Testani Jeffrey M, Hanberg Jennifer S, Cheng Susan, Rao Veena, Onyebeke Chukwuma, Laur Olga, Kula Alexander, Chen Michael, Wilson F Perry, Darlington Andrew, Bellumkonda Lavanya, Jacoby Daniel, Tang W H Wilson, Parikh Chirag R
From the Department of Internal Medicine (J.M.T., M.C., F.P.W., L.B., D.J., C.R.P.) and Program of Applied Translational Research (J.M.T., J.S., S.C., V.R., C.O., O.L., A.K., F.P.W., C.R.P.), Yale University School of Medicine, New Haven, CT; Piedmont Heart Institute, Fayetteville, GA (A.D.); and Section of Heart Failure and Cardiac Transplantation, Cleveland Clinic, OH (W.H.W.T.).
Circ Heart Fail. 2016 Jan;9(1):e002370. doi: 10.1161/CIRCHEARTFAILURE.115.002370.
Removal of excess sodium and fluid is a primary therapeutic objective in acute decompensated heart failure and commonly monitored with fluid balance and weight loss. However, these parameters are frequently inaccurate or not collected and require a delay of several hours after diuretic administration before they are available. Accessible tools for rapid and accurate prediction of diuretic response are needed.
Based on well-established renal physiological principles, an equation was derived to predict net sodium output using a spot urine sample obtained 1 or 2 hours after loop diuretic administration. This equation was then prospectively validated in 50 acute decompensated heart failure patients using meticulously obtained timed 6-hour urine collections to quantify loop diuretic-induced cumulative sodium output. Poor natriuretic response was defined as a cumulative sodium output of <50 mmol, a threshold that would result in a positive sodium balance with twice-daily diuretic dosing. Following a median dose of 3 mg (2-4 mg) of intravenous bumetanide, 40% of the population had a poor natriuretic response. The correlation between measured and predicted sodium output was excellent (r=0.91; P<0.0001). Poor natriuretic response could be accurately predicted with the sodium prediction equation (area under the curve =0.95, 95% confidence interval 0.89-1.0; P<0.0001). Clinically recorded net fluid output had a weaker correlation (r=0.66; P<0.001) and lesser ability to predict poor natriuretic response (area under the curve =0.76, 95% confidence interval 0.63-0.89; P=0.002).
In patients being treated for acute decompensated heart failure, poor natriuretic response can be predicted soon after diuretic administration with excellent accuracy using a spot urine sample.
清除多余的钠和液体是急性失代偿性心力衰竭的主要治疗目标,通常通过液体平衡和体重减轻来监测。然而,这些参数常常不准确或未被收集,并且在利尿剂给药后需要数小时延迟才能获得。因此,需要可用于快速准确预测利尿剂反应的工具。
基于成熟的肾脏生理原理,推导了一个方程,用于使用在袢利尿剂给药后1或2小时采集的即时尿样预测净钠排出量。然后,使用精心收集的定时6小时尿样对50例急性失代偿性心力衰竭患者进行前瞻性验证,以量化袢利尿剂诱导的累积钠排出量。利尿钠反应不佳定义为累积钠排出量<50 mmol,该阈值会导致每日两次使用利尿剂时出现正钠平衡。静脉注射布美他尼的中位剂量为3 mg(2 - 4 mg)后,40%的患者利尿钠反应不佳。测量的和预测的钠排出量之间的相关性非常好(r = 0.91;P < 0.0001)。使用钠预测方程可以准确预测利尿钠反应不佳(曲线下面积 = 0.95,95%置信区间0.89 - 1.0;P < 0.0001)。临床记录的净液体排出量相关性较弱(r = 0.66;P < 0.001),预测利尿钠反应不佳的能力较低(曲线下面积 = 0.76,95%置信区间0.63 - 0.89;P = 0.002)。
在接受急性失代偿性心力衰竭治疗的患者中,使用即时尿样可在利尿剂给药后不久以极高的准确性预测利尿钠反应不佳。