Auxiliary Data as Surrogates for Systematic Coronary Risk Evaluation Model Version 2 Risk Calculator Inputs: Design and Methodology of the Frauenherzen Study in Apparently Healthy Women Aged 40-69 Years

作者：Pavicic E, Strasser M, Wyss P, Lozza-Fiacco S, Moraru M, Bower DV, Iskandar R, Stute P · 发表于：Gynecologic and obstetric investigation · 年份：2026 · DOI：10.1159/000552881 · 被引用次数：21 · 研究领域：Cardiovascular disease risk、Health monitoring、Menopause、Risk prediction、Wearable devices

OBJECTIVES: The aim of the study was to investigate whether data collected from wearable devices, such as heart rate, step count, and sleep-related parameters, can reduce uncertainty in cardiovascular disease (CVD) risk prediction among apparently healthy women aged 40-69 years when blood pressure and blood lipid values required for the SCORE2 risk calculator are unavailable. A secondary objective was to identify wearable-derived features that contribute most to reducing uncertainty in CVD risk prediction. DESIGN: This was a monocentric, exploratory, cross-sectional observational study. Participants/Materials: Women aged 40-69 years with and without cardiovascular risk factors were invited to participate. Eligible participants were biologically female, fluent in German, owned a smartphone, and provided written informed consent. Women with diagnosed CVD, diabetes mellitus, chronic kidney disease, or familial hypercholesterolemia were excluded. The study uses clinical assessments, blood sampling, validated questionnaires, and 7-day continuous monitoring with a Garmin® Vivosmart 5 wearable device. SETTING: The study was conducted at the Department of Obstetrics and Gynecology, University Hospital of Bern, Inselspital, Switzerland. METHODS: Participants attended two study visits scheduled 7 to 10 days apart. At baseline, anthropometric measures, blood pressure, pulse, waist circumference, blood samples for lipid profile and HbA1c, and questionnaire data on medical history, nut...