Johns Hopkins Bloomberg School Researchers Develop Universal Risk Predictor for Cardiovascular Disease
Universal risk predictor for cardiovascular disease, suitable for use in both primary and secondary prevention, would streamline risk assessment
Stay updated with breaking news from Michael Bancks. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.
Universal risk predictor for cardiovascular disease, suitable for use in both primary and secondary prevention, would streamline risk assessment
Developed by Bloomberg School researchers, the model could change how doctors worldwide assess patients' chances for heart attacks, strokes, and other cardiac events
Researchers from the Johns Hopkins Bloomberg School of Public Health have developed a single “universal risk prediction model” for cardiovascular disease th
Ethnic differences emerged among subgroups of diabetes characteristics, a new study found. In an analysis of nearly 1,300 people with diabetes, five distinct types of diabetes cases were identified -- older age at diabetes onset (43%), severe hyperglycemia (26%), severe obesity (20%), younger age at onset (1%), and requiring insulin medication use (9%), reported Michael Bancks, PhD, MPH, of Wake Forest School of Medicine in Winston-Salem, North Carolina, and colleagues. The distribution of patients within each diabetes subgroup varied vastly according to ethnicity and clinical characteristi...