The Value of Physiological Scoring Criteria in Predicting the In-Hospital Mortality of Acute Patients; a Systematic Review and Meta-Analysis.

Autor:	Toloui A; Physiology Research Center, Iran University of Medical Sciences, Tehran, Iran.; First and second authors have contributed equally., Madani Neishaboori A; Physiology Research Center, Iran University of Medical Sciences, Tehran, Iran.; First and second authors have contributed equally., Rafiei Alavi SN; Physiology Research Center, Iran University of Medical Sciences, Tehran, Iran., Gubari MIM; Community Medicine, College of Medicine, University of Sulaimani, Sulaimani, Iraq., Zareie Shab Khaneh A; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran., Karimi Ghahfarokhi M; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran., Amraei F; Emergency Medicine Research Team, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran., Behroozi Z; Department of Physiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran., Hosseini M; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran., Ahmadi S; Department of Emergency Medicine, Tabriz University of Medical Sciences, Tabriz, Iran., Yousefifard M; Physiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Jazyk:	angličtina
Zdroj:	Archives of academic emergency medicine [Arch Acad Emerg Med] 2021 Sep 09; Vol. 9 (1), pp. e60. Date of Electronic Publication: 2021 Sep 09 (Print Publication: 2021).
DOI:	10.22037/aaem.v9i1.1274
Abstrakt:	Introduction: There is no comprehensive meta-analysis on the value of physiological scoring systems in predicting the mortality of critically ill patients. Therefore, the present study intended to conduct a systematic review and meta-analysis to collect the available clinical evidence on the value of physiological scoring systems in predicting the in-hospital mortality of acute patients. Method: An extensive search was performed on Medline, Embase, Scopus, and Web of Science databases until the end of year 2020. Physiological models included Rapid Acute Physiology Score (RAPS), Rapid Emergency Medicine Score (REMS), modified REMS (mREMS), and Worthing Physiological Score (WPS). Finally, the data were summarized and the findings were presented as summary receiver operating characteristics (SROC), sensitivity, specificity and diagnostic odds ratio (DOR). Results: Data from 25 articles were included. The overall analysis showed that the area under the SROC curve of REMS, RAPS, mREMS, and WPS criteria were 0.83 (95% CI: 0.79-0.86), 0.89 (95% CI: 0.86-0.92), 0.64 (95% CI: 0.60-0.68) and 0.86 (95% CI: 0.83-0.89), respectively. DOR for REMS, RAPS, mREMS and WPS models were 11 (95% CI: 8-16), 13 (95% CI: 4-41), 2 (95% CI: 2-4) and 17 (95% CI: 5-59) respectively. When analyses were limited to trauma patients, the DOR of the REMS and RAPS models were 112 and 431, respectively. Due to the lack of sufficient studies, it was not possible to limit the analyses for mREMS and WPS. Conclusion: The findings of the present study showed that three models of RAPS, REMS and WPS have a high predictive value for in-hospital mortality. In addition, the value of these models in trauma patients is much higher than other patient settings. Competing Interests: The authors declared no conflict of interest.
Databáze:	MEDLINE
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