Open AccessSimple mortality predictive models for improving critical care in resource-limited settings: An insight on the modified early warning score and rapid emergency medical score
Author(s) -
Mazou Ngou Temgoua,
Joel Noutakdie Tochie,
Valirie Ndip Agbor,
Frank-Leonel Tianyi,
Ronni Tankeu,
Célestin Danwang
Publication year - 2018
Publication title -
international journal of applied and basic medical research/international journal of applied and basic medical research
Language(s) - English
Resource type - Journals
eISSN - 2248-9606
pISSN - 2229-516X
DOI - 10.4103/ijabmr.ijabmr_15_18
Subject(s) - mews , early warning score , unavailability , warning system , intensive care unit , medicine , medical emergency , simple (philosophy) , mortality rate , emergency medicine , intensive care medicine , computer science , engineering , reliability engineering , surgery , telecommunications , philosophy , epistemology
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.