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Identifying Hypertensive Patients From A Simple Algorithm

Researchers have developed a way to predict which patients will benefit most from aggressive high blood pressure treatment. The machine learning algorithm they devised combines three variables routinely collected during clinic visits and demonstrates how the emerging field of bioinformatics could transform patient care. The study was published in the American Journal of Cardiology,

They describe a risk prediction model in which patient age, urinary albumin/creatinine ratio (UACR), and cardiovascular disease history successfully identified hypertensive patients for whom the benefits of intensive therapy outweigh the risks.