4.5 Review

Shock index in the emergency department as a predictor for mortality in COVID-19 patients: A systematic review and meta-analysis

Journal

HELIYON
Volume 9, Issue 8, Pages -

Publisher

CELL PRESS
DOI: 10.1016/j.heliyon.2023.e18553

Keywords

COVID-19; SARS-CoV-2; Shock index; Shock; ICU admission; Mortality

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This review aims to determine the role of shock index (SI) in the emergency department as a predictor for ICU admission and mortality in COVID-19 patients. The results showed that high SI was associated with increased risk of ICU admission and mortality. Therefore, SI can serve as a simple and useful triage instrument in the emergency department for predicting COVID-19 patient outcomes.
Background: The shock index (SI) ratio serves as a straightforward predictor to identify patients who are either at risk of or experiencing shock. COVID-19 patients with shock face increased mortality risk and reduced chances of recovery. This review aims to determine the role of SI in the emergency department (ED) to predict COVID-19 patient outcomes.Methods: The systematic search was conducted in PubMed, ProQuest, Scopus, and ScienceDirect on June 16, 2023. We included observational studies evaluating SI in ED and COVID-19 patient outcomes. Random-effect meta-analysis was done to generate odds ratios of SI as the predictor of intensive care unit (ICU) admission and mortality. The sensitivity and specificity of SI in pre-dicting these outcomes were also pooled, and a summary receiver operating characteristics (sROC) curve was generated.Results: A total of eight studies involving 4557 participants were included in the pooled analysis. High SI was found to be associated with an increased risk of ICU admission (OR 5.81 [95%CI: 1.18-28.58], p = 0.03). Regarding mortality, high SI was linked to higher rates of in-hospital (OR 7.45 [95%CI: 2.44-22.74], p = 0.0004), within 30-day (OR 7.34 [95%CI: 5.27-10.21], p < 0.00001), and overall (OR 7.52 [95%CI: 3.72-15.19], p < 0.00001) mortality. The sensitivity and specificity of SI for predicting ICU admission were 76.2% [95%CI: 54.6%-89.5%] and 64.3% [95%CI: 19.6%-93.0%], respectively. In terms of overall mortality, the sensitivity and specificity were 54.0% (95%CI: 34.3%-72.6%) and 85.9% (95%CI: 75.8%-92.3%), respectively, with only subtle changes for in-hospital and within 30-day mortality. Adjustment of SI cut-off to >0.7 yielded improved sensitivity (95%CI: 78.0% [59.7%-89.4%]) and specificity (95%CI: 76.8% [41.7%-93.9%]) in predicting overall mortality.Conclusion: SI in emergency room may be a simple and useful triage instrument for predicting ICU admission and mortality in COVID-19 patients. Future well-conducted studies are still needed to corroborate the findings of this study.

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