UCSF Big-Data Analysis Maps Over 600 Disease Associations in Endometriosis
Researchers used anonymized records from six UC medical centers to confirm endometriosis as a systemic disorder that may benefit from faster diagnostic methods.
Overview
- The team analyzed de-identified electronic health records of more than 40,000 endometriosis patients across six University of California medical centers using algorithms developed at UCSF.
- The analysis revealed over 600 comorbidities including known links to infertility and autoimmune diseases as well as unexpected connections to certain cancers, asthma and eye disorders.
- By charting these networks, the study reinforces the view of endometriosis as a multi-system condition affecting diverse organ systems.
- Comorbidity mapping could reduce the average seven-year delay in diagnosis by guiding noninvasive screening strategies.
- Insights from the network may enable personalized therapies through the repurposing of migraine drugs for symptom relief.