TY  - JOUR
PY  - 2022//
TI  - Predicting outcomes after traumatic brain injury: a novel hospital prediction model for a patient reported outcome
JO  - American journal of surgery
A1  - Morris, Rachel S.
A1  - Figueroa, Juan F.
A1  - Pokrzywa, Courtney J.
A1  - Barber, Jason K.
A1  - Temkin, Nancy R.
A1  - Bergner, Carisa
A1  - Karam, Basil S.
A1  - Murphy, Patrick
A1  - Nelson, Lindsay D.
A1  - Laud, Purushottam
A1  - Cooper, Zara
A1  - de Moya, Marc
A1  - Trevino, Colleen
A1  - Tignanelli, Christopher J.
A1  - deRoon-Cassini, Terri A.
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - BACKGROUND: Estimation of long-term quality of life in patients sustaining Traumatic brain injuries is a difficult but important task during the early hospitalization. There are very limited tools to assess these outcomes, therefore we aimed to develop a predictive model for quality-of-life that could be used in hospitalized adults with TBIs. <br><br>METHODS: The TRACK-TBI dataset was used to identify adult patients with TBI from 2014 to 2018. Multiple variables were assessed to predict favorable versus unfavorable scores on the Quality of Life after Brain Injury-Overall Scale (QOLIBRI-OS). <br><br>RESULTS: We included 1549 subjects. 57% had a favorable outcome, and were more likely to have private insurance, higher GCS scores, and fewer comorbidities. A model (TBI-PRO) for 3, 6, and 12-month QOLIBRI score was created. The AUROCs for predicting 3, 6 and 12-month favorable QOLIBRI scores were 0.81, 0.79, and 0.76, respectively. <br><br>CONCLUSION: The TBI-PRO model adequately estimates long-term outcomes in patients with TBI.<p />  <p>Language: en</p>
LA  - en
SN  - 0002-9610
UR  - http://dx.doi.org/10.1016/j.amjsurg.2022.05.016
ID  - ref1
ER  -