Using Unsupervised Clustering to Characterize Phenotypes Among Older Kidney Transplant Recipients: A Cohort Study
In a national cohort of older kidney transplant recipients, unsupervised clustering generated 3 clinically distinct recipient phenotypes. These phenotypes may aid in complementing allocation decisions, providing prognostic information, and optimizing post-transplant care for older recipients.
Authors
- Kenneth A. West (ORCID: https://orcid.org/0000-0002-8865-1275)
- Karthik Tennankore (ORCID: https://orcid.org/0000-0002-7919-6709)
- Samina Abidi (ORCID: https://orcid.org/0000-0002-7805-6122)
- George Worthen (ORCID: https://orcid.org/0000-0003-2437-0914)
- Syed Sibte Raza Abidi (ORCID: https://orcid.org/0000-0003-3075-7736)
- Amanda J. Vinson (ORCID: https://orcid.org/0000-0002-9345-5252)
- Sareen Singh (ORCID: https://orcid.org/0009-0009-7014-4089)
- Syed Asil Ali Naqvi (ORCID: https://orcid.org/0000-0003-1422-3793)
- Thomas A. A. Skinner
Institutions
- Dalhousie University (CA)
- Queen's University (CA)
Publication Details
- Journal
- Canadian Journal of Kidney Health and Disease
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1177/20543581251322576
- Primary Topic
- Renal Transplantation Outcomes and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00