Funded Projects

The NIH Back Pain Consortium (BACPAC) Research Program brings together leading centers with expertise in studying and treating chronic low back pain to advance understanding of the mechanisms that underlie the condition and to identify novel treatment strategies. BACPAC is undertaking a multisite precision medicine clinical trial taking into account patient-specific information to understand which patients with chronic low back pain respond best to various nonopioid, evidence-based treatments. The trial seeks to enroll a racially, ethnically, and socioeconomically diverse patient population to ensure that the results are applicable to all Americans with chronic low back pain. This project aims to develop comprehensive recruitment and retention plans for study sites that can recruit from historically underrepresented populations in clinical research (e.g., Black and Hispanic populations) and to provide dedicated financial resources to engage patients from these populations using tailored, culturally appropriate strategies.

Pain is one of the most common symptoms in cancer patients and one least likely to be adequately treated. It is particularly common in advanced cancer, affecting an estimated 64% of patients with advanced disease. Pain treatment guidelines state patients should have access to behavioral pain interventions that educate them about pain and teach them skills for managing it. The parent grant will evaluate the effectiveness of an evidence based pain management intervention called ?Pain Coping Skills Training? in a web based format for patients with advanced cancer. This supplement will provide support for a training opportunity that aligns with the goals of the parent grant and includes community outreach and engaging underserved populations in clinical research.

Cancer remains a leading cause of death among Hispanic/Latino populations in the United States. Compared with non-Hispanic Whites, Hispanic/Latino cancer patients are more likely to experience poor quality of life and inadequate cancer-related care, including less effective pain relief and poor patient‒provider communication. Additionally, Hispanic/Latino populations often have inadequate access to pain treatment, due to both social disparities and language barriers. However, most behavioral and psychosocial oncology research continues to focus on non-Hispanic Whites, and empirically validated and effective treatment interventions, particularly psychosocial interventions, are often not available in Spanish. This project will generate a Spanish-language version of the painTRAINER internet-based coping skills training program that is both linguistically and culturally sensitive and will evaluate its feasibility and acceptability in Hispanic/Latino patients with persistent cancer-related pain.

Managing persistent pain has long been a difficult challenge, one that is heightened by the recent opioid crisis. Although many potential solutions may exist, demonstrating their efficacy in a multicenter trial is a considerable obstacle. There is broad consensus that a nationwide clinical research network is necessary to promote innovation. A hub-spoke complex of academic medical centers with considerable experience in pain management clinical trials and biomarker validation will leverage existing resources to make clinical trial execution efficient and rapid. Together, spokes will provide maximum flexibility, ready to accommodate studies in any well-characterized pain condition.

The UCSF Core Center for Patient-centric Mechanistic Phenotyping in Chronic Low Back Pain (UCSF REACH) is an interdisciplinary consortium of basic and clinical scientists dedicated to understanding and clarifying the biopsychosocial mechanisms of chronic low back pain (cLBP). The goal of REACH is to define cLBP phenotypes and pain mechanisms that can lead to effective, personalized treatments for patients across the population. UCSF REACH has six cores that will support a single research project that is focused on the challenge of developing validated and adoptable tools that enable comprehensive yet routine clinical assessment and treatment of cLBP patients. Overall, the object of REACH is to make optimum use of all available resources to catalyze discovery and translation of novel diagnostics and therapeutics that improve outcomes of cLBP patients.

Chronic low back pain is difficult to diagnose and treat effectively in part, because of the interplay of biophysical and psychosocial influences that complicate the relationship between impairment, disability, and pain. Psychological factors such as fear of movement and catastrophyzing can lead to compensatory movement patterns that affect movement biomechanics and paraspinal structure and function, driving further impairment, disrupting the balance between passive and active spine stabilizers, and reinforcing the patient?s perceived disability status. This study will support research to determine how psychological factors, spinal pathology, and perception of pain severity and disability status influence compensatory movement strategies, how movement biomechanics, psychological factors, and pain mechanisms relate to paraspinal muscle quality, and their relative changes during treatment. The supplement will provide training opportunities for skills in clinical pain management research.

Despite the significance of spine disorders, there are few reliable methods to determine appropriate patient care and evaluate intervention effectiveness. The research and tool development take the critical next step in the clinical translation of faster, quantitative magnetic resonance imaging (MR) of patients with lower back pain. The multidisciplinary Technology Research Site (Tech Site) of BACPAC will develop Phase IV (i.e., technology optimization) technologies and/or methods (TTMs) to leverage two key technical advancements: development of machine learning-based, faster MR acquisition methods and machine learning for image segmentation and extraction of objective disease related features from images. The team will develop, validate, and deploy end-to-end deep learning-based technologies (TTMs) for accelerated image reconstruction, tissue segmentation, and detection of spinal degeneration to facilitate automated, robust assessment of structure-function relationships between spine characteristics, neurocognitive pain response, and patient-reported outcomes.

The MGH EPPIC-Net hub will utilize two well-established collaborative entities in both patient care and clinical research at the Massachusetts General Hospital (MGH): 1) MGH Division of Pain Medicine and 2) MGH Center for Translational Pain Research. This hub-spoke network at MGH will include four core spokes consisting of both academic centers and community health care organizations, as well as over a dozen spokes that can be recruited as needed based on special requirements of phase II trials and research studies. The responsibilities of this hub-spoke network at MGH include a) coordinating phase II trials/clinical biomarker validation studies; b) recruiting well-phenotyped subjects in a timely manner; c) collecting clinical data and targeted outcome data tailored to meet the needs of each clinical trial/study; and d) maintaining communications within and outside the hub, including the NIH EPPIC-Net.

The NIH’s HEAL Initiative aims to support collaboration between clinical research experts in academia and industry to accelerate the development of highly efficacious, nonaddictive analgesics for well-defined chronic pain syndromes. The University of Rochester (UR), and its leadership for the UR Hub and Spokes within Early Phase Pain Investigation Clinical Network (EPPIC-Net), will recruit subjects with a broad range of pain conditions, with a focus on leveraging clinical trial infrastructure to support patient recruitment and retention, timely and accurate data entry, and regulatory documentation, as well as recruit additional Spoke sites through a national network of analgesic researchers.

Data suggest that members of minority groups are more likely to develop chronic pain and to have greater pain burden. We will identify a set of promising intervention targets for reducing or eliminating racial/ethnic pain disparities. We will interview adult survivors of serious physical injury, comprised of roughly equal proportions of African-Americans (AA), Latinos, and non-Latino Whites (NLW), and examine their medical records for information on injury severity and medication use in-hospital. Our aims are to determine whether: 1) AA and Latino physical injury survivors experience more severe pain relative to NLW; 2) AA and Latino injury survivors experience greater pain burden relative to NLW counterparts; 3) differences in pain severity burden are linked to a set of target candidates for interventions; and (4) pain outcomes in at-risk minority groups can be linked to a set of target candidates for group-tailored interventions to reduce pain severity and pain burden.

For patients with end-stage renal disease treated with long-term hemodialysis (HD), the safety and efficacy of behavioral interventions alone or augmented by safer drugs remain untested. This study will perform a multicenter parallel group randomized controlled trial to test the efficacy of two interventions to reduce opioid use in HD patients. Seven hundred and twenty HD patients with significant and ongoing opioid use will be randomly assigned to (1) telehealth cognitive behavioral therapy (CBT) alone, (2) telehealth CBT augmented by transdermal buprenorphine, and (3) usual care, with follow-up for up to one year. The primary outcome will be prescribed morphine milligram equivalent (MME) over the preceding four weeks. Three patient-reported outcomes (interference by pain, functional status, and quality of life) will comprise the secondary outcomes.

The opioid crisis has underscored the urgency of alleviating patients’ chronic low back pain (cLBP) with effective therapies, including evidence-based nonpharmacologic approaches. Mindfulness-based stress reduction (MBSR) is now recommended by the American College of Physicians for initial treatment of cLBP. A pragmatic clinical trial (PCT) will inform health care decision makers about whether this program can be implemented in a real-life clinical setting and measure its impact on outcomes. The OPTIMUM (Optimizing Pain Treatment In Medical settings Using Mindfulness) program will integrate and test an evidence-based mindfulness clinical pain program for patients with cLBP in the primary care provider (PCP) setting. It will be conducted with three health care system sites. Four hundred and fifty persons ? 18 years of age with cLBP will be randomized to OPTIMUM + PCP Usual Care or PCP Usual Care.

There are currently no reliable tools to measure pain objectively, and health care providers must rely on patient’s subjective reports and observations of patient behavior to determine the level of pain a person experiences. This hampers both effective pain management and the development of new pain medications. This project will assess an imaging technology called Radiocaine that in animal studies has been able to identify the origin of pain as well as its intensity. The goal is to use Radiocaine in clinical trials for pain treatments, thereby enhancing treatment effectiveness and facilitating development of new treatments.