Comparison of creatinine-based equations for estimating glomerular filtration rate in deceased donor renal transplant recipients.

Autor: Luciano da Silva Selistre, Sandrine Lemoine, Allyriane Dantec, Fanny Buron, Vandréa Carla de Souza, Mariana Bertoldo, Carlos Eduardo Poli-de-Figueiredo, Thomas Rimmelé, Olivier Thaunat, Lionel Badet, Emmanuel Morelon, Antoine Sicard, Laurence Dubourg
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: PLoS ONE, Vol 15, Iss 4, p e0231873 (2020)
Druh dokumentu: article
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0231873
Popis: BACKGROUND:Estimating glomerular filtration rate (GFR) is important for clinical management in kidney transplantation recipients (KTR). However, very few studies have evaluated the performance of the new GFR estimating equations (Lund-Malmö Revised-LMR, and Full Age Spectrum-FAS) in KTR. METHODS:GFR was estimated (eGFR) using CKD-EPI, MDRD, LMR, and FAS equations and compared to GFR measurement (mGFR) by reference methods (inuline urinary and iohexol plasma clearance) in 395 deceased-donor KTR without corticosteroids. The equations performance was assessed using bias (mean difference of eGFR and mGFR), precision (standard deviation of the difference), accuracy (concordance correlation coefficient-CCC), and agreements (total deviation index-TDI). The area under receiver operating characteristic curves (ROC) and the likelihood ratio for a positive result were calculated. RESULTS:In the total population, the performance of the CKD-EPI, MDRD and FAS equations was significantly lower than the LMR equation regarding the mean [95%CI] difference in bias (-2.0 [-4.0; -1.5] versus 9.0 [7.5; 10.0], 5.0 [3.5; 6.0] and 10.0 [8.5; 11.0] mL/min/1.73m2, P0.900), and LMR equation had the best ability to correctly predict KTR with mGFR
Databáze: Directory of Open Access Journals
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