Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.
Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Am J Nephrol. 2019;50(1):19-28. doi: 10.1159/000500231. Epub 2019 Jun 14.
The Dublin Acute Biomarker Group Evaluation (DAMAGE) Study is a prospective 2-center observational study investigating the utility of urinary biomarker combinations for the diagnostic and prognostic assessment of acute kidney injury (AKI) in a heterogeneous adult intensive care unit (ICU) population. The objective of this study is to evaluate whether serial urinary biomarker measurements, in combination with a simple clinical model, could improve biomarker performance in the diagnostic prediction of severe AKI and clinical outcomes such as death and need for renal replacement therapy (RRT).
Urine was collected daily from patients admitted to the ICU, for a total of 7 post-admission days. Urine biomarker concentrations (neutrophil gelatinase-associated lipocalin [NGAL], α-glutathione S-transferase [GST], π-GST, kidney injury molecule-1 [KIM-1], liver-type fatty acid-binding protein [L-FABP], Cystatin C, creatinine, and albumin) were measured. Urine biomarkers were combined with a clinical prediction of AKI model, to determine ability to predict AKI (any stage, within 2 days or 7 days of ICU admission), or a -30-day composite clinical outcome (RRT - or death).
A total of 257 (38%) patients developed AKI within 7 days of ICU admission. Of those who developed AKI, 106 (41%) patients met stage 3 AKI within 7 days of ICU admission and 208 patients of the entire study cohort (31%) met the composite clinical endpoint of in-hospital mortality or RRT within 30 days of ICU admission. The addition of urinary NGAL/albumin to the clinical model modestly improved the prediction of AKI, in particular severe stage 3 AKI (area under the curve [AUC] of 0.9 from 0.87, p = 0.369) and the prediction of 30-day RRT or death (AUC 0.83 from 0.79, p = 0.139).
A clinical model incorporating severity of illness, patient demographics, and chronic illness with currently available clinical biomarkers of renal function was strongly predictive of development of AKI and associated clinical outcomes in a heterogeneous adult ICU population. The addition of urinary NGAL/albumin to this simple clinical model improved the prediction of severe AKI, need for RRT and death, but not at a statistically or clinically significant level, when compared to the clinical model alone.
都柏林急性生物标志物组评估(DAMAGE)研究是一项前瞻性的 2 中心观察性研究,旨在调查尿生物标志物组合在诊断和评估急性肾损伤(AKI)中的效用。这项研究的目的是评估连续尿生物标志物测量与简单的临床模型相结合是否可以改善生物标志物在严重 AKI 诊断预测和临床结局(如死亡和需要肾脏替代治疗(RRT))方面的性能。
从入住 ICU 的患者中每天采集尿液,共采集 7 天。测量尿生物标志物浓度(中性粒细胞明胶酶相关脂质运载蛋白[NGAL]、α-谷胱甘肽 S-转移酶[GST]、π-GST、肾损伤分子 1[KIM-1]、肝型脂肪酸结合蛋白[L-FABP]、胱抑素 C、肌酐和白蛋白)。将尿生物标志物与 AKI 预测的临床模型相结合,以确定其预测 AKI(任何阶段,入住 ICU 后 2 天或 7 天内)或 30 天复合临床结局(RRT 或死亡)的能力。
共有 257 名(38%)患者在入住 ICU 后 7 天内发生 AKI。在发生 AKI 的患者中,106 名(41%)患者在入住 ICU 后 7 天内达到 AKI 第 3 期,208 名患者(31%)在整个研究队列中达到住院死亡率或 ICU 后 30 天内 RRT 的复合临床终点。将尿 NGAL/白蛋白添加到临床模型中,可适度提高 AKI 的预测能力,尤其是严重第 3 期 AKI(曲线下面积[AUC]从 0.87 提高到 0.9,p=0.369)和预测 30 天内 RRT 或死亡(AUC 从 0.79 提高到 0.83,p=0.139)。
纳入疾病严重程度、患者人口统计学特征和慢性疾病以及目前肾功能的临床生物标志物的临床模型强烈预测了异质性成年 ICU 人群 AKI 的发生及其相关临床结局。与单独的临床模型相比,将尿 NGAL/白蛋白添加到该简单的临床模型中可以提高对严重 AKI、需要 RRT 和死亡的预测能力,但没有达到统计学或临床显著水平。