Prediction of recurrent stroke among ischemic stroke patients with atrial fibrillation: Development and validation of a risk score model.

ABSTRACT:

Background

There is currently no validated risk prediction model for recurrent events among patients with acute ischemic stroke (AIS) and atrial fibrillation (AF). Considering that the application of conventional risk scores has contextual limitations, new strategies are needed to develop such a model. Here, we set out to develop and validate a comprehensive risk prediction model for stroke recurrence in AIS patients with AF.

Methods

AIS patients with AF were collected from multicenter registries in South Korea and Japan. A developmental dataset was constructed with 5648 registered cases from both countries for the period 2011‒2014. An external validation dataset was also created, consisting of Korean AIS subjects with AF registered between 2015 and 2018. Event outcomes were

SUBMITTER: Kim BJ 

PROVIDER: S-EPMC8500448 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature