• Molly M McNett, Shelly Amato, and Sue Ann Philippbar.
• Questions or comments about this article may be directed to Molly M. McNett, PhD RN CNRN, at mmcnett@metrohealth.org. She is a Director, Nursing Research, The MetroHealth System, Cleveland, OH. Shelly Amato, PhD candidate, CNS RN CRRN CNRN, is Clinical Nurse Specialist, Brain Injury Rehabilitation, The MetroHealth System, Cleveland, OH. Sue Ann Philippbar, MA CCC-SLP, is Speech Language Pathologist, The Center for Brain Injury Rehabilitation, The MetroHealth System, Cleveland, OH.
• J Neurosci Nurs. 2016 Jul 1; 48 (4): 207-14.

PurposeThe aim of this study was to compare predictive ability of hospital Glasgow Coma Scale (GCS) scores and scores obtained using a novel coma scoring tool (the Full Outline of Unresponsiveness [FOUR] scale) on long-term outcomes among patients with traumatic brain injury. Preliminary research of the FOUR scale suggests that it is comparable with GCS for predicting mortality and functional outcome at hospital discharge. No research has investigated relationships between coma scores and outcome 12 months postinjury.MethodsThis is a prospective cohort study. Data were gathered on adult patients with traumatic brain injury admitted to urban level I trauma center. GCS and FOUR scores were assigned at 24 and 72 hours and at hospital discharge. Glasgow Outcome Scale scores were assigned at 6 and 12 months.ResultsThe sample size was n = 107. Mean age was 53.5 (SD = ±21, range = 18-91) years. Spearman correlations were comparable and strongest among discharge GCS and FOUR scores and 12-month outcome (r = .73, p < .000; r = .72, p < .000). Multivariate regression models indicate that age and discharge GCS were the strongest predictors of outcome. Areas under the curve were similar for GCS and FOUR scores, with discharge scores occupying the largest areas.ConclusionGCS and FOUR scores were comparable in bivariate associations with long-term outcome. Discharge coma scores performed best for both tools, with GCS discharge scores predictive in multivariate models.

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