Cardiometabolic Risk Factors and Benign Gynecologic Disorders

Obstet Gynecol Surv. 2019 Nov;74(11):661-673. doi: 10.1097/OGX.0000000000000718.

Abstract

Importance: While it has long been known that polycystic ovarian syndrome is associated with cardiometabolic risk factors (CMRFs), there is emerging evidence that other benign gynecologic conditions, such as uterine leiomyomas, endometriosis, and even hysterectomy without oophorectomy, can be associated with CMRFs. Understanding the evidence and mechanisms of these associations can lead to novel preventive and therapeutic interventions.

Objective: This article discusses the evidence and the potential mechanisms mediating the association between CMRFs and benign gynecologic disorders.

Evidence acquisition: We reviewed PubMed, EMBASE, Scopus, and Google Scholar databases to obtain plausible clinical and biological evidence, including hormonal, immunologic, inflammatory, growth factor-related, genetic, epigenetic, atherogenic, vitamin D-related, and dietary factors.

Results: Cardiometabolic risk factors appear to contribute to uterine leiomyoma pathogenesis. For example, obesity can modulate leiomyomatous cellular proliferation and extracellular matrix deposition through hyperestrogenic states, chronic inflammation, insulin resistance, and adipokines. On the other hand, endometriosis has been shown to induce systemic inflammation, thereby increasing cardiometabolic risks, for example, through inducing atherosclerotic changes.

Conclusion and relevance: Clinical implications of these associations are 2-fold. First, screening and early modification of CMRFs can be part of a preventive strategy for uterine leiomyomas and hysterectomy. Second, patients diagnosed with uterine leiomyomas or endometriosis can be screened and closely followed for CMRFs and cardiovascular disease.

Publication types

  • Review

MeSH terms

  • Cardiovascular Diseases* / epidemiology
  • Cardiovascular Diseases* / metabolism
  • Cardiovascular Diseases* / prevention & control
  • Correlation of Data
  • Female
  • Genital Diseases, Female* / epidemiology
  • Genital Diseases, Female* / metabolism
  • Genital Diseases, Female* / surgery
  • Humans
  • Preventive Health Services*
  • Risk Factors