Development and validation of a multifactorial nomogram to predict 48 month mortality in decompensated heart failure.

ABSTRACT:

Background and aims

As the incidence of heart failure (HF) increases, the need for practical tools to evaluate the long-term prognosis in these patients remains critical. Our study aimed to develop a 48 month prediction model for all-cause mortality in decompensated HF patients using available clinical indicators.

Methods

HF patients (n = 503), 60 years or older, were divided into a training cohort (n = 402) and a validation cohort (n = 101). Data on demographics, comorbidities, laboratory results and medications were gathered. Prediction models were developed using the Prognostic Nutritional Index (PNI), cholinesterase (ChE) and a multifactorial nomogram incorporating clinical variables. These models were constructed using the least absolute shrinkage and selection operator

SUBMITTER: Zhuang C 

PROVIDER: S-EPMC11631327 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature