BACKGROUND: We completed an analysis of the factors predicting the persistence of high risk (HR) HPV infections in women participating in a multicenter screening trial in three NIS countries. METHODS: The 543 baseline HR HPV-positive women included in this analysis are derived from a sub-cohort of 887 women who were prospectively followed-up for a mean of 21.6 months (range: 0.5-42.9) as a part of a multi-center screening study in three NIS countries (the NIS cohort study; n = 3,187 women). Of these 543 women, 273 showed persistent HR-HPV in serial Hybrid Capture II (HCII) testing during the follow-up (Group 1), whereas 270 women cleared their infection (Group 2). These two groups were compared with their epidemiological, clinical, and virological data (HCII, PCR) to disclose the factors predicting persistent HR-HPV infection. RESULTS: Women with persistent HR-HPV infections were significantly younger (27.3 yrs) than those who cleared their infection (29.1 yrs) (p = 0.006), and their follow-up time was shorter; 14.1 and 21 months, respectively (p = 0.0001). Both variables were treated as confounders in the multivariate analyses. Of the 66 recorded epidemiological variables, only being a current smoker proved to be an independent predictor (OR 1.693; 95% CI 1.114-2.573; p=0.014). Baseline colposcopy, biopsy or Pap smear did not predict HPV persistence, whereas an incident or persistent abnormal Pap during the follow-up were independent predictors in a multivariate model (p = 0.005), together with the high viral load (HCII RLU/CO at 100 pg/ml cut-off), and HR HPV positive PCR test (p = 0.0001). When all significant variables were entered in the regression model, only the follow-up time (OR 0.950, 95% CI 0.924-0.976; p = 0.0001) and HR-HPV positive PCR (OR 4.169, 95% CI 1.741-9.987; p = 0.001), remained independent predictors. CONCLUSIONS: While several factors were related to HR-HPV persistence in univariate analysis and when adjusted for age and follow-up time as confounders, the only independent predictors in the multivariate regression model were follow-up time and HR-HPV positive PCR. Clearly more data are needed on type-specific persistence and HPV integration as its predictors.
BACKGROUND: We completed an analysis of the factors predicting the persistence of high risk (HR) HPV infections in women participating in a multicenter screening trial in three NIS countries. METHODS: The 543 baseline HR HPV-positive women included in this analysis are derived from a sub-cohort of 887 women who were prospectively followed-up for a mean of 21.6 months (range: 0.5-42.9) as a part of a multi-center screening study in three NIS countries (the NIS cohort study; n = 3,187 women). Of these 543 women, 273 showed persistent HR-HPV in serial Hybrid Capture II (HCII) testing during the follow-up (Group 1), whereas 270 women cleared their infection (Group 2). These two groups were compared with their epidemiological, clinical, and virological data (HCII, PCR) to disclose the factors predicting persistent HR-HPV infection. RESULTS:Women with persistent HR-HPV infections were significantly younger (27.3 yrs) than those who cleared their infection (29.1 yrs) (p = 0.006), and their follow-up time was shorter; 14.1 and 21 months, respectively (p = 0.0001). Both variables were treated as confounders in the multivariate analyses. Of the 66 recorded epidemiological variables, only being a current smoker proved to be an independent predictor (OR 1.693; 95% CI 1.114-2.573; p=0.014). Baseline colposcopy, biopsy or Pap smear did not predict HPV persistence, whereas an incident or persistent abnormal Pap during the follow-up were independent predictors in a multivariate model (p = 0.005), together with the high viral load (HCII RLU/CO at 100 pg/ml cut-off), and HR HPV positive PCR test (p = 0.0001). When all significant variables were entered in the regression model, only the follow-up time (OR 0.950, 95% CI 0.924-0.976; p = 0.0001) and HR-HPV positive PCR (OR 4.169, 95% CI 1.741-9.987; p = 0.001), remained independent predictors. CONCLUSIONS: While several factors were related to HR-HPV persistence in univariate analysis and when adjusted for age and follow-up time as confounders, the only independent predictors in the multivariate regression model were follow-up time and HR-HPV positive PCR. Clearly more data are needed on type-specific persistence and HPV integration as its predictors.
Authors: Tsung-chieh Jane Fu; Long Fu Xi; Ayaka Hulbert; James P Hughes; Qinghua Feng; Stephen M Schwartz; Stephen E Hawes; Laura A Koutsky; Rachel L Winer Journal: Int J Cancer Date: 2015-05-29 Impact factor: 7.396
Authors: Anne F Rositch; Jill Koshiol; Michael G Hudgens; Hilda Razzaghi; Danielle M Backes; Jeanne M Pimenta; Eduardo L Franco; Charles Poole; Jennifer S Smith Journal: Int J Cancer Date: 2012-10-11 Impact factor: 7.396
Authors: Helen Trottier; Salaheddin Mahmud; José Carlos M Prado; Joao S Sobrinho; Maria C Costa; Thomas E Rohan; Luisa L Villa; Eduardo L Franco Journal: J Infect Dis Date: 2008-05-15 Impact factor: 5.226
Authors: Rachel L Winer; Long Fu Xi; Zhenping Shen; Joshua E Stern; Laura Newman; Qinghua Feng; James P Hughes; Laura A Koutsky Journal: Int J Cancer Date: 2013-10-18 Impact factor: 7.396
Authors: Kari Syrjänen; Irena Shabalova; Nicolay Petrovichev; Vladimir Kozachenko; Tatjana Zakharova; Julia Pajanidi; Jurij Podistov; Galina Chemeris; Larisa Sozaeva; Elena Lipova; Irena Tsidaeva; Olga Ivanchenko; Alla Pshepurko; Sergej Zakharenko; Raisa Nerovjna; Ludmila Kljukina; Oksana Erokhina; Marina Branovskaja; Maritta Nikitina; Valerija Grunberga; Alexandr Grunberg; Anna Juschenko; Rosa Santopietro; Marcella Cintorino; Piero Tosi; Stina Syrjänen Journal: Eur J Epidemiol Date: 2007-09-08 Impact factor: 12.434
Authors: P M Miranda; N N T Silva; B C V Pitol; I D C G Silva; J L Lima-Filho; R F Carvalho; R C Stocco; W Beçak; A A Lima Journal: Biomed Res Int Date: 2013-11-05 Impact factor: 3.411