Unveiling endometriosis hidden comorbidities using a data-driven approach: a retrospective matched cohort study
摘要
Endometriosis is a chronic, inflammatory gynecological disease with significant comorbidities. This retrospective cohort study utilized a data-driven approach, analyzed a large UK electronic healthcare dataset and compared 8299 endometriosis patients with matched controls to explore and uncover novel comorbidities. The analysis confirmed higher prevalence of known comorbidities such as migraines and allergic disorders. Additionally, novel associations were identified, including acute laryngitis, sinusitis, viral infections, and sciatica. For each newly identified comorbidity, we proposed potential mechanisms, suggesting that endometriosis triggers a cascade of events impacting systems beyond the primary affected tissue, thereby reinforcing its characterization as a multi-system disease. These findings underscore the necessity for further research into the pathophysiology of endometriosis and its mechanistic links to identified comorbid conditions. Moreover, they highlight the importance of a multidisciplinary approach in the diagnosis and management of endometriosis and its comorbidities, aiming to expand the available treatment strategies and improve patient outcomes.