Predictive model of recurrent ischemic stroke: model development from real-world data.

ABSTRACT:

Background

There are established correlations between risk factors and ischemic stroke (IS) recurrence; however, does the hazard of recurrent IS change over time? What is the predicted baseline hazard of recurrent IS if there is no influence of variable predictors? This study aimed to quantify the hazard of recurrent IS when the variable predictors were set to zero and quantify the secondary prevention influence on the hazard of recurrent ischemic stroke.

Methods

In the population cohort involved in this study, data were extracted from 7,697 patients with a history of first IS attack registered with the National Neurology Registry of Malaysia from 2009 to 2016. A time-to-recurrent IS model was developed using NONMEM version 7.5. Three baseline hazard models were fitted into

SUBMITTER: Elhefnawy ME 

PROVIDER: S-EPMC10176964 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature