Affiliations
Department of General Internal Medicine, Rakuwakai Otowa Hospital, Kyoto, Japan
Email
jun‐miya@umin.ac.jp
Given name(s)
Jun
Family name
Miyashita
Degrees
MD, MPH

SIAD in Elderly Pneumonia Patients

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Impact of hyponatremia and the syndrome of inappropriate antidiuresis on mortality in elderly patients with aspiration pneumonia

One of the most common causes of hospitalization in the elderly is aspiration pneumonia related to dysphagia due to numerous underlying diseases.1 Thus, it is clinically important to identify prognostic factors associated with increased mortality in elderly patients with aspiration pneumonia. Hyponatremia is the most common electrolyte abnormality in hospitalized patients occurring in up to 11% of elderly patients in hospital.2 Previous studies have suggested that the presence and degree of hyponatremia is associated with the severity of pneumonia in adults and children, although the results have differed among studies.37

Hyponatremia is caused by various factors, including volume depletion, use of diuretics, hypothyroidism, adrenal insufficiency, heart failure, renal failure, and cirrhosis. Additionally, the syndrome of inappropriate antidiuresis (SIAD) is a frequent and heterogeneous disorder characterized by hyponatremia and impaired urinary dilution in the absence of any recognized stimulation of antidiuretic hormone secretion.8 Because not all patients with SIAD have elevated circulating levels of arginine vasopressin (AVP), the term SIAD is preferred to the term syndrome of inappropriate secretion of antidiuretic hormone (SIADH).9 One study has shown an association between the severity of pneumonia in children and the development of hyponatremia due to SIAD.10 To our knowledge, there have been no studies evaluating the impact of different causes of hyponatremia on mortality in elderly patients with aspiration pneumonia.

We therefore sought to investigate whether hyponatremia of all etiologies (all‐cause hyponatremia) was associated with mortality in elderly patients with aspiration pneumonia. Additionally, we compared the impact of hyponatremia due to SIAD, with hyponatremia of other etiologies, on mortality in this population

METHODS

Patients and Data Source

The Aspiration Pneumonia Dataset (APD) is the product of a retrospective analysis of elderly patients hospitalized with aspiration pneumonia from July 2004 to March 2007, performed by our second author (T.S.). The aim of the APD was to provide a dataset to allow for the development of a prediction rule for mortality, in elderly patients with aspiration pneumonia. All patients were hospitalized at Rakuwakai Otowa Hospital, in Kyoto, Japan, a 430‐bed community teaching hospital. Patients hospitalized with a diagnosis of aspiration pneumonia were identified, but those who required intensive care unit level care or intubation were excluded. The diagnosis of aspiration pneumonia was based on clinical evaluation, including a history of aspiration, a comorbidity associated with aspiration, symptoms or objective findings relevant to the respiratory system, and chest radiographic findings consistent with pneumonia.

From the APD dataset, we identified patients with hyponatremia at admission. After abstraction of the data, clinical charts were examined to obtain the data relevant to the etiologies of hyponatremia. The data were reviewed independently by 2 internal medicine physicians (J.M. and T.S.). Disagreements were resolved by consensus. Inter‐rater agreement was evaluated by using kappa statistics. The study was approved by the Ethics Committee of the Kyoto University Graduate School and Faculty of Medicine (project approval No. E290).

Definition of Hyponatremia and Its Causes

The definitions of hyponatremia and SIAD are given in Table 1. Hyponatremia was defined as serum sodium <135 mEq/L. Normonatremia was defined as serum sodium 135 mEq/L and 145 mEq/L, and hypernatremia was defined as serum sodium >145 mEq/L. Severity of hyponatremia was defined as mild (130 Na <135 mEq/L), moderate (125 Na <130 mEq/L), or severe (Na <125 mEq/L). Effective serum osmolality was calculated by the formula: [Effective serum osmolality (mOsm/kg H2O) = 2 Na (mEq/L) + glucose (mg/dL)/18].9 Hypotonic hyponatremia was defined as hyponatremia in the setting of effective serum osmolality <280 mOsm/kg H2O. Hypotonic hyponatremia was classified by extracellular fluid volume (ECFV) status as hypovolemic, SIAD euvolemic, non‐SIAD euvolemic or hypervolemic.11, 12

Definition of Each Class of Hypotonic Hyponatremia
  • Abbreviations: ECFV, extracellular fluid volume; SIAD, syndrome of inappropriate antidiuresis.

  • Defined as having 1 or more positive findings among these criteria.

  • Adapted from Ellison and Berl,9 Hannon and Thompson,12 and Decaux and Musch.20

Hypovolemic*1. Either of the terms volume depletion or hypovolemic documented in the admission notes.
2. Clinical signs suggestive of volume depletion observed on physical examination and documented in admission notes (ie, dry oral cavity or dry skin in the axilla).
3. Volume depletion detected by biochemical or physiological examination (ie, metabolic alkalosis in arterial gas studies or collapsed inferior vena cava on echocardiography, respectively).
4. Increase in sodium concentration to within the normal range, together with decrease in blood urea nitrogen, following administration of hypotonic fluid.
Euvolemic*1. The term euvolemic documented in admission notes.
2. Criteria for hypovolemic and hypervolemic hyponatremia not met.
Hypervolemic*1. The terms hypervolemic or an excess of ECFV documented in admission notes.
2. Clinical signs suggestive of an excess of ECFV observed on physical examination and documented in admission notes (ie, edema or jugular venous distension).
3. Excess of ECFV detected by physiological examination (ie, dilated inferior vena cava on echocardiography).
SIADEuvolemic hyponatremia with the following findings:
Urinary sodium concentration >30 mEq/L;
Urinary osmolality >100 mOsm/kg H2O;
Normal thyroid, adrenal, and renal function.

Clinical Outcomes

The primary outcome of analysis was defined as mortality within 30 days of admission (30‐day mortality). The secondary outcome was defined as mortality during the hospital stay (in‐hospital mortality).

Statistical Methods

First, for the subsequent analyses, we used a cohort from which hypernatremia and non‐hypotonic hyponatremia patients were excluded. Multivariate logistic regression was used to evaluate the impacts of hyponatremia and SIAD on the outcomes of interest. The following baseline risk factors associated with the severity of pneumonia in previous studies were considered for inclusion in the multivariate model1315: age, gender, living in a care facility, use of a feeding tube, disorientation, systolic blood pressure <90 mmHg or diastolic blood pressure <60 mmHg, heart rate >125 beats/min, body temperature <35C or >40C, respiratory failure (defined as oxygen saturation 90% or partial pressure of oxygen 60 mmHg or respiratory rate >30 breaths/min), blood glucose >250 mg/dL, anemia (defined as hematocrit <30%), blood urea nitrogen (BUN) >20 mg/dL, serum C‐reactive protein >10 mg/dL, serum albumin <3 g/dL, congestive heart failure, diabetes mellitus, chronic respiratory disease, malignancy, cirrhosis, chronic kidney failure, and central nervous system disease. The severity of pneumonia was evaluated by using the 6‐point scale of the A‐DROP (Age, Dehydration, Respiratory failure, Orientation disturbance, and low blood Pressure) scoring system proposed by the Japanese Respiratory Society.15 This is a modified version of the CURB‐65 (Confusion, Uremia, Respiratory rate, BP, age 65 years) clinical prediction rule and assesses the following parameters: age (men 70 years; women 75 years), dehydration (BUN concentration 21 mg/dL), respiratory failure (oxygen saturation 90%, partial pressure of oxygen 60 mmHg, ratio of partial pressure of oxygen to fraction of inspired oxygen 300), orientation disturbance (defined as disorientation at admission), and systolic blood pressure <90 mmHg. Patients with scores of 0 or 1 were classified as mild, patients scoring 2 as moderate, and patients scoring 3 to 5 as severe. In univariate analyses, the chi‐squared test was used. Those variables with P < 0.2 in the univariate analyses were included in the multivariate analyses. The HosmerLemeshow test was used to assess the goodness‐of‐fit for multivariate logistic regression models. Data were analyzed with STATA 10 (StataCorp, College Station, TX). Two‐tailed P values <0.05 were considered statistically significant.

RESULTS

The baseline characteristics of the study population are listed in Table 2. There were 221 elderly patients identified as having aspiration pneumonia. Of those, 65 (29%) had hyponatremia; 3 (5%) with non‐hypotonic and 62 (95%) with hypotonic hyponatremia. In the latter group, patients were characterized has having hypovolemic (39 [63%]), hypervolemic (3 [5%]), and euvolemic (20 [32%]) hyponatremia. Among the euvolemic patients, SIAD occurred in 14 (70%) of patients. Non‐SIAD euvolemic hyponatremia occurred in 6 (30%) patients and was associated with hypothyroidism (1 patient), adrenal insufficiency (1 patient), and was unclassifiable due to lack of available clinical data in 4 patients. The kappa value was 0.87 for inter‐rater agreement of the classification of hypotonic hyponatremia.

Baseline Characteristics of Population (n = 221)
  • Abbreviations: A‐DROP, Age, Dehydration, Respiratory failure, Orientation disturbance, and low blood Pressure scoring system; IQR, interquartile range; LOS, length of stay.

  • Mean SD.

  • n (%).

  • Median (IQR).

  • Range.

Age (yr)84 8.6*
Male90 (41)
Living in care facilities143 (65)
Use of a feeding tube40 (18)
Comorbidity 
Congestive heart failure21 (10)
Diabetes mellitus33 (15)
Chronic respiratory disease31 (14)
Malignancy14 (6)
Liver cirrhosis13 (6)
Chronic renal failure23 (10)
Central nervous system disease194 (88)
Disorientation36 (16)
Systolic blood pressure (mmHg)131 28*
Heart rate (beats/min)92 20*
Body temperature (C)37.5 1.1*
Respiratory rate (breaths/min)24 (IQR, 2030)
Oxygen saturation (%)95 (IQR, 9197)
pH7.44 (IQR, 7.407.47)
Glucose (mg/dL)140 57*
Hematocrit (%)34.7 5.9*
Blood urea nitrogen (mg/dL)22.7 15*
C‐reactive protein (mg/dL)5.2 (IQR, 1.811.7)
Albumin (g/dL)3.3 0.60*
A‐DROP severity class 
Mild (score, 0 or 1)83 (38)
Moderate (score, 2)84 (38)
Severe (score, 35)54 (24)
Sodium (mEq/L)137 6.98*
Sodium range (mEq/L)101162
Distribution and classification of sodium concentration (mEq/L) 
Hypernatremia: Na >14516 (7)
Normonatremia: 135 Na 145140 (64)
Hyponatremia: Na <13565 (29)
Mild: 130 Na <13544 (20)
Moderate: 125 Na <13011 (5)
Severe: Na <12510 (4)
Length of stay (days)34.6 39*
30‐day mortality28 (13)
LOS in these patients (days)14.7 9.6
In‐hospital mortality63 (29)
LOS in these patients (days)41.9 33.8*

The following variables were included in multivariate logistic analyses: congestive heart failure, cirrhosis, chronic renal failure, disorientation, body temperature <35C or >40C, anemia, and serum albumin <3 g/dL (see Supporting Information, Appendix, in the online version of this article).

In the multivariate logistic analyses, all‐cause hyponatremia was not associated with increased 30‐day mortality (odds ratio [OR] 1.85, 95% confidence interval [CI] 0.635.48; P = 0.262), but was associated with a trend toward increased risk of in‐hospital mortality (OR 2.10, 95% CI 1.004.42; P = 0.050) (Table 3). Moderate and severe hyponatremia were both significantly associated with increased in‐hospital mortality (OR 6.05, 95% CI 1.4625.0; P = 0.013 and OR 5.65, 95% CI 1.1428.1; P = 0.034, respectively). The same trends were observed for 30‐day mortality, although the results were not statistically significant. No such trend was observed for mild hyponatremia.

Outcomes of Aspiration Pneumonia Patients by Severity of Hypotonic Hyponatremia
 NormonatremiaHypotonic Hyponatremia
All‐CauseMildModerateSevere
n = 140n = 62n = 42n = 10n = 10
  • NOTE: Multivariate logistic regression models: Model 1 (hypotonic hyponatremia vs normonatremia), and Model 2 (mild, moderate, and severe hypotonic hyponatremia vs normonatremia) were adjusted for disorientation, congestive heart failure, cirrhosis, chronic renal failure, body temperature <35C or >40C, anemia, and serum albumin <3 g/dL. Abbreviations: CI, confidence interval; ref, reference group. Bolded P values represent values of less than 0.05.

30‐day mortality, n (%)11 (8)11 (17)4 (10)2 (18)4 (60)
Odds ratio (95% CI)1 (ref)1.85 (0.635.48)1.30 (0.354.82)3.15 (0.5019.9)3.44 (0.5719.3)
P value P = 0.262P = 0.691P = 0.222P = 0.184
In‐hospital mortality, n (%)28 (20)25 (39)10 (24)6 (55)7 (70)
Odds ratio (95% CI)1 (ref)2.10 (1.004.42)1.26 (0.523.07)6.05 (1.4625.0)5.65 (1.1428.1)
P value P = 0.050P = 0.606P = 0.013P = 0.034

In the multivariate logistic regression analyses, hypotonic hyponatremia due to SIAD was significantly associated with both increased risk of 30‐day mortality (OR 7.40, 95% CI 1.7331.7; P = 0.007) and increased risk of in‐hospital mortality (OR 22.3, 95% CI 4.26117; P < 0.001) (Table 4). In contrast, hypovolemic or non‐SIAD euvolemic hyponatremia was associated with neither increased risk of 30‐day mortality nor increased risk of in‐hospital mortality. There were too few hypervolemic hyponatremia patients for us to perform effective logistic analyses. The P values of the HosmerLemeshow tests were 0.45 for the multivariate logistic regression model (hypovolemic, SIAD, and non‐SIAD euvolemic vs normonatremia) with 30‐day mortality, and 0.30 for the model with in‐hospital mortality.

Outcomes in Aspiration Pneumonia Patients by Etiology of Hypotonic Hyponatremia
 NormonatremiaHypotonic Hyponatremia
HypovolemicEuvolemicHypervolemic
SIADnon‐SIAD*
n = 140n = 39n = 14n = 6n = 3
  • NOTE: The multivariate logistic regression model (hypovolemic, SIAD, and non‐SIAD euvolemic vs normonatremia) was adjusted for disorientation, congestive heart failure, cirrhosis, chronic renal failure, body temperature <35C or >40C, anemia, and serum albumin <3 g/dL. Abbreviations: CI, confidence interval; ref, reference group; SIAD, syndrome of inappropriate antidiuresis;.

  • Including patients with hypothyroidism (n = 1) and adrenal insufficiency (n = 1), none of whom died. Bolded P values represent values of less than 0.05.

30‐day mortality, n (%)11 (8)2 (5)6 (43)1 (17)1 (33)
Odds ratio (95% CI)1 (ref)0.58 (0.113.10)7.40 (1.7331.7)2.71 (0.2430.6) 
P value P = 0.525P = 0.007P = 0.421 
In‐hospital mortality, n (%)28 (20)7 (18)12 (86)1 (17)3 (100)
Odds ratio (95% CI)1 (ref)0.85 (0.322.30)22.3 (4.26117)0.93 (0.108.98) 
P value P = 0.751P < 0.001P = 0.948 

Six patients with SIAD were classified as having an A‐DROP severity class of mild, 4 as moderate, and 4 as severe (P = 0.908, Wilcoxon‐type test for trend). There was no association between the occurrence of SIAD and the severity of pneumonia.

DISCUSSION

We demonstrated that mortality in elderly patients with aspiration pneumonia was significantly associated with SIAD, but not with all‐cause hyponatremia. Unlike SIAD, other etiologies of hyponatremia were not associated with mortality in elderly patients with aspiration pneumonia. A recent study by Waikar and colleagues concluded that hyponatremia subgrouped by severity was not significantly associated with in‐hospital mortality in pneumonia patients, although a trend between severe hyponatremia and mortality was observed.16 Likewise, a study by Zilberberg and colleagues reported no significant increased risk of death with hyponatremia compared with normonatremia.4 These results are similar to our results for all‐cause hyponatremia and for hyponatremia subgrouped by severity. In contrast, a study by Nair and colleagues reported some increased risk of death with hyponatremia.5 Our results suggest that the heterogeneity of these previous results was probably due to the fact that SIAD was not identified in these other studies.

While the rationale for increased mortality in patients with pneumonia associated with SIAD is not known, it may be that there is a direct deleterious effect of elevated AVP. AVP has 3 distinct receptor subtypes, V1A, V1B, and V2. Stimulation of the V1A receptor in vascular smooth muscle promotes an increase in systemic vascular resistance, and stimulation of the same receptor in cardiac myocytes promotes myocyte hypertrophy. Stimulation of the V1B receptor in the anterior pituitary promotes adrenocorticotropic hormone release, and stimulation of the V2 receptor in the renal collecting ducts promotes an increase in water retention, which plays the main role in SIAD.1719 Our hypothesis in elderly SIAD patients with aspiration pneumonia is that increased AVP levels may lead not only to water retention and hyponatremia, but also to other effects such as vasoconstriction and myocyte hypertrophy, which may adversely influence the cardiovascular systems of elderly patients (Figure 1).

Figure 1
Activation of the V1A receptor may increase vasoconstriction and cause myocyte hypertrophy through the synthesis of endothelin and the release of angiotensin II. These effects of V1A receptor activation, as well as water retention via V2 receptor activation, may adversely affect the cardiovascular system. Abbreviations: AVP, arginine vasopressin. [Color figure can be viewed in the online issue, which is available at wileyonlinelibrary.com.]

In our study, SIAD in elderly patients with aspiration pneumonia was more strongly associated with in‐hospital mortality than with 30‐day mortality. The average length of stay (LOS) of all patients dying in hospital (42 days) was significantly longer than the average LOS of those dying within 30 days of admission (15 days; P < 0.001, MannWhitney Test; Table 2). These findings suggest that SIAD was associated more strongly with longer‐term mortality than with acute‐stage mortality. The reason for the association between SIAD and longer‐term mortality remains unclear, although there may be some association between longer‐term mortality and the pathophysiologic mechanisms of AVP.

Our study has some limitations. First, because of the retrospective observational design, there is a potential for bias. We used multivariate analyses adjusted for confounding factors, however, other residual confounding factors may have remained. In addition, since the diagnosis of pneumonia was based on chart review, there may have been imprecision in the accuracy of diagnosing aspiration pneumonia. Aspiration pneumonia sometimes occurs without apparent episodes of aspiration, and this would have led to underdiagnosis. In contrast, aspiration pneumonitis can be mistaken for aspiration pneumonia; this would have led to overdiagnosis.

Second, volume status is difficult to evaluate prospectively, and thus by nature of our design, appropriate assignment of volume status was difficult. Several studies have used test infusions of isotonic saline to discriminate between these alternatives, but because our study was retrospective, we were unable to use this test.11, 20 Some studies have reported that, in patients in a state of volume depletion, volume repletion removes the stimulus for antidiuretic hormone release, allowing excess water to be excreted in a dilute urine and the serum sodium concentration to return toward normal.21, 22 According to this theory, instead of using an isotonic test infusion, we added in our study a criterion of volume depletion in which patients with a sustained increase in serum sodium concentration of 5 mEq/L and a sustained decrease in blood urea nitrogen, even with administration of hypotonic solution, were classified as volume depleted.

Third, all patients were analyzed according to status on admission, although some patients with hypovolemic hyponatremia at admission were found to have hyponatremia due to SIAD after admission.

Fourth, because the sample size of this study was small with our results revealing wide confidence intervals, an effect between other causes of hyponatremia and mortality might not have been identified. However, for 80% power, the calculated sample size was 100 non‐SIAD patients with aspiration pneumonia versus 10 SIAD patients, given that the mortality rate of elderly patients with aspiration pneumonia was, at a moderate estimate, 15% according to the studies of both Stukenborg and colleagues and Oliver and colleagues, and the mortality rate of SIAD patients was increased by 400% compared with that of non‐SIAD patients according to the study of Song and colleagues, with an alpha error of 0.05.7, 23, 24 Our sample size was therefore greater than the required size.

Fifth, because the APD dataset was compiled in 2007 for another study, it was not concurrent, and this may have led to other limitations in interpreting the data.

Finally, in Japan, the average length of hospital stay was 36.3 days in 2004 and 34.1 days in 2007much longer than other developed countries.25 Because of this situation, in‐hospital mortality, and not 30‐day mortality, represented long‐term mortality. Therefore, our results may not be easily applicable to the situation in other developed countries.

In conclusion, our results suggest that the presence of SIAD on admission in elderly patients with aspiration pneumonia is associated with increased mortality. This novel finding should be re‐evaluated, but it does raise the question of a direct, negative impact of AVP on patients' clinical outcomes. In the future, a larger prospective cohort study should be conducted to confirm the findings of this study, given the small sample size and the retrospective nature of the study. Additionally, a different population of pneumonia patients, such as those with community‐acquired pneumonia, should be examined to further evaluate the etiologies of hyponatremia in pneumonia and the association between hyponatremia of these different etiologies and mortality.

Acknowledgements

Disclosures: Jun Miyashita and Toshihiko Shimada report receiving a grant‐in‐aid from the Ministry of Health, Labour and Welfare of Japan, Development of Clinical Research Fellowship (Principal Investigator, Shunichi Fukuhara), grant H18‐001. No other potential conflict of interest relevant to this article was reported.

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References
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  4. Zilberberg MD,Exuzides A,Spalding J, et al.Hyponatremia and hospital outcomes among patients with pneumonia: a retrospective cohort study.BMC Pulm Med.2008;8(2):16.
  5. Nair V,Niederman MS,Masani N,Fishbane S.Hyponatremia in community‐acquired pneumonia.Am J Nephrol.2007;27(2):184190.
  6. Don M,Valerio G,Korppi M,Canciani M.Hyponatremia in pediatric community‐acquired pneumonia.Pediatr Nephrol.2008;23(12):22472253.
  7. Song JH,Oh WS,Kang CI, et al.Epidemiology and clinical outcomes of community‐acquired pneumonia in adult patients in Asian countries: a prospective study by the Asian network for surveillance of resistant pathogens.Int J Antimicrob Agents.2008;31(2):107114.
  8. Bartter FC,Schwartz WB.The syndrome of inappropriate secretion of antidiuretic hormone.Am J Med.1967;42(5):790806.
  9. Ellison DH,Berl T.Clinical practice. The syndrome of inappropriate antidiuresis.N Engl J Med.2007;356(20):20642072.
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  12. Hannon MJ,Thompson CJ.The syndrome of inappropriate antidiuretic hormone: prevalence, causes and consequences.Eur J Endocrinol.2010;162(suppl 1):S5S12.
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One of the most common causes of hospitalization in the elderly is aspiration pneumonia related to dysphagia due to numerous underlying diseases.1 Thus, it is clinically important to identify prognostic factors associated with increased mortality in elderly patients with aspiration pneumonia. Hyponatremia is the most common electrolyte abnormality in hospitalized patients occurring in up to 11% of elderly patients in hospital.2 Previous studies have suggested that the presence and degree of hyponatremia is associated with the severity of pneumonia in adults and children, although the results have differed among studies.37

Hyponatremia is caused by various factors, including volume depletion, use of diuretics, hypothyroidism, adrenal insufficiency, heart failure, renal failure, and cirrhosis. Additionally, the syndrome of inappropriate antidiuresis (SIAD) is a frequent and heterogeneous disorder characterized by hyponatremia and impaired urinary dilution in the absence of any recognized stimulation of antidiuretic hormone secretion.8 Because not all patients with SIAD have elevated circulating levels of arginine vasopressin (AVP), the term SIAD is preferred to the term syndrome of inappropriate secretion of antidiuretic hormone (SIADH).9 One study has shown an association between the severity of pneumonia in children and the development of hyponatremia due to SIAD.10 To our knowledge, there have been no studies evaluating the impact of different causes of hyponatremia on mortality in elderly patients with aspiration pneumonia.

We therefore sought to investigate whether hyponatremia of all etiologies (all‐cause hyponatremia) was associated with mortality in elderly patients with aspiration pneumonia. Additionally, we compared the impact of hyponatremia due to SIAD, with hyponatremia of other etiologies, on mortality in this population

METHODS

Patients and Data Source

The Aspiration Pneumonia Dataset (APD) is the product of a retrospective analysis of elderly patients hospitalized with aspiration pneumonia from July 2004 to March 2007, performed by our second author (T.S.). The aim of the APD was to provide a dataset to allow for the development of a prediction rule for mortality, in elderly patients with aspiration pneumonia. All patients were hospitalized at Rakuwakai Otowa Hospital, in Kyoto, Japan, a 430‐bed community teaching hospital. Patients hospitalized with a diagnosis of aspiration pneumonia were identified, but those who required intensive care unit level care or intubation were excluded. The diagnosis of aspiration pneumonia was based on clinical evaluation, including a history of aspiration, a comorbidity associated with aspiration, symptoms or objective findings relevant to the respiratory system, and chest radiographic findings consistent with pneumonia.

From the APD dataset, we identified patients with hyponatremia at admission. After abstraction of the data, clinical charts were examined to obtain the data relevant to the etiologies of hyponatremia. The data were reviewed independently by 2 internal medicine physicians (J.M. and T.S.). Disagreements were resolved by consensus. Inter‐rater agreement was evaluated by using kappa statistics. The study was approved by the Ethics Committee of the Kyoto University Graduate School and Faculty of Medicine (project approval No. E290).

Definition of Hyponatremia and Its Causes

The definitions of hyponatremia and SIAD are given in Table 1. Hyponatremia was defined as serum sodium <135 mEq/L. Normonatremia was defined as serum sodium 135 mEq/L and 145 mEq/L, and hypernatremia was defined as serum sodium >145 mEq/L. Severity of hyponatremia was defined as mild (130 Na <135 mEq/L), moderate (125 Na <130 mEq/L), or severe (Na <125 mEq/L). Effective serum osmolality was calculated by the formula: [Effective serum osmolality (mOsm/kg H2O) = 2 Na (mEq/L) + glucose (mg/dL)/18].9 Hypotonic hyponatremia was defined as hyponatremia in the setting of effective serum osmolality <280 mOsm/kg H2O. Hypotonic hyponatremia was classified by extracellular fluid volume (ECFV) status as hypovolemic, SIAD euvolemic, non‐SIAD euvolemic or hypervolemic.11, 12

Definition of Each Class of Hypotonic Hyponatremia
  • Abbreviations: ECFV, extracellular fluid volume; SIAD, syndrome of inappropriate antidiuresis.

  • Defined as having 1 or more positive findings among these criteria.

  • Adapted from Ellison and Berl,9 Hannon and Thompson,12 and Decaux and Musch.20

Hypovolemic*1. Either of the terms volume depletion or hypovolemic documented in the admission notes.
2. Clinical signs suggestive of volume depletion observed on physical examination and documented in admission notes (ie, dry oral cavity or dry skin in the axilla).
3. Volume depletion detected by biochemical or physiological examination (ie, metabolic alkalosis in arterial gas studies or collapsed inferior vena cava on echocardiography, respectively).
4. Increase in sodium concentration to within the normal range, together with decrease in blood urea nitrogen, following administration of hypotonic fluid.
Euvolemic*1. The term euvolemic documented in admission notes.
2. Criteria for hypovolemic and hypervolemic hyponatremia not met.
Hypervolemic*1. The terms hypervolemic or an excess of ECFV documented in admission notes.
2. Clinical signs suggestive of an excess of ECFV observed on physical examination and documented in admission notes (ie, edema or jugular venous distension).
3. Excess of ECFV detected by physiological examination (ie, dilated inferior vena cava on echocardiography).
SIADEuvolemic hyponatremia with the following findings:
Urinary sodium concentration >30 mEq/L;
Urinary osmolality >100 mOsm/kg H2O;
Normal thyroid, adrenal, and renal function.

Clinical Outcomes

The primary outcome of analysis was defined as mortality within 30 days of admission (30‐day mortality). The secondary outcome was defined as mortality during the hospital stay (in‐hospital mortality).

Statistical Methods

First, for the subsequent analyses, we used a cohort from which hypernatremia and non‐hypotonic hyponatremia patients were excluded. Multivariate logistic regression was used to evaluate the impacts of hyponatremia and SIAD on the outcomes of interest. The following baseline risk factors associated with the severity of pneumonia in previous studies were considered for inclusion in the multivariate model1315: age, gender, living in a care facility, use of a feeding tube, disorientation, systolic blood pressure <90 mmHg or diastolic blood pressure <60 mmHg, heart rate >125 beats/min, body temperature <35C or >40C, respiratory failure (defined as oxygen saturation 90% or partial pressure of oxygen 60 mmHg or respiratory rate >30 breaths/min), blood glucose >250 mg/dL, anemia (defined as hematocrit <30%), blood urea nitrogen (BUN) >20 mg/dL, serum C‐reactive protein >10 mg/dL, serum albumin <3 g/dL, congestive heart failure, diabetes mellitus, chronic respiratory disease, malignancy, cirrhosis, chronic kidney failure, and central nervous system disease. The severity of pneumonia was evaluated by using the 6‐point scale of the A‐DROP (Age, Dehydration, Respiratory failure, Orientation disturbance, and low blood Pressure) scoring system proposed by the Japanese Respiratory Society.15 This is a modified version of the CURB‐65 (Confusion, Uremia, Respiratory rate, BP, age 65 years) clinical prediction rule and assesses the following parameters: age (men 70 years; women 75 years), dehydration (BUN concentration 21 mg/dL), respiratory failure (oxygen saturation 90%, partial pressure of oxygen 60 mmHg, ratio of partial pressure of oxygen to fraction of inspired oxygen 300), orientation disturbance (defined as disorientation at admission), and systolic blood pressure <90 mmHg. Patients with scores of 0 or 1 were classified as mild, patients scoring 2 as moderate, and patients scoring 3 to 5 as severe. In univariate analyses, the chi‐squared test was used. Those variables with P < 0.2 in the univariate analyses were included in the multivariate analyses. The HosmerLemeshow test was used to assess the goodness‐of‐fit for multivariate logistic regression models. Data were analyzed with STATA 10 (StataCorp, College Station, TX). Two‐tailed P values <0.05 were considered statistically significant.

RESULTS

The baseline characteristics of the study population are listed in Table 2. There were 221 elderly patients identified as having aspiration pneumonia. Of those, 65 (29%) had hyponatremia; 3 (5%) with non‐hypotonic and 62 (95%) with hypotonic hyponatremia. In the latter group, patients were characterized has having hypovolemic (39 [63%]), hypervolemic (3 [5%]), and euvolemic (20 [32%]) hyponatremia. Among the euvolemic patients, SIAD occurred in 14 (70%) of patients. Non‐SIAD euvolemic hyponatremia occurred in 6 (30%) patients and was associated with hypothyroidism (1 patient), adrenal insufficiency (1 patient), and was unclassifiable due to lack of available clinical data in 4 patients. The kappa value was 0.87 for inter‐rater agreement of the classification of hypotonic hyponatremia.

Baseline Characteristics of Population (n = 221)
  • Abbreviations: A‐DROP, Age, Dehydration, Respiratory failure, Orientation disturbance, and low blood Pressure scoring system; IQR, interquartile range; LOS, length of stay.

  • Mean SD.

  • n (%).

  • Median (IQR).

  • Range.

Age (yr)84 8.6*
Male90 (41)
Living in care facilities143 (65)
Use of a feeding tube40 (18)
Comorbidity 
Congestive heart failure21 (10)
Diabetes mellitus33 (15)
Chronic respiratory disease31 (14)
Malignancy14 (6)
Liver cirrhosis13 (6)
Chronic renal failure23 (10)
Central nervous system disease194 (88)
Disorientation36 (16)
Systolic blood pressure (mmHg)131 28*
Heart rate (beats/min)92 20*
Body temperature (C)37.5 1.1*
Respiratory rate (breaths/min)24 (IQR, 2030)
Oxygen saturation (%)95 (IQR, 9197)
pH7.44 (IQR, 7.407.47)
Glucose (mg/dL)140 57*
Hematocrit (%)34.7 5.9*
Blood urea nitrogen (mg/dL)22.7 15*
C‐reactive protein (mg/dL)5.2 (IQR, 1.811.7)
Albumin (g/dL)3.3 0.60*
A‐DROP severity class 
Mild (score, 0 or 1)83 (38)
Moderate (score, 2)84 (38)
Severe (score, 35)54 (24)
Sodium (mEq/L)137 6.98*
Sodium range (mEq/L)101162
Distribution and classification of sodium concentration (mEq/L) 
Hypernatremia: Na >14516 (7)
Normonatremia: 135 Na 145140 (64)
Hyponatremia: Na <13565 (29)
Mild: 130 Na <13544 (20)
Moderate: 125 Na <13011 (5)
Severe: Na <12510 (4)
Length of stay (days)34.6 39*
30‐day mortality28 (13)
LOS in these patients (days)14.7 9.6
In‐hospital mortality63 (29)
LOS in these patients (days)41.9 33.8*

The following variables were included in multivariate logistic analyses: congestive heart failure, cirrhosis, chronic renal failure, disorientation, body temperature <35C or >40C, anemia, and serum albumin <3 g/dL (see Supporting Information, Appendix, in the online version of this article).

In the multivariate logistic analyses, all‐cause hyponatremia was not associated with increased 30‐day mortality (odds ratio [OR] 1.85, 95% confidence interval [CI] 0.635.48; P = 0.262), but was associated with a trend toward increased risk of in‐hospital mortality (OR 2.10, 95% CI 1.004.42; P = 0.050) (Table 3). Moderate and severe hyponatremia were both significantly associated with increased in‐hospital mortality (OR 6.05, 95% CI 1.4625.0; P = 0.013 and OR 5.65, 95% CI 1.1428.1; P = 0.034, respectively). The same trends were observed for 30‐day mortality, although the results were not statistically significant. No such trend was observed for mild hyponatremia.

Outcomes of Aspiration Pneumonia Patients by Severity of Hypotonic Hyponatremia
 NormonatremiaHypotonic Hyponatremia
All‐CauseMildModerateSevere
n = 140n = 62n = 42n = 10n = 10
  • NOTE: Multivariate logistic regression models: Model 1 (hypotonic hyponatremia vs normonatremia), and Model 2 (mild, moderate, and severe hypotonic hyponatremia vs normonatremia) were adjusted for disorientation, congestive heart failure, cirrhosis, chronic renal failure, body temperature <35C or >40C, anemia, and serum albumin <3 g/dL. Abbreviations: CI, confidence interval; ref, reference group. Bolded P values represent values of less than 0.05.

30‐day mortality, n (%)11 (8)11 (17)4 (10)2 (18)4 (60)
Odds ratio (95% CI)1 (ref)1.85 (0.635.48)1.30 (0.354.82)3.15 (0.5019.9)3.44 (0.5719.3)
P value P = 0.262P = 0.691P = 0.222P = 0.184
In‐hospital mortality, n (%)28 (20)25 (39)10 (24)6 (55)7 (70)
Odds ratio (95% CI)1 (ref)2.10 (1.004.42)1.26 (0.523.07)6.05 (1.4625.0)5.65 (1.1428.1)
P value P = 0.050P = 0.606P = 0.013P = 0.034

In the multivariate logistic regression analyses, hypotonic hyponatremia due to SIAD was significantly associated with both increased risk of 30‐day mortality (OR 7.40, 95% CI 1.7331.7; P = 0.007) and increased risk of in‐hospital mortality (OR 22.3, 95% CI 4.26117; P < 0.001) (Table 4). In contrast, hypovolemic or non‐SIAD euvolemic hyponatremia was associated with neither increased risk of 30‐day mortality nor increased risk of in‐hospital mortality. There were too few hypervolemic hyponatremia patients for us to perform effective logistic analyses. The P values of the HosmerLemeshow tests were 0.45 for the multivariate logistic regression model (hypovolemic, SIAD, and non‐SIAD euvolemic vs normonatremia) with 30‐day mortality, and 0.30 for the model with in‐hospital mortality.

Outcomes in Aspiration Pneumonia Patients by Etiology of Hypotonic Hyponatremia
 NormonatremiaHypotonic Hyponatremia
HypovolemicEuvolemicHypervolemic
SIADnon‐SIAD*
n = 140n = 39n = 14n = 6n = 3
  • NOTE: The multivariate logistic regression model (hypovolemic, SIAD, and non‐SIAD euvolemic vs normonatremia) was adjusted for disorientation, congestive heart failure, cirrhosis, chronic renal failure, body temperature <35C or >40C, anemia, and serum albumin <3 g/dL. Abbreviations: CI, confidence interval; ref, reference group; SIAD, syndrome of inappropriate antidiuresis;.

  • Including patients with hypothyroidism (n = 1) and adrenal insufficiency (n = 1), none of whom died. Bolded P values represent values of less than 0.05.

30‐day mortality, n (%)11 (8)2 (5)6 (43)1 (17)1 (33)
Odds ratio (95% CI)1 (ref)0.58 (0.113.10)7.40 (1.7331.7)2.71 (0.2430.6) 
P value P = 0.525P = 0.007P = 0.421 
In‐hospital mortality, n (%)28 (20)7 (18)12 (86)1 (17)3 (100)
Odds ratio (95% CI)1 (ref)0.85 (0.322.30)22.3 (4.26117)0.93 (0.108.98) 
P value P = 0.751P < 0.001P = 0.948 

Six patients with SIAD were classified as having an A‐DROP severity class of mild, 4 as moderate, and 4 as severe (P = 0.908, Wilcoxon‐type test for trend). There was no association between the occurrence of SIAD and the severity of pneumonia.

DISCUSSION

We demonstrated that mortality in elderly patients with aspiration pneumonia was significantly associated with SIAD, but not with all‐cause hyponatremia. Unlike SIAD, other etiologies of hyponatremia were not associated with mortality in elderly patients with aspiration pneumonia. A recent study by Waikar and colleagues concluded that hyponatremia subgrouped by severity was not significantly associated with in‐hospital mortality in pneumonia patients, although a trend between severe hyponatremia and mortality was observed.16 Likewise, a study by Zilberberg and colleagues reported no significant increased risk of death with hyponatremia compared with normonatremia.4 These results are similar to our results for all‐cause hyponatremia and for hyponatremia subgrouped by severity. In contrast, a study by Nair and colleagues reported some increased risk of death with hyponatremia.5 Our results suggest that the heterogeneity of these previous results was probably due to the fact that SIAD was not identified in these other studies.

While the rationale for increased mortality in patients with pneumonia associated with SIAD is not known, it may be that there is a direct deleterious effect of elevated AVP. AVP has 3 distinct receptor subtypes, V1A, V1B, and V2. Stimulation of the V1A receptor in vascular smooth muscle promotes an increase in systemic vascular resistance, and stimulation of the same receptor in cardiac myocytes promotes myocyte hypertrophy. Stimulation of the V1B receptor in the anterior pituitary promotes adrenocorticotropic hormone release, and stimulation of the V2 receptor in the renal collecting ducts promotes an increase in water retention, which plays the main role in SIAD.1719 Our hypothesis in elderly SIAD patients with aspiration pneumonia is that increased AVP levels may lead not only to water retention and hyponatremia, but also to other effects such as vasoconstriction and myocyte hypertrophy, which may adversely influence the cardiovascular systems of elderly patients (Figure 1).

Figure 1
Activation of the V1A receptor may increase vasoconstriction and cause myocyte hypertrophy through the synthesis of endothelin and the release of angiotensin II. These effects of V1A receptor activation, as well as water retention via V2 receptor activation, may adversely affect the cardiovascular system. Abbreviations: AVP, arginine vasopressin. [Color figure can be viewed in the online issue, which is available at wileyonlinelibrary.com.]

In our study, SIAD in elderly patients with aspiration pneumonia was more strongly associated with in‐hospital mortality than with 30‐day mortality. The average length of stay (LOS) of all patients dying in hospital (42 days) was significantly longer than the average LOS of those dying within 30 days of admission (15 days; P < 0.001, MannWhitney Test; Table 2). These findings suggest that SIAD was associated more strongly with longer‐term mortality than with acute‐stage mortality. The reason for the association between SIAD and longer‐term mortality remains unclear, although there may be some association between longer‐term mortality and the pathophysiologic mechanisms of AVP.

Our study has some limitations. First, because of the retrospective observational design, there is a potential for bias. We used multivariate analyses adjusted for confounding factors, however, other residual confounding factors may have remained. In addition, since the diagnosis of pneumonia was based on chart review, there may have been imprecision in the accuracy of diagnosing aspiration pneumonia. Aspiration pneumonia sometimes occurs without apparent episodes of aspiration, and this would have led to underdiagnosis. In contrast, aspiration pneumonitis can be mistaken for aspiration pneumonia; this would have led to overdiagnosis.

Second, volume status is difficult to evaluate prospectively, and thus by nature of our design, appropriate assignment of volume status was difficult. Several studies have used test infusions of isotonic saline to discriminate between these alternatives, but because our study was retrospective, we were unable to use this test.11, 20 Some studies have reported that, in patients in a state of volume depletion, volume repletion removes the stimulus for antidiuretic hormone release, allowing excess water to be excreted in a dilute urine and the serum sodium concentration to return toward normal.21, 22 According to this theory, instead of using an isotonic test infusion, we added in our study a criterion of volume depletion in which patients with a sustained increase in serum sodium concentration of 5 mEq/L and a sustained decrease in blood urea nitrogen, even with administration of hypotonic solution, were classified as volume depleted.

Third, all patients were analyzed according to status on admission, although some patients with hypovolemic hyponatremia at admission were found to have hyponatremia due to SIAD after admission.

Fourth, because the sample size of this study was small with our results revealing wide confidence intervals, an effect between other causes of hyponatremia and mortality might not have been identified. However, for 80% power, the calculated sample size was 100 non‐SIAD patients with aspiration pneumonia versus 10 SIAD patients, given that the mortality rate of elderly patients with aspiration pneumonia was, at a moderate estimate, 15% according to the studies of both Stukenborg and colleagues and Oliver and colleagues, and the mortality rate of SIAD patients was increased by 400% compared with that of non‐SIAD patients according to the study of Song and colleagues, with an alpha error of 0.05.7, 23, 24 Our sample size was therefore greater than the required size.

Fifth, because the APD dataset was compiled in 2007 for another study, it was not concurrent, and this may have led to other limitations in interpreting the data.

Finally, in Japan, the average length of hospital stay was 36.3 days in 2004 and 34.1 days in 2007much longer than other developed countries.25 Because of this situation, in‐hospital mortality, and not 30‐day mortality, represented long‐term mortality. Therefore, our results may not be easily applicable to the situation in other developed countries.

In conclusion, our results suggest that the presence of SIAD on admission in elderly patients with aspiration pneumonia is associated with increased mortality. This novel finding should be re‐evaluated, but it does raise the question of a direct, negative impact of AVP on patients' clinical outcomes. In the future, a larger prospective cohort study should be conducted to confirm the findings of this study, given the small sample size and the retrospective nature of the study. Additionally, a different population of pneumonia patients, such as those with community‐acquired pneumonia, should be examined to further evaluate the etiologies of hyponatremia in pneumonia and the association between hyponatremia of these different etiologies and mortality.

Acknowledgements

Disclosures: Jun Miyashita and Toshihiko Shimada report receiving a grant‐in‐aid from the Ministry of Health, Labour and Welfare of Japan, Development of Clinical Research Fellowship (Principal Investigator, Shunichi Fukuhara), grant H18‐001. No other potential conflict of interest relevant to this article was reported.

One of the most common causes of hospitalization in the elderly is aspiration pneumonia related to dysphagia due to numerous underlying diseases.1 Thus, it is clinically important to identify prognostic factors associated with increased mortality in elderly patients with aspiration pneumonia. Hyponatremia is the most common electrolyte abnormality in hospitalized patients occurring in up to 11% of elderly patients in hospital.2 Previous studies have suggested that the presence and degree of hyponatremia is associated with the severity of pneumonia in adults and children, although the results have differed among studies.37

Hyponatremia is caused by various factors, including volume depletion, use of diuretics, hypothyroidism, adrenal insufficiency, heart failure, renal failure, and cirrhosis. Additionally, the syndrome of inappropriate antidiuresis (SIAD) is a frequent and heterogeneous disorder characterized by hyponatremia and impaired urinary dilution in the absence of any recognized stimulation of antidiuretic hormone secretion.8 Because not all patients with SIAD have elevated circulating levels of arginine vasopressin (AVP), the term SIAD is preferred to the term syndrome of inappropriate secretion of antidiuretic hormone (SIADH).9 One study has shown an association between the severity of pneumonia in children and the development of hyponatremia due to SIAD.10 To our knowledge, there have been no studies evaluating the impact of different causes of hyponatremia on mortality in elderly patients with aspiration pneumonia.

We therefore sought to investigate whether hyponatremia of all etiologies (all‐cause hyponatremia) was associated with mortality in elderly patients with aspiration pneumonia. Additionally, we compared the impact of hyponatremia due to SIAD, with hyponatremia of other etiologies, on mortality in this population

METHODS

Patients and Data Source

The Aspiration Pneumonia Dataset (APD) is the product of a retrospective analysis of elderly patients hospitalized with aspiration pneumonia from July 2004 to March 2007, performed by our second author (T.S.). The aim of the APD was to provide a dataset to allow for the development of a prediction rule for mortality, in elderly patients with aspiration pneumonia. All patients were hospitalized at Rakuwakai Otowa Hospital, in Kyoto, Japan, a 430‐bed community teaching hospital. Patients hospitalized with a diagnosis of aspiration pneumonia were identified, but those who required intensive care unit level care or intubation were excluded. The diagnosis of aspiration pneumonia was based on clinical evaluation, including a history of aspiration, a comorbidity associated with aspiration, symptoms or objective findings relevant to the respiratory system, and chest radiographic findings consistent with pneumonia.

From the APD dataset, we identified patients with hyponatremia at admission. After abstraction of the data, clinical charts were examined to obtain the data relevant to the etiologies of hyponatremia. The data were reviewed independently by 2 internal medicine physicians (J.M. and T.S.). Disagreements were resolved by consensus. Inter‐rater agreement was evaluated by using kappa statistics. The study was approved by the Ethics Committee of the Kyoto University Graduate School and Faculty of Medicine (project approval No. E290).

Definition of Hyponatremia and Its Causes

The definitions of hyponatremia and SIAD are given in Table 1. Hyponatremia was defined as serum sodium <135 mEq/L. Normonatremia was defined as serum sodium 135 mEq/L and 145 mEq/L, and hypernatremia was defined as serum sodium >145 mEq/L. Severity of hyponatremia was defined as mild (130 Na <135 mEq/L), moderate (125 Na <130 mEq/L), or severe (Na <125 mEq/L). Effective serum osmolality was calculated by the formula: [Effective serum osmolality (mOsm/kg H2O) = 2 Na (mEq/L) + glucose (mg/dL)/18].9 Hypotonic hyponatremia was defined as hyponatremia in the setting of effective serum osmolality <280 mOsm/kg H2O. Hypotonic hyponatremia was classified by extracellular fluid volume (ECFV) status as hypovolemic, SIAD euvolemic, non‐SIAD euvolemic or hypervolemic.11, 12

Definition of Each Class of Hypotonic Hyponatremia
  • Abbreviations: ECFV, extracellular fluid volume; SIAD, syndrome of inappropriate antidiuresis.

  • Defined as having 1 or more positive findings among these criteria.

  • Adapted from Ellison and Berl,9 Hannon and Thompson,12 and Decaux and Musch.20

Hypovolemic*1. Either of the terms volume depletion or hypovolemic documented in the admission notes.
2. Clinical signs suggestive of volume depletion observed on physical examination and documented in admission notes (ie, dry oral cavity or dry skin in the axilla).
3. Volume depletion detected by biochemical or physiological examination (ie, metabolic alkalosis in arterial gas studies or collapsed inferior vena cava on echocardiography, respectively).
4. Increase in sodium concentration to within the normal range, together with decrease in blood urea nitrogen, following administration of hypotonic fluid.
Euvolemic*1. The term euvolemic documented in admission notes.
2. Criteria for hypovolemic and hypervolemic hyponatremia not met.
Hypervolemic*1. The terms hypervolemic or an excess of ECFV documented in admission notes.
2. Clinical signs suggestive of an excess of ECFV observed on physical examination and documented in admission notes (ie, edema or jugular venous distension).
3. Excess of ECFV detected by physiological examination (ie, dilated inferior vena cava on echocardiography).
SIADEuvolemic hyponatremia with the following findings:
Urinary sodium concentration >30 mEq/L;
Urinary osmolality >100 mOsm/kg H2O;
Normal thyroid, adrenal, and renal function.

Clinical Outcomes

The primary outcome of analysis was defined as mortality within 30 days of admission (30‐day mortality). The secondary outcome was defined as mortality during the hospital stay (in‐hospital mortality).

Statistical Methods

First, for the subsequent analyses, we used a cohort from which hypernatremia and non‐hypotonic hyponatremia patients were excluded. Multivariate logistic regression was used to evaluate the impacts of hyponatremia and SIAD on the outcomes of interest. The following baseline risk factors associated with the severity of pneumonia in previous studies were considered for inclusion in the multivariate model1315: age, gender, living in a care facility, use of a feeding tube, disorientation, systolic blood pressure <90 mmHg or diastolic blood pressure <60 mmHg, heart rate >125 beats/min, body temperature <35C or >40C, respiratory failure (defined as oxygen saturation 90% or partial pressure of oxygen 60 mmHg or respiratory rate >30 breaths/min), blood glucose >250 mg/dL, anemia (defined as hematocrit <30%), blood urea nitrogen (BUN) >20 mg/dL, serum C‐reactive protein >10 mg/dL, serum albumin <3 g/dL, congestive heart failure, diabetes mellitus, chronic respiratory disease, malignancy, cirrhosis, chronic kidney failure, and central nervous system disease. The severity of pneumonia was evaluated by using the 6‐point scale of the A‐DROP (Age, Dehydration, Respiratory failure, Orientation disturbance, and low blood Pressure) scoring system proposed by the Japanese Respiratory Society.15 This is a modified version of the CURB‐65 (Confusion, Uremia, Respiratory rate, BP, age 65 years) clinical prediction rule and assesses the following parameters: age (men 70 years; women 75 years), dehydration (BUN concentration 21 mg/dL), respiratory failure (oxygen saturation 90%, partial pressure of oxygen 60 mmHg, ratio of partial pressure of oxygen to fraction of inspired oxygen 300), orientation disturbance (defined as disorientation at admission), and systolic blood pressure <90 mmHg. Patients with scores of 0 or 1 were classified as mild, patients scoring 2 as moderate, and patients scoring 3 to 5 as severe. In univariate analyses, the chi‐squared test was used. Those variables with P < 0.2 in the univariate analyses were included in the multivariate analyses. The HosmerLemeshow test was used to assess the goodness‐of‐fit for multivariate logistic regression models. Data were analyzed with STATA 10 (StataCorp, College Station, TX). Two‐tailed P values <0.05 were considered statistically significant.

RESULTS

The baseline characteristics of the study population are listed in Table 2. There were 221 elderly patients identified as having aspiration pneumonia. Of those, 65 (29%) had hyponatremia; 3 (5%) with non‐hypotonic and 62 (95%) with hypotonic hyponatremia. In the latter group, patients were characterized has having hypovolemic (39 [63%]), hypervolemic (3 [5%]), and euvolemic (20 [32%]) hyponatremia. Among the euvolemic patients, SIAD occurred in 14 (70%) of patients. Non‐SIAD euvolemic hyponatremia occurred in 6 (30%) patients and was associated with hypothyroidism (1 patient), adrenal insufficiency (1 patient), and was unclassifiable due to lack of available clinical data in 4 patients. The kappa value was 0.87 for inter‐rater agreement of the classification of hypotonic hyponatremia.

Baseline Characteristics of Population (n = 221)
  • Abbreviations: A‐DROP, Age, Dehydration, Respiratory failure, Orientation disturbance, and low blood Pressure scoring system; IQR, interquartile range; LOS, length of stay.

  • Mean SD.

  • n (%).

  • Median (IQR).

  • Range.

Age (yr)84 8.6*
Male90 (41)
Living in care facilities143 (65)
Use of a feeding tube40 (18)
Comorbidity 
Congestive heart failure21 (10)
Diabetes mellitus33 (15)
Chronic respiratory disease31 (14)
Malignancy14 (6)
Liver cirrhosis13 (6)
Chronic renal failure23 (10)
Central nervous system disease194 (88)
Disorientation36 (16)
Systolic blood pressure (mmHg)131 28*
Heart rate (beats/min)92 20*
Body temperature (C)37.5 1.1*
Respiratory rate (breaths/min)24 (IQR, 2030)
Oxygen saturation (%)95 (IQR, 9197)
pH7.44 (IQR, 7.407.47)
Glucose (mg/dL)140 57*
Hematocrit (%)34.7 5.9*
Blood urea nitrogen (mg/dL)22.7 15*
C‐reactive protein (mg/dL)5.2 (IQR, 1.811.7)
Albumin (g/dL)3.3 0.60*
A‐DROP severity class 
Mild (score, 0 or 1)83 (38)
Moderate (score, 2)84 (38)
Severe (score, 35)54 (24)
Sodium (mEq/L)137 6.98*
Sodium range (mEq/L)101162
Distribution and classification of sodium concentration (mEq/L) 
Hypernatremia: Na >14516 (7)
Normonatremia: 135 Na 145140 (64)
Hyponatremia: Na <13565 (29)
Mild: 130 Na <13544 (20)
Moderate: 125 Na <13011 (5)
Severe: Na <12510 (4)
Length of stay (days)34.6 39*
30‐day mortality28 (13)
LOS in these patients (days)14.7 9.6
In‐hospital mortality63 (29)
LOS in these patients (days)41.9 33.8*

The following variables were included in multivariate logistic analyses: congestive heart failure, cirrhosis, chronic renal failure, disorientation, body temperature <35C or >40C, anemia, and serum albumin <3 g/dL (see Supporting Information, Appendix, in the online version of this article).

In the multivariate logistic analyses, all‐cause hyponatremia was not associated with increased 30‐day mortality (odds ratio [OR] 1.85, 95% confidence interval [CI] 0.635.48; P = 0.262), but was associated with a trend toward increased risk of in‐hospital mortality (OR 2.10, 95% CI 1.004.42; P = 0.050) (Table 3). Moderate and severe hyponatremia were both significantly associated with increased in‐hospital mortality (OR 6.05, 95% CI 1.4625.0; P = 0.013 and OR 5.65, 95% CI 1.1428.1; P = 0.034, respectively). The same trends were observed for 30‐day mortality, although the results were not statistically significant. No such trend was observed for mild hyponatremia.

Outcomes of Aspiration Pneumonia Patients by Severity of Hypotonic Hyponatremia
 NormonatremiaHypotonic Hyponatremia
All‐CauseMildModerateSevere
n = 140n = 62n = 42n = 10n = 10
  • NOTE: Multivariate logistic regression models: Model 1 (hypotonic hyponatremia vs normonatremia), and Model 2 (mild, moderate, and severe hypotonic hyponatremia vs normonatremia) were adjusted for disorientation, congestive heart failure, cirrhosis, chronic renal failure, body temperature <35C or >40C, anemia, and serum albumin <3 g/dL. Abbreviations: CI, confidence interval; ref, reference group. Bolded P values represent values of less than 0.05.

30‐day mortality, n (%)11 (8)11 (17)4 (10)2 (18)4 (60)
Odds ratio (95% CI)1 (ref)1.85 (0.635.48)1.30 (0.354.82)3.15 (0.5019.9)3.44 (0.5719.3)
P value P = 0.262P = 0.691P = 0.222P = 0.184
In‐hospital mortality, n (%)28 (20)25 (39)10 (24)6 (55)7 (70)
Odds ratio (95% CI)1 (ref)2.10 (1.004.42)1.26 (0.523.07)6.05 (1.4625.0)5.65 (1.1428.1)
P value P = 0.050P = 0.606P = 0.013P = 0.034

In the multivariate logistic regression analyses, hypotonic hyponatremia due to SIAD was significantly associated with both increased risk of 30‐day mortality (OR 7.40, 95% CI 1.7331.7; P = 0.007) and increased risk of in‐hospital mortality (OR 22.3, 95% CI 4.26117; P < 0.001) (Table 4). In contrast, hypovolemic or non‐SIAD euvolemic hyponatremia was associated with neither increased risk of 30‐day mortality nor increased risk of in‐hospital mortality. There were too few hypervolemic hyponatremia patients for us to perform effective logistic analyses. The P values of the HosmerLemeshow tests were 0.45 for the multivariate logistic regression model (hypovolemic, SIAD, and non‐SIAD euvolemic vs normonatremia) with 30‐day mortality, and 0.30 for the model with in‐hospital mortality.

Outcomes in Aspiration Pneumonia Patients by Etiology of Hypotonic Hyponatremia
 NormonatremiaHypotonic Hyponatremia
HypovolemicEuvolemicHypervolemic
SIADnon‐SIAD*
n = 140n = 39n = 14n = 6n = 3
  • NOTE: The multivariate logistic regression model (hypovolemic, SIAD, and non‐SIAD euvolemic vs normonatremia) was adjusted for disorientation, congestive heart failure, cirrhosis, chronic renal failure, body temperature <35C or >40C, anemia, and serum albumin <3 g/dL. Abbreviations: CI, confidence interval; ref, reference group; SIAD, syndrome of inappropriate antidiuresis;.

  • Including patients with hypothyroidism (n = 1) and adrenal insufficiency (n = 1), none of whom died. Bolded P values represent values of less than 0.05.

30‐day mortality, n (%)11 (8)2 (5)6 (43)1 (17)1 (33)
Odds ratio (95% CI)1 (ref)0.58 (0.113.10)7.40 (1.7331.7)2.71 (0.2430.6) 
P value P = 0.525P = 0.007P = 0.421 
In‐hospital mortality, n (%)28 (20)7 (18)12 (86)1 (17)3 (100)
Odds ratio (95% CI)1 (ref)0.85 (0.322.30)22.3 (4.26117)0.93 (0.108.98) 
P value P = 0.751P < 0.001P = 0.948 

Six patients with SIAD were classified as having an A‐DROP severity class of mild, 4 as moderate, and 4 as severe (P = 0.908, Wilcoxon‐type test for trend). There was no association between the occurrence of SIAD and the severity of pneumonia.

DISCUSSION

We demonstrated that mortality in elderly patients with aspiration pneumonia was significantly associated with SIAD, but not with all‐cause hyponatremia. Unlike SIAD, other etiologies of hyponatremia were not associated with mortality in elderly patients with aspiration pneumonia. A recent study by Waikar and colleagues concluded that hyponatremia subgrouped by severity was not significantly associated with in‐hospital mortality in pneumonia patients, although a trend between severe hyponatremia and mortality was observed.16 Likewise, a study by Zilberberg and colleagues reported no significant increased risk of death with hyponatremia compared with normonatremia.4 These results are similar to our results for all‐cause hyponatremia and for hyponatremia subgrouped by severity. In contrast, a study by Nair and colleagues reported some increased risk of death with hyponatremia.5 Our results suggest that the heterogeneity of these previous results was probably due to the fact that SIAD was not identified in these other studies.

While the rationale for increased mortality in patients with pneumonia associated with SIAD is not known, it may be that there is a direct deleterious effect of elevated AVP. AVP has 3 distinct receptor subtypes, V1A, V1B, and V2. Stimulation of the V1A receptor in vascular smooth muscle promotes an increase in systemic vascular resistance, and stimulation of the same receptor in cardiac myocytes promotes myocyte hypertrophy. Stimulation of the V1B receptor in the anterior pituitary promotes adrenocorticotropic hormone release, and stimulation of the V2 receptor in the renal collecting ducts promotes an increase in water retention, which plays the main role in SIAD.1719 Our hypothesis in elderly SIAD patients with aspiration pneumonia is that increased AVP levels may lead not only to water retention and hyponatremia, but also to other effects such as vasoconstriction and myocyte hypertrophy, which may adversely influence the cardiovascular systems of elderly patients (Figure 1).

Figure 1
Activation of the V1A receptor may increase vasoconstriction and cause myocyte hypertrophy through the synthesis of endothelin and the release of angiotensin II. These effects of V1A receptor activation, as well as water retention via V2 receptor activation, may adversely affect the cardiovascular system. Abbreviations: AVP, arginine vasopressin. [Color figure can be viewed in the online issue, which is available at wileyonlinelibrary.com.]

In our study, SIAD in elderly patients with aspiration pneumonia was more strongly associated with in‐hospital mortality than with 30‐day mortality. The average length of stay (LOS) of all patients dying in hospital (42 days) was significantly longer than the average LOS of those dying within 30 days of admission (15 days; P < 0.001, MannWhitney Test; Table 2). These findings suggest that SIAD was associated more strongly with longer‐term mortality than with acute‐stage mortality. The reason for the association between SIAD and longer‐term mortality remains unclear, although there may be some association between longer‐term mortality and the pathophysiologic mechanisms of AVP.

Our study has some limitations. First, because of the retrospective observational design, there is a potential for bias. We used multivariate analyses adjusted for confounding factors, however, other residual confounding factors may have remained. In addition, since the diagnosis of pneumonia was based on chart review, there may have been imprecision in the accuracy of diagnosing aspiration pneumonia. Aspiration pneumonia sometimes occurs without apparent episodes of aspiration, and this would have led to underdiagnosis. In contrast, aspiration pneumonitis can be mistaken for aspiration pneumonia; this would have led to overdiagnosis.

Second, volume status is difficult to evaluate prospectively, and thus by nature of our design, appropriate assignment of volume status was difficult. Several studies have used test infusions of isotonic saline to discriminate between these alternatives, but because our study was retrospective, we were unable to use this test.11, 20 Some studies have reported that, in patients in a state of volume depletion, volume repletion removes the stimulus for antidiuretic hormone release, allowing excess water to be excreted in a dilute urine and the serum sodium concentration to return toward normal.21, 22 According to this theory, instead of using an isotonic test infusion, we added in our study a criterion of volume depletion in which patients with a sustained increase in serum sodium concentration of 5 mEq/L and a sustained decrease in blood urea nitrogen, even with administration of hypotonic solution, were classified as volume depleted.

Third, all patients were analyzed according to status on admission, although some patients with hypovolemic hyponatremia at admission were found to have hyponatremia due to SIAD after admission.

Fourth, because the sample size of this study was small with our results revealing wide confidence intervals, an effect between other causes of hyponatremia and mortality might not have been identified. However, for 80% power, the calculated sample size was 100 non‐SIAD patients with aspiration pneumonia versus 10 SIAD patients, given that the mortality rate of elderly patients with aspiration pneumonia was, at a moderate estimate, 15% according to the studies of both Stukenborg and colleagues and Oliver and colleagues, and the mortality rate of SIAD patients was increased by 400% compared with that of non‐SIAD patients according to the study of Song and colleagues, with an alpha error of 0.05.7, 23, 24 Our sample size was therefore greater than the required size.

Fifth, because the APD dataset was compiled in 2007 for another study, it was not concurrent, and this may have led to other limitations in interpreting the data.

Finally, in Japan, the average length of hospital stay was 36.3 days in 2004 and 34.1 days in 2007much longer than other developed countries.25 Because of this situation, in‐hospital mortality, and not 30‐day mortality, represented long‐term mortality. Therefore, our results may not be easily applicable to the situation in other developed countries.

In conclusion, our results suggest that the presence of SIAD on admission in elderly patients with aspiration pneumonia is associated with increased mortality. This novel finding should be re‐evaluated, but it does raise the question of a direct, negative impact of AVP on patients' clinical outcomes. In the future, a larger prospective cohort study should be conducted to confirm the findings of this study, given the small sample size and the retrospective nature of the study. Additionally, a different population of pneumonia patients, such as those with community‐acquired pneumonia, should be examined to further evaluate the etiologies of hyponatremia in pneumonia and the association between hyponatremia of these different etiologies and mortality.

Acknowledgements

Disclosures: Jun Miyashita and Toshihiko Shimada report receiving a grant‐in‐aid from the Ministry of Health, Labour and Welfare of Japan, Development of Clinical Research Fellowship (Principal Investigator, Shunichi Fukuhara), grant H18‐001. No other potential conflict of interest relevant to this article was reported.

References
  1. Marik PE,Kaplan D.Aspiration pneumonia and dysphagia in the elderly.Chest.2003;124(1):328336.
  2. Sunderam SG,Mankikar GD.Hyponatraemia in the elderly.Age Ageing.1983;12(1):7780.
  3. Singhi S,Dhawan A.Frequency and significance of electrolyte abnormalities in pneumonia.Indian Pediatr.1992;29(6):735740.
  4. Zilberberg MD,Exuzides A,Spalding J, et al.Hyponatremia and hospital outcomes among patients with pneumonia: a retrospective cohort study.BMC Pulm Med.2008;8(2):16.
  5. Nair V,Niederman MS,Masani N,Fishbane S.Hyponatremia in community‐acquired pneumonia.Am J Nephrol.2007;27(2):184190.
  6. Don M,Valerio G,Korppi M,Canciani M.Hyponatremia in pediatric community‐acquired pneumonia.Pediatr Nephrol.2008;23(12):22472253.
  7. Song JH,Oh WS,Kang CI, et al.Epidemiology and clinical outcomes of community‐acquired pneumonia in adult patients in Asian countries: a prospective study by the Asian network for surveillance of resistant pathogens.Int J Antimicrob Agents.2008;31(2):107114.
  8. Bartter FC,Schwartz WB.The syndrome of inappropriate secretion of antidiuretic hormone.Am J Med.1967;42(5):790806.
  9. Ellison DH,Berl T.Clinical practice. The syndrome of inappropriate antidiuresis.N Engl J Med.2007;356(20):20642072.
  10. Dhawan A,Narang A,Singhi S.Hyponatraemia and the inappropriate ADH syndrome in pneumonia.Ann Trop Paediatr.1992;12(4):455462.
  11. Fenske W,Stork S,Koschker AC, et al.Value of fractional uric acid excretion in differential diagnosis of hyponatremic patients on diuretics.J Clin Endocrinol Metab.2008;93(8):29912997.
  12. Hannon MJ,Thompson CJ.The syndrome of inappropriate antidiuretic hormone: prevalence, causes and consequences.Eur J Endocrinol.2010;162(suppl 1):S5S12.
  13. Fine MJ,Auble TE,Yealy DM, et al.A prediction rule to identify low‐risk patients with community‐acquired pneumonia.N Engl J Med.1997;336(4):243250.
  14. Lim WS,van der Eerden MM,Laing R, et al.Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study.Thorax.2003;58(5):377382.
  15. Shindo Y,Sato S,Maruyama E, et al.Comparison of severity scoring systems A‐DROP and CURB‐65 for community‐acquired pneumonia.Respirology.2008;13(5):731735.
  16. Waikar SS,Mount DB,Curhan GC.Mortality after hospitalization with mild, moderate, and severe hyponatremia.Am J Med.2009;122(9):857865.
  17. Goldsmith SR.The role of vasopressin in congestive heart failure.Cleve Clin J Med.2006;73(suppl 3):S19S23.
  18. Hays RM.Vasopressin antagonists—progress and promise.N Engl J Med.2006;355(20):21462148.
  19. Wada K,Matsukawa U,Fujimori A, et al.A novel vasopressin dual V1A/V2 receptor antagonist, conivaptan hydrochloride, improves hyponatremia in rats with syndrome of inappropriate secretion of antidiuretic hormone (SIADH).Biol Pharm Bull.2007;30(1):9195.
  20. Decaux G,Musch W.Clinical laboratory evaluation of the syndrome of inappropriate secretion of antidiuretic hormone.Clin J Am Soc Nephrol.2008;3(4):11751184.
  21. Oh MS,Uribarri J,Barrido D,Landman E,Choi KC,Carroll HJ.Danger of central pontine myelinolysis in hypotonic dehydration and recommendation for treatment.Am J Med Sci.1989;298(1):4143.
  22. Kamel KS,Bear RA.Treatment of hyponatremia: a quantitative analysis.Am J Kidney Dis.1993;21(4):439443.
  23. Stukenborg GJ,Wagner DP,Harrell FE, et al.Hospital discharge abstract data on comorbidity improved the prediction of death among patients hospitalized with aspiration pneumonia.J Clin Epidemiol.2004;57(5):522532.
  24. Oliver MN,Stukenborg GJ,Wagner DP, et al.Comorbid disease and the effect of race and ethnicity on in‐hospital mortality from aspiration pneumonia.J Natl Med Assoc.2004;96(11):14621469.
  25. Ministry of Health, Labour and Welfare, Japan. Health Statistics in Japan 2007. Available at: http://www.mhlw.go.jp/english/database/db‐hss/hs2007.html. Accessed August 18,2010.
References
  1. Marik PE,Kaplan D.Aspiration pneumonia and dysphagia in the elderly.Chest.2003;124(1):328336.
  2. Sunderam SG,Mankikar GD.Hyponatraemia in the elderly.Age Ageing.1983;12(1):7780.
  3. Singhi S,Dhawan A.Frequency and significance of electrolyte abnormalities in pneumonia.Indian Pediatr.1992;29(6):735740.
  4. Zilberberg MD,Exuzides A,Spalding J, et al.Hyponatremia and hospital outcomes among patients with pneumonia: a retrospective cohort study.BMC Pulm Med.2008;8(2):16.
  5. Nair V,Niederman MS,Masani N,Fishbane S.Hyponatremia in community‐acquired pneumonia.Am J Nephrol.2007;27(2):184190.
  6. Don M,Valerio G,Korppi M,Canciani M.Hyponatremia in pediatric community‐acquired pneumonia.Pediatr Nephrol.2008;23(12):22472253.
  7. Song JH,Oh WS,Kang CI, et al.Epidemiology and clinical outcomes of community‐acquired pneumonia in adult patients in Asian countries: a prospective study by the Asian network for surveillance of resistant pathogens.Int J Antimicrob Agents.2008;31(2):107114.
  8. Bartter FC,Schwartz WB.The syndrome of inappropriate secretion of antidiuretic hormone.Am J Med.1967;42(5):790806.
  9. Ellison DH,Berl T.Clinical practice. The syndrome of inappropriate antidiuresis.N Engl J Med.2007;356(20):20642072.
  10. Dhawan A,Narang A,Singhi S.Hyponatraemia and the inappropriate ADH syndrome in pneumonia.Ann Trop Paediatr.1992;12(4):455462.
  11. Fenske W,Stork S,Koschker AC, et al.Value of fractional uric acid excretion in differential diagnosis of hyponatremic patients on diuretics.J Clin Endocrinol Metab.2008;93(8):29912997.
  12. Hannon MJ,Thompson CJ.The syndrome of inappropriate antidiuretic hormone: prevalence, causes and consequences.Eur J Endocrinol.2010;162(suppl 1):S5S12.
  13. Fine MJ,Auble TE,Yealy DM, et al.A prediction rule to identify low‐risk patients with community‐acquired pneumonia.N Engl J Med.1997;336(4):243250.
  14. Lim WS,van der Eerden MM,Laing R, et al.Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study.Thorax.2003;58(5):377382.
  15. Shindo Y,Sato S,Maruyama E, et al.Comparison of severity scoring systems A‐DROP and CURB‐65 for community‐acquired pneumonia.Respirology.2008;13(5):731735.
  16. Waikar SS,Mount DB,Curhan GC.Mortality after hospitalization with mild, moderate, and severe hyponatremia.Am J Med.2009;122(9):857865.
  17. Goldsmith SR.The role of vasopressin in congestive heart failure.Cleve Clin J Med.2006;73(suppl 3):S19S23.
  18. Hays RM.Vasopressin antagonists—progress and promise.N Engl J Med.2006;355(20):21462148.
  19. Wada K,Matsukawa U,Fujimori A, et al.A novel vasopressin dual V1A/V2 receptor antagonist, conivaptan hydrochloride, improves hyponatremia in rats with syndrome of inappropriate secretion of antidiuretic hormone (SIADH).Biol Pharm Bull.2007;30(1):9195.
  20. Decaux G,Musch W.Clinical laboratory evaluation of the syndrome of inappropriate secretion of antidiuretic hormone.Clin J Am Soc Nephrol.2008;3(4):11751184.
  21. Oh MS,Uribarri J,Barrido D,Landman E,Choi KC,Carroll HJ.Danger of central pontine myelinolysis in hypotonic dehydration and recommendation for treatment.Am J Med Sci.1989;298(1):4143.
  22. Kamel KS,Bear RA.Treatment of hyponatremia: a quantitative analysis.Am J Kidney Dis.1993;21(4):439443.
  23. Stukenborg GJ,Wagner DP,Harrell FE, et al.Hospital discharge abstract data on comorbidity improved the prediction of death among patients hospitalized with aspiration pneumonia.J Clin Epidemiol.2004;57(5):522532.
  24. Oliver MN,Stukenborg GJ,Wagner DP, et al.Comorbid disease and the effect of race and ethnicity on in‐hospital mortality from aspiration pneumonia.J Natl Med Assoc.2004;96(11):14621469.
  25. Ministry of Health, Labour and Welfare, Japan. Health Statistics in Japan 2007. Available at: http://www.mhlw.go.jp/english/database/db‐hss/hs2007.html. Accessed August 18,2010.
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Journal of Hospital Medicine - 7(6)
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Journal of Hospital Medicine - 7(6)
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