The added value of electrocardiogram abnormalities in predicting incident cardiovascular disease risk for people with Type 2 diabetes: the Hoorn Diabetes Care System cohort
The addition of ECG abnormalities to incident CVD-risk prediction models moderately but consistently improves the ability of models to correctly classify people with T2D in the appropriate CVD-risk category with up to 8%, which is approximately equivalent to many established predictors and (bio)markers.
Authors
- Peter P. Harms (ORCID: https://orcid.org/0000-0002-7721-6198)
- Petra P J M Elders
- Femke Rutters (ORCID: https://orcid.org/0000-0002-1008-678X)
- Marieke T. Blom (ORCID: https://orcid.org/0000-0002-8088-1105)
- Giel Nijpels (ORCID: https://orcid.org/0000-0002-3679-9710)
- Sharon Remmelzwaal (ORCID: https://orcid.org/0000-0003-3399-5836)
- Reinier A.R. Herings (ORCID: https://orcid.org/0000-0002-1716-4701)
- Joline W.J. Beulens
Institutions
- Heart Rhythm Society (US)
- GGD Amsterdam (NL)
- Public Health Service of Amsterdam (NL)
- Amsterdam University Medical Centers (NL)
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- European Journal of Preventive Cardiology
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1093/eurjpc/zwaf033
- Citations
- 5
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 6.94
Funders
- Amsterdam University Medical Centers
- European Commission
- European Foundation for the Study of Diabetes
- ZonMw