Predictive Value of Infection Related Critical Illness Scores on the Risk of Death in Infected Patients: A Systematic Review and Meta-Analysis
Abstract
Background: This article aimed to compare the value of infection related critical illness scores in predicting the risk of death in infected patients, and evaluate the predictive accuracy of three scoring indicators: SOFA score, APACHE II score, and NEWS score.
Methods: Through the established retrieval strategy, the relevant literature from January 2013 to December 2023 were searched on platforms such as CNKI, Wanfang, PubMed, Embase, and Cochrane Library, eight relevant literature were included for meta-analysis. Literature screening and data extraction were conducted according to predetermined standards, using a fixed effects model for data analysis.
Results: Among the 8 included literature (References (5-12)), the ratio of mortality to survival and 95% confidence interval for SOFA scores were 1.33 and (0.98, 1.75), respectively; The APACHE II score is 2.24 and (1.58, 2.97); The NEWS score is 1.64 and (1.45, 1.85). All three scoring indicators had significant value in predicting the risk of death in infected patients. In addition, comparing the AUC of the three scoring indicators, the SOFA score had the highest AUC, followed by the APACHE II score, and showed significant differences compared to the NEWS score, with P<0.001 and P<0.05 respectively.
Conclusion: The SOFA score has higher accuracy and predictive value in predicting the condition and risk of death of infected patients. However, further attention needs to be paid to the selection of scoring methods to comprehensively consider the clinical situation and research objectives. The results of this study are helpful in guiding the evaluation and prediction of infected patients in clinical practice, and providing a basis for optimizing treatment strategies.
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| Files | ||
| Issue | Vol 54 No 6 (2025) | |
| Section | Review Article(s) | |
| Keywords | ||
| Infection Death Risk prediction Critical illness score Meta-analysis | ||
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