1. Estimation of glomerular filtration rate for drug dosing in patients with very high or low body mass index
- Author
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Erik M. Donker, Pierre Bet, Azam Nurmohamed, Erik Serné, George Louis Burchell, Allon N. Friedman, Antoine Bouquegneau, Sandrine Lemoine, Natalie Ebert, Massimo Cirillo, Michiel A. van Agtmael, Imke H. Bartelink, Internal medicine, Clinical pharmacology and pharmacy, APH - Mental Health, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Nephrology, ACS - Diabetes & metabolism, ACS - Microcirculation, Vrije Universiteit Amsterdam [Amsterdam] (VU), Indiana University School of Medicine, Indiana University System, Centre Hospitalier Universitaire de Liège (CHU-Liège), Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hospices Civils de Lyon (HCL), Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], University of Naples Federico II = Università degli studi di Napoli Federico II, and CarMeN, laboratoire
- Subjects
[SDV] Life Sciences [q-bio] ,Thinness ,General Neuroscience ,Creatinine ,[SDV]Life Sciences [q-bio] ,Humans ,General Medicine ,Obesity ,General Pharmacology, Toxicology and Pharmaceutics ,Renal Insufficiency, Chronic ,General Biochemistry, Genetics and Molecular Biology ,Body Mass Index ,Glomerular Filtration Rate - Abstract
International audience; An accurate estimated glomerular filtration rate (eGFR) is essential in drug dosing. This study demonstrates the limitations of indexed (ml/min/1.73 m(2) ) and de-indexed (ml/min) eGFR based drug dosing in patients with obesity or underweight. This systematic study aimed to determine the most appropriate approach to estimate the GFR for standardized eGFR based drug dosing in these patients. (Raw) data of 12 studies were selected to investigate the accuracy and bias of both the indexed and de-indexed estimations of the Modification of Diet in Renal Disease (MDRD) study equation and the Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI), and of the Cockcroft-Gault (CG) in patients with obesity or underweight. Accuracy was calculated as the proportion of eGFR values within 30% of the measured GFR (P30) using an inert tracer (e.g., iohexol, inulin, (51) Cr-EDTA, or iothalamate clearance). An accuracy of at least 80% was considered acceptable. GFR values estimated with the CG, MDRD, and CKD-EPI differ significantly within a patient with obesity or underweight regardless of whether it is indexed or de-indexed. All studies, with two exceptions, show that all three equations are inaccurate for patients with underweight or class II obesity (P30: 55%-94%). De-indexing eGFR improves not or modestly the accuracy, and mostly remains below the 80% (P30: 62%-100%). CG was highly inaccurate in obese and underweight patients (P30: 7%-82%). Although these results show that CG is obsolete, the accuracy of MDRD and CKD-EPI is low in patients with obesity or underweight and de-indexing is not the solution. Better education and more accurate methods for appropriate drug dosing (e.g., measured GFR with inert tracer, therapeutic drug monitoring, or 24-h creatinine clearance) are recommended.
- Published
- 2022
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