Cargando…
Extremes of shock index predicts death in trauma patients
CONTEXT: We noted a bimodal relationship between mortality and shock index (SI), the ratio of heart rate to systolic blood pressure. AIMS: To determine if extremes of SI can predict mortality in trauma patients. SETTINGS AND DESIGNS: Retrospective evaluation of adult trauma patients at a tertiary ca...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960776/ https://www.ncbi.nlm.nih.gov/pubmed/27512331 http://dx.doi.org/10.4103/0974-2700.185272 |
_version_ | 1782444584980185088 |
---|---|
author | Odom, Stephen R. Howell, Michael D. Gupta, Alok Silva, George Cook, Charles H. Talmor, Daniel |
author_facet | Odom, Stephen R. Howell, Michael D. Gupta, Alok Silva, George Cook, Charles H. Talmor, Daniel |
author_sort | Odom, Stephen R. |
collection | PubMed |
description | CONTEXT: We noted a bimodal relationship between mortality and shock index (SI), the ratio of heart rate to systolic blood pressure. AIMS: To determine if extremes of SI can predict mortality in trauma patients. SETTINGS AND DESIGNS: Retrospective evaluation of adult trauma patients at a tertiary care center from 2000 to 2012 in the United States. MATERIALS AND METHODS: We examined the SI in trauma patients and determined the adjusted mortality for patients with and without head injuries. STATISTICAL ANALYSIS USED: Descriptive statistics and multivariable logistic regression. Results: SI values demonstrated a U-shaped relationship with mortality. Compared with patients with a SI between 0.5 and 0.7, patients with a SI of <0.3 had an odds ratio for death of 2.2 (95% confidence interval [CI] 21.2–4.1) after adjustment for age, Glasgow Coma score, and injury severity score while patients with SI >1.3 had an odds ratio of death of 3.1. (95% CI 1.6–5.9). Elevated SI is associated with increased mortality in patients with isolated torso injuries, and is associated with death at both low and high values in patients with head injury. CONCLUSION: Our data indicate a bimodal relationship between SI and mortality in head injured patients that persists after correction for various co-factors. The distribution of mortality is different between head injured patients and patients without head injuries. Elevated SI predicts death in all trauma patients, but low SI values only predict death in head injured patients. |
format | Online Article Text |
id | pubmed-4960776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-49607762016-08-10 Extremes of shock index predicts death in trauma patients Odom, Stephen R. Howell, Michael D. Gupta, Alok Silva, George Cook, Charles H. Talmor, Daniel J Emerg Trauma Shock Original Article CONTEXT: We noted a bimodal relationship between mortality and shock index (SI), the ratio of heart rate to systolic blood pressure. AIMS: To determine if extremes of SI can predict mortality in trauma patients. SETTINGS AND DESIGNS: Retrospective evaluation of adult trauma patients at a tertiary care center from 2000 to 2012 in the United States. MATERIALS AND METHODS: We examined the SI in trauma patients and determined the adjusted mortality for patients with and without head injuries. STATISTICAL ANALYSIS USED: Descriptive statistics and multivariable logistic regression. Results: SI values demonstrated a U-shaped relationship with mortality. Compared with patients with a SI between 0.5 and 0.7, patients with a SI of <0.3 had an odds ratio for death of 2.2 (95% confidence interval [CI] 21.2–4.1) after adjustment for age, Glasgow Coma score, and injury severity score while patients with SI >1.3 had an odds ratio of death of 3.1. (95% CI 1.6–5.9). Elevated SI is associated with increased mortality in patients with isolated torso injuries, and is associated with death at both low and high values in patients with head injury. CONCLUSION: Our data indicate a bimodal relationship between SI and mortality in head injured patients that persists after correction for various co-factors. The distribution of mortality is different between head injured patients and patients without head injuries. Elevated SI predicts death in all trauma patients, but low SI values only predict death in head injured patients. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC4960776/ /pubmed/27512331 http://dx.doi.org/10.4103/0974-2700.185272 Text en Copyright: © Journal of Emergencies, Trauma, and Shock http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Odom, Stephen R. Howell, Michael D. Gupta, Alok Silva, George Cook, Charles H. Talmor, Daniel Extremes of shock index predicts death in trauma patients |
title | Extremes of shock index predicts death in trauma patients |
title_full | Extremes of shock index predicts death in trauma patients |
title_fullStr | Extremes of shock index predicts death in trauma patients |
title_full_unstemmed | Extremes of shock index predicts death in trauma patients |
title_short | Extremes of shock index predicts death in trauma patients |
title_sort | extremes of shock index predicts death in trauma patients |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960776/ https://www.ncbi.nlm.nih.gov/pubmed/27512331 http://dx.doi.org/10.4103/0974-2700.185272 |
work_keys_str_mv | AT odomstephenr extremesofshockindexpredictsdeathintraumapatients AT howellmichaeld extremesofshockindexpredictsdeathintraumapatients AT guptaalok extremesofshockindexpredictsdeathintraumapatients AT silvageorge extremesofshockindexpredictsdeathintraumapatients AT cookcharlesh extremesofshockindexpredictsdeathintraumapatients AT talmordaniel extremesofshockindexpredictsdeathintraumapatients |