Energy intake during hospital stay predicts all-cause mortality after discharge independently of nutritional status in elderly heart failure 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.

Automated summary

This study found that low daily energy intake was independently associated with higher mortality in elderly HF patients, and inclusion of energy intake in addition to established predictors improved mortality risk stratification. Patients who consumed 31.5 kcal/kg/day of energy had the lowest risk of all-cause mortality.