Function and longevity of renal grafts from high-KDPI donors.


Journal

Clinical transplantation
ISSN: 1399-0012
Titre abrégé: Clin Transplant
Pays: Denmark
ID NLM: 8710240

Informations de publication

Date de publication:
09 2022
Historique:
revised: 01 06 2022
received: 22 12 2021
accepted: 09 06 2022
pubmed: 2 7 2022
medline: 21 9 2022
entrez: 1 7 2022
Statut: ppublish

Résumé

High kidney-donor profile index (KDPI) kidneys have a shorter survival than grafts with lower KDPI values. It is still unclear, however, whether their shorter longevity depends on an inferior baseline function, faster functional decline, or the combination of both. We analyzed the estimated glomerular filtration rate (eGFR) of 605 consecutive recipients of deceased donor kidney transplants (KT) at 1, 3, 6, 12, 18, 24, 36, 48, and 60 months. Comparisons were performed among four groups based on KDPI quartile: Group I-KDPI ≤ 25% (n = 151), Group II-KDPI 26-50% (n = 182), Group III-KDPI 51-75% (n = 176), and Group IV-KDPI 〉 75% (n = 96). Linear mixed model analysis was subsequently used to assess whether KDPI was independently associated with the decline in eGFR during the first 5-years after KT. We also analyzed the incidence of delayed graft function (DGF), rejection within the first year after KT, patient survival, graft survival, and death censored graft survival based on KDPI group. High-KDPI grafts had lower eGFR immediately after KT, had a higher incidence of DGF and rejection. However, there were no signifcant differences in the adjusted rate (slope) of decline in eGFR among the four KDPI groups (P = .06). Although patient survival was signigicantly lower for recipients of high-KDPI grafts, death-censored graft survival was similar among the four KDPI groups (P = .33). The shorter functional survival of high-KDPI grafts seems to be due to their lower baseline eGFR rather than a more rapid functional decline after KT.

Sections du résumé

BACKGROUND
High kidney-donor profile index (KDPI) kidneys have a shorter survival than grafts with lower KDPI values. It is still unclear, however, whether their shorter longevity depends on an inferior baseline function, faster functional decline, or the combination of both.
METHODS
We analyzed the estimated glomerular filtration rate (eGFR) of 605 consecutive recipients of deceased donor kidney transplants (KT) at 1, 3, 6, 12, 18, 24, 36, 48, and 60 months. Comparisons were performed among four groups based on KDPI quartile: Group I-KDPI ≤ 25% (n = 151), Group II-KDPI 26-50% (n = 182), Group III-KDPI 51-75% (n = 176), and Group IV-KDPI 〉 75% (n = 96). Linear mixed model analysis was subsequently used to assess whether KDPI was independently associated with the decline in eGFR during the first 5-years after KT. We also analyzed the incidence of delayed graft function (DGF), rejection within the first year after KT, patient survival, graft survival, and death censored graft survival based on KDPI group.
FINDINGS
High-KDPI grafts had lower eGFR immediately after KT, had a higher incidence of DGF and rejection. However, there were no signifcant differences in the adjusted rate (slope) of decline in eGFR among the four KDPI groups (P = .06). Although patient survival was signigicantly lower for recipients of high-KDPI grafts, death-censored graft survival was similar among the four KDPI groups (P = .33).
CONCLUSIONS
The shorter functional survival of high-KDPI grafts seems to be due to their lower baseline eGFR rather than a more rapid functional decline after KT.

Identifiants

pubmed: 35778369
doi: 10.1111/ctr.14759
pmc: PMC9786736
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14759

Informations de copyright

© 2022 The Authors. Clinical Transplantation published by John Wiley & Sons Ltd.

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Auteurs

Michele Molinari (M)

Department of Surgery, Division of Transplantation, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Christof Kaltenmeier (C)

Department of Surgery, Division of Transplantation, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Hao Liu (H)

Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Eishan Ashwat (E)

Department of Surgery, Division of Transplantation, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Dana Jorgensen (D)

Department of Surgery, Division of Transplantation, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Biostatistics, Division of Transplantation, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Chethan Puttarajappa (C)

Department of Medicine, Division of Nephrology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Christine M Wu (CM)

Department of Medicine, Division of Nephrology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Rajil Mehta (R)

Department of Medicine, Division of Nephrology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Puneet Sood (P)

Department of Medicine, Division of Nephrology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Nirav Shah (N)

Department of Medicine, Division of Nephrology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Akhil Sharma (A)

Department of Medicine, Division of Nephrology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Ann Thompson (A)

Department of Surgery, Division of Transplantation, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Dheera Reddy (D)

Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

Sundaram Hariharan (S)

Department of Medicine, Division of Nephrology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

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