Back Pain Consortium (BACPAC) Research Program Data Integration, Algorithm Development and Operations Management Center

背痛联盟​​ (BACPAC) 研究计划数据集成、算法开发和运营管理中心

• 批准号: 10400459
• 负责人: Kevin J Anstrom
• 金额: $ 41.64万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-26 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10400459
• 关键词: Address; Adult; Affect; African American; Algorithms; Back Pain; Brain; Characteristics; Chronic low back pain; Clinical Research; Collection; Development; Enrollment; Ensure; Evidence based treatment; Future; Health Care Costs; Hispanics; Individual; Learning; Low Back Pain; Medical History; Opiate Addiction; Participant; Pathogenesis; Patients; Pharmaceutical Preparations; Phenotype; Physical therapy; Population; Population Heterogeneity; Precision medicine trial; Recommendation; Research; Resources; Risk; Self Care; Sequential Multiple Assignment Randomized Trial; Site; Spinal; Strategic Planning; Time; Underrepresented Populations; United States; United States National Institutes of Health; addiction; algorithm development; base; data integration; disability; duloxetine; ethnic diversity; experience; imaging study; individual patient; insight; new technology; non-opioid analgesic; novel; operation; opioid overdose; optimal treatments; pain patient; patient population; precision medicine; precision medicine clinical trials; programs; racial diversity; recruit; socioeconomic diversity; treatment planning; treatment strategy

ABSTRACT Chronic low back pain (cLBP) affects over 10% of adults in the US, contributing to significant disability, substantial health care costs, and increasing the risk of opioid addiction or overdose for those suffering with cLBP. The NIH Back Pain Consortium (BACPAC), a key component of the NIH Helping to End Addiction Long- TermSM (HEAL) Initiative, is comprised of leading centers with expertise in the pathogenesis and treatment of cLBP. The Back Pain Consortium was assembled to advance understanding of the mechanisms that underlie cLBP as well as to identify novel treatments and treatment strategies for cLBP. Currently, there are a number of evidence-based treatments for low back pain that have been demonstrated to have modest effect sizes on average, but there is a dearth of guidance for clinicians regarding which treatments are best studied for specific patients based on the patient's own phenotypic characteristics. Accordingly, BACPAC is undertaking a large, multi-site, sequential, multiple assignment randomized trial (SMART) that will use existing and novel technologies to phenotype individuals experiencing cLBP. The primary objective of this trial is to estimate optimal precision medicine algorithms (i.e., dynamic treatment regimes) to assist clinicians in making treatment recommendations for future patients. The trial will evaluate a complementary set of treatments, including physical therapy, medication (duloxetine), enhanced self-care, and acceptance and commitment therapy, each of which may be used alone or to augment an existing treatment plan. Having racial, ethnic, and socioeconomic diversity of participants enrolled in this trial is crucial to our ability to learn optimal treatment strategies for individual patients and to ensure that what is learned is applicable to all individuals living with cLBP in the United States (US). This project aims to comprehensively address the challenges of recruiting and retaining a diverse population of cLBP patients that is reflective of the population of individuals who live with cLBP in the US. Through development of comprehensive recruitment and retention plans for strategically chosen study sites that have the capability to recruit from underrepresented populations (e.g., Black and Hispanic populations), and by providing dedicated financial resources to engage patients from these populations using tailored, culturally appropriate strategies, this first-in-kind precision medicine trial can provide unique insight into how we can better treat all cLBP patients, including those from racially and ethnically diverse backgrounds that have historically been excluded from clinical research.

抽象的 慢性腰痛（CLBP）影响美国超过10％的成年人，导致严重的残疾， 大量医疗保健费用，并增加患有阿片类药物成瘾或过量的风险 CLBP。 NIH背痛联盟（BACPAC），NIH的关键组成部分有助于结束成瘾长期 Termm（Heal）倡议由具有专业知识的领先中心组成 CLBP。腰痛协会组装了，以提高对基础机制的理解 CLBP以及确定CLBP的新型治疗和治疗策略。目前，有很多 基于证据的腰痛治疗已被证明具有适度的效果大小 平均水平，但缺乏临床医生的指导 基于患者自己的表型特征的患者。因此，BACPAC正在进行大型， 多站点，顺序，多个分配随机试验（SMART），这些试验将使用现有和新颖 具有CLBP的表型的技术。该试验的主要目的是估计最佳 精密医学算法（即动态治疗方案），以协助临床医生进行治疗 对未来患者的建议。试验将评估一套互补的治疗，包括身体 治疗，药物（杜洛西汀），增强自我保健以及接受和承诺治疗，每种疗法 可以单独使用或增加现有的治疗计划。 参加此试验的参与者的种族，种族和社会经济多样性对于我们的能力至关重要 为个别患者学习最佳治疗策略，并确保所学的知识适用于所有人 在美国（美国）与CLBP一起生活的人。该项目旨在全面解决 招募和保留各种各样的CLBP患者的挑战，这些患者反映了 在美国与CLBP一起生活的个人。通过开发全面招聘和保留 具有战略性选择的研究网站的计划，这些研究网站有能力从代表性不足的人群中招募 （例如，黑人和西班牙裔人口），并提供专门的财务资源来吸引患者 这些人群使用量身定制的，文化适当的策略，这项最初的精密医学试验可以 提供有关我们如何更好地治疗所有CLBP患者的独特见解，包括种族和种族的患者 历史上从临床研究中排除的不同背景。

项目成果

The Back Pain Consortium (BACPAC) Research Program: Cover.

背痛联盟​​ (BACPAC) 研究计划：封面。

• DOI: 10.1093/pm/pnac199
• 发表时间: 2023
• 期刊: Pain medicine (Malden, Mass.)
• 作者: Carter,RobertH;Criswell,LindseyA
• 通讯作者: Criswell,LindseyA

Magnetic Resonance Imaging of the Lumbar Spine: Recommendations for Acquisition and Image Evaluation from the BACPAC Spine Imaging Working Group.

• DOI: 10.1093/pm/pnac130
• 发表时间: 2023-08-04
• 期刊: PAIN MEDICINE
• 影响因子: 3.1
• 作者: Sollmann, Nico;Fields, Aaron J.;O'Neill, Conor;Nardo, Lorenzo;Majumdar, Sharmila;Chin, Cynthia T.;Tosun, Duygu;Han, Misung;Vu, An T.;Ozhinsky, Eugene;Shah, Lubdha M.;Harris, Richard E.;Lobo, Remy;Anderst, William;Herzog, Richard;Psioda, Matthew A.;Standaert, Christopher J.;Price, River T.;Lotz, Jeffrey C.;Link, Thomas M.;Krug, Roland
• 通讯作者: Krug, Roland