Key result
Intensive antihypertensive treatment reduced cardiovascular outcomes in extra risky (HR 0.73; 95% CI 0.55-0.98) and index hypertensives (HR 0.54; 95% CI 0.37-0.79) identified via cluster analysis.
Why the study?
Hypertensive patients are highly heterogeneous in cardiovascular prognosis and treatment responses, and a better classification system with phenomapping could help identify high-risk patients and direct individualized antihypertensive treatment.
Does intensive antihypertensive treatment have differential effects on cardiovascular outcomes across phenotypically distinct subgroups of hypertensive patients?
Observational
Does intensive antihypertensive treatment have differential effects on cardiovascular outcomes across phenotypically distinct subgroups of hypertensive patients?
Effect estimate: HR 0.73 (cluster 4) and HR 0.54 (cluster 1) (95% CI 0.55-0.98 (cluster 4); 0.37-0.79 (cluster 1))
Machine learning-based phenomapping of hypertensive patients identifies distinct subgroups with varying cardiovascular risk and differential responses to intensive blood pressure lowering.
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Phenomapping may identify hypertensive subgroups for intensive therapy; hypothesis-generating and requires randomized confirmation.
Yang et al. (2019) conducted an observational in Hypertension. Intensive antihypertensive treatment was evaluated on Cardiovascular outcomes (HR 0.73 (cluster 4) and HR 0.54 (cluster 1), 95% CI 0.55-0.98 (cluster 4); 0.37-0.79 (cluster 1)). Intensive antihypertensive treatment reduced cardiovascular outcomes in extra risky (HR 0.73; 95% CI 0.55-0.98) and index hypertensives (HR 0.54; 95% CI 0.37-0.79) identified via cluster analysis.
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