Leveraging electronic health records to identify risk factors for recurrent pregnancy loss across two medical centers: a case-control study

Recurrent pregnancy loss (RPL) affects 5-6% of individuals and is a complex, multifactorial condition. This case-control study, using de-identified electronic health records (EHRs) from UCSF and Stanford, investigated risk factors for RPL. Over 1600 candidate diagnoses were compared in 8496 RPL patients and 53278 controls. The study identified several known and novel risk factors, including menstrual abnormalities, infertility-associated diagnoses, infections, and metabolic syndrome. Findings were validated across centers, with most associations remaining significant after controlling for healthcare utilization. Odds ratios were generally higher for patients under 35. This study provides valuable insights into RPL etiology and potential targets for future research and clinical interventions.

Jacquelyn Roger, Feng Xie, Jean Costello, Alice Tang, Jay Liu, Tomiko Oskotsky, Sarah Woldemariam, Idit Kosti, Brian Le, Michael Snyder, Linda Giudice, Dara Torgerson, Gary Shaw, David Stevenson, Aleksandar Rajkovic, Nima Aghaeepour, M Glymour, Hakan Cakmak, Ruth Lathi, Marina Sirota