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VOLUME 22 , ISSUE 8 ( 2018 ) > List of Articles

RESEARCH ARTICLE

Development a reverse triage system based on modified sequential organ failure assessment for increasing the critical care surge capacity

Hossein Ghasemian-Nik, Raheb Ghorbani

Keywords : Modified sequential organ failure, reverse triage, surge capacity

Citation Information : Ghasemian-Nik H, Ghorbani R. Development a reverse triage system based on modified sequential organ failure assessment for increasing the critical care surge capacity. Indian J Crit Care Med 2018; 22 (8):575-579.

DOI: 10.4103/ijccm.IJCCM_47_18

License: CC BY-ND 3.0

Published Online: 01-09-2018

Copyright Statement:  Copyright © 2018; The Author(s).


Abstract

Context: The capacity completeness are one of the serious problems in the bed's managements of the critical care units in a crisis and disaster situation. Reverse triage can help to hospital surge capacity in this situations. Aims: The aim of this study was to develop a reverse triage system based on Modified Sequential Organ Failure Assessment (MSOFA) for increasing critical care surge capacity. Settings and Design: This study was a prospective design that performed on the medical patients in critical care unit. Subjects and Methods: The MSOFA score for each patient was calculated in admission time and be continued until discharging time from critical care unit. Statistical Analysis Used: The Cox regression method was used to determine the relative risk values. At last, the patients were divided into three levels for reverse triage. Results: Four hundred and twenty patients were participated in this study. The mean of patients' MSOFA scores in the 1st day of admission in Critical Care was 5.40 ± 3.8. The relative risk of internal patients discharge from critical care was (8.2%). Death relative risks were <25%, higher than 70% and between 25.1% and 69.9% for three color level of green, black, and red, respectively. Conclusion: The MSOFA scores can contribute to the design a leveling system for discharging patients from critical care unit. Based on this system, the members of the caring team can predict the final health status of the patient.


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