COPD

Greater adherence to the Dietary Approaches to Stop Hypertension (DASH) diet was associated with a significantly reduced risk of chronic obstructive pulmonary disease (COPD) and improved lung function, based on data from more than 28,000 individuals in the United States.

Diet is a modifiable risk factor for COPD and other chronic diseases, but the effects of specific diet models such as the DASH diet and Mediterranean diet on COPD in particular has not been well studied, Jingli Wen, MD, of Nanjing Medical University, Jiangsu, China, and colleagues wrote.

In a study published in Frontiers in Nutrition, the researchers reviewed data from 28,605 adult participants in the National Health and Nutrition Examination Survey from 1999 to 2018.

The study population included 2,488 individuals with COPD participants and 25,607 individuals without COPD; the mean ages of the COPD and non-COPD groups were 60.2 years and 56.9 years, and the proportion of women was 63.7% and 51.4%, respectively. The primary outcome was the prevalence of COPD, defined as self-reports of a diagnosis of chronic bronchitis or emphysema. DASH diet scores were based on consumption of nine target nutrients: saturated fat, total fat, protein, cholesterol, fiber, magnesium, calcium, potassium, and sodium. Scores for compliance with the Mediterranean diet were based on intake of eight food categories: fruits, vegetables, legumes, fish, red meat, dairy products, alcohol, and olive oil.

Overall, a higher score for adherence to the DASH diet was significantly associated with a lower COPD risk (odds ratio, 0.83; P = .021). This association remained significant in subgroups of younger adults (OR, 0.74), men (OR, 0.73), and smokers (OR, 0.82).

By contrast, adherence to the Mediterranean diet was not significantly associated with COPD prevalence (OR, 1.03; P = .697).

The researchers also found a correlation between DASH diet adherence and improved lung function, especially among individuals without COPD. The risk of FEV₁: forced vital capacity decrease, as well as dyspnea, cough, and expectoration, were negatively associated with greater adherence to the DASH diet, but greater adherence to the Mediterranean diet was only negatively associated with cough risk.

The relationship between the DASH diet and reduced COPD risk persisted after adjusting for occupational exposure and excluding participants with cardiovascular disease, cancer, or diabetes.

The current study is the first known to focus on the association between DASH diet and the risk of COPD among adults in the United States, the researchers wrote. The lack of effect of the Mediterranean diet on COPD, in contrast to some studies in other countries, “suggests that regional differences in diet may affect the role of diet in the development of COPD.”

The study findings were limited by several factors including the cross-sectional design that prevented conclusions of causality, the researchers noted. Other limitations included the lack of data of the impact of poor living habits, such as smoking, on food decisions, the use of short-term 24-hour dietary recall, and the reliance of self-reports for a diagnosis of COPD.

However, the results support the role of diet in COPD pathogenesis and expand the knowledge of relationships between the DASH diet and major chronic diseases, the researchers said. More prospective studies and clinical intervention studies are needed, but the findings should encourage clinicians to consider the potential role of a healthy diet in promoting lung health.

The study was supported by the Department of Health, Jiangsu Province, China. The researchers had no financial conflicts to disclose.

Greater adherence to the Dietary Approaches to Stop Hypertension (DASH) diet was associated with a significantly reduced risk of chronic obstructive pulmonary disease (COPD) and improved lung function, based on data from more than 28,000 individuals in the United States.

Diet is a modifiable risk factor for COPD and other chronic diseases, but the effects of specific diet models such as the DASH diet and Mediterranean diet on COPD in particular has not been well studied, Jingli Wen, MD, of Nanjing Medical University, Jiangsu, China, and colleagues wrote.

In a study published in Frontiers in Nutrition, the researchers reviewed data from 28,605 adult participants in the National Health and Nutrition Examination Survey from 1999 to 2018.

The study population included 2,488 individuals with COPD participants and 25,607 individuals without COPD; the mean ages of the COPD and non-COPD groups were 60.2 years and 56.9 years, and the proportion of women was 63.7% and 51.4%, respectively. The primary outcome was the prevalence of COPD, defined as self-reports of a diagnosis of chronic bronchitis or emphysema. DASH diet scores were based on consumption of nine target nutrients: saturated fat, total fat, protein, cholesterol, fiber, magnesium, calcium, potassium, and sodium. Scores for compliance with the Mediterranean diet were based on intake of eight food categories: fruits, vegetables, legumes, fish, red meat, dairy products, alcohol, and olive oil.

Overall, a higher score for adherence to the DASH diet was significantly associated with a lower COPD risk (odds ratio, 0.83; P = .021). This association remained significant in subgroups of younger adults (OR, 0.74), men (OR, 0.73), and smokers (OR, 0.82).

By contrast, adherence to the Mediterranean diet was not significantly associated with COPD prevalence (OR, 1.03; P = .697).

The researchers also found a correlation between DASH diet adherence and improved lung function, especially among individuals without COPD. The risk of FEV₁: forced vital capacity decrease, as well as dyspnea, cough, and expectoration, were negatively associated with greater adherence to the DASH diet, but greater adherence to the Mediterranean diet was only negatively associated with cough risk.

The relationship between the DASH diet and reduced COPD risk persisted after adjusting for occupational exposure and excluding participants with cardiovascular disease, cancer, or diabetes.

The current study is the first known to focus on the association between DASH diet and the risk of COPD among adults in the United States, the researchers wrote. The lack of effect of the Mediterranean diet on COPD, in contrast to some studies in other countries, “suggests that regional differences in diet may affect the role of diet in the development of COPD.”

The study findings were limited by several factors including the cross-sectional design that prevented conclusions of causality, the researchers noted. Other limitations included the lack of data of the impact of poor living habits, such as smoking, on food decisions, the use of short-term 24-hour dietary recall, and the reliance of self-reports for a diagnosis of COPD.

However, the results support the role of diet in COPD pathogenesis and expand the knowledge of relationships between the DASH diet and major chronic diseases, the researchers said. More prospective studies and clinical intervention studies are needed, but the findings should encourage clinicians to consider the potential role of a healthy diet in promoting lung health.

The study was supported by the Department of Health, Jiangsu Province, China. The researchers had no financial conflicts to disclose.

Greater adherence to the Dietary Approaches to Stop Hypertension (DASH) diet was associated with a significantly reduced risk of chronic obstructive pulmonary disease (COPD) and improved lung function, based on data from more than 28,000 individuals in the United States.

Diet is a modifiable risk factor for COPD and other chronic diseases, but the effects of specific diet models such as the DASH diet and Mediterranean diet on COPD in particular has not been well studied, Jingli Wen, MD, of Nanjing Medical University, Jiangsu, China, and colleagues wrote.

In a study published in Frontiers in Nutrition, the researchers reviewed data from 28,605 adult participants in the National Health and Nutrition Examination Survey from 1999 to 2018.

The study population included 2,488 individuals with COPD participants and 25,607 individuals without COPD; the mean ages of the COPD and non-COPD groups were 60.2 years and 56.9 years, and the proportion of women was 63.7% and 51.4%, respectively. The primary outcome was the prevalence of COPD, defined as self-reports of a diagnosis of chronic bronchitis or emphysema. DASH diet scores were based on consumption of nine target nutrients: saturated fat, total fat, protein, cholesterol, fiber, magnesium, calcium, potassium, and sodium. Scores for compliance with the Mediterranean diet were based on intake of eight food categories: fruits, vegetables, legumes, fish, red meat, dairy products, alcohol, and olive oil.

Overall, a higher score for adherence to the DASH diet was significantly associated with a lower COPD risk (odds ratio, 0.83; P = .021). This association remained significant in subgroups of younger adults (OR, 0.74), men (OR, 0.73), and smokers (OR, 0.82).

By contrast, adherence to the Mediterranean diet was not significantly associated with COPD prevalence (OR, 1.03; P = .697).

The researchers also found a correlation between DASH diet adherence and improved lung function, especially among individuals without COPD. The risk of FEV₁: forced vital capacity decrease, as well as dyspnea, cough, and expectoration, were negatively associated with greater adherence to the DASH diet, but greater adherence to the Mediterranean diet was only negatively associated with cough risk.

The relationship between the DASH diet and reduced COPD risk persisted after adjusting for occupational exposure and excluding participants with cardiovascular disease, cancer, or diabetes.

The current study is the first known to focus on the association between DASH diet and the risk of COPD among adults in the United States, the researchers wrote. The lack of effect of the Mediterranean diet on COPD, in contrast to some studies in other countries, “suggests that regional differences in diet may affect the role of diet in the development of COPD.”

The study findings were limited by several factors including the cross-sectional design that prevented conclusions of causality, the researchers noted. Other limitations included the lack of data of the impact of poor living habits, such as smoking, on food decisions, the use of short-term 24-hour dietary recall, and the reliance of self-reports for a diagnosis of COPD.

However, the results support the role of diet in COPD pathogenesis and expand the knowledge of relationships between the DASH diet and major chronic diseases, the researchers said. More prospective studies and clinical intervention studies are needed, but the findings should encourage clinicians to consider the potential role of a healthy diet in promoting lung health.

The study was supported by the Department of Health, Jiangsu Province, China. The researchers had no financial conflicts to disclose.

Both asthma and chronic obstructive pulmonary disease can be challenging to diagnose, and medication-driven episodes of sedation or hypoventilation are often overlooked as causes of acute exacerbations in these conditions, according to a letter published in The Lancet Respiratory Medicine.

“We are concerned about the number of patients we have seen with asthma or chronic obstructive pulmonary disease (COPD) exacerbations who have been prescribed sedative medications,” write Christos V. Chalitsios, PhD, of the University of Nottingham, England, and colleagues.

The authors note that exacerbations are the main complications of both asthma and COPD, and stress the importance of identifying causes and preventive strategies.

Sedatives such as opioids have been shown to depress respiratory drive, reduce muscle tone, and increase the risk of pneumonia, they write. The authors also propose that the risk of sedative-induced aspiration or hypoventilation would be associated with medications including pregabalin, gabapentin, and amitriptyline.

Other mechanisms may be involved in the association between sedatives and exacerbations in asthma and COPD. For example, sedative medications can suppress coughing, which may promote airway mucous compaction and possible infection, the authors write.

Most research involving prevention of asthma and COPD exacerbations has not addressed the potential impact of sedatives taken for reasons outside of obstructive lung disease, the authors say.

“Although the risk of sedation and hypoventilation events are known to be increased by opioids and antipsychotic drugs, there has not been a systematic assessment of commonly prescribed medications with potential respiratory side-effects, including gabapentin, amitriptyline, and pregabalin,” they write.

Polypharmacy is increasingly common and results in many patients with asthma or COPD presenting for treatment of acute exacerbations while on a combination of gabapentin, pregabalin, amitriptyline, and opioids, the authors note; “however, there is little data or disease-specific guidance on how best to manage this problem, which often starts with a prescription in primary care,” they write. Simply stopping sedatives is not an option for many patients given the addictive nature of these drugs and the unlikely resolution of the condition for which the drugs were prescribed, the authors say. However, “cautious dose reduction” of sedatives is possible once patients understand the reason, they add.

Clinicians may be able to suggest reduced doses and alternative treatments to patients with asthma and COPD while highlighting the risk of respiratory depression and polypharmacy – “potentially reducing the number of exacerbations of obstructive lung disease,” the authors conclude.

The study received no outside funding. The authors have disclosed no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Both asthma and chronic obstructive pulmonary disease can be challenging to diagnose, and medication-driven episodes of sedation or hypoventilation are often overlooked as causes of acute exacerbations in these conditions, according to a letter published in The Lancet Respiratory Medicine.

“We are concerned about the number of patients we have seen with asthma or chronic obstructive pulmonary disease (COPD) exacerbations who have been prescribed sedative medications,” write Christos V. Chalitsios, PhD, of the University of Nottingham, England, and colleagues.

The authors note that exacerbations are the main complications of both asthma and COPD, and stress the importance of identifying causes and preventive strategies.

Sedatives such as opioids have been shown to depress respiratory drive, reduce muscle tone, and increase the risk of pneumonia, they write. The authors also propose that the risk of sedative-induced aspiration or hypoventilation would be associated with medications including pregabalin, gabapentin, and amitriptyline.

Other mechanisms may be involved in the association between sedatives and exacerbations in asthma and COPD. For example, sedative medications can suppress coughing, which may promote airway mucous compaction and possible infection, the authors write.

Most research involving prevention of asthma and COPD exacerbations has not addressed the potential impact of sedatives taken for reasons outside of obstructive lung disease, the authors say.

“Although the risk of sedation and hypoventilation events are known to be increased by opioids and antipsychotic drugs, there has not been a systematic assessment of commonly prescribed medications with potential respiratory side-effects, including gabapentin, amitriptyline, and pregabalin,” they write.

Polypharmacy is increasingly common and results in many patients with asthma or COPD presenting for treatment of acute exacerbations while on a combination of gabapentin, pregabalin, amitriptyline, and opioids, the authors note; “however, there is little data or disease-specific guidance on how best to manage this problem, which often starts with a prescription in primary care,” they write. Simply stopping sedatives is not an option for many patients given the addictive nature of these drugs and the unlikely resolution of the condition for which the drugs were prescribed, the authors say. However, “cautious dose reduction” of sedatives is possible once patients understand the reason, they add.

Clinicians may be able to suggest reduced doses and alternative treatments to patients with asthma and COPD while highlighting the risk of respiratory depression and polypharmacy – “potentially reducing the number of exacerbations of obstructive lung disease,” the authors conclude.

The study received no outside funding. The authors have disclosed no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Both asthma and chronic obstructive pulmonary disease can be challenging to diagnose, and medication-driven episodes of sedation or hypoventilation are often overlooked as causes of acute exacerbations in these conditions, according to a letter published in The Lancet Respiratory Medicine.

“We are concerned about the number of patients we have seen with asthma or chronic obstructive pulmonary disease (COPD) exacerbations who have been prescribed sedative medications,” write Christos V. Chalitsios, PhD, of the University of Nottingham, England, and colleagues.

The authors note that exacerbations are the main complications of both asthma and COPD, and stress the importance of identifying causes and preventive strategies.

Sedatives such as opioids have been shown to depress respiratory drive, reduce muscle tone, and increase the risk of pneumonia, they write. The authors also propose that the risk of sedative-induced aspiration or hypoventilation would be associated with medications including pregabalin, gabapentin, and amitriptyline.

Other mechanisms may be involved in the association between sedatives and exacerbations in asthma and COPD. For example, sedative medications can suppress coughing, which may promote airway mucous compaction and possible infection, the authors write.

Most research involving prevention of asthma and COPD exacerbations has not addressed the potential impact of sedatives taken for reasons outside of obstructive lung disease, the authors say.

“Although the risk of sedation and hypoventilation events are known to be increased by opioids and antipsychotic drugs, there has not been a systematic assessment of commonly prescribed medications with potential respiratory side-effects, including gabapentin, amitriptyline, and pregabalin,” they write.

Polypharmacy is increasingly common and results in many patients with asthma or COPD presenting for treatment of acute exacerbations while on a combination of gabapentin, pregabalin, amitriptyline, and opioids, the authors note; “however, there is little data or disease-specific guidance on how best to manage this problem, which often starts with a prescription in primary care,” they write. Simply stopping sedatives is not an option for many patients given the addictive nature of these drugs and the unlikely resolution of the condition for which the drugs were prescribed, the authors say. However, “cautious dose reduction” of sedatives is possible once patients understand the reason, they add.

Clinicians may be able to suggest reduced doses and alternative treatments to patients with asthma and COPD while highlighting the risk of respiratory depression and polypharmacy – “potentially reducing the number of exacerbations of obstructive lung disease,” the authors conclude.

The study received no outside funding. The authors have disclosed no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Individuals diagnosed with a severe physical health condition were significantly more likely to commit suicide at 6 months and at 1 year later, based on data from more than 47 million individuals in a national database.

Previous smaller studies have shown a link between increased risk for suicide and a range of health conditions including cancer, coronary heart disease, neurologic conditions, diabetes, and osteoporosis, Vahé Nafilyan, PhD, of the Office for National Statistics, Newport, England, and colleagues wrote.

However, large-scale population-level studies of the association between specific diagnoses and suicide are lacking, they said.

In a study published in The Lancet Regional Health–Europe, the researchers reviewed a dataset that combined the 2011 Census, death registration records, and the Hospital Episode Statistics. The study population included 47,354,696 individuals aged 6 years and older living in England in 2017. The mean age of the study population was 39.6 years, and 52% were female. The researchers examined deaths that occurred between Jan. 1, 2017, and Dec. 31, 2021.

The primary outcome was the time from the date of a diagnosis or first treatment of a severe physical health condition to a death by suicide. The health conditions included in the analysis were low-survival cancers, chronic ischemic heart disease, chronic obstructive pulmonary disease, and degenerative neurological disease.

The diagnosis of any of these conditions significantly increased the risk for suicide compared with controls. The highest risk appeared within 6 months of a diagnosis or first treatment, but the increased risk persisted at 1 year.

The suicide rate among low-survival cancer patients was 16.6 per 100,000 patients, compared with 5.7 per 100,000 controls; at 1 year, these rates were 21.6 and 9.5 per 100,000 patients and controls, respectively.

For COPD patients, the suicide rate at 6 months after diagnosis was 13.7 per 100,000 patients versus 5.6 per 100,000 matched controls; the suicide rates at 1 year were 22.4 per 100,000 patients and 10.6 per 100,000 matched controls.

The suicide rate at 6 months for individuals diagnosed with chronic ischemic heart disease was 11.0 per 100,000 patients and 4.2 per 100,000 matched controls; at 1 year, the suicide rates were 16.1 per 100,000 patients and 8.8 per 100,000 matched controls.

The 1-year suicide rate was especially high among patients with degenerative neurological conditions (114.5 per 100,000 patients); however, the estimate was considered imprecise because of the rarity of these diseases and subsequent low number of suicides, the researchers noted.

The results support data from previous studies showing links between increased risk of suicide and severe physical conditions, the researchers wrote. Patterns of suicide were similar between men and women and after adjusting for sociodemographic factors.

The findings were limited by the inability to fully control for a history of depression or self-harm, and by the imprecise estimates given the rare occurrence of suicide overall, the researchers noted. Other limitations included the late registration of deaths from external causes and the focus only on suicides that occurred in England and Wales, meaning that individuals who traveled abroad for assisted suicide were not captured in the dataset.

“Further research is needed to understand the mechanisms driving the elevated risk of suicide and help provide the best support to these patients,” the researchers concluded.

However, the current results enhance the literature with a large, population-based review of the elevated suicide risk among individuals newly diagnosed with severe health conditions, and reflect the need for better support for these patients to help with coping, they said.

The study was funded by the Office for National Statistics. The researchers reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Individuals diagnosed with a severe physical health condition were significantly more likely to commit suicide at 6 months and at 1 year later, based on data from more than 47 million individuals in a national database.

Previous smaller studies have shown a link between increased risk for suicide and a range of health conditions including cancer, coronary heart disease, neurologic conditions, diabetes, and osteoporosis, Vahé Nafilyan, PhD, of the Office for National Statistics, Newport, England, and colleagues wrote.

However, large-scale population-level studies of the association between specific diagnoses and suicide are lacking, they said.

In a study published in The Lancet Regional Health–Europe, the researchers reviewed a dataset that combined the 2011 Census, death registration records, and the Hospital Episode Statistics. The study population included 47,354,696 individuals aged 6 years and older living in England in 2017. The mean age of the study population was 39.6 years, and 52% were female. The researchers examined deaths that occurred between Jan. 1, 2017, and Dec. 31, 2021.

The primary outcome was the time from the date of a diagnosis or first treatment of a severe physical health condition to a death by suicide. The health conditions included in the analysis were low-survival cancers, chronic ischemic heart disease, chronic obstructive pulmonary disease, and degenerative neurological disease.

The diagnosis of any of these conditions significantly increased the risk for suicide compared with controls. The highest risk appeared within 6 months of a diagnosis or first treatment, but the increased risk persisted at 1 year.

The suicide rate among low-survival cancer patients was 16.6 per 100,000 patients, compared with 5.7 per 100,000 controls; at 1 year, these rates were 21.6 and 9.5 per 100,000 patients and controls, respectively.

For COPD patients, the suicide rate at 6 months after diagnosis was 13.7 per 100,000 patients versus 5.6 per 100,000 matched controls; the suicide rates at 1 year were 22.4 per 100,000 patients and 10.6 per 100,000 matched controls.

The suicide rate at 6 months for individuals diagnosed with chronic ischemic heart disease was 11.0 per 100,000 patients and 4.2 per 100,000 matched controls; at 1 year, the suicide rates were 16.1 per 100,000 patients and 8.8 per 100,000 matched controls.

The 1-year suicide rate was especially high among patients with degenerative neurological conditions (114.5 per 100,000 patients); however, the estimate was considered imprecise because of the rarity of these diseases and subsequent low number of suicides, the researchers noted.

The results support data from previous studies showing links between increased risk of suicide and severe physical conditions, the researchers wrote. Patterns of suicide were similar between men and women and after adjusting for sociodemographic factors.

The findings were limited by the inability to fully control for a history of depression or self-harm, and by the imprecise estimates given the rare occurrence of suicide overall, the researchers noted. Other limitations included the late registration of deaths from external causes and the focus only on suicides that occurred in England and Wales, meaning that individuals who traveled abroad for assisted suicide were not captured in the dataset.

“Further research is needed to understand the mechanisms driving the elevated risk of suicide and help provide the best support to these patients,” the researchers concluded.

However, the current results enhance the literature with a large, population-based review of the elevated suicide risk among individuals newly diagnosed with severe health conditions, and reflect the need for better support for these patients to help with coping, they said.

The study was funded by the Office for National Statistics. The researchers reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Individuals diagnosed with a severe physical health condition were significantly more likely to commit suicide at 6 months and at 1 year later, based on data from more than 47 million individuals in a national database.

Previous smaller studies have shown a link between increased risk for suicide and a range of health conditions including cancer, coronary heart disease, neurologic conditions, diabetes, and osteoporosis, Vahé Nafilyan, PhD, of the Office for National Statistics, Newport, England, and colleagues wrote.

However, large-scale population-level studies of the association between specific diagnoses and suicide are lacking, they said.

In a study published in The Lancet Regional Health–Europe, the researchers reviewed a dataset that combined the 2011 Census, death registration records, and the Hospital Episode Statistics. The study population included 47,354,696 individuals aged 6 years and older living in England in 2017. The mean age of the study population was 39.6 years, and 52% were female. The researchers examined deaths that occurred between Jan. 1, 2017, and Dec. 31, 2021.

The primary outcome was the time from the date of a diagnosis or first treatment of a severe physical health condition to a death by suicide. The health conditions included in the analysis were low-survival cancers, chronic ischemic heart disease, chronic obstructive pulmonary disease, and degenerative neurological disease.

The diagnosis of any of these conditions significantly increased the risk for suicide compared with controls. The highest risk appeared within 6 months of a diagnosis or first treatment, but the increased risk persisted at 1 year.

The suicide rate among low-survival cancer patients was 16.6 per 100,000 patients, compared with 5.7 per 100,000 controls; at 1 year, these rates were 21.6 and 9.5 per 100,000 patients and controls, respectively.

For COPD patients, the suicide rate at 6 months after diagnosis was 13.7 per 100,000 patients versus 5.6 per 100,000 matched controls; the suicide rates at 1 year were 22.4 per 100,000 patients and 10.6 per 100,000 matched controls.

The suicide rate at 6 months for individuals diagnosed with chronic ischemic heart disease was 11.0 per 100,000 patients and 4.2 per 100,000 matched controls; at 1 year, the suicide rates were 16.1 per 100,000 patients and 8.8 per 100,000 matched controls.

The 1-year suicide rate was especially high among patients with degenerative neurological conditions (114.5 per 100,000 patients); however, the estimate was considered imprecise because of the rarity of these diseases and subsequent low number of suicides, the researchers noted.

The results support data from previous studies showing links between increased risk of suicide and severe physical conditions, the researchers wrote. Patterns of suicide were similar between men and women and after adjusting for sociodemographic factors.

The findings were limited by the inability to fully control for a history of depression or self-harm, and by the imprecise estimates given the rare occurrence of suicide overall, the researchers noted. Other limitations included the late registration of deaths from external causes and the focus only on suicides that occurred in England and Wales, meaning that individuals who traveled abroad for assisted suicide were not captured in the dataset.

“Further research is needed to understand the mechanisms driving the elevated risk of suicide and help provide the best support to these patients,” the researchers concluded.

However, the current results enhance the literature with a large, population-based review of the elevated suicide risk among individuals newly diagnosed with severe health conditions, and reflect the need for better support for these patients to help with coping, they said.

The study was funded by the Office for National Statistics. The researchers reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Patients with chronic obstructive pulmonary disease (COPD) are more likely to die within a year of undergoing elective surgery and to incur higher health care costs than are similar patients without COPD, data suggest.

An analysis of close to a million patient records found that, after adjustment for sociodemographic factors, procedure type, and comorbidities, patients with COPD were 26% more likely to die in the year after surgery than were those without COPD. Moreover, COPD was associated with a 4.6% increase in health care costs.

Previous studies have evaluated outcomes for the first 30 days after surgery. Those data “may not adequately capture the overall burden of surgery and how long it may take patients to recover,” study author Ashwin Sankar, MD, a clinician-investigator at St. Michael’s Hospital and assistant professor of anesthesia at the University of Toronto, told this news organization.

“We found that COPD often coexists with other conditions, like diabetes, coronary artery disease, and frailty,” Dr. Sankar added. “We would suggest that clinicians use COPD as a flag for other conditions to ensure that all modifiable risk factors are optimized prior to surgery.”

The study was published online in the Canadian Medical Association Journal.
 

Additional recovery support

The authors analyzed data from 932,616 patients who underwent intermediate-risk to high-risk elective noncardiac surgeries from 2005 to 2019 in Ontario. Procedures included carotid endarterectomy, open or endovascular abdominal aortic aneurysm repair, peripheral arterial bypass, total hip replacement, total knee replacement, shoulder surgery, large-bowel surgery, partial liver resection, pancreaticoduodenectomy, gastrectomy, esophagectomy, nephrectomy, cystectomy, prostatectomy, and hysterectomy.

The researchers quantified the associations of COPD with survival and costs. Their analyses included partial adjustment for sociodemographic factors and procedure type and full adjustment, which included comorbidities.

The primary outcome was all-cause death in the year after surgery; the secondary outcome was total health care costs in that year.

The mean age of the population was 65 years, and 60% of patients were women. A total of 170,482 (18%) patients had COPD. Compared with those without COPD, the patients with COPD were older and were more likely to be male, to be in a lower income quintile, to be residents of long-term care facilities, and to have been admitted to the hospital before surgery. They were also more likely to have comorbidities, including coronary artery disease, heart failure, and lung cancer.

A larger proportion of patients with COPD had frailty and medium to high comorbidity. They also more frequently underwent orthopedic, open upper abdominal, and vascular surgery.

During the year after surgery, 52,021 (5.6%) patients died, including 18,007 (10.6%) with COPD and 34,014 (4.5%) without. Those with COPD were more likely to die within 30 days of surgery (3.4% vs 1.2%).

For patients with COPD, the partially adjusted hazard ratio (HR) was 1.61 for risk of death; the fully adjusted HR was 1.26. COPD also was associated with a partially adjusted relative increase of 13.1% in health care costs and an increase of 4.6% with full adjustment.

Frailty, cancer, and procedure type were factors that modified the association between COPD and outcomes. “Procedures such as open aortic and upper abdominal surgery are associated with higher postoperative risks irrespective of COPD status, whereas others, such as orthopedic and lower abdominal surgery, may be of significantly greater risk for patients with COPD,” the authors wrote. “Our results suggest that perioperative management of patients with COPD requires careful consideration of the multiple domains that contribute to their elevated perioperative risk.

“Our finding that patients with COPD are at risk beyond 30 days after surgery suggests that it may be worthwhile to additionally support these patients’ recovery well beyond the first month after the procedure,” said Dr. Sankar.
 

Shared decision-making

Commenting on the study, William Whalen, MD, a pulmonary critical care specialist at Weill Cornell Medicine in New York, said, “I echo the authors’ sentiments that these findings highlight how chronically ill COPD patients are, which may be playing a role in the elevated mortality seen in this study.”

One caveat is in regard to the interpretation of the interaction effects of the study, he said. “Clinicians are unlikely to send patients who are frail or have multiple comorbidities to overly complex surgeries. Therefore, these effects may be misestimated due to selection bias.”

Two questions remain after reading the study, he added. “The first is how the degree of obstruction (i.e., the severity of COPD) impacts long-term mortality. Previous observational studies in nonsurgical COPD patients have shown increased mortality as the severity of obstruction increases. The second is how much of the long-term mortality observed in this study is related to respiratory disease from COPD. Patients with COPD are complex, and many die from nonrespiratory-related causes.”

Dr. Whalen suggests that discussion be held with the surgical team about the long-term morbidity and mortality with and without surgical intervention. Such a discussion could inform a shared decision-making process with the patient.

“Some procedures may be necessary to reduce immediate mortality, such as aortic aneurysmal repair, so [the risk of] longer-term mortality may be more acceptable in this setting,” he said. “Less straightforward are procedures that may improve quality of life. Would a patient accept an increased long-term mortality [risk] if that meant living without orthopedic-related pain?”

The study was funded by the Government of Ontario. Dr. Sankar and Dr. Whalen have disclosed no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Patients with chronic obstructive pulmonary disease (COPD) are more likely to die within a year of undergoing elective surgery and to incur higher health care costs than are similar patients without COPD, data suggest.

An analysis of close to a million patient records found that, after adjustment for sociodemographic factors, procedure type, and comorbidities, patients with COPD were 26% more likely to die in the year after surgery than were those without COPD. Moreover, COPD was associated with a 4.6% increase in health care costs.

Previous studies have evaluated outcomes for the first 30 days after surgery. Those data “may not adequately capture the overall burden of surgery and how long it may take patients to recover,” study author Ashwin Sankar, MD, a clinician-investigator at St. Michael’s Hospital and assistant professor of anesthesia at the University of Toronto, told this news organization.

“We found that COPD often coexists with other conditions, like diabetes, coronary artery disease, and frailty,” Dr. Sankar added. “We would suggest that clinicians use COPD as a flag for other conditions to ensure that all modifiable risk factors are optimized prior to surgery.”

The study was published online in the Canadian Medical Association Journal.
 

Additional recovery support

The authors analyzed data from 932,616 patients who underwent intermediate-risk to high-risk elective noncardiac surgeries from 2005 to 2019 in Ontario. Procedures included carotid endarterectomy, open or endovascular abdominal aortic aneurysm repair, peripheral arterial bypass, total hip replacement, total knee replacement, shoulder surgery, large-bowel surgery, partial liver resection, pancreaticoduodenectomy, gastrectomy, esophagectomy, nephrectomy, cystectomy, prostatectomy, and hysterectomy.

The researchers quantified the associations of COPD with survival and costs. Their analyses included partial adjustment for sociodemographic factors and procedure type and full adjustment, which included comorbidities.

The primary outcome was all-cause death in the year after surgery; the secondary outcome was total health care costs in that year.

The mean age of the population was 65 years, and 60% of patients were women. A total of 170,482 (18%) patients had COPD. Compared with those without COPD, the patients with COPD were older and were more likely to be male, to be in a lower income quintile, to be residents of long-term care facilities, and to have been admitted to the hospital before surgery. They were also more likely to have comorbidities, including coronary artery disease, heart failure, and lung cancer.

A larger proportion of patients with COPD had frailty and medium to high comorbidity. They also more frequently underwent orthopedic, open upper abdominal, and vascular surgery.

During the year after surgery, 52,021 (5.6%) patients died, including 18,007 (10.6%) with COPD and 34,014 (4.5%) without. Those with COPD were more likely to die within 30 days of surgery (3.4% vs 1.2%).

For patients with COPD, the partially adjusted hazard ratio (HR) was 1.61 for risk of death; the fully adjusted HR was 1.26. COPD also was associated with a partially adjusted relative increase of 13.1% in health care costs and an increase of 4.6% with full adjustment.

Frailty, cancer, and procedure type were factors that modified the association between COPD and outcomes. “Procedures such as open aortic and upper abdominal surgery are associated with higher postoperative risks irrespective of COPD status, whereas others, such as orthopedic and lower abdominal surgery, may be of significantly greater risk for patients with COPD,” the authors wrote. “Our results suggest that perioperative management of patients with COPD requires careful consideration of the multiple domains that contribute to their elevated perioperative risk.

“Our finding that patients with COPD are at risk beyond 30 days after surgery suggests that it may be worthwhile to additionally support these patients’ recovery well beyond the first month after the procedure,” said Dr. Sankar.
 

Shared decision-making

Commenting on the study, William Whalen, MD, a pulmonary critical care specialist at Weill Cornell Medicine in New York, said, “I echo the authors’ sentiments that these findings highlight how chronically ill COPD patients are, which may be playing a role in the elevated mortality seen in this study.”

One caveat is in regard to the interpretation of the interaction effects of the study, he said. “Clinicians are unlikely to send patients who are frail or have multiple comorbidities to overly complex surgeries. Therefore, these effects may be misestimated due to selection bias.”

Two questions remain after reading the study, he added. “The first is how the degree of obstruction (i.e., the severity of COPD) impacts long-term mortality. Previous observational studies in nonsurgical COPD patients have shown increased mortality as the severity of obstruction increases. The second is how much of the long-term mortality observed in this study is related to respiratory disease from COPD. Patients with COPD are complex, and many die from nonrespiratory-related causes.”

Dr. Whalen suggests that discussion be held with the surgical team about the long-term morbidity and mortality with and without surgical intervention. Such a discussion could inform a shared decision-making process with the patient.

“Some procedures may be necessary to reduce immediate mortality, such as aortic aneurysmal repair, so [the risk of] longer-term mortality may be more acceptable in this setting,” he said. “Less straightforward are procedures that may improve quality of life. Would a patient accept an increased long-term mortality [risk] if that meant living without orthopedic-related pain?”

The study was funded by the Government of Ontario. Dr. Sankar and Dr. Whalen have disclosed no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Patients with chronic obstructive pulmonary disease (COPD) are more likely to die within a year of undergoing elective surgery and to incur higher health care costs than are similar patients without COPD, data suggest.

An analysis of close to a million patient records found that, after adjustment for sociodemographic factors, procedure type, and comorbidities, patients with COPD were 26% more likely to die in the year after surgery than were those without COPD. Moreover, COPD was associated with a 4.6% increase in health care costs.

Previous studies have evaluated outcomes for the first 30 days after surgery. Those data “may not adequately capture the overall burden of surgery and how long it may take patients to recover,” study author Ashwin Sankar, MD, a clinician-investigator at St. Michael’s Hospital and assistant professor of anesthesia at the University of Toronto, told this news organization.

“We found that COPD often coexists with other conditions, like diabetes, coronary artery disease, and frailty,” Dr. Sankar added. “We would suggest that clinicians use COPD as a flag for other conditions to ensure that all modifiable risk factors are optimized prior to surgery.”

The study was published online in the Canadian Medical Association Journal.
 

Additional recovery support

The authors analyzed data from 932,616 patients who underwent intermediate-risk to high-risk elective noncardiac surgeries from 2005 to 2019 in Ontario. Procedures included carotid endarterectomy, open or endovascular abdominal aortic aneurysm repair, peripheral arterial bypass, total hip replacement, total knee replacement, shoulder surgery, large-bowel surgery, partial liver resection, pancreaticoduodenectomy, gastrectomy, esophagectomy, nephrectomy, cystectomy, prostatectomy, and hysterectomy.

The researchers quantified the associations of COPD with survival and costs. Their analyses included partial adjustment for sociodemographic factors and procedure type and full adjustment, which included comorbidities.

The primary outcome was all-cause death in the year after surgery; the secondary outcome was total health care costs in that year.

The mean age of the population was 65 years, and 60% of patients were women. A total of 170,482 (18%) patients had COPD. Compared with those without COPD, the patients with COPD were older and were more likely to be male, to be in a lower income quintile, to be residents of long-term care facilities, and to have been admitted to the hospital before surgery. They were also more likely to have comorbidities, including coronary artery disease, heart failure, and lung cancer.

A larger proportion of patients with COPD had frailty and medium to high comorbidity. They also more frequently underwent orthopedic, open upper abdominal, and vascular surgery.

During the year after surgery, 52,021 (5.6%) patients died, including 18,007 (10.6%) with COPD and 34,014 (4.5%) without. Those with COPD were more likely to die within 30 days of surgery (3.4% vs 1.2%).

For patients with COPD, the partially adjusted hazard ratio (HR) was 1.61 for risk of death; the fully adjusted HR was 1.26. COPD also was associated with a partially adjusted relative increase of 13.1% in health care costs and an increase of 4.6% with full adjustment.

Frailty, cancer, and procedure type were factors that modified the association between COPD and outcomes. “Procedures such as open aortic and upper abdominal surgery are associated with higher postoperative risks irrespective of COPD status, whereas others, such as orthopedic and lower abdominal surgery, may be of significantly greater risk for patients with COPD,” the authors wrote. “Our results suggest that perioperative management of patients with COPD requires careful consideration of the multiple domains that contribute to their elevated perioperative risk.

“Our finding that patients with COPD are at risk beyond 30 days after surgery suggests that it may be worthwhile to additionally support these patients’ recovery well beyond the first month after the procedure,” said Dr. Sankar.
 

Shared decision-making

Commenting on the study, William Whalen, MD, a pulmonary critical care specialist at Weill Cornell Medicine in New York, said, “I echo the authors’ sentiments that these findings highlight how chronically ill COPD patients are, which may be playing a role in the elevated mortality seen in this study.”

One caveat is in regard to the interpretation of the interaction effects of the study, he said. “Clinicians are unlikely to send patients who are frail or have multiple comorbidities to overly complex surgeries. Therefore, these effects may be misestimated due to selection bias.”

Two questions remain after reading the study, he added. “The first is how the degree of obstruction (i.e., the severity of COPD) impacts long-term mortality. Previous observational studies in nonsurgical COPD patients have shown increased mortality as the severity of obstruction increases. The second is how much of the long-term mortality observed in this study is related to respiratory disease from COPD. Patients with COPD are complex, and many die from nonrespiratory-related causes.”

Dr. Whalen suggests that discussion be held with the surgical team about the long-term morbidity and mortality with and without surgical intervention. Such a discussion could inform a shared decision-making process with the patient.

“Some procedures may be necessary to reduce immediate mortality, such as aortic aneurysmal repair, so [the risk of] longer-term mortality may be more acceptable in this setting,” he said. “Less straightforward are procedures that may improve quality of life. Would a patient accept an increased long-term mortality [risk] if that meant living without orthopedic-related pain?”

The study was funded by the Government of Ontario. Dr. Sankar and Dr. Whalen have disclosed no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Clinical guidelines recommend use of exacerbation history in choosing therapies to predict the risk for chronic obstructive pulmonary disease exacerbations, but an analysis of data from three different clinical studies has found that exacerbation history alone is not the most accurate risk-prediction tool – and that it may even cause harm in some situations.

“Our results present a cautionary tale for the potential risk of harm to patients when naively applying risk stratification algorithms across different clinical settings,” lead author Joseph Khoa Ho, PharmD, a master’s candidate in pharmaceutical sciences at the University of British Columbia, Vancouver, told this news organization.

“We show that risk-prediction models have better accuracy than exacerbation history alone for predicting the future risk of COPD exacerbations,” he said. “However, the prediction models required re-evaluation and setting-specific recalibration in order to yield higher clinical utility.”

The study, known as IMPACT, analyzed three trials that enrolled 4,107 patients at varying levels of moderate or severe exacerbation risks: the placebo arm of the Study to Understand Mortality and Morbidity in COPD (SUMMIT; N = 2,421); the Long-term Oxygen Treatment Trial (LOTT; N = 595); and the placebo arm of the Towards a Revolution in COPD Health trial (TORCH; N = 1,091). The exacerbation risks were low, medium, and high in the three respective trials.

The study, published online in the journal CHEST, compared the performance of three risk-stratification algorithms: exacerbation history; the model that Loes C.M. Bertens, PhD, and colleagues in the Netherlands developed in 2013; and the latest version of the Acute COPD Exacerbation Prediction Tool, known as ACCEPT.
 

Results of the analysis

The study used area under the curve (AUC), a method of evaluating effectiveness or efficiency, to compare performance of the prediction algorithms. ACCEPT outperformed exacerbation history and the Bertens algorithm in all the LOTT (medium risk) and TORCH (high risk) samples, both of which were statistically significant. In SUMMIT (low risk), Bertens and ACCEPT outperformed exacerbation history, which was statistically significant.

The AUC for exacerbation history alone in predicting future exacerbations in SUMMIT, LOTT, and TORCH was 0.59 (95% confidence interval, 0.57-0.61), 0.63 (95% CI, 0.59-0.67), and 0.65 (95% CI, 0.63-0.68), respectively. Bertens had a higher AUC, compared with exacerbation history alone in SUMMIT (increase of 0.10, P < .001) and TORCH (increase of 0.05, P < .001), but not in LOTT (increase of 0.01, P = .84).

ACCEPT had higher AUC, compared with exacerbation history alone in all study samples, by 0.08 (P < .001), 0.07 (P = .001) and 0.10 (P < .001), respectively. Compared with Bertens, ACCEPT had higher AUC by 0.06 (P = .001) in LOTT and 0.05 (P < .001) in TORCH, whereas the AUCs were not different in SUMMIT (change of –0.02, P = .16).
 

Study rationale

Senior author Mohsen Sadatsafavi, MD, PhD, associate professor of pharmaceutical sciences at the University of British Columbia, told this news organization that this study was inspired by a study in cardiology earlier in 2022 that found that the performance of the multitude of risk-prediction tools used to evaluate cardiovascular disease risk can vary widely if they’re not calibrated for new patient populations.

“The main finding was that exacerbation history alone can be harmful even if it is applied at different risk levels,” Dr. Sadatsafavi said of the IMPACT study. “No algorithm could be universally applicable, but exacerbation history has a very high chance of being worse than not doing any risk stratification at all and simply giving medication to all patients.”

Exacerbation history was considered harmful because it generated a lower net benefit than the either Bertens or ACCEPT, the IMPACT study found.

The benefit of the two risk-prediction tools is that they can be recalibrated, Dr. Sadatsafavi said. “You don’t have that luxury with exacerbation history, because it’s just a fixed positive or negative history,” he said. “We need to be quite cognizant of the difference in lung attacks in different populations and the fact that exacerbation history has very different performance in different groups and might be harmful when applied in certain populations. We suggest the use of the risk-stratification tools as a better proper statistical model.”
 

Expert comment

“As the authors point out, current guidelines for COPD management recommend preventive exacerbation therapy considering the patient’s exacerbation history,” Mary Jo S. Farmer, MD, PhD, assistant professor at the University of Massachusetts Chan Medical School-Baystate, Worcester, said via email. “However, this strategy has demonstrated harm in some situations.”

She noted that the multivariable prediction models were more accurate than exacerbation history alone for predicting 12-month risk of moderate/severe COPD exacerbations but that no algorithm was superior in clinical utility across all samples. 

“The authors conclude that the highest accuracy of a risk prediction model can be achieved when the model is recalibrated based on the baseline exacerbation risk of the study population in question,” Dr. Farmer added. 

The study received funding from the Canadian Institutes of Health Research. Dr. Ho, Dr. Sadatsafavi, and Dr. Farmer report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Clinical guidelines recommend use of exacerbation history in choosing therapies to predict the risk for chronic obstructive pulmonary disease exacerbations, but an analysis of data from three different clinical studies has found that exacerbation history alone is not the most accurate risk-prediction tool – and that it may even cause harm in some situations.

“Our results present a cautionary tale for the potential risk of harm to patients when naively applying risk stratification algorithms across different clinical settings,” lead author Joseph Khoa Ho, PharmD, a master’s candidate in pharmaceutical sciences at the University of British Columbia, Vancouver, told this news organization.

“We show that risk-prediction models have better accuracy than exacerbation history alone for predicting the future risk of COPD exacerbations,” he said. “However, the prediction models required re-evaluation and setting-specific recalibration in order to yield higher clinical utility.”

The study, known as IMPACT, analyzed three trials that enrolled 4,107 patients at varying levels of moderate or severe exacerbation risks: the placebo arm of the Study to Understand Mortality and Morbidity in COPD (SUMMIT; N = 2,421); the Long-term Oxygen Treatment Trial (LOTT; N = 595); and the placebo arm of the Towards a Revolution in COPD Health trial (TORCH; N = 1,091). The exacerbation risks were low, medium, and high in the three respective trials.

The study, published online in the journal CHEST, compared the performance of three risk-stratification algorithms: exacerbation history; the model that Loes C.M. Bertens, PhD, and colleagues in the Netherlands developed in 2013; and the latest version of the Acute COPD Exacerbation Prediction Tool, known as ACCEPT.
 

Results of the analysis

The study used area under the curve (AUC), a method of evaluating effectiveness or efficiency, to compare performance of the prediction algorithms. ACCEPT outperformed exacerbation history and the Bertens algorithm in all the LOTT (medium risk) and TORCH (high risk) samples, both of which were statistically significant. In SUMMIT (low risk), Bertens and ACCEPT outperformed exacerbation history, which was statistically significant.

The AUC for exacerbation history alone in predicting future exacerbations in SUMMIT, LOTT, and TORCH was 0.59 (95% confidence interval, 0.57-0.61), 0.63 (95% CI, 0.59-0.67), and 0.65 (95% CI, 0.63-0.68), respectively. Bertens had a higher AUC, compared with exacerbation history alone in SUMMIT (increase of 0.10, P < .001) and TORCH (increase of 0.05, P < .001), but not in LOTT (increase of 0.01, P = .84).

ACCEPT had higher AUC, compared with exacerbation history alone in all study samples, by 0.08 (P < .001), 0.07 (P = .001) and 0.10 (P < .001), respectively. Compared with Bertens, ACCEPT had higher AUC by 0.06 (P = .001) in LOTT and 0.05 (P < .001) in TORCH, whereas the AUCs were not different in SUMMIT (change of –0.02, P = .16).
 

Study rationale

Senior author Mohsen Sadatsafavi, MD, PhD, associate professor of pharmaceutical sciences at the University of British Columbia, told this news organization that this study was inspired by a study in cardiology earlier in 2022 that found that the performance of the multitude of risk-prediction tools used to evaluate cardiovascular disease risk can vary widely if they’re not calibrated for new patient populations.

“The main finding was that exacerbation history alone can be harmful even if it is applied at different risk levels,” Dr. Sadatsafavi said of the IMPACT study. “No algorithm could be universally applicable, but exacerbation history has a very high chance of being worse than not doing any risk stratification at all and simply giving medication to all patients.”

Exacerbation history was considered harmful because it generated a lower net benefit than the either Bertens or ACCEPT, the IMPACT study found.

The benefit of the two risk-prediction tools is that they can be recalibrated, Dr. Sadatsafavi said. “You don’t have that luxury with exacerbation history, because it’s just a fixed positive or negative history,” he said. “We need to be quite cognizant of the difference in lung attacks in different populations and the fact that exacerbation history has very different performance in different groups and might be harmful when applied in certain populations. We suggest the use of the risk-stratification tools as a better proper statistical model.”
 

Expert comment

“As the authors point out, current guidelines for COPD management recommend preventive exacerbation therapy considering the patient’s exacerbation history,” Mary Jo S. Farmer, MD, PhD, assistant professor at the University of Massachusetts Chan Medical School-Baystate, Worcester, said via email. “However, this strategy has demonstrated harm in some situations.”

She noted that the multivariable prediction models were more accurate than exacerbation history alone for predicting 12-month risk of moderate/severe COPD exacerbations but that no algorithm was superior in clinical utility across all samples. 

“The authors conclude that the highest accuracy of a risk prediction model can be achieved when the model is recalibrated based on the baseline exacerbation risk of the study population in question,” Dr. Farmer added. 

The study received funding from the Canadian Institutes of Health Research. Dr. Ho, Dr. Sadatsafavi, and Dr. Farmer report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Clinical guidelines recommend use of exacerbation history in choosing therapies to predict the risk for chronic obstructive pulmonary disease exacerbations, but an analysis of data from three different clinical studies has found that exacerbation history alone is not the most accurate risk-prediction tool – and that it may even cause harm in some situations.

“Our results present a cautionary tale for the potential risk of harm to patients when naively applying risk stratification algorithms across different clinical settings,” lead author Joseph Khoa Ho, PharmD, a master’s candidate in pharmaceutical sciences at the University of British Columbia, Vancouver, told this news organization.

“We show that risk-prediction models have better accuracy than exacerbation history alone for predicting the future risk of COPD exacerbations,” he said. “However, the prediction models required re-evaluation and setting-specific recalibration in order to yield higher clinical utility.”

The study, known as IMPACT, analyzed three trials that enrolled 4,107 patients at varying levels of moderate or severe exacerbation risks: the placebo arm of the Study to Understand Mortality and Morbidity in COPD (SUMMIT; N = 2,421); the Long-term Oxygen Treatment Trial (LOTT; N = 595); and the placebo arm of the Towards a Revolution in COPD Health trial (TORCH; N = 1,091). The exacerbation risks were low, medium, and high in the three respective trials.

The study, published online in the journal CHEST, compared the performance of three risk-stratification algorithms: exacerbation history; the model that Loes C.M. Bertens, PhD, and colleagues in the Netherlands developed in 2013; and the latest version of the Acute COPD Exacerbation Prediction Tool, known as ACCEPT.
 

Results of the analysis

The study used area under the curve (AUC), a method of evaluating effectiveness or efficiency, to compare performance of the prediction algorithms. ACCEPT outperformed exacerbation history and the Bertens algorithm in all the LOTT (medium risk) and TORCH (high risk) samples, both of which were statistically significant. In SUMMIT (low risk), Bertens and ACCEPT outperformed exacerbation history, which was statistically significant.

The AUC for exacerbation history alone in predicting future exacerbations in SUMMIT, LOTT, and TORCH was 0.59 (95% confidence interval, 0.57-0.61), 0.63 (95% CI, 0.59-0.67), and 0.65 (95% CI, 0.63-0.68), respectively. Bertens had a higher AUC, compared with exacerbation history alone in SUMMIT (increase of 0.10, P < .001) and TORCH (increase of 0.05, P < .001), but not in LOTT (increase of 0.01, P = .84).

ACCEPT had higher AUC, compared with exacerbation history alone in all study samples, by 0.08 (P < .001), 0.07 (P = .001) and 0.10 (P < .001), respectively. Compared with Bertens, ACCEPT had higher AUC by 0.06 (P = .001) in LOTT and 0.05 (P < .001) in TORCH, whereas the AUCs were not different in SUMMIT (change of –0.02, P = .16).
 

Study rationale

Senior author Mohsen Sadatsafavi, MD, PhD, associate professor of pharmaceutical sciences at the University of British Columbia, told this news organization that this study was inspired by a study in cardiology earlier in 2022 that found that the performance of the multitude of risk-prediction tools used to evaluate cardiovascular disease risk can vary widely if they’re not calibrated for new patient populations.

“The main finding was that exacerbation history alone can be harmful even if it is applied at different risk levels,” Dr. Sadatsafavi said of the IMPACT study. “No algorithm could be universally applicable, but exacerbation history has a very high chance of being worse than not doing any risk stratification at all and simply giving medication to all patients.”

Exacerbation history was considered harmful because it generated a lower net benefit than the either Bertens or ACCEPT, the IMPACT study found.

The benefit of the two risk-prediction tools is that they can be recalibrated, Dr. Sadatsafavi said. “You don’t have that luxury with exacerbation history, because it’s just a fixed positive or negative history,” he said. “We need to be quite cognizant of the difference in lung attacks in different populations and the fact that exacerbation history has very different performance in different groups and might be harmful when applied in certain populations. We suggest the use of the risk-stratification tools as a better proper statistical model.”
 

Expert comment

“As the authors point out, current guidelines for COPD management recommend preventive exacerbation therapy considering the patient’s exacerbation history,” Mary Jo S. Farmer, MD, PhD, assistant professor at the University of Massachusetts Chan Medical School-Baystate, Worcester, said via email. “However, this strategy has demonstrated harm in some situations.”

She noted that the multivariable prediction models were more accurate than exacerbation history alone for predicting 12-month risk of moderate/severe COPD exacerbations but that no algorithm was superior in clinical utility across all samples. 

“The authors conclude that the highest accuracy of a risk prediction model can be achieved when the model is recalibrated based on the baseline exacerbation risk of the study population in question,” Dr. Farmer added. 

The study received funding from the Canadian Institutes of Health Research. Dr. Ho, Dr. Sadatsafavi, and Dr. Farmer report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Strict control of comorbidities in patients with chronic obstructive pulmonary disease decreases exacerbations and morbimortality, and avoids readmissions. An increasing number of women have the disease, which progresses differently in women than in men and even has different comorbidities.

“Comorbidities in patients with chronic obstructive pulmonary disease are more common in older adults, in those with more advanced pulmonary disease, and in those that are hospitalized for an acute exacerbation,” said Belén Alonso, MD, PhD, coordinator of the COPD Working Group of the Spanish Society of Internal Medicine. Up to 73 comorbidities associated with chronic obstructive pulmonary disease have been described. Dr. Alonso made these remarks during her presentation at the Comorbidities in Chronic Obstructive Pulmonary Disease Panel, which took place during the 43rd Conference of the Spanish Society of Internal Medicine (SEMI), in Gijón, Spain.

According to the scientific society’s press release, moderator María Gómez Antúnez, MD, stated, “The correct approach and treatment of these comorbidities is fundamental to improve the quality of life of the patient, decrease exacerbations, avoid readmissions, and decrease morbimortality in people with chronic obstructive pulmonary disease.”

The different works published, two of them by the SEMI COPD Working Group (ECCO and ESMI studies), indicate that the main comorbidities of patients with that pneumopathy are arterial hypertension, dyslipidemia, diabetes, heart failure, atrial fibrillation, ischemic heart disease, chronic kidney disease, peripheral arterial disease, and osteoporosis. Chronic hepatopathy, pulmonary neoplasm, depression, and cerebrovascular disease are less common.
 

73 comorbidities described

Dr. Alonso told this news organization, “Of those 73 comorbidities, some of the lesser known or less attention grabbing, according to a paper that we brought to the panel, include sleep disorders that encompass insomnia, nightmares, night terrors, sleep apneas, or hypopneas. Other lesser-known comorbidities related to cognitive decline, with patterns that reflect that up to 60% [of patients] may have some degree of deterioration, involve the disease phase, hypoxemia, or degree of inflammation. On the other hand, it has also been associated with Parkinson’s disease and gastroesophageal reflux, among many more that arise from the cardiovascular sphere.”

One paper reveals that more than 78% of patients with chronic obstructive pulmonary disease have one associated comorbidity, almost 69% have two, and 47.9% have three.

“Based on gender, comorbidities are different. In women, it is well observed that anxiety, depression, and osteoporosis are more common. However, hypertension, ischemic heart disease, and diabetes are more common in men with chronic obstructive pulmonary disease,” she stated.

“The pulmonary disease in question also progresses differently in men and women. In women, onset is at younger ages – between 40 and 50 years – and in men, after 50. Likewise, it appears that the disease progresses more quickly, which coincides with a worse quality of life (since dyspnea is tolerated less) and exceeds the anatomical differences, where hormonal influences play a dominant role,” Dr. Alonso stressed.
 

Reciprocal prognosis

Dr. Alonso stated, “The prognostic importance of comorbidities in the disease is reciprocal. In other words, if there are comorbidities that we do not look for or treat, they are going to have a negative influence on the chronic obstructive pulmonary disease. The disease will progress more and elevate the risk of exacerbations (the most important prognostic factor of that disease). In turn, if we are not treating the disease well, not only pharmacologically, it will have negative repercussions on the comorbidities. It will progress and have negative connotations, such as diabetes or ischemic heart disease.”

The aforementioned ECCO and ESMI studies include patients in internal medicine with exacerbations where the most common comorbidities have been mapped out, although there is also extensive research on comorbidities in patients who are admitted to departments other than internal medicine. “With regard to prognostic implications, our working group very clearly observed the comorbidities and the comorbidome, that solar system that appears so much in medical conferences and forums, which implies that proximity to the center of that solar system is related more to mortality, anxiety, depression, and breast cancer. Other pathologies, such as ischemic heart disease or dyslipidemia, are outside of that territory of greater risk, in which we have been more pioneering than other groups,” said Dr. Alonso.

The current trend is that the age of these patients is increasing, and there are more and more women with this pathology. According to the latest report from the Ministry of Health on respiratory diseases, the prevalence of chronic obstructive pulmonary disease among the population 40 years and older is around 33.9 cases per 1,000 inhabitants, more than twice as common in men than in women (47.7 vs. 21.3). Prevalence increases with age after 40 years progressively until reaching the greatest frequency in the 80- to 84-year-old age group.

In 2019, the number of deaths due to chronic obstructive pulmonary disease in Spain was 13,808 (9,907 men and 3,901 women), with a crude mortality rate of 29.3 deaths per 100,000 inhabitants. This toll decreased in comparison with that of 2018. Chronic obstructive pulmonary disease causes 2.5 times more deaths in men than in women. From 2001 to 2019, mortality due to that pathology declined by 43% in men and women. The decrease was almost 50% in men and 33% in women.
 

Overlap syndrome prevalent

Javier Sánchez Lora, MD, of the internal medicine department of the Virgen de la Victoria de Málaga University Clinical Hospital, discussed chronic obstructive pulmonary disease and sleep disorders. More concretely, he spoke about overlap syndrome: chronic obstructive pulmonary disease plus obstructive sleep apnea. According to the international consensus document on obstructive sleep apnea, the diagnosis requires an apnea-hypopnea index (AHI) equal to or greater than 15 per hour or equal to or greater than 5. The patient must also have one or more of the following factors: excessive daytime sleepiness, sleep that is not restful, excessive fatigue, and deterioration in quality of life related to sleep and not justified by other causes.

“The overlap syndrome affects 3%-66% of chronic obstructive pulmonary diseases and 7%-55% of obstructive sleep apnea,” said Dr. Sánchez Lora. This syndrome has important effects on different systems: at the cardiovascular level (arterial and pulmonary hypertension, heart failure, stroke, arrhythmias, ischemic heart disease, pulmonary thromboembolism), metabolic (insulin resistance, diabetes, metabolic syndrome), neurocognitive (dementia, depression), and neoplastic (lung, pancreas, esophagus) effects.

“These patients have a worse prognosis than those that have these pathologies alone. During sleep, they experience more frequent episodes of oxygen desaturation and they have a longer total period of sleep with hypoxemia and hypercapnia than those with obstructive apnea alone without chronic obstructive pulmonary disease,” said Dr. Sánchez Lora.

The apneic events of patients with the syndrome have a more profound hypoxemia and more arrhythmias, in addition to them being more susceptible to developing pulmonary hypertension than those with chronic obstructive pulmonary disease or sleep apnea alone. “The good news is that in patients with overlap, the use of ventilation with positive pressure reduces all causes of hospitalization and the visits to the emergency room, as well as the moderate and severe exacerbations of the disease.”

Dr. Sánchez Lora referred to a series of recommendations in clinical practice for the diagnosis and treatment of overlap syndrome: screening, combined therapy of hygienic-dietary measures, and the use of continuous positive respiratory pressure. Oxygen therapy to correct isolated nocturnal desaturations has not shown benefits in survival, although a benefit trial of symptoms attributed to nocturnal hypoxemia in patients with significant comorbidity can be conducted.
 

Underdiagnosis

“During the panel, we also spoke about the importance that as part of internal medicine we need to make an effort to reduce the underdiagnosis of chronic pulmonary disease and its comorbidities. Specialists in internal medicine need to become aware that this pathology is not only pulmonary, but also multisystemic, complex, heterogenous, and very variable even in the same patient,” said Dr. Sánchez Lora.

Dr. Alonso said, “Regarding the importance of diagnosis of this disease, we continue with an underdiagnosis greater than 70% for men and 80% for women. Secondly, we need to actively seek out the comorbidities associated with chronic obstructive pulmonary disease, even taking advantage of the admission of these patients with exacerbations, which are undesired and common.

“Regarding ongoing trials, we have a study that started during the COVID-19 pandemic, ADEG-EPOC, that involves the adaptation to and impact of severe and very severe exacerbations in patients admitted to our departments,” the specialist indicated.

“In the group, we are also planning to publish an updated agreement, which we already made in 2014, on the most common and important comorbidities associated with chronic obstructive pulmonary disease.” The agreement discusses the 20 most important comorbidities. In addition, the 2023 Gold Guide, which appeared in November 2022, includes a new chapter on updated treatment and the latest developments.

In the last 5 years, Dr. Alonso has collaborated with Abbott, AstraZeneca, Boehringer Ingelheim, Chiesi, FAES, Ferrer, Fresenius Kabi, GSK, Nestlé, Novo Nordisk, Nutricia, and Menarini. Dr. Sánchez Lora has collaborated with AstraZeneca, Boehringer Ingelheim, Chiesi, FAES, GSK, and Menarini.

This article was translated from the Medscape Spanish edition. A version of this article appeared on Medscape.com.

Strict control of comorbidities in patients with chronic obstructive pulmonary disease decreases exacerbations and morbimortality, and avoids readmissions. An increasing number of women have the disease, which progresses differently in women than in men and even has different comorbidities.

“Comorbidities in patients with chronic obstructive pulmonary disease are more common in older adults, in those with more advanced pulmonary disease, and in those that are hospitalized for an acute exacerbation,” said Belén Alonso, MD, PhD, coordinator of the COPD Working Group of the Spanish Society of Internal Medicine. Up to 73 comorbidities associated with chronic obstructive pulmonary disease have been described. Dr. Alonso made these remarks during her presentation at the Comorbidities in Chronic Obstructive Pulmonary Disease Panel, which took place during the 43rd Conference of the Spanish Society of Internal Medicine (SEMI), in Gijón, Spain.

According to the scientific society’s press release, moderator María Gómez Antúnez, MD, stated, “The correct approach and treatment of these comorbidities is fundamental to improve the quality of life of the patient, decrease exacerbations, avoid readmissions, and decrease morbimortality in people with chronic obstructive pulmonary disease.”

The different works published, two of them by the SEMI COPD Working Group (ECCO and ESMI studies), indicate that the main comorbidities of patients with that pneumopathy are arterial hypertension, dyslipidemia, diabetes, heart failure, atrial fibrillation, ischemic heart disease, chronic kidney disease, peripheral arterial disease, and osteoporosis. Chronic hepatopathy, pulmonary neoplasm, depression, and cerebrovascular disease are less common.
 

73 comorbidities described

Dr. Alonso told this news organization, “Of those 73 comorbidities, some of the lesser known or less attention grabbing, according to a paper that we brought to the panel, include sleep disorders that encompass insomnia, nightmares, night terrors, sleep apneas, or hypopneas. Other lesser-known comorbidities related to cognitive decline, with patterns that reflect that up to 60% [of patients] may have some degree of deterioration, involve the disease phase, hypoxemia, or degree of inflammation. On the other hand, it has also been associated with Parkinson’s disease and gastroesophageal reflux, among many more that arise from the cardiovascular sphere.”

One paper reveals that more than 78% of patients with chronic obstructive pulmonary disease have one associated comorbidity, almost 69% have two, and 47.9% have three.

“Based on gender, comorbidities are different. In women, it is well observed that anxiety, depression, and osteoporosis are more common. However, hypertension, ischemic heart disease, and diabetes are more common in men with chronic obstructive pulmonary disease,” she stated.

“The pulmonary disease in question also progresses differently in men and women. In women, onset is at younger ages – between 40 and 50 years – and in men, after 50. Likewise, it appears that the disease progresses more quickly, which coincides with a worse quality of life (since dyspnea is tolerated less) and exceeds the anatomical differences, where hormonal influences play a dominant role,” Dr. Alonso stressed.
 

Reciprocal prognosis

Dr. Alonso stated, “The prognostic importance of comorbidities in the disease is reciprocal. In other words, if there are comorbidities that we do not look for or treat, they are going to have a negative influence on the chronic obstructive pulmonary disease. The disease will progress more and elevate the risk of exacerbations (the most important prognostic factor of that disease). In turn, if we are not treating the disease well, not only pharmacologically, it will have negative repercussions on the comorbidities. It will progress and have negative connotations, such as diabetes or ischemic heart disease.”

The aforementioned ECCO and ESMI studies include patients in internal medicine with exacerbations where the most common comorbidities have been mapped out, although there is also extensive research on comorbidities in patients who are admitted to departments other than internal medicine. “With regard to prognostic implications, our working group very clearly observed the comorbidities and the comorbidome, that solar system that appears so much in medical conferences and forums, which implies that proximity to the center of that solar system is related more to mortality, anxiety, depression, and breast cancer. Other pathologies, such as ischemic heart disease or dyslipidemia, are outside of that territory of greater risk, in which we have been more pioneering than other groups,” said Dr. Alonso.

The current trend is that the age of these patients is increasing, and there are more and more women with this pathology. According to the latest report from the Ministry of Health on respiratory diseases, the prevalence of chronic obstructive pulmonary disease among the population 40 years and older is around 33.9 cases per 1,000 inhabitants, more than twice as common in men than in women (47.7 vs. 21.3). Prevalence increases with age after 40 years progressively until reaching the greatest frequency in the 80- to 84-year-old age group.

In 2019, the number of deaths due to chronic obstructive pulmonary disease in Spain was 13,808 (9,907 men and 3,901 women), with a crude mortality rate of 29.3 deaths per 100,000 inhabitants. This toll decreased in comparison with that of 2018. Chronic obstructive pulmonary disease causes 2.5 times more deaths in men than in women. From 2001 to 2019, mortality due to that pathology declined by 43% in men and women. The decrease was almost 50% in men and 33% in women.
 

Overlap syndrome prevalent

Javier Sánchez Lora, MD, of the internal medicine department of the Virgen de la Victoria de Málaga University Clinical Hospital, discussed chronic obstructive pulmonary disease and sleep disorders. More concretely, he spoke about overlap syndrome: chronic obstructive pulmonary disease plus obstructive sleep apnea. According to the international consensus document on obstructive sleep apnea, the diagnosis requires an apnea-hypopnea index (AHI) equal to or greater than 15 per hour or equal to or greater than 5. The patient must also have one or more of the following factors: excessive daytime sleepiness, sleep that is not restful, excessive fatigue, and deterioration in quality of life related to sleep and not justified by other causes.

“The overlap syndrome affects 3%-66% of chronic obstructive pulmonary diseases and 7%-55% of obstructive sleep apnea,” said Dr. Sánchez Lora. This syndrome has important effects on different systems: at the cardiovascular level (arterial and pulmonary hypertension, heart failure, stroke, arrhythmias, ischemic heart disease, pulmonary thromboembolism), metabolic (insulin resistance, diabetes, metabolic syndrome), neurocognitive (dementia, depression), and neoplastic (lung, pancreas, esophagus) effects.

“These patients have a worse prognosis than those that have these pathologies alone. During sleep, they experience more frequent episodes of oxygen desaturation and they have a longer total period of sleep with hypoxemia and hypercapnia than those with obstructive apnea alone without chronic obstructive pulmonary disease,” said Dr. Sánchez Lora.

The apneic events of patients with the syndrome have a more profound hypoxemia and more arrhythmias, in addition to them being more susceptible to developing pulmonary hypertension than those with chronic obstructive pulmonary disease or sleep apnea alone. “The good news is that in patients with overlap, the use of ventilation with positive pressure reduces all causes of hospitalization and the visits to the emergency room, as well as the moderate and severe exacerbations of the disease.”

Dr. Sánchez Lora referred to a series of recommendations in clinical practice for the diagnosis and treatment of overlap syndrome: screening, combined therapy of hygienic-dietary measures, and the use of continuous positive respiratory pressure. Oxygen therapy to correct isolated nocturnal desaturations has not shown benefits in survival, although a benefit trial of symptoms attributed to nocturnal hypoxemia in patients with significant comorbidity can be conducted.
 

Underdiagnosis

“During the panel, we also spoke about the importance that as part of internal medicine we need to make an effort to reduce the underdiagnosis of chronic pulmonary disease and its comorbidities. Specialists in internal medicine need to become aware that this pathology is not only pulmonary, but also multisystemic, complex, heterogenous, and very variable even in the same patient,” said Dr. Sánchez Lora.

Dr. Alonso said, “Regarding the importance of diagnosis of this disease, we continue with an underdiagnosis greater than 70% for men and 80% for women. Secondly, we need to actively seek out the comorbidities associated with chronic obstructive pulmonary disease, even taking advantage of the admission of these patients with exacerbations, which are undesired and common.

“Regarding ongoing trials, we have a study that started during the COVID-19 pandemic, ADEG-EPOC, that involves the adaptation to and impact of severe and very severe exacerbations in patients admitted to our departments,” the specialist indicated.

“In the group, we are also planning to publish an updated agreement, which we already made in 2014, on the most common and important comorbidities associated with chronic obstructive pulmonary disease.” The agreement discusses the 20 most important comorbidities. In addition, the 2023 Gold Guide, which appeared in November 2022, includes a new chapter on updated treatment and the latest developments.

In the last 5 years, Dr. Alonso has collaborated with Abbott, AstraZeneca, Boehringer Ingelheim, Chiesi, FAES, Ferrer, Fresenius Kabi, GSK, Nestlé, Novo Nordisk, Nutricia, and Menarini. Dr. Sánchez Lora has collaborated with AstraZeneca, Boehringer Ingelheim, Chiesi, FAES, GSK, and Menarini.

This article was translated from the Medscape Spanish edition. A version of this article appeared on Medscape.com.

Strict control of comorbidities in patients with chronic obstructive pulmonary disease decreases exacerbations and morbimortality, and avoids readmissions. An increasing number of women have the disease, which progresses differently in women than in men and even has different comorbidities.

“Comorbidities in patients with chronic obstructive pulmonary disease are more common in older adults, in those with more advanced pulmonary disease, and in those that are hospitalized for an acute exacerbation,” said Belén Alonso, MD, PhD, coordinator of the COPD Working Group of the Spanish Society of Internal Medicine. Up to 73 comorbidities associated with chronic obstructive pulmonary disease have been described. Dr. Alonso made these remarks during her presentation at the Comorbidities in Chronic Obstructive Pulmonary Disease Panel, which took place during the 43rd Conference of the Spanish Society of Internal Medicine (SEMI), in Gijón, Spain.

According to the scientific society’s press release, moderator María Gómez Antúnez, MD, stated, “The correct approach and treatment of these comorbidities is fundamental to improve the quality of life of the patient, decrease exacerbations, avoid readmissions, and decrease morbimortality in people with chronic obstructive pulmonary disease.”

The different works published, two of them by the SEMI COPD Working Group (ECCO and ESMI studies), indicate that the main comorbidities of patients with that pneumopathy are arterial hypertension, dyslipidemia, diabetes, heart failure, atrial fibrillation, ischemic heart disease, chronic kidney disease, peripheral arterial disease, and osteoporosis. Chronic hepatopathy, pulmonary neoplasm, depression, and cerebrovascular disease are less common.
 

73 comorbidities described

Dr. Alonso told this news organization, “Of those 73 comorbidities, some of the lesser known or less attention grabbing, according to a paper that we brought to the panel, include sleep disorders that encompass insomnia, nightmares, night terrors, sleep apneas, or hypopneas. Other lesser-known comorbidities related to cognitive decline, with patterns that reflect that up to 60% [of patients] may have some degree of deterioration, involve the disease phase, hypoxemia, or degree of inflammation. On the other hand, it has also been associated with Parkinson’s disease and gastroesophageal reflux, among many more that arise from the cardiovascular sphere.”

One paper reveals that more than 78% of patients with chronic obstructive pulmonary disease have one associated comorbidity, almost 69% have two, and 47.9% have three.

“Based on gender, comorbidities are different. In women, it is well observed that anxiety, depression, and osteoporosis are more common. However, hypertension, ischemic heart disease, and diabetes are more common in men with chronic obstructive pulmonary disease,” she stated.

“The pulmonary disease in question also progresses differently in men and women. In women, onset is at younger ages – between 40 and 50 years – and in men, after 50. Likewise, it appears that the disease progresses more quickly, which coincides with a worse quality of life (since dyspnea is tolerated less) and exceeds the anatomical differences, where hormonal influences play a dominant role,” Dr. Alonso stressed.
 

Reciprocal prognosis

Dr. Alonso stated, “The prognostic importance of comorbidities in the disease is reciprocal. In other words, if there are comorbidities that we do not look for or treat, they are going to have a negative influence on the chronic obstructive pulmonary disease. The disease will progress more and elevate the risk of exacerbations (the most important prognostic factor of that disease). In turn, if we are not treating the disease well, not only pharmacologically, it will have negative repercussions on the comorbidities. It will progress and have negative connotations, such as diabetes or ischemic heart disease.”

The aforementioned ECCO and ESMI studies include patients in internal medicine with exacerbations where the most common comorbidities have been mapped out, although there is also extensive research on comorbidities in patients who are admitted to departments other than internal medicine. “With regard to prognostic implications, our working group very clearly observed the comorbidities and the comorbidome, that solar system that appears so much in medical conferences and forums, which implies that proximity to the center of that solar system is related more to mortality, anxiety, depression, and breast cancer. Other pathologies, such as ischemic heart disease or dyslipidemia, are outside of that territory of greater risk, in which we have been more pioneering than other groups,” said Dr. Alonso.

The current trend is that the age of these patients is increasing, and there are more and more women with this pathology. According to the latest report from the Ministry of Health on respiratory diseases, the prevalence of chronic obstructive pulmonary disease among the population 40 years and older is around 33.9 cases per 1,000 inhabitants, more than twice as common in men than in women (47.7 vs. 21.3). Prevalence increases with age after 40 years progressively until reaching the greatest frequency in the 80- to 84-year-old age group.

In 2019, the number of deaths due to chronic obstructive pulmonary disease in Spain was 13,808 (9,907 men and 3,901 women), with a crude mortality rate of 29.3 deaths per 100,000 inhabitants. This toll decreased in comparison with that of 2018. Chronic obstructive pulmonary disease causes 2.5 times more deaths in men than in women. From 2001 to 2019, mortality due to that pathology declined by 43% in men and women. The decrease was almost 50% in men and 33% in women.
 

Overlap syndrome prevalent

Javier Sánchez Lora, MD, of the internal medicine department of the Virgen de la Victoria de Málaga University Clinical Hospital, discussed chronic obstructive pulmonary disease and sleep disorders. More concretely, he spoke about overlap syndrome: chronic obstructive pulmonary disease plus obstructive sleep apnea. According to the international consensus document on obstructive sleep apnea, the diagnosis requires an apnea-hypopnea index (AHI) equal to or greater than 15 per hour or equal to or greater than 5. The patient must also have one or more of the following factors: excessive daytime sleepiness, sleep that is not restful, excessive fatigue, and deterioration in quality of life related to sleep and not justified by other causes.

“The overlap syndrome affects 3%-66% of chronic obstructive pulmonary diseases and 7%-55% of obstructive sleep apnea,” said Dr. Sánchez Lora. This syndrome has important effects on different systems: at the cardiovascular level (arterial and pulmonary hypertension, heart failure, stroke, arrhythmias, ischemic heart disease, pulmonary thromboembolism), metabolic (insulin resistance, diabetes, metabolic syndrome), neurocognitive (dementia, depression), and neoplastic (lung, pancreas, esophagus) effects.

“These patients have a worse prognosis than those that have these pathologies alone. During sleep, they experience more frequent episodes of oxygen desaturation and they have a longer total period of sleep with hypoxemia and hypercapnia than those with obstructive apnea alone without chronic obstructive pulmonary disease,” said Dr. Sánchez Lora.

The apneic events of patients with the syndrome have a more profound hypoxemia and more arrhythmias, in addition to them being more susceptible to developing pulmonary hypertension than those with chronic obstructive pulmonary disease or sleep apnea alone. “The good news is that in patients with overlap, the use of ventilation with positive pressure reduces all causes of hospitalization and the visits to the emergency room, as well as the moderate and severe exacerbations of the disease.”

Dr. Sánchez Lora referred to a series of recommendations in clinical practice for the diagnosis and treatment of overlap syndrome: screening, combined therapy of hygienic-dietary measures, and the use of continuous positive respiratory pressure. Oxygen therapy to correct isolated nocturnal desaturations has not shown benefits in survival, although a benefit trial of symptoms attributed to nocturnal hypoxemia in patients with significant comorbidity can be conducted.
 

Underdiagnosis

“During the panel, we also spoke about the importance that as part of internal medicine we need to make an effort to reduce the underdiagnosis of chronic pulmonary disease and its comorbidities. Specialists in internal medicine need to become aware that this pathology is not only pulmonary, but also multisystemic, complex, heterogenous, and very variable even in the same patient,” said Dr. Sánchez Lora.

Dr. Alonso said, “Regarding the importance of diagnosis of this disease, we continue with an underdiagnosis greater than 70% for men and 80% for women. Secondly, we need to actively seek out the comorbidities associated with chronic obstructive pulmonary disease, even taking advantage of the admission of these patients with exacerbations, which are undesired and common.

“Regarding ongoing trials, we have a study that started during the COVID-19 pandemic, ADEG-EPOC, that involves the adaptation to and impact of severe and very severe exacerbations in patients admitted to our departments,” the specialist indicated.

“In the group, we are also planning to publish an updated agreement, which we already made in 2014, on the most common and important comorbidities associated with chronic obstructive pulmonary disease.” The agreement discusses the 20 most important comorbidities. In addition, the 2023 Gold Guide, which appeared in November 2022, includes a new chapter on updated treatment and the latest developments.

In the last 5 years, Dr. Alonso has collaborated with Abbott, AstraZeneca, Boehringer Ingelheim, Chiesi, FAES, Ferrer, Fresenius Kabi, GSK, Nestlé, Novo Nordisk, Nutricia, and Menarini. Dr. Sánchez Lora has collaborated with AstraZeneca, Boehringer Ingelheim, Chiesi, FAES, GSK, and Menarini.

This article was translated from the Medscape Spanish edition. A version of this article appeared on Medscape.com.

Higher fat-free mass was tied to exercise outcomes in patients with chronic obstructive pulmonary disease who were underweight but not in those who were obese or nearly obese, based on data from more than 2,000 individuals.

Change in body composition, including a lower fat-free mass index (FFMI), often occurs in patients with COPD irrespective of body weight, write Felipe V.C. Machado, MSc, of Maastricht University Medical Center, the Netherlands, and colleagues.

However, the impact of changes in FFMI on outcomes including exercise capacity, health-related quality of life (HRQL), and systemic inflammation in patients with COPD stratified by BMI has not been well studied, they said.

In a study published in the journal CHEST, the researchers reviewed data from the COPD and Systemic Consequences – Comorbidities Network (COSYCONET) cohort. The study population included 2,137 adults with COPD (mean age 65 years; 61% men). Patients were divided into four groups based on weight: underweight (UW), normal weight (NW), pre-obese (PO), and obese (OB). These groups accounted for 12.3%, 31.3%, 39.6%, and 16.8%, respectively, of the study population.

Exercise capacity was assessed using the 6-minute walk distance test (6MWD), health-related quality of life was assessed using the Saint George’s Respiratory Questionnaire for COPD, and systemic inflammation was assessed using blood markers including white blood cell (WBC) count and C-reactive protein (CRP). Body composition was assessed using bioelectrical impedance analysis (BIA).

Overall, the frequency of low FFMI decreased from lower to higher BMI groups, occurring in 81% of UW patients, 53% of NW patients, 42% of PO patients, and 39% of OB patients.

Notably, after adjusting for multiple variables, FFM was independently associated with improved scores on the 6-minute walk test for UW patients; NW and PO patients had no such association after controlling for lung function (forced expiratory volume in 1 second – FEV1), the researchers wrote.

However, compared with the other BMI groups, NW patients with high FFMI showed the greatest exercise capacity and health-related quality of life on average, with the lowest degree of airflow limitation (FEV1, 59.5), lowest proportion of patients with mMRC greater than 2 (27%), highest levels of physical activity (International Physical Activity Questionnaire score), best exercise capacity (6MWD, 77) and highest HRQL (SGRQ total score 37).

Body composition was associated differently with exercise capacity, HRQL, and systemic inflammation according to BMI group, the researchers write in their discussion. “We found that stratification using BMI allowed discrimination of groups of patients with COPD who showed slight but significant differences in lung function, exercise capacity, HRQL and systemic inflammation,” they say.

The findings were limited by several factors, including the use of BIA for body composition, which may be subject to hydration and fed conditions, the researchers noted. Other limitations included the use of reference values from a general population sample younger than much of the study population and the cross-sectional design that does not prove causality, the researchers noted.

However, the results support those of previous studies and suggest that normal weight and high FFMI is the most favorable combination to promote positive outcomes in COPD, they conclude. “Clinicians and researchers should consider screening patients with COPD for body composition abnormalities through a combination of BMI and FFMI classifications rather than each of the two indexes alone,” they say.

The COSYCONET study is supported by the German Federal Ministry of Education and Research (BMBF) Competence Network Asthma and COPD (ASCONET) in collaboration with the German Center for Lung Research (DZL). The study also was funded by AstraZeneca, Bayer Schering Pharma AG, Boehringer Ingelheim Pharma, Chiesi, GlaxoSmithKline, and multiple other pharmaceutical companies.

Mr. Machado disclosed financial support from ZonMW.  

A version of this article first appeared on Medscape.com.

Higher fat-free mass was tied to exercise outcomes in patients with chronic obstructive pulmonary disease who were underweight but not in those who were obese or nearly obese, based on data from more than 2,000 individuals.

Change in body composition, including a lower fat-free mass index (FFMI), often occurs in patients with COPD irrespective of body weight, write Felipe V.C. Machado, MSc, of Maastricht University Medical Center, the Netherlands, and colleagues.

However, the impact of changes in FFMI on outcomes including exercise capacity, health-related quality of life (HRQL), and systemic inflammation in patients with COPD stratified by BMI has not been well studied, they said.

In a study published in the journal CHEST, the researchers reviewed data from the COPD and Systemic Consequences – Comorbidities Network (COSYCONET) cohort. The study population included 2,137 adults with COPD (mean age 65 years; 61% men). Patients were divided into four groups based on weight: underweight (UW), normal weight (NW), pre-obese (PO), and obese (OB). These groups accounted for 12.3%, 31.3%, 39.6%, and 16.8%, respectively, of the study population.

Exercise capacity was assessed using the 6-minute walk distance test (6MWD), health-related quality of life was assessed using the Saint George’s Respiratory Questionnaire for COPD, and systemic inflammation was assessed using blood markers including white blood cell (WBC) count and C-reactive protein (CRP). Body composition was assessed using bioelectrical impedance analysis (BIA).

Overall, the frequency of low FFMI decreased from lower to higher BMI groups, occurring in 81% of UW patients, 53% of NW patients, 42% of PO patients, and 39% of OB patients.

Notably, after adjusting for multiple variables, FFM was independently associated with improved scores on the 6-minute walk test for UW patients; NW and PO patients had no such association after controlling for lung function (forced expiratory volume in 1 second – FEV1), the researchers wrote.

However, compared with the other BMI groups, NW patients with high FFMI showed the greatest exercise capacity and health-related quality of life on average, with the lowest degree of airflow limitation (FEV1, 59.5), lowest proportion of patients with mMRC greater than 2 (27%), highest levels of physical activity (International Physical Activity Questionnaire score), best exercise capacity (6MWD, 77) and highest HRQL (SGRQ total score 37).

Body composition was associated differently with exercise capacity, HRQL, and systemic inflammation according to BMI group, the researchers write in their discussion. “We found that stratification using BMI allowed discrimination of groups of patients with COPD who showed slight but significant differences in lung function, exercise capacity, HRQL and systemic inflammation,” they say.

The findings were limited by several factors, including the use of BIA for body composition, which may be subject to hydration and fed conditions, the researchers noted. Other limitations included the use of reference values from a general population sample younger than much of the study population and the cross-sectional design that does not prove causality, the researchers noted.

However, the results support those of previous studies and suggest that normal weight and high FFMI is the most favorable combination to promote positive outcomes in COPD, they conclude. “Clinicians and researchers should consider screening patients with COPD for body composition abnormalities through a combination of BMI and FFMI classifications rather than each of the two indexes alone,” they say.

The COSYCONET study is supported by the German Federal Ministry of Education and Research (BMBF) Competence Network Asthma and COPD (ASCONET) in collaboration with the German Center for Lung Research (DZL). The study also was funded by AstraZeneca, Bayer Schering Pharma AG, Boehringer Ingelheim Pharma, Chiesi, GlaxoSmithKline, and multiple other pharmaceutical companies.

Mr. Machado disclosed financial support from ZonMW.  

A version of this article first appeared on Medscape.com.

Higher fat-free mass was tied to exercise outcomes in patients with chronic obstructive pulmonary disease who were underweight but not in those who were obese or nearly obese, based on data from more than 2,000 individuals.

Change in body composition, including a lower fat-free mass index (FFMI), often occurs in patients with COPD irrespective of body weight, write Felipe V.C. Machado, MSc, of Maastricht University Medical Center, the Netherlands, and colleagues.

However, the impact of changes in FFMI on outcomes including exercise capacity, health-related quality of life (HRQL), and systemic inflammation in patients with COPD stratified by BMI has not been well studied, they said.

In a study published in the journal CHEST, the researchers reviewed data from the COPD and Systemic Consequences – Comorbidities Network (COSYCONET) cohort. The study population included 2,137 adults with COPD (mean age 65 years; 61% men). Patients were divided into four groups based on weight: underweight (UW), normal weight (NW), pre-obese (PO), and obese (OB). These groups accounted for 12.3%, 31.3%, 39.6%, and 16.8%, respectively, of the study population.

Exercise capacity was assessed using the 6-minute walk distance test (6MWD), health-related quality of life was assessed using the Saint George’s Respiratory Questionnaire for COPD, and systemic inflammation was assessed using blood markers including white blood cell (WBC) count and C-reactive protein (CRP). Body composition was assessed using bioelectrical impedance analysis (BIA).

Overall, the frequency of low FFMI decreased from lower to higher BMI groups, occurring in 81% of UW patients, 53% of NW patients, 42% of PO patients, and 39% of OB patients.

Notably, after adjusting for multiple variables, FFM was independently associated with improved scores on the 6-minute walk test for UW patients; NW and PO patients had no such association after controlling for lung function (forced expiratory volume in 1 second – FEV1), the researchers wrote.

However, compared with the other BMI groups, NW patients with high FFMI showed the greatest exercise capacity and health-related quality of life on average, with the lowest degree of airflow limitation (FEV1, 59.5), lowest proportion of patients with mMRC greater than 2 (27%), highest levels of physical activity (International Physical Activity Questionnaire score), best exercise capacity (6MWD, 77) and highest HRQL (SGRQ total score 37).

Body composition was associated differently with exercise capacity, HRQL, and systemic inflammation according to BMI group, the researchers write in their discussion. “We found that stratification using BMI allowed discrimination of groups of patients with COPD who showed slight but significant differences in lung function, exercise capacity, HRQL and systemic inflammation,” they say.

The findings were limited by several factors, including the use of BIA for body composition, which may be subject to hydration and fed conditions, the researchers noted. Other limitations included the use of reference values from a general population sample younger than much of the study population and the cross-sectional design that does not prove causality, the researchers noted.

However, the results support those of previous studies and suggest that normal weight and high FFMI is the most favorable combination to promote positive outcomes in COPD, they conclude. “Clinicians and researchers should consider screening patients with COPD for body composition abnormalities through a combination of BMI and FFMI classifications rather than each of the two indexes alone,” they say.

The COSYCONET study is supported by the German Federal Ministry of Education and Research (BMBF) Competence Network Asthma and COPD (ASCONET) in collaboration with the German Center for Lung Research (DZL). The study also was funded by AstraZeneca, Bayer Schering Pharma AG, Boehringer Ingelheim Pharma, Chiesi, GlaxoSmithKline, and multiple other pharmaceutical companies.

Mr. Machado disclosed financial support from ZonMW.  

A version of this article first appeared on Medscape.com.

Most of us have two voice changes in our lifetime: First during puberty, as the vocal cords thicken and the voice box migrates down the throat. Then a second time as aging causes structural changes that may weaken the voice.

But for some of us, there’s another voice shift, when a disease begins or when our mental health declines.

This is why more doctors are looking into voice as a biomarker – something that tells you that a disease is present.

Vital signs like blood pressure or heart rate “can give a general idea of how sick we are. But they’re not specific to certain diseases,” says Yael Bensoussan, MD, director of the University of South Florida, Tampa’s Health Voice Center and the coprincipal investigator for the National Institutes of Health’s Voice as a Biomarker of Health project.

“We’re learning that there are patterns” in voice changes that can indicate a range of conditions, including diseases of the nervous system and mental illnesses, she says.

Speaking is complicated, involving everything from the lungs and voice box to the mouth and brain. “A breakdown in any of those parts can affect the voice,” says Maria Powell, PhD, an assistant professor of otolaryngology (the study of diseases of the ear and throat) at Vanderbilt University, Nashville, Tenn., who is working on the NIH project.

You or those around you may not notice the changes. But researchers say voice analysis as a standard part of patient care – akin to blood pressure checks or cholesterol tests – could help identify those who need medical attention earlier.

Often, all it takes is a smartphone – “something that’s cheap, off-the-shelf, and that everyone can use,” says Ariana Anderson, PhD, director of the University of California, Los Angeles, Laboratory of Computational Neuropsychology.

“You can provide voice data in your pajamas, on your couch,” says Frank Rudzicz, PhD, a computer scientist for the NIH project. “It doesn’t require very complicated or expensive equipment, and it doesn’t require a lot of expertise to obtain.” Plus, multiple samples can be collected over time, giving a more accurate picture of health than a single snapshot from, say, a cognitive test.

Over the next 4 years, the Voice as a Biomarker team will receive nearly $18 million to gather a massive amount of voice data. The goal is 20,000-30,000 samples, along with health data about each person being studied. The result will be a sprawling database scientists can use to develop algorithms linking health conditions to the way we speak.

For the first 2 years, new data will be collected exclusively via universities and high-volume clinics to control quality and accuracy. Eventually, people will be invited to submit their own voice recordings, creating a crowdsourced dataset. “Google, Alexa, Amazon – they have access to tons of voice data,” says Dr. Bensoussan. “But it’s not usable in a clinical way, because they don’t have the health information.”

Dr. Bensoussan and her colleagues hope to fill that void with advance voice screening apps, which could prove especially valuable in remote communities that lack access to specialists or as a tool for telemedicine. Down the line, wearable devices with voice analysis could alert people with chronic conditions when they need to see a doctor.

“The watch says, ‘I’ve analyzed your breathing and coughing, and today, you’re really not doing well. You should go to the hospital,’ ” says Dr. Bensoussan, envisioning a wearable for patients with COPD. “It could tell people early that things are declining.”

Artificial intelligence may be better than a brain at pinpointing the right disease. For example, slurred speech could indicate Parkinson’s, a stroke, or ALS, among other things.

“We can hold approximately seven pieces of information in our head at one time,” says Dr. Rudzicz. “It’s really hard for us to get a holistic picture using dozens or hundreds of variables at once.” But a computer can consider a whole range of vocal markers at the same time, piecing them together for a more accurate assessment.

“The goal is not to outperform a ... clinician,” says Dr. Bensoussan. Yet the potential is unmistakably there: In a recent study of patients with cancer of the larynx, an automated voice analysis tool more accurately flagged the disease than laryngologists did. 

“Algorithms have a larger training base,” says Dr. Anderson, who developed an app called ChatterBaby that analyzes infant cries. “We have a million samples at our disposal to train our algorithms. I don’t know if I’ve heard a million different babies crying in my life.”

So which health conditions show the most promise for voice analysis? The Voice as a Biomarker project will focus on five categories.
 

Voice disorders (cancers of the larynx, vocal fold paralysis, benign lesions on the larynx)

Obviously, vocal changes are a hallmark of these conditions, which cause things like breathiness or “roughness,” a type of vocal irregularity. Hoarseness that lasts at least 2 weeks is often one of the earliest signs of laryngeal cancer. Yet it can take months – one study found 16 weeks was the average – for patients to see a doctor after noticing the changes. Even then, laryngologists still misdiagnosed some cases of cancer when relying on vocal cues alone.

Now imagine a different scenario: The patient speaks into a smartphone app. An algorithm compares the vocal sample with the voices of laryngeal cancer patients. The app spits out the estimated odds of laryngeal cancer, helping providers decide whether to offer the patient specialist care.

Or consider spasmodic dysphonia, a neurological voice disorder that triggers spasms in the muscles of the voice box, causing a strained or breathy voice. Doctors who lack experience with vocal disorders may miss the condition. This is why diagnosis takes an average of nearly 4.5 years, according to a study in the Journal of Voice, and may include everything from allergy testing to psychiatric evaluation, says Dr. Powell. Artificial intelligence technology trained to recognize the disorder could help eliminate such unnecessary testing.
 

Neurological and neurodegenerative disorders (Alzheimer’s, Parkinson’s, stroke, ALS) 

For Alzheimer’s and Parkinson’s, “one of the first changes that’s notable is voice,” usually appearing before a formal diagnosis, says Anais Rameau, MD, an assistant professor of laryngology at Weill Cornell Medicine, New York, and another member of the NIH project. Parkinson’s may soften the voice or make it sound monotone, while Alzheimer’s disease may change the content of speech, leading to an uptick in “umms” and a preference for pronouns over nouns.

With Parkinson’s, vocal changes can occur decades before movement is affected. If doctors could detect the disease at this stage, before tremor emerged, they might be able to flag patients for early intervention, says Max Little, PhD, project director for the Parkinson’s Voice Initiative. “That is the ‘holy grail’ for finding an eventual cure.”

Again, the smartphone shows potential. In a 2022 Australian study, an AI-powered app was able to identify people with Parkinson’s based on brief voice recordings, although the sample size was small. On a larger scale, the Parkinson’s Voice Initiative collected some 17,000 samples from people across the world. “The aim was to remotely detect those with the condition using a telephone call,” says Dr. Little. It did so with about 65% accuracy. “While this is not accurate enough for clinical use, it shows the potential of the idea,” he says.

Dr. Rudzicz worked on the team behind Winterlight, an iPad app that analyzes 550 features of speech to detect dementia and Alzheimer’s (as well as mental illness). “We deployed it in long-term care facilities,” he says, identifying patients who need further review of their mental skills. Stroke is another area of interest, because slurred speech is a highly subjective measure, says Dr. Anderson. AI technology could provide a more objective evaluation.
 

Mood and psychiatric disorders (depression, schizophrenia, bipolar disorders)

No established biomarkers exist for diagnosing depression. Yet if you’re feeling down, there’s a good chance your friends can tell – even over the phone.

“We carry a lot of our mood in our voice,” says Dr. Powell. Bipolar disorder can also alter voice, making it louder and faster during manic periods, then slower and quieter during depressive bouts. The catatonic stage of schizophrenia often comes with “a very monotone, robotic voice,” says Dr. Anderson. “These are all something an algorithm can measure.”

Apps are already being used – often in research settings – to monitor voices during phone calls, analyzing rate, rhythm, volume, and pitch, to predict mood changes. For example, the PRIORI project at the University of Michigan is working on a smartphone app to identify mood changes in people with bipolar disorder, especially shifts that could increase suicide risk.

The content of speech may also offer clues. In a University of California, Los Angeles, study published in the journal PLoS One, people with mental illnesses answered computer-programmed questions (like “How have you been over the past few days?”) over the phone. An app analyzed their word choices, paying attention to how they changed over time. The researchers found that AI analysis of mood aligned well with doctors’ assessments and that some people in the study actually felt more comfortable talking to a computer.
 

Respiratory disorders (pneumonia, COPD)

Beyond talking, respiratory sounds like gasping or coughing may point to specific conditions. “Emphysema cough is different, COPD cough is different,” says Dr. Bensoussan. Researchers are trying to find out if COVID-19 has a distinct cough.

Breathing sounds can also serve as signposts. “There are different sounds when we can’t breathe,” says Dr. Bensoussan. One is called stridor, a high-pitched wheezing often resulting from a blocked airway. “I see tons of people [with stridor] misdiagnosed for years – they’ve been told they have asthma, but they don’t,” says Dr. Bensoussan. AI analysis of these sounds could help doctors more quickly identify respiratory disorders.
 

Pediatric voice and speech disorders (speech and language delays, autism)

Babies who later have autism cry differently as early as 6 months of age, which means an app like ChatterBaby could help flag children for early intervention, says Dr. Anderson. Autism is linked to several other diagnoses, such as epilepsy and sleep disorders. So analyzing an infant’s cry could prompt pediatricians to screen for a range of conditions.

ChatterBaby has been “incredibly accurate” in identifying when babies are in pain, says Dr. Anderson, because pain increases muscle tension, resulting in a louder, more energetic cry. The next goal: “We’re collecting voices from babies around the world,” she says, and then tracking those children for 7 years, looking to see if early vocal signs could predict developmental disorders. Vocal samples from young children could serve a similar purpose.
 

And that’s only the beginning

Eventually, AI technology may pick up disease-related voice changes that we can’t even hear. In a new Mayo Clinic study, certain vocal features detectable by AI – but not by the human ear – were linked to a three-fold increase in the likelihood of having plaque buildup in the arteries.

“Voice is a huge spectrum of vibrations,” explains study author Amir Lerman, MD. “We hear a very narrow range.” 

The researchers aren’t sure why heart disease alters voice, but the autonomic nervous system may play a role, because it regulates the voice box as well as blood pressure and heart rate. Dr. Lerman says other conditions, like diseases of the nerves and gut, may similarly alter the voice. Beyond patient screening, this discovery could help doctors adjust medication doses remotely, in line with these inaudible vocal signals.

“Hopefully, in the next few years, this is going to come to practice,” says Dr. Lerman.

Still, in the face of that hope, privacy concerns remain. Voice is an identifier that’s protected by the federal Health Insurance Portability and Accountability Act, which requires privacy of personal health information. That is a major reason why no large voice databases exist yet, says Dr. Bensoussan. (This makes collecting samples from children especially challenging.) Perhaps more concerning is the potential for diagnosing disease based on voice alone. “You could use that tool on anyone, including officials like the president,” says Dr. Rameau.

But the primary hurdle is the ethical sourcing of data to ensure a diversity of vocal samples. For the Voice as a Biomarker project, the researchers will establish voice quotas for different races and ethnicities, ensuring algorithms can accurately analyze a range of accents. Data from people with speech impediments will also be gathered.

Despite these challenges, researchers are optimistic. “Vocal analysis is going to be a great equalizer and improve health outcomes,” predicts Dr. Anderson. “I’m really happy that we are beginning to understand the strength of the voice.”

A version of this article first appeared on WebMD.com.

Most of us have two voice changes in our lifetime: First during puberty, as the vocal cords thicken and the voice box migrates down the throat. Then a second time as aging causes structural changes that may weaken the voice.

But for some of us, there’s another voice shift, when a disease begins or when our mental health declines.

This is why more doctors are looking into voice as a biomarker – something that tells you that a disease is present.

Vital signs like blood pressure or heart rate “can give a general idea of how sick we are. But they’re not specific to certain diseases,” says Yael Bensoussan, MD, director of the University of South Florida, Tampa’s Health Voice Center and the coprincipal investigator for the National Institutes of Health’s Voice as a Biomarker of Health project.

“We’re learning that there are patterns” in voice changes that can indicate a range of conditions, including diseases of the nervous system and mental illnesses, she says.

Speaking is complicated, involving everything from the lungs and voice box to the mouth and brain. “A breakdown in any of those parts can affect the voice,” says Maria Powell, PhD, an assistant professor of otolaryngology (the study of diseases of the ear and throat) at Vanderbilt University, Nashville, Tenn., who is working on the NIH project.

You or those around you may not notice the changes. But researchers say voice analysis as a standard part of patient care – akin to blood pressure checks or cholesterol tests – could help identify those who need medical attention earlier.

Often, all it takes is a smartphone – “something that’s cheap, off-the-shelf, and that everyone can use,” says Ariana Anderson, PhD, director of the University of California, Los Angeles, Laboratory of Computational Neuropsychology.

“You can provide voice data in your pajamas, on your couch,” says Frank Rudzicz, PhD, a computer scientist for the NIH project. “It doesn’t require very complicated or expensive equipment, and it doesn’t require a lot of expertise to obtain.” Plus, multiple samples can be collected over time, giving a more accurate picture of health than a single snapshot from, say, a cognitive test.

Over the next 4 years, the Voice as a Biomarker team will receive nearly $18 million to gather a massive amount of voice data. The goal is 20,000-30,000 samples, along with health data about each person being studied. The result will be a sprawling database scientists can use to develop algorithms linking health conditions to the way we speak.

For the first 2 years, new data will be collected exclusively via universities and high-volume clinics to control quality and accuracy. Eventually, people will be invited to submit their own voice recordings, creating a crowdsourced dataset. “Google, Alexa, Amazon – they have access to tons of voice data,” says Dr. Bensoussan. “But it’s not usable in a clinical way, because they don’t have the health information.”

Dr. Bensoussan and her colleagues hope to fill that void with advance voice screening apps, which could prove especially valuable in remote communities that lack access to specialists or as a tool for telemedicine. Down the line, wearable devices with voice analysis could alert people with chronic conditions when they need to see a doctor.

“The watch says, ‘I’ve analyzed your breathing and coughing, and today, you’re really not doing well. You should go to the hospital,’ ” says Dr. Bensoussan, envisioning a wearable for patients with COPD. “It could tell people early that things are declining.”

Artificial intelligence may be better than a brain at pinpointing the right disease. For example, slurred speech could indicate Parkinson’s, a stroke, or ALS, among other things.

“We can hold approximately seven pieces of information in our head at one time,” says Dr. Rudzicz. “It’s really hard for us to get a holistic picture using dozens or hundreds of variables at once.” But a computer can consider a whole range of vocal markers at the same time, piecing them together for a more accurate assessment.

“The goal is not to outperform a ... clinician,” says Dr. Bensoussan. Yet the potential is unmistakably there: In a recent study of patients with cancer of the larynx, an automated voice analysis tool more accurately flagged the disease than laryngologists did. 

“Algorithms have a larger training base,” says Dr. Anderson, who developed an app called ChatterBaby that analyzes infant cries. “We have a million samples at our disposal to train our algorithms. I don’t know if I’ve heard a million different babies crying in my life.”

So which health conditions show the most promise for voice analysis? The Voice as a Biomarker project will focus on five categories.
 

Voice disorders (cancers of the larynx, vocal fold paralysis, benign lesions on the larynx)

Obviously, vocal changes are a hallmark of these conditions, which cause things like breathiness or “roughness,” a type of vocal irregularity. Hoarseness that lasts at least 2 weeks is often one of the earliest signs of laryngeal cancer. Yet it can take months – one study found 16 weeks was the average – for patients to see a doctor after noticing the changes. Even then, laryngologists still misdiagnosed some cases of cancer when relying on vocal cues alone.

Now imagine a different scenario: The patient speaks into a smartphone app. An algorithm compares the vocal sample with the voices of laryngeal cancer patients. The app spits out the estimated odds of laryngeal cancer, helping providers decide whether to offer the patient specialist care.

Or consider spasmodic dysphonia, a neurological voice disorder that triggers spasms in the muscles of the voice box, causing a strained or breathy voice. Doctors who lack experience with vocal disorders may miss the condition. This is why diagnosis takes an average of nearly 4.5 years, according to a study in the Journal of Voice, and may include everything from allergy testing to psychiatric evaluation, says Dr. Powell. Artificial intelligence technology trained to recognize the disorder could help eliminate such unnecessary testing.
 

Neurological and neurodegenerative disorders (Alzheimer’s, Parkinson’s, stroke, ALS) 

For Alzheimer’s and Parkinson’s, “one of the first changes that’s notable is voice,” usually appearing before a formal diagnosis, says Anais Rameau, MD, an assistant professor of laryngology at Weill Cornell Medicine, New York, and another member of the NIH project. Parkinson’s may soften the voice or make it sound monotone, while Alzheimer’s disease may change the content of speech, leading to an uptick in “umms” and a preference for pronouns over nouns.

With Parkinson’s, vocal changes can occur decades before movement is affected. If doctors could detect the disease at this stage, before tremor emerged, they might be able to flag patients for early intervention, says Max Little, PhD, project director for the Parkinson’s Voice Initiative. “That is the ‘holy grail’ for finding an eventual cure.”

Again, the smartphone shows potential. In a 2022 Australian study, an AI-powered app was able to identify people with Parkinson’s based on brief voice recordings, although the sample size was small. On a larger scale, the Parkinson’s Voice Initiative collected some 17,000 samples from people across the world. “The aim was to remotely detect those with the condition using a telephone call,” says Dr. Little. It did so with about 65% accuracy. “While this is not accurate enough for clinical use, it shows the potential of the idea,” he says.

Dr. Rudzicz worked on the team behind Winterlight, an iPad app that analyzes 550 features of speech to detect dementia and Alzheimer’s (as well as mental illness). “We deployed it in long-term care facilities,” he says, identifying patients who need further review of their mental skills. Stroke is another area of interest, because slurred speech is a highly subjective measure, says Dr. Anderson. AI technology could provide a more objective evaluation.
 

Mood and psychiatric disorders (depression, schizophrenia, bipolar disorders)

No established biomarkers exist for diagnosing depression. Yet if you’re feeling down, there’s a good chance your friends can tell – even over the phone.

“We carry a lot of our mood in our voice,” says Dr. Powell. Bipolar disorder can also alter voice, making it louder and faster during manic periods, then slower and quieter during depressive bouts. The catatonic stage of schizophrenia often comes with “a very monotone, robotic voice,” says Dr. Anderson. “These are all something an algorithm can measure.”

Apps are already being used – often in research settings – to monitor voices during phone calls, analyzing rate, rhythm, volume, and pitch, to predict mood changes. For example, the PRIORI project at the University of Michigan is working on a smartphone app to identify mood changes in people with bipolar disorder, especially shifts that could increase suicide risk.

The content of speech may also offer clues. In a University of California, Los Angeles, study published in the journal PLoS One, people with mental illnesses answered computer-programmed questions (like “How have you been over the past few days?”) over the phone. An app analyzed their word choices, paying attention to how they changed over time. The researchers found that AI analysis of mood aligned well with doctors’ assessments and that some people in the study actually felt more comfortable talking to a computer.
 

Respiratory disorders (pneumonia, COPD)

Beyond talking, respiratory sounds like gasping or coughing may point to specific conditions. “Emphysema cough is different, COPD cough is different,” says Dr. Bensoussan. Researchers are trying to find out if COVID-19 has a distinct cough.

Breathing sounds can also serve as signposts. “There are different sounds when we can’t breathe,” says Dr. Bensoussan. One is called stridor, a high-pitched wheezing often resulting from a blocked airway. “I see tons of people [with stridor] misdiagnosed for years – they’ve been told they have asthma, but they don’t,” says Dr. Bensoussan. AI analysis of these sounds could help doctors more quickly identify respiratory disorders.
 

Pediatric voice and speech disorders (speech and language delays, autism)

Babies who later have autism cry differently as early as 6 months of age, which means an app like ChatterBaby could help flag children for early intervention, says Dr. Anderson. Autism is linked to several other diagnoses, such as epilepsy and sleep disorders. So analyzing an infant’s cry could prompt pediatricians to screen for a range of conditions.

ChatterBaby has been “incredibly accurate” in identifying when babies are in pain, says Dr. Anderson, because pain increases muscle tension, resulting in a louder, more energetic cry. The next goal: “We’re collecting voices from babies around the world,” she says, and then tracking those children for 7 years, looking to see if early vocal signs could predict developmental disorders. Vocal samples from young children could serve a similar purpose.
 

And that’s only the beginning

Eventually, AI technology may pick up disease-related voice changes that we can’t even hear. In a new Mayo Clinic study, certain vocal features detectable by AI – but not by the human ear – were linked to a three-fold increase in the likelihood of having plaque buildup in the arteries.

“Voice is a huge spectrum of vibrations,” explains study author Amir Lerman, MD. “We hear a very narrow range.” 

The researchers aren’t sure why heart disease alters voice, but the autonomic nervous system may play a role, because it regulates the voice box as well as blood pressure and heart rate. Dr. Lerman says other conditions, like diseases of the nerves and gut, may similarly alter the voice. Beyond patient screening, this discovery could help doctors adjust medication doses remotely, in line with these inaudible vocal signals.

“Hopefully, in the next few years, this is going to come to practice,” says Dr. Lerman.

Still, in the face of that hope, privacy concerns remain. Voice is an identifier that’s protected by the federal Health Insurance Portability and Accountability Act, which requires privacy of personal health information. That is a major reason why no large voice databases exist yet, says Dr. Bensoussan. (This makes collecting samples from children especially challenging.) Perhaps more concerning is the potential for diagnosing disease based on voice alone. “You could use that tool on anyone, including officials like the president,” says Dr. Rameau.

But the primary hurdle is the ethical sourcing of data to ensure a diversity of vocal samples. For the Voice as a Biomarker project, the researchers will establish voice quotas for different races and ethnicities, ensuring algorithms can accurately analyze a range of accents. Data from people with speech impediments will also be gathered.

Despite these challenges, researchers are optimistic. “Vocal analysis is going to be a great equalizer and improve health outcomes,” predicts Dr. Anderson. “I’m really happy that we are beginning to understand the strength of the voice.”

A version of this article first appeared on WebMD.com.

Most of us have two voice changes in our lifetime: First during puberty, as the vocal cords thicken and the voice box migrates down the throat. Then a second time as aging causes structural changes that may weaken the voice.

But for some of us, there’s another voice shift, when a disease begins or when our mental health declines.

This is why more doctors are looking into voice as a biomarker – something that tells you that a disease is present.

Vital signs like blood pressure or heart rate “can give a general idea of how sick we are. But they’re not specific to certain diseases,” says Yael Bensoussan, MD, director of the University of South Florida, Tampa’s Health Voice Center and the coprincipal investigator for the National Institutes of Health’s Voice as a Biomarker of Health project.

“We’re learning that there are patterns” in voice changes that can indicate a range of conditions, including diseases of the nervous system and mental illnesses, she says.

Speaking is complicated, involving everything from the lungs and voice box to the mouth and brain. “A breakdown in any of those parts can affect the voice,” says Maria Powell, PhD, an assistant professor of otolaryngology (the study of diseases of the ear and throat) at Vanderbilt University, Nashville, Tenn., who is working on the NIH project.

You or those around you may not notice the changes. But researchers say voice analysis as a standard part of patient care – akin to blood pressure checks or cholesterol tests – could help identify those who need medical attention earlier.

Often, all it takes is a smartphone – “something that’s cheap, off-the-shelf, and that everyone can use,” says Ariana Anderson, PhD, director of the University of California, Los Angeles, Laboratory of Computational Neuropsychology.

“You can provide voice data in your pajamas, on your couch,” says Frank Rudzicz, PhD, a computer scientist for the NIH project. “It doesn’t require very complicated or expensive equipment, and it doesn’t require a lot of expertise to obtain.” Plus, multiple samples can be collected over time, giving a more accurate picture of health than a single snapshot from, say, a cognitive test.

Over the next 4 years, the Voice as a Biomarker team will receive nearly $18 million to gather a massive amount of voice data. The goal is 20,000-30,000 samples, along with health data about each person being studied. The result will be a sprawling database scientists can use to develop algorithms linking health conditions to the way we speak.

For the first 2 years, new data will be collected exclusively via universities and high-volume clinics to control quality and accuracy. Eventually, people will be invited to submit their own voice recordings, creating a crowdsourced dataset. “Google, Alexa, Amazon – they have access to tons of voice data,” says Dr. Bensoussan. “But it’s not usable in a clinical way, because they don’t have the health information.”

Dr. Bensoussan and her colleagues hope to fill that void with advance voice screening apps, which could prove especially valuable in remote communities that lack access to specialists or as a tool for telemedicine. Down the line, wearable devices with voice analysis could alert people with chronic conditions when they need to see a doctor.

“The watch says, ‘I’ve analyzed your breathing and coughing, and today, you’re really not doing well. You should go to the hospital,’ ” says Dr. Bensoussan, envisioning a wearable for patients with COPD. “It could tell people early that things are declining.”

Artificial intelligence may be better than a brain at pinpointing the right disease. For example, slurred speech could indicate Parkinson’s, a stroke, or ALS, among other things.

“We can hold approximately seven pieces of information in our head at one time,” says Dr. Rudzicz. “It’s really hard for us to get a holistic picture using dozens or hundreds of variables at once.” But a computer can consider a whole range of vocal markers at the same time, piecing them together for a more accurate assessment.

“The goal is not to outperform a ... clinician,” says Dr. Bensoussan. Yet the potential is unmistakably there: In a recent study of patients with cancer of the larynx, an automated voice analysis tool more accurately flagged the disease than laryngologists did. 

“Algorithms have a larger training base,” says Dr. Anderson, who developed an app called ChatterBaby that analyzes infant cries. “We have a million samples at our disposal to train our algorithms. I don’t know if I’ve heard a million different babies crying in my life.”

So which health conditions show the most promise for voice analysis? The Voice as a Biomarker project will focus on five categories.
 

Voice disorders (cancers of the larynx, vocal fold paralysis, benign lesions on the larynx)

Obviously, vocal changes are a hallmark of these conditions, which cause things like breathiness or “roughness,” a type of vocal irregularity. Hoarseness that lasts at least 2 weeks is often one of the earliest signs of laryngeal cancer. Yet it can take months – one study found 16 weeks was the average – for patients to see a doctor after noticing the changes. Even then, laryngologists still misdiagnosed some cases of cancer when relying on vocal cues alone.

Now imagine a different scenario: The patient speaks into a smartphone app. An algorithm compares the vocal sample with the voices of laryngeal cancer patients. The app spits out the estimated odds of laryngeal cancer, helping providers decide whether to offer the patient specialist care.

Or consider spasmodic dysphonia, a neurological voice disorder that triggers spasms in the muscles of the voice box, causing a strained or breathy voice. Doctors who lack experience with vocal disorders may miss the condition. This is why diagnosis takes an average of nearly 4.5 years, according to a study in the Journal of Voice, and may include everything from allergy testing to psychiatric evaluation, says Dr. Powell. Artificial intelligence technology trained to recognize the disorder could help eliminate such unnecessary testing.
 

Neurological and neurodegenerative disorders (Alzheimer’s, Parkinson’s, stroke, ALS) 

For Alzheimer’s and Parkinson’s, “one of the first changes that’s notable is voice,” usually appearing before a formal diagnosis, says Anais Rameau, MD, an assistant professor of laryngology at Weill Cornell Medicine, New York, and another member of the NIH project. Parkinson’s may soften the voice or make it sound monotone, while Alzheimer’s disease may change the content of speech, leading to an uptick in “umms” and a preference for pronouns over nouns.

With Parkinson’s, vocal changes can occur decades before movement is affected. If doctors could detect the disease at this stage, before tremor emerged, they might be able to flag patients for early intervention, says Max Little, PhD, project director for the Parkinson’s Voice Initiative. “That is the ‘holy grail’ for finding an eventual cure.”

Again, the smartphone shows potential. In a 2022 Australian study, an AI-powered app was able to identify people with Parkinson’s based on brief voice recordings, although the sample size was small. On a larger scale, the Parkinson’s Voice Initiative collected some 17,000 samples from people across the world. “The aim was to remotely detect those with the condition using a telephone call,” says Dr. Little. It did so with about 65% accuracy. “While this is not accurate enough for clinical use, it shows the potential of the idea,” he says.

Dr. Rudzicz worked on the team behind Winterlight, an iPad app that analyzes 550 features of speech to detect dementia and Alzheimer’s (as well as mental illness). “We deployed it in long-term care facilities,” he says, identifying patients who need further review of their mental skills. Stroke is another area of interest, because slurred speech is a highly subjective measure, says Dr. Anderson. AI technology could provide a more objective evaluation.
 

Mood and psychiatric disorders (depression, schizophrenia, bipolar disorders)

No established biomarkers exist for diagnosing depression. Yet if you’re feeling down, there’s a good chance your friends can tell – even over the phone.

“We carry a lot of our mood in our voice,” says Dr. Powell. Bipolar disorder can also alter voice, making it louder and faster during manic periods, then slower and quieter during depressive bouts. The catatonic stage of schizophrenia often comes with “a very monotone, robotic voice,” says Dr. Anderson. “These are all something an algorithm can measure.”

Apps are already being used – often in research settings – to monitor voices during phone calls, analyzing rate, rhythm, volume, and pitch, to predict mood changes. For example, the PRIORI project at the University of Michigan is working on a smartphone app to identify mood changes in people with bipolar disorder, especially shifts that could increase suicide risk.

The content of speech may also offer clues. In a University of California, Los Angeles, study published in the journal PLoS One, people with mental illnesses answered computer-programmed questions (like “How have you been over the past few days?”) over the phone. An app analyzed their word choices, paying attention to how they changed over time. The researchers found that AI analysis of mood aligned well with doctors’ assessments and that some people in the study actually felt more comfortable talking to a computer.
 

Respiratory disorders (pneumonia, COPD)

Beyond talking, respiratory sounds like gasping or coughing may point to specific conditions. “Emphysema cough is different, COPD cough is different,” says Dr. Bensoussan. Researchers are trying to find out if COVID-19 has a distinct cough.

Breathing sounds can also serve as signposts. “There are different sounds when we can’t breathe,” says Dr. Bensoussan. One is called stridor, a high-pitched wheezing often resulting from a blocked airway. “I see tons of people [with stridor] misdiagnosed for years – they’ve been told they have asthma, but they don’t,” says Dr. Bensoussan. AI analysis of these sounds could help doctors more quickly identify respiratory disorders.
 

Pediatric voice and speech disorders (speech and language delays, autism)

Babies who later have autism cry differently as early as 6 months of age, which means an app like ChatterBaby could help flag children for early intervention, says Dr. Anderson. Autism is linked to several other diagnoses, such as epilepsy and sleep disorders. So analyzing an infant’s cry could prompt pediatricians to screen for a range of conditions.

ChatterBaby has been “incredibly accurate” in identifying when babies are in pain, says Dr. Anderson, because pain increases muscle tension, resulting in a louder, more energetic cry. The next goal: “We’re collecting voices from babies around the world,” she says, and then tracking those children for 7 years, looking to see if early vocal signs could predict developmental disorders. Vocal samples from young children could serve a similar purpose.
 

And that’s only the beginning

Eventually, AI technology may pick up disease-related voice changes that we can’t even hear. In a new Mayo Clinic study, certain vocal features detectable by AI – but not by the human ear – were linked to a three-fold increase in the likelihood of having plaque buildup in the arteries.

“Voice is a huge spectrum of vibrations,” explains study author Amir Lerman, MD. “We hear a very narrow range.” 

The researchers aren’t sure why heart disease alters voice, but the autonomic nervous system may play a role, because it regulates the voice box as well as blood pressure and heart rate. Dr. Lerman says other conditions, like diseases of the nerves and gut, may similarly alter the voice. Beyond patient screening, this discovery could help doctors adjust medication doses remotely, in line with these inaudible vocal signals.

“Hopefully, in the next few years, this is going to come to practice,” says Dr. Lerman.

Still, in the face of that hope, privacy concerns remain. Voice is an identifier that’s protected by the federal Health Insurance Portability and Accountability Act, which requires privacy of personal health information. That is a major reason why no large voice databases exist yet, says Dr. Bensoussan. (This makes collecting samples from children especially challenging.) Perhaps more concerning is the potential for diagnosing disease based on voice alone. “You could use that tool on anyone, including officials like the president,” says Dr. Rameau.

But the primary hurdle is the ethical sourcing of data to ensure a diversity of vocal samples. For the Voice as a Biomarker project, the researchers will establish voice quotas for different races and ethnicities, ensuring algorithms can accurately analyze a range of accents. Data from people with speech impediments will also be gathered.

Despite these challenges, researchers are optimistic. “Vocal analysis is going to be a great equalizer and improve health outcomes,” predicts Dr. Anderson. “I’m really happy that we are beginning to understand the strength of the voice.”

A version of this article first appeared on WebMD.com.

The Global Initiative for Chronic Obstructive Lung Disease (GOLD) Report is revised annually and is used widely throughout the world as a tool for implementing effective management.

Among the updates in the 2023 GOLD Report, the section on diagnostic criteria added a proposed new category “PRISm,” denoting “preserved ratio impaired spirometry,” encompassing individuals who present with structural lung lesions (for example, emphysema) and/or other physiological abnormalities such as low-normal forced expiratory volume in 1 second (FEV₁), gas trapping, hyperinflation, reduced lung diffusing capacity and/or rapid FEV₁ decline, but without airflow obstruction (FEV₁/FEV ≥ 0.7 post bronchodilation). Some of these “pre-COPD” (chronic obstructive pulmonary disease) individuals, who have a normal ratio but abnormal spirometry are at risk over time of developing airflow obstruction. The best treatment for them, beyond smoking cessation, needs to be determined through research, the report states.
 

Clinical updates

The GOLD 2023 Report also offers proposed clinical guidance, in the absence of high-quality clinical trial evidence, on initial pharmacologic management of COPD. The proposal is based on individual assessment of symptoms and exacerbation risk following use of the ABE Assessment Tool, a revised version of the ABCD Assessment Tool that recognizes the clinical relevance of exacerbations independent of symptom level.

These updates to information and figures pertaining to initial pharmacological treatment and follow-up pharmacological treatment revise the positioning of LABA (long-acting beta₂ agonists) plus LAMA (long-acting muscarinic agonists) and LABA/ICS (inhaled corticosteroids). Among GOLD group A patients with 0 or 1 moderate exacerbations that do not lead to hospital admission, a bronchodilator is recommended.

The recommendation for group B patients is LABA/LAMA with the caveat that single inhaler therapy may be more convenient and effective than multiple inhalers. For group E patients with two or more moderate exacerbations or one or more leading to hospitalization, LABA/LAMA is recommended (with the same inhaler therapy caveat). With blood eosinophil levels at 300 or higher, LABA/LAMA/ICS may be considered.

Commenting on the combination recommendations in a press release, Antonio Anzueto, MD, professor of medicine, pulmonary critical care, University of Texas Health, San Antonio, stated: “From a physician’s perspective, we are always grateful to receive well-vetted and informed recommendations on how we can best utilize available treatment options to provide the most benefit to our patients. The new 2023 GOLD recommendations represent a meaningful change for the treatment of COPD by prioritizing the utilization of a fixed LAMA/LABA combination.”
 

More interventions

In a section on therapeutic interventions to reduce COPD mortality, the report lists studies showing mortality benefits for fixed-dose inhaled triple combinations (LABA + LAMA + ICS) versus dual inhaled long-acting bronchodilations, and for smoking cessation and pulmonary rehabilitation.

Also new is a strong emphasis on inhaler choice, education, and technique training with assessment of inhaler technique and adherence urged as a prerequisite to judging whether current therapy as insufficient. The report summarizes principles guiding inhaler type selection.

The report also added a section on chronic bronchitis, defining it as a common but variable condition in COPD patients with cough and expectorated sputum on a regular basis over a defined period in the absence of other conditions plausibly causing symptoms.

The fact that chronic bronchitis is sometimes found in never-smokers suggests the involvement of other factors such as exposure to inhaled dusts, biomass fuels, chemical fumes, or domestic heating and cooking fuels, according to the report. Gastroesophageal reflux may also be associated with chronic bronchitis.

The report discusses various taxonomic terms for different types of COPD, such as COPD-G for genetically determined COPD, COPD-D for those with abnormal lung development, and COPD-C for COPD associated with cigarette smoking, etc.
 

Change in exacerbations

The report also revises the definition of a COPD exacerbation as “an event characterized by increased dyspnea and/or cough and sputum that worsens in less than 14 days which may be accompanied by tachypnea and/or tachycardia and is often associated with increased local and system inflammation caused by infection, pollution, or other insult to the airways.” To overcome limitations conferred by the current grading of COPD exacerbations, the 2023 report proposes a four-step point-of-contact diagnosis and assessment tool.

Telemedicine

Given the constraints brought on by COVID-19 on top of the generally sparse availability of programs and facilities for delivering well-proven pulmonary rehabilitation methods, tele-rehabilitation has been proposed as an alternative to traditional approaches. While the evidence base is still evolving and best practices have not yet been established, the GOLD Report calls for better understanding of barriers to tele-rehabilitation success.

Comorbidities update

The GOLD Report chapter on COPD and comorbidities was also updated, and lists cardiovascular disease, lung cancer, osteoporosis, depression/anxiety, and gastroesophageal reflux disease as common comorbid conditions which may affect prognosis and, in the case of cancer, mortality. The report urges simplicity of treatment to minimize polypharmacy. While annual low-dose CT is recommended for COPD caused by smoking, it is not recommended for COPD caused by smoking; data are insufficient to establish benefit over harm.

While the GOLD Report “COVID-19 and COPD” chapter summarizes current evidence stating that individuals with COPD do not seem to be at substantially greater risk of infection with SARS-CoV-2, it underscores that they are at higher risk of hospitalization for COVID-19 and may be at higher risk for developing severe disease and death.

Many other topics are included in the updated report, among them screening, imaging, vaccinations, adherence to therapy, and surgical and bronchoscopic interventions. In its closing section, the GOLD Report 2023 reiterates its mission, stating: “The GOLD initiative will continue to work with National Leaders and other interested health care professionals to bring COPD to the attention of governments, public health officials, health care workers, and the general public, to raise awareness of the burden of COPD and to develop programs for early detection, prevention and approaches to management.

The Global Initiative for Chronic Obstructive Lung Disease (GOLD) Report is revised annually and is used widely throughout the world as a tool for implementing effective management.

Among the updates in the 2023 GOLD Report, the section on diagnostic criteria added a proposed new category “PRISm,” denoting “preserved ratio impaired spirometry,” encompassing individuals who present with structural lung lesions (for example, emphysema) and/or other physiological abnormalities such as low-normal forced expiratory volume in 1 second (FEV₁), gas trapping, hyperinflation, reduced lung diffusing capacity and/or rapid FEV₁ decline, but without airflow obstruction (FEV₁/FEV ≥ 0.7 post bronchodilation). Some of these “pre-COPD” (chronic obstructive pulmonary disease) individuals, who have a normal ratio but abnormal spirometry are at risk over time of developing airflow obstruction. The best treatment for them, beyond smoking cessation, needs to be determined through research, the report states.
 

Clinical updates

The GOLD 2023 Report also offers proposed clinical guidance, in the absence of high-quality clinical trial evidence, on initial pharmacologic management of COPD. The proposal is based on individual assessment of symptoms and exacerbation risk following use of the ABE Assessment Tool, a revised version of the ABCD Assessment Tool that recognizes the clinical relevance of exacerbations independent of symptom level.

These updates to information and figures pertaining to initial pharmacological treatment and follow-up pharmacological treatment revise the positioning of LABA (long-acting beta₂ agonists) plus LAMA (long-acting muscarinic agonists) and LABA/ICS (inhaled corticosteroids). Among GOLD group A patients with 0 or 1 moderate exacerbations that do not lead to hospital admission, a bronchodilator is recommended.

The recommendation for group B patients is LABA/LAMA with the caveat that single inhaler therapy may be more convenient and effective than multiple inhalers. For group E patients with two or more moderate exacerbations or one or more leading to hospitalization, LABA/LAMA is recommended (with the same inhaler therapy caveat). With blood eosinophil levels at 300 or higher, LABA/LAMA/ICS may be considered.

Commenting on the combination recommendations in a press release, Antonio Anzueto, MD, professor of medicine, pulmonary critical care, University of Texas Health, San Antonio, stated: “From a physician’s perspective, we are always grateful to receive well-vetted and informed recommendations on how we can best utilize available treatment options to provide the most benefit to our patients. The new 2023 GOLD recommendations represent a meaningful change for the treatment of COPD by prioritizing the utilization of a fixed LAMA/LABA combination.”
 

More interventions

In a section on therapeutic interventions to reduce COPD mortality, the report lists studies showing mortality benefits for fixed-dose inhaled triple combinations (LABA + LAMA + ICS) versus dual inhaled long-acting bronchodilations, and for smoking cessation and pulmonary rehabilitation.

Also new is a strong emphasis on inhaler choice, education, and technique training with assessment of inhaler technique and adherence urged as a prerequisite to judging whether current therapy as insufficient. The report summarizes principles guiding inhaler type selection.

The report also added a section on chronic bronchitis, defining it as a common but variable condition in COPD patients with cough and expectorated sputum on a regular basis over a defined period in the absence of other conditions plausibly causing symptoms.

The fact that chronic bronchitis is sometimes found in never-smokers suggests the involvement of other factors such as exposure to inhaled dusts, biomass fuels, chemical fumes, or domestic heating and cooking fuels, according to the report. Gastroesophageal reflux may also be associated with chronic bronchitis.

The report discusses various taxonomic terms for different types of COPD, such as COPD-G for genetically determined COPD, COPD-D for those with abnormal lung development, and COPD-C for COPD associated with cigarette smoking, etc.
 

Change in exacerbations

The report also revises the definition of a COPD exacerbation as “an event characterized by increased dyspnea and/or cough and sputum that worsens in less than 14 days which may be accompanied by tachypnea and/or tachycardia and is often associated with increased local and system inflammation caused by infection, pollution, or other insult to the airways.” To overcome limitations conferred by the current grading of COPD exacerbations, the 2023 report proposes a four-step point-of-contact diagnosis and assessment tool.

Telemedicine

Given the constraints brought on by COVID-19 on top of the generally sparse availability of programs and facilities for delivering well-proven pulmonary rehabilitation methods, tele-rehabilitation has been proposed as an alternative to traditional approaches. While the evidence base is still evolving and best practices have not yet been established, the GOLD Report calls for better understanding of barriers to tele-rehabilitation success.

Comorbidities update

The GOLD Report chapter on COPD and comorbidities was also updated, and lists cardiovascular disease, lung cancer, osteoporosis, depression/anxiety, and gastroesophageal reflux disease as common comorbid conditions which may affect prognosis and, in the case of cancer, mortality. The report urges simplicity of treatment to minimize polypharmacy. While annual low-dose CT is recommended for COPD caused by smoking, it is not recommended for COPD caused by smoking; data are insufficient to establish benefit over harm.

While the GOLD Report “COVID-19 and COPD” chapter summarizes current evidence stating that individuals with COPD do not seem to be at substantially greater risk of infection with SARS-CoV-2, it underscores that they are at higher risk of hospitalization for COVID-19 and may be at higher risk for developing severe disease and death.

Many other topics are included in the updated report, among them screening, imaging, vaccinations, adherence to therapy, and surgical and bronchoscopic interventions. In its closing section, the GOLD Report 2023 reiterates its mission, stating: “The GOLD initiative will continue to work with National Leaders and other interested health care professionals to bring COPD to the attention of governments, public health officials, health care workers, and the general public, to raise awareness of the burden of COPD and to develop programs for early detection, prevention and approaches to management.

The Global Initiative for Chronic Obstructive Lung Disease (GOLD) Report is revised annually and is used widely throughout the world as a tool for implementing effective management.

Among the updates in the 2023 GOLD Report, the section on diagnostic criteria added a proposed new category “PRISm,” denoting “preserved ratio impaired spirometry,” encompassing individuals who present with structural lung lesions (for example, emphysema) and/or other physiological abnormalities such as low-normal forced expiratory volume in 1 second (FEV₁), gas trapping, hyperinflation, reduced lung diffusing capacity and/or rapid FEV₁ decline, but without airflow obstruction (FEV₁/FEV ≥ 0.7 post bronchodilation). Some of these “pre-COPD” (chronic obstructive pulmonary disease) individuals, who have a normal ratio but abnormal spirometry are at risk over time of developing airflow obstruction. The best treatment for them, beyond smoking cessation, needs to be determined through research, the report states.
 

Clinical updates

The GOLD 2023 Report also offers proposed clinical guidance, in the absence of high-quality clinical trial evidence, on initial pharmacologic management of COPD. The proposal is based on individual assessment of symptoms and exacerbation risk following use of the ABE Assessment Tool, a revised version of the ABCD Assessment Tool that recognizes the clinical relevance of exacerbations independent of symptom level.

These updates to information and figures pertaining to initial pharmacological treatment and follow-up pharmacological treatment revise the positioning of LABA (long-acting beta₂ agonists) plus LAMA (long-acting muscarinic agonists) and LABA/ICS (inhaled corticosteroids). Among GOLD group A patients with 0 or 1 moderate exacerbations that do not lead to hospital admission, a bronchodilator is recommended.

The recommendation for group B patients is LABA/LAMA with the caveat that single inhaler therapy may be more convenient and effective than multiple inhalers. For group E patients with two or more moderate exacerbations or one or more leading to hospitalization, LABA/LAMA is recommended (with the same inhaler therapy caveat). With blood eosinophil levels at 300 or higher, LABA/LAMA/ICS may be considered.

Commenting on the combination recommendations in a press release, Antonio Anzueto, MD, professor of medicine, pulmonary critical care, University of Texas Health, San Antonio, stated: “From a physician’s perspective, we are always grateful to receive well-vetted and informed recommendations on how we can best utilize available treatment options to provide the most benefit to our patients. The new 2023 GOLD recommendations represent a meaningful change for the treatment of COPD by prioritizing the utilization of a fixed LAMA/LABA combination.”
 

More interventions

In a section on therapeutic interventions to reduce COPD mortality, the report lists studies showing mortality benefits for fixed-dose inhaled triple combinations (LABA + LAMA + ICS) versus dual inhaled long-acting bronchodilations, and for smoking cessation and pulmonary rehabilitation.

Also new is a strong emphasis on inhaler choice, education, and technique training with assessment of inhaler technique and adherence urged as a prerequisite to judging whether current therapy as insufficient. The report summarizes principles guiding inhaler type selection.

The report also added a section on chronic bronchitis, defining it as a common but variable condition in COPD patients with cough and expectorated sputum on a regular basis over a defined period in the absence of other conditions plausibly causing symptoms.

The fact that chronic bronchitis is sometimes found in never-smokers suggests the involvement of other factors such as exposure to inhaled dusts, biomass fuels, chemical fumes, or domestic heating and cooking fuels, according to the report. Gastroesophageal reflux may also be associated with chronic bronchitis.

The report discusses various taxonomic terms for different types of COPD, such as COPD-G for genetically determined COPD, COPD-D for those with abnormal lung development, and COPD-C for COPD associated with cigarette smoking, etc.
 

Change in exacerbations

The report also revises the definition of a COPD exacerbation as “an event characterized by increased dyspnea and/or cough and sputum that worsens in less than 14 days which may be accompanied by tachypnea and/or tachycardia and is often associated with increased local and system inflammation caused by infection, pollution, or other insult to the airways.” To overcome limitations conferred by the current grading of COPD exacerbations, the 2023 report proposes a four-step point-of-contact diagnosis and assessment tool.

Telemedicine

Given the constraints brought on by COVID-19 on top of the generally sparse availability of programs and facilities for delivering well-proven pulmonary rehabilitation methods, tele-rehabilitation has been proposed as an alternative to traditional approaches. While the evidence base is still evolving and best practices have not yet been established, the GOLD Report calls for better understanding of barriers to tele-rehabilitation success.

Comorbidities update

The GOLD Report chapter on COPD and comorbidities was also updated, and lists cardiovascular disease, lung cancer, osteoporosis, depression/anxiety, and gastroesophageal reflux disease as common comorbid conditions which may affect prognosis and, in the case of cancer, mortality. The report urges simplicity of treatment to minimize polypharmacy. While annual low-dose CT is recommended for COPD caused by smoking, it is not recommended for COPD caused by smoking; data are insufficient to establish benefit over harm.

While the GOLD Report “COVID-19 and COPD” chapter summarizes current evidence stating that individuals with COPD do not seem to be at substantially greater risk of infection with SARS-CoV-2, it underscores that they are at higher risk of hospitalization for COVID-19 and may be at higher risk for developing severe disease and death.

Many other topics are included in the updated report, among them screening, imaging, vaccinations, adherence to therapy, and surgical and bronchoscopic interventions. In its closing section, the GOLD Report 2023 reiterates its mission, stating: “The GOLD initiative will continue to work with National Leaders and other interested health care professionals to bring COPD to the attention of governments, public health officials, health care workers, and the general public, to raise awareness of the burden of COPD and to develop programs for early detection, prevention and approaches to management.

Obstructive sleep apnea (OSA) was associated with both impaired functional performance during exercise and overall worse outcomes in patients with chronic obstructive pulmonary disease (COPD), based on data from 34 adults.

Individuals with COPD are at increased risk for hospital readmissions and disease exacerbations, Patricia Faria Camargo, PhD, of Federal University of São Carlos (Brazil), and colleagues wrote. These patients often have concomitant obstructive sleep apnea, which itself can promote adverse cardiovascular events, but the impact of the overlap of these two conditions on clinical outcomes has not been explored.

In a study published in Heart & Lung, the researchers recruited 17 adults with COPD only and 17 with OSA and COPD. At baseline, patients underwent pulmonary function tests, echocardiography, and polysomnography to confirm their OSA and COPD diagnoses.

The primary endpoint was the impact of OSA on functional performance and cardiac autonomic control in COPD patients, based on measures of heart rate variability and the 6-minute walk test (6MWT). Participants were followed for 1 year, with telephone contacts every 3 months. A secondary endpoint was the number of exacerbations, hospitalizations, and deaths. At baseline, OSA-COPD patients had worse polysomnographic function, compared with COPD patients; they also tended to be older and have higher body mass index, but other demographics were similar between the groups.

Overall, patients in the OSA-COPD group had significantly greater functional impairment, compared with the COPD group (P = .003), as measured by the 6MWT. The OSA-COPD patients also showed significantly worse autonomic response during exercise, compared with the COPD group.

A lower work load during exercise and the interaction between group and time factors suggests that OSA impacts the exercise capacity of COPD patients, the researchers said. Notably, however, neither age nor body mass index was associated with functional performance in the OSA-COPD group.

Patients in the OSA-COPD group also were significantly more likely to experience exacerbations during the study period, compared with the COPD-only group (67.4% vs. 23.5; P = .03). However, the severity of COPD was similar between the groups, which further illustrates that OSA can impair functional performance in COPD patients, the researchers said.

The findings were limited by several factors including the small sample size and restricted collection of follow-up data during the pandemic, the researchers noted. However, the results support previous studies, and suggest that overlapping OSA and COPD produces worse outcomes.

“Future studies can confirm our findings, providing new clinical evidences to the assessment of sleep quality in COPD patients and its implications for the general health status of these individuals, in addition to contributing to more assertive clinical and therapeutic alternative support the need for more research into the mechanisms behind this overlap in larger samples to develop treatment alternatives,” they concluded.

The study was supported by the Federal University of Sao Carlos. The researchers had no financial conflicts to disclose.
 

Obstructive sleep apnea (OSA) was associated with both impaired functional performance during exercise and overall worse outcomes in patients with chronic obstructive pulmonary disease (COPD), based on data from 34 adults.

Individuals with COPD are at increased risk for hospital readmissions and disease exacerbations, Patricia Faria Camargo, PhD, of Federal University of São Carlos (Brazil), and colleagues wrote. These patients often have concomitant obstructive sleep apnea, which itself can promote adverse cardiovascular events, but the impact of the overlap of these two conditions on clinical outcomes has not been explored.

In a study published in Heart & Lung, the researchers recruited 17 adults with COPD only and 17 with OSA and COPD. At baseline, patients underwent pulmonary function tests, echocardiography, and polysomnography to confirm their OSA and COPD diagnoses.

The primary endpoint was the impact of OSA on functional performance and cardiac autonomic control in COPD patients, based on measures of heart rate variability and the 6-minute walk test (6MWT). Participants were followed for 1 year, with telephone contacts every 3 months. A secondary endpoint was the number of exacerbations, hospitalizations, and deaths. At baseline, OSA-COPD patients had worse polysomnographic function, compared with COPD patients; they also tended to be older and have higher body mass index, but other demographics were similar between the groups.

Overall, patients in the OSA-COPD group had significantly greater functional impairment, compared with the COPD group (P = .003), as measured by the 6MWT. The OSA-COPD patients also showed significantly worse autonomic response during exercise, compared with the COPD group.

A lower work load during exercise and the interaction between group and time factors suggests that OSA impacts the exercise capacity of COPD patients, the researchers said. Notably, however, neither age nor body mass index was associated with functional performance in the OSA-COPD group.

Patients in the OSA-COPD group also were significantly more likely to experience exacerbations during the study period, compared with the COPD-only group (67.4% vs. 23.5; P = .03). However, the severity of COPD was similar between the groups, which further illustrates that OSA can impair functional performance in COPD patients, the researchers said.

The findings were limited by several factors including the small sample size and restricted collection of follow-up data during the pandemic, the researchers noted. However, the results support previous studies, and suggest that overlapping OSA and COPD produces worse outcomes.

“Future studies can confirm our findings, providing new clinical evidences to the assessment of sleep quality in COPD patients and its implications for the general health status of these individuals, in addition to contributing to more assertive clinical and therapeutic alternative support the need for more research into the mechanisms behind this overlap in larger samples to develop treatment alternatives,” they concluded.

The study was supported by the Federal University of Sao Carlos. The researchers had no financial conflicts to disclose.
 

Obstructive sleep apnea (OSA) was associated with both impaired functional performance during exercise and overall worse outcomes in patients with chronic obstructive pulmonary disease (COPD), based on data from 34 adults.

Individuals with COPD are at increased risk for hospital readmissions and disease exacerbations, Patricia Faria Camargo, PhD, of Federal University of São Carlos (Brazil), and colleagues wrote. These patients often have concomitant obstructive sleep apnea, which itself can promote adverse cardiovascular events, but the impact of the overlap of these two conditions on clinical outcomes has not been explored.

In a study published in Heart & Lung, the researchers recruited 17 adults with COPD only and 17 with OSA and COPD. At baseline, patients underwent pulmonary function tests, echocardiography, and polysomnography to confirm their OSA and COPD diagnoses.

The primary endpoint was the impact of OSA on functional performance and cardiac autonomic control in COPD patients, based on measures of heart rate variability and the 6-minute walk test (6MWT). Participants were followed for 1 year, with telephone contacts every 3 months. A secondary endpoint was the number of exacerbations, hospitalizations, and deaths. At baseline, OSA-COPD patients had worse polysomnographic function, compared with COPD patients; they also tended to be older and have higher body mass index, but other demographics were similar between the groups.

Overall, patients in the OSA-COPD group had significantly greater functional impairment, compared with the COPD group (P = .003), as measured by the 6MWT. The OSA-COPD patients also showed significantly worse autonomic response during exercise, compared with the COPD group.

A lower work load during exercise and the interaction between group and time factors suggests that OSA impacts the exercise capacity of COPD patients, the researchers said. Notably, however, neither age nor body mass index was associated with functional performance in the OSA-COPD group.

Patients in the OSA-COPD group also were significantly more likely to experience exacerbations during the study period, compared with the COPD-only group (67.4% vs. 23.5; P = .03). However, the severity of COPD was similar between the groups, which further illustrates that OSA can impair functional performance in COPD patients, the researchers said.

The findings were limited by several factors including the small sample size and restricted collection of follow-up data during the pandemic, the researchers noted. However, the results support previous studies, and suggest that overlapping OSA and COPD produces worse outcomes.

“Future studies can confirm our findings, providing new clinical evidences to the assessment of sleep quality in COPD patients and its implications for the general health status of these individuals, in addition to contributing to more assertive clinical and therapeutic alternative support the need for more research into the mechanisms behind this overlap in larger samples to develop treatment alternatives,” they concluded.

The study was supported by the Federal University of Sao Carlos. The researchers had no financial conflicts to disclose.