Precision cardiovascular risk prediction in type 1 diabetes: An IMI2 SOPHIA analysis
Abstract
Abstract Cardiovascular disease (CVD) is a major long-term complication and the leading cause of morbidity and mortality among individuals with type 1 diabetes (T1D), with a substantially higher prevalence compared to the general population and driven by multiple interrelated risk factors—underscoring the urgent need for accurate risk assessment. To support more tailored approaches to CVD prevention, recently, five discordant phenotypic risk profiles for CVD were identified in the general population in Europe with diverse relationship between body mass index and cardiometabolic biomarkers. Here, we show their applicability in 44,212 people with T1D. Improved glycemic control was linked to a decrease in CVD risk as people with T1D with lower glycated hemoglobin belonged to the baseline concordant cluster. This supports the contention that glycemic control in people with T1D is an integral part of lowering CVD risk.
Article Details
Authors (24)
Sofia Pazmino
Stefanie Schmid
Jordi Blanch
Daniel Coral
Nele Steenackers
Nicole Forestier
Laura Gallardo-Nuell
Naichuan Zhang
Birgit Reinhart-Steininger
Yenny Leal
Amar van Laar
Rafael Ramos
Shreekar Bharadwaj Araveti
Ditte F. Heidemann
Kinga Nowak
Jonathan Rosen
Carmen Hurtado del Pozo
Christian-Dominik Möller
Chantal Mathieu
Katholieke Universiteit Leuven, Leuven, Belgium
Carel W. le Roux
University College Dublin School of Medicine, Dublin
Paul W. Franks
Jose Manuel Fernandez-Real
Stefanie Lanzinger
Bart Van der Schueren