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Survival analysis and mortality predictors of hospitalized severe burn victims in a Malaysian burns intensive care unit

BACKGROUND: Prognostic measures to determine burn mortality are essential in evaluating the severity of individual burn victims. This is an important process of triaging patients with high risk of mortality that may be nursed in the acute care setting. Malaysian burn research is lacking with only on...

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Autores principales: Tan Chor Lip, Henry, Tan, Jih Huei, Thomas, Mathew, Imran, Farrah-Hani, Azmah Tuan Mat, Tuan Nur’
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6348617/
https://www.ncbi.nlm.nih.gov/pubmed/30705904
http://dx.doi.org/10.1186/s41038-018-0140-1
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author Tan Chor Lip, Henry
Tan, Jih Huei
Thomas, Mathew
Imran, Farrah-Hani
Azmah Tuan Mat, Tuan Nur’
author_facet Tan Chor Lip, Henry
Tan, Jih Huei
Thomas, Mathew
Imran, Farrah-Hani
Azmah Tuan Mat, Tuan Nur’
author_sort Tan Chor Lip, Henry
collection PubMed
description BACKGROUND: Prognostic measures to determine burn mortality are essential in evaluating the severity of individual burn victims. This is an important process of triaging patients with high risk of mortality that may be nursed in the acute care setting. Malaysian burn research is lacking with only one publication identified which describes the epidemiology of burn victims. Therefore, the objective of this study was to go one step further and identify the predictors of burn mortality from a Malaysian burns intensive care unit (BICU) which may be used to triage patients at higher risk of death. METHODS: This is a retrospective cohort study of all admissions to Hospital Sultan Ismail’s BICU from January 2010 till October 2015. Admission criteria were in accordance with the American Burn Association guidelines, and risk factors of interest were recorded. Data was analyzed using simple logistic regression to determine significant predictors of mortality. Survival analysis with time to death event was performed using the Kaplan-Meier survival curve with log-rank test. RESULTS: Through the 6-year period, 393 patients were admitted with a male preponderance of 73.8%. The mean age and length of stay were 35.6 (±15.72) years and 15.3 (±18.91) days. There were 48 mortalities with an overall mortality rate of 12.2%. Significant risk factors identified on simple logistic regression were total body surface area (TBSA) > 20% (p < 0.001), inhalation injury (p < 0.001) and presence of early systemic inflammatory response syndrome (SIRS) (p < 0.001). Survival analysis using Kaplan-Meier survival curve showed similar results with TBSA > 20%, presence of SIRS, mechanical ventilation and inhalation injury which were associated with poorer survival (p < 0.001). CONCLUSION: The predictors of mortality identified in a Malaysian BICU were TBSA > 20%, early SIRS, mechanical ventilation and inhalation injury which were associated with poorer survival outcome. The immunological response differs from individual patients and influenced by the severity of burn injury. Early SIRS on admission is an important predictor of death and may represent the severity of burn injury. Patients who required mechanical ventilation were associated with mortality and it is likely related to the severity of pulmonary insults sustained by individual patients. This data is important for outcome prognostication and mortality risk counselling in severely burned patients.
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spelling pubmed-63486172019-01-31 Survival analysis and mortality predictors of hospitalized severe burn victims in a Malaysian burns intensive care unit Tan Chor Lip, Henry Tan, Jih Huei Thomas, Mathew Imran, Farrah-Hani Azmah Tuan Mat, Tuan Nur’ Burns Trauma Research Article BACKGROUND: Prognostic measures to determine burn mortality are essential in evaluating the severity of individual burn victims. This is an important process of triaging patients with high risk of mortality that may be nursed in the acute care setting. Malaysian burn research is lacking with only one publication identified which describes the epidemiology of burn victims. Therefore, the objective of this study was to go one step further and identify the predictors of burn mortality from a Malaysian burns intensive care unit (BICU) which may be used to triage patients at higher risk of death. METHODS: This is a retrospective cohort study of all admissions to Hospital Sultan Ismail’s BICU from January 2010 till October 2015. Admission criteria were in accordance with the American Burn Association guidelines, and risk factors of interest were recorded. Data was analyzed using simple logistic regression to determine significant predictors of mortality. Survival analysis with time to death event was performed using the Kaplan-Meier survival curve with log-rank test. RESULTS: Through the 6-year period, 393 patients were admitted with a male preponderance of 73.8%. The mean age and length of stay were 35.6 (±15.72) years and 15.3 (±18.91) days. There were 48 mortalities with an overall mortality rate of 12.2%. Significant risk factors identified on simple logistic regression were total body surface area (TBSA) > 20% (p < 0.001), inhalation injury (p < 0.001) and presence of early systemic inflammatory response syndrome (SIRS) (p < 0.001). Survival analysis using Kaplan-Meier survival curve showed similar results with TBSA > 20%, presence of SIRS, mechanical ventilation and inhalation injury which were associated with poorer survival (p < 0.001). CONCLUSION: The predictors of mortality identified in a Malaysian BICU were TBSA > 20%, early SIRS, mechanical ventilation and inhalation injury which were associated with poorer survival outcome. The immunological response differs from individual patients and influenced by the severity of burn injury. Early SIRS on admission is an important predictor of death and may represent the severity of burn injury. Patients who required mechanical ventilation were associated with mortality and it is likely related to the severity of pulmonary insults sustained by individual patients. This data is important for outcome prognostication and mortality risk counselling in severely burned patients. BioMed Central 2019-01-28 /pmc/articles/PMC6348617/ /pubmed/30705904 http://dx.doi.org/10.1186/s41038-018-0140-1 Text en © The Author(s) 2019 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
Tan Chor Lip, Henry
Tan, Jih Huei
Thomas, Mathew
Imran, Farrah-Hani
Azmah Tuan Mat, Tuan Nur’
Survival analysis and mortality predictors of hospitalized severe burn victims in a Malaysian burns intensive care unit
title Survival analysis and mortality predictors of hospitalized severe burn victims in a Malaysian burns intensive care unit
title_full Survival analysis and mortality predictors of hospitalized severe burn victims in a Malaysian burns intensive care unit
title_fullStr Survival analysis and mortality predictors of hospitalized severe burn victims in a Malaysian burns intensive care unit
title_full_unstemmed Survival analysis and mortality predictors of hospitalized severe burn victims in a Malaysian burns intensive care unit
title_short Survival analysis and mortality predictors of hospitalized severe burn victims in a Malaysian burns intensive care unit
title_sort survival analysis and mortality predictors of hospitalized severe burn victims in a malaysian burns intensive care unit
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6348617/
https://www.ncbi.nlm.nih.gov/pubmed/30705904
http://dx.doi.org/10.1186/s41038-018-0140-1
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