OBJECTIVE: To evaluate the effect of multiple human papillomavirus (HPV) infection on the prevalence of cervical intraepithelial neoplasia (CIN) among women undergoing colposcopy following a cytological diagnosis of atypical squamous cells of undetermined significance (ASCUS) or low grade squamous intraepithelial lesions (LSIL). METHODS: HPV type-specific sequences of 15 high-risk and 10 low risk types were detected by the line probe, INNO-LiPA HPV genotyping assay before colposcopic examination and targeted biopsies. Multinomial logistic regression was used to evaluate the effect of multiple infection on pathologic outcome adjusting for confounders. RESULTS: The prevalence of HPV infection in the 1218 women enrolled was 69.9% (851/1218). HPV 16 (37.4%), 31 (26.1%), 51 (17.4%), 52 (15.7%) and 18 (14%) were the commonest viral types identified. Overall, the rates of multiple infection were 22.5% (153/680) among subjects with negative colposcopy/biopsy, 63.6% (218/343) and 79.5% (155/195) among those with CIN 1 and CIN>or=2, respectively (p for trend <.001). The corresponding rates among subjects uninfected by HPV 16 or 18 were 13.5% (77/572), 57.4% (112/195) and 62% (48/77), respectively (p for trend <.001). In multinomial logistic regression, the odds ratio of CIN>or=2 in multiple high risk as compared to single high risk HPV infection was 4.33 (95% confidence intervals=2.32-7.14) in the overall population and 2.76 (95% confidence intervals=1.36-5.59) among women uninfected by HPV 16 or 18. CONCLUSIONS: Multiple HPV infection is a significant risk factor for CIN>or=2 among women undergoing colposcopy because of ASCUS/LSIL.
OBJECTIVE: To evaluate the effect of multiple human papillomavirus (HPV) infection on the prevalence of cervical intraepithelial neoplasia (CIN) among women undergoing colposcopy following a cytological diagnosis of atypical squamous cells of undetermined significance (ASCUS) or low grade squamous intraepithelial lesions (LSIL). METHODS:HPV type-specific sequences of 15 high-risk and 10 low risk types were detected by the line probe, INNO-LiPA HPV genotyping assay before colposcopic examination and targeted biopsies. Multinomial logistic regression was used to evaluate the effect of multiple infection on pathologic outcome adjusting for confounders. RESULTS: The prevalence of HPV infection in the 1218 women enrolled was 69.9% (851/1218). HPV 16 (37.4%), 31 (26.1%), 51 (17.4%), 52 (15.7%) and 18 (14%) were the commonest viral types identified. Overall, the rates of multiple infection were 22.5% (153/680) among subjects with negative colposcopy/biopsy, 63.6% (218/343) and 79.5% (155/195) among those with CIN 1 and CIN>or=2, respectively (p for trend <.001). The corresponding rates among subjects uninfected by HPV 16 or 18 were 13.5% (77/572), 57.4% (112/195) and 62% (48/77), respectively (p for trend <.001). In multinomial logistic regression, the odds ratio of CIN>or=2 in multiple high risk as compared to single high risk HPV infection was 4.33 (95% confidence intervals=2.32-7.14) in the overall population and 2.76 (95% confidence intervals=1.36-5.59) among women uninfected by HPV 16 or 18. CONCLUSIONS:Multiple HPV infection is a significant risk factor for CIN>or=2 among women undergoing colposcopy because of ASCUS/LSIL.
Authors: Alexandra Bukowski; Cathrine Hoyo; Michael G Hudgens; Wendy R Brewster; Fidel Valea; Rex C Bentley; Adriana C Vidal; Rachel L Maguire; John W Schmitt; Susan K Murphy; Kari E North; Jennifer S Smith Journal: Cancer Epidemiol Biomarkers Prev Date: 2022-08-02 Impact factor: 4.090
Authors: L Del Río-Ospina; S C Soto-DE León; M Camargo; R Sánchez; D A Moreno-Pérez; A Pérez-Prados; M E Patarroyo; M A Patarroyo Journal: Epidemiol Infect Date: 2017-02-10 Impact factor: 4.434
Authors: Devendra Bansal; Asha A Elmi; Sini Skariah; Pascale Haddad; Laith J Abu-Raddad; Aysha H Al Hamadi; Nady Mohamed-Nady; Nahla M Affifi; Randa Ghedira; Elham Hassen; Asma A J Al-Thani; Afaf A H M Al-Ansari; Ali A Sultan Journal: J Transl Med Date: 2014-11-26 Impact factor: 5.531
Authors: Hyun-Woong Cho; Jin Hwa Hong; Kyung Jin Min; Yung-Taek Ouh; Seok Ju Seong; Jun Hye Moon; Seong Hwan Cho; Jae Kwan Lee Journal: Cancer Res Treat Date: 2020-12-24 Impact factor: 4.679