Cargando…

Patterns and predictors of early mortality among emergency department patients in Addis Ababa, Ethiopia

BACKGROUND: Ethiopian emergency department (ED) patients have a considerable burden of illness and injury for which all-cause mortality rates have not previously been published. This study sought to characterize the burden of and to identify predictors for early all-cause mortality among patients pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Hunchak, Cheryl, Teklu, Sisay, Meshkat, Nazanin, Meaney, Christopher, Puchalski Ritchie, Lisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619982/
https://www.ncbi.nlm.nih.gov/pubmed/26499999
http://dx.doi.org/10.1186/s13104-015-1592-z
_version_ 1782397227220598784
author Hunchak, Cheryl
Teklu, Sisay
Meshkat, Nazanin
Meaney, Christopher
Puchalski Ritchie, Lisa
author_facet Hunchak, Cheryl
Teklu, Sisay
Meshkat, Nazanin
Meaney, Christopher
Puchalski Ritchie, Lisa
author_sort Hunchak, Cheryl
collection PubMed
description BACKGROUND: Ethiopian emergency department (ED) patients have a considerable burden of illness and injury for which all-cause mortality rates have not previously been published. This study sought to characterize the burden of and to identify predictors for early all-cause mortality among patients presenting to the Tikur Anbessa Specialized Hospital ED (TASH-ED) in Ethiopia. METHODS: Data was prospectively collected from the records of all patients who died within 72 h of ED presentation. Pearson’s Chi square and Fisher’s exact tests were used to investigate associations between two outcome variables: (a) time to death and (b) immediate cause of death in relation to specific demographic and clinical factors. Time from ED presentation to death was dichotomized as ‘very early’ mortality within ≤6 h and death >6–72 h and logistic regression was used to assess the adjusted impact of these demographic and clinical variables on the probability of dying within 6 h of ED presentation. RESULTS: Between October 2012 and May 2013, 9956 patients visited the ED and 220 patients died within 72 h of admission. After excluding patients dead on arrival (n = 34), the average age of death was 43.1 years and the overall mortality rate was 1.9 %. Head injury (21.5 %) and sepsis (18.8 %) were the most common causes of death. Relative to medical patients, trauma patients were more likely to be male (p < 0.01), less likely to have had prior recent ED visits (p < 0.01) and more likely to be triaged as higher acuity (p = 0.04). The sole statistically significant predictor of death within 6 h from our multivariable logistic regression model was symptom duration less than 4 h (4–48 h vs. <4 h: OR = 0.20, 95 % CI 0.07, 0.53, p < 0.01; >48 h vs. <4 h: OR = 0.27, 95 % CI 0.09, 0.81, p = 0.02). CONCLUSIONS: The mortality burden of trauma and sepsis in the TASH-ED is substantial, and mortality patterns differ between these groups. As emergency medicine develops as a specialty in the Ethiopian health system, the potential impact of context-specific clinical care protocol development, trauma prevention advocacy and ED care re-organization initiatives to reduce mortality among these young, previously well patients warrants exploration.
format Online
Article
Text
id pubmed-4619982
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-46199822015-10-26 Patterns and predictors of early mortality among emergency department patients in Addis Ababa, Ethiopia Hunchak, Cheryl Teklu, Sisay Meshkat, Nazanin Meaney, Christopher Puchalski Ritchie, Lisa BMC Res Notes Research Article BACKGROUND: Ethiopian emergency department (ED) patients have a considerable burden of illness and injury for which all-cause mortality rates have not previously been published. This study sought to characterize the burden of and to identify predictors for early all-cause mortality among patients presenting to the Tikur Anbessa Specialized Hospital ED (TASH-ED) in Ethiopia. METHODS: Data was prospectively collected from the records of all patients who died within 72 h of ED presentation. Pearson’s Chi square and Fisher’s exact tests were used to investigate associations between two outcome variables: (a) time to death and (b) immediate cause of death in relation to specific demographic and clinical factors. Time from ED presentation to death was dichotomized as ‘very early’ mortality within ≤6 h and death >6–72 h and logistic regression was used to assess the adjusted impact of these demographic and clinical variables on the probability of dying within 6 h of ED presentation. RESULTS: Between October 2012 and May 2013, 9956 patients visited the ED and 220 patients died within 72 h of admission. After excluding patients dead on arrival (n = 34), the average age of death was 43.1 years and the overall mortality rate was 1.9 %. Head injury (21.5 %) and sepsis (18.8 %) were the most common causes of death. Relative to medical patients, trauma patients were more likely to be male (p < 0.01), less likely to have had prior recent ED visits (p < 0.01) and more likely to be triaged as higher acuity (p = 0.04). The sole statistically significant predictor of death within 6 h from our multivariable logistic regression model was symptom duration less than 4 h (4–48 h vs. <4 h: OR = 0.20, 95 % CI 0.07, 0.53, p < 0.01; >48 h vs. <4 h: OR = 0.27, 95 % CI 0.09, 0.81, p = 0.02). CONCLUSIONS: The mortality burden of trauma and sepsis in the TASH-ED is substantial, and mortality patterns differ between these groups. As emergency medicine develops as a specialty in the Ethiopian health system, the potential impact of context-specific clinical care protocol development, trauma prevention advocacy and ED care re-organization initiatives to reduce mortality among these young, previously well patients warrants exploration. BioMed Central 2015-10-24 /pmc/articles/PMC4619982/ /pubmed/26499999 http://dx.doi.org/10.1186/s13104-015-1592-z Text en © Hunchak et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hunchak, Cheryl
Teklu, Sisay
Meshkat, Nazanin
Meaney, Christopher
Puchalski Ritchie, Lisa
Patterns and predictors of early mortality among emergency department patients in Addis Ababa, Ethiopia
title Patterns and predictors of early mortality among emergency department patients in Addis Ababa, Ethiopia
title_full Patterns and predictors of early mortality among emergency department patients in Addis Ababa, Ethiopia
title_fullStr Patterns and predictors of early mortality among emergency department patients in Addis Ababa, Ethiopia
title_full_unstemmed Patterns and predictors of early mortality among emergency department patients in Addis Ababa, Ethiopia
title_short Patterns and predictors of early mortality among emergency department patients in Addis Ababa, Ethiopia
title_sort patterns and predictors of early mortality among emergency department patients in addis ababa, ethiopia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619982/
https://www.ncbi.nlm.nih.gov/pubmed/26499999
http://dx.doi.org/10.1186/s13104-015-1592-z
work_keys_str_mv AT hunchakcheryl patternsandpredictorsofearlymortalityamongemergencydepartmentpatientsinaddisababaethiopia
AT teklusisay patternsandpredictorsofearlymortalityamongemergencydepartmentpatientsinaddisababaethiopia
AT meshkatnazanin patternsandpredictorsofearlymortalityamongemergencydepartmentpatientsinaddisababaethiopia
AT meaneychristopher patternsandpredictorsofearlymortalityamongemergencydepartmentpatientsinaddisababaethiopia
AT puchalskiritchielisa patternsandpredictorsofearlymortalityamongemergencydepartmentpatientsinaddisababaethiopia