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Predictors of early versus late mortality in pelvic trauma patients

BACKGROUND: Risks of predicting time-related in-hospital mortality varies in pelvic trauma patients. We aim to identify potential independent risks predictive of time-related (early versus late) mortality among pelvic trauma patients. METHODS: Local trauma registry data from 2004 through 2013 were r...

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Autores principales: Wang, Hao, Robinson, Richard D., Moore, Billy, Kirk, Alexander J., Phillips, Jessica Laureano, Umejiego, Johnbosco, Chukwuma, Joseph, Miller, Tyler, Hassani, Donna, Zenarosa, Nestor R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4785731/
https://www.ncbi.nlm.nih.gov/pubmed/26964737
http://dx.doi.org/10.1186/s13049-016-0220-9
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author Wang, Hao
Robinson, Richard D.
Moore, Billy
Kirk, Alexander J.
Phillips, Jessica Laureano
Umejiego, Johnbosco
Chukwuma, Joseph
Miller, Tyler
Hassani, Donna
Zenarosa, Nestor R.
author_facet Wang, Hao
Robinson, Richard D.
Moore, Billy
Kirk, Alexander J.
Phillips, Jessica Laureano
Umejiego, Johnbosco
Chukwuma, Joseph
Miller, Tyler
Hassani, Donna
Zenarosa, Nestor R.
author_sort Wang, Hao
collection PubMed
description BACKGROUND: Risks of predicting time-related in-hospital mortality varies in pelvic trauma patients. We aim to identify potential independent risks predictive of time-related (early versus late) mortality among pelvic trauma patients. METHODS: Local trauma registry data from 2004 through 2013 were reviewed. Mortality causes and timing of death were investigated. Multivariate logistic regression identified independent risks predictive of early versus late mortality in pelvic trauma patients while adjusting for patient demographics (age, sex, race), clinical variables (initial vital signs, mental status, injury severity, associated injuries, comorbidities), and hospital outcomes (surgical interventions, crystalloid resuscitations, blood transfusions). RESULTS: We retrospectively collected data on 1566 pelvic trauma patients with a mortality rate of 9.96 % (156/1566). Approximately 74 % of patients died from massive hemorrhage within the first 24 h of hospitalization (early mortality). Revised trauma score (RTS), injury severity score (ISS), initial hemoglobin, direct transfer to operating room, and blood transfusion administration in the Emergency Department were considered independent risk factors predictive of early mortality. Age, ISS, and Glasgow Coma Scale (GCS) were deemed risk factors predictive of death after 24 h (late mortality). DISCUSSION: Given the fact of a substantial number of patients died within the first 24 h of hospital arrival, it is reasonable to consider the first 24 h of hospitalization as the appropriate window within which early mortality may be expected to occur in pelvic trauma patients. The risk factors associated with massive hemorrhage were strong predictors of early mortality, whereas late mortality predictors were more closely linked with comorbidities or in-hospital complications. CONCLUSIONS: While risk factors predictive of early versus late mortality vary, ISS seems to predict both early and late mortality accurately in pelvic trauma patients.
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spelling pubmed-47857312016-03-11 Predictors of early versus late mortality in pelvic trauma patients Wang, Hao Robinson, Richard D. Moore, Billy Kirk, Alexander J. Phillips, Jessica Laureano Umejiego, Johnbosco Chukwuma, Joseph Miller, Tyler Hassani, Donna Zenarosa, Nestor R. Scand J Trauma Resusc Emerg Med Original Research BACKGROUND: Risks of predicting time-related in-hospital mortality varies in pelvic trauma patients. We aim to identify potential independent risks predictive of time-related (early versus late) mortality among pelvic trauma patients. METHODS: Local trauma registry data from 2004 through 2013 were reviewed. Mortality causes and timing of death were investigated. Multivariate logistic regression identified independent risks predictive of early versus late mortality in pelvic trauma patients while adjusting for patient demographics (age, sex, race), clinical variables (initial vital signs, mental status, injury severity, associated injuries, comorbidities), and hospital outcomes (surgical interventions, crystalloid resuscitations, blood transfusions). RESULTS: We retrospectively collected data on 1566 pelvic trauma patients with a mortality rate of 9.96 % (156/1566). Approximately 74 % of patients died from massive hemorrhage within the first 24 h of hospitalization (early mortality). Revised trauma score (RTS), injury severity score (ISS), initial hemoglobin, direct transfer to operating room, and blood transfusion administration in the Emergency Department were considered independent risk factors predictive of early mortality. Age, ISS, and Glasgow Coma Scale (GCS) were deemed risk factors predictive of death after 24 h (late mortality). DISCUSSION: Given the fact of a substantial number of patients died within the first 24 h of hospital arrival, it is reasonable to consider the first 24 h of hospitalization as the appropriate window within which early mortality may be expected to occur in pelvic trauma patients. The risk factors associated with massive hemorrhage were strong predictors of early mortality, whereas late mortality predictors were more closely linked with comorbidities or in-hospital complications. CONCLUSIONS: While risk factors predictive of early versus late mortality vary, ISS seems to predict both early and late mortality accurately in pelvic trauma patients. BioMed Central 2016-03-10 /pmc/articles/PMC4785731/ /pubmed/26964737 http://dx.doi.org/10.1186/s13049-016-0220-9 Text en © Wang et al. 2016 Open Access This 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
Wang, Hao
Robinson, Richard D.
Moore, Billy
Kirk, Alexander J.
Phillips, Jessica Laureano
Umejiego, Johnbosco
Chukwuma, Joseph
Miller, Tyler
Hassani, Donna
Zenarosa, Nestor R.
Predictors of early versus late mortality in pelvic trauma patients
title Predictors of early versus late mortality in pelvic trauma patients
title_full Predictors of early versus late mortality in pelvic trauma patients
title_fullStr Predictors of early versus late mortality in pelvic trauma patients
title_full_unstemmed Predictors of early versus late mortality in pelvic trauma patients
title_short Predictors of early versus late mortality in pelvic trauma patients
title_sort predictors of early versus late mortality in pelvic trauma patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4785731/
https://www.ncbi.nlm.nih.gov/pubmed/26964737
http://dx.doi.org/10.1186/s13049-016-0220-9
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