AI prediction model for endovascular treatment of vertebrobasilar occlusion with atrial fibrillation.

ABSTRACT: Endovascular treatment (EVT) for vertebrobasilar artery occlusion (VBAO) with atrial fibrillation presents complex clinical challenges. This comprehensive multicenter study of 525 patients across 15 Chinese provinces investigated nuanced predictors beyond conventional metrics. While 45.1% achieved favorable outcomes at 90 days, our advanced machine learning approach unveiled subtle interaction effects among clinical variables not captured by traditional statistical methods. The predictive model distinguished high-risk subgroups by integrating multiple parameters, demonstrating superior prognostic precision compared to standard NIHSS-based assessments. Novel findings include nonlinear relationships between dyslipidemia, stroke severity, and functional recovery. The developed predictive algo

SUBMITTER: Huang ZX 

PROVIDER: S-EPMC11788420 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature