TY - JOUR
T1 - 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
AU - Temgoua, Mazou N.
AU - Tochie, Joel Noutakdie
AU - Ndip, Valirie
AU - Tianyi Tianyi, Frank
AU - Tankeu, Ronni
AU - Danwang, Célestin
PY - 2018/6/1
Y1 - 2018/6/1
N2 - 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
AB - 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
U2 - 10.4103/ijabmr.IJABMR_15_18
DO - 10.4103/ijabmr.IJABMR_15_18
M3 - Article
SN - 2229-516X
VL - 8
SP - 199
EP - 201
JO - International Journal of Applied and Basic Medical Research
JF - International Journal of Applied and Basic Medical Research
IS - 3
ER -