Byron C. Jaeger

Dec 5, 2024 | digitalcommons.library.tmc.edu | Byron C. Jaeger |Matthew W. Segar |Kershaw V. Patel |Vijay Nambi

BACKGROUND: Heart failure (HF) risk and the underlying risk factors vary by race. Traditional models for HF risk prediction treat race as a covariate in risk prediction and do not account for significant parameters such as cardiac biomarkers. Machine learning (ML) may offer advantages over traditional modeling techniques to develop race-specific HF risk prediction models and to elucidate important contributors of HF development across races.

Nov 6, 2024 | academic.oup.com | Byron C. Jaeger

More cardiovascular disease (CVD) events can be attributed to high blood pressure (BP) than any other modifiable risk factor.1,2 The proportion of US adults with hypertension that had controlled BP, defined as systolic BP (SBP) <140 mm Hg and diastolic BP (DBP) <90 mm Hg, increased from 31.8% in 1999–2000 to 53.8% in 2013–2014.3 However, this trend was reversed and in 2017–2020, 48.2% of US adults with hypertension had controlled BP.4 The decline in controlled BP was larger among older...

Jul 11, 2024 | atsjournals.org | Byron C. Jaeger |Use Policies |Surya P. Bhatt |Chaoqi Wu

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Apr 27, 2023 | newswise.com | Byron C. Jaeger

Newswise — WINSTON-SALEM, N.C. – April 27, 2023 – A research team from Wake Forest University School of Medicine has developed an open-source, web-based application that allows users to generate customized hypertension statistics using National Health and Nutrition Examination Survey (NHANES) data. A description of the application and an overview of hypertension statistics for U.S. adults were recently published online in Hypertension, a journal of the American Heart Association.