Literature DB >> 23252405

Meta-analysis of Glasgow coma scale and simplified motor score in predicting traumatic brain injury outcomes.

Balwinder Singh1, M Hassan Murad, Larry J Prokop, Patricia J Erwin, Zhen Wang, Shannon K Mommer, Sonia S Mascarenhas, Ajay K Parsaik.   

Abstract

OBJECTIVE: To perform a systematic review and meta-analysis to compare the simplified motor score (SMS) and Glasgow Coma Scale (GCS) in predicting outcomes in patients with traumatic brain injury (TBI). DATA SOURCES AND STUDY SELECTION: Ovid EMBASE, Ovid Medline, Ovid PsycInfo, evidence-based medicine reviews and Scopus and related conference proceedings were searched through 28 February 2012 for studies comparing SMS and GCS in predicting the outcomes [emergency tracheal intubation (ETI), clinically significant brain injuries (CSBI), neurosurgical intervention (NSI) and mortality] in patients with TBI. A random-effects model was used for meta-analysis. DATA SYNTHESIS: Five retrospective studies were eligible, enrolling a total of 102 132 subjects with TBI (63.4% males), with 14 670 (14.4%) ETI, 16 201 (15.9%) CSBI, 4730 (4.6%) NSI and 6725 (6.6%) mortality. Pooled AUC of the GCS and SMS were as follows: CSBI 0.79 and 0.75 (p = 0.16), NSI 0.83 and 0.81 (p = 0.34), ETI 0.85 and 0.82 (p = 0.31) and mortality 0.90 and 0.87 (p = 0.01). The difference in AUC for mortality was 0.03. Large heterogeneity between the studies was observed in all analyses (I(2 )> 50%).
CONCLUSION: In patients with TBI, SMS predicts different outcomes with similar accuracy as GCS except mortality. However, due to heterogeneity and limited numbers of studies, further prospective studies are required.

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Year:  2012        PMID: 23252405     DOI: 10.3109/02699052.2012.743182

Source DB:  PubMed          Journal:  Brain Inj        ISSN: 0269-9052            Impact factor:   2.311


  15 in total

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2.  Glasgow Coma Scale Score Fluctuations are Inversely Associated With a NIRS-based Index of Cerebral Autoregulation in Acutely Comatose Patients.

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3.  Predictors of ICU admission and patient outcome for traumatic brain injury in a Tanzanian referral hospital: Implications for improving treatment guidelines.

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4.  Components of traumatic brain injury severity indices.

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6.  Association between the Osteoporosis Self-Assessment Tool for Asians Score and Mortality in Patients with Isolated Moderate and Severe Traumatic Brain Injury: A Propensity Score-Matched Analysis.

Authors:  Cheng-Shyuan Rau; Pao-Jen Kuo; Shao-Chun Wu; Yi-Chun Chen; Hsiao-Yun Hsieh; Ching-Hua Hsieh
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7.  Outcome Prediction after Traumatic Brain Injury: Comparison of the Performance of Routinely Used Severity Scores and Multivariable Prognostic Models.

Authors:  Marek Majdan; Alexandra Brazinova; Martin Rusnak; Johannes Leitgeb
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8.  Effect of Age on Glasgow Coma Scale in Patients with Moderate and Severe Traumatic Brain Injury: An Approach with Propensity Score-Matched Population.

Authors:  Cheng-Shyuan Rau; Shao-Chun Wu; Yi-Chun Chen; Peng-Chen Chien; Hsiao-Yun Hsieh; Pao-Jen Kuo; Ching-Hua Hsieh
Journal:  Int J Environ Res Public Health       Date:  2017-11-13       Impact factor: 3.390

9.  Epidemiology of Bone Fracture in Female Trauma Patients Based on Risks of Osteoporosis Assessed using the Osteoporosis Self-Assessment Tool for Asians Score.

Authors:  Cheng-Shyuan Rau; Shao-Chun Wu; Pao-Jen Kuo; Yi-Chun Chen; Peng-Chen Chien; Hsiao-Yun Hsieh; Ching-Hua Hsieh
Journal:  Int J Environ Res Public Health       Date:  2017-11-13       Impact factor: 3.390

10.  Geriatric Nutritional Risk Index as a Prognostic Factor for Mortality in Elderly Patients with Moderate to Severe Traumatic Brain Injuries.

Authors:  Wei-Ti Su; Ching-Hua Tsai; Chun-Ying Huang; Sheng-En Chou; Chi Li; Shiun-Yuan Hsu; Ching-Hua Hsieh
Journal:  Risk Manag Healthc Policy       Date:  2021-06-10
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