A prediction model of military combat and training exposures on VA service-connected disability: a CENC study.

Background: Research has shown that number of and blast-related Traumatic Brain Injuries (TBI) are associated with higher levels of service-connected disability (SCD) among US veterans. This study builds and tests a prediction model of SCD based on combat and training exposures experienced during active military service.Methods: Based on 492 US service member and veteran data collected at four Department of Veterans Affairs (VA) sites, traditional and Machine Learning algorithms were used to identify a best set of predictors and model type for predicting %SCD ≥50, the cut-point that allows for veteran access to 0% co-pay for VA health-care services.Results: The final model of predicting %SCD ≥50 in veterans revealed that the best blast/injury exposure-related predictors while deployed or non-deployed were: 1) number of controlled detonations experienced, 2) total number of blast exposures (including controlled and uncontrolled), and 3) the total number of uncontrolled blast and impact exposures.Conclusions and Relevance: We found that the highest blast/injury exposure predictor of %SCD ≥50 was number of controlled detonations, followed by total blasts, controlled or uncontrolled, and occurring in deployment or non-deployment settings. Further research confirming repetitive controlled blast exposure as a mechanism of chronic brain insult should be considered.

Comorbid TBI-depression costs in veterans: a chronic effect of neurotrauma consortium (CENC) study.

BACKGROUND: The U.S. Veterans Health Administration (VHA) provides depression treatment to veterans with Traumatic Brain Injury (TBI). VHA costs of comorbid TBI-depression were estimated by Operation Enduring Freedom/Operation Iraqi Freedom (OEF/OIF) status over 14 years. METHODS: VHA-USING veterans with TBI DIAGNOSED IN 2000-2010 were followed through FY2014. TBI severity was determined using the Department of Defense criteria. Depression was identified by the Elixhauser algorithm. Generalized linear and seemingly unrelated regression models were used to estimate the impact of depression on annual per veteran and total VHA inpatient, outpatient, and pharmaceutical costs, by OEF/OIF status. RESULTS: A total of 66.57% of pre-OEF/OIF and 87.46% of OEF/OIF veterans had depression. Depression was estimated to increase annual total ($1,847), outpatient ($1,558), and pharmaceutical ($287) costs for pre-OEF/OIF, and $1,228, $1,685, and $191 for OEF/OIF veterans. However, depression was estimated to lower annual inpatient costs by $648 per OEF/OIF veteran. The annual VHA cost for all veterans with comorbid TBI-depression was estimated at $1,101,329,953. CONCLUSIONS: The estimated annual cost for Veterans with comorbid TBI-depression was more than $1 billion. TBI and depression screening/treatment may result in reduced inpatient VHA costs in OEF/OIF veterans exposed to TBI. VHA policymakers should consider screening for TBI and depression in pre-OEF/OIF veterans.