Journal article
Kidney donor risk index (KDRI) fails to predict kidney allograft survival in HIV (+) recipients
Transplantation, v 98(4), pp 436-442
27 Aug 2014
PMID: 24621536
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We used the United Network of Organ Sharing Standard Transplant Analysis and Research Files (STAR files) to investigate the utility of the Kidney Donor Risk Index (KDRI) versus delayed graft function (DGF) to predict graft survival in the HIV (+) kidney transplant recipients.
Individual matching (one case to five controls) was used to investigate predictive ability of the KDRI for graft survival in HIV (+) recipients (cases) as compared to HIV (-) recipients (controls) leaving 400 HIV (+) recipients matched with 1,904 HIV (-) recipients. Cox proportional hazard regression model was used to test association of the KDRI and DGF with graft survival. The relationship of the KDRI with graft survival was also explored by using Kaplan-Meier analysis.
HIV (+) and HIV (-) cohorts were well matched in terms of race, HCV co-infection, panel reactive antibody, and wait time except HIV + were more frequently diabetic. Donor qualities were similar between the cohorts, including method of allograft preservation pretransplant, HLA matching, and calculated KDRI. There was no significant difference in survival based on the KDRI quintiles among the HIV (+) cohort (logrank sum P=0.4986). Graft survival within the HIV (+) cohort was significantly worse in the DGF (+) group than the DGF (-) group (logrank P<0.01).
We found that the KDRI did not predict graft survival for HIV (+) kidney transplant recipients; however, the presence of DGF continues to have a negative impact on the graft survival. Future predictive models should include DGF as a variable.
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Details
- Title
- Kidney donor risk index (KDRI) fails to predict kidney allograft survival in HIV (+) recipients
- Creators
- Gregory Malat - 1 Department of Pharmacy, Hahnemann University Hospital, Philadelphia, PA. 2 Department of Surgery, Drexel University College of Medicine, Philadelphia, PA. 3 Department of Surgery and Global Health, Uniformed Services School of Medicine, Bethesda, MD. 4 Departments of Medicine and Surgery, The George Washington University, Washington, DC. 5 Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA. 6 Department of Biostatistics, Drexel University, Philadelphia, PA. 7 Department of Medicine, Drexel University College of Medicine, Philadelphia, PA. 8 Address correspondence to: Rahul M. Jindal, M.D., Ph.D., M.B.A., Walter Reed NMMC, 8901 Wisconsin Ave, Bethesda, MD 20889Rahul M JindalKathan MehtaEdward GracelyKarthik RangannaAlden Doyle
- Publication Details
- Transplantation, v 98(4), pp 436-442
- Publisher
- Lippincott; United States
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- MD (Doctor of Medicine) Program; Medicine (Graduate); College of Medicine; Surgery
- Web of Science ID
- WOS:000340880000020
- Scopus ID
- 2-s2.0-84908046618
- Other Identifier
- 991014878044304721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Immunology
- Surgery
- Transplantation