Modeling the return to consciousness after severe traumatic brain injury at a large academic level 1 trauma center.

Autor:	Winans NJ; 1Department of Neurological Surgery, Stony Brook University School of Medicine, Stony Brook, New York., Liang JJ; 1Department of Neurological Surgery, Stony Brook University School of Medicine, Stony Brook, New York., Ashcroft B; 1Department of Neurological Surgery, Stony Brook University School of Medicine, Stony Brook, New York., Doyle S; 2Department of Emergency Medicine, Christiana Care Health System, Newark, Delaware; and., Fry A; 3Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, New York., Fiore SM; 1Department of Neurological Surgery, Stony Brook University School of Medicine, Stony Brook, New York., Mofakham S; 1Department of Neurological Surgery, Stony Brook University School of Medicine, Stony Brook, New York., Mikell CB; 1Department of Neurological Surgery, Stony Brook University School of Medicine, Stony Brook, New York.
Jazyk:	angličtina
Zdroj:	Journal of neurosurgery [J Neurosurg] 2019 Jun 14; Vol. 133 (2), pp. 477-485. Date of Electronic Publication: 2019 Jun 14 (Print Publication: 2020).
DOI:	10.3171/2019.2.JNS183568
Abstrakt:	Objective: Severe traumatic brain injury (sTBI) carries significant morbidity and mortality. It remains difficult to counsel families on functional prognosis and plan research initiatives aimed at treating traumatic coma. In order to better address these problems, the authors set out to develop statistical models using retrospective data to identify admission characteristics that correlate with time until the return of consciousness, defined as the time to follow commands (TFC). These results were then used to create a TFC score, allowing for rapid identification of patients with predicted prolonged TFC. Methods: Data were reviewed and collected from medical records of sTBI patients with Glasgow Coma Scale (GCS) motor subscores ≤ 5 who were admitted to Stony Brook University Hospital from January 2011 to July 2018. Data were used to calculate descriptive statistics and build binary logistic regression models to identify admission characteristics that correlated with in-hospital mortality and in-hospital command-following. A Cox proportional hazards model was used to identify admission characteristics that correlated with the length of TFC. A TFC score was developed using the significant variables identified in the Cox regression model. Results: There were 402 adult patients who met the inclusion criteria for this study. The average age was 50.5 years, and 122 (30.3%) patients were women. In-hospital mortality was associated with older age, higher Injury Severity Score (ISS), higher Rotterdam score (head CT grading system), and the presence of bilateral fixed and dilated pupils (p < 0.01). In-hospital command-following was anticorrelated with age, ISS, Rotterdam score, and the presence of a single fixed and dilated pupil (p < 0.05). TFC was anticorrelated with age, ISS, Rotterdam score, and the presence of a single fixed and dilated pupil. Additionally, patients who sustained injuries from falls from standing height had a shorter average TFC. The 3 significant variables from the Cox regression model that explained the most variance were used to create a 4-point TFC score. The most significant of these characteristics were Rotterdam head CT scores, high impact traumas, and the presence of a single fixed and dilated pupil. Importantly, the presence of a single fixed and dilated pupil was correlated with longer TFC but no increase in likelihood of in-hospital mortality. Conclusions: The creation of the 4-point TFC score will allow clinicians to quickly identify patients with predicted prolonged TFC and estimate the likelihood of command-following at different times after injury. Discussions with family members should take into account the likelihood that patients will return to consciousness and survive after TBI.
Databáze:	MEDLINE
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