Zheng Yan-Jun, Zhu Xiao-Juan, Chen Yu-Wei, Zheng Yu-Zhen, Zhou Yi, Chen Wen-Jie, Zheng Xiang-Tao, Zhong Ming, Yang Zhi-Tao, Mao En-Qiang, Chen Er-Zhen, Chen Ying
Department of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ann Transl Med. 2022 Jul;10(14):781. doi: 10.21037/atm-21-2900.
Existing scoring systems have limitations in predicting the in-hospital mortality of adult sepsis patients. We aimed to develop and validate a novel risk score for predicting the in-hospital mortality of adult sepsis patients.
The clinical data of 1,335 adult sepsis inpatients were retrospectively analyzed. Enrolled patients were randomly divided into a modeling group and a validation group at a 3:2 ratio. The modeling group (n=801) was used to develop the risk score by univariate and multivariate logistic regression analyses. The score's performance was validated in the validation group (n=534). We classified patients into four risk levels according to the novel risk score.
Age, central vein catheterization, mechanical ventilation, vasopressin, Charlson comorbidity index (CCI), respiratory rate (RR), heart rate (HR), Glasgow coma scale (GCS) score, platelet (PLT), hematocrit (HCT), aspartate aminotransferase (AST), and activated partial thrombin time (APTT) were independent risk factors for in-hospital death in adult sepsis patients. Continuous variables were converted into classified variables to develop the risk score, with a total score of 39 points. Adult sepsis patients with low, lower medium, higher medium, and high risk levels had in-hospital mortality rates of 9.8%, 24.7%, 55.8%, and 83.5%, respectively.
Compared with the Acute Physiology and Chronic Health Evaluation II scoring system (APACHE II) and the Modified Early Warning Score (MEWS), the novel risk score showed good predictive performance for in-hospital mortality in adult sepsis patients.
现有评分系统在预测成年脓毒症患者的院内死亡率方面存在局限性。我们旨在开发并验证一种用于预测成年脓毒症患者院内死亡率的新型风险评分。
回顾性分析1335例成年脓毒症住院患者的临床资料。纳入的患者按3:2的比例随机分为建模组和验证组。建模组(n = 801)通过单因素和多因素逻辑回归分析来开发风险评分。在验证组(n = 534)中验证该评分的性能。我们根据新型风险评分将患者分为四个风险等级。
年龄、中心静脉置管、机械通气、血管加压素、Charlson合并症指数(CCI)、呼吸频率(RR)、心率(HR)、格拉斯哥昏迷量表(GCS)评分、血小板(PLT)、血细胞比容(HCT)、天冬氨酸转氨酶(AST)和活化部分凝血活酶时间(APTT)是成年脓毒症患者院内死亡的独立危险因素。将连续变量转换为分类变量以开发风险评分,总分39分。低、中低、中高和高风险等级的成年脓毒症患者的院内死亡率分别为9.8%、24.7%、55.8%和83.5%。
与急性生理与慢性健康状况评价II评分系统(APACHE II)和改良早期预警评分(MEWS)相比,新型风险评分在预测成年脓毒症患者院内死亡率方面表现出良好的性能。