Using metabolic syndrome severity in the “real world”: Associations with diabetes and cardiovascular disease in all of us vs. NHANES
While EHR data is limited by selection bias and data accuracy concerns (e.g. lack of fasting laboratory testing), we found overall similar relationships between MetS-severity, diabetes and CVD in EHR-based and research-based cohorts, supporting utility of these data in risk algorithms.
Authors
- Matthew J. Gurka (ORCID: https://orcid.org/0000-0002-3371-4582)
- Marieke Jones (ORCID: https://orcid.org/0000-0001-5045-6725)
- Mark Daniel DeBoer (ORCID: https://orcid.org/0000-0003-1462-591X)
- Mark E. Smolkin (ORCID: https://orcid.org/0009-0009-2442-0388)
Institutions
- University of Virginia (US)
Publication Details
- Journal
- Metabolism Open
- Published
- 2025-11-05
- DOI
- https://doi.org/10.1016/j.metop.2025.100415
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 0.00