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Dataset Information

Development of stroke predictive model in community-dwelling population: A longitudinal cohort study in Southeast China.


ABSTRACT:

Background

Stroke has been the leading cause of death and disability in the world. Early recognition and treatment of stroke could effectively limit brain damage and vastly improve outcomes. This study aims to develop a highly accurate prediction model of stroke with a list of lifestyle behaviors and clinical characteristics to distinguish high-risk groups in the community-dwelling population.

Methods

Participants in this longitudinal cohort study came from the community-dwelling population in Suzhou between November 2018 and June 2019. A total of 4,503 residents participated in the study, while stroke happened to 22 participants in the 2-year follow-up period. Baseline information of each participant was acquired and enrolled in this study. T-test, Chi-square test, a

SUBMITTER: Wang Q 

PROVIDER: S-EPMC9813513 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature