Ghizelda R Lagerweij
Ghizelda R Lagerweij published latest article in Journal of clinical epidemiology entitled Predicted burden could replace predicted risk in preventive strategies for?cardiovascular disease. This article is available in PubMed with an unique identification number PMID: 28943378 and it is published in 2018. The coauthors of this article are Lagerweij GR, de Wit GA, Moons KGM, Verschuren WMM, Boer JMA, Koffijberg H.
Latest Publication Details
Article Title: Predicted burden could replace predicted risk in preventive strategies for?cardiovascular disease.
Co-Author(s): Lagerweij GR, de Wit GA, Moons KGM, Verschuren WMM, Boer JMA, Koffijberg H
Affiliation(s): Julius Center for Health Sciences and Primary Care, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands; Netherlands Heart Institute, Holland Heart House, Moreelsepark 1, 3511 EP, Utrecht, The Netherlands. Electronic address: email@example.com.
PMID 28943378, Year 2018
Abstract: The objective of this study was to explore the extent of the differences in definitions of composite end points and assess how these differences influence estimates of cardiovascular disease (CVD) burden.Data from a Dutch cohort study (n?=?19,484) was used to calculate 10-year risks according to four CVD risk prediction models: Adult Treatment Panel (ATP) III, Framingham Global Risk Score (FRS), Pooled Cohort Equations (PCE), and SCORE. Health loss was estimated based on the impact of event types included in the corresponding composite end points. Finally, each prediction model was used to estimate the expected CVD burden in high-risk individuals, expressed as Quality-Adjusted Life Years (QALYs) lost.The definition of the composite end points varied widely across the four models. FRS predicted the highest CVD risks, and the composite end point used in SCORE was associated with the highest health burden. The predicted CVD burden in high-risk individuals was 0.23, 0.74, 0.43, and 0.39 QALYs lost per individual when using ATP, FRS, PCE, and SCORE, respectively.The investigated CVD risk prediction models showed huge variation in definition of composite end points and associated health burden. Therefore, health consequences related to predicted risks cannot be readily compared across prediction models, and estimates of burden of disease depend crucially on the prediction model used.
Journal: Journal of clinical epidemiology