Development and Validation of Models to Predict Major Adverse Cardiovascular Events in Chronic Kidney Disease
A model including commonly available administrative data and laboratory results can predict the risk of MACE and MACE+ outcomes among individuals with CKD.
Authors
- Thomas W. Ferguson (ORCID: https://orcid.org/0000-0003-1058-943X)
- Manish M. Sood (ORCID: https://orcid.org/0000-0002-9146-2344)
- Alix Clarke (ORCID: https://orcid.org/0000-0001-9635-2702)
- Juan Jesús Carrero (ORCID: https://orcid.org/0000-0003-4763-2024)
- Ryan J. Bamforth (ORCID: https://orcid.org/0000-0002-8316-2325)
- Alessandro Bosi (ORCID: https://orcid.org/0000-0002-2806-0393)
- Navdeep Tangri (ORCID: https://orcid.org/0000-0002-5075-6370)
- Pietro Ravani (ORCID: https://orcid.org/0000-0001-6973-8570)
Institutions
- University of Ottawa (CA)
- University of Calgary (CA)
- Ottawa Hospital (CA)
- Karolinska Institutet (SE)
- Orthopaedic Innovation Centre (CA)
- University of Manitoba (CA)
Publication Details
- Journal
- CJC Open
- Published
- 2025-02-26
- DOI
- https://doi.org/10.1016/j.cjco.2025.02.016
- Citations
- 1
- Primary Topic
- Blood Pressure and Hypertension Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Amgen
- Eli Lilly and Company
- AstraZeneca
- GlaxoSmithKline
- Alberta Health Services
- University of Calgary
- Government of Alberta
- Kidney Foundation of Canada
- Vetenskapsrådet
- Astellas Pharma
- Servier
- Bayer Canada