Feng Xiaoping, Wu Ping, Chen Fenghua, Xing Li, Zheng Yun, Shi Baomei
Department of Gynecology, Yiwu Central Hospital Jinhua 322000, Zhejiang, China.
Am J Transl Res. 2025 Apr 15;17(4):2927-2936. doi: 10.62347/UPWG5358. eCollection 2025.
To investigate the infection characteristics in ovarian cancer (OC) patients with concomitant vaginitis and identify the risk factors for the patients.
A retrospective analysis was conducted on the clinical data from 100 OC patients treated at the Yiwu Central Hospital from July 2019 to July 2024. Patients were assigned to the infection group (n=34) or non-infection group (n=66) based on the presence of vaginitis. Outcome measures included the infection rate and vaginal microbial characteristics of vaginitis, serum HE4 level, and concentrations of interleukin (IL)-4, IL-6, and IL-10 in vaginal secretions. Multivariate logistic regression analysis was performed to determine the influencing factors for vaginal infection in OC patients. Receiver operator characteristic (ROC) curve analysis was conducted to assess the predictive performance of independent risk factors for the occurrence of vaginal infections in OC patients.
Among the 100 OC patients, 34 cases (34%) had concomitant vaginitis. Among the 34 patients, the composition ratio of infection types from most to least common was as follows: 10 patients with vulvovaginal candidiasis (29.41%), 8 patients with bacterial vaginosis (23.53%), 7 patients with microbial imbalance (20.59%), 5 patients with mixed infections (14.71%), 3 patients with aerobic vaginitis (8.82%), and 1 patient with trichomonal vaginitis (2.94%). The two groups did not differ notably in HE4 levels (P=0.2366). However, IL-4, IL-6, and IL-10 levels were notably higher in the infection group compared to the non-infection one (P<0.0001). Multivariate logistic regression analysis identified education level, sexual frequency, self-vaginal douching, and history of vaginitis as independent factors influencing vaginal infection in OC patients, and the joint prediction of the vaginal infections with independent factors had an area under curve of 0.858, presenting better performance than a single factor.
Vulvovaginal candidiasis is the predominant type of vaginitis in OC patients, followed by BV. Education level, sexual frequency, self-vaginal douching, and a history of vaginitis are independent factors influencing vaginal infection in OC patients.
探讨合并阴道炎的卵巢癌(OC)患者的感染特征,并确定患者的危险因素。
对2019年7月至2024年7月在义乌市中心医院接受治疗的100例OC患者的临床资料进行回顾性分析。根据是否存在阴道炎将患者分为感染组(n = 34)和非感染组(n = 66)。观察指标包括阴道炎的感染率和阴道微生物特征、血清HE4水平以及阴道分泌物中白细胞介素(IL)-4、IL-6和IL-10的浓度。进行多因素logistic回归分析以确定OC患者阴道感染的影响因素。绘制受试者工作特征(ROC)曲线分析以评估OC患者阴道感染发生的独立危险因素的预测性能。
100例OC患者中,34例(34%)合并阴道炎。在这34例患者中,感染类型的构成比从高到低依次为:外阴阴道假丝酵母菌病10例(29.41%)、细菌性阴道病8例(23.53%)、微生物失衡7例(20.59%)、混合感染5例(14.71%)、需氧菌性阴道炎3例(8.82%)、滴虫性阴道炎1例(2.94%)。两组患者的HE4水平无显著差异(P = 0.2366)。然而,感染组的IL-4、IL-6和IL-10水平显著高于非感染组(P < 0.0001)。多因素logistic回归分析确定教育程度、性生活频率、自行阴道灌洗和阴道炎病史是影响OC患者阴道感染的独立因素,独立因素联合预测阴道感染的曲线下面积为0.858,表现优于单一因素。
外阴阴道假丝酵母菌病是OC患者中最主要的阴道炎类型,其次是细菌性阴道病。教育程度、性生活频率、自行阴道灌洗和阴道炎病史是影响OC患者阴道感染的独立因素。