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目的:探讨脓毒症患者血管内皮损伤、肾小管损伤、炎症、凝血等实验室检查指标在脓毒症相关急性肾损伤中的早期诊断价值。方法:对脓毒症患者进行单中心研究。回顾性研究：入组2017年2月至2018年3月武汉大学人民医院重症监护室119例脓毒症患者，将患者分为AKI组和非AKI组，分析入院时可溶性血栓调节蛋白（sTM）、组织性纤溶酶原激活剂及其抑制物（t-PAI-C）、纤维蛋白原降解产物（FDP）、抗凝血酶Ⅲ（AT-Ⅲ）、凝血酶-抗凝血酶复合物（TAT）、纤溶酶-α2纤溶酶降解产物（PIC）、纤维蛋白原（FIB）、D-二聚体（D-Dimer）、凝血酶原时间（PT）、PT国际标准化比值（PT-INR）、降钙素原质量浓度（PCT）、白细胞数（WBC）、中性粒细胞数（Neu#）、血小板计数（PLT），采用受试者工作特征曲线（ROC曲线）分析上述指标对脓毒症相关急性肾损伤预测价值，采用Logistic回归分析法分析脓毒症相关急性肾损伤的危险因素。前瞻性研究：入组2018年4月至2018年9月武汉大学人民医院重症监护室46例脓毒症患者，入院时检测sTM、t-PAI-C、FDP、AT-Ⅲ、TAT、PIC、FIB、D-Dimer、PT-INR、PCT、血清胱抑素C（Cys C）、尿微量白蛋白与肌酐比值（ACR）、尿中性粒细胞明胶酶相关脂质运载蛋白（uNGAL）、N-乙酰-β-D-氨基葡萄糖苷酶（uNAL）、视黄醇结合蛋白（uRBP），采用受试者工作特征曲线（ROC曲线）分析上述指标对脓毒症相关急性肾损伤预测价值，采用Logistic回归分析法分析脓毒症相关急性肾损伤的危险因素。结果:①入组119例脓毒症患者，脓毒症相关急性肾损伤组（AKI组）与脓毒症非急性肾损伤组（非AKI组）比较，PCT、PT、PT-INR、sTM、D-Dimer差异有统计学意义；PCT、PT、PT-INR、sTM、D-Dimer对脓毒症相关急性肾损伤有较好的预测作用，其中sTM有较高的诊断准确度（AUC=0.857，95%CI：0.790，0.924）和灵敏度（0.644）、特异度（0.918）；sTM高表达、慢性肾衰竭病史是脓毒症相关急性肾损伤的危险因素；②入组46例脓毒症患者，AKI组与非AKI组比较，PCT、sTM、Cys C、uNGAL差异有统计学意义；PCT、sTM、Cys C、uNGAL对脓毒症急性肾损伤具有良好的预测作用，其中sTM灵敏度（>0.999）最高，uNGAL特异度（0.800）最高；sTM高表达是脓毒症相关急性肾损伤的危险因素。结论:可溶性血栓调节蛋白、尿中性粒细胞明胶相关脂质运载蛋白分别代表内皮细胞受损、肾小管受损，可溶性血栓调节蛋白高表达是脓毒症急性肾损伤的独立危险因素。“,”Objective:To compare the early diagnostic value of the indicators of endothelial injury, renal injury, inflammation and coagulation in patients with sepsis-induced acute kidney injury (AKI).Methods:A retrospective study was performed on 119 patients with sepsis from February 2017 to March 2018. Lab tests were performed on patients at admission, which included:ing soluble thrombomodulin (sTM), tissue plasminogen activators and inhibitors (t-PAI-C), antithrombin III (AT-III), thrombin-antithrombin (TAT) complex, plasmin-alpha 2, plasmin inhibitor complex (PIC), fibrin degradation product (FDP), fibrinogen (FIB), D-Dimer, prothrombin time (PT), prothrombin time international normalized ratio (PT-INR), procalcitoni (PCT), white blood cell (WBC), neutrophil (Neu), and platelet count (PLT). The receiver-operating characteristic curve was used to analyze the predictive value of the above indicators, and logistic regression analysis was used to analyze the risk factors of sepsis-induced AKI. A prospective study was conducted from April 2018 to September 2018 and 46 patients were enrolled. The lab tests results retrieved including sTM, t-PAI-C, FDP, AT-III, TAT, PIC, FIB, D-Dimer, PT, PCT, serum cystatin C (Cys C), urine albumin (microalbumin) and albumin to creatinine ratio (ACR), urinary neutrophil gelatinase-associated lipocalin (uNGAL), urinary N-acetyl-beta-glucosaminidase (uNAG), and urinary retinol-binding protein (uRBP). As same with the previous group, the receiver-operating characteristic curve was used to analyze the diagnostic value of the above indicators, and logistic regression Was used to analyze the risk factors of sepsis-induced AKI.Results:(1) In the retrospective study: sTM, D-Dimer, PCT, PT, and PT-INR were statistically different. sTM, D-Dimer, PCT, PT, and PT-INR had a good diagnostic value for septis-induced AKI, among which, sTM had a highest diagnostic value (AUC: 0.857; 95% n CI: 0.790, 0.924), better sensitivity (64.4%) and specificity (91.8%). The high expression of sTM and history of chronic kidney disease were independent risk factors for septis-induced AKI.(2) In the prospective study: PCT, sTM , Cys C, and uNGAL were statistically different. PCT, sTM, Cys C, uNGAL showed good predictive features for septis-induced AKI. sTM had the highest sensitivity (>0.999) while uNGAL had the highest specificity (0.800). The high expression of sTM was an independent risk factor for septis-induced AKI.n Conclusions:sTM and uNGAL represent endothelial injury and renal tubular injury respectively. sTM is an independent risk factor of sepsis-induced AKI.