Literature DB >> 23889965

An analysis of shock index as a correlate for outcomes in trauma by age group.

Andrea McNab1, Bracken Burns, Indermeet Bhullar, David Chesire, Andrew Kerwin.   

Abstract

BACKGROUND: Shock index as the ratio of heart rate to systolic blood pressure is a simple triage tool that correlates well with various outcomes in trauma patients. Concern has been raised regarding the accuracy of shock index in older patients. We sought to investigate the effects of age on the accuracy of shock index.
METHODS: This is a retrospective review of data from a level I trauma center. Shock index was calculated for 16,269 patients, and they were stratified into age groups by decade. The correlation between prehospital shock index for each of the age groups and for several outcome variables were evaluated by Pearson correlation coefficients. Logistic regression was used to evaluate an increase in shock index during transit and its relationship with mortality.
RESULTS: All correlation values for patients between 16 and 60 years of age were positive (P < .05). In patients who are older than 80 years, none of the correlations with the outcome variables were statistically significant. In patients older than 60 years, an increased shock index during transit correlated with an increase in mortality rates.
CONCLUSION: As expected, prehospital shock index alone has diminishing accuracy for patients older than 60 years of age and should be interpreted cautiously by trauma triage personnel. Shock index alone in patients younger than 60, and its increase during transit in patients older than 60, can be used as a valuable tool for the prehospital triage of trauma patients when determining the need for transport to a trauma center, preparation of resources, or activation of the trauma team.
Copyright © 2013 Mosby, Inc. All rights reserved.

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Year:  2013        PMID: 23889965     DOI: 10.1016/j.surg.2013.05.007

Source DB:  PubMed          Journal:  Surgery        ISSN: 0039-6060            Impact factor:   3.982


  14 in total

1.  Shock index: blunt clinical predictions.

Authors:  Boning Li; Christine Fanning; Amit Patel; Amay Parikh
Journal:  Crit Care       Date:  2013-11-21       Impact factor: 9.097

2.  Correlation of shock index and modified shock index with the outcome of adult trauma patients: a prospective study of 9860 patients.

Authors:  Ajai Singh; Sabir Ali; Avinash Agarwal; Rajeshwar Nath Srivastava
Journal:  N Am J Med Sci       Date:  2014-09

3.  Prediction of Massive Transfusion in Trauma Patients with Shock Index, Modified Shock Index, and Age Shock Index.

Authors:  Cheng-Shyuan Rau; Shao-Chun Wu; Spencer C H Kuo; Kuo Pao-Jen; Hsu Shiun-Yuan; Yi-Chun Chen; Hsiao-Yun Hsieh; Ching-Hua Hsieh; Hang-Tsung Liu
Journal:  Int J Environ Res Public Health       Date:  2016-07-05       Impact factor: 3.390

4.  Systolic Blood Pressure Lower than Heart Rate upon Arrival at and Departure from the Emergency Department Indicates a Poor Outcome for Adult Trauma Patients.

Authors:  Wei-Hung Lai; Shao-Chun Wu; Cheng-Shyuan Rau; Pao-Jen Kuo; Shiun-Yuan Hsu; Yi-Chun Chen; Hsiao-Yun Hsieh; Ching-Hua Hsieh
Journal:  Int J Environ Res Public Health       Date:  2016-05-25       Impact factor: 3.390

5.  Use of the reverse shock index for identifying high-risk patients in a five-level triage system.

Authors:  Jung-Fang Chuang; Cheng-Shyuan Rau; Shao-Chun Wu; Hang-Tsung Liu; Shiun-Yuan Hsu; Hsiao-Yun Hsieh; Yi-Chun Chen; Ching-Hua Hsieh
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2016-02-09       Impact factor: 2.953

6.  Patterns, management, and outcomes of traumatic pelvic fracture: insights from a multicenter study.

Authors:  Husham Abdelrahman; Ayman El-Menyar; Holger Keil; Abduljabbar Alhammoud; Syed Imran Ghouri; Elhadi Babikir; Mohammad Asim; Matthias Muenzberg; Hassan Al-Thani
Journal:  J Orthop Surg Res       Date:  2020-07-09       Impact factor: 2.359

7.  The Shock Index: is it ready for primetime?

Authors:  Brad Moffat; Kelly N Vogt; Kenji Inaba
Journal:  Crit Care       Date:  2013-10-03       Impact factor: 9.097

8.  Using the Reverse Shock Index at the Injury Scene and in the Emergency Department to Identify High-Risk Patients: A Cross-Sectional Retrospective Study.

Authors:  Wei-Hung Lai; Cheng-Shyuan Rau; Shiun-Yuan Hsu; Shao-Chun Wu; Pao-Jen Kuo; Hsiao-Yun Hsieh; Yi-Chun Chen; Ching-Hua Hsieh
Journal:  Int J Environ Res Public Health       Date:  2016-03-24       Impact factor: 3.390

9.  Shock in the emergency department; a 12 year population based cohort study.

Authors:  Jon Gitz Holler; Daniel Pilsgaard Henriksen; Søren Mikkelsen; Lars Melholt Rasmussen; Court Pedersen; Annmarie Touborg Lassen
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2016-06-30       Impact factor: 2.953

10.  Validation of the Shock Index, Modified Shock Index, and Age Shock Index for Predicting Mortality of Geriatric Trauma Patients in Emergency Departments.

Authors:  Soon Yong Kim; Ki Jeong Hong; Sang Do Shin; Young Sun Ro; Ki Ok Ahn; Yu Jin Kim; Eui Jung Lee
Journal:  J Korean Med Sci       Date:  2016-12       Impact factor: 2.153

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