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2021年至2024年中国安徽省宫颈病变患者高危型人乳头瘤病毒(hrHPV)感染的危险因素:一项回顾性研究。

Risk factors for hrHPV infection with cervical lesions patient in Anhui Province of China from 2021 to 2024: A retrospective study.

作者信息

Hu Suxia, Li Yijing, Hu Miaomiao, Wang Zejin, Du Miaomiao

机构信息

Department of Clinical Laboratory, First Affiliated Hospital of Anhui University of Science and Technology, Huainan, Anhui Province, China.

School of Medicine, Anhui University of Science and Technology, Huainan, Anhui Province, China.

出版信息

Medicine (Baltimore). 2025 Jul 25;104(30):e43384. doi: 10.1097/MD.0000000000043384.

Abstract

The association between high-risk HPV (hrHPV) infection and cervical cancer or precancerous lesions has been extensively established, highlighting the importance of preventing hrHPV infection in cervical lesions patients. This study aims to investigate the risk factors associated with hrHPV infection in patients with cervical lesions and develop a nomogram model for predicting the risk of infection. The study involved 154 patients with cervical lesions, all of whom underwent human papillomavirus (HPV) gene typing. Retrospectively analyze the HPV genotyping and assess the prevalence of HPV infection in patients. The patients with cervical lesions were separated into hrHPV (n = 100) and non-hrHPV group (n = 54) based on the results of HPV genotyping tests. Univariate and multivariate regression analyses were employed to identify independent risk factors and develop nomogram model. The performance of the nomogram model were evaluated using ROC analysis. There were a total of 114 patients who tested positive for HPV, comprising 100 hrHPV and 14 low-risk HPV. The most common types of HPV are HPV 16 (65.00%), followed by HPV 52 (3.00%) and HPV 58 (3.00%). Univariate and multivariate analyses showed that age of first sexual intercourse (odds ratio [OR] = 3.312), miscarriage (OR = 7.115), menopause (OR = 2.508), cervicitis (OR = 2.710), number of sexual partners (OR = 5.259) were identified as significant risk factors for hrHPV infection. The nomogram model shows an area under the curve value of 0.861 (95% confidence interval = 0.795-0.927), with a sensitivity of 95.6% and specificity of 92.3%. These findings indicate the significant practical value of the clinical risk nomogram model. Age of first sexual intercourse, miscarriage, menopause, cervicitis, and number of sexual partners were identified as risk factors for hrHPV infection in patients with cervical lesions. This nomogram model holds significant clinical value.

摘要

高危型人乳头瘤病毒(hrHPV)感染与宫颈癌或癌前病变之间的关联已得到广泛证实,这凸显了预防宫颈病变患者感染hrHPV的重要性。本研究旨在调查宫颈病变患者中与hrHPV感染相关的危险因素,并建立一个预测感染风险的列线图模型。该研究纳入了154例宫颈病变患者,所有患者均接受了人乳头瘤病毒(HPV)基因分型检测。回顾性分析HPV基因分型并评估患者中HPV感染的患病率。根据HPV基因分型检测结果,将宫颈病变患者分为hrHPV组(n = 100)和非hrHPV组(n = 54)。采用单因素和多因素回归分析来确定独立危险因素并建立列线图模型。使用ROC分析评估列线图模型的性能。共有114例患者HPV检测呈阳性,其中包括100例hrHPV和14例低危型HPV。最常见的HPV类型是HPV 16(65.00%),其次是HPV 52(3.00%)和HPV 58(3.00%)。单因素和多因素分析显示,首次性交年龄(比值比[OR]=3.312)、流产(OR = 7.115)、绝经(OR = 2.508)、宫颈炎(OR = 2.710)、性伴侣数量(OR = 5.259)被确定为hrHPV感染的显著危险因素。列线图模型的曲线下面积值为0.861(95%置信区间 = 0.795-0.927),灵敏度为95.6%,特异度为92.3%。这些发现表明临床风险列线图模型具有显著的实用价值。首次性交年龄、流产、绝经、宫颈炎和性伴侣数量被确定为宫颈病变患者hrHPV感染的危险因素。该列线图模型具有重要的临床价值。

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