, this rule separates cost from quality. Although quality data are publicly available via CMS, price data are posted directly by hospitals, making a true value assessment difficult. To strengthen the rule, White and Liao recommend the following: increasing the financial penalty for noncompliance; aggregating data centrally to allow for comparisons; adding quality data to cost; expanding included sites and types of services; and adding common additional fees to the service price.

The larger question is whether patients will use these data in the manner intended. Previous studies have found a paradoxical relationship between patients’ expressed desire to compare prices for medical services vs documented low levels of price-shopping behavior. Mehrotra et al1 found that lack of access to data as well as loyalty to providers were significant barriers to using price data effectively. The CMS rule increases access to the price information patients desire but cannot find. However, it is unclear whether available prices will be sufficient to change behaviors given that, aside from those with no insurance and those with high-deductible plans, most patients are fairly removed from the actual cost of service.

This rule may have a larger, unexpected impact on hospitals and access to care. Sharing price data could increase pressure on facilities to merge with larger systems in order to obtain more favorable rates via increased negotiating power. Hospitals that serve poorer communities may not be attractive merger candidates for large systems and could be left out of the push toward consolidation. Charging higher prices for the same services could lead to hospital closures or cuts in resources, potentially exacerbating health inequities for underserved populations.

On the provider end, it is unlikely that price transparency will influence resource utilization. Mummadi et al4 found that displaying price information in the electronic health record did not significantly influence physician ordering behavior. For hospitalists today, the emphasis on “high-value care” is already an important consideration when utilizing healthcare resources, considering the Accreditation Council for Graduate Medical Education (ACGME) requirements for residency, restrictive insurance protocols, and guidelines such as the ACR Appropriateness Criteria and the American Board of Internal Medicine’s Choosing Wisely® campaign. Outside of extremes, separate cost data likely will not make a difference in provider ordering practices.

Although the information from this rule may not cause dramatic practice change, it will allow us to help our patients by providing those interested in price-shopping with data. This policy represents a large step toward a more transparent healthcare system, though it may have limited impact on overall healthcare costs.

References

1. Mehrotra A, Dean KM, Sinaiko AD, Sood N. Americans support price shopping for health care, but few actually seek out price information. Health Aff (Millwood). 2017;36(8):1392-1400. https://doi.org/10.1377/hlthaff.2016.1471
2. Price Transparency Requirements for Hospitals to Make Standard Charges Public. 45 CFR § 180.20 (2019).
3. White AA, Liao JM. Policy in clinical practice: hospital price transparency. J Hosp Med. 2021;16(11):688-690. https://doi.org/10.12788/jhm.3698
4. Mummadi SR, Mishra R. Effectiveness of provider price display in computerized physician order entry (CPOE) on healthcare quality: a systematic review. J Am Med Inform Assoc. 2018;25(9):1228-1239. https://doi.org/10.1093/jamia/ocy076

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1Division of Hospital Internal Medicine, Department of Internal Medicine, Mayo Clinic, Jacksonville, Florida; 2Department of Medicine, Hartford Hospital, Hartford, Connecticut; 3University of Connecticut School of Medicine, Farmington, Connecticut.

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Patients in the United States continue to experience rising out-of-pocket medical costs, with little access to the price information they desire when making decisions regarding medical care.1 The Centers for Medicare & Medicaid Services (CMS) has taken steps toward transparency by requiring hospitals to publish price information.2 In this issue of the Journal of Hospital Medicine, White and Liao3 break down the new rule, and we further discuss how this policy affects patients, hospitals, and hospitalists.

The new CMS rule requires hospitals to publish the prices of 300 “shoppable” services, including those negotiated with different payors. The rule standardizes how this information is displayed and accessed, with a daily penalty for facilities that fail to comply. Clinics and ambulatory surgical centers are currently excluded, as are facility and ancillary fees, such as those billed by pathology or anesthesiology. As White and Liao point out, a limitation for hospitalists is that this rule will only affect orders for the outpatient setting at discharge. In addition, this rule separates cost from quality. Although quality data are publicly available via CMS, price data are posted directly by hospitals, making a true value assessment difficult. To strengthen the rule, White and Liao recommend the following: increasing the financial penalty for noncompliance; aggregating data centrally to allow for comparisons; adding quality data to cost; expanding included sites and types of services; and adding common additional fees to the service price.

The larger question is whether patients will use these data in the manner intended. Previous studies have found a paradoxical relationship between patients’ expressed desire to compare prices for medical services vs documented low levels of price-shopping behavior. Mehrotra et al1 found that lack of access to data as well as loyalty to providers were significant barriers to using price data effectively. The CMS rule increases access to the price information patients desire but cannot find. However, it is unclear whether available prices will be sufficient to change behaviors given that, aside from those with no insurance and those with high-deductible plans, most patients are fairly removed from the actual cost of service.

This rule may have a larger, unexpected impact on hospitals and access to care. Sharing price data could increase pressure on facilities to merge with larger systems in order to obtain more favorable rates via increased negotiating power. Hospitals that serve poorer communities may not be attractive merger candidates for large systems and could be left out of the push toward consolidation. Charging higher prices for the same services could lead to hospital closures or cuts in resources, potentially exacerbating health inequities for underserved populations.

On the provider end, it is unlikely that price transparency will influence resource utilization. Mummadi et al4 found that displaying price information in the electronic health record did not significantly influence physician ordering behavior. For hospitalists today, the emphasis on “high-value care” is already an important consideration when utilizing healthcare resources, considering the Accreditation Council for Graduate Medical Education (ACGME) requirements for residency, restrictive insurance protocols, and guidelines such as the ACR Appropriateness Criteria and the American Board of Internal Medicine’s Choosing Wisely® campaign. Outside of extremes, separate cost data likely will not make a difference in provider ordering practices.

Although the information from this rule may not cause dramatic practice change, it will allow us to help our patients by providing those interested in price-shopping with data. This policy represents a large step toward a more transparent healthcare system, though it may have limited impact on overall healthcare costs.

Patients in the United States continue to experience rising out-of-pocket medical costs, with little access to the price information they desire when making decisions regarding medical care.1 The Centers for Medicare & Medicaid Services (CMS) has taken steps toward transparency by requiring hospitals to publish price information.2 In this issue of the Journal of Hospital Medicine, White and Liao3 break down the new rule, and we further discuss how this policy affects patients, hospitals, and hospitalists.

The new CMS rule requires hospitals to publish the prices of 300 “shoppable” services, including those negotiated with different payors. The rule standardizes how this information is displayed and accessed, with a daily penalty for facilities that fail to comply. Clinics and ambulatory surgical centers are currently excluded, as are facility and ancillary fees, such as those billed by pathology or anesthesiology. As White and Liao point out, a limitation for hospitalists is that this rule will only affect orders for the outpatient setting at discharge. In addition, this rule separates cost from quality. Although quality data are publicly available via CMS, price data are posted directly by hospitals, making a true value assessment difficult. To strengthen the rule, White and Liao recommend the following: increasing the financial penalty for noncompliance; aggregating data centrally to allow for comparisons; adding quality data to cost; expanding included sites and types of services; and adding common additional fees to the service price.

The larger question is whether patients will use these data in the manner intended. Previous studies have found a paradoxical relationship between patients’ expressed desire to compare prices for medical services vs documented low levels of price-shopping behavior. Mehrotra et al1 found that lack of access to data as well as loyalty to providers were significant barriers to using price data effectively. The CMS rule increases access to the price information patients desire but cannot find. However, it is unclear whether available prices will be sufficient to change behaviors given that, aside from those with no insurance and those with high-deductible plans, most patients are fairly removed from the actual cost of service.

This rule may have a larger, unexpected impact on hospitals and access to care. Sharing price data could increase pressure on facilities to merge with larger systems in order to obtain more favorable rates via increased negotiating power. Hospitals that serve poorer communities may not be attractive merger candidates for large systems and could be left out of the push toward consolidation. Charging higher prices for the same services could lead to hospital closures or cuts in resources, potentially exacerbating health inequities for underserved populations.

On the provider end, it is unlikely that price transparency will influence resource utilization. Mummadi et al4 found that displaying price information in the electronic health record did not significantly influence physician ordering behavior. For hospitalists today, the emphasis on “high-value care” is already an important consideration when utilizing healthcare resources, considering the Accreditation Council for Graduate Medical Education (ACGME) requirements for residency, restrictive insurance protocols, and guidelines such as the ACR Appropriateness Criteria and the American Board of Internal Medicine’s Choosing Wisely® campaign. Outside of extremes, separate cost data likely will not make a difference in provider ordering practices.

Although the information from this rule may not cause dramatic practice change, it will allow us to help our patients by providing those interested in price-shopping with data. This policy represents a large step toward a more transparent healthcare system, though it may have limited impact on overall healthcare costs.

References

1. Mehrotra A, Dean KM, Sinaiko AD, Sood N. Americans support price shopping for health care, but few actually seek out price information. Health Aff (Millwood). 2017;36(8):1392-1400. https://doi.org/10.1377/hlthaff.2016.1471
2. Price Transparency Requirements for Hospitals to Make Standard Charges Public. 45 CFR § 180.20 (2019).
3. White AA, Liao JM. Policy in clinical practice: hospital price transparency. J Hosp Med. 2021;16(11):688-690. https://doi.org/10.12788/jhm.3698
4. Mummadi SR, Mishra R. Effectiveness of provider price display in computerized physician order entry (CPOE) on healthcare quality: a systematic review. J Am Med Inform Assoc. 2018;25(9):1228-1239. https://doi.org/10.1093/jamia/ocy076

References

1. Mehrotra A, Dean KM, Sinaiko AD, Sood N. Americans support price shopping for health care, but few actually seek out price information. Health Aff (Millwood). 2017;36(8):1392-1400. https://doi.org/10.1377/hlthaff.2016.1471
2. Price Transparency Requirements for Hospitals to Make Standard Charges Public. 45 CFR § 180.20 (2019).
3. White AA, Liao JM. Policy in clinical practice: hospital price transparency. J Hosp Med. 2021;16(11):688-690. https://doi.org/10.12788/jhm.3698
4. Mummadi SR, Mishra R. Effectiveness of provider price display in computerized physician order entry (CPOE) on healthcare quality: a systematic review. J Am Med Inform Assoc. 2018;25(9):1228-1239. https://doi.org/10.1093/jamia/ocy076

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Jennifer B Cowart, MD; Email: cowart.jennifer@mayo.edu; Telephone: 904-956-0081; Twitter: @jbcowartmd.
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Update in perioperative cardiac medicine

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Update in perioperative cardiac medicine

Perioperative medicine is an evolving field with a rapidly growing body of literature. Because physicians and patients are often concerned about cardiac risk, we focus this review on perioperative cardiology.

The information we present here is derived from presentations at the Perioperative Medicine Summit and the annual meetings of the Society of Hospital Medicine and Society of General Internal Medicine in 2016. We surveyed perioperative literature from January 2015 through March 2016 and chose the final articles by consensus, based on relevance to clinicians who provide preoperative evaluations and postoperative care to surgical patients.

We have divided this review into four sections:

  • Preoperative cardiac risk assessment
  • Medical therapy to reduce postoperative cardiac complications (beta-blockers, statins, and angiotensin II receptor blockers [ARBs])
  • Perioperative management of patients with a coronary stent on antiplatelet therapy
  • Perioperative bridging anticoagulation.

PREOPERATIVE ASSESSMENT OF CARDIAC RISK

Functionally independent patients do better

Visnjevac O, Davari-Farid S, Lee J, et al. The effect of adding functional classification to ASA status for predicting 30-day mortality. Anesth Analg 2015; 121:110–116.

Functional capacity is an independent predictor of perioperative death and is included in the algorithm of the current joint American College of Cardiology/American Heart Association (ACC/AHA) guidelines,1 but it is not in the Revised Cardiac Risk Index2 or the American Society of Anesthesiologists (ASA) classification.3

The study. Visnjevac et al4 performed a retrospective, observational cohort study of 12,324 patients who underwent noncardiac surgery, stratifying rates of all-cause mortality and 30-day postoperative complications based on ASA class and functional capacity.

The ASA physical status classification is defined as:

  • 1—Normal healthy patient
  • 2—Patient with mild systemic disease
  • 3—Patient with severe systemic disease
  • 4—Patient with severe systemic disease that is a constant threat to life
  • 5—Moribund patient not expected to survive without surgery.

Functional capacity was defined as the ability to perform all activities of daily living. It was prospectively assessed during the patient interview by pre-anesthesia personnel and entered into the database of the Veterans Affairs Surgical Quality Improvement Program.

Results. Within each ASA class, the mortality rate was significantly lower for functionally independent patients than for partially or fully dependent patients:

  • In class 2—odds ratio (OR) 0.14 for functionally independent patients
  • In class 3—OR 0.29 for functionally independent patients
  • In class 4—OR 0.5 for functionally independent patients.

The mortality rate was higher for dependent patients than for independent patients who were one ASA class higher, despite the higher class having greater rates of comorbidity.

Adding functional capacity to the ASA classification improved the area under the receiver operating curve from 0.811 to 0.848 (a perfect test would have a value of 1.0), suggesting that physicians should incorporate functional capacity into their preoperative evaluation, perhaps by increasing a patient’s ASA class to the next higher class if he or she is functionally dependent.

Angina portends poor outcomes

Pandey A, Sood A, Sammon JD, et al. Effect of preoperative angina pectoris on cardiac outcomes in patients with previous myocardial infarction undergoing major noncardiac surgery (data from ACS-NSQIP). Am J Cardiol 2015; 115:1080–1084.

Coronary artery disease is a risk factor for adverse perioperative outcomes, but the risk varies depending on whether the patient has had a myocardial infarction (and how long ago) and whether he or she has anginal symptoms (and how severe they are).

The study. Pandey et al5 used data from the American College of Surgeons National Surgical Quality Improvement Program to evaluate the impact of stable angina in 1,568 patients who underwent noncardiac surgery after a myocardial infarction.

Results. Postoperative myocardial infarction or cardiac arrest occurred in 5.5% of patients. The incidence was significantly greater in those who had anginal symptoms before surgery than in those without symptoms (8.4% vs 5%, P = .035); reintervention rates and length of stay were also higher in this group. In multivariate analysis, preoperative angina remained a significant predictor of postoperative myocardial infarction (OR 2.49, 95% confidence interval [CI] 1.20–5.81) and re­intervention (OR 2.4, 95% CI 1.44–3.82.

The authors cautioned against relying on predictive tools such as the Revised Cardiac Risk Index that do not consider stable angina and previous myocardial infarction as separate independent risk factors.

Implications for clinical practice. While functional capacity is an integral part of the ACC/AHA guideline algorithm,1 the findings of these two studies suggest that other current tools to calculate perioperative risk (ASA class and Revised Cardiac Risk Index) could be improved by including functional capacity and stable angina.

PERIOPERATIVE MEDICAL THERAPY

Beta-blockers help only those at high risk and may harm others

Friedell ML, Van Way CW 3rd, Freyberg RW, Almenoff PL. ß-blockade and operative mortality in noncardiac surgery: harmful or helpful? JAMA Surg 2015; 150:658–663.

Beta-blockers have been used perioperatively for nearly 2 decades to try to reduce rates of postoperative major adverse cardiovascular events. However, in view of recent trials, fewer patients are likely to benefit from this intervention than has been thought.

The study. Friedell et al6 retrospectively analyzed data from 343,645 patients in Veterans Affairs hospitals to determine the effect of beta-blockers on major adverse cardiac event rates after major noncardiac surgery. Beta-blockers were considered to have been used perioperatively if given any time between 8 hours before and 24 hours after surgery. The outcome studied was the mortality rate at 30 days.

The authors derived a novel risk score and used multivariate analysis to attempt to adjust for confounding factors. The risk score was based on four risk factors identified a priori:

  • Serum creatinine level > 2.0 mg/dL
  • Coronary artery disease
  • Diabetes
  • Surgery in a major body cavity (abdomen or chest).

Results. In this cohort, 43.2% of patients had received a beta-blocker. The unadjusted mortality rates by risk category for patients receiving or not receiving a beta-blocker were:

  • No risk factors: 1.0% with a beta-blocker vs 0.6% without
  • One or two risk factors: 1.7% vs 1.5%
  • Three or four risk factors: 2.3% vs 4.5%.

After adjustment for confounding factors, the 30-day mortality rate was higher in low-risk patients and lower in high-risk patients who received beta-blockers. Odds ratios for death in beta-blocker users (entire cohort) by risk category were:

  • No risk factors: 1.19
  • One or two risk factors 0.97
  • Three or four risk factors 0.76.

In the 3.8% of the total cohort who underwent cardiac surgery, beta-blockers had no significant effect—beneficial or harmful—in any risk group.

Jørgensen ME, Hlatky MA, Køber L, et al. ß-blocker-associated risks in patients with uncomplicated hypertension undergoing noncardiac surgery. JAMA Intern Med 2015; 175:1923–1931.

The study. Jørgensen et al7 investigated the association between chronic beta-blocker use for the treatment of hypertension and 30-day rates of mortality and major adverse cardiac events. Eligible patients (N = 55,320) were at least 20 years old and were undergoing any type of noncardiac surgery. The authors established that hypertension was present through use of an algorithm based on the International Classification of Diseases (10th edition). Patients with existing cardiovascular disease and renal disease were excluded. The authors used multivariate analysis to adjust for confounding factors.

Results. Twenty-six percent of the patients were on chronic beta-blocker therapy for hypertension. The mortality rate at 30 days was 1.93% in patients treated with a beta-blocker alone or in combination with other antihypertensive drugs; the rate was 1.32% for patients receiving any combination of renin-angiotensin system inhibitor, calcium antagonist, or thiazide, but no beta-blocker. Similarly, the 30-day major adverse cardiac event rates were 1.32% with beta-blockers and 0.84% without beta-blockers.

In subgroup analysis, each medication combination that included a beta-blocker was associated with higher rates of death and major adverse cardiac events than the same combination without a beta-blocker. Odds ratios for major adverse cardiac events with beta-blocker combinations ranged from 1.22 to 2.16 compared with regimens with no beta-blocker.

Implications for clinical practice. These two studies added to a growing chorus of concerns about the value and safety of beta-blockers in surgical patients. Friedell et al6 made an observation that was remarkably similar to one reported by Lindenauer et al8 in 2005: when patients were stratified by baseline risk of death, only those with the highest baseline risk benefited from beta-blocker therapy. Those in the lowest risk group actually were harmed by beta-blocker use, ie, the mortality rate was higher.

More interesting is the novel observation by Jørgensen et al7 that even in patients with no known cardiovascular disease who are on chronic beta-blocker therapy—presumably on stable doses and not solely for perioperative risk reduction—rates of mortality and major adverse cardiac events were higher than for patients not on chronic beta-blocker therapy.

The current studies support a cautious, selective approach to the perioperative use of beta-blockers—they should be used only in high-risk patients undergoing high-risk surgery, as has been proposed by the ACC/AHA.1

 

 

Statins protect

Antoniou GA, Hajibandeh S, Hajibandeh S, Vallabhaneni SR, Brennan JA, Torella F. Meta-analysis of the effects of statins on perioperative outcomes in vascular and endovascular surgery. J Vasc Surg 2015; 61:519–532.

The study9 was a comprehensive meta-analysis of randomized controlled trials and observational studies of the effects of HMG-CoA reductase inhibitors (statins) on perioperative outcomes in patients undergoing vascular surgery (but not for intracranial or coronary artery disease). Twenty-four studies were included, 4 randomized controlled trials and 20 observational studies (including 16 cohort and 4 case-controlled studies), with a total of 22,536 patients, 8,052 receiving statins and 15,484 not receiving statins.

Results. Although there was no significant difference in cardiovascular mortality rates, patients receiving statins had significantly lower rates of all-cause mortality, myocardial infarction, stroke, and a composite of myocardial infarction, stroke, and death at 30 days postoperatively than patients not receiving statins. Additionally, there was no difference in the incidence of kidney injury between groups. The possibility of publication bias was thought to be low for all of these outcomes.

Berwanger O, Le Manach Y, Suzumura EA, et al. Association between pre-operative statin use and major cardiovascular complications among patients undergoing non-cardiac surgery: the VISION study. Eur Heart J 2016; 37:177–185.

The study. The Vascular Events in Non-cardiac Surgery Patients Cohort Evaluation (VISION) study10,11 was an international prospective cohort study of more than 40,000 patients age 45 and older undergoing major noncardiac surgery with either general or regional anesthesia. Postoperative troponin measurements were obtained in all patients 6 to 12 hours after surgery and for the first 3 postoperative days. The authors evaluated the effect of preoperative statin use on cardiovascular outcomes at 30 days after surgery using a multivariate logistic model and propensity score analysis to correct for confounding factors. Statin use was defined as exposure within 7 days before surgery or 3 days after.

Results. In the 15,478 patients included in the analysis, statin use conferred a significant reduction in the primary outcome (composite of all-cause mortality, myocardial injury after noncardiac surgery, or stroke); the absolute risk reduction was 2.0%. Statin users also had a significantly lower risk of all-cause mortality, cardiovascular mortality, and myocardial injury after noncardiac surgery, but not of postoperative myocardial infarction or stroke. This analysis did not address the type of statin, dosing, or safety markers such as liver and muscle function.

Implications for clinical practice. With largely observational data and a few small randomized trials, these meta-analyses provide important information with respect to perioperative cardiovascular protection by statins. Starting a statin before surgery and continuing it perioperatively seems appropriate in patients at high risk (as recommended by the ACC/AHA guidelines1). Based on other data, the benefit may be evident in as little as 5 days, as this is when statins appear to reach their plateau with regard to their vascular pleiotropic effects.12 The incidence of adverse effects of statins, including muscle and liver injury, appears to be low in the perioperative setting.13

Given the inconsistent data regarding perioperative beta-blocker therapy, statins may very well be the most important perioperative medication with respect to cardiovascular risk reduction. However, a large randomized trial would help to confirm this belief.

Restart angiotensin II receptor blockers soon after surgery

Lee SM, Takemoto S, Wallace AW. Association between withholding angiotensin receptor blockers in the early postoperative period and 30-day mortality: a cohort study of the Veterans Affairs Healthcare System. Anesthesiology 2015; 123:288–306.

A concern about perioperative use of ARBs is that they impair the renin-angiotensin-aldosterone system, which maintains blood pressure under general anesthesia. ARB-induced intraoperative hypotension is particularly difficult to control, as it is often refractory to treatment with conventional adrenergic vasopressors.

The study. Lee et al14 conducted a retrospective cohort trial to evaluate the effects of continuing to withhold ARBs postoperatively. Of the 30,173 patients admitted for surgery in the Veterans Affairs system from 1999 through 2011 who were taking an ARB before surgery and who met the inclusion criteria, 10,205 (33.8%) were not restarted on their medication by postoperative day 2.

Results. The mortality rate at 30 days was higher in those whose ARBs were withheld than in those in whom it was resumed, with a multivariable-adjusted hazard ratio of 1.74 (95% CI 1.47–2.06; P < .001). The risk of withholding ARBs was more pronounced in younger patients (hazard ratio 2.52; 95% CI 1.69–3.76 in those under age 60) than in older patients (hazard ratio 1.42, 95% CI 1.09–1.85 in those over age 75).

Implications for clinical practice. While not addressing whether to continue or withhold ARBs preoperatively, this retrospective study presented evidence that delay in resuming chronic ARB therapy after surgery was common and appeared to be associated with a higher 30-day mortality rate. The ACC/AHA guidelines1 state:

cohn_perioperativecardiacmedicine_t1.gif

  • Continuing angiotensin-converting enzyme (ACE) inhibitors or ARBs perioperatively is reasonable (class IIa recommendation, level of evidence B) (Table 1).
  • If an ACE inhibitor or ARB is withheld before surgery, it is reasonable to restart it postoperatively as soon as clinically feasible (class IIa recommendation, level of evidence C).

Close attention to medication reconciliation in the postoperative period is necessary to facilitate early resumption of ARBs.

CORONARY STENTS AND ANTIPLATELET THERAPY IN NONCARDIAC SURGERY PATIENTS

Considerations in the management of noncardiac surgery patients with stents include risks of stent thrombosis, bleeding, and potentially delaying procedures to continue uninterrupted dual antiplatelet therapy. Evidence is evolving regarding the risks of perioperative complications in patients with bare-metal stents and drug-eluting stents, as well as the optimal timing before noncardiac surgery.

Bare-metal vs drug-eluting stents

Bangalore S, Silbaugh TS, Normand SL, Lovett AF, Welt FG, Resnic FS. Drug-eluting stents versus bare metal stents prior to noncardiac surgery. Catheter Cardiovasc Interv 2015; 85:533–541.

The study. Bangalore et al15 compared the safety of drug-eluting vs bare-metal stents in noncardiac surgery patients and investigated adverse events stratified by time since stent placement. This was a retrospective observational study of 8,415 patients in the Massachusetts claims database who underwent noncardiac surgery 1 year or less after percutaneous coronary intervention.

Results. There was no significant difference in the incidence of the primary outcome (composite of death, myocardial infarction, and bleeding) between the two groups.

With drug-eluting stents, patients had lower 30-day postoperative mortality rates, and their rate of the primary outcome decreased with time from percutaneous coronary intervention to surgery, being lowest beyond 90 days:

  • 8.6% in days 1–30
  • 7.5% in days 31–90
  • 5.2% in days 91–180
  • 5.8% in days 181–365 (P = .02).

With bare-metal stents, the event rate remained high over time:

  • 8.2% in days 1–30
  • 6.6% in days 31–90
  • 8.1% in days 91–180
  • 8.8% in days 181–365 (P = .60).

This study did not report information about perioperative antiplatelet management and was limited to first-generation drug-eluting stents. 

Saia F, Belotti LM, Guastaroba P, et al. Risk of adverse cardiac and bleeding events following cardiac and noncardiac surgery in patients with coronary stents: how important is the interplay between stent type and time from stenting to surgery? Circ Cardiovasc Qual Outcomes 2015; 9:39–47.

The study. Saia et al16 retrospectively examined predictors of periprocedural ischemic and bleeding events among cardiac and noncardiac surgical patients who had previously undergone percutaneous coronary intervention. They also assessed the risks associated with stent type and time from percutaneous coronary intervention to surgery.

Of 39,362 patients, 13,128 underwent procedures during the 5-year study period. The cumulative incidence of surgery was 3.6% at 30 days, 14% at 1 year, and 40% at 5 years after percutaneous coronary intervention. Almost 30% of the procedures were done urgently.

Results. The 30-day rate of postoperative cardiac death was 2.5%, nonfatal myocardial infarction 1.5%, and serious bleeding events 6.5%. Older drug-eluting stents were associated with higher risks of adverse events than newer drug-eluting stents at any time point (odds ratio 2.1 at 0–180 days, 1.9 at 6–12 months, and 1.45 after 12 months). Surgery performed 6 to 12 months after percutaneous coronary intervention had lower rates of adverse outcomes than surgery performed within 6 months. Beyond 6 months from percutaneous coronary intervention, bare-metal stents and newer drug-eluting stents did not have significantly different adverse event rates; however, newer drug-eluting stents appeared safer than bare-metal stents from 0 to 180 days.

Limitations of this study included lack of information regarding periprocedural antiplatelet management and a relatively small subset of newer drug-eluting stent patients.

Implications for clinical practice. These studies added to earlier work that demonstrated that the risk of perioperative adverse events differs by both the stent type and the time from percutaneous coronary intervention to noncardiac surgery. In patients with a drug-eluting stent, the risk levels off 90 days after percutaneous coronary intervention, suggesting that the previously recommended 12 months of uninterrupted dual antiplatelet therapy (per the 2014 ACC/AHA guidelines1) may not be needed, particularly with newer-generation drug-eluting stents. Based on new evidence, the ACC/AHA guidelines regarding perioperative management of dual antiplatelet therapy in noncardiac surgery patients were updated,17 as noted below.

An update to the ACC/AHA guidelines on dual antiplatelet therapy

Levine GN, Bates ER, Bittl JA, et al. 2016 ACC/AHA guideline focused update on duration of dual antiplatelet therapy in patients with coronary artery disease. Circulation 2016 Mar 29. DOI: 10.1161/CIR.0000000000000404. [Epub ahead of print]

The 2016 update17 provides the following recommendations for patients with coronary stents who undergo noncardiac surgery:

  • Delay elective surgery for 30 days after placement of a bare-metal stent (class I recommendation, level of evidence B).
  • It is optimal to delay elective surgery 6 months after drug-eluting stent placement (class I recommendation, level of evidence B).
  • If dual antiplatelet therapy must be discontinued, then continue aspirin if possible and restart the P2Y12 inhibitor as soon as possible postoperatively (class I recommendation, level of evidence C ).
  • A consensus decision among treating clinicians is useful regarding the risks of surgery and discontinuation or continuation of antiplatelet therapy (class IIa recommendation, level of evidence C).
  • If dual antiplatelet therapy must be discontinued, then elective surgery should not be performed less than 30 days after bare-metal stent placement, or less than 3 months after drug-eluting stent placement (class III recommendation, level of evidence B).
  • Elective surgery after drug-eluting stent placement when the P2Y12 inhibitor must be discontinued may be considered 3 months after drug-eluting stent placement if the risk of surgical delay is greater than the risk of stent thrombosis (class IIb recommendation, level of evidence C).

The basic differences are the new recommendations for a minimum of 6 months of dual antiplatelet therapy as opposed to 12 months after drug-eluting stent placement before elective noncardiac surgery, and to allow surgery after 3 months (as opposed to 6 months) if the risk of delaying surgery outweighs the risk of stent thrombosis or myocardial infarction.

PERIOPERATIVE ANTICOAGULATION

The optimal perioperative management of patients with atrial fibrillation who are on warfarin is uncertain. The American College of Chest Physicians guidelines18 categorized patients with atrial fibrillation into low, moderate, and high thromboembolic risk. Based primarily on observational data, these guidelines recommended perioperative bridging anticoagulation for those at high risk but not for those at low risk. For intermediate-risk patients, there were insufficient data to make any recommendation.

Bridging may not benefit those at intermediate risk

Douketis JD, Spyropoulos AC, Kaatz S, et al; BRIDGE Investigators. Perioperative bridging anticoagulation in patients with atrial fibrillation. N Engl J Med 2015; 373:823–833.

The study. The Bridging Anticoagulation in Patients Who Require Temporary Interruption of Warfarin Therapy for an Elective Invasive Procedure or Surgery (BRIDGE) trial19 was the first randomized controlled trial to examine the effects of perioperative bridging anticoagulation in patients with atrial fibrillation without mechanical heart valves.

Results. In 1,884 patients undergoing elective surgery, the incidence of arterial thromboembolism was 0.4% in the no-bridging group and 0.3% in the bridging group (95% CI −0.6 to 0.8; P = .01 for noninferiority). Major bleeding occurred in 1.3% of patients in the no-bridging group and 3.2% in the bridging group (95% CI 0.20–0.78; P = .005 for superiority).

These results suggest that the risks of bridging therapy are greater than the benefits. Of note, the mean CHADS2 score (1 point each for congestive heart failure, hypertension, age ≥ 75 years, and diabetes mellitus; 2 points for previous stroke or transient ischemic attack; a total score > 2 indicates significant risk of stroke) for patients enrolled in this trial was 2.3, and it may be difficult to extrapolate these results to the limited number of patients at highest risk, ie, who have a CHADS2 score of 5 or 6. Also, this study did not address patients with arterial or venous thromboembolism.

Implications for clinical practice. Despite the limitations noted above, this study does provide guidance for management of the intermediate-risk group with atrial fibrillation as defined by the American College of Chest Physicians: a no-bridging strategy is the best option.

References
  1. Fleisher LA, Fleischmann KE, Auerbach AD, et al. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 2014; 64:e77–e137.
  2. Lee TH, Marcantonio ER, Mangione CM, et al. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation 1999; 100:1043–1049.
  3. Dripps RD, Lamont A, Eckenhoff JE. The role of anesthesia in surgical mortality. JAMA 1961; 178:261–266.
  4. Visnjevac O, Davari-Farid S, Lee J, et al. The effect of adding functional classification to ASA status for predicting 30-day mortality. Anesth Analg 2015; 121:110–116.
  5. Pandey A, Sood A, Sammon JD, et al. Effect of preoperative angina pectoris on cardiac outcomes in patients with previous myocardial infarction undergoing major noncardiac surgery (data from ACS-NSQIP). Am J Cardiol 2015; 115:1080–1084.
  6. Friedell ML, Van Way CW 3rd, Freyberg RW, Almenoff PL. ß-blockade and operative mortality in noncardiac surgery: harmful or helpful? JAMA Surg 2015; 150:658–663.
  7. Jørgensen ME, Hlatky MA, Køber L, et al. ß-blocker-associated risks in patients with uncomplicated hypertension undergoing noncardiac surgery. JAMA Intern Med 2015; 175:1923–1931.
  8. Lindenauer PK, Pekow P, Wang K, Mamidi DK, Gutierrez B, Benjamin EM. Perioperative beta-blocker therapy and mortality after major noncardiac surgery. N Engl J Med 2005; 353:349–361.
  9. Antoniou GA, Hajibandeh S, Hajibandeh S, Vallabhaneni SR, Brennan JA, Torella F. Meta-analysis of the effects of statins on perioperative outcomes in vascular and endovascular surgery. J Vasc Surg 2015; 61:519–532.
  10. Vascular Events In Noncardiac Surgery Patients Cohort Evaluation Study I; Devereaux PJ, Chan MT, Alonso-Coello P, et al. Association between postoperative troponin levels and 30-day mortality among patients undergoing noncardiac surgery. JAMA 2012; 307:2295–2304.
  11. Berwanger O, Le Manach Y, Suzumura EA, et al. Association between pre-operative statin use and major cardiovascular complications among patients undergoing non-cardiac surgery: the VISION study. Eur Heart J 2016; 37:177–185.
  12. Laufs U, Wassmann S, Hilgers S, Ribaudo N, Bohm M, Nickenig G. Rapid effects on vascular function after initiation and withdrawal of atorvastatin in healthy, normocholesterolemic men. Am J Cardiol 2001; 88:1306–1307.
  13. Schouten O, Kertai MD, Bax JJ, et al. Safety of perioperative statin use in high-risk patients undergoing major vascular surgery. Am J Cardiol 2005; 95:658–660.
  14. Lee SM, Takemoto S, Wallace AW. Association between withholding angiotensin receptor blockers in the early postoperative period and 30-day mortality: a cohort study of the Veterans Affairs Healthcare System. Anesthesiology 2015; 123:288–306.
  15. Bangalore S, Silbaugh TS, Normand SL, Lovett AF, Welt FG, Resnic FS. Drug-eluting stents versus bare metal stents prior to noncardiac surgery. Catheter Cardiovasc Interv 2015; 85:533–541.
  16. Saia F, Belotti LM, Guastaroba P, et al. Risk of adverse cardiac and bleeding events following cardiac and noncardiac surgery in patients with coronary stents: how important is the interplay between stent type and time from stenting to surgery? Circ Cardiovasc Qual Outcomes 2015; 9:39–47.
  17. Levine GN, Bates ER, Bittl JA, et al. 2016 ACC/AHA guideline focused update on duration of dual antiplatelet therapy in patients with coronary artery disease. Circulation 2016 Mar 29 DOI: 10.1161/CIR.0000000000000404. [Epub ahead of print]. Accessed August 16, 2016.
  18. Douketis JD, Spyropoulos AC, Spencer FA, et al; American College of Chest Physicians. Perioperative management of antithrombotic therapy: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines. Chest 2012; 141(suppl 2):e326S–e350S. Erratum in Chest 2012; 141:1129.
  19. Douketis JD, Spyropoulos AC, Kaatz S, et al; BRIDGE Investigators. Perioperative bridging anticoagulation in patients with atrial fibrillation. N Engl J Med 2015; 373:823–833.
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Author and Disclosure Information

Steven L. Cohn, MD, MS, FACP, SFHM
Medical Director, UHealth Preoperative Assessment Center; Director, Medical Consultation Services, University of Miami Hospital/Jackson Memorial Hospital; Professor of Clinical Medicine, University of Miami Miller School of Medicine, Miami, FL

Suparna Dutta, MD, MPH
Assistant Professor, Rush University Medical Center, Chicago, IL; Associate Division Chief, Division of Hospital Medicine, and Medical Director, Attending Directed Service, Rush University Medical College, Chicago, IL

Barbara A. Slawski, MD, MS, FACP, SFHM
Professor of Medicine and Orthopedic Surgery; Chief, Section of Perioperative and Consultative Medicine; Medical College of Wisconsin, Milwaukee

Paul J. Grant, MD, SFHM, FACP
Assistant Professor of Medicine and Director, Perioperative and Consultative Medicine, Division of General Medicine, University of Michigan Health System, Ann Arbor, MI

Gerald W. Smetana, MD, FACP
Professor of Medicine, Harvard Medical School; Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, MA

Address: Steven L. Cohn, MD, University of Miami Miller School of Medicine, 1120 NW 14th St., CRB-1140, Miami, FL 33136; scohn@med.miami.edu

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Cleveland Clinic Journal of Medicine - 83(10)
Publications
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723-730
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perioperative medicine, preoperative assessment, beta-blockers, statins, angiotensin II receptor blockers, ARBs, stents, dual antiplatelet therapy, DAPT, anticoagulation, bridging anticoagulation, Steven Cohn, Suparna Dutta, Barbara Slawski, Paul Grant, Gerald Smetana
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Author and Disclosure Information

Steven L. Cohn, MD, MS, FACP, SFHM
Medical Director, UHealth Preoperative Assessment Center; Director, Medical Consultation Services, University of Miami Hospital/Jackson Memorial Hospital; Professor of Clinical Medicine, University of Miami Miller School of Medicine, Miami, FL

Suparna Dutta, MD, MPH
Assistant Professor, Rush University Medical Center, Chicago, IL; Associate Division Chief, Division of Hospital Medicine, and Medical Director, Attending Directed Service, Rush University Medical College, Chicago, IL

Barbara A. Slawski, MD, MS, FACP, SFHM
Professor of Medicine and Orthopedic Surgery; Chief, Section of Perioperative and Consultative Medicine; Medical College of Wisconsin, Milwaukee

Paul J. Grant, MD, SFHM, FACP
Assistant Professor of Medicine and Director, Perioperative and Consultative Medicine, Division of General Medicine, University of Michigan Health System, Ann Arbor, MI

Gerald W. Smetana, MD, FACP
Professor of Medicine, Harvard Medical School; Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, MA

Address: Steven L. Cohn, MD, University of Miami Miller School of Medicine, 1120 NW 14th St., CRB-1140, Miami, FL 33136; scohn@med.miami.edu

Author and Disclosure Information

Steven L. Cohn, MD, MS, FACP, SFHM
Medical Director, UHealth Preoperative Assessment Center; Director, Medical Consultation Services, University of Miami Hospital/Jackson Memorial Hospital; Professor of Clinical Medicine, University of Miami Miller School of Medicine, Miami, FL

Suparna Dutta, MD, MPH
Assistant Professor, Rush University Medical Center, Chicago, IL; Associate Division Chief, Division of Hospital Medicine, and Medical Director, Attending Directed Service, Rush University Medical College, Chicago, IL

Barbara A. Slawski, MD, MS, FACP, SFHM
Professor of Medicine and Orthopedic Surgery; Chief, Section of Perioperative and Consultative Medicine; Medical College of Wisconsin, Milwaukee

Paul J. Grant, MD, SFHM, FACP
Assistant Professor of Medicine and Director, Perioperative and Consultative Medicine, Division of General Medicine, University of Michigan Health System, Ann Arbor, MI

Gerald W. Smetana, MD, FACP
Professor of Medicine, Harvard Medical School; Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, MA

Address: Steven L. Cohn, MD, University of Miami Miller School of Medicine, 1120 NW 14th St., CRB-1140, Miami, FL 33136; scohn@med.miami.edu

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Related Articles

Perioperative medicine is an evolving field with a rapidly growing body of literature. Because physicians and patients are often concerned about cardiac risk, we focus this review on perioperative cardiology.

The information we present here is derived from presentations at the Perioperative Medicine Summit and the annual meetings of the Society of Hospital Medicine and Society of General Internal Medicine in 2016. We surveyed perioperative literature from January 2015 through March 2016 and chose the final articles by consensus, based on relevance to clinicians who provide preoperative evaluations and postoperative care to surgical patients.

We have divided this review into four sections:

  • Preoperative cardiac risk assessment
  • Medical therapy to reduce postoperative cardiac complications (beta-blockers, statins, and angiotensin II receptor blockers [ARBs])
  • Perioperative management of patients with a coronary stent on antiplatelet therapy
  • Perioperative bridging anticoagulation.

PREOPERATIVE ASSESSMENT OF CARDIAC RISK

Functionally independent patients do better

Visnjevac O, Davari-Farid S, Lee J, et al. The effect of adding functional classification to ASA status for predicting 30-day mortality. Anesth Analg 2015; 121:110–116.

Functional capacity is an independent predictor of perioperative death and is included in the algorithm of the current joint American College of Cardiology/American Heart Association (ACC/AHA) guidelines,1 but it is not in the Revised Cardiac Risk Index2 or the American Society of Anesthesiologists (ASA) classification.3

The study. Visnjevac et al4 performed a retrospective, observational cohort study of 12,324 patients who underwent noncardiac surgery, stratifying rates of all-cause mortality and 30-day postoperative complications based on ASA class and functional capacity.

The ASA physical status classification is defined as:

  • 1—Normal healthy patient
  • 2—Patient with mild systemic disease
  • 3—Patient with severe systemic disease
  • 4—Patient with severe systemic disease that is a constant threat to life
  • 5—Moribund patient not expected to survive without surgery.

Functional capacity was defined as the ability to perform all activities of daily living. It was prospectively assessed during the patient interview by pre-anesthesia personnel and entered into the database of the Veterans Affairs Surgical Quality Improvement Program.

Results. Within each ASA class, the mortality rate was significantly lower for functionally independent patients than for partially or fully dependent patients:

  • In class 2—odds ratio (OR) 0.14 for functionally independent patients
  • In class 3—OR 0.29 for functionally independent patients
  • In class 4—OR 0.5 for functionally independent patients.

The mortality rate was higher for dependent patients than for independent patients who were one ASA class higher, despite the higher class having greater rates of comorbidity.

Adding functional capacity to the ASA classification improved the area under the receiver operating curve from 0.811 to 0.848 (a perfect test would have a value of 1.0), suggesting that physicians should incorporate functional capacity into their preoperative evaluation, perhaps by increasing a patient’s ASA class to the next higher class if he or she is functionally dependent.

Angina portends poor outcomes

Pandey A, Sood A, Sammon JD, et al. Effect of preoperative angina pectoris on cardiac outcomes in patients with previous myocardial infarction undergoing major noncardiac surgery (data from ACS-NSQIP). Am J Cardiol 2015; 115:1080–1084.

Coronary artery disease is a risk factor for adverse perioperative outcomes, but the risk varies depending on whether the patient has had a myocardial infarction (and how long ago) and whether he or she has anginal symptoms (and how severe they are).

The study. Pandey et al5 used data from the American College of Surgeons National Surgical Quality Improvement Program to evaluate the impact of stable angina in 1,568 patients who underwent noncardiac surgery after a myocardial infarction.

Results. Postoperative myocardial infarction or cardiac arrest occurred in 5.5% of patients. The incidence was significantly greater in those who had anginal symptoms before surgery than in those without symptoms (8.4% vs 5%, P = .035); reintervention rates and length of stay were also higher in this group. In multivariate analysis, preoperative angina remained a significant predictor of postoperative myocardial infarction (OR 2.49, 95% confidence interval [CI] 1.20–5.81) and re­intervention (OR 2.4, 95% CI 1.44–3.82.

The authors cautioned against relying on predictive tools such as the Revised Cardiac Risk Index that do not consider stable angina and previous myocardial infarction as separate independent risk factors.

Implications for clinical practice. While functional capacity is an integral part of the ACC/AHA guideline algorithm,1 the findings of these two studies suggest that other current tools to calculate perioperative risk (ASA class and Revised Cardiac Risk Index) could be improved by including functional capacity and stable angina.

PERIOPERATIVE MEDICAL THERAPY

Beta-blockers help only those at high risk and may harm others

Friedell ML, Van Way CW 3rd, Freyberg RW, Almenoff PL. ß-blockade and operative mortality in noncardiac surgery: harmful or helpful? JAMA Surg 2015; 150:658–663.

Beta-blockers have been used perioperatively for nearly 2 decades to try to reduce rates of postoperative major adverse cardiovascular events. However, in view of recent trials, fewer patients are likely to benefit from this intervention than has been thought.

The study. Friedell et al6 retrospectively analyzed data from 343,645 patients in Veterans Affairs hospitals to determine the effect of beta-blockers on major adverse cardiac event rates after major noncardiac surgery. Beta-blockers were considered to have been used perioperatively if given any time between 8 hours before and 24 hours after surgery. The outcome studied was the mortality rate at 30 days.

The authors derived a novel risk score and used multivariate analysis to attempt to adjust for confounding factors. The risk score was based on four risk factors identified a priori:

  • Serum creatinine level > 2.0 mg/dL
  • Coronary artery disease
  • Diabetes
  • Surgery in a major body cavity (abdomen or chest).

Results. In this cohort, 43.2% of patients had received a beta-blocker. The unadjusted mortality rates by risk category for patients receiving or not receiving a beta-blocker were:

  • No risk factors: 1.0% with a beta-blocker vs 0.6% without
  • One or two risk factors: 1.7% vs 1.5%
  • Three or four risk factors: 2.3% vs 4.5%.

After adjustment for confounding factors, the 30-day mortality rate was higher in low-risk patients and lower in high-risk patients who received beta-blockers. Odds ratios for death in beta-blocker users (entire cohort) by risk category were:

  • No risk factors: 1.19
  • One or two risk factors 0.97
  • Three or four risk factors 0.76.

In the 3.8% of the total cohort who underwent cardiac surgery, beta-blockers had no significant effect—beneficial or harmful—in any risk group.

Jørgensen ME, Hlatky MA, Køber L, et al. ß-blocker-associated risks in patients with uncomplicated hypertension undergoing noncardiac surgery. JAMA Intern Med 2015; 175:1923–1931.

The study. Jørgensen et al7 investigated the association between chronic beta-blocker use for the treatment of hypertension and 30-day rates of mortality and major adverse cardiac events. Eligible patients (N = 55,320) were at least 20 years old and were undergoing any type of noncardiac surgery. The authors established that hypertension was present through use of an algorithm based on the International Classification of Diseases (10th edition). Patients with existing cardiovascular disease and renal disease were excluded. The authors used multivariate analysis to adjust for confounding factors.

Results. Twenty-six percent of the patients were on chronic beta-blocker therapy for hypertension. The mortality rate at 30 days was 1.93% in patients treated with a beta-blocker alone or in combination with other antihypertensive drugs; the rate was 1.32% for patients receiving any combination of renin-angiotensin system inhibitor, calcium antagonist, or thiazide, but no beta-blocker. Similarly, the 30-day major adverse cardiac event rates were 1.32% with beta-blockers and 0.84% without beta-blockers.

In subgroup analysis, each medication combination that included a beta-blocker was associated with higher rates of death and major adverse cardiac events than the same combination without a beta-blocker. Odds ratios for major adverse cardiac events with beta-blocker combinations ranged from 1.22 to 2.16 compared with regimens with no beta-blocker.

Implications for clinical practice. These two studies added to a growing chorus of concerns about the value and safety of beta-blockers in surgical patients. Friedell et al6 made an observation that was remarkably similar to one reported by Lindenauer et al8 in 2005: when patients were stratified by baseline risk of death, only those with the highest baseline risk benefited from beta-blocker therapy. Those in the lowest risk group actually were harmed by beta-blocker use, ie, the mortality rate was higher.

More interesting is the novel observation by Jørgensen et al7 that even in patients with no known cardiovascular disease who are on chronic beta-blocker therapy—presumably on stable doses and not solely for perioperative risk reduction—rates of mortality and major adverse cardiac events were higher than for patients not on chronic beta-blocker therapy.

The current studies support a cautious, selective approach to the perioperative use of beta-blockers—they should be used only in high-risk patients undergoing high-risk surgery, as has been proposed by the ACC/AHA.1

 

 

Statins protect

Antoniou GA, Hajibandeh S, Hajibandeh S, Vallabhaneni SR, Brennan JA, Torella F. Meta-analysis of the effects of statins on perioperative outcomes in vascular and endovascular surgery. J Vasc Surg 2015; 61:519–532.

The study9 was a comprehensive meta-analysis of randomized controlled trials and observational studies of the effects of HMG-CoA reductase inhibitors (statins) on perioperative outcomes in patients undergoing vascular surgery (but not for intracranial or coronary artery disease). Twenty-four studies were included, 4 randomized controlled trials and 20 observational studies (including 16 cohort and 4 case-controlled studies), with a total of 22,536 patients, 8,052 receiving statins and 15,484 not receiving statins.

Results. Although there was no significant difference in cardiovascular mortality rates, patients receiving statins had significantly lower rates of all-cause mortality, myocardial infarction, stroke, and a composite of myocardial infarction, stroke, and death at 30 days postoperatively than patients not receiving statins. Additionally, there was no difference in the incidence of kidney injury between groups. The possibility of publication bias was thought to be low for all of these outcomes.

Berwanger O, Le Manach Y, Suzumura EA, et al. Association between pre-operative statin use and major cardiovascular complications among patients undergoing non-cardiac surgery: the VISION study. Eur Heart J 2016; 37:177–185.

The study. The Vascular Events in Non-cardiac Surgery Patients Cohort Evaluation (VISION) study10,11 was an international prospective cohort study of more than 40,000 patients age 45 and older undergoing major noncardiac surgery with either general or regional anesthesia. Postoperative troponin measurements were obtained in all patients 6 to 12 hours after surgery and for the first 3 postoperative days. The authors evaluated the effect of preoperative statin use on cardiovascular outcomes at 30 days after surgery using a multivariate logistic model and propensity score analysis to correct for confounding factors. Statin use was defined as exposure within 7 days before surgery or 3 days after.

Results. In the 15,478 patients included in the analysis, statin use conferred a significant reduction in the primary outcome (composite of all-cause mortality, myocardial injury after noncardiac surgery, or stroke); the absolute risk reduction was 2.0%. Statin users also had a significantly lower risk of all-cause mortality, cardiovascular mortality, and myocardial injury after noncardiac surgery, but not of postoperative myocardial infarction or stroke. This analysis did not address the type of statin, dosing, or safety markers such as liver and muscle function.

Implications for clinical practice. With largely observational data and a few small randomized trials, these meta-analyses provide important information with respect to perioperative cardiovascular protection by statins. Starting a statin before surgery and continuing it perioperatively seems appropriate in patients at high risk (as recommended by the ACC/AHA guidelines1). Based on other data, the benefit may be evident in as little as 5 days, as this is when statins appear to reach their plateau with regard to their vascular pleiotropic effects.12 The incidence of adverse effects of statins, including muscle and liver injury, appears to be low in the perioperative setting.13

Given the inconsistent data regarding perioperative beta-blocker therapy, statins may very well be the most important perioperative medication with respect to cardiovascular risk reduction. However, a large randomized trial would help to confirm this belief.

Restart angiotensin II receptor blockers soon after surgery

Lee SM, Takemoto S, Wallace AW. Association between withholding angiotensin receptor blockers in the early postoperative period and 30-day mortality: a cohort study of the Veterans Affairs Healthcare System. Anesthesiology 2015; 123:288–306.

A concern about perioperative use of ARBs is that they impair the renin-angiotensin-aldosterone system, which maintains blood pressure under general anesthesia. ARB-induced intraoperative hypotension is particularly difficult to control, as it is often refractory to treatment with conventional adrenergic vasopressors.

The study. Lee et al14 conducted a retrospective cohort trial to evaluate the effects of continuing to withhold ARBs postoperatively. Of the 30,173 patients admitted for surgery in the Veterans Affairs system from 1999 through 2011 who were taking an ARB before surgery and who met the inclusion criteria, 10,205 (33.8%) were not restarted on their medication by postoperative day 2.

Results. The mortality rate at 30 days was higher in those whose ARBs were withheld than in those in whom it was resumed, with a multivariable-adjusted hazard ratio of 1.74 (95% CI 1.47–2.06; P < .001). The risk of withholding ARBs was more pronounced in younger patients (hazard ratio 2.52; 95% CI 1.69–3.76 in those under age 60) than in older patients (hazard ratio 1.42, 95% CI 1.09–1.85 in those over age 75).

Implications for clinical practice. While not addressing whether to continue or withhold ARBs preoperatively, this retrospective study presented evidence that delay in resuming chronic ARB therapy after surgery was common and appeared to be associated with a higher 30-day mortality rate. The ACC/AHA guidelines1 state:

cohn_perioperativecardiacmedicine_t1.gif

  • Continuing angiotensin-converting enzyme (ACE) inhibitors or ARBs perioperatively is reasonable (class IIa recommendation, level of evidence B) (Table 1).
  • If an ACE inhibitor or ARB is withheld before surgery, it is reasonable to restart it postoperatively as soon as clinically feasible (class IIa recommendation, level of evidence C).

Close attention to medication reconciliation in the postoperative period is necessary to facilitate early resumption of ARBs.

CORONARY STENTS AND ANTIPLATELET THERAPY IN NONCARDIAC SURGERY PATIENTS

Considerations in the management of noncardiac surgery patients with stents include risks of stent thrombosis, bleeding, and potentially delaying procedures to continue uninterrupted dual antiplatelet therapy. Evidence is evolving regarding the risks of perioperative complications in patients with bare-metal stents and drug-eluting stents, as well as the optimal timing before noncardiac surgery.

Bare-metal vs drug-eluting stents

Bangalore S, Silbaugh TS, Normand SL, Lovett AF, Welt FG, Resnic FS. Drug-eluting stents versus bare metal stents prior to noncardiac surgery. Catheter Cardiovasc Interv 2015; 85:533–541.

The study. Bangalore et al15 compared the safety of drug-eluting vs bare-metal stents in noncardiac surgery patients and investigated adverse events stratified by time since stent placement. This was a retrospective observational study of 8,415 patients in the Massachusetts claims database who underwent noncardiac surgery 1 year or less after percutaneous coronary intervention.

Results. There was no significant difference in the incidence of the primary outcome (composite of death, myocardial infarction, and bleeding) between the two groups.

With drug-eluting stents, patients had lower 30-day postoperative mortality rates, and their rate of the primary outcome decreased with time from percutaneous coronary intervention to surgery, being lowest beyond 90 days:

  • 8.6% in days 1–30
  • 7.5% in days 31–90
  • 5.2% in days 91–180
  • 5.8% in days 181–365 (P = .02).

With bare-metal stents, the event rate remained high over time:

  • 8.2% in days 1–30
  • 6.6% in days 31–90
  • 8.1% in days 91–180
  • 8.8% in days 181–365 (P = .60).

This study did not report information about perioperative antiplatelet management and was limited to first-generation drug-eluting stents. 

Saia F, Belotti LM, Guastaroba P, et al. Risk of adverse cardiac and bleeding events following cardiac and noncardiac surgery in patients with coronary stents: how important is the interplay between stent type and time from stenting to surgery? Circ Cardiovasc Qual Outcomes 2015; 9:39–47.

The study. Saia et al16 retrospectively examined predictors of periprocedural ischemic and bleeding events among cardiac and noncardiac surgical patients who had previously undergone percutaneous coronary intervention. They also assessed the risks associated with stent type and time from percutaneous coronary intervention to surgery.

Of 39,362 patients, 13,128 underwent procedures during the 5-year study period. The cumulative incidence of surgery was 3.6% at 30 days, 14% at 1 year, and 40% at 5 years after percutaneous coronary intervention. Almost 30% of the procedures were done urgently.

Results. The 30-day rate of postoperative cardiac death was 2.5%, nonfatal myocardial infarction 1.5%, and serious bleeding events 6.5%. Older drug-eluting stents were associated with higher risks of adverse events than newer drug-eluting stents at any time point (odds ratio 2.1 at 0–180 days, 1.9 at 6–12 months, and 1.45 after 12 months). Surgery performed 6 to 12 months after percutaneous coronary intervention had lower rates of adverse outcomes than surgery performed within 6 months. Beyond 6 months from percutaneous coronary intervention, bare-metal stents and newer drug-eluting stents did not have significantly different adverse event rates; however, newer drug-eluting stents appeared safer than bare-metal stents from 0 to 180 days.

Limitations of this study included lack of information regarding periprocedural antiplatelet management and a relatively small subset of newer drug-eluting stent patients.

Implications for clinical practice. These studies added to earlier work that demonstrated that the risk of perioperative adverse events differs by both the stent type and the time from percutaneous coronary intervention to noncardiac surgery. In patients with a drug-eluting stent, the risk levels off 90 days after percutaneous coronary intervention, suggesting that the previously recommended 12 months of uninterrupted dual antiplatelet therapy (per the 2014 ACC/AHA guidelines1) may not be needed, particularly with newer-generation drug-eluting stents. Based on new evidence, the ACC/AHA guidelines regarding perioperative management of dual antiplatelet therapy in noncardiac surgery patients were updated,17 as noted below.

An update to the ACC/AHA guidelines on dual antiplatelet therapy

Levine GN, Bates ER, Bittl JA, et al. 2016 ACC/AHA guideline focused update on duration of dual antiplatelet therapy in patients with coronary artery disease. Circulation 2016 Mar 29. DOI: 10.1161/CIR.0000000000000404. [Epub ahead of print]

The 2016 update17 provides the following recommendations for patients with coronary stents who undergo noncardiac surgery:

  • Delay elective surgery for 30 days after placement of a bare-metal stent (class I recommendation, level of evidence B).
  • It is optimal to delay elective surgery 6 months after drug-eluting stent placement (class I recommendation, level of evidence B).
  • If dual antiplatelet therapy must be discontinued, then continue aspirin if possible and restart the P2Y12 inhibitor as soon as possible postoperatively (class I recommendation, level of evidence C ).
  • A consensus decision among treating clinicians is useful regarding the risks of surgery and discontinuation or continuation of antiplatelet therapy (class IIa recommendation, level of evidence C).
  • If dual antiplatelet therapy must be discontinued, then elective surgery should not be performed less than 30 days after bare-metal stent placement, or less than 3 months after drug-eluting stent placement (class III recommendation, level of evidence B).
  • Elective surgery after drug-eluting stent placement when the P2Y12 inhibitor must be discontinued may be considered 3 months after drug-eluting stent placement if the risk of surgical delay is greater than the risk of stent thrombosis (class IIb recommendation, level of evidence C).

The basic differences are the new recommendations for a minimum of 6 months of dual antiplatelet therapy as opposed to 12 months after drug-eluting stent placement before elective noncardiac surgery, and to allow surgery after 3 months (as opposed to 6 months) if the risk of delaying surgery outweighs the risk of stent thrombosis or myocardial infarction.

PERIOPERATIVE ANTICOAGULATION

The optimal perioperative management of patients with atrial fibrillation who are on warfarin is uncertain. The American College of Chest Physicians guidelines18 categorized patients with atrial fibrillation into low, moderate, and high thromboembolic risk. Based primarily on observational data, these guidelines recommended perioperative bridging anticoagulation for those at high risk but not for those at low risk. For intermediate-risk patients, there were insufficient data to make any recommendation.

Bridging may not benefit those at intermediate risk

Douketis JD, Spyropoulos AC, Kaatz S, et al; BRIDGE Investigators. Perioperative bridging anticoagulation in patients with atrial fibrillation. N Engl J Med 2015; 373:823–833.

The study. The Bridging Anticoagulation in Patients Who Require Temporary Interruption of Warfarin Therapy for an Elective Invasive Procedure or Surgery (BRIDGE) trial19 was the first randomized controlled trial to examine the effects of perioperative bridging anticoagulation in patients with atrial fibrillation without mechanical heart valves.

Results. In 1,884 patients undergoing elective surgery, the incidence of arterial thromboembolism was 0.4% in the no-bridging group and 0.3% in the bridging group (95% CI −0.6 to 0.8; P = .01 for noninferiority). Major bleeding occurred in 1.3% of patients in the no-bridging group and 3.2% in the bridging group (95% CI 0.20–0.78; P = .005 for superiority).

These results suggest that the risks of bridging therapy are greater than the benefits. Of note, the mean CHADS2 score (1 point each for congestive heart failure, hypertension, age ≥ 75 years, and diabetes mellitus; 2 points for previous stroke or transient ischemic attack; a total score > 2 indicates significant risk of stroke) for patients enrolled in this trial was 2.3, and it may be difficult to extrapolate these results to the limited number of patients at highest risk, ie, who have a CHADS2 score of 5 or 6. Also, this study did not address patients with arterial or venous thromboembolism.

Implications for clinical practice. Despite the limitations noted above, this study does provide guidance for management of the intermediate-risk group with atrial fibrillation as defined by the American College of Chest Physicians: a no-bridging strategy is the best option.

Perioperative medicine is an evolving field with a rapidly growing body of literature. Because physicians and patients are often concerned about cardiac risk, we focus this review on perioperative cardiology.

The information we present here is derived from presentations at the Perioperative Medicine Summit and the annual meetings of the Society of Hospital Medicine and Society of General Internal Medicine in 2016. We surveyed perioperative literature from January 2015 through March 2016 and chose the final articles by consensus, based on relevance to clinicians who provide preoperative evaluations and postoperative care to surgical patients.

We have divided this review into four sections:

  • Preoperative cardiac risk assessment
  • Medical therapy to reduce postoperative cardiac complications (beta-blockers, statins, and angiotensin II receptor blockers [ARBs])
  • Perioperative management of patients with a coronary stent on antiplatelet therapy
  • Perioperative bridging anticoagulation.

PREOPERATIVE ASSESSMENT OF CARDIAC RISK

Functionally independent patients do better

Visnjevac O, Davari-Farid S, Lee J, et al. The effect of adding functional classification to ASA status for predicting 30-day mortality. Anesth Analg 2015; 121:110–116.

Functional capacity is an independent predictor of perioperative death and is included in the algorithm of the current joint American College of Cardiology/American Heart Association (ACC/AHA) guidelines,1 but it is not in the Revised Cardiac Risk Index2 or the American Society of Anesthesiologists (ASA) classification.3

The study. Visnjevac et al4 performed a retrospective, observational cohort study of 12,324 patients who underwent noncardiac surgery, stratifying rates of all-cause mortality and 30-day postoperative complications based on ASA class and functional capacity.

The ASA physical status classification is defined as:

  • 1—Normal healthy patient
  • 2—Patient with mild systemic disease
  • 3—Patient with severe systemic disease
  • 4—Patient with severe systemic disease that is a constant threat to life
  • 5—Moribund patient not expected to survive without surgery.

Functional capacity was defined as the ability to perform all activities of daily living. It was prospectively assessed during the patient interview by pre-anesthesia personnel and entered into the database of the Veterans Affairs Surgical Quality Improvement Program.

Results. Within each ASA class, the mortality rate was significantly lower for functionally independent patients than for partially or fully dependent patients:

  • In class 2—odds ratio (OR) 0.14 for functionally independent patients
  • In class 3—OR 0.29 for functionally independent patients
  • In class 4—OR 0.5 for functionally independent patients.

The mortality rate was higher for dependent patients than for independent patients who were one ASA class higher, despite the higher class having greater rates of comorbidity.

Adding functional capacity to the ASA classification improved the area under the receiver operating curve from 0.811 to 0.848 (a perfect test would have a value of 1.0), suggesting that physicians should incorporate functional capacity into their preoperative evaluation, perhaps by increasing a patient’s ASA class to the next higher class if he or she is functionally dependent.

Angina portends poor outcomes

Pandey A, Sood A, Sammon JD, et al. Effect of preoperative angina pectoris on cardiac outcomes in patients with previous myocardial infarction undergoing major noncardiac surgery (data from ACS-NSQIP). Am J Cardiol 2015; 115:1080–1084.

Coronary artery disease is a risk factor for adverse perioperative outcomes, but the risk varies depending on whether the patient has had a myocardial infarction (and how long ago) and whether he or she has anginal symptoms (and how severe they are).

The study. Pandey et al5 used data from the American College of Surgeons National Surgical Quality Improvement Program to evaluate the impact of stable angina in 1,568 patients who underwent noncardiac surgery after a myocardial infarction.

Results. Postoperative myocardial infarction or cardiac arrest occurred in 5.5% of patients. The incidence was significantly greater in those who had anginal symptoms before surgery than in those without symptoms (8.4% vs 5%, P = .035); reintervention rates and length of stay were also higher in this group. In multivariate analysis, preoperative angina remained a significant predictor of postoperative myocardial infarction (OR 2.49, 95% confidence interval [CI] 1.20–5.81) and re­intervention (OR 2.4, 95% CI 1.44–3.82.

The authors cautioned against relying on predictive tools such as the Revised Cardiac Risk Index that do not consider stable angina and previous myocardial infarction as separate independent risk factors.

Implications for clinical practice. While functional capacity is an integral part of the ACC/AHA guideline algorithm,1 the findings of these two studies suggest that other current tools to calculate perioperative risk (ASA class and Revised Cardiac Risk Index) could be improved by including functional capacity and stable angina.

PERIOPERATIVE MEDICAL THERAPY

Beta-blockers help only those at high risk and may harm others

Friedell ML, Van Way CW 3rd, Freyberg RW, Almenoff PL. ß-blockade and operative mortality in noncardiac surgery: harmful or helpful? JAMA Surg 2015; 150:658–663.

Beta-blockers have been used perioperatively for nearly 2 decades to try to reduce rates of postoperative major adverse cardiovascular events. However, in view of recent trials, fewer patients are likely to benefit from this intervention than has been thought.

The study. Friedell et al6 retrospectively analyzed data from 343,645 patients in Veterans Affairs hospitals to determine the effect of beta-blockers on major adverse cardiac event rates after major noncardiac surgery. Beta-blockers were considered to have been used perioperatively if given any time between 8 hours before and 24 hours after surgery. The outcome studied was the mortality rate at 30 days.

The authors derived a novel risk score and used multivariate analysis to attempt to adjust for confounding factors. The risk score was based on four risk factors identified a priori:

  • Serum creatinine level > 2.0 mg/dL
  • Coronary artery disease
  • Diabetes
  • Surgery in a major body cavity (abdomen or chest).

Results. In this cohort, 43.2% of patients had received a beta-blocker. The unadjusted mortality rates by risk category for patients receiving or not receiving a beta-blocker were:

  • No risk factors: 1.0% with a beta-blocker vs 0.6% without
  • One or two risk factors: 1.7% vs 1.5%
  • Three or four risk factors: 2.3% vs 4.5%.

After adjustment for confounding factors, the 30-day mortality rate was higher in low-risk patients and lower in high-risk patients who received beta-blockers. Odds ratios for death in beta-blocker users (entire cohort) by risk category were:

  • No risk factors: 1.19
  • One or two risk factors 0.97
  • Three or four risk factors 0.76.

In the 3.8% of the total cohort who underwent cardiac surgery, beta-blockers had no significant effect—beneficial or harmful—in any risk group.

Jørgensen ME, Hlatky MA, Køber L, et al. ß-blocker-associated risks in patients with uncomplicated hypertension undergoing noncardiac surgery. JAMA Intern Med 2015; 175:1923–1931.

The study. Jørgensen et al7 investigated the association between chronic beta-blocker use for the treatment of hypertension and 30-day rates of mortality and major adverse cardiac events. Eligible patients (N = 55,320) were at least 20 years old and were undergoing any type of noncardiac surgery. The authors established that hypertension was present through use of an algorithm based on the International Classification of Diseases (10th edition). Patients with existing cardiovascular disease and renal disease were excluded. The authors used multivariate analysis to adjust for confounding factors.

Results. Twenty-six percent of the patients were on chronic beta-blocker therapy for hypertension. The mortality rate at 30 days was 1.93% in patients treated with a beta-blocker alone or in combination with other antihypertensive drugs; the rate was 1.32% for patients receiving any combination of renin-angiotensin system inhibitor, calcium antagonist, or thiazide, but no beta-blocker. Similarly, the 30-day major adverse cardiac event rates were 1.32% with beta-blockers and 0.84% without beta-blockers.

In subgroup analysis, each medication combination that included a beta-blocker was associated with higher rates of death and major adverse cardiac events than the same combination without a beta-blocker. Odds ratios for major adverse cardiac events with beta-blocker combinations ranged from 1.22 to 2.16 compared with regimens with no beta-blocker.

Implications for clinical practice. These two studies added to a growing chorus of concerns about the value and safety of beta-blockers in surgical patients. Friedell et al6 made an observation that was remarkably similar to one reported by Lindenauer et al8 in 2005: when patients were stratified by baseline risk of death, only those with the highest baseline risk benefited from beta-blocker therapy. Those in the lowest risk group actually were harmed by beta-blocker use, ie, the mortality rate was higher.

More interesting is the novel observation by Jørgensen et al7 that even in patients with no known cardiovascular disease who are on chronic beta-blocker therapy—presumably on stable doses and not solely for perioperative risk reduction—rates of mortality and major adverse cardiac events were higher than for patients not on chronic beta-blocker therapy.

The current studies support a cautious, selective approach to the perioperative use of beta-blockers—they should be used only in high-risk patients undergoing high-risk surgery, as has been proposed by the ACC/AHA.1

 

 

Statins protect

Antoniou GA, Hajibandeh S, Hajibandeh S, Vallabhaneni SR, Brennan JA, Torella F. Meta-analysis of the effects of statins on perioperative outcomes in vascular and endovascular surgery. J Vasc Surg 2015; 61:519–532.

The study9 was a comprehensive meta-analysis of randomized controlled trials and observational studies of the effects of HMG-CoA reductase inhibitors (statins) on perioperative outcomes in patients undergoing vascular surgery (but not for intracranial or coronary artery disease). Twenty-four studies were included, 4 randomized controlled trials and 20 observational studies (including 16 cohort and 4 case-controlled studies), with a total of 22,536 patients, 8,052 receiving statins and 15,484 not receiving statins.

Results. Although there was no significant difference in cardiovascular mortality rates, patients receiving statins had significantly lower rates of all-cause mortality, myocardial infarction, stroke, and a composite of myocardial infarction, stroke, and death at 30 days postoperatively than patients not receiving statins. Additionally, there was no difference in the incidence of kidney injury between groups. The possibility of publication bias was thought to be low for all of these outcomes.

Berwanger O, Le Manach Y, Suzumura EA, et al. Association between pre-operative statin use and major cardiovascular complications among patients undergoing non-cardiac surgery: the VISION study. Eur Heart J 2016; 37:177–185.

The study. The Vascular Events in Non-cardiac Surgery Patients Cohort Evaluation (VISION) study10,11 was an international prospective cohort study of more than 40,000 patients age 45 and older undergoing major noncardiac surgery with either general or regional anesthesia. Postoperative troponin measurements were obtained in all patients 6 to 12 hours after surgery and for the first 3 postoperative days. The authors evaluated the effect of preoperative statin use on cardiovascular outcomes at 30 days after surgery using a multivariate logistic model and propensity score analysis to correct for confounding factors. Statin use was defined as exposure within 7 days before surgery or 3 days after.

Results. In the 15,478 patients included in the analysis, statin use conferred a significant reduction in the primary outcome (composite of all-cause mortality, myocardial injury after noncardiac surgery, or stroke); the absolute risk reduction was 2.0%. Statin users also had a significantly lower risk of all-cause mortality, cardiovascular mortality, and myocardial injury after noncardiac surgery, but not of postoperative myocardial infarction or stroke. This analysis did not address the type of statin, dosing, or safety markers such as liver and muscle function.

Implications for clinical practice. With largely observational data and a few small randomized trials, these meta-analyses provide important information with respect to perioperative cardiovascular protection by statins. Starting a statin before surgery and continuing it perioperatively seems appropriate in patients at high risk (as recommended by the ACC/AHA guidelines1). Based on other data, the benefit may be evident in as little as 5 days, as this is when statins appear to reach their plateau with regard to their vascular pleiotropic effects.12 The incidence of adverse effects of statins, including muscle and liver injury, appears to be low in the perioperative setting.13

Given the inconsistent data regarding perioperative beta-blocker therapy, statins may very well be the most important perioperative medication with respect to cardiovascular risk reduction. However, a large randomized trial would help to confirm this belief.

Restart angiotensin II receptor blockers soon after surgery

Lee SM, Takemoto S, Wallace AW. Association between withholding angiotensin receptor blockers in the early postoperative period and 30-day mortality: a cohort study of the Veterans Affairs Healthcare System. Anesthesiology 2015; 123:288–306.

A concern about perioperative use of ARBs is that they impair the renin-angiotensin-aldosterone system, which maintains blood pressure under general anesthesia. ARB-induced intraoperative hypotension is particularly difficult to control, as it is often refractory to treatment with conventional adrenergic vasopressors.

The study. Lee et al14 conducted a retrospective cohort trial to evaluate the effects of continuing to withhold ARBs postoperatively. Of the 30,173 patients admitted for surgery in the Veterans Affairs system from 1999 through 2011 who were taking an ARB before surgery and who met the inclusion criteria, 10,205 (33.8%) were not restarted on their medication by postoperative day 2.

Results. The mortality rate at 30 days was higher in those whose ARBs were withheld than in those in whom it was resumed, with a multivariable-adjusted hazard ratio of 1.74 (95% CI 1.47–2.06; P < .001). The risk of withholding ARBs was more pronounced in younger patients (hazard ratio 2.52; 95% CI 1.69–3.76 in those under age 60) than in older patients (hazard ratio 1.42, 95% CI 1.09–1.85 in those over age 75).

Implications for clinical practice. While not addressing whether to continue or withhold ARBs preoperatively, this retrospective study presented evidence that delay in resuming chronic ARB therapy after surgery was common and appeared to be associated with a higher 30-day mortality rate. The ACC/AHA guidelines1 state:

cohn_perioperativecardiacmedicine_t1.gif

  • Continuing angiotensin-converting enzyme (ACE) inhibitors or ARBs perioperatively is reasonable (class IIa recommendation, level of evidence B) (Table 1).
  • If an ACE inhibitor or ARB is withheld before surgery, it is reasonable to restart it postoperatively as soon as clinically feasible (class IIa recommendation, level of evidence C).

Close attention to medication reconciliation in the postoperative period is necessary to facilitate early resumption of ARBs.

CORONARY STENTS AND ANTIPLATELET THERAPY IN NONCARDIAC SURGERY PATIENTS

Considerations in the management of noncardiac surgery patients with stents include risks of stent thrombosis, bleeding, and potentially delaying procedures to continue uninterrupted dual antiplatelet therapy. Evidence is evolving regarding the risks of perioperative complications in patients with bare-metal stents and drug-eluting stents, as well as the optimal timing before noncardiac surgery.

Bare-metal vs drug-eluting stents

Bangalore S, Silbaugh TS, Normand SL, Lovett AF, Welt FG, Resnic FS. Drug-eluting stents versus bare metal stents prior to noncardiac surgery. Catheter Cardiovasc Interv 2015; 85:533–541.

The study. Bangalore et al15 compared the safety of drug-eluting vs bare-metal stents in noncardiac surgery patients and investigated adverse events stratified by time since stent placement. This was a retrospective observational study of 8,415 patients in the Massachusetts claims database who underwent noncardiac surgery 1 year or less after percutaneous coronary intervention.

Results. There was no significant difference in the incidence of the primary outcome (composite of death, myocardial infarction, and bleeding) between the two groups.

With drug-eluting stents, patients had lower 30-day postoperative mortality rates, and their rate of the primary outcome decreased with time from percutaneous coronary intervention to surgery, being lowest beyond 90 days:

  • 8.6% in days 1–30
  • 7.5% in days 31–90
  • 5.2% in days 91–180
  • 5.8% in days 181–365 (P = .02).

With bare-metal stents, the event rate remained high over time:

  • 8.2% in days 1–30
  • 6.6% in days 31–90
  • 8.1% in days 91–180
  • 8.8% in days 181–365 (P = .60).

This study did not report information about perioperative antiplatelet management and was limited to first-generation drug-eluting stents. 

Saia F, Belotti LM, Guastaroba P, et al. Risk of adverse cardiac and bleeding events following cardiac and noncardiac surgery in patients with coronary stents: how important is the interplay between stent type and time from stenting to surgery? Circ Cardiovasc Qual Outcomes 2015; 9:39–47.

The study. Saia et al16 retrospectively examined predictors of periprocedural ischemic and bleeding events among cardiac and noncardiac surgical patients who had previously undergone percutaneous coronary intervention. They also assessed the risks associated with stent type and time from percutaneous coronary intervention to surgery.

Of 39,362 patients, 13,128 underwent procedures during the 5-year study period. The cumulative incidence of surgery was 3.6% at 30 days, 14% at 1 year, and 40% at 5 years after percutaneous coronary intervention. Almost 30% of the procedures were done urgently.

Results. The 30-day rate of postoperative cardiac death was 2.5%, nonfatal myocardial infarction 1.5%, and serious bleeding events 6.5%. Older drug-eluting stents were associated with higher risks of adverse events than newer drug-eluting stents at any time point (odds ratio 2.1 at 0–180 days, 1.9 at 6–12 months, and 1.45 after 12 months). Surgery performed 6 to 12 months after percutaneous coronary intervention had lower rates of adverse outcomes than surgery performed within 6 months. Beyond 6 months from percutaneous coronary intervention, bare-metal stents and newer drug-eluting stents did not have significantly different adverse event rates; however, newer drug-eluting stents appeared safer than bare-metal stents from 0 to 180 days.

Limitations of this study included lack of information regarding periprocedural antiplatelet management and a relatively small subset of newer drug-eluting stent patients.

Implications for clinical practice. These studies added to earlier work that demonstrated that the risk of perioperative adverse events differs by both the stent type and the time from percutaneous coronary intervention to noncardiac surgery. In patients with a drug-eluting stent, the risk levels off 90 days after percutaneous coronary intervention, suggesting that the previously recommended 12 months of uninterrupted dual antiplatelet therapy (per the 2014 ACC/AHA guidelines1) may not be needed, particularly with newer-generation drug-eluting stents. Based on new evidence, the ACC/AHA guidelines regarding perioperative management of dual antiplatelet therapy in noncardiac surgery patients were updated,17 as noted below.

An update to the ACC/AHA guidelines on dual antiplatelet therapy

Levine GN, Bates ER, Bittl JA, et al. 2016 ACC/AHA guideline focused update on duration of dual antiplatelet therapy in patients with coronary artery disease. Circulation 2016 Mar 29. DOI: 10.1161/CIR.0000000000000404. [Epub ahead of print]

The 2016 update17 provides the following recommendations for patients with coronary stents who undergo noncardiac surgery:

  • Delay elective surgery for 30 days after placement of a bare-metal stent (class I recommendation, level of evidence B).
  • It is optimal to delay elective surgery 6 months after drug-eluting stent placement (class I recommendation, level of evidence B).
  • If dual antiplatelet therapy must be discontinued, then continue aspirin if possible and restart the P2Y12 inhibitor as soon as possible postoperatively (class I recommendation, level of evidence C ).
  • A consensus decision among treating clinicians is useful regarding the risks of surgery and discontinuation or continuation of antiplatelet therapy (class IIa recommendation, level of evidence C).
  • If dual antiplatelet therapy must be discontinued, then elective surgery should not be performed less than 30 days after bare-metal stent placement, or less than 3 months after drug-eluting stent placement (class III recommendation, level of evidence B).
  • Elective surgery after drug-eluting stent placement when the P2Y12 inhibitor must be discontinued may be considered 3 months after drug-eluting stent placement if the risk of surgical delay is greater than the risk of stent thrombosis (class IIb recommendation, level of evidence C).

The basic differences are the new recommendations for a minimum of 6 months of dual antiplatelet therapy as opposed to 12 months after drug-eluting stent placement before elective noncardiac surgery, and to allow surgery after 3 months (as opposed to 6 months) if the risk of delaying surgery outweighs the risk of stent thrombosis or myocardial infarction.

PERIOPERATIVE ANTICOAGULATION

The optimal perioperative management of patients with atrial fibrillation who are on warfarin is uncertain. The American College of Chest Physicians guidelines18 categorized patients with atrial fibrillation into low, moderate, and high thromboembolic risk. Based primarily on observational data, these guidelines recommended perioperative bridging anticoagulation for those at high risk but not for those at low risk. For intermediate-risk patients, there were insufficient data to make any recommendation.

Bridging may not benefit those at intermediate risk

Douketis JD, Spyropoulos AC, Kaatz S, et al; BRIDGE Investigators. Perioperative bridging anticoagulation in patients with atrial fibrillation. N Engl J Med 2015; 373:823–833.

The study. The Bridging Anticoagulation in Patients Who Require Temporary Interruption of Warfarin Therapy for an Elective Invasive Procedure or Surgery (BRIDGE) trial19 was the first randomized controlled trial to examine the effects of perioperative bridging anticoagulation in patients with atrial fibrillation without mechanical heart valves.

Results. In 1,884 patients undergoing elective surgery, the incidence of arterial thromboembolism was 0.4% in the no-bridging group and 0.3% in the bridging group (95% CI −0.6 to 0.8; P = .01 for noninferiority). Major bleeding occurred in 1.3% of patients in the no-bridging group and 3.2% in the bridging group (95% CI 0.20–0.78; P = .005 for superiority).

These results suggest that the risks of bridging therapy are greater than the benefits. Of note, the mean CHADS2 score (1 point each for congestive heart failure, hypertension, age ≥ 75 years, and diabetes mellitus; 2 points for previous stroke or transient ischemic attack; a total score > 2 indicates significant risk of stroke) for patients enrolled in this trial was 2.3, and it may be difficult to extrapolate these results to the limited number of patients at highest risk, ie, who have a CHADS2 score of 5 or 6. Also, this study did not address patients with arterial or venous thromboembolism.

Implications for clinical practice. Despite the limitations noted above, this study does provide guidance for management of the intermediate-risk group with atrial fibrillation as defined by the American College of Chest Physicians: a no-bridging strategy is the best option.

References
  1. Fleisher LA, Fleischmann KE, Auerbach AD, et al. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 2014; 64:e77–e137.
  2. Lee TH, Marcantonio ER, Mangione CM, et al. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation 1999; 100:1043–1049.
  3. Dripps RD, Lamont A, Eckenhoff JE. The role of anesthesia in surgical mortality. JAMA 1961; 178:261–266.
  4. Visnjevac O, Davari-Farid S, Lee J, et al. The effect of adding functional classification to ASA status for predicting 30-day mortality. Anesth Analg 2015; 121:110–116.
  5. Pandey A, Sood A, Sammon JD, et al. Effect of preoperative angina pectoris on cardiac outcomes in patients with previous myocardial infarction undergoing major noncardiac surgery (data from ACS-NSQIP). Am J Cardiol 2015; 115:1080–1084.
  6. Friedell ML, Van Way CW 3rd, Freyberg RW, Almenoff PL. ß-blockade and operative mortality in noncardiac surgery: harmful or helpful? JAMA Surg 2015; 150:658–663.
  7. Jørgensen ME, Hlatky MA, Køber L, et al. ß-blocker-associated risks in patients with uncomplicated hypertension undergoing noncardiac surgery. JAMA Intern Med 2015; 175:1923–1931.
  8. Lindenauer PK, Pekow P, Wang K, Mamidi DK, Gutierrez B, Benjamin EM. Perioperative beta-blocker therapy and mortality after major noncardiac surgery. N Engl J Med 2005; 353:349–361.
  9. Antoniou GA, Hajibandeh S, Hajibandeh S, Vallabhaneni SR, Brennan JA, Torella F. Meta-analysis of the effects of statins on perioperative outcomes in vascular and endovascular surgery. J Vasc Surg 2015; 61:519–532.
  10. Vascular Events In Noncardiac Surgery Patients Cohort Evaluation Study I; Devereaux PJ, Chan MT, Alonso-Coello P, et al. Association between postoperative troponin levels and 30-day mortality among patients undergoing noncardiac surgery. JAMA 2012; 307:2295–2304.
  11. Berwanger O, Le Manach Y, Suzumura EA, et al. Association between pre-operative statin use and major cardiovascular complications among patients undergoing non-cardiac surgery: the VISION study. Eur Heart J 2016; 37:177–185.
  12. Laufs U, Wassmann S, Hilgers S, Ribaudo N, Bohm M, Nickenig G. Rapid effects on vascular function after initiation and withdrawal of atorvastatin in healthy, normocholesterolemic men. Am J Cardiol 2001; 88:1306–1307.
  13. Schouten O, Kertai MD, Bax JJ, et al. Safety of perioperative statin use in high-risk patients undergoing major vascular surgery. Am J Cardiol 2005; 95:658–660.
  14. Lee SM, Takemoto S, Wallace AW. Association between withholding angiotensin receptor blockers in the early postoperative period and 30-day mortality: a cohort study of the Veterans Affairs Healthcare System. Anesthesiology 2015; 123:288–306.
  15. Bangalore S, Silbaugh TS, Normand SL, Lovett AF, Welt FG, Resnic FS. Drug-eluting stents versus bare metal stents prior to noncardiac surgery. Catheter Cardiovasc Interv 2015; 85:533–541.
  16. Saia F, Belotti LM, Guastaroba P, et al. Risk of adverse cardiac and bleeding events following cardiac and noncardiac surgery in patients with coronary stents: how important is the interplay between stent type and time from stenting to surgery? Circ Cardiovasc Qual Outcomes 2015; 9:39–47.
  17. Levine GN, Bates ER, Bittl JA, et al. 2016 ACC/AHA guideline focused update on duration of dual antiplatelet therapy in patients with coronary artery disease. Circulation 2016 Mar 29 DOI: 10.1161/CIR.0000000000000404. [Epub ahead of print]. Accessed August 16, 2016.
  18. Douketis JD, Spyropoulos AC, Spencer FA, et al; American College of Chest Physicians. Perioperative management of antithrombotic therapy: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines. Chest 2012; 141(suppl 2):e326S–e350S. Erratum in Chest 2012; 141:1129.
  19. Douketis JD, Spyropoulos AC, Kaatz S, et al; BRIDGE Investigators. Perioperative bridging anticoagulation in patients with atrial fibrillation. N Engl J Med 2015; 373:823–833.
References
  1. Fleisher LA, Fleischmann KE, Auerbach AD, et al. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 2014; 64:e77–e137.
  2. Lee TH, Marcantonio ER, Mangione CM, et al. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation 1999; 100:1043–1049.
  3. Dripps RD, Lamont A, Eckenhoff JE. The role of anesthesia in surgical mortality. JAMA 1961; 178:261–266.
  4. Visnjevac O, Davari-Farid S, Lee J, et al. The effect of adding functional classification to ASA status for predicting 30-day mortality. Anesth Analg 2015; 121:110–116.
  5. Pandey A, Sood A, Sammon JD, et al. Effect of preoperative angina pectoris on cardiac outcomes in patients with previous myocardial infarction undergoing major noncardiac surgery (data from ACS-NSQIP). Am J Cardiol 2015; 115:1080–1084.
  6. Friedell ML, Van Way CW 3rd, Freyberg RW, Almenoff PL. ß-blockade and operative mortality in noncardiac surgery: harmful or helpful? JAMA Surg 2015; 150:658–663.
  7. Jørgensen ME, Hlatky MA, Køber L, et al. ß-blocker-associated risks in patients with uncomplicated hypertension undergoing noncardiac surgery. JAMA Intern Med 2015; 175:1923–1931.
  8. Lindenauer PK, Pekow P, Wang K, Mamidi DK, Gutierrez B, Benjamin EM. Perioperative beta-blocker therapy and mortality after major noncardiac surgery. N Engl J Med 2005; 353:349–361.
  9. Antoniou GA, Hajibandeh S, Hajibandeh S, Vallabhaneni SR, Brennan JA, Torella F. Meta-analysis of the effects of statins on perioperative outcomes in vascular and endovascular surgery. J Vasc Surg 2015; 61:519–532.
  10. Vascular Events In Noncardiac Surgery Patients Cohort Evaluation Study I; Devereaux PJ, Chan MT, Alonso-Coello P, et al. Association between postoperative troponin levels and 30-day mortality among patients undergoing noncardiac surgery. JAMA 2012; 307:2295–2304.
  11. Berwanger O, Le Manach Y, Suzumura EA, et al. Association between pre-operative statin use and major cardiovascular complications among patients undergoing non-cardiac surgery: the VISION study. Eur Heart J 2016; 37:177–185.
  12. Laufs U, Wassmann S, Hilgers S, Ribaudo N, Bohm M, Nickenig G. Rapid effects on vascular function after initiation and withdrawal of atorvastatin in healthy, normocholesterolemic men. Am J Cardiol 2001; 88:1306–1307.
  13. Schouten O, Kertai MD, Bax JJ, et al. Safety of perioperative statin use in high-risk patients undergoing major vascular surgery. Am J Cardiol 2005; 95:658–660.
  14. Lee SM, Takemoto S, Wallace AW. Association between withholding angiotensin receptor blockers in the early postoperative period and 30-day mortality: a cohort study of the Veterans Affairs Healthcare System. Anesthesiology 2015; 123:288–306.
  15. Bangalore S, Silbaugh TS, Normand SL, Lovett AF, Welt FG, Resnic FS. Drug-eluting stents versus bare metal stents prior to noncardiac surgery. Catheter Cardiovasc Interv 2015; 85:533–541.
  16. Saia F, Belotti LM, Guastaroba P, et al. Risk of adverse cardiac and bleeding events following cardiac and noncardiac surgery in patients with coronary stents: how important is the interplay between stent type and time from stenting to surgery? Circ Cardiovasc Qual Outcomes 2015; 9:39–47.
  17. Levine GN, Bates ER, Bittl JA, et al. 2016 ACC/AHA guideline focused update on duration of dual antiplatelet therapy in patients with coronary artery disease. Circulation 2016 Mar 29 DOI: 10.1161/CIR.0000000000000404. [Epub ahead of print]. Accessed August 16, 2016.
  18. Douketis JD, Spyropoulos AC, Spencer FA, et al; American College of Chest Physicians. Perioperative management of antithrombotic therapy: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines. Chest 2012; 141(suppl 2):e326S–e350S. Erratum in Chest 2012; 141:1129.
  19. Douketis JD, Spyropoulos AC, Kaatz S, et al; BRIDGE Investigators. Perioperative bridging anticoagulation in patients with atrial fibrillation. N Engl J Med 2015; 373:823–833.
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Cleveland Clinic Journal of Medicine - 83(10)
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Cleveland Clinic Journal of Medicine - 83(10)
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Update in perioperative cardiac medicine
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Update in perioperative cardiac medicine
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perioperative medicine, preoperative assessment, beta-blockers, statins, angiotensin II receptor blockers, ARBs, stents, dual antiplatelet therapy, DAPT, anticoagulation, bridging anticoagulation, Steven Cohn, Suparna Dutta, Barbara Slawski, Paul Grant, Gerald Smetana
Legacy Keywords
perioperative medicine, preoperative assessment, beta-blockers, statins, angiotensin II receptor blockers, ARBs, stents, dual antiplatelet therapy, DAPT, anticoagulation, bridging anticoagulation, Steven Cohn, Suparna Dutta, Barbara Slawski, Paul Grant, Gerald Smetana
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KEY POINTS

  • Outcomes are worse in patients with poor functional capacity or stable angina, and these factors should be considered in preoperative risk assessment.
  • Perioperative use of beta-blockers may benefit only patients at highest risk and may harm other patients.
  • Statins seem to provide perioperative protection.
  • If an ARB is withheld for surgery, it should be restarted soon after.
  • For patients with a coronary stent, the type of stent and duration of dual antiplatelet therapy need to be considered before noncardiac surgery.
  • Bridging anticoagulant therapy should not be used in patients at intermediate or low risk of thromboembolism.
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MACRA Provides New Direction for U.S. Healthcare

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MACRA Provides New Direction for U.S. Healthcare

Last year, Congress passed legislation to permanently eliminate the Sustainable Growth Rate (SGR) formula, created in 1997 and designed to hold Medicare Part B or outpatient spending under control. Allowing the SGR to go into effect would have severely cut physician reimbursements in recent years, but Congress passed legislation each year to temporarily avert these cuts (also known annually as the “doc fix”). In search of a permanent solution, the passage of bipartisan legislation permanently repealing the SGR in 2015 was hailed as a way to ensure more certainty around the future of Medicare payments for physicians.

This legislation (H.R. 2, 114th Congress), sponsored by Rep. Michael C. Burgess (R-Texas) and entitled “Medicare Access and CHIP Reauthorization Act of 2015,” or MACRA, does much more than simply remove the SGR’s threat of broader Medicare payment cuts. The law changes the ways physicians are reimbursed by Medicare and continues to shift our healthcare system away from volume-based reimbursements and toward a value-based payment system.

What Is MIPS?

MACRA creates two value-based payment tracks for physicians. The first, the Merit-Based Incentive Payment System (MIPS), is closer to the old fee-for-service model of reimbursement. However, MIPS takes into account both volume and quality (i.e., payment is adjusted based on physician-quality scores). These physician-specific scores broaden the scope of quality measurement by including new measures related to resource utilization, electronic health record (EHR) use, and clinical improvement practices, along with the traditional clinical quality markers.

Under MIPS, the current Physician Quality Reporting System (PQRS), EHR Incentive Program, and Physician Value-Based Modifier all will be integrated into this single-payment adjustment.

The range of potential payment adjustments based on a physician’s MIPS score grows each year through 2022 (in 2022, adjustments can range from +9% to -9%). The program is budget neutral, which means that increases in payments to high-scoring providers will be offset by decreases in payments to low-scoring providers. For 2019 to 2024, there also will be an additional payment adjustment given to the highest MIPS performers for exceptional performance.

A benefit of MIPS is that it will streamline the various quality-reporting programs currently in place into one single program and does not ask physicians to assume any additional financial risk related to outcomes when taking care of patients. However, the particulars of how the MIPS score will be calculated are yet to be determined, and much of the utility and palatability of this score will depend on the chosen metrics. The goal of these metrics should be that they are meaningful, valid, and attributable to specific providers.

What Are APMs?

The other payment option MACRA provides for physicians allows them to opt out of MIPS and participate in the Alternative Payment Models (APMs) track. To incentivize physicians to take part in this riskier track, providers taking part in APMs will receive some extra money for their participation: a 5% annual lump sum bonus on reimbursement payments. To clarify, qualifying APMs are those where providers take on “more than nominal” financial risk, report on their quality measures, and use certified EHR technology.

To qualify as a participant in an APM (for example, the Medicare Shared Savings Program), providers must hit a threshold for percentage of total revenue received or percentage of patients from qualifying APMs. This threshold will increase over time. For example, from 2019 to 2020, providers must obtain at least 25% of their Medicare revenue or patients via APMs, whereas in 2023, 75% of their Medicare revenue or \ patients will need to come from APMs.

Providers will benefit from the increased reimbursement offered if they participate in APMs. There also is funding allocated in MACRA to help develop quality measures, with a call for physician leads to develop quality standards. This payment model, however, does come with increased financial risk for the provider contingent on patient outcomes. In addition, it may be difficult for all providers to hit the thresholds for participation.

 

 

Stick with MIPS? Or Take the Plunge with APM?

How MACRA affects you will depend a lot on the practice environment. As described above, MACRA is designed to move physicians into risk-based payment structures if possible. If possible, or otherwise, to simplify the current fee-for-service mechanism of payment by consolidating various Medicare pay-for-performance programs.

Let’s look at a few scenarios:

Hospitalist A works for a physician group that assumes risk for patients in a MACRA-approved APM and sees only those inpatients as opposed to unassigned patients. Therefore, almost all of hospitalist A’s patients are covered by risk-based contracts, and hospitalist A might be well positioned for the new APM structure.

Hospitalist B works for a group, or a university, and sees whatever patients are admitted to the hospital. Hospitalist B’s eligibility to participate in the APM will depend on the percentage of patients in alternative payment models in their market. If hospitalist B’s market has many Medicare accountable care organizations, and Medicaid and the commercial insurers compensate through a risk-sharing model, hospitalist B might reach the threshold. This is more accidental than planned, however, and hospitalist B might not be able to consistently hit this threshold year after year.

In addition, just working within the model will probably not be enough to qualify. Hospitalist B will need to also take on “more than nominal risk” as a participant in the model. In an employed academic setting, where the hospital is taking on risk as part of an APM, it is unlikely hospitalist B will qualify just by virtue of hospital employment. Hospitalist B must also meet/exceed the patient or payment thresholds under the model.

Bottom line: Given the current situation, we expect many hospitalists will likely be required to participate in MIPS and not qualify for APMs. Understanding the details and expectations now will help them be successful in the future.

Is MACRA Good for Hospitalists?

Most of organized medicine is happy to be free from the annual threat of reimbursement cuts. In addition, the new law might streamline quality reporting. But the specific upside depends on your perspective.

With APMs, a hospitalist might enjoy more upside potential, particularly for high-quality work and EHR use. However, whether it is realistic for most hospitalists to even participate in the model depends on many factors, as described previously, and SHM is advocating for the law to be implemented in ways that will more readily accommodate hospitalist practice and employment structures.

For example, the SHM Public Policy Committee has provided the Centers for Medicare & Medicaid Services (CMS) with realistic options for implementing the APM framework that would allow hospitalist B in the above example to qualify as an APM participant.

With MIPS, the benefit to hospitalists depends a fair amount on the way the law is implemented: how quality reporting happens, what metrics will count as quality improvement efforts, and how utilization of EHRs is measured.

What Issues Should Hospitalists Be Aware Of?

As MACRA is further developed, the main issue for hospitalists will be to ensure fairness in assessing quality and incentive payments. As previously encountered with quality reporting, hospitalists are not differentiated clearly from outpatient providers. As a result, they could suffer from the comparison of their quality outcomes for their sicker hospitalized patients to the patients cared for in a typical primary-care internal medicine practice. This inaccurate comparison poses problems in both models.

A potential solution would be a hospitalist-specific billing code, which would make it easier to identify hospitalists. SHM applied for and advocated for the approval of such a billing code and the request was recently approved by CMS.

 

 

In addition, as hospitalists mostly work in groups with shift-based schedules, thus sharing care of patients, individual identifiers may not be as significant as possibly looking at hospital, system, or team-based metrics. Using facility performance measures for both clinical quality and performance improvement—where hospitalists can opt to align with their hospital, which is already reporting quality outcomes—might be one way out of this conundrum. It would take into account the type of facility-level quality improvement work many hospitalists participate in. This also would decrease reporting burden for hospitalist groups.

SHM has advocated for this solution and was able to ensure this concept was included in the law; however, it is unclear when or how CMS will implement it.

To summarize, looking good in quality reporting will continue to be a challenge for hospitalists. It will be critical to keep pressure on CMS to implement solutions that account for the unique situation of our specialty.

Another issue to be aware of is the ability of hospitalists to participate in APMs. As with other facility-based providers, hospitalists have little control over whether their facility participates in an APM. Ways to ensure hospitalists can reach thresholds for participation could include allowing the various APMs that hospitalist patients are aligned with count toward an individual hospitalists’ APM participation total—a solution that SHM is advocating for Medicare to include in the APM framework.

What’s Next?

Much remains to be solidified regarding implementation of MACRA, despite the fact it goes live in a few short years (see Figure 1). CMS has asked for comments and stakeholder input regarding MIPS and APMs, and it will be releasing the first round of rules around MACRA this year.

SHM is actively working with CMS to ensure this legislation will reflect the work we are doing as hospitalists to provide high-quality clinical care for our patients and enhance the performance of our hospitals and health system. TH

timelineweb.gif
Source: CMS.org


Dr. Doctoroff is a hospitalist at Beth Israel Deaconess Medical Center and an instructor of medicine at Harvard Medical School in Boston. Dr. Dutta is a hospitalist at Rush University Medical Center and an assistant professor of medicine at Rush Medical College in Chicago. Both are members of the SHM Public Policy Committee.

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Last year, Congress passed legislation to permanently eliminate the Sustainable Growth Rate (SGR) formula, created in 1997 and designed to hold Medicare Part B or outpatient spending under control. Allowing the SGR to go into effect would have severely cut physician reimbursements in recent years, but Congress passed legislation each year to temporarily avert these cuts (also known annually as the “doc fix”). In search of a permanent solution, the passage of bipartisan legislation permanently repealing the SGR in 2015 was hailed as a way to ensure more certainty around the future of Medicare payments for physicians.

This legislation (H.R. 2, 114th Congress), sponsored by Rep. Michael C. Burgess (R-Texas) and entitled “Medicare Access and CHIP Reauthorization Act of 2015,” or MACRA, does much more than simply remove the SGR’s threat of broader Medicare payment cuts. The law changes the ways physicians are reimbursed by Medicare and continues to shift our healthcare system away from volume-based reimbursements and toward a value-based payment system.

What Is MIPS?

MACRA creates two value-based payment tracks for physicians. The first, the Merit-Based Incentive Payment System (MIPS), is closer to the old fee-for-service model of reimbursement. However, MIPS takes into account both volume and quality (i.e., payment is adjusted based on physician-quality scores). These physician-specific scores broaden the scope of quality measurement by including new measures related to resource utilization, electronic health record (EHR) use, and clinical improvement practices, along with the traditional clinical quality markers.

Under MIPS, the current Physician Quality Reporting System (PQRS), EHR Incentive Program, and Physician Value-Based Modifier all will be integrated into this single-payment adjustment.

The range of potential payment adjustments based on a physician’s MIPS score grows each year through 2022 (in 2022, adjustments can range from +9% to -9%). The program is budget neutral, which means that increases in payments to high-scoring providers will be offset by decreases in payments to low-scoring providers. For 2019 to 2024, there also will be an additional payment adjustment given to the highest MIPS performers for exceptional performance.

A benefit of MIPS is that it will streamline the various quality-reporting programs currently in place into one single program and does not ask physicians to assume any additional financial risk related to outcomes when taking care of patients. However, the particulars of how the MIPS score will be calculated are yet to be determined, and much of the utility and palatability of this score will depend on the chosen metrics. The goal of these metrics should be that they are meaningful, valid, and attributable to specific providers.

What Are APMs?

The other payment option MACRA provides for physicians allows them to opt out of MIPS and participate in the Alternative Payment Models (APMs) track. To incentivize physicians to take part in this riskier track, providers taking part in APMs will receive some extra money for their participation: a 5% annual lump sum bonus on reimbursement payments. To clarify, qualifying APMs are those where providers take on “more than nominal” financial risk, report on their quality measures, and use certified EHR technology.

To qualify as a participant in an APM (for example, the Medicare Shared Savings Program), providers must hit a threshold for percentage of total revenue received or percentage of patients from qualifying APMs. This threshold will increase over time. For example, from 2019 to 2020, providers must obtain at least 25% of their Medicare revenue or patients via APMs, whereas in 2023, 75% of their Medicare revenue or \ patients will need to come from APMs.

Providers will benefit from the increased reimbursement offered if they participate in APMs. There also is funding allocated in MACRA to help develop quality measures, with a call for physician leads to develop quality standards. This payment model, however, does come with increased financial risk for the provider contingent on patient outcomes. In addition, it may be difficult for all providers to hit the thresholds for participation.

 

 

Stick with MIPS? Or Take the Plunge with APM?

How MACRA affects you will depend a lot on the practice environment. As described above, MACRA is designed to move physicians into risk-based payment structures if possible. If possible, or otherwise, to simplify the current fee-for-service mechanism of payment by consolidating various Medicare pay-for-performance programs.

Let’s look at a few scenarios:

Hospitalist A works for a physician group that assumes risk for patients in a MACRA-approved APM and sees only those inpatients as opposed to unassigned patients. Therefore, almost all of hospitalist A’s patients are covered by risk-based contracts, and hospitalist A might be well positioned for the new APM structure.

Hospitalist B works for a group, or a university, and sees whatever patients are admitted to the hospital. Hospitalist B’s eligibility to participate in the APM will depend on the percentage of patients in alternative payment models in their market. If hospitalist B’s market has many Medicare accountable care organizations, and Medicaid and the commercial insurers compensate through a risk-sharing model, hospitalist B might reach the threshold. This is more accidental than planned, however, and hospitalist B might not be able to consistently hit this threshold year after year.

In addition, just working within the model will probably not be enough to qualify. Hospitalist B will need to also take on “more than nominal risk” as a participant in the model. In an employed academic setting, where the hospital is taking on risk as part of an APM, it is unlikely hospitalist B will qualify just by virtue of hospital employment. Hospitalist B must also meet/exceed the patient or payment thresholds under the model.

Bottom line: Given the current situation, we expect many hospitalists will likely be required to participate in MIPS and not qualify for APMs. Understanding the details and expectations now will help them be successful in the future.

Is MACRA Good for Hospitalists?

Most of organized medicine is happy to be free from the annual threat of reimbursement cuts. In addition, the new law might streamline quality reporting. But the specific upside depends on your perspective.

With APMs, a hospitalist might enjoy more upside potential, particularly for high-quality work and EHR use. However, whether it is realistic for most hospitalists to even participate in the model depends on many factors, as described previously, and SHM is advocating for the law to be implemented in ways that will more readily accommodate hospitalist practice and employment structures.

For example, the SHM Public Policy Committee has provided the Centers for Medicare & Medicaid Services (CMS) with realistic options for implementing the APM framework that would allow hospitalist B in the above example to qualify as an APM participant.

With MIPS, the benefit to hospitalists depends a fair amount on the way the law is implemented: how quality reporting happens, what metrics will count as quality improvement efforts, and how utilization of EHRs is measured.

What Issues Should Hospitalists Be Aware Of?

As MACRA is further developed, the main issue for hospitalists will be to ensure fairness in assessing quality and incentive payments. As previously encountered with quality reporting, hospitalists are not differentiated clearly from outpatient providers. As a result, they could suffer from the comparison of their quality outcomes for their sicker hospitalized patients to the patients cared for in a typical primary-care internal medicine practice. This inaccurate comparison poses problems in both models.

A potential solution would be a hospitalist-specific billing code, which would make it easier to identify hospitalists. SHM applied for and advocated for the approval of such a billing code and the request was recently approved by CMS.

 

 

In addition, as hospitalists mostly work in groups with shift-based schedules, thus sharing care of patients, individual identifiers may not be as significant as possibly looking at hospital, system, or team-based metrics. Using facility performance measures for both clinical quality and performance improvement—where hospitalists can opt to align with their hospital, which is already reporting quality outcomes—might be one way out of this conundrum. It would take into account the type of facility-level quality improvement work many hospitalists participate in. This also would decrease reporting burden for hospitalist groups.

SHM has advocated for this solution and was able to ensure this concept was included in the law; however, it is unclear when or how CMS will implement it.

To summarize, looking good in quality reporting will continue to be a challenge for hospitalists. It will be critical to keep pressure on CMS to implement solutions that account for the unique situation of our specialty.

Another issue to be aware of is the ability of hospitalists to participate in APMs. As with other facility-based providers, hospitalists have little control over whether their facility participates in an APM. Ways to ensure hospitalists can reach thresholds for participation could include allowing the various APMs that hospitalist patients are aligned with count toward an individual hospitalists’ APM participation total—a solution that SHM is advocating for Medicare to include in the APM framework.

What’s Next?

Much remains to be solidified regarding implementation of MACRA, despite the fact it goes live in a few short years (see Figure 1). CMS has asked for comments and stakeholder input regarding MIPS and APMs, and it will be releasing the first round of rules around MACRA this year.

SHM is actively working with CMS to ensure this legislation will reflect the work we are doing as hospitalists to provide high-quality clinical care for our patients and enhance the performance of our hospitals and health system. TH

timelineweb.gif
Source: CMS.org


Dr. Doctoroff is a hospitalist at Beth Israel Deaconess Medical Center and an instructor of medicine at Harvard Medical School in Boston. Dr. Dutta is a hospitalist at Rush University Medical Center and an assistant professor of medicine at Rush Medical College in Chicago. Both are members of the SHM Public Policy Committee.

Last year, Congress passed legislation to permanently eliminate the Sustainable Growth Rate (SGR) formula, created in 1997 and designed to hold Medicare Part B or outpatient spending under control. Allowing the SGR to go into effect would have severely cut physician reimbursements in recent years, but Congress passed legislation each year to temporarily avert these cuts (also known annually as the “doc fix”). In search of a permanent solution, the passage of bipartisan legislation permanently repealing the SGR in 2015 was hailed as a way to ensure more certainty around the future of Medicare payments for physicians.

This legislation (H.R. 2, 114th Congress), sponsored by Rep. Michael C. Burgess (R-Texas) and entitled “Medicare Access and CHIP Reauthorization Act of 2015,” or MACRA, does much more than simply remove the SGR’s threat of broader Medicare payment cuts. The law changes the ways physicians are reimbursed by Medicare and continues to shift our healthcare system away from volume-based reimbursements and toward a value-based payment system.

What Is MIPS?

MACRA creates two value-based payment tracks for physicians. The first, the Merit-Based Incentive Payment System (MIPS), is closer to the old fee-for-service model of reimbursement. However, MIPS takes into account both volume and quality (i.e., payment is adjusted based on physician-quality scores). These physician-specific scores broaden the scope of quality measurement by including new measures related to resource utilization, electronic health record (EHR) use, and clinical improvement practices, along with the traditional clinical quality markers.

Under MIPS, the current Physician Quality Reporting System (PQRS), EHR Incentive Program, and Physician Value-Based Modifier all will be integrated into this single-payment adjustment.

The range of potential payment adjustments based on a physician’s MIPS score grows each year through 2022 (in 2022, adjustments can range from +9% to -9%). The program is budget neutral, which means that increases in payments to high-scoring providers will be offset by decreases in payments to low-scoring providers. For 2019 to 2024, there also will be an additional payment adjustment given to the highest MIPS performers for exceptional performance.

A benefit of MIPS is that it will streamline the various quality-reporting programs currently in place into one single program and does not ask physicians to assume any additional financial risk related to outcomes when taking care of patients. However, the particulars of how the MIPS score will be calculated are yet to be determined, and much of the utility and palatability of this score will depend on the chosen metrics. The goal of these metrics should be that they are meaningful, valid, and attributable to specific providers.

What Are APMs?

The other payment option MACRA provides for physicians allows them to opt out of MIPS and participate in the Alternative Payment Models (APMs) track. To incentivize physicians to take part in this riskier track, providers taking part in APMs will receive some extra money for their participation: a 5% annual lump sum bonus on reimbursement payments. To clarify, qualifying APMs are those where providers take on “more than nominal” financial risk, report on their quality measures, and use certified EHR technology.

To qualify as a participant in an APM (for example, the Medicare Shared Savings Program), providers must hit a threshold for percentage of total revenue received or percentage of patients from qualifying APMs. This threshold will increase over time. For example, from 2019 to 2020, providers must obtain at least 25% of their Medicare revenue or patients via APMs, whereas in 2023, 75% of their Medicare revenue or \ patients will need to come from APMs.

Providers will benefit from the increased reimbursement offered if they participate in APMs. There also is funding allocated in MACRA to help develop quality measures, with a call for physician leads to develop quality standards. This payment model, however, does come with increased financial risk for the provider contingent on patient outcomes. In addition, it may be difficult for all providers to hit the thresholds for participation.

 

 

Stick with MIPS? Or Take the Plunge with APM?

How MACRA affects you will depend a lot on the practice environment. As described above, MACRA is designed to move physicians into risk-based payment structures if possible. If possible, or otherwise, to simplify the current fee-for-service mechanism of payment by consolidating various Medicare pay-for-performance programs.

Let’s look at a few scenarios:

Hospitalist A works for a physician group that assumes risk for patients in a MACRA-approved APM and sees only those inpatients as opposed to unassigned patients. Therefore, almost all of hospitalist A’s patients are covered by risk-based contracts, and hospitalist A might be well positioned for the new APM structure.

Hospitalist B works for a group, or a university, and sees whatever patients are admitted to the hospital. Hospitalist B’s eligibility to participate in the APM will depend on the percentage of patients in alternative payment models in their market. If hospitalist B’s market has many Medicare accountable care organizations, and Medicaid and the commercial insurers compensate through a risk-sharing model, hospitalist B might reach the threshold. This is more accidental than planned, however, and hospitalist B might not be able to consistently hit this threshold year after year.

In addition, just working within the model will probably not be enough to qualify. Hospitalist B will need to also take on “more than nominal risk” as a participant in the model. In an employed academic setting, where the hospital is taking on risk as part of an APM, it is unlikely hospitalist B will qualify just by virtue of hospital employment. Hospitalist B must also meet/exceed the patient or payment thresholds under the model.

Bottom line: Given the current situation, we expect many hospitalists will likely be required to participate in MIPS and not qualify for APMs. Understanding the details and expectations now will help them be successful in the future.

Is MACRA Good for Hospitalists?

Most of organized medicine is happy to be free from the annual threat of reimbursement cuts. In addition, the new law might streamline quality reporting. But the specific upside depends on your perspective.

With APMs, a hospitalist might enjoy more upside potential, particularly for high-quality work and EHR use. However, whether it is realistic for most hospitalists to even participate in the model depends on many factors, as described previously, and SHM is advocating for the law to be implemented in ways that will more readily accommodate hospitalist practice and employment structures.

For example, the SHM Public Policy Committee has provided the Centers for Medicare & Medicaid Services (CMS) with realistic options for implementing the APM framework that would allow hospitalist B in the above example to qualify as an APM participant.

With MIPS, the benefit to hospitalists depends a fair amount on the way the law is implemented: how quality reporting happens, what metrics will count as quality improvement efforts, and how utilization of EHRs is measured.

What Issues Should Hospitalists Be Aware Of?

As MACRA is further developed, the main issue for hospitalists will be to ensure fairness in assessing quality and incentive payments. As previously encountered with quality reporting, hospitalists are not differentiated clearly from outpatient providers. As a result, they could suffer from the comparison of their quality outcomes for their sicker hospitalized patients to the patients cared for in a typical primary-care internal medicine practice. This inaccurate comparison poses problems in both models.

A potential solution would be a hospitalist-specific billing code, which would make it easier to identify hospitalists. SHM applied for and advocated for the approval of such a billing code and the request was recently approved by CMS.

 

 

In addition, as hospitalists mostly work in groups with shift-based schedules, thus sharing care of patients, individual identifiers may not be as significant as possibly looking at hospital, system, or team-based metrics. Using facility performance measures for both clinical quality and performance improvement—where hospitalists can opt to align with their hospital, which is already reporting quality outcomes—might be one way out of this conundrum. It would take into account the type of facility-level quality improvement work many hospitalists participate in. This also would decrease reporting burden for hospitalist groups.

SHM has advocated for this solution and was able to ensure this concept was included in the law; however, it is unclear when or how CMS will implement it.

To summarize, looking good in quality reporting will continue to be a challenge for hospitalists. It will be critical to keep pressure on CMS to implement solutions that account for the unique situation of our specialty.

Another issue to be aware of is the ability of hospitalists to participate in APMs. As with other facility-based providers, hospitalists have little control over whether their facility participates in an APM. Ways to ensure hospitalists can reach thresholds for participation could include allowing the various APMs that hospitalist patients are aligned with count toward an individual hospitalists’ APM participation total—a solution that SHM is advocating for Medicare to include in the APM framework.

What’s Next?

Much remains to be solidified regarding implementation of MACRA, despite the fact it goes live in a few short years (see Figure 1). CMS has asked for comments and stakeholder input regarding MIPS and APMs, and it will be releasing the first round of rules around MACRA this year.

SHM is actively working with CMS to ensure this legislation will reflect the work we are doing as hospitalists to provide high-quality clinical care for our patients and enhance the performance of our hospitals and health system. TH

timelineweb.gif
Source: CMS.org


Dr. Doctoroff is a hospitalist at Beth Israel Deaconess Medical Center and an instructor of medicine at Harvard Medical School in Boston. Dr. Dutta is a hospitalist at Rush University Medical Center and an assistant professor of medicine at Rush Medical College in Chicago. Both are members of the SHM Public Policy Committee.

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Updates in Perioperative Medicine

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Given the rapid expansion of the field of perioperative medicine, clinicians need to remain apprised of the current evidence to ensure optimization of patient care. In this update, we review 10 key articles from the perioperative literature, with the goal of summarizing the most clinically important evidence over the past year. This summary of recent literature in perioperative medicine is derived from the Update in Perioperative Medicine sessions presented at the 10th Annual Perioperative Medicine Summit and the Society of General Internal Medicine 38th Annual Meeting. A systematic search strategy was used to identify pertinent articles, and the following were selected by the authors based on their relevance to the clinical practice of perioperative medicine.

PERIOPERATIVE CARDIOVASCULAR CARE

Fleisher LA, Fleischmann KE, Auerbach AD, et al. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines. Circulation. 2014;130:e278e333.

Background

The American College of Cardiology/American Heart Association (ACC/AHA) perioperative guideline provides recommendations for the evaluation and management of cardiovascular disease in patients undergoing noncardiac surgery.

Findings

The new guideline combines the evaluation of surgery‐ and patient‐specific risk in the algorithm for preoperative cardiovascular evaluation into a single step and recommends the use of 1 of 3 tools: the Revised Cardiac Risk Index (RCRI),[1] National Surgical Quality Improvement Program (NSQIP) Surgical Risk Calculator,[2] or the NSQIP‐derived myocardial infarction and cardiac arrest calculator.[3] Estimation of risk is also simplified by stratification into only 2 groups: low risk (risk of major adverse cardiac event <1%) and elevated risk (1% risk). Coronary evaluation can be considered for patients with elevated cardiac risk and poor functional capacity, but is advised only if the results would alter perioperative management. For example, a patient with very high risk who has evidence of ischemia on stress testing may choose to forego surgery. Preoperative coronary revascularization is only indicated for patients meeting criteria in the nonsurgical setting.

For patients with previous percutaneous coronary intervention, the ACC/AHA has not changed its recommendations to optimally delay surgery for at least 30 days after bare‐metal stenting and at least 1 year after drug‐eluting stent (DES) placement. However, in patients with a DES placed 6 to 12 months previously, surgery can be performed if the risks of surgical delay outweigh the risks of DES thrombosis. After any type of coronary stenting, dual antiplatelet therapy should be continued uninterrupted through the first 4 to 6 weeks and even later whenever feasible. If not possible, aspirin therapy should be maintained through surgery unless bleeding risk is too high.

The guideline recommends perioperative continuation of ‐blockers in patients taking them chronically. Preoperative initiation of ‐blocker therapy may be considered for patients with myocardial ischemia on stress testing or 3 RCRI factors and should be started far enough in advance to allow determination of patient's tolerance prior to surgery.

Cautions

Many recommendations are based on data from nonrandomized trials or expert opinion, and the data in areas such as perioperative ‐blockade continue to evolve.

Implications

The ACC/AHA guideline continues to be a critically valuable resource for hospitalists providing perioperative care to noncardiac surgery patients.

Wijeysundera DN, Duncan D, Nkonde‐Price C, et al. Perioperative beta blockade in noncardiac surgery: a systematic review for the 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines.

J Am Coll Cardiol. 2014;64(22):24062425.

Background

Various clinical trials have reported conflicting results regarding the efficacy and safety of perioperative ‐blockers resulting in guideline committees changing their recommendations. Because of questions raised regarding the scientific integrity of the DECREASE (Dutch Echocardiographic Cardiac Risk Evaluation Applying Stress Echocardiography)‐I[4] and DECREASE‐IV[5] trials as well as the dosing of ‐blockers in POISE (PeriOperative Ischemic Evaluation) study,[6] this systematic review was performed in conjunction with the ACC/AHA guideline update[7] to evaluate the data with and without these trials.

Findings

Sixteen randomized control trials (RCTs) (n=12,043) and 1 cohort study (n=348) were included in the analysis. Perioperative ‐blockers were associated with a reduction in nonfatal myocardial infarction (MI) (relative risk [RR]: 0.69; 95% confidence interval [CI]: 0.58‐0.82; P<0.001) but an increase in bradycardia (RR: 2.61; 95% CI: 2.18‐3.12), hypotension (RR: 1.47; 95% CI: 1.34‐1.6), and nonfatal strokes (RR: 1.76; 95% CI: 1.07‐2.91; P=0.02). The POISE trial was the only one demonstrating a statistically significant increase in stroke.

The major discrepancy between the DECREASE trials and the other RCTs was related to mortalitya reduction in both cardiovascular and all‐cause death in DECREASE but an increased risk of all‐cause death in the other trials.

Cautions

Because of its size, the POISE trial heavily influences the results, particularly for mortality and stroke. Including the DECREASE trials reduces the otherwise increased risk for death to a null effect. Exclusion of the POISE and DECREASE trials leaves few data to make conclusions about safety and efficacy of perioperative ‐blockade. Several cohort studies have found metoprolol to be associated with worse outcomes than with atenolol or bisoprolol (which were preferred by the European Society of Cardiology guidelines).[8]

Implications

Perioperative ‐blockade started within 1 day of noncardiac surgery was associated with fewer nonfatal MIs but at the cost of an increase in hypotension, bradycardia, and a possible increase in stroke and death. Long‐term ‐blockade should be continued perioperatively, whereas the decision to initiate a ‐blocker should be individualized. If starting a ‐blocker perioperatively, it should be done 2 days before surgery.

Botto F, Alonso‐Coello P, Chan MT, et al.; on behalf of The Vascular events In noncardiac Surgery patIents cOhort evaluatioN (VISION) Investigators. Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30‐day outcomes. Anesthesiology. 2014;120(3):564578.

Background

Many patients sustain myocardial injury in the perioperative period as evidenced by troponin elevations, but most do not meet diagnostic criteria for MI. Myocardial injury after noncardiac surgery (MINS) is defined as prognostically relevant myocardial injury due to ischemia that occurs within 30 days after noncardiac surgery. This international, prospective cohort study of 15,065 patients 45 years old who underwent in‐patient noncardiac surgery determined diagnostic criteria, characteristics, predictors, and 30‐day outcomes of MINS.

Findings

The diagnostic criterion for MINS was a peak troponin T level 0.03 ng/mL judged to be due to an ischemic etiology. Twelve independent predictors of MINS were identified including age 75 years, known cardiovascular disease or risk factors, and surgical factors. MINS was an independent predictor of 30‐day mortality (adjusted hazard ratio [HR]: 3.87; 95% CI: 2.96‐5.08). Age >75 years, ST elevation, or new left bundle branch block, and anterior ischemic findings were independent predictors of 30‐day mortality among patients with MINS.

Cautions

Although screening high‐risk surgical patients without signs or symptoms of ischemia with postoperative troponins will increase the frequency of diagnosing MINS, evidence for an effective treatment has not yet been established. The ACC/AHA guidelines state that routine screening is of uncertain benefit for this reason.

Implications

Because MINS is common and carries a poor 30‐day prognosis, clinical trials are needed to determine when to obtain postoperative troponins and how to prevent and treat this complication.[9] Some observational data from POISE suggest that aspirin and statins can reduce the risk of 30‐day mortality in patients with postoperative MIs.

Devereaux PJ, Mrkobrada M, Sessler DI, et al. for the POISE‐2 Investigators. Aspirin in patients undergoing noncardiac surgery. N Engl J Med. 2014; 370(16):14941503.

Devereaux PJ, Sessler DI, Leslie K, et al. for the POISE‐2 Investigators. Clonidine in patients undergoing noncardiac surgery. N Engl J Med. 2014; 370(16):15041513.

Background

Medical risk reduction with aspirin and other agents in perioperative patients remains controversial. The POISE‐2 trial is a blinded RCT examining the effects of aspirin and clonidine on outcomes in >10,000 noncardiac surgery patients at risk of cardiovascular complications. The aspirin arm of the study included the initiation group and the continuation stratum, as well as placebo. Patients in the clonidine portion of the trial received 0.2 mg of clonidine or placebo daily for the same time periods.

Findings

The primary outcome was a composite of death or nonfatal MI within 30 days of surgery. Outcomes were similar in patients initiated or continued on aspirin. No difference was seen between aspirin or placebo in the primary outcome (7.0% vs 7.1%; HR: 0.86; 95% CI: 0.86‐1.15; P=0.92). There were no differences in rates of MI, venous thromboembolism, or stroke. Major bleeding rates were higher in aspirin versus placebo‐treated patients (4.6% vs 3.8%; HR: 1.23; 95% CI: 1.01‐1.49; P=0.04).

Clonidine did not alter the composite outcome of death or nonfatal MI (7.3% vs 6.8%; HR: 1.08; 95% CI: 0.93‐1.26; P=0.29). Clinically significant hypotension, bradycardia, and nonfatal cardiac arrest were more common in clonidine‐treated patients, although no difference was detected in stroke rates.

Cautions

Although patients in the trial had cardiovascular risk factors, <24% of patients had known coronary artery disease, and <5% had coronary stents. Conclusions based on this trial regarding perioperative management of antiplatelet therapy should not include patients with coronary artery stents.

Implications

Aspirin started before surgery and continued perioperatively did not decrease the rate of death or nonfatal MI but increased the risk of major bleeding. Perioperative management of aspirin needs to be undertaken in the context of cardiac and bleeding risks. Clonidine also did not improve outcomes and increased the risk of bradycardia and hypotension. Current guidelines recommend against using alpha‐2 agonists for prevention of perioperative cardiac events7; however, patients already on alpha‐2 agonists should not stop them abruptly.

PERIOPERATIVE PULMONARY CARE

Mutter TC, Chateau D, Moffatt M, et al. A matched cohort study of postoperative outcomes in obstructive sleep apnea: could preoperative diagnosis and treatment prevent complications? Anesthesiology. 2014;121(4):707718.

Background

An increasing body of literature associates obstructive sleep apnea (OSA) with an increased risk of postoperative complications. Despite evidence of risk, potential benefits of preoperative diagnosis and treatment of OSA remain unclear.

Findings

Using databases to identify patients prescribed continuous positive airway pressure (CPAP) therapy, the study compared postoperative outcomes of patients who underwent surgery any time after polysomnography (PSG) and CPAP prescription (diagnosed OSA [DOSA]) and those who had surgery during the 5 years preceding their PSG (undiagnosed OSA [UOSA]). These patients were matched with patients who underwent the same procedure for the same indication and had no insurance claims for PSG or diagnosis of sleep‐disordered breathing.

After multivariate analysis, OSA of any type was associated with increased pulmonary complications (odds ratio [OR]: 2.08; 95% CI: 1.35‐2.19). However, no significant differences in respiratory outcomes were noted between DOSA patients (N=2640) and those with UOSA (N=1571). DOSA patients did have fewer cardiovascular complications than UOSA patients (OR: 0.34; 95% CI: 0.15‐0.77). Only severe OSA (apnea‐hypopnea index >30) was associated with increased pulmonary and cardiovascular complications.

Cautions

Although this study suggests an association between preoperative diagnosis and treatment of OSA and reduced cardiovascular complications, the results are not definitive due to the inability to control for all confounding variables in a retrospective study utilizing an administrative database.

Implications

OSA is an important risk factor for postoperative complications, and this study suggests that preoperative treatment with CPAP is associated with reduced risk of cardiovascular complications, particularly in patients with severe OSA. Future controlled trials should focus on the risk‐reduction potential of preoperative diagnosis and treatment of OSA.

Mazo V, Sabat S, Canet J, et al. Prospective external validation of a predictive score for postoperative pulmonary complications. Anesthesiology. 2014;121:219231.

Background

In 2010, Canet et al. published a novel risk index, the Assess Respiratory Risk in Surgical Patients in Catalonia (ARISCAT) index, to provide a quantitative estimate of the risk of postoperative pulmonary complications (PPCs).[10]

In the current report, Mazo and colleagues studied the ARISCAT index in a broader sample to characterize its accuracy in predicting PPC risk. The ARISCAT index is derived from clinical risk factors: (1) age, (2) preoperative oxygen saturation, (3) respiratory infection in the prior month, (4) anemia, (5) surgical site, (6) duration of surgery, and (7) emergency surgery, with varying weights based on the strength of the association in a multivariable analysis. This score can be calculated via addition of these weighted risk factors, with a score>45 equal to high risk for PPC.

Findings

Examining 5099 patients from 63 European hospitals, the authors definition of PPC included respiratory failure, pulmonary infection, pleural effusion, atelectasis, pneumothorax, bronchospasm, and aspiration pneumonitis. PPC rates were as follows: low risk (3.39%), intermediate risk (12.98%), and high risk (38.01%). The positive likelihood ratio for PPC among the highest risk group was 7.12. The C statistic for fit was 0.80. Observed PPC rates were higher than predicted for the low (3.39% vs 0.87%) and intermediate (12.98% vs 7.82%) risk groups.

Cautions

The calibration slopes were less than ideal in all subsamples, with the Western European sample performing better than the other geographic areas; suggesting that the coefficients on the ARISCAT index may benefit from recalibration to match specific populations.

Implications

This is the first major pulmonary risk index that has been externally validated. Its use of readily available clinical information, simplicity, and accuracy in estimating PPC risk make it an important addition to the toolkit during a preoperative evaluation.

PERIOPERATIVE ATRIAL FIBRILLATION/ANTICOAGULATION

Gialdini G, Nearing K, Bhave P, et al. Perioperative atrial fibrillation and the long term risk of ischemic stroke. JAMA. 2014;312(6):616622.

Background

New‐onset atrial fibrillation (AF) is the most common perioperative arrhythmia.[11] However, little is known regarding the long‐term risks of ischemic stroke in patients who develop perioperative AF. This retrospective cohort study examined adults with no preexisting history of AF, hospitalized for surgery, and discharged free of cerebrovascular disease between 2007 and 2011 (n=1,729,360).

Findings

Of the eligible patients, 1.43% (95% CI: 1.41%‐1.45%) developed perioperative AF, and 0.81% (95% CI: 0.79%‐0.82%) had a stroke up to 1 year after discharge. Perioperative AF was associated with subsequent stroke after both cardiac (HR: 1.3; 95% CI: 1.1‐1.6) and noncardiac surgery (HR: 2; 95% CI: 1.7‐2.3). The association with stroke was stronger for perioperative AF after noncardiac versus cardiac surgery (P<0.001 for interaction).

Cautions

This is a retrospective cohort study, using claims data to identify AF and stroke. Data on duration of the perioperative AF episodes or use of antithrombotic therapies were not available.

Implications

The association found between perioperative AF and long‐term risk of ischemic stroke may suggest that perioperative AF, especially after noncardiac surgery, should be treated aggressively in terms of thromboembolic risk; however, further data will be required to validate this association.

Van Diepen S, Youngson E, Ezekowitz J, McAlister F. Which risk score best predicts perioperative outcomes in nonvalvular atrial fibrillation patients undergoing noncardiac surgery? Am Heart J. 2014;168(1):6067.

Background

Patients with nonvalvular AF (NVAF) are at increased risk for adverse perioperative outcomes after noncardiac surgery.[12] The RCRI is commonly used to predict perioperative cardiovascular events for all patients, including those with NVAF, though AF is not part of this risk assessment. The goal of this retrospective cohort study was to examine the prognostic utility of already existing NVAF risk indices, including the CHADS2 (Congestive heart failure, Hypertension, Age 75 years, Diabetes mellitus, prior stroke or transient ischemic attack), CHA2DS2‐VASc (Congestive heart failure; Hypertension; Age 75 years; Diabetes mellitus; Stroke, TIA, or thromboembolism [TE]; Vascular disease; Age 65 to 74 years; Sex category [female]), and R2CHADS2 (Renal dysfunction, Congestive heart failure, Hypertension, Age, Diabetes, Stroke/TIA) for perioperative outcomes in patients undergoing noncardiac surgery.

Findings

A population dataset of NVAF patients (n=32,160) who underwent noncardiac surgery was examined, with outcome measures including 30‐day mortality, stroke, TIA, or systemic embolism. The incidence of the 30‐day composite outcome was 4.2% and the C indices were 0.65 for the RCRI, 0.67 for CHADS2, 0.67 for CHA2DS2‐VASc, and 0.68 for R2CHADS2. The Net Reclassification Index (NRI), a measure evaluating the improvement in prediction performance gained by adding a marker to a set of baseline predictors, was calculated. All NVAF scores performed better than the RCRI for predicting mortality risk (NRI: 12.3%, 8.4%, and 13.3% respectively, all P<0.01).

Cautions

Patients in the highest risk category by RCRI appear to have an unadjusted higher 30‐day mortality risk (8%) than that predicted by the other 3 scores (5%, 5.6%, and 5%), indicating that these risk scores should not completely supplant the RCRI for risk stratification in this population. In addition, the overall improvement in predictive capacity of the CHADS2, CHA2DS2‐VASc, and R2CHADS2, although superior to the RCRI, is modest.

Implications

These findings indicate that the preoperative risk stratification for patients with NVAF can be improved by utilizing the CHADS2, CHA2DS2‐VASc, or R2CHADS2 scores when undergoing noncardiac surgery. For patients with NVAF identified as high risk for adverse outcomes, this assessment can be integrated into the preoperative discussion on the risks/benefits of surgery.

Steinberg BA, Peterson ED, Kim S, et al. Use and outcomes associated with bridging during anticoagulation interruptions in patients with atrial fibrillation: findings from the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT‐AF). Circulation. 2015;131:488494

Background

Oral anticoagulation (OAC) significantly reduces the risk of stroke in patients with AF. Many AF patients on long‐term anticoagulation undergo procedures requiring temporary interruption of OAC. Although guidelines have been published on when and how to initiate bridging therapy, they are based on observational data. Thus, it remains unclear which patients should receive bridging anticoagulation.

Findings

This is a US registry of outpatients with AF with temporary interruptions of OAC for a procedure. Of 7372 patients treated with OAC, 2803 overall interruption events occurred in 2200 patients (30%). Bridging anticoagulants were used in 24% (n=665). Bleeding events were more common in bridged than nonbridged patients (5.0% vs 1.3%; adjusted OR: 3.84; P<0.0001). The overall composite end point of myocardial infarction, stroke or systemic embolism, major bleeding, hospitalization, or death within 30 days was significantly higher in patients receiving bridging (13% vs 6.3%; adjusted OR: 1.94; P=0.0001). This statistically significant increase in the composite outcome, which includes cardiovascular events, is most likely in part secondary to inclusion of bleeding events. The recently published BRIDGE (Bridging Anticoagulation in Patients who Require Temporary Interruption of Warfarin Therapy for an Elective Invasive Procedure or Surgery) trial did not find a statistically significant difference in cardiovascular events between bridged and nonbridged patients.[13]

Cautions

Although patients who were bridged appear to have had more comorbidities and a higher mean CHADS2 score than patients who were not bridged, it is difficult to determine which population of patients may be high risk enough to warrant bridging, as indicated by current American College of Chest Physicians guidelines, as this was not evaluated in this study

Implications

The use of bridging anticoagulation was significantly associated with higher overall bleeding and adverse event rates. The BRIDGE trial also found that forgoing bridging anticoagulation decreased the risk of major bleeding in patients with AF and was noninferior to bridging for the prevention of arterial TE.[13]

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References
  1. Lee T, Marcantonio E, Mangione C, et al. Derivation and prospective evaluation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation. 1999;100:10431049.
  2. Bilimoria KY, Liu Y, Paruch JL, et al. Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons. J Am Coll Surg. 2013;217(5):833842.
  3. Gupta PK, Gupta H, Sundaram A, et al. Development and validation of a risk calculator for prediction of cardiac risk after surgery. Circulation. 2011;124:381387.
  4. Poldermans D, Boersma E, Bax JJ, et al. The effect of bisoprolol on perioperative mortality and myocardial infarction in high‐risk patients undergoing vascular surgery. Dutch Echocardiographic Cardiac Risk Evaluation Applying Stress Echocardiography Study Group. N Engl J Med. 1999;341(24):17891794.
  5. Dunkelgrun M, Boersma E, Schouten O, et al; Dutch Echocardiographic Cardiac Risk Evaluation Applying Stress Echocardiography Study Group. Bisoprolol and fluvastatin for the reduction of perioperative cardiac mortality and myocardial infarction in intermediate‐risk patients undergoing noncardiovascular surgery: a randomized controlled trial (DECREASE‐IV). Ann Surg. 2009;249(6):921926.
  6. POISE Study Group, Devereaux PJ, Yang H, Yusuf S, et al. Effects of extended‐release metoprolol succinate in patients undergoing non‐cardiac surgery (POISE trial): a randomised controlled trial. Lancet. 2008;371(9627):18391847.
  7. Fleisher LA, Fleischmann KE, Auerbach AD, et al. American College of Cardiology; American Heart Association. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines. J Am Coll Cardiol. 2014;64(22):e77e137.
  8. Kristensen SD, Knuuti J, Saraste A, et al. 2014 ESC/ESA Guidelines on non‐cardiac surgery: cardiovascular assessment and management: The Joint Task Force on non‐cardiac surgery: cardiovascular assessment and management of the European Society of Cardiology (ESC) and the European Society of Anaesthesiology (ESA). Eur Heart J. 2014;35(35):2383431.
  9. Foucrier A, Rodseth R, Aissaoui M, et al. The long‐term impact of early cardiovascular therapy intensification for postoperative troponin elevation after major vascular surgery. Anesth Analg. 2014;119(5):10531063.
  10. Canet J, Gallart L, Gomar C, et al. ARISCAT Group: Prediction of postoperative pulmonary complications in a population‐based surgical cohort. Anesthesiology. 2010;113:13381350.
  11. Hollenberg SM, Dellinger RP. Noncardiac surgery: postoperative arrhythmias. Crit Care Med. 2000;28(10 suppl):N145N150.
  12. Bhave PD, Goldman LE, Vittinghoff E, et al. Incidence, predictors, and outcomes associated with postoperative atrial fibrillation after major cardiac surgery. Am Heart J. 2012;164(6):918924.
  13. Douketis JD, Spyropoulos AC, Kaatz S, et al. Perioperative bridging anticoagulation in patients with atrial fibrillation. N Engl J Med. 2015;373(9):823833.
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Given the rapid expansion of the field of perioperative medicine, clinicians need to remain apprised of the current evidence to ensure optimization of patient care. In this update, we review 10 key articles from the perioperative literature, with the goal of summarizing the most clinically important evidence over the past year. This summary of recent literature in perioperative medicine is derived from the Update in Perioperative Medicine sessions presented at the 10th Annual Perioperative Medicine Summit and the Society of General Internal Medicine 38th Annual Meeting. A systematic search strategy was used to identify pertinent articles, and the following were selected by the authors based on their relevance to the clinical practice of perioperative medicine.

PERIOPERATIVE CARDIOVASCULAR CARE

Fleisher LA, Fleischmann KE, Auerbach AD, et al. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines. Circulation. 2014;130:e278e333.

Background

The American College of Cardiology/American Heart Association (ACC/AHA) perioperative guideline provides recommendations for the evaluation and management of cardiovascular disease in patients undergoing noncardiac surgery.

Findings

The new guideline combines the evaluation of surgery‐ and patient‐specific risk in the algorithm for preoperative cardiovascular evaluation into a single step and recommends the use of 1 of 3 tools: the Revised Cardiac Risk Index (RCRI),[1] National Surgical Quality Improvement Program (NSQIP) Surgical Risk Calculator,[2] or the NSQIP‐derived myocardial infarction and cardiac arrest calculator.[3] Estimation of risk is also simplified by stratification into only 2 groups: low risk (risk of major adverse cardiac event <1%) and elevated risk (1% risk). Coronary evaluation can be considered for patients with elevated cardiac risk and poor functional capacity, but is advised only if the results would alter perioperative management. For example, a patient with very high risk who has evidence of ischemia on stress testing may choose to forego surgery. Preoperative coronary revascularization is only indicated for patients meeting criteria in the nonsurgical setting.

For patients with previous percutaneous coronary intervention, the ACC/AHA has not changed its recommendations to optimally delay surgery for at least 30 days after bare‐metal stenting and at least 1 year after drug‐eluting stent (DES) placement. However, in patients with a DES placed 6 to 12 months previously, surgery can be performed if the risks of surgical delay outweigh the risks of DES thrombosis. After any type of coronary stenting, dual antiplatelet therapy should be continued uninterrupted through the first 4 to 6 weeks and even later whenever feasible. If not possible, aspirin therapy should be maintained through surgery unless bleeding risk is too high.

The guideline recommends perioperative continuation of ‐blockers in patients taking them chronically. Preoperative initiation of ‐blocker therapy may be considered for patients with myocardial ischemia on stress testing or 3 RCRI factors and should be started far enough in advance to allow determination of patient's tolerance prior to surgery.

Cautions

Many recommendations are based on data from nonrandomized trials or expert opinion, and the data in areas such as perioperative ‐blockade continue to evolve.

Implications

The ACC/AHA guideline continues to be a critically valuable resource for hospitalists providing perioperative care to noncardiac surgery patients.

Wijeysundera DN, Duncan D, Nkonde‐Price C, et al. Perioperative beta blockade in noncardiac surgery: a systematic review for the 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines.

J Am Coll Cardiol. 2014;64(22):24062425.

Background

Various clinical trials have reported conflicting results regarding the efficacy and safety of perioperative ‐blockers resulting in guideline committees changing their recommendations. Because of questions raised regarding the scientific integrity of the DECREASE (Dutch Echocardiographic Cardiac Risk Evaluation Applying Stress Echocardiography)‐I[4] and DECREASE‐IV[5] trials as well as the dosing of ‐blockers in POISE (PeriOperative Ischemic Evaluation) study,[6] this systematic review was performed in conjunction with the ACC/AHA guideline update[7] to evaluate the data with and without these trials.

Findings

Sixteen randomized control trials (RCTs) (n=12,043) and 1 cohort study (n=348) were included in the analysis. Perioperative ‐blockers were associated with a reduction in nonfatal myocardial infarction (MI) (relative risk [RR]: 0.69; 95% confidence interval [CI]: 0.58‐0.82; P<0.001) but an increase in bradycardia (RR: 2.61; 95% CI: 2.18‐3.12), hypotension (RR: 1.47; 95% CI: 1.34‐1.6), and nonfatal strokes (RR: 1.76; 95% CI: 1.07‐2.91; P=0.02). The POISE trial was the only one demonstrating a statistically significant increase in stroke.

The major discrepancy between the DECREASE trials and the other RCTs was related to mortalitya reduction in both cardiovascular and all‐cause death in DECREASE but an increased risk of all‐cause death in the other trials.

Cautions

Because of its size, the POISE trial heavily influences the results, particularly for mortality and stroke. Including the DECREASE trials reduces the otherwise increased risk for death to a null effect. Exclusion of the POISE and DECREASE trials leaves few data to make conclusions about safety and efficacy of perioperative ‐blockade. Several cohort studies have found metoprolol to be associated with worse outcomes than with atenolol or bisoprolol (which were preferred by the European Society of Cardiology guidelines).[8]

Implications

Perioperative ‐blockade started within 1 day of noncardiac surgery was associated with fewer nonfatal MIs but at the cost of an increase in hypotension, bradycardia, and a possible increase in stroke and death. Long‐term ‐blockade should be continued perioperatively, whereas the decision to initiate a ‐blocker should be individualized. If starting a ‐blocker perioperatively, it should be done 2 days before surgery.

Botto F, Alonso‐Coello P, Chan MT, et al.; on behalf of The Vascular events In noncardiac Surgery patIents cOhort evaluatioN (VISION) Investigators. Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30‐day outcomes. Anesthesiology. 2014;120(3):564578.

Background

Many patients sustain myocardial injury in the perioperative period as evidenced by troponin elevations, but most do not meet diagnostic criteria for MI. Myocardial injury after noncardiac surgery (MINS) is defined as prognostically relevant myocardial injury due to ischemia that occurs within 30 days after noncardiac surgery. This international, prospective cohort study of 15,065 patients 45 years old who underwent in‐patient noncardiac surgery determined diagnostic criteria, characteristics, predictors, and 30‐day outcomes of MINS.

Findings

The diagnostic criterion for MINS was a peak troponin T level 0.03 ng/mL judged to be due to an ischemic etiology. Twelve independent predictors of MINS were identified including age 75 years, known cardiovascular disease or risk factors, and surgical factors. MINS was an independent predictor of 30‐day mortality (adjusted hazard ratio [HR]: 3.87; 95% CI: 2.96‐5.08). Age >75 years, ST elevation, or new left bundle branch block, and anterior ischemic findings were independent predictors of 30‐day mortality among patients with MINS.

Cautions

Although screening high‐risk surgical patients without signs or symptoms of ischemia with postoperative troponins will increase the frequency of diagnosing MINS, evidence for an effective treatment has not yet been established. The ACC/AHA guidelines state that routine screening is of uncertain benefit for this reason.

Implications

Because MINS is common and carries a poor 30‐day prognosis, clinical trials are needed to determine when to obtain postoperative troponins and how to prevent and treat this complication.[9] Some observational data from POISE suggest that aspirin and statins can reduce the risk of 30‐day mortality in patients with postoperative MIs.

Devereaux PJ, Mrkobrada M, Sessler DI, et al. for the POISE‐2 Investigators. Aspirin in patients undergoing noncardiac surgery. N Engl J Med. 2014; 370(16):14941503.

Devereaux PJ, Sessler DI, Leslie K, et al. for the POISE‐2 Investigators. Clonidine in patients undergoing noncardiac surgery. N Engl J Med. 2014; 370(16):15041513.

Background

Medical risk reduction with aspirin and other agents in perioperative patients remains controversial. The POISE‐2 trial is a blinded RCT examining the effects of aspirin and clonidine on outcomes in >10,000 noncardiac surgery patients at risk of cardiovascular complications. The aspirin arm of the study included the initiation group and the continuation stratum, as well as placebo. Patients in the clonidine portion of the trial received 0.2 mg of clonidine or placebo daily for the same time periods.

Findings

The primary outcome was a composite of death or nonfatal MI within 30 days of surgery. Outcomes were similar in patients initiated or continued on aspirin. No difference was seen between aspirin or placebo in the primary outcome (7.0% vs 7.1%; HR: 0.86; 95% CI: 0.86‐1.15; P=0.92). There were no differences in rates of MI, venous thromboembolism, or stroke. Major bleeding rates were higher in aspirin versus placebo‐treated patients (4.6% vs 3.8%; HR: 1.23; 95% CI: 1.01‐1.49; P=0.04).

Clonidine did not alter the composite outcome of death or nonfatal MI (7.3% vs 6.8%; HR: 1.08; 95% CI: 0.93‐1.26; P=0.29). Clinically significant hypotension, bradycardia, and nonfatal cardiac arrest were more common in clonidine‐treated patients, although no difference was detected in stroke rates.

Cautions

Although patients in the trial had cardiovascular risk factors, <24% of patients had known coronary artery disease, and <5% had coronary stents. Conclusions based on this trial regarding perioperative management of antiplatelet therapy should not include patients with coronary artery stents.

Implications

Aspirin started before surgery and continued perioperatively did not decrease the rate of death or nonfatal MI but increased the risk of major bleeding. Perioperative management of aspirin needs to be undertaken in the context of cardiac and bleeding risks. Clonidine also did not improve outcomes and increased the risk of bradycardia and hypotension. Current guidelines recommend against using alpha‐2 agonists for prevention of perioperative cardiac events7; however, patients already on alpha‐2 agonists should not stop them abruptly.

PERIOPERATIVE PULMONARY CARE

Mutter TC, Chateau D, Moffatt M, et al. A matched cohort study of postoperative outcomes in obstructive sleep apnea: could preoperative diagnosis and treatment prevent complications? Anesthesiology. 2014;121(4):707718.

Background

An increasing body of literature associates obstructive sleep apnea (OSA) with an increased risk of postoperative complications. Despite evidence of risk, potential benefits of preoperative diagnosis and treatment of OSA remain unclear.

Findings

Using databases to identify patients prescribed continuous positive airway pressure (CPAP) therapy, the study compared postoperative outcomes of patients who underwent surgery any time after polysomnography (PSG) and CPAP prescription (diagnosed OSA [DOSA]) and those who had surgery during the 5 years preceding their PSG (undiagnosed OSA [UOSA]). These patients were matched with patients who underwent the same procedure for the same indication and had no insurance claims for PSG or diagnosis of sleep‐disordered breathing.

After multivariate analysis, OSA of any type was associated with increased pulmonary complications (odds ratio [OR]: 2.08; 95% CI: 1.35‐2.19). However, no significant differences in respiratory outcomes were noted between DOSA patients (N=2640) and those with UOSA (N=1571). DOSA patients did have fewer cardiovascular complications than UOSA patients (OR: 0.34; 95% CI: 0.15‐0.77). Only severe OSA (apnea‐hypopnea index >30) was associated with increased pulmonary and cardiovascular complications.

Cautions

Although this study suggests an association between preoperative diagnosis and treatment of OSA and reduced cardiovascular complications, the results are not definitive due to the inability to control for all confounding variables in a retrospective study utilizing an administrative database.

Implications

OSA is an important risk factor for postoperative complications, and this study suggests that preoperative treatment with CPAP is associated with reduced risk of cardiovascular complications, particularly in patients with severe OSA. Future controlled trials should focus on the risk‐reduction potential of preoperative diagnosis and treatment of OSA.

Mazo V, Sabat S, Canet J, et al. Prospective external validation of a predictive score for postoperative pulmonary complications. Anesthesiology. 2014;121:219231.

Background

In 2010, Canet et al. published a novel risk index, the Assess Respiratory Risk in Surgical Patients in Catalonia (ARISCAT) index, to provide a quantitative estimate of the risk of postoperative pulmonary complications (PPCs).[10]

In the current report, Mazo and colleagues studied the ARISCAT index in a broader sample to characterize its accuracy in predicting PPC risk. The ARISCAT index is derived from clinical risk factors: (1) age, (2) preoperative oxygen saturation, (3) respiratory infection in the prior month, (4) anemia, (5) surgical site, (6) duration of surgery, and (7) emergency surgery, with varying weights based on the strength of the association in a multivariable analysis. This score can be calculated via addition of these weighted risk factors, with a score>45 equal to high risk for PPC.

Findings

Examining 5099 patients from 63 European hospitals, the authors definition of PPC included respiratory failure, pulmonary infection, pleural effusion, atelectasis, pneumothorax, bronchospasm, and aspiration pneumonitis. PPC rates were as follows: low risk (3.39%), intermediate risk (12.98%), and high risk (38.01%). The positive likelihood ratio for PPC among the highest risk group was 7.12. The C statistic for fit was 0.80. Observed PPC rates were higher than predicted for the low (3.39% vs 0.87%) and intermediate (12.98% vs 7.82%) risk groups.

Cautions

The calibration slopes were less than ideal in all subsamples, with the Western European sample performing better than the other geographic areas; suggesting that the coefficients on the ARISCAT index may benefit from recalibration to match specific populations.

Implications

This is the first major pulmonary risk index that has been externally validated. Its use of readily available clinical information, simplicity, and accuracy in estimating PPC risk make it an important addition to the toolkit during a preoperative evaluation.

PERIOPERATIVE ATRIAL FIBRILLATION/ANTICOAGULATION

Gialdini G, Nearing K, Bhave P, et al. Perioperative atrial fibrillation and the long term risk of ischemic stroke. JAMA. 2014;312(6):616622.

Background

New‐onset atrial fibrillation (AF) is the most common perioperative arrhythmia.[11] However, little is known regarding the long‐term risks of ischemic stroke in patients who develop perioperative AF. This retrospective cohort study examined adults with no preexisting history of AF, hospitalized for surgery, and discharged free of cerebrovascular disease between 2007 and 2011 (n=1,729,360).

Findings

Of the eligible patients, 1.43% (95% CI: 1.41%‐1.45%) developed perioperative AF, and 0.81% (95% CI: 0.79%‐0.82%) had a stroke up to 1 year after discharge. Perioperative AF was associated with subsequent stroke after both cardiac (HR: 1.3; 95% CI: 1.1‐1.6) and noncardiac surgery (HR: 2; 95% CI: 1.7‐2.3). The association with stroke was stronger for perioperative AF after noncardiac versus cardiac surgery (P<0.001 for interaction).

Cautions

This is a retrospective cohort study, using claims data to identify AF and stroke. Data on duration of the perioperative AF episodes or use of antithrombotic therapies were not available.

Implications

The association found between perioperative AF and long‐term risk of ischemic stroke may suggest that perioperative AF, especially after noncardiac surgery, should be treated aggressively in terms of thromboembolic risk; however, further data will be required to validate this association.

Van Diepen S, Youngson E, Ezekowitz J, McAlister F. Which risk score best predicts perioperative outcomes in nonvalvular atrial fibrillation patients undergoing noncardiac surgery? Am Heart J. 2014;168(1):6067.

Background

Patients with nonvalvular AF (NVAF) are at increased risk for adverse perioperative outcomes after noncardiac surgery.[12] The RCRI is commonly used to predict perioperative cardiovascular events for all patients, including those with NVAF, though AF is not part of this risk assessment. The goal of this retrospective cohort study was to examine the prognostic utility of already existing NVAF risk indices, including the CHADS2 (Congestive heart failure, Hypertension, Age 75 years, Diabetes mellitus, prior stroke or transient ischemic attack), CHA2DS2‐VASc (Congestive heart failure; Hypertension; Age 75 years; Diabetes mellitus; Stroke, TIA, or thromboembolism [TE]; Vascular disease; Age 65 to 74 years; Sex category [female]), and R2CHADS2 (Renal dysfunction, Congestive heart failure, Hypertension, Age, Diabetes, Stroke/TIA) for perioperative outcomes in patients undergoing noncardiac surgery.

Findings

A population dataset of NVAF patients (n=32,160) who underwent noncardiac surgery was examined, with outcome measures including 30‐day mortality, stroke, TIA, or systemic embolism. The incidence of the 30‐day composite outcome was 4.2% and the C indices were 0.65 for the RCRI, 0.67 for CHADS2, 0.67 for CHA2DS2‐VASc, and 0.68 for R2CHADS2. The Net Reclassification Index (NRI), a measure evaluating the improvement in prediction performance gained by adding a marker to a set of baseline predictors, was calculated. All NVAF scores performed better than the RCRI for predicting mortality risk (NRI: 12.3%, 8.4%, and 13.3% respectively, all P<0.01).

Cautions

Patients in the highest risk category by RCRI appear to have an unadjusted higher 30‐day mortality risk (8%) than that predicted by the other 3 scores (5%, 5.6%, and 5%), indicating that these risk scores should not completely supplant the RCRI for risk stratification in this population. In addition, the overall improvement in predictive capacity of the CHADS2, CHA2DS2‐VASc, and R2CHADS2, although superior to the RCRI, is modest.

Implications

These findings indicate that the preoperative risk stratification for patients with NVAF can be improved by utilizing the CHADS2, CHA2DS2‐VASc, or R2CHADS2 scores when undergoing noncardiac surgery. For patients with NVAF identified as high risk for adverse outcomes, this assessment can be integrated into the preoperative discussion on the risks/benefits of surgery.

Steinberg BA, Peterson ED, Kim S, et al. Use and outcomes associated with bridging during anticoagulation interruptions in patients with atrial fibrillation: findings from the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT‐AF). Circulation. 2015;131:488494

Background

Oral anticoagulation (OAC) significantly reduces the risk of stroke in patients with AF. Many AF patients on long‐term anticoagulation undergo procedures requiring temporary interruption of OAC. Although guidelines have been published on when and how to initiate bridging therapy, they are based on observational data. Thus, it remains unclear which patients should receive bridging anticoagulation.

Findings

This is a US registry of outpatients with AF with temporary interruptions of OAC for a procedure. Of 7372 patients treated with OAC, 2803 overall interruption events occurred in 2200 patients (30%). Bridging anticoagulants were used in 24% (n=665). Bleeding events were more common in bridged than nonbridged patients (5.0% vs 1.3%; adjusted OR: 3.84; P<0.0001). The overall composite end point of myocardial infarction, stroke or systemic embolism, major bleeding, hospitalization, or death within 30 days was significantly higher in patients receiving bridging (13% vs 6.3%; adjusted OR: 1.94; P=0.0001). This statistically significant increase in the composite outcome, which includes cardiovascular events, is most likely in part secondary to inclusion of bleeding events. The recently published BRIDGE (Bridging Anticoagulation in Patients who Require Temporary Interruption of Warfarin Therapy for an Elective Invasive Procedure or Surgery) trial did not find a statistically significant difference in cardiovascular events between bridged and nonbridged patients.[13]

Cautions

Although patients who were bridged appear to have had more comorbidities and a higher mean CHADS2 score than patients who were not bridged, it is difficult to determine which population of patients may be high risk enough to warrant bridging, as indicated by current American College of Chest Physicians guidelines, as this was not evaluated in this study

Implications

The use of bridging anticoagulation was significantly associated with higher overall bleeding and adverse event rates. The BRIDGE trial also found that forgoing bridging anticoagulation decreased the risk of major bleeding in patients with AF and was noninferior to bridging for the prevention of arterial TE.[13]

Given the rapid expansion of the field of perioperative medicine, clinicians need to remain apprised of the current evidence to ensure optimization of patient care. In this update, we review 10 key articles from the perioperative literature, with the goal of summarizing the most clinically important evidence over the past year. This summary of recent literature in perioperative medicine is derived from the Update in Perioperative Medicine sessions presented at the 10th Annual Perioperative Medicine Summit and the Society of General Internal Medicine 38th Annual Meeting. A systematic search strategy was used to identify pertinent articles, and the following were selected by the authors based on their relevance to the clinical practice of perioperative medicine.

PERIOPERATIVE CARDIOVASCULAR CARE

Fleisher LA, Fleischmann KE, Auerbach AD, et al. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines. Circulation. 2014;130:e278e333.

Background

The American College of Cardiology/American Heart Association (ACC/AHA) perioperative guideline provides recommendations for the evaluation and management of cardiovascular disease in patients undergoing noncardiac surgery.

Findings

The new guideline combines the evaluation of surgery‐ and patient‐specific risk in the algorithm for preoperative cardiovascular evaluation into a single step and recommends the use of 1 of 3 tools: the Revised Cardiac Risk Index (RCRI),[1] National Surgical Quality Improvement Program (NSQIP) Surgical Risk Calculator,[2] or the NSQIP‐derived myocardial infarction and cardiac arrest calculator.[3] Estimation of risk is also simplified by stratification into only 2 groups: low risk (risk of major adverse cardiac event <1%) and elevated risk (1% risk). Coronary evaluation can be considered for patients with elevated cardiac risk and poor functional capacity, but is advised only if the results would alter perioperative management. For example, a patient with very high risk who has evidence of ischemia on stress testing may choose to forego surgery. Preoperative coronary revascularization is only indicated for patients meeting criteria in the nonsurgical setting.

For patients with previous percutaneous coronary intervention, the ACC/AHA has not changed its recommendations to optimally delay surgery for at least 30 days after bare‐metal stenting and at least 1 year after drug‐eluting stent (DES) placement. However, in patients with a DES placed 6 to 12 months previously, surgery can be performed if the risks of surgical delay outweigh the risks of DES thrombosis. After any type of coronary stenting, dual antiplatelet therapy should be continued uninterrupted through the first 4 to 6 weeks and even later whenever feasible. If not possible, aspirin therapy should be maintained through surgery unless bleeding risk is too high.

The guideline recommends perioperative continuation of ‐blockers in patients taking them chronically. Preoperative initiation of ‐blocker therapy may be considered for patients with myocardial ischemia on stress testing or 3 RCRI factors and should be started far enough in advance to allow determination of patient's tolerance prior to surgery.

Cautions

Many recommendations are based on data from nonrandomized trials or expert opinion, and the data in areas such as perioperative ‐blockade continue to evolve.

Implications

The ACC/AHA guideline continues to be a critically valuable resource for hospitalists providing perioperative care to noncardiac surgery patients.

Wijeysundera DN, Duncan D, Nkonde‐Price C, et al. Perioperative beta blockade in noncardiac surgery: a systematic review for the 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines.

J Am Coll Cardiol. 2014;64(22):24062425.

Background

Various clinical trials have reported conflicting results regarding the efficacy and safety of perioperative ‐blockers resulting in guideline committees changing their recommendations. Because of questions raised regarding the scientific integrity of the DECREASE (Dutch Echocardiographic Cardiac Risk Evaluation Applying Stress Echocardiography)‐I[4] and DECREASE‐IV[5] trials as well as the dosing of ‐blockers in POISE (PeriOperative Ischemic Evaluation) study,[6] this systematic review was performed in conjunction with the ACC/AHA guideline update[7] to evaluate the data with and without these trials.

Findings

Sixteen randomized control trials (RCTs) (n=12,043) and 1 cohort study (n=348) were included in the analysis. Perioperative ‐blockers were associated with a reduction in nonfatal myocardial infarction (MI) (relative risk [RR]: 0.69; 95% confidence interval [CI]: 0.58‐0.82; P<0.001) but an increase in bradycardia (RR: 2.61; 95% CI: 2.18‐3.12), hypotension (RR: 1.47; 95% CI: 1.34‐1.6), and nonfatal strokes (RR: 1.76; 95% CI: 1.07‐2.91; P=0.02). The POISE trial was the only one demonstrating a statistically significant increase in stroke.

The major discrepancy between the DECREASE trials and the other RCTs was related to mortalitya reduction in both cardiovascular and all‐cause death in DECREASE but an increased risk of all‐cause death in the other trials.

Cautions

Because of its size, the POISE trial heavily influences the results, particularly for mortality and stroke. Including the DECREASE trials reduces the otherwise increased risk for death to a null effect. Exclusion of the POISE and DECREASE trials leaves few data to make conclusions about safety and efficacy of perioperative ‐blockade. Several cohort studies have found metoprolol to be associated with worse outcomes than with atenolol or bisoprolol (which were preferred by the European Society of Cardiology guidelines).[8]

Implications

Perioperative ‐blockade started within 1 day of noncardiac surgery was associated with fewer nonfatal MIs but at the cost of an increase in hypotension, bradycardia, and a possible increase in stroke and death. Long‐term ‐blockade should be continued perioperatively, whereas the decision to initiate a ‐blocker should be individualized. If starting a ‐blocker perioperatively, it should be done 2 days before surgery.

Botto F, Alonso‐Coello P, Chan MT, et al.; on behalf of The Vascular events In noncardiac Surgery patIents cOhort evaluatioN (VISION) Investigators. Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30‐day outcomes. Anesthesiology. 2014;120(3):564578.

Background

Many patients sustain myocardial injury in the perioperative period as evidenced by troponin elevations, but most do not meet diagnostic criteria for MI. Myocardial injury after noncardiac surgery (MINS) is defined as prognostically relevant myocardial injury due to ischemia that occurs within 30 days after noncardiac surgery. This international, prospective cohort study of 15,065 patients 45 years old who underwent in‐patient noncardiac surgery determined diagnostic criteria, characteristics, predictors, and 30‐day outcomes of MINS.

Findings

The diagnostic criterion for MINS was a peak troponin T level 0.03 ng/mL judged to be due to an ischemic etiology. Twelve independent predictors of MINS were identified including age 75 years, known cardiovascular disease or risk factors, and surgical factors. MINS was an independent predictor of 30‐day mortality (adjusted hazard ratio [HR]: 3.87; 95% CI: 2.96‐5.08). Age >75 years, ST elevation, or new left bundle branch block, and anterior ischemic findings were independent predictors of 30‐day mortality among patients with MINS.

Cautions

Although screening high‐risk surgical patients without signs or symptoms of ischemia with postoperative troponins will increase the frequency of diagnosing MINS, evidence for an effective treatment has not yet been established. The ACC/AHA guidelines state that routine screening is of uncertain benefit for this reason.

Implications

Because MINS is common and carries a poor 30‐day prognosis, clinical trials are needed to determine when to obtain postoperative troponins and how to prevent and treat this complication.[9] Some observational data from POISE suggest that aspirin and statins can reduce the risk of 30‐day mortality in patients with postoperative MIs.

Devereaux PJ, Mrkobrada M, Sessler DI, et al. for the POISE‐2 Investigators. Aspirin in patients undergoing noncardiac surgery. N Engl J Med. 2014; 370(16):14941503.

Devereaux PJ, Sessler DI, Leslie K, et al. for the POISE‐2 Investigators. Clonidine in patients undergoing noncardiac surgery. N Engl J Med. 2014; 370(16):15041513.

Background

Medical risk reduction with aspirin and other agents in perioperative patients remains controversial. The POISE‐2 trial is a blinded RCT examining the effects of aspirin and clonidine on outcomes in >10,000 noncardiac surgery patients at risk of cardiovascular complications. The aspirin arm of the study included the initiation group and the continuation stratum, as well as placebo. Patients in the clonidine portion of the trial received 0.2 mg of clonidine or placebo daily for the same time periods.

Findings

The primary outcome was a composite of death or nonfatal MI within 30 days of surgery. Outcomes were similar in patients initiated or continued on aspirin. No difference was seen between aspirin or placebo in the primary outcome (7.0% vs 7.1%; HR: 0.86; 95% CI: 0.86‐1.15; P=0.92). There were no differences in rates of MI, venous thromboembolism, or stroke. Major bleeding rates were higher in aspirin versus placebo‐treated patients (4.6% vs 3.8%; HR: 1.23; 95% CI: 1.01‐1.49; P=0.04).

Clonidine did not alter the composite outcome of death or nonfatal MI (7.3% vs 6.8%; HR: 1.08; 95% CI: 0.93‐1.26; P=0.29). Clinically significant hypotension, bradycardia, and nonfatal cardiac arrest were more common in clonidine‐treated patients, although no difference was detected in stroke rates.

Cautions

Although patients in the trial had cardiovascular risk factors, <24% of patients had known coronary artery disease, and <5% had coronary stents. Conclusions based on this trial regarding perioperative management of antiplatelet therapy should not include patients with coronary artery stents.

Implications

Aspirin started before surgery and continued perioperatively did not decrease the rate of death or nonfatal MI but increased the risk of major bleeding. Perioperative management of aspirin needs to be undertaken in the context of cardiac and bleeding risks. Clonidine also did not improve outcomes and increased the risk of bradycardia and hypotension. Current guidelines recommend against using alpha‐2 agonists for prevention of perioperative cardiac events7; however, patients already on alpha‐2 agonists should not stop them abruptly.

PERIOPERATIVE PULMONARY CARE

Mutter TC, Chateau D, Moffatt M, et al. A matched cohort study of postoperative outcomes in obstructive sleep apnea: could preoperative diagnosis and treatment prevent complications? Anesthesiology. 2014;121(4):707718.

Background

An increasing body of literature associates obstructive sleep apnea (OSA) with an increased risk of postoperative complications. Despite evidence of risk, potential benefits of preoperative diagnosis and treatment of OSA remain unclear.

Findings

Using databases to identify patients prescribed continuous positive airway pressure (CPAP) therapy, the study compared postoperative outcomes of patients who underwent surgery any time after polysomnography (PSG) and CPAP prescription (diagnosed OSA [DOSA]) and those who had surgery during the 5 years preceding their PSG (undiagnosed OSA [UOSA]). These patients were matched with patients who underwent the same procedure for the same indication and had no insurance claims for PSG or diagnosis of sleep‐disordered breathing.

After multivariate analysis, OSA of any type was associated with increased pulmonary complications (odds ratio [OR]: 2.08; 95% CI: 1.35‐2.19). However, no significant differences in respiratory outcomes were noted between DOSA patients (N=2640) and those with UOSA (N=1571). DOSA patients did have fewer cardiovascular complications than UOSA patients (OR: 0.34; 95% CI: 0.15‐0.77). Only severe OSA (apnea‐hypopnea index >30) was associated with increased pulmonary and cardiovascular complications.

Cautions

Although this study suggests an association between preoperative diagnosis and treatment of OSA and reduced cardiovascular complications, the results are not definitive due to the inability to control for all confounding variables in a retrospective study utilizing an administrative database.

Implications

OSA is an important risk factor for postoperative complications, and this study suggests that preoperative treatment with CPAP is associated with reduced risk of cardiovascular complications, particularly in patients with severe OSA. Future controlled trials should focus on the risk‐reduction potential of preoperative diagnosis and treatment of OSA.

Mazo V, Sabat S, Canet J, et al. Prospective external validation of a predictive score for postoperative pulmonary complications. Anesthesiology. 2014;121:219231.

Background

In 2010, Canet et al. published a novel risk index, the Assess Respiratory Risk in Surgical Patients in Catalonia (ARISCAT) index, to provide a quantitative estimate of the risk of postoperative pulmonary complications (PPCs).[10]

In the current report, Mazo and colleagues studied the ARISCAT index in a broader sample to characterize its accuracy in predicting PPC risk. The ARISCAT index is derived from clinical risk factors: (1) age, (2) preoperative oxygen saturation, (3) respiratory infection in the prior month, (4) anemia, (5) surgical site, (6) duration of surgery, and (7) emergency surgery, with varying weights based on the strength of the association in a multivariable analysis. This score can be calculated via addition of these weighted risk factors, with a score>45 equal to high risk for PPC.

Findings

Examining 5099 patients from 63 European hospitals, the authors definition of PPC included respiratory failure, pulmonary infection, pleural effusion, atelectasis, pneumothorax, bronchospasm, and aspiration pneumonitis. PPC rates were as follows: low risk (3.39%), intermediate risk (12.98%), and high risk (38.01%). The positive likelihood ratio for PPC among the highest risk group was 7.12. The C statistic for fit was 0.80. Observed PPC rates were higher than predicted for the low (3.39% vs 0.87%) and intermediate (12.98% vs 7.82%) risk groups.

Cautions

The calibration slopes were less than ideal in all subsamples, with the Western European sample performing better than the other geographic areas; suggesting that the coefficients on the ARISCAT index may benefit from recalibration to match specific populations.

Implications

This is the first major pulmonary risk index that has been externally validated. Its use of readily available clinical information, simplicity, and accuracy in estimating PPC risk make it an important addition to the toolkit during a preoperative evaluation.

PERIOPERATIVE ATRIAL FIBRILLATION/ANTICOAGULATION

Gialdini G, Nearing K, Bhave P, et al. Perioperative atrial fibrillation and the long term risk of ischemic stroke. JAMA. 2014;312(6):616622.

Background

New‐onset atrial fibrillation (AF) is the most common perioperative arrhythmia.[11] However, little is known regarding the long‐term risks of ischemic stroke in patients who develop perioperative AF. This retrospective cohort study examined adults with no preexisting history of AF, hospitalized for surgery, and discharged free of cerebrovascular disease between 2007 and 2011 (n=1,729,360).

Findings

Of the eligible patients, 1.43% (95% CI: 1.41%‐1.45%) developed perioperative AF, and 0.81% (95% CI: 0.79%‐0.82%) had a stroke up to 1 year after discharge. Perioperative AF was associated with subsequent stroke after both cardiac (HR: 1.3; 95% CI: 1.1‐1.6) and noncardiac surgery (HR: 2; 95% CI: 1.7‐2.3). The association with stroke was stronger for perioperative AF after noncardiac versus cardiac surgery (P<0.001 for interaction).

Cautions

This is a retrospective cohort study, using claims data to identify AF and stroke. Data on duration of the perioperative AF episodes or use of antithrombotic therapies were not available.

Implications

The association found between perioperative AF and long‐term risk of ischemic stroke may suggest that perioperative AF, especially after noncardiac surgery, should be treated aggressively in terms of thromboembolic risk; however, further data will be required to validate this association.

Van Diepen S, Youngson E, Ezekowitz J, McAlister F. Which risk score best predicts perioperative outcomes in nonvalvular atrial fibrillation patients undergoing noncardiac surgery? Am Heart J. 2014;168(1):6067.

Background

Patients with nonvalvular AF (NVAF) are at increased risk for adverse perioperative outcomes after noncardiac surgery.[12] The RCRI is commonly used to predict perioperative cardiovascular events for all patients, including those with NVAF, though AF is not part of this risk assessment. The goal of this retrospective cohort study was to examine the prognostic utility of already existing NVAF risk indices, including the CHADS2 (Congestive heart failure, Hypertension, Age 75 years, Diabetes mellitus, prior stroke or transient ischemic attack), CHA2DS2‐VASc (Congestive heart failure; Hypertension; Age 75 years; Diabetes mellitus; Stroke, TIA, or thromboembolism [TE]; Vascular disease; Age 65 to 74 years; Sex category [female]), and R2CHADS2 (Renal dysfunction, Congestive heart failure, Hypertension, Age, Diabetes, Stroke/TIA) for perioperative outcomes in patients undergoing noncardiac surgery.

Findings

A population dataset of NVAF patients (n=32,160) who underwent noncardiac surgery was examined, with outcome measures including 30‐day mortality, stroke, TIA, or systemic embolism. The incidence of the 30‐day composite outcome was 4.2% and the C indices were 0.65 for the RCRI, 0.67 for CHADS2, 0.67 for CHA2DS2‐VASc, and 0.68 for R2CHADS2. The Net Reclassification Index (NRI), a measure evaluating the improvement in prediction performance gained by adding a marker to a set of baseline predictors, was calculated. All NVAF scores performed better than the RCRI for predicting mortality risk (NRI: 12.3%, 8.4%, and 13.3% respectively, all P<0.01).

Cautions

Patients in the highest risk category by RCRI appear to have an unadjusted higher 30‐day mortality risk (8%) than that predicted by the other 3 scores (5%, 5.6%, and 5%), indicating that these risk scores should not completely supplant the RCRI for risk stratification in this population. In addition, the overall improvement in predictive capacity of the CHADS2, CHA2DS2‐VASc, and R2CHADS2, although superior to the RCRI, is modest.

Implications

These findings indicate that the preoperative risk stratification for patients with NVAF can be improved by utilizing the CHADS2, CHA2DS2‐VASc, or R2CHADS2 scores when undergoing noncardiac surgery. For patients with NVAF identified as high risk for adverse outcomes, this assessment can be integrated into the preoperative discussion on the risks/benefits of surgery.

Steinberg BA, Peterson ED, Kim S, et al. Use and outcomes associated with bridging during anticoagulation interruptions in patients with atrial fibrillation: findings from the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT‐AF). Circulation. 2015;131:488494

Background

Oral anticoagulation (OAC) significantly reduces the risk of stroke in patients with AF. Many AF patients on long‐term anticoagulation undergo procedures requiring temporary interruption of OAC. Although guidelines have been published on when and how to initiate bridging therapy, they are based on observational data. Thus, it remains unclear which patients should receive bridging anticoagulation.

Findings

This is a US registry of outpatients with AF with temporary interruptions of OAC for a procedure. Of 7372 patients treated with OAC, 2803 overall interruption events occurred in 2200 patients (30%). Bridging anticoagulants were used in 24% (n=665). Bleeding events were more common in bridged than nonbridged patients (5.0% vs 1.3%; adjusted OR: 3.84; P<0.0001). The overall composite end point of myocardial infarction, stroke or systemic embolism, major bleeding, hospitalization, or death within 30 days was significantly higher in patients receiving bridging (13% vs 6.3%; adjusted OR: 1.94; P=0.0001). This statistically significant increase in the composite outcome, which includes cardiovascular events, is most likely in part secondary to inclusion of bleeding events. The recently published BRIDGE (Bridging Anticoagulation in Patients who Require Temporary Interruption of Warfarin Therapy for an Elective Invasive Procedure or Surgery) trial did not find a statistically significant difference in cardiovascular events between bridged and nonbridged patients.[13]

Cautions

Although patients who were bridged appear to have had more comorbidities and a higher mean CHADS2 score than patients who were not bridged, it is difficult to determine which population of patients may be high risk enough to warrant bridging, as indicated by current American College of Chest Physicians guidelines, as this was not evaluated in this study

Implications

The use of bridging anticoagulation was significantly associated with higher overall bleeding and adverse event rates. The BRIDGE trial also found that forgoing bridging anticoagulation decreased the risk of major bleeding in patients with AF and was noninferior to bridging for the prevention of arterial TE.[13]

References
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  7. Fleisher LA, Fleischmann KE, Auerbach AD, et al. American College of Cardiology; American Heart Association. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines. J Am Coll Cardiol. 2014;64(22):e77e137.
  8. Kristensen SD, Knuuti J, Saraste A, et al. 2014 ESC/ESA Guidelines on non‐cardiac surgery: cardiovascular assessment and management: The Joint Task Force on non‐cardiac surgery: cardiovascular assessment and management of the European Society of Cardiology (ESC) and the European Society of Anaesthesiology (ESA). Eur Heart J. 2014;35(35):2383431.
  9. Foucrier A, Rodseth R, Aissaoui M, et al. The long‐term impact of early cardiovascular therapy intensification for postoperative troponin elevation after major vascular surgery. Anesth Analg. 2014;119(5):10531063.
  10. Canet J, Gallart L, Gomar C, et al. ARISCAT Group: Prediction of postoperative pulmonary complications in a population‐based surgical cohort. Anesthesiology. 2010;113:13381350.
  11. Hollenberg SM, Dellinger RP. Noncardiac surgery: postoperative arrhythmias. Crit Care Med. 2000;28(10 suppl):N145N150.
  12. Bhave PD, Goldman LE, Vittinghoff E, et al. Incidence, predictors, and outcomes associated with postoperative atrial fibrillation after major cardiac surgery. Am Heart J. 2012;164(6):918924.
  13. Douketis JD, Spyropoulos AC, Kaatz S, et al. Perioperative bridging anticoagulation in patients with atrial fibrillation. N Engl J Med. 2015;373(9):823833.
References
  1. Lee T, Marcantonio E, Mangione C, et al. Derivation and prospective evaluation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation. 1999;100:10431049.
  2. Bilimoria KY, Liu Y, Paruch JL, et al. Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons. J Am Coll Surg. 2013;217(5):833842.
  3. Gupta PK, Gupta H, Sundaram A, et al. Development and validation of a risk calculator for prediction of cardiac risk after surgery. Circulation. 2011;124:381387.
  4. Poldermans D, Boersma E, Bax JJ, et al. The effect of bisoprolol on perioperative mortality and myocardial infarction in high‐risk patients undergoing vascular surgery. Dutch Echocardiographic Cardiac Risk Evaluation Applying Stress Echocardiography Study Group. N Engl J Med. 1999;341(24):17891794.
  5. Dunkelgrun M, Boersma E, Schouten O, et al; Dutch Echocardiographic Cardiac Risk Evaluation Applying Stress Echocardiography Study Group. Bisoprolol and fluvastatin for the reduction of perioperative cardiac mortality and myocardial infarction in intermediate‐risk patients undergoing noncardiovascular surgery: a randomized controlled trial (DECREASE‐IV). Ann Surg. 2009;249(6):921926.
  6. POISE Study Group, Devereaux PJ, Yang H, Yusuf S, et al. Effects of extended‐release metoprolol succinate in patients undergoing non‐cardiac surgery (POISE trial): a randomised controlled trial. Lancet. 2008;371(9627):18391847.
  7. Fleisher LA, Fleischmann KE, Auerbach AD, et al. American College of Cardiology; American Heart Association. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines. J Am Coll Cardiol. 2014;64(22):e77e137.
  8. Kristensen SD, Knuuti J, Saraste A, et al. 2014 ESC/ESA Guidelines on non‐cardiac surgery: cardiovascular assessment and management: The Joint Task Force on non‐cardiac surgery: cardiovascular assessment and management of the European Society of Cardiology (ESC) and the European Society of Anaesthesiology (ESA). Eur Heart J. 2014;35(35):2383431.
  9. Foucrier A, Rodseth R, Aissaoui M, et al. The long‐term impact of early cardiovascular therapy intensification for postoperative troponin elevation after major vascular surgery. Anesth Analg. 2014;119(5):10531063.
  10. Canet J, Gallart L, Gomar C, et al. ARISCAT Group: Prediction of postoperative pulmonary complications in a population‐based surgical cohort. Anesthesiology. 2010;113:13381350.
  11. Hollenberg SM, Dellinger RP. Noncardiac surgery: postoperative arrhythmias. Crit Care Med. 2000;28(10 suppl):N145N150.
  12. Bhave PD, Goldman LE, Vittinghoff E, et al. Incidence, predictors, and outcomes associated with postoperative atrial fibrillation after major cardiac surgery. Am Heart J. 2012;164(6):918924.
  13. Douketis JD, Spyropoulos AC, Kaatz S, et al. Perioperative bridging anticoagulation in patients with atrial fibrillation. N Engl J Med. 2015;373(9):823833.
Issue
Journal of Hospital Medicine - 11(3)
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Journal of Hospital Medicine - 11(3)
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231-236
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231-236
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Updates in perioperative medicine
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Updates in perioperative medicine
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© 2015 Society of Hospital Medicine
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Address for correspondence and reprint requests: Suparna Dutta, MD, Rush Medical College, 1717 W. Congress Pkwy, 1029 Kellogg, Chicago, IL 60612; Telephone: 312–942‐4200; Fax: 312–342‐3568; E‐mail: suparna_dutta@Rush.edu
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