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Year : 2018  |  Volume : 8  |  Issue : 3  |  Page : 199-201

Simple mortality predictive models for improving critical care in resource-limited settings: An insight on the modified early warning score and rapid emergency medical score


1 Department of Internal Medicine and Specialties; Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
2 Department of Surgery and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
3 Ibal Sub-divisional Hospital, Oku, North West Region, Cameroon
4 Department of Internal Medicine, Sub-Divisional Hospital of Mayo Darle, Mayo Darle, Cameroon
5 Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon

Correspondence Address:
Dr. Joel Nouktadie Tochie
Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde
Cameroon
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijabmr.IJABMR_15_18

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Mortality rate among critically ill patients admitted to the Intensive Care Unit is high, particularly in low-income countries (LIC). Many scores have been developed to predict these fatal outcomes. In LIC, the applicability of scoring systems is precluded by the unavailability of resources to compile all the parameters of these scores. Herein, we highlight the advantages of two models: the Modified Early Warning Score (MEWS) and the Rapid Emergency Medical Score (REMS). The REMS and the MEWS have the advantage of being accurate, simple, inexpensive, and practical for LIC.


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