Emami Amir, Javanmardi Fatemeh, Rajaee Mahrokh, Pirbonyeh Neda, Keshavarzi Abdolkhalegh, Fotouhi Maryam, Hosseini Seyed Mohammad
Burn and Wound Healing Research Center, Microbiology Department, Shiraz University of Medical Sciences, Iran.
Burn and Wound Healing Research Center, Surgical Department, Shiraz University of Medical Sciences, Iran.
J Burn Care Res. 2019 Aug 14;40(5):601-605. doi: 10.1093/jbcr/irz065.
Acute kidney injury (AKI) is an independent and complicated risk factor in burn patients, which cause high mortality and morbidity rate. Diagnosing the biomarkers and early detection of AKI may be helpful in treatment and control the stability of these patients. In this study, we aim to identify predictive biomarkers in order to prevent AKI incidence and sudden death in burn victims. In this retrospective study, 258 burn patients who were admitted to burn center in Shiraz, Iran were evaluated during January 2016 to February 2018. Demographic characteristics, biochemical biomarkers, length of hospital stay, and mortality information were obtained from patient registries program and evaluated the biomarkers in identifying AKI patients into early and late groups. Receiver operating characteristic curve, area under the curve (AUC), univariate, and multivariate logistic regression analysis were used to diagnose the performance of biomarkers in order to predict the AKI. Of 258 patients, 40 (15.50%) were detected as AKI, with estimated mortality rate of 76.9%. Among all the variables, total BSA (P = .01), blood urea nitrogen (BUN; P = .001), potassium (P = .02), and mortality (P = .03) were significantly different in AKI developing. Moreover, AUC of serum creatinin, albumin, and BUN as predictive biomarkers were 0.73, 0.44, and 0.707, respectively. Among all variables, BUN marker was independently associated with AKI developing. Following burn shock, AKI is a common complication that causes increasing mortality and morbidity. Early diagnosis and identifying the biomarkers is preventing sudden death in burn patients and develop appropriate treatments in these victims.
急性肾损伤（AKI）是烧伤患者中一个独立且复杂的危险因素，会导致高死亡率和发病率。诊断生物标志物并早期发现AKI可能有助于治疗并控制这些患者的病情稳定性。在本研究中，我们旨在识别预测性生物标志物，以预防烧伤患者发生AKI及猝死。在这项回顾性研究中，对2016年1月至2018年2月期间入住伊朗设拉子烧伤中心的258例烧伤患者进行了评估。从患者登记程序中获取人口统计学特征、生化生物标志物、住院时间和死亡率信息，并评估这些生物标志物在将AKI患者分为早期和晚期组中的作用。采用受试者工作特征曲线、曲线下面积（AUC）、单因素和多因素逻辑回归分析来诊断生物标志物的性能，以预测AKI。在258例患者中，40例（15.50%）被检测为AKI，估计死亡率为76.9%。在所有变量中，总体表面积（P = 0.01）、血尿素氮（BUN；P = 0.001）、钾（P = 0.02）和死亡率（P = 0.03）在发生AKI时存在显著差异。此外，血清肌酐、白蛋白和BUN作为预测性生物标志物的AUC分别为0.73、0.44和0.707。在所有变量中，BUN标志物与AKI的发生独立相关。烧伤休克后，AKI是一种常见并发症，会导致死亡率和发病率增加。早期诊断并识别生物标志物可预防烧伤患者猝死，并为这些患者制定适当的治疗方案。
