Literature DB >> 25098849

Cerebral state index versus Glasgow coma scale as a predictor for in-hospital mortality in brain-injured patients.

Mehrdad Mahdian1, Mohammad-Reza Fazel, Esmaeil Fakharian, Hossein Akbari, Soroush Mahdian.   

Abstract

OBJECTIVE: To compare the value of Glasgow coma scale (GCS) and cerebral state index (CSI) on predicting hospital discharge status of acute brain-injured patients.
METHODS: In 60 brain-injured patients who did not receive sedatives, GCS and CSI were measured daily during the first 10 days of hospitalization. The outcome of prognostic cut-off points was calculated by GCS and CSI using receiver operating characteristic (ROC) curve regarding the time of admission and third day of hospitalization. Sensitivity, specificity and other predictive values for both indices were calculated.
RESULTS: Of the 60 assessed patients, 14 patients had mild, 13 patients had moderate and 33 patients had severe injuries. During the course of the study, 17 patients (28.3%) deteriorated in their situation and died. The mean GCS and CSI in patients who deceased during hospitalization was significantly lower than those who were discharged from the hospital. GCS<4.5 and CSI<64.5 at the time of admission was associated with higher mortality risk in traumatic brain injury patients and GCS was more sensitive than CSI to predict in-hospital death in these patients. For the first day of hospitalization, the area under ROC curve was 0.947 for GCS and 0.732 for CSI.
CONCLUSION: GCS score at ICU admission is a good predictor of in-hospital mortality. GCS<4.5 and CSI<64.5 at the time of admission is associated with higher mortality risk in traumatic brain injury patients and GCS is more sensitive than CSI in predicting death in these patients.

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Year:  2014        PMID: 25098849

Source DB:  PubMed          Journal:  Chin J Traumatol        ISSN: 1008-1275


  2 in total

1.  Prediction of ICU mortality in critically ill children : Comparison of SOFA, GCS, and FOUR score.

Authors:  Jamileh Ramazani; Mohammad Hosseini
Journal:  Med Klin Intensivmed Notfmed       Date:  2018-10-01       Impact factor: 0.840

2.  International Classification of Diseases-Based Audit of the Injury Database to Understand the Injury Distribution in Patients Who have Sustained a Head Injury (International Classification of Diseases Codes: S00-S09).

Authors:  Mitasha Singh; Ranabir Pal; Pradeep Yarasani; Prashant Bhandarkar; Ashok Munivenkatappa; Amit Agrawal
Journal:  J Emerg Trauma Shock       Date:  2018 Oct-Dec
  2 in total

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