Renal function estimation and Cockroft-Gault formulas for predicting cardiovascular mortality in population-based, cardiovascular risk, heart failure and post-myocardial infarction cohorts: The Heart 'OMics' in AGEing (HOMAGE) and the high-risk myocardial
Fiche publication
Date publication
novembre 2016
Journal
BMC medicine
Auteurs
Membres identifiés du Cancéropôle Est :
Pr ROSSIGNOL Patrick
Tous les auteurs :
Ferreira JP, Girerd N, Pellicori P, Duarte K, Girerd S, Pfeffer MA, McMurray JJ, Pitt B, Dickstein K, Jacobs L, Staessen JA, Butler J, Latini R, Masson S, Mebazaa A, Rocca HP, Delles C, Heymans S, Sattar N, Jukema JW, Cleland JG, Zannad F, Rossignol P,
Lien Pubmed
Résumé
Renal impairment is a major risk factor for mortality in various populations. Three formulas are frequently used to assess both glomerular filtration rate (eGFR) or creatinine clearance (CrCl) and mortality prediction: body surface area adjusted-Cockcroft-Gault (CG-BSA), Modification of Diet in Renal Disease Study (MDRD4), and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. The CKD-EPI is the most accurate eGFR estimator as compared to a "gold-standard"; however, which of the latter is the best formula to assess prognosis remains to be clarified. This study aimed to compare the prognostic value of these formulas in predicting the risk of cardiovascular mortality (CVM) in population-based, cardiovascular risk, heart failure (HF) and post-myocardial infarction (MI) cohorts.
Mots clés
Adult, Aged, Aged, 80 and over, Aging, physiology, Cardiovascular Diseases, diagnosis, Cohort Studies, Databases, Factual, trends, Female, Glomerular Filtration Rate, physiology, Heart Failure, diagnosis, Humans, Kidney, physiology, Male, Middle Aged, Myocardial Infarction, diagnosis, Population Surveillance, methods, Predictive Value of Tests, Renal Insufficiency, Chronic, diagnosis, Risk Factors
Référence
BMC Med. 2016 Nov 10;14(1):181