Funded Projects

This health care data mining study analyzes existing Veterans Health Administration data sets to examine patient and organizational characteristics associated with buprenorphine termination during outpatient OUD treatment. This project will generate data useful for predictive modeling on how to implement targeted approaches to improve retention in OUD treatment. An objective is to identify patient, provider and system targets to reduce unnecessary or inappropriate discontinuation of buprenorphine care. These analyses are critical for establishing initial constructs to evaluate reasons for treatment discontinuation based upon patient, provider and system factors in different health care settings.

Wound care procedures (WCPs), such as dressing changes, cause moderate to severe pain in 74% of patients, nearly half of whom experience severe pain. Mainstay recommendations to prevent pain during WCPs have focused on either administration of preventive and procedural analgesia or use of expensive, non-adherent dressings. However, it is unclear which patients to target for analgesia or expensive dressings, leading to their inappropriate over- or underuse. To achieve the aims of the study, a comprehensive set of wound, patient, and biological factors will be measured concurrently with pain during a dressing change among a sample of 450 inpatients with open wounds. A predictive model will be developed and biological mechanisms will be examined using logistic regression. The proposed study has the potential to make significant contributions because clinicians will be able to target those patients requiring preventive pain control, thereby eliminating the spiraling impact of painful procedures on nociceptor sensitization.

Neonatal abstinence syndrome (NAS) rates have increased since 2000. To determine multifactorial genetic, psychosocial predictors of opioid-related maternal and infant outcomes using rigorous prospective longitudinal design, innovative combinatorial pharmacogenetic approach, fetal MRI, and neonatal brain resting state functional MRI analysis, we hypothesize that a combination of maternal and infant genetic profiles, maternal psychosocial factors, maternal opioid treatment response, fetal and neonatal neurodevelopment, and NAS treatment will affect maternal and childhood outcomes with prenatal opioid exposure. The specific aims are to (1) Identify high-risk genetic profiles and psychosocial factors in pregnant women with opioid use disorder (OUD) and predisposing to poor maternal opioid maintenance treatment outcomes; (2) Determine maternal-infant genetic profiles and maternal opioid treatment factors predicting adverse fetal development, severity of NAS, and neonatal brain function; and (3) Develop predictive models for maternal opioid relapse and poor long-term neurodevelopmental outcomes in children with in utero opioid exposure.

Sickle cell disease (SCD) is an inherited hematologic disorder accompanied by severe pain, inflammation, and vascular injury. We propose that nociceptor activation by ongoing hypoxia/reperfusion (H/R) injury leads to the release of neuropeptides by sensory nerves in the skin, stimulating vascular insult and mast cell activation in SCD. In turn, mast cell tryptase activates protease-activated receptor 2 on sensory nerve endings, resulting in exaggerated neuroinflammation, vascular injury, and central sensitization. Our general hypothesis is that neurogenic inflammation contributes to pain in SCD and that cannabinoids provide analgesia by disrupting neurogenic inflammation and nociceptor sensitization. We also hypothesize that EEG and functional MRI can be used to optimize analgesic treatments in SCD. We propose to use transgenic sickle mice, and individual cells involved in evoking pain, to perform this translational study. A proof of principle study in humans will examine the effect of cannabis on pain in sickle patients.

The System of Safety (SOS) represents an opportunity to study the implementation of best practice suicide-related care processes that embody the Zero Suicide Essential Elements of Care across emergency departments, inpatient medical and behavioral health units, and primary care clinics associated with a large healthcare system. This effectiveness trial will use a stepped wedge design across a total of 39 clinical units. Aim 1 will measure suicide risk screening and screening's impact on risk identification. Aim 2 will measure the effective implementation of clinician-administered interventions, such as safety planning with means restriction counseling, on suicide, suicide attempts, and suicide-related acute healthcare. Exploratory aims will examine mechanisms of action, moderators, economics, and population effects of the intervention. This study's innovative approach positions it for a significant impact on the fields of suicide prevention, CQI, and effectiveness trial design and analysis.

This project proposes to develop novel Gpr151 antagonists to facilitate long-term abstinence in opioid-dependent individuals. Gpr151 is an orphan G-protein coupled receptor that is expressed almost exclusively in the medial habenula and co-localizes with ?-opioid receptors to regulate the inhibitory effects of opioids on habenular neurons. Mice with a null mutation in Gpr151 (Gpr151-/- mice) are resistant to the stimulant and rewarding effects of opioids and self-administer lower quantities of oxycodone. Based on this preliminary work, the study will seek to identify Gpr151 antagonists through a variety of methods and optimize them for potency, selectivity, drug metabolism, pharmacokinetics, and brain penetration properties. The study will evaluate effects of those with the most favorable drug-like physiochemical properties on electrophysiological responses of medial habenula to opioid drugs and assess the in vivo efficacy of these novel antagonists in wild-type and Gpr151-/- mice.

Using a meta-analytic approach, this study analyzes existing data sets of individuals with drug use disorders to determine the impact of drug-focused 12-step mutual help groups, free of selection bias, in reducing opioid consumption and opioid-related problems.These data will be used to predict how augmentation of 12-step mutual help groups, added to medications for opioid use disorder (MOUD), may be used to improve retention in OUD treatment.

Mortality rates in Appalachia have progressively increased over recent years, in contrast to decreasing mortality rates observed in the remainder of the U.S. The West Virginia Clinical and Translational Science Institute (WVCTSI) was created in 2012 through the initial Clinical and Translational Research (CTR) award and has subsequently formed a well-connected, statewide research network, creating the infrastructure to address the substantial health disparities that exist in West Virginia. WVCTSI is now well positioned to attain the goals of this renewal application that include: 1) building sustainable research infrastructure that substantively contributes to improving West Virginia health outcomes by 2022; 2) recruiting the next generation of clinician scientists and translational researchers that excel in team science and are positioned for long-term success; and 3) actively engaging with multiple stakeholders that include communities, medical providers, and policy makers to drive research that improves the health of West Virginians.

Rapid technological advances are leading to field-deployable mobile sensing devices that can quantify complex dynamics of key physical, biological, behavioral, social, and environmental factors, enabling us to understand causation in complex disorders. Significant new investment is needed to develop and disseminate data analytics tools. The Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) will generate generalizable theory, methods, tools, and software to address major barriers to processing complex mobile sensor data and its use in biomedical knowledge discovery and just-in-time care delivery. We will develop and implement a standards-based, interoperable, extensible, and open-source big data software platform for efficient implementation of MD2K data analytics. MD2K will demonstrate the feasibility, utility, and generalizability of this approach by implementing the entire MD2K data analytics system in the context of two biomedical applications: reducing relapse among abstinent daily smokers and reducing readmission among congestive heart failure patients

This study addresses the public health problem of chronic pain as one of the most feared symptoms in people with cancer. Insufficient relief from pharmacological treatments and the fear of side effects are important reasons for the growing use of complementary pain management approaches in people with cancer. One such approach is music therapy. Although efficacy of music therapy for pain has been established, there are no mechanistic studies clarifying how it works in clinical populations. The overarching goals of this study are to 1) examine mediators and moderators hypothesized to account for the pain-reducing effects of interactive music therapy (IMT) in people with advanced cancer and chronic pain and 2) validate IMT’s theory of action. The results of this study will provide estimated effects sizes of IMT on the mediators and preliminary effect size estimates for the pain outcomes. This information will be instrumental in the development of a subsequent large-scale efficacy trial.

The Pain Management Collaboratory Coordinating Center (PMC3) will 1) provide national leadership and technical expertise in all aspects of research supporting the design and execution of high-impact demonstration projects that conduct cost-effective, large-scale, pragmatic clinical trials on non- pharmacological approaches for pain management and other comorbid conditions in veteran or military health care systems and 2) make data, tools, best practices, and resources from these and other projects available to facilitate research partnerships in VA and DoD health systems. The aims are to: 1) develop, adapt, and adopt technical policy guidelines and best practices for the effective design and conduct of pragmatic trials; 2) work collaboratively with and provide operational, technical, design, and other support to demonstration project teams to develop, initiate, and implement a research protocol; and 3) disseminate NIH–DoD–VA Pain Management Collaboratory–endorsed policies and best practices and lessons learned within military and veteran health care systems.

African American adults are less likely to receive analgesics, particularly opioids. Research in the pediatric surgical population is limited, but the pattern of disparate use of opioids appears consistent with adults. Furthermore, adolescent access to prescribed opioids has increased, both through physician prescribing and misuse of medications prescribed to family members or friends. This study will explore the interrelated impacts of policy, clinical need, and sociodemographic factors by combining Medicaid claims and electronic health record data with findings from a statewide opioid policy inventory. We will focus on discharge prescribing of opioids in three high-volume pediatric surgical procedures: tonsillectomy/adenoidectomy, supracondylar fracture, and appendectomy. We aim to 1) determine the extent of racial disparities in postoperative discharge opioid prescribing since the 2011 onset of enhanced opioid prescription reduction activities and 2) develop an expanded model to assess the linkage between differential opioid use for pediatric postoperative pain and opioid use-related outcomes.

The goal of this proposal is to launch an innovative, multi-modal neuroimaging program that will investigate the longitudinal trajectory of the neurodevelopment of irritability across the preschool period. Differentiating clinically salient irritability from developmentally normative temperamental variation has proven to be a difficult task. This is made even more challenging during the preschool period, when irritability has hit its normative peak and measuring neurodevelopment is impeded by methodological constraints. This research will (1) identify specific biomarkers underlying preschool vulnerability for psychopathology by examining neural maturation in executive function as a predictor for clinical outcome; and (2) examine how the parenting environment moderates this vulnerability, with the overarching objective of identifying aberrant irritable trajectories as the foundation for future brain-based behavioral intervention. Primary analyses will (1) probe underlying executive function as a predictor of clinical outcome; and (2) examine parent-child neural synchrony as a predictor of executive function maturation.