Performance of creatinine-based equations to estimate glomerular filtration rate with a methodology adapted to the context of drug dosage adjustmentCharité Universitätsmedizin Berlin, Institute of Public Health, Berlin, Germany.
Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsö, Norway.
The Wellchild Laboratory, Evelina London Children's Hospital, London, United Kingdom.
Néphrologie, Dialyse, Hypertension et Exploration Fonctionnelle Rénale, Hôpital Edouard Herriot, Hospices Civils de Lyon, France.
Renal Transplantation Department, Assistance Publique-Hôpitaux de Paris (AP-HP), France.
Department of Nephrology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France.
Department of Clinical Chemistry, Skåne University Hospital, Lund, Lund University, Sweden.
Renal Transplantation Department, CHU Nantes, Nantes University, Nantes, France.
Function area Clinical Chemistry, Karolinska University Laboratory, Karolinska University Hospital Huddinge and Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden.
Department of Nephrology, Dialysis and Organ Transplantation, CHU Rangueil, INSERM U1043, IFR -BMT, University Paul Sabatier, Toulouse, France.
Clinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, United Kingdom.
Hôpital Necker, AP-HP & Université Paris Descartes, Paris, France.
Department of Medicine Huddinge (MedH), Karolinska Institute, Huddinge, Sweden.
Service de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, France.
Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsö, Norway.
Service de Néphrologie, Hémodialyse, Aphérèses et Transplantation Rénale, Hôpital Michallon, CHU Grenoble-Alpes, France.
Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Charité Universitätsmedizin Berlin, Institute of Public Health, Berlin, Germany.
Department of Clinical Science, Intervention and Technology, Division of Pediatrics, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden.
Department of Clinical Science, Intervention and Technology, Division of Pediatrics, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden.
Mestrado em Ciências da Saúde -Universidade Caxias do Sul Foundation CAPES, Brazil.
Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden; Clinical Studies Sweden, Forum South, Skåne University Hospital, Lund, Sweden.
Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden.
Department of Paediatric Nephrology, Emma Children's Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Department of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium.
Department of Translational Medicine, Division of Medical Radiology, Lund University, Malmö, Sweden.
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2022 (English)In: British Journal of Clinical Pharmacology, ISSN 0306-5251, E-ISSN 1365-2125, Vol. 88, no 5, p. 2118-2127Article in journal (Refereed) Published
Abstract [en]
AIM: The Cockcroft-Gault (CG) creatinine-based equation is still used to estimate glomerular filtration rate (eGFR) for drug dosage adjustment. Incorrect eGFR may lead to hazardous over- or underdosing METHODS: In a cross-sectional analysis, CG was validated against measured GFR (mGFR) in 14,804 participants and compared with the Modification-of-Diet-in-Renal-Diseases (MDRD), Chronic-Kidney-Disease-Epidemiology (CKD-EPI), Lund-Malmö-Revised (LMR), and European-Kidney-Function-Consortium (EKFC) equations. Validation focused on bias, imprecision, and accuracy (percentage of estimates within ±30% of mGFR, P30), overall and stratified for mGFR, age, and body mass index at mGFR <60 mL/min, as well as classification in mGFR stages.
RESULTS: The CG equation performed worse than the other equations, overall and in mGFR, age and BMI subgroups in terms of bias (systematic overestimation), imprecision and accuracy except for patients ≥65 years where bias and P30 were similar to MDRD and CKD-EPI, but worse than LMR and EKFC. In subjects with mGFR<60 mL/min and at BMI [18.5-25[kg/m2 , all equations performed similarly and for BMI<18.5kg/m2 CG and LMR had the best results though all equations had poor P30-accuracy. At BMI≥25kg/m2 the bias of the CG increased with increasing BMI (+17.2mL/min at BMI≥40kg/m2 ). The four more recent equations also classified mGFR stages better than CG.
CONCLUSIONS: The CG equation showed poor ability to estimate GFR overall and in analyses stratified for GFR, age, and BMI. CG was inferior to correctly classify the patients in the mGFR staging compared to more recent creatinine-based equations.
Place, publisher, year, edition, pages
Wiley-Blackwell Publishing Inc., 2022. Vol. 88, no 5, p. 2118-2127
Keywords [en]
Chronic kidney disease, drug adjustment, glomerular filtration rate
National Category
Urology and Nephrology
Identifiers
URN: urn:nbn:se:oru:diva-95277DOI: 10.1111/bcp.15132ISI: 000725543800001PubMedID: 34709683Scopus ID: 2-s2.0-85120415018OAI: oai:DiVA.org:oru-95277DiVA, id: diva2:1607130
Funder
Swedish Research Council, 2019-001982021-10-292021-10-292022-05-12Bibliographically approved