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Traumatic Brain Injury

Evidence Tier:DOCUMENTED

Published in academic literature

For:Clinicians & Healthcare Professionals

App Summary

This app is a clinical prediction tool for medical providers to estimate the long-term quality of life for adult patients hospitalized with a traumatic brain injury (TBI). The associated research developed and validated the app's TBI-PRO model using data from 1,549 patients, demonstrating good accuracy in predicting favorable outcomes at 3, 6, and 12 months (AUROC = 0.81, 0.79, and 0.76, respectively). The authors conclude that the model adequately estimates long-term outcomes, providing a tool to support clinical prognostication for patients with TBI.

App Screenshots

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Detailed Description

Functionality & Mechanism This clinical tool implements the Traumatic Brain Injury-Patient Reported Outcome (TBI-PRO) model to estimate long-term quality of life following a TBI. The interface captures key patient variables available during hospitalization, including Glasgow Coma Scale scores and comorbidity data. The system processes these inputs through a validated algorithm to generate prognostic estimates for favorable quality of life outcomes at 3, 6, and 12 months post-injury. The tool is designed for rapid prognostic assessment in a clinical setting.

Evidence & Research Context

  • The underlying TBI-PRO predictive model was developed and validated using a large cohort of 1,549 adult patients from the multicenter TRACK-TBI dataset.
  • The model demonstrated robust discrimination in predicting favorable quality of life outcomes, as measured by the Quality of Life after Brain Injury-Overall Scale (QOLIBRI-OS).
  • Validation results indicated an Area Under the Receiver Operating Characteristic curve (AUROC) of 0.81 for 3-month outcomes, 0.79 for 6-month outcomes, and 0.76 for 12-month outcomes.
  • The associated research identifies variables such as insurance status, Glasgow Coma Scale score, and comorbidities as significant predictors of long-term patient-reported outcomes.

Intended Use & Scope This tool is intended for clinicians to facilitate prognostic discussions and care planning for adult patients hospitalized with traumatic brain injury. Its primary utility is to provide an evidence-based estimate of long-term quality of life. The model's output is not a substitute for comprehensive clinical judgment and should not be used as the sole basis for treatment decisions.

Studies & Publications

1 publication

Peer-reviewed research associated with this app.

Development/Design Paper

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

Morris et al. (2022) · The American Journal of Surgery

Describes the research-driven development of this app
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.
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Traumatic Brain Injury

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