Uterine leiomyomas: Racial differences in severity, symptoms and age at diagnosis

Kristen H. Kjerulff, Patricia Langenberg, Jeffrey D. Seidman, Paul D. Stolley, Gay M. Guzinski

Research output: Contribution to journalArticlepeer-review

270 Scopus citations

Abstract

OBJECTIVE: To investigate racial differences in the presence of leiomyomas, condition severity, associated symptoms and age at diagnosis between black and white hysterectomy patients. STUDY DESIGN: This study included 409 black women and 836 white within aged 18 or older who underwent hysterectomy for noncancerous conditions at 28 hospitals in Maryland. Patients were interviewed shortly before surgery, and hospital records were abstracted after discharge. RESULTS: Overall, 89% of the black women and 59% of the white women were found to have leiomyomas. Among those with a confirmed presurgical diagnosis of leiomyomas, the average age at diagnosis was 37.5 years for black women and 41.6 for white women, and the average age at hysterectomy was 41.7 for black women and 44.6 for white women. The average uterine weight for black women with leiomyomas was 420.8 g and for white women was 319.1 g. Black women were more likely to have seven or more leiomyomas (57%) in comparison to white women (36%). Black women with leiomyomas were more likely to be anemic (56%) than white women (38%) and more likely to report having very severe or severe pelvic pain (59%) than white women (41%). CONCLUSION: Black women having hysterectomy had larger and more numerous leiomyomas, and the leiomyomas were more symptomatic than in white women despite a younger age at diagnosis and hysterectomy.

Original languageEnglish (US)
Pages (from-to)483-490
Number of pages8
JournalJournal of Reproductive Medicine for the Obstetrician and Gynecologist
Volume41
Issue number7
StatePublished - Jul 1996

All Science Journal Classification (ASJC) codes

  • Reproductive Medicine
  • Obstetrics and Gynecology

Fingerprint Dive into the research topics of 'Uterine leiomyomas: Racial differences in severity, symptoms and age at diagnosis'. Together they form a unique fingerprint.

Cite this