TY - JOUR
T1 - Predicting outcomes after traumatic brain injury
T2 - A novel hospital prediction model for a patient reported outcome
AU - Morris, Rachel S.
AU - Figueroa, Juan F.
AU - Pokrzywa, Courtney J.
AU - Barber, Jason K.
AU - Temkin, Nancy R.
AU - Bergner, Carisa
AU - Karam, Basil S.
AU - Murphy, Patrick
AU - Nelson, Lindsay D.
AU - Laud, Purushottam
AU - Cooper, Zara
AU - de Moya, Marc
AU - Trevino, Colleen
AU - Tignanelli, Christopher J.
AU - deRoon-Cassini, Terri A.
N1 - Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2022/10
Y1 - 2022/10
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. 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). 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. Conclusion: The TBI-PRO model adequately estimates long-term outcomes in patients with TBI.
AB - 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. 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). 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. Conclusion: The TBI-PRO model adequately estimates long-term outcomes in patients with TBI.
KW - Patient-reported outcomes
KW - Prediction model
KW - Quality of life
KW - Traumatic brain injury
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U2 - 10.1016/j.amjsurg.2022.05.016
DO - 10.1016/j.amjsurg.2022.05.016
M3 - Article
C2 - 35637020
AN - SCOPUS:85130979709
SN - 0002-9610
VL - 224
SP - 1150
EP - 1155
JO - American journal of surgery
JF - American journal of surgery
IS - 4
ER -