Duke-NUS Medical School, Singapore.
Division of Anaesthesiology and Perioperative Medicine, Singapore General Hospital.
Ann Acad Med Singap. 2023 Sep 27;52(9):448-456. doi: 10.47102/annals-acadmedsg.2023143.
Major abdominal emergency surgery (MAES) patients have a high risk of mortality and complications. The time-sensitive nature of MAES necessitates an easily calculable risk-scoring tool. Shock index (SI) is obtained by dividing heart rate (HR) by systolic blood pressure (SBP) and provides insight into a patient's haemodynamic status. We aimed to evaluate SI's usefulness in predicting postoperative mortality, acute kidney injury (AKI), requirements for intensive care unit (ICU) and high-dependency monitoring, and the ICU length of stay (LOS).
We retrospectively reviewed 212,089 MAES patients from January 2013 to December 2020. The cohort was propensity matched, and 3960 patients were included. The first HR and SBP recorded in the anaesthesia chart were used to calculate SI. Regression models were used to investigate the association between SI and outcomes. The relationship between SI and survival was explored with Kaplan-Meier curves.
There were significant associations between SI and mortality at 1 month (odds ratio [OR] 2.40 [1.67-3.39], P<0.001), 3 months (OR 2.13 [1.56-2.88], P<0.001), and at 2 years (OR 1.77 [1.38-2.25], P<0.001). Multivariate analysis revealed significant relationships between SI and mortality at 1 month (OR 3.51 [1.20-10.3], P=0.021) and at 3 months (OR 3.05 [1.07-8.54], P=0.034). Univariate and multivariate analysis also revealed significant relationships between SI and AKI (P<0.001), postoperative ICU admission (P<0.005) and ICU LOS (P<0.001). SI does not significantly affect 2-year mortality.
SI is useful in predicting postopera-tive mortality at 1 month, 3 months, AKI, postoperative ICU admission and ICU LOS.
腹部大手术(MAES)患者的死亡率和并发症发生率较高。MAES 的时间敏感性要求有一个易于计算的风险评分工具。休克指数(SI)通过将心率(HR)除以收缩压(SBP)得出,可深入了解患者的血流动力学状态。我们旨在评估 SI 在预测术后死亡率、急性肾损伤(AKI)、对重症监护病房(ICU)和高依赖监测的需求以及 ICU 住院时间(LOS)方面的作用。
我们回顾性分析了 2013 年 1 月至 2020 年 12 月的 212089 例 MAES 患者。对队列进行倾向评分匹配,纳入 3960 例患者。麻醉图表中记录的第一次 HR 和 SBP 用于计算 SI。回归模型用于研究 SI 与结果之间的关联。使用 Kaplan-Meier 曲线探讨 SI 与生存率之间的关系。
SI 与 1 个月(优势比 [OR] 2.40 [1.67-3.39],P<0.001)、3 个月(OR 2.13 [1.56-2.88],P<0.001)和 2 年(OR 1.77 [1.38-2.25],P<0.001)的死亡率显著相关。多变量分析显示,SI 与 1 个月(OR 3.51 [1.20-10.3],P=0.021)和 3 个月(OR 3.05 [1.07-8.54],P=0.034)的死亡率显著相关。单变量和多变量分析还显示 SI 与 AKI(P<0.001)、术后 ICU 入住(P<0.005)和 ICU LOS(P<0.001)显著相关。SI 对 2 年死亡率无显著影响。
SI 可用于预测术后 1 个月、3 个月、AKI、术后 ICU 入住和 ICU LOS 的死亡率。