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

Pazmino, Sofia ; Schmid, Stefanie ; Blanch, Jordi ; Coral, Daniel LU orcid ; Steenackers, Nele ; Forestier, Nicole ; Gallardo-Nuell, Laura ; Zhang, Naichuan ; Reinhart-Steininger, Birgit and Leal, Yenny , et al. (2026) In Nature Communications 17(1).
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... (More)

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.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Nature Communications
volume
17
issue
1
article number
5239
publisher
Nature Publishing Group
external identifiers
  • scopus:105041644175
  • pmid:41991529
ISSN
2041-1723
DOI
10.1038/s41467-026-72029-z
language
English
LU publication?
yes
additional info
Publisher Copyright: © The Author(s) 2026.
id
4c6e7437-24b9-4432-81f5-505dc32f743e
date added to LUP
2026-08-25 15:24:22
date last changed
2026-09-08 16:11:40
@article{4c6e7437-24b9-4432-81f5-505dc32f743e,
  abstract     = {{<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>}},
  author       = {{Pazmino, Sofia and Schmid, Stefanie and Blanch, Jordi and Coral, Daniel and Steenackers, Nele and Forestier, Nicole and Gallardo-Nuell, Laura and Zhang, Naichuan and Reinhart-Steininger, Birgit and Leal, Yenny and van Laar, Amar and Ramos, Rafael and Bharadwaj Araveti, Shreekar and Heidemann, Ditte F. and Nowak, Kinga and Rosen, Jonathan and Hurtado del Pozo, Carmen and Möller, Christian Dominik and Mathieu, Chantal and le Roux, Carel W. and Franks, Paul W. and Fernandez-Real, Jose Manuel and Lanzinger, Stefanie and Van der Schueren, Bart}},
  issn         = {{2041-1723}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Nature Communications}},
  title        = {{Precision cardiovascular risk prediction in type 1 diabetes : An IMI2 SOPHIA analysis}},
  url          = {{http://dx.doi.org/10.1038/s41467-026-72029-z}},
  doi          = {{10.1038/s41467-026-72029-z}},
  volume       = {{17}},
  year         = {{2026}},
}