Nomogram Model to Predict Acute Kidney Injury in Hospitalized Patients with Heart Failure.

ABSTRACT:

Background

Acute kidney injury (AKI) is a common complication of acute heart failure (HF) that can prolong hospitalization time and worsen the prognosis. The objectives of this research were to ascertain independent risk factors of AKI in hospitalized HF patients and validate a nomogram risk prediction model established using those factors.

Methods

Finally, 967 patients hospitalized for HF were included. Patients were randomly assigned to the training set (n = 677) or test set (n = 290). Least absolute shrinkage and selection operator (LASSO) regression was performed for variable selection, and multivariate logistic regression analysis was used to search for independent predictors of AKI in hospitalized HF patients. A nomogram prediction model was then developed based on the

SUBMITTER: Xu R 

PROVIDER: S-EPMC11367008 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature