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One-year and three-year mortality prediction in adult major blunt trauma survivors: a National Retrospective Cohort Analysis

BACKGROUND: Survivors of trauma are at increased risk of dying after discharge. Studies have found that age, head injury, injury severity, falls and co-morbidities predict long-term mortality. The objective of our study was to build a nomogram predictor of 1-year and 3-year mortality for major blunt...

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Autores principales: Wong, Ting Hway, Nadkarni, Nivedita Vikas, Nguyen, Hai V., Lim, Gek Hsiang, Matchar, David Bruce, Seow, Dennis Chuen Chai, King, Nicolas K. K., Ong, Marcus Eng Hock
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907285/
https://www.ncbi.nlm.nih.gov/pubmed/29669572
http://dx.doi.org/10.1186/s13049-018-0497-y
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author Wong, Ting Hway
Nadkarni, Nivedita Vikas
Nguyen, Hai V.
Lim, Gek Hsiang
Matchar, David Bruce
Seow, Dennis Chuen Chai
King, Nicolas K. K.
Ong, Marcus Eng Hock
author_facet Wong, Ting Hway
Nadkarni, Nivedita Vikas
Nguyen, Hai V.
Lim, Gek Hsiang
Matchar, David Bruce
Seow, Dennis Chuen Chai
King, Nicolas K. K.
Ong, Marcus Eng Hock
author_sort Wong, Ting Hway
collection PubMed
description BACKGROUND: Survivors of trauma are at increased risk of dying after discharge. Studies have found that age, head injury, injury severity, falls and co-morbidities predict long-term mortality. The objective of our study was to build a nomogram predictor of 1-year and 3-year mortality for major blunt trauma adult survivors of the index hospitalization. METHODS: Using data from the Singapore National Trauma Registry, 2011–2013, we analyzed adults aged 18 and over, admitted after blunt injury, with an injury severity score (ISS) of 12 or more, who survived the index hospitalization, linked to death registry data. The study population was randomly divided 60/40 into separate construction and validation datasets, with the model built in the construction dataset, then tested in the validation dataset. Multivariable logistic regression was used to analyze 1-year and 3-year mortality. RESULTS: Of the 3414 blunt trauma survivors, 247 (7.2%) died within 1 year, and 551 (16.1%) died within 3 years of injury. Age (OR 1.06, 95% CI 1.05–1.07, p < 0.001), male gender (OR 1.53, 95% CI 1.12–2.10, p < 0.01), low fall from 0.5 m or less (OR 3.48, 95% CI 2.06–5.87, p < 0.001), Charlson comorbidity index of 2 or more (OR 2.26, 95% CI 1.38–3.70, p < 0.01), diabetes (OR 1.31, 95% CI 1.68–2.52, p = 0.04), cancer (OR 1.76, 95% CI 0.94–3.32, p = 0.08), head and neck AIS 3 or more (OR 1.79, 95% CI 1.13–2.84, p = 0.01), length of hospitalization of 30 days or more (OR 1.99, 95% CI 1.02–3.86, p = 0.04) were predictors of 1-year mortality. This model had a c-statistic of 0.85. Similar factors were found significant for the model predictor of 3-year mortality, which had a c-statistic of 0.83. Both models were validated on the second dataset, with an overall accuracy of 0.94 and 0.84 for 1-year and 3-year mortality respectively. CONCLUSIONS: Adult survivors of major blunt trauma can be risk-stratified at discharge for long-term support.
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spelling pubmed-59072852018-04-30 One-year and three-year mortality prediction in adult major blunt trauma survivors: a National Retrospective Cohort Analysis Wong, Ting Hway Nadkarni, Nivedita Vikas Nguyen, Hai V. Lim, Gek Hsiang Matchar, David Bruce Seow, Dennis Chuen Chai King, Nicolas K. K. Ong, Marcus Eng Hock Scand J Trauma Resusc Emerg Med Original Research BACKGROUND: Survivors of trauma are at increased risk of dying after discharge. Studies have found that age, head injury, injury severity, falls and co-morbidities predict long-term mortality. The objective of our study was to build a nomogram predictor of 1-year and 3-year mortality for major blunt trauma adult survivors of the index hospitalization. METHODS: Using data from the Singapore National Trauma Registry, 2011–2013, we analyzed adults aged 18 and over, admitted after blunt injury, with an injury severity score (ISS) of 12 or more, who survived the index hospitalization, linked to death registry data. The study population was randomly divided 60/40 into separate construction and validation datasets, with the model built in the construction dataset, then tested in the validation dataset. Multivariable logistic regression was used to analyze 1-year and 3-year mortality. RESULTS: Of the 3414 blunt trauma survivors, 247 (7.2%) died within 1 year, and 551 (16.1%) died within 3 years of injury. Age (OR 1.06, 95% CI 1.05–1.07, p < 0.001), male gender (OR 1.53, 95% CI 1.12–2.10, p < 0.01), low fall from 0.5 m or less (OR 3.48, 95% CI 2.06–5.87, p < 0.001), Charlson comorbidity index of 2 or more (OR 2.26, 95% CI 1.38–3.70, p < 0.01), diabetes (OR 1.31, 95% CI 1.68–2.52, p = 0.04), cancer (OR 1.76, 95% CI 0.94–3.32, p = 0.08), head and neck AIS 3 or more (OR 1.79, 95% CI 1.13–2.84, p = 0.01), length of hospitalization of 30 days or more (OR 1.99, 95% CI 1.02–3.86, p = 0.04) were predictors of 1-year mortality. This model had a c-statistic of 0.85. Similar factors were found significant for the model predictor of 3-year mortality, which had a c-statistic of 0.83. Both models were validated on the second dataset, with an overall accuracy of 0.94 and 0.84 for 1-year and 3-year mortality respectively. CONCLUSIONS: Adult survivors of major blunt trauma can be risk-stratified at discharge for long-term support. BioMed Central 2018-04-18 /pmc/articles/PMC5907285/ /pubmed/29669572 http://dx.doi.org/10.1186/s13049-018-0497-y Text en © The Author(s). 2018 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 Original Research
Wong, Ting Hway
Nadkarni, Nivedita Vikas
Nguyen, Hai V.
Lim, Gek Hsiang
Matchar, David Bruce
Seow, Dennis Chuen Chai
King, Nicolas K. K.
Ong, Marcus Eng Hock
One-year and three-year mortality prediction in adult major blunt trauma survivors: a National Retrospective Cohort Analysis
title One-year and three-year mortality prediction in adult major blunt trauma survivors: a National Retrospective Cohort Analysis
title_full One-year and three-year mortality prediction in adult major blunt trauma survivors: a National Retrospective Cohort Analysis
title_fullStr One-year and three-year mortality prediction in adult major blunt trauma survivors: a National Retrospective Cohort Analysis
title_full_unstemmed One-year and three-year mortality prediction in adult major blunt trauma survivors: a National Retrospective Cohort Analysis
title_short One-year and three-year mortality prediction in adult major blunt trauma survivors: a National Retrospective Cohort Analysis
title_sort one-year and three-year mortality prediction in adult major blunt trauma survivors: a national retrospective cohort analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907285/
https://www.ncbi.nlm.nih.gov/pubmed/29669572
http://dx.doi.org/10.1186/s13049-018-0497-y
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