Michael J Bray1, Eric S Torstenson1, Sarah H Jones2, Todd L Edwards3, Digna R Velez Edwards4. 1. Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States. 2. Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, United States. 3. Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States; Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, United States; Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, United States. 4. Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States; Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Obstetrics and Gynecology, Vanderbilt University, Nashville, TN, United States. Electronic address: digna.r.velez.edwards@Vanderbilt.Edu.
Abstract
OBJECTIVE: To evaluate individual characteristics of women with fibroids in relation to fibroid size and number. METHODS: This cross-sectional study involved 2302 women (black and white, age range 18-87) with image- or surgery-confirmed fibroids from the Synthetic Derivative, a database of de-identified demographic and clinical information from patient electronic health records (EHRs) from the Vanderbilt University Medical Center. We performed multivariate regression analyses on the following outcomes: volume of largest fibroid, largest dimension of all fibroids, and number of fibroids (single vs multiple). Candidate risk factors included age at diagnosis, body mass index (BMI), race, type 2 diabetes status, and number of living children (a proxy for parity). We assessed potential effect measure modification by race and both age and BMI using a likelihood ratio test. RESULTS: Black race was strongly associated with having multiple fibroids (adjusted odds ratio [aOR]: 1.83, 95% confidence interval [CI]: 1.49, 2.24) and larger fibroid volume (adjusted beta: 1.77, 95% CI: 1.38, 2.27) and greater largest dimension (adjusted beta: 1.28, 95% CI: 1.18, 1.38). Having multiple fibroids was most strongly associated with ages 43-47 (aOR = 3.37, 95% CI: 2.55, 4.46) compared with the youngest age group (ages 18-36). Having a larger number of living children was associated with having single a fibroid (aOR: 0.88, 95% CI: 0.78, 0.99). CONCLUSIONS: Our findings suggest that different underlying etiologies are involved for women developing single versus multiple fibroids and small versus large fibroids. Studies are needed of the mechanisms by which these characteristics influence fibroid formation and growth.
OBJECTIVE: To evaluate individual characteristics of women with fibroids in relation to fibroid size and number. METHODS: This cross-sectional study involved 2302 women (black and white, age range 18-87) with image- or surgery-confirmed fibroids from the Synthetic Derivative, a database of de-identified demographic and clinical information from patient electronic health records (EHRs) from the Vanderbilt University Medical Center. We performed multivariate regression analyses on the following outcomes: volume of largest fibroid, largest dimension of all fibroids, and number of fibroids (single vs multiple). Candidate risk factors included age at diagnosis, body mass index (BMI), race, type 2 diabetes status, and number of living children (a proxy for parity). We assessed potential effect measure modification by race and both age and BMI using a likelihood ratio test. RESULTS: Black race was strongly associated with having multiple fibroids (adjusted odds ratio [aOR]: 1.83, 95% confidence interval [CI]: 1.49, 2.24) and larger fibroid volume (adjusted beta: 1.77, 95% CI: 1.38, 2.27) and greater largest dimension (adjusted beta: 1.28, 95% CI: 1.18, 1.38). Having multiple fibroids was most strongly associated with ages 43-47 (aOR = 3.37, 95% CI: 2.55, 4.46) compared with the youngest age group (ages 18-36). Having a larger number of living children was associated with having single a fibroid (aOR: 0.88, 95% CI: 0.78, 0.99). CONCLUSIONS: Our findings suggest that different underlying etiologies are involved for women developing single versus multiple fibroids and small versus large fibroids. Studies are needed of the mechanisms by which these characteristics influence fibroid formation and growth.
Authors: Eden R Cardozo; Andrew D Clark; Nicole K Banks; Melinda B Henne; Barbara J Stegmann; James H Segars Journal: Am J Obstet Gynecol Date: 2011-12-11 Impact factor: 8.661
Authors: Donna D Baird; Greg Travlos; Ralph Wilson; David B Dunson; Michael C Hill; Aimee A D'Aloisio; Stephanie J London; Joel M Schectman Journal: Epidemiology Date: 2009-07 Impact factor: 4.822
Authors: Anne Zimmermann; David Bernuit; Christoph Gerlinger; Matthias Schaefers; Katharina Geppert Journal: BMC Womens Health Date: 2012-03-26 Impact factor: 2.809