Prevalence and prediction of masked uncontrolled hypertension in patients recently hospitalized for myocardial infarction.

ABSTRACT:

Aims

To study the prevalence of masked uncontrolled hypertension (MUCH) in patients recently hospitalized for myocardial infarction, and to develop machine learning-based prediction models identifying MUCH.

Methods and results

Ambulatory blood pressure measurement (ABPM) was performed in 99 patients following hospitalization for a myocardial infarction. Sixty-two clinical variables were eligible for machine learning. Variable importance for the prediction of MUCH (office blood pressure <140/90 mm Hg at ABPM start but mean 24-h blood pressure ≥130/80 mm Hg) was assessed using the least absolute shrinkage and selection operator (LASSO) and the Boruta algorithms. Logistic regression, LASSO, and random forest models based on the top variables were evaluated using receiver operat

SUBMITTER: Hellqvist H 

PROVIDER: S-EPMC12603615 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature