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Genotyping and development of recurrence prediction model for HPV infection in male patients with condyloma acuminatum

Authors :
Yuping MEN
Xiaoyan WANG
Qingshan SHI
Quan YE
Caijuan DU
Yujie LI
Source :
Pifu-xingbing zhenliaoxue zazhi, Vol 31, Iss 7, Pp 445-451 (2024)
Publication Year :
2024
Publisher :
editoiral office of Journal of Diagnosis and Therapy on Dermato-venereology, 2024.

Abstract

Objective To investigate the genotypes of human papillomavirus (HPV) infection in male patients with condyloma acuminatum (CA) and to develop a model for predicting recurrence risk. Methods Wart samples were collected from 724 CA patients at Jiaozhou Branch of Shanghai East Hospital, Tongji University from January 2021 to June 2023. Human papillomavirus DNA was extracted and genomic DNA was genotyped. Multivariate logistic regression analysis was used to analyze the risk factors for recurrence within 6 months after being cured with physiotherapy, and a prediction model for recurrence risk was developed. Receiver operating characteristic (ROC) curves was used to verify the prediction value of the prediction model. Results Among 724 CA patients, the main genotypes were HPV 6, 11, 16, and 42. Multivariate logistic regression analysis showed that a disease course of ≥ 6 months, high-risk HPV infection, multiple HPV infections, and the number of warts ≥ 5 were independent risk factors for recurrence (P13.00, the sensitivity and specificity were 71.39% and 83.01%, respectively, and the area under the curve (AUC) was 0.863. Conclusions The main genotypes of HPV infection are HPV 6, 11, 16, and 42 in male CA patients. The prediction model for recurrence risk factors has high predictive value for predicting recurrence of CA.

Details

Language :
Chinese
ISSN :
16748468
Volume :
31
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Pifu-xingbing zhenliaoxue zazhi
Publication Type :
Academic Journal
Accession number :
edsdoj.23776f0beee545378f7d37fd28e86fb5
Document Type :
article
Full Text :
https://doi.org/10.3969/j.issn.1674-8468.2024.07.001