ObjectiveTo identify pain phenotypes in patients with endometriosis and investigate their associations with demographics, clinical characteristics, comorbidities and pain‐related quality of life (QoL).DesignCross‐sectional, single‐centre, population‐based study.SettingReferral university centre in Quebec City, Canada.PopulationPatients diagnosed with endometriosis were enrolled consecutively between January 2020 and April 2024.MethodsLatent class analysis was used to identify pain phenotypes. A three‐step approach of latent class analysis, involving logistic regression models, was applied to assess the associations between pain phenotypes and demographics, clinical characteristics, comorbidities and pain‐related QoL.Main Outcome MeasuresPain phenotypes; demographic, clinical and comorbidity predictors of phenotype membership; association between QoL and pain phenotypes.ResultsA total of 352 patients were included. Two pain phenotypes were identified with distinct clinical presentations: one (54% of the participants) with more severe and frequent pain symptoms and poorer QoL and the other (46% of the participants) with mild and less frequent pain symptoms. The high pain phenotype was associated with previous treatment failure, painkiller use, familial history of endometriosis, low annual family income and comorbidities, including painful bladder, fibromyalgia, migraines, lower back pain, irritable bowel syndrome, anxiety and depression or mood disorders. The presence of endometrioma was associated with the low pain phenotype. Phenotype membership was associated with distinct QoL profiles (p < 0.001). The mean QoL score was higher in the high pain phenotype (59; 95% CI, 56–62) than in the low pain phenotype (33; 95% CI, 29–37).ConclusionPatients with endometriosis can be categorised into two distinct phenotypes that correlate with QoL and patient characteristics. Validation in other populations is necessary and could aid the development of specialised or personalised interventions.

中文翻译：

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子宫内膜异位症的疼痛表型：一项使用潜在类别分析的基于人群的研究


目的确定子宫内膜异位症患者的疼痛表型，并探讨其与人口统计学、临床特征、合并症和疼痛相关生活质量 （QoL） 的相关性。设计横断面、单中心、基于人群的研究。地点加拿大魁北克市的转诊大学中心.人群 2020 年 1 月至 2024 年 4 月期间连续入组诊断为子宫内膜异位症的患者.方法使用潜在类别分析来识别疼痛表型。采用涉及 logistic 回归模型的潜在类别分析的三步法来评估疼痛表型与人口统计学、临床特征、合并症和疼痛相关 QoL 之间的关联。表型成员的人口统计学、临床和合并症预测因子;QoL 与疼痛表型之间的关联。结果共纳入 352 例患者。确定了两种具有不同临床表现的疼痛表型：一种 （54% 的参与者） 具有更严重和频繁的疼痛症状和较差的 QoL，另一种 （46% 的参与者） 具有轻微和不太频繁的疼痛症状。高疼痛表型与既往治疗失败、止痛药使用、子宫内膜异位症家族史、家庭年收入低和合并症有关，包括膀胱疼痛、纤维肌痛、偏头痛、腰痛、肠易激综合征、焦虑抑郁或情绪障碍。子宫内膜异位症的存在与低痛表型有关。表型隶属关系与不同的 QoL 谱相关 （p < 0.001）。高疼痛表型 （59;95% CI， 56-62） 的平均 QoL 评分高于低痛表型 （33;95% CI， 29-37）。结论子宫内膜异位症患者可分为两种不同的表型，分别与 QoL 和患者特征相关。在其他人群中进行验证是必要的，这可能有助于开发专业或个性化的干预措施。