Development and validation of a prediction model for acute kidney injury following cardiopulmonary bypass surgery.

ABSTRACT:

Background

Acute renal impairment following cardiopulmonary bypass (CPB) is a serious perioperative complication with sustained occurrence. Proactive risk assessment and preventive strategies are crucial for enhancing surgical outcomes.

Methods

This prospective observational cohort study was conducted at a provincial tertiary hospital in Zhejiang Province, China, and involved 211 patients with heart disease who underwent CPB. Least absolute shrinkage and selection operator (LASSO) regression and best-subsets regression (BSR) were used to identify predictive variables for post-CPB acute kidney injury (AKI). A nomogram was constructed based on the selected predictors, and the model performance was evaluated using receiver operating characteristic curves, calibration plots, dec

SUBMITTER: Zhao J 

PROVIDER: S-EPMC12751627 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature