Literature DB >> 31954153

Risk of pelvic organ prolapse treatment based on extended family history.

Kristina Allen-Brady1, Peggy A Norton2, Audra Jolyn Hill3, Kerry Rowe4, Lisa A Cannon-Albright5.   

Abstract

BACKGROUND: Family history of pelvic organ prolapse among first-degree relatives is an established risk factor for pelvic organ prolapse; however, consideration of the constellation of family history that extends to distant relationships allows for more accurate determination of risk and may improve pelvic organ prolapse risk prediction estimates.
OBJECTIVE: The purpose of this study was to assess risk for pelvic organ prolapse treatment based on varying family histories of pelvic organ prolapse and included number and types of affected relatives, ages of relatives at pelvic organ prolapse treatment, and whether the family history is of maternal or paternal origin. STUDY
DESIGN: This was a retrospective, population-based study that involved the Utah Population Database, which is a population resource that includes extensive genealogy information linked to medical records. The study population included 453,522 total women: 4628 women with a diagnosis of treated (surgical or pessary) pelvic organ prolapse and their 15,530 first-degree relatives; 33,782 second-degree relatives, and 66,469 third-degree relatives. We estimated relative risk of treated pelvic organ prolapse based on specific family history constellations.
RESULTS: Relative risk estimates increased with a family history of increasing numbers of treated first-degree relatives with pelvic organ prolapse (first-degree relatives, ≥1 [relative risk, 2.36; 95% confidence interval, 2.15-2.58], first-degree relatives, ≥2 [relative risk, 3.79; 95% confidence interval, 2.65-5.24], and first-degree relatives, ≥3 [relative risk, 6.26; 95% confidence interval, 1.29-18.30]). Having a family history of ≥3 affected third-degree relatives (eg, first cousins) and no affected first- or second-degree relatives was similar in risk to having 1 affected first-degree relative. Relative risk estimates decreased with increasing age of treatment for first-degree family members. Risks in individuals with a positive maternal family history for pelvic organ prolapse were consistently higher than risks in individuals with equivalent paternal family history, but paternal inheritance still played a role. Approximately 4% of the total studied female population was found to have a >2-fold risk of being treated for pelvic organ prolapse and is considered high-risk based on their family history.
CONCLUSION: We provide estimates for treated pelvic organ prolapse based on an extensive family history of pelvic organ prolapse using a large population-based sample. Risk for treated pelvic organ prolapse increased with increasing numbers of affected close and distant female relatives, earlier age of pelvic organ prolapse treatment in relatives, and maternal inheritance. These risk estimates may be useful for genetic studies and investigation of risk reduction strategies in those at highest risk for pelvic organ prolapse.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Utah Population Database; female; genealogy; inheritance; relative; treatment age

Year:  2020        PMID: 31954153     DOI: 10.1016/j.ajog.2019.12.271

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  3 in total

Review 1.  Mouse Knockout Models for Pelvic Organ Prolapse: a Systematic Review.

Authors:  Kristina Allen-Brady; Maria A T Bortolini; Margot S Damaser
Journal:  Int Urogynecol J       Date:  2022-01-28       Impact factor: 1.932

2.  Genome-Wide Association Study of Pelvic Organ Prolapse Using the Michigan Genomics Initiative.

Authors:  Caroline K Cox; Anita Pandit; Matthew Zawistowski; Diptavo Dutta; Goutham Narla; Carolyn W Swenson
Journal:  Female Pelvic Med Reconstr Surg       Date:  2021-08-01       Impact factor: 1.913

3.  Proteins in plasma as a potential biomarkers diagnostic for pelvic organ prolapse.

Authors:  Tao Wang; Yuqing Liu; Ling Mei; Tao Cui; Dongmei Wei; Yueyue Chen; Xiaoli Zhang; Linbo Gao; Shihong Zhang; Lanfang Guo; Pei Yang; Xiaoyu Niu
Journal:  Ann Transl Med       Date:  2021-07
  3 in total

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