Your browser doesn't support javascript.
loading
Kinetic GFR Outperforms CKD-EPI for Slow Graft Function Prediction in the Immediate Postoperative Period Following Kidney Transplantation.
Dash, Jonathan; Verissimo, Thomas; Faivre, Anna; Berchtold, Lena; Berney, Thierry; Pugin, Jérôme; de Seigneux, Sophie; Legouis, David.
Affiliation
  • Dash J; Division of Internal Medicine, Department of Medicine, University Hospitals of Geneva, 1205 Geneva, Switzerland.
  • Verissimo T; Laboratory of Nephrology, Department of Medicine, University Hospitals of Geneva, 1205 Geneva, Switzerland.
  • Faivre A; Department of Cell Physiology, Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland.
  • Berchtold L; Laboratory of Nephrology, Department of Medicine, University Hospitals of Geneva, 1205 Geneva, Switzerland.
  • Berney T; Department of Cell Physiology, Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland.
  • Pugin J; Division of Nephrology, Department of Medicine, University Hospitals of Geneva, 1205 Geneva, Switzerland.
  • de Seigneux S; Division of Transplantation, Department of Surgery, University Hospitals of Geneva, 1205 Geneva, Switzerland.
  • Legouis D; Division of Intensive Care, Department of Acute Medicine, University Hospital of Geneva, 1205 Geneva, Switzerland.
J Clin Med ; 9(12)2020 Dec 10.
Article in En | MEDLINE | ID: mdl-33322021
ABSTRACT

BACKGROUND:

Rapid identification of patients at high risk for slow graft function (SGF) is of major importance in the immediate period following renal graft transplantation, both for early therapeutic decisions and long-term prognosis. Due to the high variability of serum creatinine levels after surgery, glomerular filtration rate (GFR) estimation is challenging. In this situation, kinetic estimated GFR (KeGFR) equations are interesting tools but have never been assessed for the identification of SGF patients.

METHODS:

We conducted a single-center retrospective cohort study, including all consecutive kidney allograft recipients in the University Hospitals of Geneva from 2008 to 2016. GFR was estimated using both CKD-EPI and KeGFR formulae. Their accuracies for SGF prediction were compared. Patients were followed up for one year after transplantation.

RESULTS:

A total of 326 kidney recipients were analyzed. SGF occurred in 76 (23%) patients. KeGFR estimation stabilized from the day following kidney transplantation, more rapidly than CKD-EPI. Discrimination ability for SGF prediction was better for KeGFR than CKD-EPI (AUC 0.82 and 0.66, p < 0.001, respectively).

CONCLUSION:

KeGFR computed from the first day after renal transplantation was able to predict SGF with good discrimination, outperforming CKD-EPI estimation. SGF patients had lower renal graft function overall at the one-year follow up.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: J Clin Med Year: 2020 Document type: Article Affiliation country: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: J Clin Med Year: 2020 Document type: Article Affiliation country: Switzerland