Estimation of Kinetic Glomerular Filtration Rate in Patients with Decompensated Heart Failure

Y. C. Costa, F. Delfino, V. Mauro, H. Trevisani, Enrique B. Fairman, Adrián Charask, Alesis Raffaeli, C. Barrero
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Abstract

Background: The coexistence of decompensated heart failure (DHF) and acute renal failure (ARF) is associated with longerhospital stay and greater mortality.Objectives: The aim of this study was to evaluate whether kinetic glomerular filtration rate (KeGFR) estimated with Chen´sequation can predict the development of ARF or mortality during hospitalization in patients with DHF.Methods: We conducted a retrospective study of consecutive patients with estimated kinetic glomerular filtration rate usingserum creatinine levels on admission and at 24 hours. The primary endpoint was a composite of ARF or mortality, and aROC curve was built to find the cutoff value with the best sensitivity and specificity to predict events. Acute renal failure wasdefined according to the KDIGO guideline. Patients were followed-up throughout hospitalization and those with a history ofchronic renal failure were excluded from the study.Results: Among 813 patients, 190 were excluded due to chronic renal failure and 608 patients were analyzed. Median age was81 years (IQR 25-75%: 73-87) and 48% were men; 25.5% were diabetics, 76% had hypertension, 19.4% had history of priormyocardial infarction and 46.8% presented left ventricular systolic dysfunction defined as left ventricular ejection fraction<45%. Median creatinine level on admission was 1.05 mg/dl. The incidence of the composite event was 41.1%. Age, sex andcomorbidities were similar in patients with and without the composite event, but KeGFR was significantly lower in this groupof patients (median: 50.7 ml/min vs. 57.9 ml/min, p<0.01) and resulted an independent predictor of mortality. The analysis ofthe ROC curve revealed that a cutoff point of 60 ml/kg/min for KeGFR (AUC 0.60) had the best diagnostic accuracy to predictthe composite event and was present in 58.9% of the patients. Age, female sex, hypertension and diabetes were predictors ofthe composite event.Conclusions: Kinetic glomerular filtrate rate can be used as an independent predictor of the composite event, but has no clinicalrelevance due to its low specificity.
失代偿性心力衰竭患者动态肾小球滤过率的测定
背景:失代偿性心力衰竭(DHF)和急性肾功能衰竭(ARF)共存与住院时间更长和死亡率更高有关。目的:本研究的目的是评估Chen序列法测定的肾小球动态滤过率(KeGFR)是否可以预测DHF患者住院期间ARF的发展或死亡率。方法:我们对连续患者进行回顾性研究,使用入院时和24小时血清肌酐水平估计动态肾小球滤过率。以ARF或死亡率为主要终点,构建aROC曲线,寻找敏感性和特异性最佳的截断值,预测事件。根据KDIGO指南定义急性肾衰竭。在整个住院期间对患者进行随访,有慢性肾衰竭史的患者被排除在研究之外。结果:813例患者中,因慢性肾功能衰竭排除190例,分析608例。中位年龄为81岁(IQR 25-75%: 73-87), 48%为男性;25.5%为糖尿病患者,76%有高血压,19.4%有心肌梗死史,46.8%有左心室收缩功能不全(左室射血分数<45%)。入院时中位肌酐水平为1.05 mg/dl。综合事件发生率为41.1%。有和没有复合事件的患者的年龄、性别和合并症相似,但这组患者的KeGFR显著降低(中位数:50.7 ml/min vs. 57.9 ml/min, p<0.01),并成为死亡率的独立预测因子。ROC曲线分析显示,KeGFR的截断点为60 ml/kg/min (AUC 0.60)具有预测复合事件的最佳诊断准确性,58.9%的患者存在该截断点。年龄、女性、高血压和糖尿病是复合事件的预测因子。结论:动态肾小球滤液率可作为复合事件的独立预测因子,但由于其特异性较低,没有临床相关性。
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