Observational analysis evaluates mortality prediction in polytrauma patients, suggesting rSIG enhances assessment accuracy.
Background: It is crucial to identify trauma patients who are at high risk of mortality to effectively manage their care. The Glasgow Coma Score (GCS) has been considered a very significant predictor on its own. The reverse shock index (rSI), which is calculated by dividing the systolic blood pressure by the heart rate, has been found to be a better choice for hospital triage compared to the shock index. By considering these criteria, the combination of (rSI) multiplied by GCS score (rSIG) can offer a more accurate prognosis of in-hospital mortality in polytrauma patients. Objective: To evaluate the (rSIG) discriminant ability in prediction of mortality in individuals with polytrauma Subjects and methods: The study was observational prospective follow-up study for 48 hours post-trauma conducted on 50 adult polytrauma patients who were recruited from the emergency department of El Galaa Military Medical Complex. Result: The mean age of the studied patients was 49.82 ± 16.55, there were 56% males and 44% females. Hypertension and diabetes were the main comorbidities among the patients (36% and 32%). The mortality rate occurred in 12% of patients. rSIG yielded a significant level in predicting mortality at cut off point <13.1 with sensitivity of 91.8% and specificity of 80.4%. Logistic regression analysis showed that for every unit increase in rSIG, the odds of mortality decreased by 27% (OR = 0.73, 95% CI: 0.60–0.88, p = 0.001). Conclusion: The study showed that (rSIG) is a dependable and straightforward tool for prediction of mortality in polytrauma.
No takes yet. Share an insight, caveat, or question.
Tolba et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: