Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, United States.
Office of Medical Education Research and Development, Michigan State University, East Lansing, MI, United States.
Pain. 2024 Sep 1;165(9):2119-2129. doi: 10.1097/j.pain.0000000000003218. Epub 2024 Apr 2.
Chronic pelvic pain is heterogeneous with potentially clinically informative subgroups. We aimed to identify subgroups of pelvic pain based on symptom patterns and investigate their associations with inflammatory and chronic pain-related comorbidities. Latent class analysis (LCA) identified subgroups of participants (n = 1255) from the Adolescence to Adulthood (A2A) cohort. Six participant characteristics were included in the LCA: severity, frequency, and impact on daily activities of both menstruation-associated (cyclic) and non-menstruation-associated (acyclic) pelvic pain. Three-step LCA quantified associations between LC subgroups, demographic and clinical variables, and 18 comorbidities (10 with prevalence ≥10%). Five subgroups were identified: none or minimal (23%), moderate cyclic only (28%), severe cyclic only (20%), moderate or severe acyclic plus moderate cyclic (9%), and severe acyclic plus severe cyclic (21%). Endometriosis prevalence within these 5 LCA-pelvic pain-defined subgroups ranged in size from 4% in "none or minimal pelvic pain" to 24%, 72%, 70%, and 94%, respectively, in the 4 pain subgroups, with statistically significant odds of membership only for the latter 3 subgroups. Migraines were associated with significant odds of membership in all 4 pelvic pain subgroups relative to those with no pelvic pain (adjusted odds ratios = 2.92-7.78), whereas back, joint, or leg pain each had significantly greater odds of membership in the latter 3 subgroups. Asthma or allergies had three times the odds of membership in the most severe pain group. Subgroups with elevated levels of cyclic or acyclic pain are associated with greater frequency of chronic overlapping pain conditions, suggesting an important role for central inflammatory and immunological mechanisms.
慢性盆腔痛具有异质性,可能存在具有临床意义的亚组。我们旨在根据症状模式确定盆腔痛亚组,并研究其与炎症和慢性疼痛相关合并症的关系。潜在类别分析(LCA)从青春期到成年期(A2A)队列中确定了亚组参与者(n = 1255)。LCA 纳入了 6 项参与者特征:月经相关(周期性)和非月经相关(非周期性)盆腔痛的严重程度、频率和对日常活动的影响。三步 LCA 量化了 LC 亚组与人口统计学和临床变量以及 18 种合并症(患病率≥10%的有 10 种)之间的关联。确定了 5 个亚组:无或轻度(23%)、中度周期性疼痛仅(28%)、严重周期性疼痛仅(20%)、中度或重度非周期性疼痛加中度周期性疼痛(9%)以及严重非周期性疼痛加严重周期性疼痛(21%)。在这 5 个基于 LCA 定义的盆腔痛亚组中,内异症的患病率从“无或轻度盆腔痛”组的 4%到后 3 个疼痛亚组的分别为 24%、72%、70%和 94%不等,后 3 个疼痛亚组的成员具有统计学意义。偏头痛与所有 4 个盆腔痛亚组的成员具有显著的关联,而与无盆腔痛的成员相比(调整后的比值比=2.92-7.78),而背部、关节或腿部疼痛与后 3 个亚组的成员具有显著的关联。哮喘或过敏使最严重疼痛组的成员可能性增加了 3 倍。循环或非循环疼痛水平升高的亚组与慢性重叠性疼痛疾病的频率更高相关,这表明中枢炎症和免疫机制起着重要作用。