1. Comparison of APACHE Scoring Systems in Predicting Mortality in ICU: a Systematic Review and Meta-Analysis
- Author
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Saeed Khorramnia, Zoubin Souri, Negin Bashari, Farshid Farahbakhsh, Samira Khorramnia, and Samira Koohestani
- Subjects
mortality ,apache ,intensive care unit ,Public aspects of medicine ,RA1-1270 - Abstract
Background & Objective: APACHE scoring systems are performed to predict the mortality rate of patients admitted to the hospital's intensive care unit (ICU). At present, APACHE II, III and VI are used in ICUs of Iranian hospitals. Due to the high mortality rate in the ICU, compared to other parts of the hospital and the use of APACHE systems in predicting the mortality rate, determining the best predictor is very important. Therefore, this study was performed to determine the best system for predicting the mortality of patients admitted to the ICU. Materials & Methods: An electronic search in SID, Magiran, PubMed, Scopus, ScienceDirect and Google Scholar databases was performed until November 2019 using keywords. The list of key study sources was also reviewed to find studies that may not have been found through electronic search. The quality of studies was assessed with STROBE checklist. Data analysis was performed using CMA software version 2. Results: 21 studies involving 3576 patients were meta-analyzed. 14 studies used the APACHE II, three studied used Apache III, and four studied used Apache IV. The meta-analyses found that the final estimate of the accuracy of the APACHE II in predicting mortality was 0.052 (CI = 0.030; 0.091), APACHE III 0.09 (CI = 0.029; 0.245), and APACHE IV 0.088 (C.I = 0.031; 0.228). Conclusion: The findings of this study showed that the APACHE III had more accuracy in predicting the mortality rate of patients admitted to the ICU compared to APACHE II and IV. The ward has special care. It is recommended that this scoring system be used in hospitals to prioritize patients admitted to the ICU.
- Published
- 2020