Novel risk stratification with time course assessment of in-hospital mortality in patients with acute heart failure.

ABSTRACT:

Background

Patients with acute heart failure (AHF) show various clinical courses during hospitalization. We aimed to identify time course predictors of in-hospital mortality and to establish a sequentially assessable risk model.

Methods and results

We enrolled 1,035 consecutive AHF patients into derivation (n = 597) and validation (n = 438) cohorts. For risk assessments at admission, we utilized Get With the Guidelines-Heart Failure (GWTG-HF) risk scores. We examined significant predictors of in-hospital mortality from 11 variables obtained during hospitalization and developed a risk stratification model using multiple logistic regression analysis. Across both cohorts, 86 patients (8.3%) died during hospitalization. Using backward stepwise selection, we identified five time-

SUBMITTER: Yagyu T 

PROVIDER: S-EPMC5667756 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature