Shock index as a prognosticator for emergent surgical intervention and mortality in trauma patients in Johannesburg: A retrospective cohort study
Journal – Annals of Medicine and Surgery
Article type – Journal research article – Clinical research
Publication date – Aug – 2021
Authors – Richard Crawford, Deirdre Kruger, Maeyane Moengab
Keywords – Injury Severity Score, mortality, prognostic, shock index, Surgical intervention, trauma
Open access – Yes
Speciality – Anaesthesia, Critical care, Emergency surgery, Trauma surgery
World region Southern Africa
Country: South Africa
Language – English
Submitted to the One Surgery Index on August 24, 2021 at 1:39 am
Trauma is the leading cause of morbidity and mortality worldwide with exsanguination being the primary preventable cause through early surgical intervention. We assessed two popular trauma scoring systems, injury severity scores (ISS) and shock index (SI) to determine the optimal cut off values that may predict the need for emergent surgical intervention (ESI) and in-hospital mortality.
A retrospective analysis of patient records from a tertiary hospital’s trauma unit for the year 2019 was done. Descriptive statistics, univariate and multivariate logistic regression analyses were performed. Receiver operator characteristic (ROC) curve analysis was conducted and area under the curve (AUC) reported for predicting the need for ESI in all study participants, as well as in patients with penetrating injuries alone, based on continuous variables of ISS, SI or a combination of ISS and SI. The Youdin Index was applied to determine the optimal ISS and SI cut off values.
A total of 1964 patients’ records were included, 89.0% were male and the median age (IQR) was 30 (26–37) years. Penetrating injuries accounted for 65.9% of all injuries. ISS and SI were higher in the ESI group with median (IQR) 11 (10–17) and 0.74 (0.60–0.95), respectively. The overall mortality rate was 4.5%. The optimal cut-off values for ESI and mortality by ISS (AUC) were 9 (0.74) and 12 (0.86) (p = 0.0001), with optimal values for SI (AUC) being 0.72 (0.60), and 0.91 (0.68) (p = 0.0001), respectively.
OSI Number – 21216