Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut, USA; Department of Heart Failure, Hospital de Cardiologia, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
J Am Coll Cardiol. 2021 Feb 16;77(6):695-708. doi: 10.1016/j.jacc.2020.12.022.
Most acute decompensated heart failure admissions are driven by congestion. However, residual congestion is common and often driven by the lack of reliable tools to titrate diuretic therapy. The authors previously developed a natriuretic response prediction equation (NRPE), which predicts sodium output using a spot urine sample collected 2 h after loop diuretic administration.
The purpose of this study was to validate the NRPE and describe proof-of-concept that the NRPE can be used to guide diuretic therapy.
Two cohorts were assembled: 1) the Diagnosing and Targeting Mechanisms of Diuretic Resistance (MDR) cohort was used to validate the NRPE to predict 6-h sodium output after a loop diuretic, which was defined as poor (<50 mmol), suboptimal (<100 mmol), or excellent (>150 mmol); and 2) the Yale Diuretic Pathway (YDP) cohort, which used the NRPE to guide loop diuretic titration via a nurse-driven automated protocol.
Evaluating 638 loop diuretic administrations, the NRPE showed excellent discrimination with areas under the curve ≥0.90 to predict poor, suboptimal, and excellent natriuretic response, and outperformed clinically obtained net fluid loss (p < 0.05 for all cutpoints). In the YDP cohort (n = 161) using the NRPE to direct therapy mean daily urine output (1.8 ± 0.9 l vs. 3.0 ± 0.8 l), net fluid output (-1.1 ± 0.9 l vs. -2.1 ± 0.9 l), and weight loss (-0.3 ± 0.3 kg vs. -2.5 ± 0.3 kg) improved substantially following initiation of the YDP (p < 0.001 for all pre-post comparisons).
Natriuretic response can be rapidly and accurately predicted by the NRPE, and this information can be used to guide diuretic therapy during acute decompensated heart failure. Additional study of diuresis guided by the NRPE is warranted.
大多数急性失代偿性心力衰竭的入院是由充血引起的。然而,残留的充血很常见,而且往往是由于缺乏可靠的工具来滴定利尿剂治疗。作者之前开发了一种利钠肽反应预测方程(NRPE),该方程使用在袢利尿剂给药后 2 小时采集的单次尿液样本预测钠输出。
本研究的目的是验证 NRPE,并描述一个概念验证,即 NRPE 可用于指导利尿剂治疗。
组建了两个队列:1)诊断和靶向利尿剂抵抗机制(MDR)队列用于验证 NRPE 预测袢利尿剂后 6 小时钠输出的能力,定义为差(<50mmol)、次优(<100mmol)或优秀(>150mmol);2)耶鲁利尿剂通路(YDP)队列,该队列使用 NRPE 通过护士驱动的自动化方案指导袢利尿剂滴定。
评估了 638 次袢利尿剂给药,NRPE 显示出出色的区分能力,曲线下面积≥0.90,可预测不良、次优和优秀的利钠反应,并且优于临床获得的净液丢失(所有切点 p<0.05)。在使用 NRPE 指导治疗的 YDP 队列(n=161)中,平均每日尿量(1.8±0.9 l 比 3.0±0.8 l)、净液输出(-1.1±0.9 l 比-2.1±0.9 l)和体重减轻(-0.3±0.3 kg 比-2.5±0.3 kg)在 YDP 开始后显著改善(所有前后比较 p<0.001)。
NRPE 可以快速准确地预测利钠反应,并且可以利用该信息指导急性失代偿性心力衰竭期间的利尿剂治疗。需要进一步研究 NRPE 指导的利尿作用。