Analysis of dysmenorrhea-related factors in adenomyosis and development of a risk prediction model.

IF 2.1 3区 医学 Q2 OBSTETRICS & GYNECOLOGY Archives of Gynecology and Obstetrics Pub Date : 2025-03-17 DOI:10.1007/s00404-025-07967-y
Yudan Fu, Xin Wang, Xinchun Yang, Ruihua Zhao
{"title":"Analysis of dysmenorrhea-related factors in adenomyosis and development of a risk prediction model.","authors":"Yudan Fu, Xin Wang, Xinchun Yang, Ruihua Zhao","doi":"10.1007/s00404-025-07967-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To explore factors related to dysmenorrhea in adenomyosis and construct a risk prediction model.</p><p><strong>Methods: </strong>A cross-sectional survey involving 1636 adenomyosis patients from 37 hospitals nationwide (November 2019-February 2022) was conducted. Data on demographics, disease history, menstrual and reproductive history, and treatment history was collected.Patients were categorized into dysmenorrhea and non-dysmenorrhea groups. Multivariate logistic regression analyzed factors influencing dysmenorrhea, and a risk prediction model was created using a nomogram. The model's performance was evaluated through ROC curve analysis, C-index, Hosmer-Lemeshow test, and bootstrap method The nomogram function was used to establish a nomogram model. The model was evaluated using the area under the ROC curve (AUC), C-index, Hosmer-Lemeshow goodness-of-fit test, and bootstrap method. Patients were scored based on the nomogram, and high-risk groups were delineated.</p><p><strong>Results: </strong>Dysmenorrhea was present in 61.31% (1003/1636) of the patients. Univariate analysis showed significant differences (P < 0.05) between groups in age at onset, course of disease, oligomenorrhea, menorrhagia, number of deliveries, pelvic inflammatory disease, family history of adenomyosis, exercise, and excessive menstrual fatigue. Significant factors included menorrhagia, multiple deliveries, pelvic inflammatory disease, and family history of adenomyosis as risk factors. Older age at onset, oligomenorrhea, and exercise were identified as protective factors. The model's accuracy, discrimination, and reliability were acceptable, and a risk score > 88.5 points indicated a high-risk group.</p><p><strong>Conclusion: </strong>Dysmenorrhea is prevalent among adenomyosis patients. Identifying and mitigating risk factors, while leveraging protective factors, can aid in prevention and management. The developed model effectively predicts dysmenorrhea risk, facilitating early intervention and treatment.</p>","PeriodicalId":8330,"journal":{"name":"Archives of Gynecology and Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Gynecology and Obstetrics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00404-025-07967-y","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To explore factors related to dysmenorrhea in adenomyosis and construct a risk prediction model.

Methods: A cross-sectional survey involving 1636 adenomyosis patients from 37 hospitals nationwide (November 2019-February 2022) was conducted. Data on demographics, disease history, menstrual and reproductive history, and treatment history was collected.Patients were categorized into dysmenorrhea and non-dysmenorrhea groups. Multivariate logistic regression analyzed factors influencing dysmenorrhea, and a risk prediction model was created using a nomogram. The model's performance was evaluated through ROC curve analysis, C-index, Hosmer-Lemeshow test, and bootstrap method The nomogram function was used to establish a nomogram model. The model was evaluated using the area under the ROC curve (AUC), C-index, Hosmer-Lemeshow goodness-of-fit test, and bootstrap method. Patients were scored based on the nomogram, and high-risk groups were delineated.

Results: Dysmenorrhea was present in 61.31% (1003/1636) of the patients. Univariate analysis showed significant differences (P < 0.05) between groups in age at onset, course of disease, oligomenorrhea, menorrhagia, number of deliveries, pelvic inflammatory disease, family history of adenomyosis, exercise, and excessive menstrual fatigue. Significant factors included menorrhagia, multiple deliveries, pelvic inflammatory disease, and family history of adenomyosis as risk factors. Older age at onset, oligomenorrhea, and exercise were identified as protective factors. The model's accuracy, discrimination, and reliability were acceptable, and a risk score > 88.5 points indicated a high-risk group.

Conclusion: Dysmenorrhea is prevalent among adenomyosis patients. Identifying and mitigating risk factors, while leveraging protective factors, can aid in prevention and management. The developed model effectively predicts dysmenorrhea risk, facilitating early intervention and treatment.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
分析子宫腺肌症患者痛经的相关因素并建立风险预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.70
自引率
15.40%
发文量
493
审稿时长
1 months
期刊介绍: Founded in 1870 as "Archiv für Gynaekologie", Archives of Gynecology and Obstetrics has a long and outstanding tradition. Since 1922 the journal has been the Organ of the Deutsche Gesellschaft für Gynäkologie und Geburtshilfe. "The Archives of Gynecology and Obstetrics" is circulated in over 40 countries world wide and is indexed in "PubMed/Medline" and "Science Citation Index Expanded/Journal Citation Report". The journal publishes invited and submitted reviews; peer-reviewed original articles about clinical topics and basic research as well as news and views and guidelines and position statements from all sub-specialties in gynecology and obstetrics.
期刊最新文献
Analysis of dysmenorrhea-related factors in adenomyosis and development of a risk prediction model. Correction to: Evaluation of endocervical curettage (ECC) in colposcopy for detecting cervical intraepithelial lesions. Correction to: Favorable outcome after fetal swallowing of a Somatex® intrauterine shunt. Healthy lifestyle behaviors and gynecological cancer awareness in women academicians: a descriptive and correlational study. Investigation of the female genital tract microbiome and its association with hydrosalpinx in women undergoing salpingectomy.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1