Clinical prediction of thrombectomy eligibility: A systematic review and 4-item decision tree.

ABSTRACT:

Background

A clinical large anterior vessel occlusion (LAVO)-prediction scale could reduce treatment delays by allocating intra-arterial thrombectomy (IAT)-eligible patients directly to a comprehensive stroke center.

Aim

To subtract, validate and compare existing LAVO-prediction scales, and develop a straightforward decision support tool to assess IAT-eligibility.

Methods

We performed a systematic literature search to identify LAVO-prediction scales. Performance was compared in a prospective, multicenter validation cohort of the Dutch acute Stroke study (DUST) by calculating area under the receiver operating curves (AUROC). With group lasso regression analysis, we constructed a prediction model, incorporating patient characteristics next to National Institutes of Heal

SUBMITTER: Koster GT 

PROVIDER: S-EPMC6710617 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature