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![]() International Journal of Clinical Medicine, 2011, 2, 254-259 doi:10.4236/ijcm.2011.23040 Published Online July 2011 (http://www.SciRP.org/journal/ijcm) Copyright © 2011 SciRes. IJCM Gender Effects on Acute Heart Failure Arnon Blum1*, Rizak Sirchan1, Lital Keinan-Boker2,3 1Department of Medicine, Baruch-Padeh Poria Medical Center, Tiberias, Israel; 2Israel Center for Disease Control, Ministry of Health, Jerusalem, Israel; 3School of Public Health, University of Haifa, Haifa, Israel. Email: *[email protected] Received March 10th, 2011; revised April 19th, 2011; accepted May 3rd, 2011. ABSTRACT Background: congestive heart failure is the leading cause of hospitalization in the elderly. Little is known about gender effect on baseline characteristics and in-hospital outcome in patients admitted with acute heart failure. Our purpose was to study the gender effect on in-hospital mortality in acute heart failure patients. Methods and Results: a prospec- tive study [143 patients, 67 men (73.9 ± 13.8 years old) and 76 women (77.8 ± 10.1 years old) (p = 0.059)] followed in-hospital outcome of patients with acute heart failure admitted to the hospital. Clinical parameters included body mass index (BMI), ankle brachial index (ABI), left ventricular ejection fraction (LVEF), re-admissions within 1 year, and in-hospital mortality. The gender effects that were studied included height, BMI, smoking, coronary artery disease, LVEF and mortality: in total, 9 (6.3%) patients died, of them 8 (10.5%) women and 1 (1.5%) man. Women were shorter (p < 0.001), had a higher BMI (p = 0.053), reported less frequently on current smoking (p < 0.001), had lower preva- lence of coronary artery disease (p = 0.016), had a better LVEF (p = 0.02), but still, had a higher mortality rate (p = 0.026). The only variables independently affecting in-hospital mortality in women were height and recurrent admissions. When we tested for the effect of height and recurrent admissions on mortality only among females by a multivariate analysis height inversely and independently affected in-hospital mortality (p = 0.024), as well as recurrent admissions (p = 0.031). Conclusions: in-hospital mortality was significantly higher in women compared with men admitted with acute heart failure. Among females, the only independent variables that affected mortality were low stature and recur- rent admissions. Keywords: Gender, Heart Failure, in Hospital Death 1. Introduction Congestive heart failure (CHF) is the leading cause of hospitalizations in the elderly. Little is known about gender differences in baseline characteristics and out- comes in patients with acute co ng estive h eart failure. Th e epidemic of cardiovascular disease in women has at- tained increasing recognition. The Framingham heart study reported an estimated prevalence of heart failure of 0.8% in both genders within the age group of 50 - 59 years. The prevalence increases notably with advancing age, rising to 6.6% and 7.9% in men and women, respectively, aged 80 - 89 years [1]. A study from Olmsted County, Minnesota, has evaluated the prevalence of “diastolic” heart failure. In this survey of the population aged over 45 years, the overall prevalence of heart failure was 2.2%, 44% of heart failure cases had preserved systolic function (LVEF > 50%). The prevalence of diastolic dysfunction was higher in the older population and in those with a history of hypertension, diabetes, coronary disease and previous myocardial infarction. The prevalence of diastolic dys- function was similar in both genders [2]. According to the Framingham study, the incidence of heart failure was significantly higher in men compared to women at all ages, with an age-standardised incidence ratio of 1.67 [1]. Coronary artery disease was reported as the etiological factor in 59% of men and 47% of women for the period 1948- 1988. Va lvular diseas e, hyperten sion, and diabetes were more common in women than in men [1]. The incidence and prevalence of heart failure is lower in women than men at all ages. However, due to the steep increase in incidence with age, and the larger population of elderly wo men in the d eveloped wor ld, the total number of men and women living with heart failure is similar. Heart failure with preserved systolic function (“diastolic” dysfunction) is more common in women, perhaps related to gender differences in the myocardial response to injury, and the lower prevalence of coron ary ![]() Gender Effects on Acute Heart Failure255 artery disease in women at all ages compared with men [3]. In this prospective study we addressed some of the questions that were raised about gender and acute heart failure during in-hospital stay—clinical characteristics and in hospital outcome. Our purpose was to study the in hospital outcome of patients that were admitted with acute heart failure. 2. Methods This was a prospective, hospital-based study. The study population included 143 consecutive patients that were admitted with acute heart failure to the Medicine Ward in the Baruch-Padeh Poria Medical Center during the years 2008-2010. The inclusion criteria included females and male pa- tients older than 18 years old with no known chronic or acute infectious, inflammatory or autoimmune disease. The exclusion criteria included patients younger than 18 years old, patients who also had an active cancer or an autoimmune, inflammatory or an infectious disease. All had an exacerbation of a known heart failure and were treated accordingly by beta blockers, angiotensin converting enzyme inhibitors, and diuretics as needed. On admission, all participants had their weight and height measured and their body mass index (BMI) was calculated. Their peripheral artery disease was evaluated by measuring the ankle-brachial index (ABI); the ab- dominal circumference served as a proxy for central obesity, and the cardiac function was evaluated by measuring the ejection fraction (echocardiography). In addition, information on clinical parameters like current smoking (self report), alcohol use, prevalence of Atrial Fibrillation or other arrhythmias, Diabetes Melli- tus type II, renal function, Hypertension, documented Coronary Artery Disease (CAD), and Rheumatic Valvu- lar Heart Disease (documented by echocardiography) was collected. Follow up continued during hospitalization. The primary end point was to study the gender effect on in-hospital mortality. 3. Statistical Analysis Gender differences in categorical variables were as- sessed by using the Chi-square test, and in continuous variables, by using the independent sample T-test. Uni- variate analyses, where in-hospital mortality served as the dependent variable, were used to identify significant correlates. Multivariate analyses, using logistic regres- sion models, were stratified by gender and included variables that significantly affected in-hospital mortality in univariate analyses. P-value was set at 0.05, and all analyses were two-tailed. The analyses were carried out using the Statistical Package for Social Sciences (SPSS), version 17. 4. Results One hundred and forty three acute heart failure patients were admitted to our Medicine Department. There were 67 men (mean age: 73.9 ± 13.8 years old; range: 23 - 99) and 76 women (mean age: 77.8 ± 10.1 years old; range: 55 - 96) (p = 0.059). Men tended to report on current smoking more frequently than women (31 men vs. 6 women; p < 0.001), were taller (mean height: 1.69 ± 0.1 meter vs. 1.58 ± 0.1; p < 0.001), and had a lower BMI (mean BMI: 28.4 ± 5.9 vs. 30.8 ± 8.7; p = 0.053) (Table 1). Coronary artery disease was more prevalent among men (42 [68%] vs. 36 [47%] in women; p = 0.016), and their ejection fraction was lower (48.2 ± 15.7 vs. 55.1 ± 13.9 in women; p = 0.020) (Table 1). No difference was observed between genders in rela- tion to prevalence of diabetes mellitus, hypertension, rheumatic valvular heart disease, abdominal circumfer- ence and ankle brachial index (Table 1), but women had a trend towards a higher prevalence of recurrent hospi- talizations (8[11%] vs. 2[3%], p = 0.078), and a lower prevalence of peripheral artery disease (ABI less than 0.9, 22[33%] among men, 18[24%] among women; p = 0.224) (Table 1). There were 8 in-hospital deaths among women and only 1 in-hospital death among men (p = 0.026) (Table 1). Variables that were significantly associated with in-hospital mortality included gender (female), recurrent hospitalizations, height (lower) and weight (lower) (Ta- ble 2). Age, current smoking, BMI, LVEF, and preva- lence of comorbidites (atrial fibrillation, diabetes melli- tus, hypertension, coronary artery disease and valvular rheumatic heart disease) did not seem to significantly Table 1. Clinical characteristic s of the study population. Total Males Femal es p -value Gender 143 (100%) 67 (47%) 76 (53%) Age 76.1 ± 12.0 73.9 ± 13.8 77.8 ± 10.1 0.059 Weight (Kg) 78.6 ± 20.1 80.9 ± 17.7 76.5 ± 21.8 0.187 Height (M) 1.63 ± 0.1 1.69 ± 0.1 1.58 ± 0.1 <0.001 BMI 29.6 ± 7.6 28.4 ± 5.9 30.8 ± 8.7 0.053 Abd Circ (cm) 108.4 ± 20.9108.3 ± 19.7 108.5 ± 22.00.951 ABI 0.97 ± 0.29 0.98 ± 0.33 0.97 ± 0.24 0.764 Smokers 37 (27%) 31 (50%) 6 (8%) <0. 001 DM type II 77 (56%) 35 (56%) 42 (55%) 0. 889 HTN 119 (86%) 51 (82%) 68 (89%) 0.221 CAD 78 (56%) 42 (68%) 36 (47%) 0.016 RHD 54 (39%) 21 (34%) 33 (43%) 0.253 A. Fibrillation 57 (42%) 24 (39%) 33 (43%) 0.630 LVEF (%) 51.9 ± 15.1 48.2 ± 15.7 55.1 ± 13.9 0.020 Recurrent Admissions 10 (7%) 2 (3%) 8 (11%) 0.078 In-Hospital Death 9 (6%) 1 (2%) 8 ( 11%) 0.026 Copyright © 2011 SciRes. IJCM ![]() Gender Effects on Acute Heart Failure 256 Table 2. Correlates of in-hospital mortality—univariate analyses. Variable Mortality+ Mortality– p -value Gender (n = 143) Males 1 (1.5%) 66 (98.5%) 0.026 Females 8 (10.5%) 68 (89.5%) Recurrent Hospitalizations (n = 143) Yes 4 (40%) 6 (60%) <0.001 No 5 (3.8%) 128 (96.2%) Continuous Variables Height (M) (n=141) 1.50 ± 0.07 1.63 ± 0.08 <0.001 Weight (Kg) (n=140) 63.00 ± 24.55 79.41 ± 19.61 0.035 affect the outcome. When stratified by gender, the only significant factor in men was recurrent hospitalizations (p < 0.001). In women, significant correlates affecting in-hospital mor- tality included recurrent hospitalizations (p = 0.009), low ABI < 0.9 (p = 0.006), and being shorter (p = 0.006). We used a logistic regression model to assess the in- dependent effect of each of these variables on in-hospital mortality in women. Only height (OR = 0.000, 95% CI 0.000 - 0.116, p = 0.024) and recurrent admissions (OR = 9.290, 95% CI 1.229 - 70.220, p = 0.031) remained statistically significant (Table 3). The model was not applied for men since only one man died. 5. Discussion Of all the cardiovascular diseases, the prevalence of heart failure is the only one that continues to increase in the United States [4]. Heart failure affects mainly the elderl y, the preval ence and incid ence of heart failur e are expected to increase over the next several decades. Gender differences in the syndrome of heart failure oc- cur in etiology and pathophysiology and lead to differ- ences in the clinical presentation and course of the syn- drome. Hypertension and diabetes play a major role as causes of heart failure in women [5]. Major risk factors for heart failure have been evaluated in the past 50 years in the Framingham heart study program. Hypertension carried the largest population-attributable risk factor for heart failure, underlying 59% of heart failure cases in women and 39% in men with a hazard ratio of 3.35 in women and 2.07 in men [6]. A particularly steep in- crease in the prevalence of hypertension with increasing Table 3. Logistic regression model to assess the independe nt effect of each of these variables on in-hospital mortality in women. Variable OR 95% CI P-value Recurrent patient (ref: no) 9.290 1. 22 9 - 70 .2 20 0.031 Height in cm (continuous) 0.000 0.000 - 0.116 0.024 age in women compared with men has also been ob- served in a European WHO-MONICA cohort [7]. Myo- cardial cell death, apoptosis, and cellular hypertrophy of the remaining cells are more pronounced in the male than in the female myocardium [8,9]. Female patients with aortic stenosis exhibit relatively less ventricular dilatation and less myocardial hypertrophy and have better preserved left ventricular function at a comparable degree of stenosis than male patients [9]. Adipose tissue produces inflammatory mediators that increase the risk for cardiovascular disease and diabetes [10]. Adipocytokines (interleukin-1 β, interleukin 6, leptin, tumor necrosis factor α) and adiponectin levels exhibit large sexual dimorphisms. Fat tissue expresses aromatase, and conversion of testosterone to estrogen by aromatase is one of the main sources for estrogen in postmenopausal women [5]. The primary end point of our study was the gender effect on in-hospital mortality, and the secondary end points were to study the gender effect on recurrent hos- pitalizations and peripheral artery disease (measured by ABI of less than 0.9). In our study there were much more in-hospital deaths among women. Variables that were significantly associ- ated with in-hospital mortality included gender (female patients), recurrent ho spitalizations, height (lower height —more deaths), and weight (lower weights—more deaths). The on ly significant factor in men was recurrent hospitalizations, while in women increased death rates were affected by recurrent hospitalizations, peripheral artery disease (ABI lower than 0.9) and a low stature. After using a logistic regression analysis only height remained statistically significant. A prospective study evaluated gender differences among 217 patients presenting with acute heart failure to the emergency department in Switzerland. The primary end point was all—cause mortality. Women were older and had less pulmonary co-morbidity, more jugular ve- nous pressure and higher diastolic blood pressure and troponin level at presentation; however, the trend toward lower survival in women seemed primarily related to higher age rather than gender itself. Female sex was not found as an independent predictor of long-term mortality in acute heart failure [11]. Another study (a retrospective one) did not find any significant gender differences in the initial presentation, disposition, and diagnostic test- ing of patients with acute heart failure admitted through the emergency department [12]. The impact of gender was assessed in the beta blocker evaluation of survival trial (BEST) which randomized 2 708 patients with NYHA class III/IV and LVEF less than 35% to bucindolol versus placebo. Significant dif- ferences in baseline clinical and laboratory characteris- Copyright © 2011 SciRes. IJCM ![]() Gender Effects on Acute Heart Failure257 tics were found. Compared to men, women were younger, more likely to be black, had a higher preva- lence of non-ischemic etiology, had higher right and left ventricular ejection fraction, higher heart rate, greater cardiothoracic ratio, higher prevalence of left bundle branch block, lower prevalence of atrial fibrillation, and lower plasma nor-epinephrine level. Coronary artery disease and LVEF appeared to be stronger predictors of prognosis in women; however, in the non-ischemic pa- tients, women had a significantly better survival rate compared with men [13]. Obesity could be a factor in prognosis in heart failure patients; however, studies have shown a better survival in heart failure patients with decreased LVEF and a higher BMI compared to those with a lower BMI [14-19]. Another study has demonstrated an increased mortality in patients with heart failure and preserved systolic function and low BMI; however, with a BMI > 45 mortality increased, raising the possibility of a U shaped relationship between BMI and survival [20]. A meta-analysis of 9 retrospective studies (mean follow-up of 2.7 years) found that compared to individuals without elevated BMI, both overweight and obese patients had a lower all-cause mortality and also lower cardiovascular mortality. In a risk-adjusted sensitivity analysis, both obesity and overweight remained protective against mortality [21]. In our study a gender effect was observed on BMI; women had a higher BMI compared with men (30.0 ± 8.7 vs. 28.4 ± 5.9, p = 0.053)—but such an effect should have been a protective factor according to recent studies on BMI and weight in patients with heart failure [20, 21], but in our study obesity and overweight did not serve as a protective factor against in-hospital mortality and had no advan tag e for wo men. Another interesting finding was the gender effect on height; women were significantly shorter than men with acute heart failure (1.58 ± 0.1 m vs. 1.69 ± 0.1 m, p < 0.001). An autopsy Finish study evaluated coronary athero- sclerosis among 599 females that died a sudden death and found that 50% of women over 41 years old had coronary lesions, 32% in women from 31 to 40 years, 17% in women from 21 to 30, and 6% in women under 20 years. Coronary atherosclerosis was correlated with short stature as well as with BMI and abdominal fat [22]. A retrospective meta-analysis assessed the relationship between short stature and coronary heart disease from 52 studies (3,012,747 individuals). The short ones were below 160.5 cm and the tall ones over 173.9 cm on av- erage. Among the shortest height category, the relative risks were 1.35 for all-cause mortality, 1.55 for all car- diovascular disease mortality, 1.49 for coronary heart disease, and 1.52 for myocardial infarction when com- pared with those within the highest height category. Short stature was associated with increased cardiovas- cular morbidity and mortality in both genders. No gen- der effect was observed in this study. Only height was the independent parameter that affected death [23]. On the other hand, a prospective study of women hospital- ized with acute coronary event (292 Swedish women, aged 65 years or younger, follow-up 4.8 years) found that independent of the confounding effects of other risk factors of clinical importance for CHD the shortest 25% of women (<160 cm) had a 2.1-fold increased rate of developing adverse cardiac events compared with the tallest 25% (>165 cm) [24]. To examine the influence of race and gender on hos- pital outcome for patients with congestive heart failure a retrospective study examined records on all 1995 New York State hospital discharges assigned ICD-9-CM codes indicative of this diagnosis. It was found that 45,894 patients (black women, 4750; black men, 3370; white women, 21,165; white men, 16,609) had were admitted with congestive heart failure. Blacks under- went noninvasive cardiac procedures more often than whites; procedure and specialty use rates were lower among women than among men. After adjusting for other patient characteristics and hospital type and loca- tion, we found race to be an important determinant of length of stay in the hospital (black, 10.4 days; white, 9.3 days; p = 0.0001), hospital charges (black, $13,711; white, $11,074; p = 0.0001), mortality (black-to-white odds ratio = 0.832; p = 0.003), and readmission (black-to-white odds ratio = 1.301; p = 0.0001). Gender was an important determinant of length of stay (women, 9.8 days; men, 9.2 days; p = 0.0001), hospital charges (women, $11,690; men, $11,348; p = 0.02), and mortal- ity (women-to-men odds ratio = 0.878; p = 0.0008). The conclusion of that study was that race and gender affect care process and hospital-based case outcomes for pa- tients with CHF [25]. 6. Conclusions Our study has demonstrated a gender effect on in-hospi- tal mortality among acute heart failure patients. The only epidemiological data that could help explain our results are studies that have demonstrated a link between short stature and cardiovascular morbidity and mortality. Our female population was about 10 cm shorter compared with men, and this significant difference may explain our results. The novelty of our study was that it was a prospective study that evaluated gender effect on in-hospital mortal- ity in patients admitted with acute heart failure—unlike any other study that examined these specific parameters Copyright © 2011 SciRes. IJCM ![]() Gender Effects on Acute Heart Failure 258 in patients admitted with acute heart failure. 7. Study Limitation The small sample size is limiting our ability to have definite conclusions. We believe that by enlarging the population of heart failure patients we will be able to have more solid conclusions. Our plan is to continue with this study and to recruit many more patients with acute heart failure. 8. 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