Department of Medical Sciences Cardiology Uppsala University Uppsala Sweden.
Uppsala Clinical Research Center Uppsala University Uppsala Sweden.
J Am Heart Assoc. 2020 Sep 15;9(18):e017155. doi: 10.1161/JAHA.120.017155. Epub 2020 Aug 31.
Background We compared different methods of estimated glomerular filtration rate (eGFR) and their association with cardiovascular death and major bleeding in 14 980 patients with atrial fibrillation in the ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation) trial. Methods and Results eGFR was calculated using equations based on creatinine (Cockcroft-Gault, Modification of Diet in Renal Disease, and Chronic Kidney Disease Epidemiology Collaboration [CKD-EPI]) and/or cystatin C (CKD-EPI and CKD-EPI). These 5 eGFR equations, as well as the individual variables that are used in these equations, were assessed for correlation and discriminatory ability for cardiovascular death and major bleeding. The median age was 70.0 years, and 35.6% were women. The median eGFR was highest with Cockcroft-Gault (74.1 mL/min) and CKD-EPI (74.2 mL/min), and lowest with Modification of Diet in Renal Disease (66.5 mL/min). Correlation between methods ranged from 0.49 (Cockroft-Gault and CKD-EPI) to 0.99 (Modification of Diet in Renal Disease and CKD-EPI). Among the eGFR equations, those based on cystatin C yielded the highest C indices for cardiovascular death and major bleeding: 0.628 (CKD-EPI) and 0.612 (CKD-EPI), respectively. A model based on the variables within the different eGFR equations (age, sex, weight, creatinine, and cystatin C) yielded the highest discriminatory value for both outcomes, with a C index of 0.673 and 0.656, respectively. Conclusions In patients with atrial fibrillation on anticoagulation, correlation between eGFR calculated using different methods varied substantially. Cystatin C-based eGFRs seem to provide the most robust information for predicting death and bleeding. A model based on the individual variables within the eGFR equations, however, provided the highest discriminatory value. Our findings may help refine risk stratification in patients with atrial fibrillation and define how renal function should be determined in future atrial fibrillation studies. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT00412984.
背景 在 ARISTOTLE(阿哌沙班用于减少房颤中的中风和其他血栓栓塞事件)试验中,我们比较了 14980 例房颤患者中不同估算肾小球滤过率(eGFR)方法及其与心血管死亡和主要出血的相关性。
方法和结果 eGFR 是基于肌酐(Cockcroft-Gault、改良肾脏病饮食法和慢性肾脏病流行病学合作组[CKD-EPI])和/或胱抑素 C(CKD-EPI 和 CKD-EPI)的方程计算的。评估了这 5 种 eGFR 方程以及这些方程中使用的各个变量在心血管死亡和主要出血方面的相关性和区分能力。中位年龄为 70.0 岁,35.6%为女性。Cockcroft-Gault(74.1 mL/min)和 CKD-EPI(74.2 mL/min)的中位 eGFR 最高,改良肾脏病饮食法(66.5 mL/min)的中位 eGFR 最低。方法之间的相关性范围从 0.49(Cockcroft-Gault 和 CKD-EPI)到 0.99(改良肾脏病饮食法和 CKD-EPI)。在 eGFR 方程中,基于胱抑素 C 的方程在心血管死亡和主要出血方面的 C 指数最高:分别为 0.628(CKD-EPI)和 0.612(CKD-EPI)。基于不同 eGFR 方程中变量的模型(年龄、性别、体重、肌酐和胱抑素 C)在这两种结果中具有最高的区分值,C 指数分别为 0.673 和 0.656。
结论 在接受抗凝治疗的房颤患者中,使用不同方法计算的 eGFR 之间的相关性差异很大。基于胱抑素 C 的 eGFR 似乎能提供最可靠的死亡和出血预测信息。然而,基于 eGFR 方程中个体变量的模型提供了最高的区分值。我们的研究结果可能有助于改善房颤患者的风险分层,并确定在未来的房颤研究中应如何确定肾功能。