Why the study?
Identifying young adults at high risk of hypertension can improve blood pressure screening recommendations.
Does a new sex-specific risk prediction model improve the identification of young adults at high risk for incident hypertension compared to the 2021 US Preventive Services Task Force recommendations?
Population
355 524 young adults aged 18 to 39 years from Kaiser Permanente Southern California plus 3 external cohorts
Comparison
Incident hypertension risk prediction models vs 2021 US Preventive Services Task Force recommendations
Design
Risk prediction model development and external validation study
Follow-up
Median of 5.4 years
Key result
A new risk prediction model for incident hypertension in young adults demonstrated good discrimination (C-statistic 0.76-0.82) and improved specificity compared to USPSTF screening recommendations.
Authors
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A newly developed sex-specific risk prediction model for incident hypertension in young adults offers improved specificity over current USPSTF screening recommendations, potentially reducing unnecessary screening while efficiently identifying high-risk individuals.
Cohort (n=355,524)
Yes
Does a new sex-specific risk prediction model improve the identification of young adults at high risk for incident hypertension compared to the 2021 US Preventive Services Task Force recommendations?
A newly developed sex-specific risk prediction model for incident hypertension in young adults offers improved specificity over current USPSTF screening recommendations, potentially reducing unnecessary screening while efficiently identifying high-risk individuals.
An et al. (2025) conducted a cohort in Incident hypertension (n=355,524). Incident hypertension risk prediction model vs. 2021 US Preventive Services Task Force blood pressure screening recommendations was evaluated on Incident hypertension. A new risk prediction model for incident hypertension in young adults demonstrated good discrimination (C-statistic 0.76-0.82) and improved specificity compared to USPSTF screening recommendations.