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<p>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.</p>

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Precision cardiovascular risk prediction in type 1 diabetes: An IMI2 SOPHIA analysis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月16日

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  • 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

摘要

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.