Predicting outcomes after traumatic brain injury: A novel hospital prediction model for a patient reported outcome

Rachel S Morris; Juan F Figueroa; Courtney J Pokrzywa; Jason K Barber; Nancy R Temkin; Carisa Bergner; Basil S Karam; Patrick Murphy; Lindsay D Nelson; Purushottam Laud; Zara Cooper; Marc de Moya; Colleen Trevino; Christopher J Tignanelli; Terri A deRoon-Cassini

doi:10.1016/j.amjsurg.2022.05.016

Predicting outcomes after traumatic brain injury: A novel hospital prediction model for a patient reported outcome

Am J Surg. 2022 Oct;224(4):1150-1155. doi: 10.1016/j.amjsurg.2022.05.016. Epub 2022 May 25.

Authors

Affiliations

¹ Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: ramorris@mcw.edu.
² Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: juanfigueroacordero@gmail.com.
³ Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: pokrzywac@gmail.com.
⁴ Department of Neurological Surgery, University of Washington, Seattle, WA, USA. Electronic address: barber@neurosurgery.washington.edu.
⁵ Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle, WA, USA. Electronic address: temkin@neurosurgery.washington.edu.
⁶ Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: cbergner@mcw.edu.
⁷ Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: bkaram@mcw.edu.
⁸ Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: pmurphy@mcw.edu.
⁹ Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: linelson@mcw.edu.
¹⁰ Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: laud@mcw.edu.
¹¹ Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA. Electronic address: zcooper@bwh.harvard.edu.
¹² Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: mdemoya@mcw.edu.
¹³ Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: ctrevino@mcw.edu.
¹⁴ Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA; Department of Surgery, North Memorial Health Hospital, Robbinsdale, MN, USA; Department of Surgery, University of Minnesota, Minneapolis, MN, USA. Electronic address: ctignane@umn.edu.
¹⁵ Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: tcassini@mcw.edu.

PMID: 35637020
DOI: 10.1016/j.amjsurg.2022.05.016

Abstract

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.

Keywords: Patient-reported outcomes; Prediction model; Quality of life; Traumatic brain injury.

MeSH terms

Adult
Brain Injuries*
Brain Injuries, Traumatic* / diagnosis
Brain Injuries, Traumatic* / therapy
Hospitals
Humans
Patient Reported Outcome Measures
Quality of Life