AI Article Synopsis

  • - The study investigated the Shock Index (SI), calculated from a patient's heart rate and systolic blood pressure, to assess its effectiveness in predicting complications after major abdominal emergency surgery (MAES), including mortality and acute kidney injury (AKI).
  • - Researchers reviewed data from over 212,000 MAES patients, ultimately analyzing 3,960 cases, and found significant correlations between higher SI values and increased risk of mortality at 1 month, 3 months, and other complications like AKI and ICU admissions.
  • - The conclusion indicates that SI is a valuable tool for predicting short-term postoperative mortality and complications, although it does not significantly influence mortality outcomes beyond 2 years.

Article Abstract

Introduction: 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).

Method: 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.

Results: 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.

Conclusion: SI is useful in predicting postopera-tive mortality at 1 month, 3 months, AKI, postoperative ICU admission and ICU LOS.

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Source
http://dx.doi.org/10.47102/annals-acadmedsg.2023143DOI Listing

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