TY - JOUR
T1 - Longitudinal description of the glasgow outcome scale-extended for individuals in the traumatic brain injury model systems national database
T2 - A national institute on disability and rehabilitation research traumatic brain injury model systems study
AU - Pretz, Christopher R.
AU - Dams-O'Connor, Kristen
N1 - Funding Information:
The contents of this article were developed under a grant from the National Institute on Disability and Rehabilitation Research , Department of Education . However, these contents do not necessarily represent the policy of the Department of Education, and do not assume endorsement by the Federal Government.
Funding Information:
Supported by the Traumatic Brain Injury Model Systems National Data and Statistical Center , National Institute on Disability and Rehabilitation Research (grant no. H133A110006 ); and the National Institute on Disability and Rehabilitation Research-funded Traumatic Brain Injury Model System Center at the Mount Sinai Medical Center (grant no. H133A120084 ).
PY - 2013/12
Y1 - 2013/12
N2 - Objective To comprehensively describe the temporal patterns of global outcome after traumatic brain injury (TBI) in the Traumatic Brain Injury Model Systems National Database (TBIMS NDB). Design Longitudinal prospective cohort study. Setting TBI Model Systems centers. Participants Patients (N=3870) ≥16 years of age with moderate or severe TBI enrolled in the TBIMS NDB. Interventions None. Main Outcome Measure Glasgow Outcome Scale-Extended (GOS-E). Results The trajectory of the GOS-E scores is best described with a model of quadratic change, in which scores initially increase and peak approximately 10 years after the first GOS-E assessment, and then decrease. Change occurs most rapidly in the initial and final years of the timeline. There was significant variability in each growth parameter (P<.05). A reduced multilevel model was built, including all covariates (age at first GOS-E assessment, FIM, race, sex, rehabilitation length of stay) that related significantly to the growth parameters. An interactive tool was created to generate individual level trajectories based on various combinations of covariate values. Results provide an individual level account of the chronological progression of TBI outcomes, as measured by the GOS-E. Conclusions Individual growth curve analysis is a statistically rigorous approach to describe temporal change with respect to the GOS-E at the individual level for participants within the TBIMS NDB. Results indicated that, for individuals in the TBIMS NDB as a group, functional status as measured by the GOS-E initially improves, plateaus, and then begins to decline. Factors such as age at first GOS-E assessment, race, FIM score at rehabilitation admission, and rehabilitation length of stay were found to influence baseline GOS-E scores, as well as the rate and extent of both improvement and decline over time. Additional research may be required to determine the generalizability of these findings and the usefulness of this tool for clinical applications.
AB - Objective To comprehensively describe the temporal patterns of global outcome after traumatic brain injury (TBI) in the Traumatic Brain Injury Model Systems National Database (TBIMS NDB). Design Longitudinal prospective cohort study. Setting TBI Model Systems centers. Participants Patients (N=3870) ≥16 years of age with moderate or severe TBI enrolled in the TBIMS NDB. Interventions None. Main Outcome Measure Glasgow Outcome Scale-Extended (GOS-E). Results The trajectory of the GOS-E scores is best described with a model of quadratic change, in which scores initially increase and peak approximately 10 years after the first GOS-E assessment, and then decrease. Change occurs most rapidly in the initial and final years of the timeline. There was significant variability in each growth parameter (P<.05). A reduced multilevel model was built, including all covariates (age at first GOS-E assessment, FIM, race, sex, rehabilitation length of stay) that related significantly to the growth parameters. An interactive tool was created to generate individual level trajectories based on various combinations of covariate values. Results provide an individual level account of the chronological progression of TBI outcomes, as measured by the GOS-E. Conclusions Individual growth curve analysis is a statistically rigorous approach to describe temporal change with respect to the GOS-E at the individual level for participants within the TBIMS NDB. Results indicated that, for individuals in the TBIMS NDB as a group, functional status as measured by the GOS-E initially improves, plateaus, and then begins to decline. Factors such as age at first GOS-E assessment, race, FIM score at rehabilitation admission, and rehabilitation length of stay were found to influence baseline GOS-E scores, as well as the rate and extent of both improvement and decline over time. Additional research may be required to determine the generalizability of these findings and the usefulness of this tool for clinical applications.
KW - Brain injuries
KW - Longitudinal studies
KW - Outcome assessment (health care)
KW - Rehabilitation
UR - http://www.scopus.com/inward/record.url?scp=84888345042&partnerID=8YFLogxK
U2 - 10.1016/j.apmr.2013.06.021
DO - 10.1016/j.apmr.2013.06.021
M3 - Article
C2 - 23838239
AN - SCOPUS:84888345042
SN - 0003-9993
VL - 94
SP - 2486
EP - 2493
JO - Archives of Physical Medicine and Rehabilitation
JF - Archives of Physical Medicine and Rehabilitation
IS - 12
ER -