TY - JOUR
T1 - Predicting Long-Term Global Outcome after Traumatic Brain Injury
T2 - Development of a Practical Prognostic Tool Using the Traumatic Brain Injury Model Systems National Database
AU - Walker, William C.
AU - Stromberg, Katharine A.
AU - Marwitz, Jennifer H.
AU - Sima, Adam P.
AU - Agyemang, Amma A.
AU - Graham, Kristin M.
AU - Harrison-Felix, Cynthia
AU - Hoffman, Jeanne M.
AU - Brown, Allen W.
AU - Kreutzer, Jeffrey S.
AU - Merchant, Randall
N1 - Funding Information:
The data contents for this manuscript were developed under a grant from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR; grant number 90 DP0013). NIDILRR is a Center within the Administration for Community Living (ACL), Department of Health and Human Services (HHS). Post-doctoral fellows were supported by NIDILRR grant number 90AR5025.
Funding Information:
This study was supported by National Institutes of Health (NIH) #RHD089097A. The data contents for this manuscript were developed under a grant from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR; grant number 90-DP0013). NIDILRR is a Center within the Administration for Community Living (ACL), Department of Health and Human Services (HHS). Post-doctoral fellows were supported by NIDILRR grant number 90AR5025. The contents of this manuscript do not necessarily represent the policy of NIH or NIDILRR, ACL, HHS, and you should not assume endorsement by the Federal Government. Dr. William C. Walker had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Funding Information:
This study was supported by National Institutes of Health (NIH) #RHD089097A.
Publisher Copyright:
© William C. Walker et al. 2018.
PY - 2018/7/15
Y1 - 2018/7/15
N2 - For patients surviving serious traumatic brain injury (TBI), families and other stakeholders often desire information on long-term functional prognosis, but accurate and easy-to-use clinical tools are lacking. We aimed to build utilitarian decision trees from commonly collected clinical variables to predict Glasgow Outcome Scale (GOS) functional levels at 1, 2, and 5 years after moderate-to-severe closed TBI. Flexible classification tree statistical modeling was used on prospectively collected data from the TBI-Model Systems (TBIMS) inception cohort study. Enrollments occurred at 17 designated, or previously designated, TBIMS inpatient rehabilitation facilities. Analysis included all participants with nonpenetrating TBI injured between January 1997 and January 2017. Sample sizes were 10,125 (year-1), 8,821 (year-2), and 6,165 (year-5) after cross-sectional exclusions (death, vegetative state, insufficient post-injury time, and unavailable outcome). In our final models, post-traumatic amnesia (PTA) duration consistently dominated branching hierarchy and was the lone injury characteristic significantly contributing to GOS predictability. Lower-order variables that added predictability were age, pre-morbid education, productivity, and occupational category. Generally, patient outcomes improved with shorter PTA, younger age, greater pre-morbid productivity, and higher pre-morbid vocational or educational achievement. Across all prognostic groups, the best and worst good recovery rates were 65.7% and 10.9%, respectively, and the best and worst severe disability rates were 3.9% and 64.1%. Predictability in test data sets ranged from C-statistic of 0.691 (year-1; confidence interval [CI], 0.675, 0.711) to 0.731 (year-2; CI, 0.724, 0.738). In conclusion, we developed a clinically useful tool to provide prognostic information on long-term functional outcomes for adult survivors of moderate and severe closed TBI. Predictive accuracy for GOS level was demonstrated in an independent test sample. Length of PTA, a clinical marker of injury severity, was by far the most critical outcome determinant.
AB - For patients surviving serious traumatic brain injury (TBI), families and other stakeholders often desire information on long-term functional prognosis, but accurate and easy-to-use clinical tools are lacking. We aimed to build utilitarian decision trees from commonly collected clinical variables to predict Glasgow Outcome Scale (GOS) functional levels at 1, 2, and 5 years after moderate-to-severe closed TBI. Flexible classification tree statistical modeling was used on prospectively collected data from the TBI-Model Systems (TBIMS) inception cohort study. Enrollments occurred at 17 designated, or previously designated, TBIMS inpatient rehabilitation facilities. Analysis included all participants with nonpenetrating TBI injured between January 1997 and January 2017. Sample sizes were 10,125 (year-1), 8,821 (year-2), and 6,165 (year-5) after cross-sectional exclusions (death, vegetative state, insufficient post-injury time, and unavailable outcome). In our final models, post-traumatic amnesia (PTA) duration consistently dominated branching hierarchy and was the lone injury characteristic significantly contributing to GOS predictability. Lower-order variables that added predictability were age, pre-morbid education, productivity, and occupational category. Generally, patient outcomes improved with shorter PTA, younger age, greater pre-morbid productivity, and higher pre-morbid vocational or educational achievement. Across all prognostic groups, the best and worst good recovery rates were 65.7% and 10.9%, respectively, and the best and worst severe disability rates were 3.9% and 64.1%. Predictability in test data sets ranged from C-statistic of 0.691 (year-1; confidence interval [CI], 0.675, 0.711) to 0.731 (year-2; CI, 0.724, 0.738). In conclusion, we developed a clinically useful tool to provide prognostic information on long-term functional outcomes for adult survivors of moderate and severe closed TBI. Predictive accuracy for GOS level was demonstrated in an independent test sample. Length of PTA, a clinical marker of injury severity, was by far the most critical outcome determinant.
KW - classification tree; functional outcome; Glasgow Outcome Scale; prognosis; traumatic brain injury classification tree
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UR - http://www.scopus.com/inward/citedby.url?scp=85049322892&partnerID=8YFLogxK
U2 - 10.1089/neu.2017.5359
DO - 10.1089/neu.2017.5359
M3 - Article
C2 - 29566600
AN - SCOPUS:85049322892
SN - 0897-7151
VL - 35
SP - 1587
EP - 1595
JO - Central Nervous System Trauma
JF - Central Nervous System Trauma
IS - 14
ER -