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Dataset Information

Development and validation of a hypertension risk prediction model and construction of a risk score in a Canadian population.


ABSTRACT: Identifying high-risk individuals for targeted intervention may prevent or delay hypertension onset. We developed a hypertension risk prediction model and subsequent risk sore among the Canadian population using measures readily available in a primary care setting. A Canadian cohort of 18,322 participants aged 35-69 years without hypertension at baseline was followed for hypertension incidence, and 625 new hypertension cases were reported. At a 2:1 ratio, the sample was randomly divided into derivation and validation sets. In the derivation sample, a Cox proportional hazard model was used to develop the model, and the model's performance was evaluated in the validation sample. Finally, a risk score table was created incorporating regression coefficients from the model. The multivariable Co

SUBMITTER: Chowdhury MZI 

PROVIDER: S-EPMC9329335 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature