Pelvic Organ Prolapse Is Associated with Osteoporosis in Korean Women: Analysis of the Health Insurance Review and Assessment Service National Patient Sample

Author:

Ko Yoo-RaORCID,Lee Sa-RaORCID,Kim Sung-Hoon,Chae Hee-DongORCID

Abstract

Background and Objectives: Pelvic organ prolapse (POP) and osteoporosis are major disease entities in older women that have the same epidemiology and might also have the same molecular physiology. However, few data have been reported on the relationship between POP and osteoporosis. We designed this study to examine the association between POP and osteoporosis in Korean women. Materials and Methods: We used the Health Insurance Review and Assessment Service 2015 to 2017 National Patient Sample (HIRA-NPS). A total of 4,368,141 individuals were included in this study, and a total of 842,228 individuals aged 50 years and above were included in the final analysis. POP patients were defined by the Korean Informative Classification of Diseases (KOICD) codes (KCD-7, N81, or N99.3) and patients who underwent a pelvic reconstructive procedure. The osteoporosis patients were defined by KOICD (KCD-7, R4113, R3620, R0402,) who were prescribed osteoporosis medication. A 1:10 age-stratified matching and chi-squared test were used for statistical analysis, and p < 0.05 was considered as significant. Results: A total of 7359 women were included in this analysis. Advanced POP was correlated with osteoporosis in Korean women aged 50 years and above in 2015–2017 (p < 0.0001). After adjusting for age, advanced POP was correlated with osteoporosis in the 2015, 2016, and 2017 dataset (p = 0.013, 0.0009, 0.0119, respectively). Conclusions: Advanced POP is correlated with osteoporosis in Korean women aged 50 years and above. Evaluation for osteoporosis and education about bone health can be especially important, even in relatively young women, aged 50–59 years, and POP patients.

Publisher

MDPI AG

Subject

General Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Identification of the genetic basis of sow pelvic organ prolapse;Frontiers in Genetics;2023-04-18

2. Healthcare Big Data-Based Artificial Intelligence Utilization Strategy;Health Insurance Review & Assessment Service Research;2021-11-30

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