Enhancing uterine fibroid research through utilization of biorepositories linked to electronic medical record data

Lani Feingold-Link, Todd L. Edwards, Sarah Jones, Katherine E. Hartmann, Digna R. Velez Edwards

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


Background: Uterine leiomyomata (fibroids) affect up to 77% of women by menopause and account for $9.4 billion in yearly healthcare costs. Most studies rely on self-reported diagnosis, which may result in misclassification of controls since as many as 50% of cases are asymptomatic and thus undiagnosed. Our objective was to evaluate the performance and accuracy of a fibroid phenotyping algorithm constructed from electronic medical record (EMR) data, limiting to subjects with pelvic imaging.

Methods: Our study population includes women from a clinical population at Vanderbilt University Medical Center (2008-2012). Analyses were restricted to women 18 years and older with at least one fibroid diagnosis confirmed by imaging for cases or at least two separate pelvic imaging procedures without a diagnosis for controls. We randomly reviewed 218 records to evaluate the accuracy of our algorithm and assess the indications for pelvic imaging. Participant characteristics and indications for imaging were compared between cases and controls in unadjusted and adjusted logistic regression analyses.

Results: Our algorithm had a positive predictive value of 96% and negative predictive value of 98%. Increasing age (odds ratio=1.05, 95% confidence interval 1.03-1.08) and Black race (odds ratio=2.15, 95% confidence interval 1.18-3.94) were identified as risk factors for fibroids. The most common indications for imaging in both cases and controls were pain, bleeding, and reproductive factors, and the most common imaging modality was a pelvic ultrasound.

Conclusions: These data suggest that using biorepositories linked to EMR data is a feasible way to identify populations of imaged women that facilitate investigations of fibroid risk factors.

Original languageEnglish
Pages (from-to)1027-1032
Number of pages6
JournalJournal of Women's Health
Issue number12
StatePublished - Dec 1 2014

Bibliographical note

Publisher Copyright:
© Copyright 2014, Mary Ann Liebert, Inc. 2014.

ASJC Scopus subject areas

  • General Medicine


Dive into the research topics of 'Enhancing uterine fibroid research through utilization of biorepositories linked to electronic medical record data'. Together they form a unique fingerprint.

Cite this