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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

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 compi...

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Detalles Bibliográficos
Autores principales: Temgoua, Mazou Ngou, Tochie, Joel Nouktadie, Agbor, Valirie Ndip, Tianyi, Frank-Leonel, Tankeu, Ronni, Danwang, Celestin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6082004/
https://www.ncbi.nlm.nih.gov/pubmed/30123756
http://dx.doi.org/10.4103/ijabmr.IJABMR_15_18
Descripción
Sumario: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.