Literature DB >> 27436703

Glasgow Coma Scale Motor Component ("Patient Does Not Follow Commands") Performs Similarly to Total Glasgow Coma Scale in Predicting Severe Injury in Trauma Patients.

Douglas F Kupas1, Eric M Melnychuk2, Amanda J Young3.   

Abstract

STUDY
OBJECTIVE: Trauma victims are frequently triaged to a trauma center according to the patient's calculated Glasgow Coma Scale (GCS) score despite its known inconsistencies. The substitution of a simpler binary assessment of GCS-motor (GCS-m) score less than 6 (ie, "patient does not follow commands") would simplify field triage. We compare total GCS score to this binary assessment for predicting trauma outcomes.
METHODS: This retrospective analysis of a statewide trauma registry includes records from 393,877 patients from 1999 to 2013. Patients with initial GCS score less than or equal to 13 were compared with those with GCS-m score less than 6 for outcomes of Injury Severity Score (ISS) greater than 15, ISS greater than 24, death, ICU admission, need for surgery, or need for craniotomy. We judged a priori that differences less than 5% lack clinical importance.
RESULTS: The relative differences between GCS and GCS-m scores less than 6 were less than 5% and thus clinically unimportant for all outcomes tested, even when statistically significant. For the 6 outcomes, the differences in areas under receiver operating characteristic curves ranged from 0.014 to 0.048. Total GCS score less than or equal to 13 was slightly more sensitive (difference 3.3%; 95% confidence interval 3.2% to 3.4%) and slightly less specific (difference -1.5%; 95% confidence interval -1.6% to -1.5%) than GCS-m score less than 6 for predicting ISS greater than 15, with similar overall accuracy (74.1% versus 74.2%).
CONCLUSION: Replacement of the total GCS score with a simple binary decision point of GCS-m score less than 6, or a patient who "does not follow commands," predicts serious injury, as well as the total GCS score, and would simplify out-of-hospital trauma triage. Copyright Â
© 2016 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2016        PMID: 27436703     DOI: 10.1016/j.annemergmed.2016.06.017

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  5 in total

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4.  Basic Surveillance Parameters Improve the Prediction of Delayed Cerebral Infarction After Aneurysmal Subarachnoid Hemorrhage.

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5.  Development and Validation of a Simplified Prehospital Triage Model Using Neural Network to Predict Mortality in Trauma Patients: The Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure and Peripheral Oxygen Saturation (CAPSO) Model.

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  5 in total

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