A nomogram to predict the in-hospital mortality of patients with congestive heart failure and chronic kidney disease.

ABSTRACT:

Aims

Patients with congestive heart failure (CHF) may also suffer from chronic kidney disease (CKD), and the two conditions may interact to increase the risk of death. The purpose of this study was to investigate the risk factors contributing to in-hospital mortality in patients with CHF and CKD and to develop a nomogram to predict the risk of in-hospital mortality.

Methods and results

This retrospective study used data from the Marketplace for Medical Information in Intensive Care (MIMIC-IV, version 1.0). Patients diagnosed with CHF and CKD in MIMIC-IV were included in this study. The least absolute shrinkage and selection operator (LASSO) logistic regression is used to select risk variables for the nomogram model, and bootstrap is used for internal validation. Simplified A

SUBMITTER: Chen J 

PROVIDER: S-EPMC9715887 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature