Systematic Review and Meta-analysis of the Predictive Performance of Stroke and Bleeding Prediction Models in Atrial Fibrillation Patients With Kidney Disease.

ABSTRACT:

Rationale & objective

Patients with atrial fibrillation (AF) and chronic kidney disease (CKD) are at high risk for ischemic stroke (IS) and bleeding. The applicability of prediction models in this population remains debated. This study aimed to (1) identify external validations of CHA₂DS₂-VASc, CHADS₂, HAS-BLED, and HEMORR₂HAGES model scores in patients with AF undergoing dialysis or with CKD, (2) provide pooled estimates, and (3) assess their risk of bias (ROB).

Study design

Systematic review and meta-analysis.

Setting & participants

We searched Web of Science, PubMed, MEDLINE, Embase, Emcare, PMC, Cochrane Library, and Academic Search Premier for studies externally validating IS and bleeding prediction models in patients w

SUBMITTER: Langenhuijsen LFS 

PROVIDER: S-EPMC12861232 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature