TY  - JOUR
PY  - 2019//
TI  - Predicting functional recovery after mild traumatic brain injury: the SHEFBIT cohort
JO  - Brain injury
A1  - Booker, James
A1  - Sinha, Saurabh
A1  - Choudhari, Kishor
A1  - Dawson, Jeremy
A1  - Singh, Rajiv
SP  - 1158
EP  - 1164
VL  - 33
IS  - 9
N2  - <b>Background</b>: Current prognostic models for mild Traumatic Brain Injury (mTBI) are unsatisfactory in identifying patients at risk of an unfavorable outcome following injury. <b>Objective</b>: To identify prognostic indicators of recovery one-year following mTBI. <b>Methods</b>: A large population (n = 596) of patients with mTBI were prospectively recruited following admission to the Emergency Department. Data were collected at brain injury clinics at 8-10 weeks and one-year after injury. Functional recovery at one year was assessed using the Glasgow Outcome Scale-Extended (GOSE). <b>Results</b>: A follow-up rate of 92% was achieved. The most common aetiologies of mTBI were falls (n = 222) and road traffic collisions (n = 154). Distribution of GCS was 15 (n = 363), 14 (n = 156) and 13 (n = 77). Ordinal regression analysis found that psychiatric history (<i>p</i> <.001), alcohol intoxication (<i>p</i> =.011), assault (<i>p</i> =.022) and GCS < 15 (<i>p =</i>< 0.001), were associated with worse outcome. An abnormal CT scan was not a predictor of disability. <b>Conclusion</b>: Patients with a previous psychiatric history, GCS < 15, etiology of assault, and alcohol intoxication result in worse long-term outcomes after mTBI. The predictors identified should be implemented when developing a future-validated a prognostic model for mTBI recovery.<p />  <p>Language: en</p>
LA  - en
SN  - 0269-9052
UR  - http://dx.doi.org/10.1080/02699052.2019.1629626
ID  - ref1
ER  -