Cargando…

Computational evidence for an early, amplified systemic inflammation program in polytrauma patients with severe extremity injuries

Extremity and soft tissue injuries contribute significantly to inflammation and adverse in-hospital outcomes for trauma survivors; accordingly, we examined the complex association between clinical outcomes inflammatory responses in this setting using in silico tools. Two stringently propensity-match...

Descripción completa

Detalles Bibliográficos
Autores principales: Almahmoud, Khalid, Abboud, Andrew, Namas, Rami A., Zamora, Ruben, Sperry, Jason, Peitzman, Andrew B., Truitt, Michael S., Gaski, Greg E., McKinley, Todd O., Billiar, Timothy R., Vodovotz, Yoram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548366/
https://www.ncbi.nlm.nih.gov/pubmed/31163056
http://dx.doi.org/10.1371/journal.pone.0217577
_version_ 1783423832418156544
author Almahmoud, Khalid
Abboud, Andrew
Namas, Rami A.
Zamora, Ruben
Sperry, Jason
Peitzman, Andrew B.
Truitt, Michael S.
Gaski, Greg E.
McKinley, Todd O.
Billiar, Timothy R.
Vodovotz, Yoram
author_facet Almahmoud, Khalid
Abboud, Andrew
Namas, Rami A.
Zamora, Ruben
Sperry, Jason
Peitzman, Andrew B.
Truitt, Michael S.
Gaski, Greg E.
McKinley, Todd O.
Billiar, Timothy R.
Vodovotz, Yoram
author_sort Almahmoud, Khalid
collection PubMed
description Extremity and soft tissue injuries contribute significantly to inflammation and adverse in-hospital outcomes for trauma survivors; accordingly, we examined the complex association between clinical outcomes inflammatory responses in this setting using in silico tools. Two stringently propensity-matched, moderately/severely injured (Injury Severity Score > 16) patient sub-cohorts of ~30 patients each were derived retrospectively from a cohort of 472 blunt trauma survivors and segregated based on their degree of extremity injury severity (above or below 3 on the Abbreviated Injury Scale). Serial blood samples were analyzed for 31 plasma inflammatory mediators. In addition to standard statistical analyses, Dynamic Network Analysis (DyNA) and Principal Component Analysis (PCA) were used to model systemic inflammation following trauma. Patients in the severe extremity injury sub-cohort experienced longer intensive care unit length of stay (LOS), total LOS, and days on a mechanical ventilator, with higher Marshall Multiple Organ Dysfunction (MOD) Scores over the first 7 days post-injury as compared to the mild/moderate extremity injury sub-cohort. The higher severity cohort had statistically significant elevated lactate, base deficit, and creatine phosphokinase on first blood draw, along with significant changes in multiple circulating inflammatory mediators. DyNA pointed to a sustained role for type 17 immunity in both sub-cohorts, along with IFN-γ in the severe extremity injury group. DyNA network complexity increased over 7 days post-injury in the severe injury group, while generally decreasing over this same time period in the mild/moderate injury group. PCA suggested a more robust activation of multiple pathways in the severe extremity injury group as compared to the mild/moderate injury group. These studies thus point to the possibility of self-sustaining inflammation following severe extremity injury vs. resolving inflammation following less severe extremity injury.
format Online
Article
Text
id pubmed-6548366
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-65483662019-06-17 Computational evidence for an early, amplified systemic inflammation program in polytrauma patients with severe extremity injuries Almahmoud, Khalid Abboud, Andrew Namas, Rami A. Zamora, Ruben Sperry, Jason Peitzman, Andrew B. Truitt, Michael S. Gaski, Greg E. McKinley, Todd O. Billiar, Timothy R. Vodovotz, Yoram PLoS One Research Article Extremity and soft tissue injuries contribute significantly to inflammation and adverse in-hospital outcomes for trauma survivors; accordingly, we examined the complex association between clinical outcomes inflammatory responses in this setting using in silico tools. Two stringently propensity-matched, moderately/severely injured (Injury Severity Score > 16) patient sub-cohorts of ~30 patients each were derived retrospectively from a cohort of 472 blunt trauma survivors and segregated based on their degree of extremity injury severity (above or below 3 on the Abbreviated Injury Scale). Serial blood samples were analyzed for 31 plasma inflammatory mediators. In addition to standard statistical analyses, Dynamic Network Analysis (DyNA) and Principal Component Analysis (PCA) were used to model systemic inflammation following trauma. Patients in the severe extremity injury sub-cohort experienced longer intensive care unit length of stay (LOS), total LOS, and days on a mechanical ventilator, with higher Marshall Multiple Organ Dysfunction (MOD) Scores over the first 7 days post-injury as compared to the mild/moderate extremity injury sub-cohort. The higher severity cohort had statistically significant elevated lactate, base deficit, and creatine phosphokinase on first blood draw, along with significant changes in multiple circulating inflammatory mediators. DyNA pointed to a sustained role for type 17 immunity in both sub-cohorts, along with IFN-γ in the severe extremity injury group. DyNA network complexity increased over 7 days post-injury in the severe injury group, while generally decreasing over this same time period in the mild/moderate injury group. PCA suggested a more robust activation of multiple pathways in the severe extremity injury group as compared to the mild/moderate injury group. These studies thus point to the possibility of self-sustaining inflammation following severe extremity injury vs. resolving inflammation following less severe extremity injury. Public Library of Science 2019-06-04 /pmc/articles/PMC6548366/ /pubmed/31163056 http://dx.doi.org/10.1371/journal.pone.0217577 Text en © 2019 Almahmoud et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Almahmoud, Khalid
Abboud, Andrew
Namas, Rami A.
Zamora, Ruben
Sperry, Jason
Peitzman, Andrew B.
Truitt, Michael S.
Gaski, Greg E.
McKinley, Todd O.
Billiar, Timothy R.
Vodovotz, Yoram
Computational evidence for an early, amplified systemic inflammation program in polytrauma patients with severe extremity injuries
title Computational evidence for an early, amplified systemic inflammation program in polytrauma patients with severe extremity injuries
title_full Computational evidence for an early, amplified systemic inflammation program in polytrauma patients with severe extremity injuries
title_fullStr Computational evidence for an early, amplified systemic inflammation program in polytrauma patients with severe extremity injuries
title_full_unstemmed Computational evidence for an early, amplified systemic inflammation program in polytrauma patients with severe extremity injuries
title_short Computational evidence for an early, amplified systemic inflammation program in polytrauma patients with severe extremity injuries
title_sort computational evidence for an early, amplified systemic inflammation program in polytrauma patients with severe extremity injuries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548366/
https://www.ncbi.nlm.nih.gov/pubmed/31163056
http://dx.doi.org/10.1371/journal.pone.0217577
work_keys_str_mv AT almahmoudkhalid computationalevidenceforanearlyamplifiedsystemicinflammationprograminpolytraumapatientswithsevereextremityinjuries
AT abboudandrew computationalevidenceforanearlyamplifiedsystemicinflammationprograminpolytraumapatientswithsevereextremityinjuries
AT namasramia computationalevidenceforanearlyamplifiedsystemicinflammationprograminpolytraumapatientswithsevereextremityinjuries
AT zamoraruben computationalevidenceforanearlyamplifiedsystemicinflammationprograminpolytraumapatientswithsevereextremityinjuries
AT sperryjason computationalevidenceforanearlyamplifiedsystemicinflammationprograminpolytraumapatientswithsevereextremityinjuries
AT peitzmanandrewb computationalevidenceforanearlyamplifiedsystemicinflammationprograminpolytraumapatientswithsevereextremityinjuries
AT truittmichaels computationalevidenceforanearlyamplifiedsystemicinflammationprograminpolytraumapatientswithsevereextremityinjuries
AT gaskigrege computationalevidenceforanearlyamplifiedsystemicinflammationprograminpolytraumapatientswithsevereextremityinjuries
AT mckinleytoddo computationalevidenceforanearlyamplifiedsystemicinflammationprograminpolytraumapatientswithsevereextremityinjuries
AT billiartimothyr computationalevidenceforanearlyamplifiedsystemicinflammationprograminpolytraumapatientswithsevereextremityinjuries
AT vodovotzyoram computationalevidenceforanearlyamplifiedsystemicinflammationprograminpolytraumapatientswithsevereextremityinjuries