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ABSTRACT: Background
Stroke risk can be quantified using risk factors whose effect sizes vary by geography and race. No stroke risk assessment tool exists to estimate aggregate stroke risk for indigenous African.Objectives
To develop Afrocentric risk-scoring models for stroke occurrence.Materials and methods
We evaluated 3533 radiologically confirmed West African stroke cases paired 1:1 with age-, and sex-matched stroke-free controls in the SIREN study. The 7,066 subjects were randomly split into a training and testing set at the ratio of 85:15. Conditional logistic regression models were constructed by including 17 putative factors linked to stroke occurrence using the training set. Significant risk factors were assigned constant and standardized statistical weights based on
SUBMITTER: Akpa O
PROVIDER: S-EPMC8511059 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature