Prediction Models for Acute Kidney Injury in Stroke Patients: A Systematic Review.

ABSTRACT:

Introduction

To systematically identify and synthesize the research on prediction models for acute kidney injury (AKI) in stroke patients.

Methods

CNKI, Wanfang, VIP, CBM, PubMed, Cochrane Library, Embase, and Web of Science were searched from inception to April 26, 2025. The fundamental characteristics of the included studies were extracted, including model construction, predictors, model performance, and presentation methods.

Results

A total of 35 prediction models were identified in this systematic review, with area under the curve (AUC) values ranging from 0.428 to 1.000. Seven studies performed external validation. Common predictors included hypertension, serum creatinine levels, age, diuretic use, mechanical ventilation, and the National Institutes of Health Str

SUBMITTER: Zhong B 

PROVIDER: S-EPMC12778413 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature