河北医科大学学报 ›› 2021, Vol. 42 ›› Issue (8): 909-913.doi: 10.3969/j.issn.1007-3205.2021.08.010

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卵巢癌合并阴道炎患者阴道微生态特征及其影响因素分析

  

  1. 1.河南省焦作市第五人民医院检验科，河南 焦作 454000；2.河南省焦作市妇幼保健院检验科，河南 焦作 454000；
    3.江苏省盐城市第六人民医院病理科，江苏 盐城 224005；4.上海同济大学附属同济医院检验科，上海 200065
  • 出版日期:2021-08-25 发布日期:2021-08-27
  • 作者简介:张伟（1986-），男，河南焦作人，河南省焦作市第五人民医院主管检验师，医学学士，从事临床病原微生物学与免疫学检验研究。
  • 基金资助:
    国家自然科学基金（81802084）;焦作市科技计划项目(2020162)

Analysis of vaginal microecological characteristics and influencing factors in ovarian cancer patients with vaginitis

  1. 1.Department of Laboratory Medicine, the Fifth People′s Hospital of Jiaozuo City,Henan Province， 
    Jiaozuo 454000， China; 2. Department of Laboratory Medicine, Jiaozuo Maternal and Child 
    Health Hospital, Henan Province， Jiaozuo 454000， China; 3.Department of Pathology, 
    the Sixth People′s Hospital of Yancheng City, Jiangsu Province， Yancheng 
    224005， China; 4.Department of Laboratory Medicine, Tongji Hospital of 
    Tongji University, Shanghai 200065， China
  • Online:2021-08-25 Published:2021-08-27

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摘要： 目的  分析卵巢癌合并阴道炎患者的阴道微生态特征及影响因素，为临床预防及治疗提供参考。
方法  选取卵巢癌患者330例，分析合并阴道炎患者感染率及阴道微生态特征。根据是否合并阴道炎将患者分为感染组和非感染组，比较2组年龄、文化程度、基础疾病、避孕套使用、性生活频率、化疗、自行阴道冲洗、阴道炎史。采用多因素Logistic回归分析确定卵巢癌合并阴道炎的影响因素。
结果  330例卵巢癌患者中合并阴道炎117例（35.45%）。117例患者中感染类型占比前三为阴道假丝酵母菌病（vulvovaginal candidiasis,VVC）35例（29.91%）、细菌性阴道炎（bacterial vaginosis，BV）30例（25.64%）、微生态失调28例（23.93%）。感染组年龄≥50岁、有基础疾病、性生活频率≥2次/周、化疗、自行阴道冲洗、阴道炎史比例高于非感染组，文化程度专科以上、使用避孕套比例低于非感染组，差异有统计学意义（P＜0.05）。Logistic回归分析结果显示，年龄≥50岁、基础疾病、性生活频率≥2次/周、化疗、自行阴道冲洗、阴道炎史是卵巢癌合并阴道炎的危险因素（P＜0.05）,文化程度专科以上、使用避孕套是卵巢癌合并阴道炎的保护因素（P＜0.05）。
结论  卵巢癌合并阴道炎患者以VVC为主，BV次之。年龄、基础疾病、性生活频率、化疗是卵巢癌合并阴道炎的危险因素，文化程度专科以上、使用避孕套是卵巢癌合并阴道炎的保护因素。临床应依据感染特征及危险因素，纠正危险因素涉及的不良生活习惯，加强生理健康知识及疾病预防知识的普及。


关键词: 卵巢肿瘤, 阴道炎, 影响因素分析

Abstract: Objective  To analyze the vaginal microecological characteristics and influencing factors of patients with ovarian cancer complicated with vaginitis, thereby providing reference for clinical prevention and treatment. 
Methods  A total of 330 ovarian cancer patients admitted were selected. The infection rate and vaginal microecological characteristics of patients with vaginitis were analyzed. Patients were divided into infection group and non-infection group according to presence or absence of vaginitis. Age, education level, underlying diseases, condom use, sexual frequency, chemotherapy, self-vaginal irrigation and history of vaginitis were compared between the two groups. Multivariate Logistic regression analysis was used to determine the influencing factors of ovarian cancer with vaginitis. 
Results  Of 330 patients with ovarian cancer,117(35.45%) were complicated with vaginitis. The top three infection types in 117 patients were vaginal candidiasis(VVC) in 35 cases(29.91%). bacterial vaginosis(BV) in 30 cases(25.64%) and microecological disorders in 28 cases(23.93%). Age ≥50 years, underlying diseases, frequency of sexual life ≥2 times/week, chemotherapy, self-vaginal irrigation and history of vaginitis were higher in infection group than in non-infection group, while junior college education or higher and condom use ratio were lower in infection group than in non-infection group, suggesting significant difference(P＜0.05). Logistic regression analysis showed that age ≥50 years, underlying diseases, frequency of sexual life≥2 times/week, chemotherapy, self-vaginal irrigation and history of vaginitis were the risk factors of ovarian cancer complicated with vaginitis(P＜0.05). Junior college education or higher and condom use were the protective factors of ovarian cancer complicated with vaginitis(P＜0.05). 
Conclusion  Ovarian cancer patients with vaginitis mainly had VVC, followed by BV. Age, underlying diseases, frequency of sexual life and chemotherapy are the risk factors of ovarian cancer complicated with vaginitis. Junior college education and condom use are the protective factors of ovarian cancer complicated with vaginitis. In clinical practice, according to the characteristics of infection and risk factors, we should correct the poor living habits related to risk factors and strengthen the popularization of knowledge on physiological health and disease prevention.


Key words: ovarian neoplasms, vaginitis, influencing factor analysis

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