2018
DOI: 10.1161/jaha.118.008725
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Disparities in the Estimation of Glomerular Filtration Rate According to Cockcroft‐Gault, Modification of Diet in Renal Disease‐4, and Chronic Kidney Disease Epidemiology Collaboration Equations and Relation With Outcomes in Patients With Acute Coronary Syndrome

Abstract: BackgroundA simple method to assess renal function is the estimated glomerular filtration rate, and it shows prognostic implications. However, it remains unknown which equation should be used in patients with acute coronary syndrome. We compared the ability and correlation of the Cockcroft‐Gault, Modification of Diet in Renal Disease‐4 (MDRD‐4), and Chronic Kidney Disease Epidemiology Collaboration (CKD‐EPI) equations and their predictive performance for major adverse cardiovascular events, all‐cause mortality… Show more

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Cited by 18 publications
(10 citation statements)
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References 34 publications
(61 reference statements)
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“…Cywinski et al showed that estimated renal function was a better prognostic indicator than Scr (30). CCr by Cockcroft-Gault has adequate discriminatory ability, with an AUC > 0.8 for prediction of poor outcomes, which was better than other equations for glomerular filtration rate estimation in patients with acute coronary syndrome (31,32). In addition, renal function is an important element in the GRACE, Mehran, and CRUSADE scales (7,11,12).…”
Section: Discussionmentioning
confidence: 99%
“…Cywinski et al showed that estimated renal function was a better prognostic indicator than Scr (30). CCr by Cockcroft-Gault has adequate discriminatory ability, with an AUC > 0.8 for prediction of poor outcomes, which was better than other equations for glomerular filtration rate estimation in patients with acute coronary syndrome (31,32). In addition, renal function is an important element in the GRACE, Mehran, and CRUSADE scales (7,11,12).…”
Section: Discussionmentioning
confidence: 99%
“…1,26 Concordant with the literature, the correlation between CrCL (using the Cockcroft and Gault equation), 31 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 32 GFR, and the MDRD GFR 27 ARTICLE correlation coefficients 0.69-0.71 and 0.64-0.66, respectively) than that between the MDRD-GFR and CKD-EPI-GFR (range 0.96-0.98). [33][34][35] Despite exclusion of patients with severe or endstage renal disease (CrCl < 25 mL/min (apixaban) 19 or < 30 mL/ min (dabigatran, rivaroxaban, and edoxaban), we demonstrate that clinical trials afford a unique opportunity to assess efficacy and safety of therapeutic interventions across the kidney function spectrum. A large proportion of trial participants had GFR between 45 and 60 (25-29%) or GFR < 45 (9.5-12.6%), creating robust subgroups for analyses.…”
Section: Discussionmentioning
confidence: 93%
“…Ранее в Американском регистре больных с ОКС, включающем 1699 больных из 3 центров, сравнили прогностическую значимость скорость клубочковой фильтрации (СКФ), рассчитанной по формулам MDRD и CKD-EPI, и клиренса креатинина, рассчитанного по формуле Кокрофта-Голта по отношению к риску геморрагических и атеротромботических событий. Оказалось, показатель клиренса креатинина имел большую диагностическую ценность при расчете риска коронарных событий и общей смертности по сравнению со СКФ по формуле MDRD и превосходил СКФ по формуле CKD-EPI при оценке риска кровотечений [30]. В шкале PARIS одним из прогностических факторов является прием антикоагулянтов в составе трой-ной АТТ, в нашей шкале риска любой прием антикоагулянтов оказался предиктором высокого риска кровотечений.…”
Section: материал и методыunclassified