Development of BK polyomavirus-associated nephropathy risk prediction in kidney transplant recipients
Although the AUC was suboptimal, the results suggest that our model may still be valuable for identifying high-risk patients.
Authors
- Divya Raghavan (ORCID: https://orcid.org/0000-0002-0237-655X)
- Silviana Marineci
- Miklos Zsolt Molnar (ORCID: https://orcid.org/0000-0002-9665-330X)
- Michael Fenlon (ORCID: https://orcid.org/0000-0002-4815-0302)
- Duha Jweehan
- Junji Yamauchi (ORCID: https://orcid.org/0000-0002-6090-2183)
- Şuayp Oygen
- Katalin Fornadi (ORCID: https://orcid.org/0009-0005-6095-4644)
- Motaz Selim (ORCID: https://orcid.org/0000-0003-1204-7933)
- Michael A. Zimmerman (ORCID: https://orcid.org/0000-0002-1177-0911)
- Michelle Buff
Institutions
- University of Utah (US)
Publication Details
- Journal
- Renal Failure
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1080/0886022x.2025.2509785
- Citations
- 1
- Primary Topic
- Polyomavirus and related diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.05