Zhang Lihua, Liu Fen, Li Qi, Li Yang, Shao Qiang, Tao Wenqiang, Hu Ping, Qian Kejian, Lu Yuanhua
Department of Critical Care Medicine, the First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China.
Jiangxi Medical Center for Critical Public Health Events, the First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China. Corresponding author: Lu Yuanhua, Email:
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2023 Dec;35(12):1262-1267. doi: 10.3760/cma.j.cn121430-20230901-00725.
To investigate the association between the glucose-to-lymphocyte ratio (GLR) and prognosis of patients with sepsis-associated acute kidney injury (SA-AKI).
Based on the Medical Information Mart for Intensive Care-IV (MIMIC-IV), SA-AKI patients aged ≥ 18 years were selected. According to the tertiles of GLR, the patients were divided into GLR1 group (GLR ≤ 4.97×10 mmol), GLR2 group (4.97×10 mmol < GLR < 9.75×10 mmol) and GLR3 group (GLR ≥ 9.75×10 mmol). Patients with SA-AKI were divided into survival group and death group according to whether they survived 28 days after admission. The patient's gender, age, vital signs, laboratory test results, comorbidities, sequential organ failure assessment (SOFA), acute physiology score III (APS III) score and treatment measures were extracted from the database. Kaplan-Meier survival analysis was used to make the survival curves of patients with SA-AKI at 28 days, 90 days, 180 days and 1 year. Multivariate Logistic regression analysis model was used to explore the independent risk factors of 28-day mortality in patients with SA-AKI. Receiver operator characteristic curve (ROC curve) was used to analyze the predictive efficacy of GLR for the prognosis of patients with SA-AKI.
A total of 1 524 patients with SA-AKI were included, with a median age of 68.28 (58.96, 77.24) years old, including 612 females (40.16%) and 912 males (59.84%). There were 507 patients in the GLR1 group, 509 patients in the GLR2 group and 508 patients in the GLR3 group. There were 1 181 patients in the 28-day survival group and 343 patients in the death group. Grouping according to GLR tertiles showed that with the increase of GLR, the 28-day, 90-day, 180-day and 1-year mortality of SA-AKI patients gradually increased (28-day mortality were 11.64%, 22.00%, 33.86%, respectively; 90-day mortality were 15.98%, 26.72%, 40.55%, respectively; 180-day mortality were 17.16%, 28.29% and 41.73%, and the 1-year mortality were 17.95%, 29.27% and 42.72%, respectively, all P < 0.01). According to 28-day survival status, the GLR of the death group was significantly higher than that of the survival group [×10 mmol: 9.81 (5.75, 20.01) vs. 6.44 (3.64, 10.78), P < 0.01]. Multivariate Logistic regression analysis showed that GLR was an independent risk factor for 28-day mortality in patients with SA-AKI [when GLR was used as a continuous variable: odds ratio (OR) = 1.065, 95% confidence interval (95%CI) was 1.045-1.085, P < 0.001; when GLR was used as a categorical variable, compared with GLR1 group: GLR2 group OR = 1.782, 95%CI was 1.200-2.647, P = 0.004; GLR3 group OR = 2.727, 95%CI was 1.857-4.005, P < 0.001]. ROC curve analysis showed that the area under the ROC curve (AUC) of GLR for predicting 28-day mortality in patients with SA-AKI was 0.674, when the optimal cut-off value was 8.769×10 mmol, the sensitivity was 57.1% and the specificity was 67.1%. The predictive performance was improved when GLR was combined with APS III score and SOFA score, and the AUC was 0.806, the sensitivity was 74.6% and the specificity was 71.4%.
GLR is an independent risk factor of 28-day mortality in patients with SA-AKI, and high GLR is associated with poor prognosis in patients with SA-AKI.
探讨血糖与淋巴细胞比值(GLR)与脓毒症相关性急性肾损伤(SA-AKI)患者预后的关系。
基于重症监护医学信息集市-Ⅳ(MIMIC-IV),选取年龄≥18岁的SA-AKI患者。根据GLR的三分位数,将患者分为GLR1组(GLR≤4.97×10 mmol)、GLR2组(4.97×10 mmol<GLR<9.75×10 mmol)和GLR3组(GLR≥9.75×10 mmol)。SA-AKI患者根据入院后28天是否存活分为存活组和死亡组。从数据库中提取患者的性别、年龄、生命体征、实验室检查结果、合并症、序贯器官衰竭评估(SOFA)、急性生理评分Ⅲ(APSⅢ)评分及治疗措施。采用Kaplan-Meier生存分析绘制SA-AKI患者28天、90天、180天和1年的生存曲线。采用多因素Logistic回归分析模型探讨SA-AKI患者28天死亡率的独立危险因素。采用受试者工作特征曲线(ROC曲线)分析GLR对SA-AKI患者预后的预测效能。
共纳入1524例SA-AKI患者,中位年龄为68.28(58.96,77.24)岁,其中女性612例(40.16%),男性912例(59.84%)。GLR1组507例,GLR2组509例,GLR3组508例。28天存活组1181例,死亡组343例。按GLR三分位数分组显示,随着GLR升高,SA-AKI患者28天、90天、180天和1年死亡率逐渐升高(28天死亡率分别为11.64%、22.00%、33.86%;90天死亡率分别为15.98%、26.72%、40.55%;180天死亡率分别为17.16%、28.29%、41.73%;1年死亡率分别为17.95%、29.27%、42.72%,均P<0.01)。根据28天生存状态,死亡组的GLR显著高于存活组[×10 mmol:9.81(5.75,20.01)vs.6.44(3.64,10.78),P<0.01]。多因素Logistic回归分析显示,GLR是SA-AKI患者28天死亡率的独立危险因素[当GLR作为连续变量时:比值比(OR)=1.065,95%置信区间(95%CI)为1.045-1.085,P<0.001;当GLR作为分类变量时,与GLR1组比较:GLR2组OR=1.782,95%CI为1.200-2.647,P=0.004;GLR3组OR=2.727,95%CI为1.857-4.005,P<0.001]。ROC曲线分析显示,GLR预测SA-AKI患者28天死亡率的ROC曲线下面积(AUC)为0.674,最佳截断值为8.769×10 mmol时,灵敏度为57.1%,特异度为67.1%。GLR与APSⅢ评分和SOFA评分联合时预测性能提高,AUC为0.806,灵敏度为74.6%,特异度为71.4%。
GLR是SA-AKI患者28天死亡率的独立危险因素,高GLR与SA-AKI患者预后不良相关。