Extracellular Fluid Volume and Mortality after Kidney Transplantation.


Journal

Kidney360
ISSN: 2641-7650
Titre abrégé: Kidney360
Pays: United States
ID NLM: 101766381

Informations de publication

Date de publication:
09 Oct 2024
Historique:
received: 07 01 2024
accepted: 17 09 2024
medline: 9 10 2024
pubmed: 9 10 2024
entrez: 9 10 2024
Statut: aheadofprint

Résumé

High extracellular fluid volume (ECV) is associated with an increased risk of death in non-transplanted patients with chronic kidney disease (CKD). By contrast, both the determinants and the prognosis value of ECV in kidney transplant recipients (KTR) remain unclear. We studied a bicentric prospective cohort of 2057 KTR, who underwent glomerular filtration rate measurement (mGFR) three months after transplantation. We calculated ECV from iohexol plasma disappearance curve and analyzed its association with patient's characteristics and outcomes. Mean ECV and mGFR were 14.6±2.6L/1.73m2 and 52±16mL/min/1.73m2, respectively. Multiple linear regression identified male gender, older donor and recipient ages, deceased donor, non-preemptive transplantation, diabetes, cardiac arrhythmia, heart failure, proteinuria and higher mGFR as independent factors associated with increased ECV. In multivariable cause specific cox analyzes, higher tertiles of ECV were associated with increased mortality [tertile 1 as reference; hazard ratio (95% confidence interval) for tertile 2: 1.65 (1.11-2.47); tertile 3: 1.80 (1.18-2.74)] but not graft loss. Increased ECV, 3 months after transplantation, was a predictor of reduced mGFR at 12 months after adjusting for three months mGFR and other confounding factors (β coefficient: -0.06; 95%CI [-0.09 to -0.02]). an elevated ECV 3 months after KT is independently associated with increased mortality and decreased mGFR at 12 months, but not with graft loss.

Sections du résumé

BACKGROUND BACKGROUND
High extracellular fluid volume (ECV) is associated with an increased risk of death in non-transplanted patients with chronic kidney disease (CKD). By contrast, both the determinants and the prognosis value of ECV in kidney transplant recipients (KTR) remain unclear.
METHODS METHODS
We studied a bicentric prospective cohort of 2057 KTR, who underwent glomerular filtration rate measurement (mGFR) three months after transplantation. We calculated ECV from iohexol plasma disappearance curve and analyzed its association with patient's characteristics and outcomes.
RESULTS RESULTS
Mean ECV and mGFR were 14.6±2.6L/1.73m2 and 52±16mL/min/1.73m2, respectively. Multiple linear regression identified male gender, older donor and recipient ages, deceased donor, non-preemptive transplantation, diabetes, cardiac arrhythmia, heart failure, proteinuria and higher mGFR as independent factors associated with increased ECV. In multivariable cause specific cox analyzes, higher tertiles of ECV were associated with increased mortality [tertile 1 as reference; hazard ratio (95% confidence interval) for tertile 2: 1.65 (1.11-2.47); tertile 3: 1.80 (1.18-2.74)] but not graft loss. Increased ECV, 3 months after transplantation, was a predictor of reduced mGFR at 12 months after adjusting for three months mGFR and other confounding factors (β coefficient: -0.06; 95%CI [-0.09 to -0.02]).
CONCLUSION CONCLUSIONS
an elevated ECV 3 months after KT is independently associated with increased mortality and decreased mGFR at 12 months, but not with graft loss.

Identifiants

pubmed: 39382974
doi: 10.34067/KID.0000000587
pii: 02200512-990000000-00489
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Society of Nephrology.

Auteurs

Melissa Ould Rabah (MO)

Department of Physiology, Necker Hospital, Assistance Publique Hôpitaux de Paris, F-75015, Paris, France.
Université de Paris-cité, Faculté de Médecine Necker, F-75006, Paris, France.

Lise Morin (L)

Department of Nephrology and Transplantation, Necker Hospital, Assistance Publique Hôpitaux de Paris, F-75015 Paris, France.

Nassim Dali-Youcef (N)

Department of Biochemistry and Molecular Biology, Strasbourg University Hospital, F-67000, Strasbourg, France.

Guillaume Géri (G)

Université de Paris-Saclay, INSERM UMR1018, F-92100, Boulogne-Billancourt, France.

Manal Mazloum (M)

Université de Paris, Faculté de Médecine Necker, INSERM U1151, F-75006, Paris, France.

Nicolas Garcelon (N)

Imagine Institute, Data Science Platform, INSERM UMR 1163 and Université de Paris, F-75006, Paris, France.

Julien Husson (J)

Imagine Institute, Data Science Platform, INSERM UMR 1163 and Université de Paris, F-75006, Paris, France.

Malik Touam (M)

Department of Nephrology and Transplantation, Necker Hospital, Assistance Publique Hôpitaux de Paris, F-75015 Paris, France.

Bruno Moulin (B)

Department of Nephrology and Transplantation, Strasbourg University Hospital, F-67000, Strasbourg, France.
Université de Strasbourg, INSERM UMR1109, F-67000, Strasbourg, France.

Sophie Caillard (S)

Department of Nephrology and Transplantation, Strasbourg University Hospital, F-67000, Strasbourg, France.
Université de Strasbourg, INSERM UMR1109, F-67000, Strasbourg, France.

Christophe Legendre (C)

Department of Nephrology and Transplantation, Necker Hospital, Assistance Publique Hôpitaux de Paris, F-75015 Paris, France.
Université de Paris, Faculté de Médecine Necker, INSERM U1151, F-75006, Paris, France.

Dany Anglicheau (D)

Department of Nephrology and Transplantation, Necker Hospital, Assistance Publique Hôpitaux de Paris, F-75015 Paris, France.
Université de Paris, Faculté de Médecine Necker, INSERM U1151, F-75006, Paris, France.

Dominique Prié (D)

Department of Physiology, Necker Hospital, Assistance Publique Hôpitaux de Paris, F-75015, Paris, France.
Université de Paris, Faculté de Médecine Necker, INSERM U1151, F-75006, Paris, France.

Frank Bienaimé (F)

Department of Physiology, Necker Hospital, Assistance Publique Hôpitaux de Paris, F-75015, Paris, France.
Université de Paris, Faculté de Médecine Necker, INSERM U1151, F-75006, Paris, France.

Classifications MeSH