University of Michigan BACPAC Mechanistic Research Center

项目总结/摘要 慢性重叠疼痛状况（COPC）占所有慢性疼痛病例的50%，发生率更高， 通常在女性中，并且可能比其他形式的慢性疼痛更令人衰弱。这些条件包括 但不限于以下：颞下颌关节紊乱病（TMD）、纤维肌痛（FM）、肠易激 综合征（IBS）、外阴痛（VVD）、间质性膀胱炎/膀胱疼痛综合征（IC/PBS）、疼痛性子宫内膜异位症 （ENDO）、慢性紧张型头痛（cTTH）、偏头痛（MI）、慢性腰痛（cLBP），以及 肌痛性脑脊髓炎/慢性疲劳综合征（ME/CFS）。常见的神经生物学底物（例如， 中央敏化）被怀疑是重叠的原因;但直到最近， 有效地将个体内的这些条件中的每一个分类。一个数字化的、逻辑驱动的分类工具， 为这一目的开发了这一工具，但获得这一工具的机会仍然有限。在这里，我们建议将该COPC 将分类工具转换为REDCap格式，以便学术研究人员更广泛地访问 包括那些参与“治愈”计划的人COPC筛选器的REDCap转换后， 小型验证研究将有助于确保新格式保持其结构有效性，可用性， 与现有文书版本的等同性。

Project Summary / Abstract Chronic Overlapping Pain Conditions (COPCs) represent up to 50% of all chronic pain cases, occur more commonly in women, and can be more debilitating than other forms of chronic pain. These conditions include but are not limited to the following: temporomandibular disorders (TMD), fibromyalgia (FM), irritable bowel syndrome (IBS), vulvodynia (VVD), interstitial cystitis/painful bladder syndrome (IC/PBS), painful endometriosis (ENDO), chronic tension type headache (cTTH), migraine headache (MI), chronic low back pain (cLBP), and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Common neurobiological substrates (e.g., central sensitization) have been suspected to account for the overlap; but until recently, it has been difficult to efficiently classify each of these conditions within individuals. A digital, logic driven classification tool has been developed for this purpose but access to the tool remains limited. Here we propose converting this COPC classification tool into the REDCap format so that it will be more broadly accessible by academic researchers including those involved in the HEAL initiative. Following the REDCap conversion of the COPC screener, a small validation study will help to assure that the new format retains its construct validity, usability, and equivalence to existing versions of the instrument.