Role of NSI in Differentiating Between Mild Traumatic Brain Injury And Behavioral Health Conditions
The purpose of this study is to examine differences in post-concussive (PC) symptom endorsement among four groups of Operation Enduring Freedom (OEF)/Operation Iraqi Freedom (OIF) Veterans: those with a history of target, service-related, mild traumatic brain injury (mTBI) and co-occurring posttraumatic stress disorder (PTSD) (Group 1); those with a history of target, service-related, mTBI only (Group 2); those with PTSD only (Group 3); and those with no history of target, service-related, mTBI or PTSD (Group 4) by examining scores on the Neurobehavioral Symptom Inventory (NSI). Support for this study is provided by previous research highlighting the complex relationship between mTBI, PTSD and subsequent PC symptom endorsement (Brenner et al. 2010; Terrio et al, 2009).
HYPOTHESES ARE AS FOLLOWS:
- Individuals with a history of target, service-related, mTBI only (Group 2) and individuals with PTSD only (Group 3) each will report significantly more PC symptoms, as measured by NSI total scores, when compared to those with no history of service-related mTBI or PTSD (Group 4).
- Individuals with co-occurring target, service-related, mTBI history and PTSD (Group 1) will report significantly more PC symptoms, as measured by total NSI scores, than either those with target, service-related, mTBI only (Group 2) or those with PTSD only (Group 3).
Traumatic Brain Injury
Post-Traumatic Stress Disorder
Other: No Intervention
|Study Design:||Observational Model: Cohort
Time Perspective: Retrospective
|Official Title:||Differentiating Between Mild Traumatic Brain Injury And Behavioral Health Conditions: The Role of The Neurobehavioral Symptom Inventory|
- Neurobehavioral Symptom Inventory [ Time Frame: 1 day (NSI was administered 1 time during clinical visit and documented in EMR as described below) ] [ Designated as safety issue: No ]
The Neurobehavioral Symptom Inventory (NSI; Cicerone & Kalmar, 1995)is a 22-item self-report measure of PC symptoms recommended for use among military personnel by the Department of Defense (DoD). Subject responses to all 22 items will be extracted from each subject's TBI Consult Report note provided in her/his Electronic Medical Record (EMR).
Estimated time to collect all data from this retrospective chart review is 1 year.
|Study Start Date:||March 2011|
|Study Completion Date:||May 2015|
|Primary Completion Date:||May 2015 (Final data collection date for primary outcome measure)|
Operation Enduring Freedom (OEF)/Operation Iraqi Freedom (OIF) Veterans
Other: No Intervention
This retrospective data analysis will rely on data obtained from chart review.
Archival data will be collected from all OEF/OIF Veterans who were seen in the VA ECHCS TBI Clinic by Nancy Cutter, M.D. and her team between January 1, 2009 and December 31, 2010. Electronic Medical Record (EMR) progress note titles "OEF/OIF TBI 2nd Level Evaluation Consult Report" and "TBI Consult Report" will be used to identify potential subjects.
Power is based on the primary hypothesis that those with PTSD only (Group 3) and those with target, service-related mTBI only (Group 2) will have significantly more PC symptom reporting than those with no history of target, service-related mTBI or PTSD (Group 4). Belanger et al. (2010) reported a standard deviation of 15.3 on the NSI total score in a sample of 134 mTBI subjects. Assuming variability similar to the Belanger study, a significance level of 0.025 to correct for the two comparisons and 80% power, 180 subjects per group will detect a clinically significant difference of 5 points. For simplicity, this was calculated using a two-sided, two-sample t-test. Given that we are modeling all four groups together, pooled standard error estimates will be used, which will result in slightly higher power.
All analyses will assume a two-sided test of hypothesis with an overall significance level of 0.05, unless otherwise noted, and will be performed in either Statistical Analysis Software (SAS) v9.2 or above (SAS Institute, Inc., Cary, NC).
Demographic characteristics will be reported as means and standard deviations; medians and ranges; and proportions, as appropriate. Likewise, characteristics will be compared between the four aforementioned subject groups using Analysis of Variance (ANOVA), chi-square tests and/or nonparametric tests as appropriate.
Hypothesis 1: An ANOVA with reference cell coding will be utilized to model NSI total score as a function of the four groups (Group 1: Individuals with co-occurring target, service-related, mTBI and PTSD; Group 2: those with target, service-related, mTBI only; Group 3: those with PTSD only; and Group 4: those with no history of target, service-related, mTBI or PTSD). Potential confounders will then be assessed individually by adding them to the model with the groups. If any of the group parameter estimates changes by more than 10% with the inclusion of the potential confounder, the variable will be utilized in the final model. Once the final model is determined, a contrast will be set up within the model to test (1) PTSD only vs. Neither and (2) target, service-related, mTBI only vs. Neither, a Bonferroni correction will be employed such that the significance level will be adjusted to 0.025 for these two primary tests. Estimated mean differences will be reported with 95% CIs. Potential confounding variables to be considered are: age; gender; total number of deployments; time since last deployment; time since earliest documented mTBI; time since target, service-related, mTBI; and total number of mTBIs.
Hypothesis 2: Within the same final model above, a contrast will be used to test (1) those with co-occurring target, service-related, mTBI and PTSD vs. PTSD only and (2) those with co-occurring target, service-related, mTBI and PTSD vs. target, service-related, mTBI only.
Please refer to this study by its ClinicalTrials.gov identifier: NCT01502839
|United States, Colorado|
|VA Eastern Colorado Health Care System|
|Denver, Colorado, United States, 80220|
|Principal Investigator:||Gina Signoracci, Ph.D.||VA Eastern Colorado Health Care System|