Background
Although high body mass index (BMI) is a risk factor of heart failure (HF), HF patients with a higher BMI had a lower mortality rate than that in HF patients with normal or lower BMI, a phenomenon that has been termed the “obesity paradox”. However, the relationship between body composition, i.e., fat or muscle mass, and clinical outcome in HF remains unclear.
Methods
We retrospectively analyzed data for 198 consecutive HF patients (76 years of age; males, 49%). Patients who were admitted to our institute for diagnosis and management of HF and received a dual-energy X-ray absorptiometry scan were included regardless of left ventricular ejection fraction (LVEF) categories. Muscle wasting was defined as appendicular skeletal muscle mass index < 7.0 kg/m2 in males and < 5.4 kg/m2 in females. Increased percent body fat mass (increased FM) was defined as percent body fat > 25% in males and > 30% in females.
Results
The median age of the patients was 76 years (interquartile range [IQR], 67–82 years) and 49% of them were male. The median LVEF was 47% (IQR, 33–63%) and 33% of the patients had heart failure with reduced ejection fraction. Increased FM and muscle wasting were observed in 58 and 67% of the enrolled patients, respectively. During a 180-day follow-up period, 32 patients (16%) had cardiac events defined as cardiac death or readmission by worsening HF or arrhythmia. Kaplan-Meier survival curves showed that patients with increased FM had a lower cardiac event rate than did patients without increased FM (11.4% vs. 22.6%, p = 0.03). Kaplan-Meier curves of cardiac event rates did not differ between patients with and those without muscle wasting (16.5% vs. 15.4%, p = 0.93). In multivariate Cox regression analyses, increased FM was independently associated with lower cardiac event rates (hazard ratio: 0.45, 95% confidence interval: 0.22–0.93) after adjustment for age, sex, diabetes, muscle wasting, and renal function.
Conclusions
High percent body fat mass is associated with lower risk of short-term cardiac events in HF patients.
Objective
Malnutrition is associated with an increased risk of mortality in heart failure (HF) patients. Here, we examined the hypothesis that assessment of energy intake in addition to nutritional status improves the stratification of mortality risk in elderly HF patients.
Methods
We retrospectively examined 419 HF patients aged ≥ 65 years (median 78 years, 49% female). Nutritional status was assessed by the Mini Nutritional Assessment Short Form (MNA-SF), and daily energy intake was calculated from intake during 3 consecutive days before discharge.
Results
During a median 1.52-year period (IQR 0.96–2.94 years), 110 patients (26%) died. Kaplan–Meier survival curves showed that patients with low tertile of daily energy intake had a higher mortality rate than did patients with high or middle tertile of daily energy intake. In multivariate Cox regression analyses, low daily energy intake was independently associated with higher mortality after adjustment for the model including age, sex, BNP, Charlson Comorbidity Index, history of HF hospitalization, and cachexia in addition to MNA-SF. Inclusion of both MNA-SF and energy intake into the adjustment model improved the accuracy of prediction of the mortality after discharge (continuous net reclassification improvement, 0.355, p = 0.003; integrated discrimination improvement, 0.029, p = 0.003). Results of a fully adjusted dose-dependent association analysis showed that risk of all-cause mortality was lowest among HF patients who consumed 31.5 kcal/kg/day of energy.
Conclusions
Energy intake during hospital stay is an independent predictor of the mortality in elderly HF patients, and its assessment together with established predictors improves the mortality risk stratification.
Graphic abstract
Heart failure (HF) is a major public health problem, with a prevalence of over 23 million worldwide, and is a leading cause of morbidity, mortality, and rehospitalization. 1,2 The prevalence of HF increases with aging: more than 80% of patients diagnosed with HF are >65 years of age. 3-5 In addition to establishing preven-
hronic heart failure (CHF) is a major public health problem, with a prevalence of over 23 million cases worldwide, and it is a leading cause of morbidity and mortality. 1,2 In addition, CHF has a negative effect on the quality of life through physical, psychological, and social difficulties. Importantly, cardiac dysfunction is not the sole mechanism of poor health-related quality of life. The presence of comorbidities such as sarcopenia, chronic kidney disease (CKD), metabolic and orthopedic diseases and adverse actions of pharmacological agents contribute to the poor quality of life for CHF patients. 3,4 Earlier large epidemiological studies showed that CHF was closely associated with an increased risk of hip fracture, 5,6 which has a profound effect on health-related quality of life. Several mechanisms that underlie the association between CHF and incidence of hip fracture have been proposed. A retrospective cross-sectional study and a casecontrol study indicated a greater risk of falling, a common
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.