Postdonation eGFR and New-Onset Antihypertensive Medication Use After Living Kidney Donation.


Journal

Transplantation direct
ISSN: 2373-8731
Titre abrégé: Transplant Direct
Pays: United States
ID NLM: 101651609

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 10 04 2019
revised: 13 05 2019
accepted: 21 05 2019
entrez: 3 10 2019
pubmed: 3 10 2019
medline: 3 10 2019
Statut: epublish

Résumé

Limited data are available regarding clinical implications of lower renal function after living kidney donation. We examined a novel integrated database to study associations between postdonation estimated glomerular filtration rate (eGFR) and use of antihypertensive medication (AHM) treatment after living kidney donation. Study data were assembled by linking national U.S. transplant registry identifiers, serum creatinine (SCr) values from electronic medical records, and pharmacy fill records for 3222 living donors (1989-2016) without predonation hypertension. Estimated GFR (mL/min per 1.73 m The linked database identified an average of 3 postdonation SCr values per donor (range: 1-38). Lower postdonation eGFR (vs ≥75) bore graded associations with higher odds of AHM use (eGFR 30-44: aOR This novel linkage illustrates the ability to identify postdonation kidney function and associate it with clinically meaningful outcomes; lower eGFR after living kidney donation is a correlate of AHM treatment requirements. Further work should define relationships of postdonation renal function, hypertension, and other morbidity measures.

Sections du résumé

BACKGROUND BACKGROUND
Limited data are available regarding clinical implications of lower renal function after living kidney donation. We examined a novel integrated database to study associations between postdonation estimated glomerular filtration rate (eGFR) and use of antihypertensive medication (AHM) treatment after living kidney donation.
METHODS METHODS
Study data were assembled by linking national U.S. transplant registry identifiers, serum creatinine (SCr) values from electronic medical records, and pharmacy fill records for 3222 living donors (1989-2016) without predonation hypertension. Estimated GFR (mL/min per 1.73 m
RESULTS RESULTS
The linked database identified an average of 3 postdonation SCr values per donor (range: 1-38). Lower postdonation eGFR (vs ≥75) bore graded associations with higher odds of AHM use (eGFR 30-44: aOR
CONCLUSIONS CONCLUSIONS
This novel linkage illustrates the ability to identify postdonation kidney function and associate it with clinically meaningful outcomes; lower eGFR after living kidney donation is a correlate of AHM treatment requirements. Further work should define relationships of postdonation renal function, hypertension, and other morbidity measures.

Identifiants

pubmed: 31576370
doi: 10.1097/TXD.0000000000000913
pmc: PMC6708633
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e474

Informations de copyright

Copyright © 2019 The Author(s). Transplantation Direct. Published by Wolters Kluwer Health, Inc.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

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Auteurs

Krista L Lentine (KL)

Saint Louis University, St. Louis, MO.

Courtenay M Holscher (CM)

Johns Hopkins University, Baltimore, MD.

Abhijit S Naik (AS)

University of Michigan, Ann Arbor, MI.

Ngan N Lam (NN)

University of Alberta, Edmonton, AB, Canada.

Dorry L Segev (DL)

Johns Hopkins University, Baltimore, MD.

Amit X Garg (AX)

Western University, London, ON, Canada.

David Axelrod (D)

University of Iowa, Iowa City, IA.

Huiling Xiao (H)

Saint Louis University, St. Louis, MO.

Macey L Henderson (ML)

Johns Hopkins University, Baltimore, MD.

Allan B Massie (AB)

Johns Hopkins University, Baltimore, MD.

Bertram L Kasiske (BL)

Hennepin Healthcare, Minneapolis, MN.

Gregory P Hess (GP)

University of Pennsylvania, Philadelphia, PA.

Chi-Yuan Hsu (CY)

University of California, San Francisco, San Francisco, CA.

Meyeon Park (M)

University of California, San Francisco, San Francisco, CA.

Mark A Schnitzler (MA)

Saint Louis University, St. Louis, MO.

Classifications MeSH