Year: 2026
Type: article
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.
Source: Nature Communications
Authors: 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, Carel W. le Roux, Paul W. Franks, Jose Manuel Fernandez-Real, Stefanie Lanzinger, Bart Van der Schueren
Institutions: KU Leuven, Universität Ulm, German Center for Diabetes Research, Institut Universitari d'Investigació en Atenció Primària Jordi Gol, Lund University, Maastricht University, Schön Klinik Bad Aibling, Instituto de Salud Carlos III, Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition, Institut d'Investigació Biomèdica de Girona, Hospital Universitari de Girona Doctor Josep Trueta, Medical University of Vienna, Universitat de Girona, Institut Català de la Salut, University College Dublin, Novo Nordisk (Denmark), Breakthrough T1D, Bürgerhospital Frankfurt am Main, Universitair Ziekenhuis Leuven, Queen Mary University of London
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $6,990
OpenAlex ID: W7154626560