Classification of patients with adenomyosis based on clusters of coexisting diseases: An illustration of clinical diversity

IF 2.3 4区医学 Q2 OBSTETRICS & GYNECOLOGY

European journal of obstetrics, gynecology, and reproductive biology Pub Date : 2026-02-20 Epub Date: 2026-01-14 DOI:10.1016/j.ejogrb.2026.114962

Xin Wang , YuDan Fu , RuoXi Zhao , Yong Liu, RuiHua Zhao

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引用次数: 0

Abstract

Objective

Adenomyosis (AM) is a complex disease with poorly understood pathogenesis and considerable clinical phenotypic heterogeneity. Cluster analysis of coexisting diseases may help identify distinct clinical subtypes of AM and explore the potential association between AM and its coexisting diseases.

Methods

In this study, data were extracted from a cross-sectional questionnaire. AM patients were clustered by Ward’s method according to the coexisting diseases. Cluster of patients with similar coexisting diseases pattern was captured and characterized. Subsequently, the clinical characteristics of these clusters were compared.

Results

Data from 2080 AM patients were collected. Sixteen types of coexisting diseases were included in the cluster analysis, resulting in six distinct clusters: cluster 1 (leiomyoma of the uterus); cluster 2 (endometrial lesions); cluster 3 (benign breast and thyroid masses); cluster 4 (pelvic inflammatory disease); cluster 5 (benign ovarian cyst); cluster 6 (low burden of comorbidity).

Conclusion

Identifying patient clusters with similar coexisting diseases pattern can improve our understanding of the multidimensional nature of AM, reveal the complex inter-disease relationship, aid in early screening for specific diseases in particular subgroups, support the identification of risk factors for AM prevention, and guide the development of tailored management strategies for different subgroups.

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基于共存疾病群的子宫腺肌症患者分类：临床多样性的例证

目的子宫腺肌症（AM）是一种复杂的疾病，发病机制尚不清楚，临床表型异质性较大。对共存疾病的聚类分析有助于识别AM的不同临床亚型，并探索AM与其共存疾病之间的潜在关联。方法本研究采用横断面调查问卷。采用Ward 's法将AM患者按共存疾病进行聚类。捕获具有相似共存疾病模式的患者群并对其进行特征描述。随后，比较这些群集的临床特征。结果共收集了2080例AM患者的数据。16种共存的疾病被纳入聚类分析，得出6个不同的聚类：聚类1（子宫平滑肌瘤）；集群2（子宫内膜病变）；第三组（乳腺和甲状腺良性肿块）；第4组（盆腔炎）；第五组（良性卵巢囊肿）；第6组（共病负担低）。结论识别具有相似疾病共存模式的患者群，可以提高我们对AM的多维性认识，揭示复杂的疾病间关系，有助于对特定亚组特定疾病的早期筛查，支持识别AM预防的危险因素，指导制定针对不同亚组的针对性管理策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

European journal of obstetrics, gynecology, and reproductive biology 医学-妇产科学

CiteScore

4.60

自引率

3.80%

发文量

898

审稿时长

8.3 weeks

期刊介绍： The European Journal of Obstetrics & Gynecology and Reproductive Biology is the leading general clinical journal covering the continent. It publishes peer reviewed original research articles, as well as a wide range of news, book reviews, biographical, historical and educational articles and a lively correspondence section. Fields covered include obstetrics, prenatal diagnosis, maternal-fetal medicine, perinatology, general gynecology, gynecologic oncology, uro-gynecology, reproductive medicine, infertility, reproductive endocrinology, sexual medicine and reproductive ethics. The European Journal of Obstetrics & Gynecology and Reproductive Biology provides a forum for scientific and clinical professional communication in obstetrics and gynecology throughout Europe and the world.