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Alayo QA, Famutimi D, Ayoub M, De Las Fuentes L, Deepak P. Performance of ASCVD Risk Prediction Models in Individuals With Inflammatory Bowel Disease: A UK Biobank Study. Inflamm Bowel Dis 2024:izae007. [PMID: 38241516 DOI: 10.1093/ibd/izae007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Indexed: 01/21/2024]
Abstract
Lay Summary
This study suggests that the current atherosclerotic cardiovascular disease risk prediction models used in clinical practice performed better in the non–inflammatory bowel disease (IBD) cohort compared with IBD, highlighting the need for a more specific risk prediction model tailored to the IBD population.
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Affiliation(s)
- Quazim A Alayo
- Division of Gastroenterology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Daniel Famutimi
- Department of Value Driven Outcomes and Clinical Analytics, University of Missouri Health Care, Columbia, MO, USA
| | - Malek Ayoub
- Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Lisa De Las Fuentes
- Cardiovascular Division, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- Division of Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Parakkal Deepak
- Inflammatory Bowel Diseases Center, Division of Gastroenterology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
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