Plasma Endogenous Sulfur Dioxide: A Novel Biomarker to Predict Acute Kidney Injury in Critically Ill Patients

医学 急性肾损伤 生物标志物 内科学 接收机工作特性 脂质运载蛋白 置信区间 曲线下面积 重症监护医学 临床终点 前瞻性队列研究 胃肠病学 临床试验 生物化学 化学
作者
Yijia Jiang,Jingyi Wang,Xi Zheng,Jiantong Du
出处
期刊:International Journal of General Medicine [Dove Medical Press]
卷期号:Volume 14: 2127-2136 被引量:5
标识
DOI:10.2147/ijgm.s312058
摘要

Sulfur dioxide (SO2) is a novel gaseous signaling molecule that plays an important role in inflammation, which contributes the pathogenesis of acute kidney injury (AKI). The aim of this study was to explore the predictive value of plasma SO2 for AKI in high-risk patients.A prospective cohort of 167 patients who underwent major noncardiac surgery was enrolled in the study. Plasma SO2, urine neutrophil gelatinase-associated lipocalin (NGAL), tissue inhibitor of metalloproteinase-2 (TIMP-2), and insulin-like growth factor-binding protein 7 (IGFBP7) levels were detected immediately after the operation. The primary endpoint was new-onset AKI within 72 h after admission. The ability of biomarkers including SO2 and a clinical risk model to predict AKI was compared by receiver operator characteristic (ROC) curve analysis and decision curve analysis (DCA), additional contributions were evaluated by integrated discrimination improvement (IDI) and net reclassification improvement (NRI) analyses.A total of 61 (36.5%) patients developed AKI within 72 h of surgery. Compared to NGAL and [TIMP-2]·[IGFBP7], SO2 showed better predictive ability for new-onset AKI with an area under the ROC curve of 0.771 (95% confidence interval: 0.700-0.832, p<0.001). The improvement in predictive value by including SO2 in the clinical risk model was supported by NRI (0.28; P=0.04) and IDI (0.15; P<0.001) analyses. The net benefit of the combination of SO2 and clinical variables was the max in DCA.Plasma SO2 shows a useful value for predicting new-onset AKI, and improved AKI prediction based on clinical variables, which can guide the implementation of preventive measures for high-risk patients.
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