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Predictors of mortality and validation of burn mortality prognostic scores in a Malaysian burns intensive care unit
BACKGROUND: Majority burn mortality prognostic scores were developed and validated in western populations. The primary objective of this study was to evaluate and identify possible risk factors which may be used to predict burns mortality in a local Malaysian burns intensive care unit. The secondary...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839226/ https://www.ncbi.nlm.nih.gov/pubmed/31699024 http://dx.doi.org/10.1186/s12873-019-0284-8 |
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author | Lip, Henry Tan Chor Idris, Mohamad Azim Md. Imran, Farrah-Hani Azmah, Tuan Nur’ Huei, Tan Jih Thomas, Mathew |
author_facet | Lip, Henry Tan Chor Idris, Mohamad Azim Md. Imran, Farrah-Hani Azmah, Tuan Nur’ Huei, Tan Jih Thomas, Mathew |
author_sort | Lip, Henry Tan Chor |
collection | PubMed |
description | BACKGROUND: Majority burn mortality prognostic scores were developed and validated in western populations. The primary objective of this study was to evaluate and identify possible risk factors which may be used to predict burns mortality in a local Malaysian burns intensive care unit. The secondary objective was to validate the five well known burn prognostic scores (Baux score, Abbreviated Burn Severity Index (ABSI) score, Ryan score, Belgium Outcome Burn Injury (BOBI) score and revised Baux score) to predict burn mortality prediction. METHODS: Patients that were treated at the Hospital Sultan Ismail’s Burns Intensive Care (BICU) unit for acute burn injuries between 1 January 2010 to 31 December 2017 were included. Risk factors to predict in-patient burn mortality were gender, age, mechanism of injury, total body surface area burn (TBSA), inhalational injury, mechanical ventilation, presence of tracheotomy, time from of burn injury to BICU admission and initial centre of first emergency treatment was administered. These variables were analysed using univariate and multivariate analysis for the outcomes of death. All patients were scored retrospectively using the five-burn mortality prognostic scores. Predictive ability for burn mortality was analysed using the area under receiver operating curve (AUROC). RESULTS: A total of 525 patients (372 males and 153 females) with mean age of 34.5 ± 14.6 years were included. There were 463 survivors and 62 deaths (11.8% mortality rate). The outcome of the primary objective showed that amongst the burn mortality risk factors that remained after multivariate analysis were older age (p = 0.004), wider TBSA burn (p < 0.001) and presence of mechanical ventilation (p < 0.001). Outcome of secondary objective showed good AUROC value for the prediction of burn death for all five burn prediction scores (Baux score; AUROC:0.9, ABSI score; AUROC:0.92, Ryan score; AUROC:0.87, BOBI score; AUROC:0.91 and revised Baux score; AUROC:0.94). The revised Baux score had the best AUROC value of 0.94 to predict burns mortality. CONCLUSION: Current study evaluated and identified older age, total body surface area burns, and mechanical ventilation as significant predictors of burn mortality. In addition, the revised Baux score was the most accurate burn mortality risk score to predict mortality in a Malaysian burn’s population. |
format | Online Article Text |
id | pubmed-6839226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68392262019-11-12 Predictors of mortality and validation of burn mortality prognostic scores in a Malaysian burns intensive care unit Lip, Henry Tan Chor Idris, Mohamad Azim Md. Imran, Farrah-Hani Azmah, Tuan Nur’ Huei, Tan Jih Thomas, Mathew BMC Emerg Med Research Article BACKGROUND: Majority burn mortality prognostic scores were developed and validated in western populations. The primary objective of this study was to evaluate and identify possible risk factors which may be used to predict burns mortality in a local Malaysian burns intensive care unit. The secondary objective was to validate the five well known burn prognostic scores (Baux score, Abbreviated Burn Severity Index (ABSI) score, Ryan score, Belgium Outcome Burn Injury (BOBI) score and revised Baux score) to predict burn mortality prediction. METHODS: Patients that were treated at the Hospital Sultan Ismail’s Burns Intensive Care (BICU) unit for acute burn injuries between 1 January 2010 to 31 December 2017 were included. Risk factors to predict in-patient burn mortality were gender, age, mechanism of injury, total body surface area burn (TBSA), inhalational injury, mechanical ventilation, presence of tracheotomy, time from of burn injury to BICU admission and initial centre of first emergency treatment was administered. These variables were analysed using univariate and multivariate analysis for the outcomes of death. All patients were scored retrospectively using the five-burn mortality prognostic scores. Predictive ability for burn mortality was analysed using the area under receiver operating curve (AUROC). RESULTS: A total of 525 patients (372 males and 153 females) with mean age of 34.5 ± 14.6 years were included. There were 463 survivors and 62 deaths (11.8% mortality rate). The outcome of the primary objective showed that amongst the burn mortality risk factors that remained after multivariate analysis were older age (p = 0.004), wider TBSA burn (p < 0.001) and presence of mechanical ventilation (p < 0.001). Outcome of secondary objective showed good AUROC value for the prediction of burn death for all five burn prediction scores (Baux score; AUROC:0.9, ABSI score; AUROC:0.92, Ryan score; AUROC:0.87, BOBI score; AUROC:0.91 and revised Baux score; AUROC:0.94). The revised Baux score had the best AUROC value of 0.94 to predict burns mortality. CONCLUSION: Current study evaluated and identified older age, total body surface area burns, and mechanical ventilation as significant predictors of burn mortality. In addition, the revised Baux score was the most accurate burn mortality risk score to predict mortality in a Malaysian burn’s population. BioMed Central 2019-11-07 /pmc/articles/PMC6839226/ /pubmed/31699024 http://dx.doi.org/10.1186/s12873-019-0284-8 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 Lip, Henry Tan Chor Idris, Mohamad Azim Md. Imran, Farrah-Hani Azmah, Tuan Nur’ Huei, Tan Jih Thomas, Mathew Predictors of mortality and validation of burn mortality prognostic scores in a Malaysian burns intensive care unit |
title | Predictors of mortality and validation of burn mortality prognostic scores in a Malaysian burns intensive care unit |
title_full | Predictors of mortality and validation of burn mortality prognostic scores in a Malaysian burns intensive care unit |
title_fullStr | Predictors of mortality and validation of burn mortality prognostic scores in a Malaysian burns intensive care unit |
title_full_unstemmed | Predictors of mortality and validation of burn mortality prognostic scores in a Malaysian burns intensive care unit |
title_short | Predictors of mortality and validation of burn mortality prognostic scores in a Malaysian burns intensive care unit |
title_sort | predictors of mortality and validation of burn mortality prognostic scores in a malaysian burns intensive care unit |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839226/ https://www.ncbi.nlm.nih.gov/pubmed/31699024 http://dx.doi.org/10.1186/s12873-019-0284-8 |
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