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Factors predicting persistence of high-risk human papillomavirus (HPV) infections in women prospectively followed-up in three New Independent States (NIS) of the former Soviet Union.
Eur J Gynaecol Oncol. 2005; 26(5):491-8.EJ

Abstract

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+Show Affiliations

Department of Oral Pathology, Institute of Dentistry, University of Turku, Finland.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Multicenter Study
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

16285563

Citation

Syrjänen, S, et al. "Factors Predicting Persistence of High-risk Human Papillomavirus (HPV) Infections in Women Prospectively Followed-up in Three New Independent States (NIS) of the Former Soviet Union." European Journal of Gynaecological Oncology, vol. 26, no. 5, 2005, pp. 491-8.
Syrjänen S, Shabalova I, Petrovichev N, et al. Factors predicting persistence of high-risk human papillomavirus (HPV) infections in women prospectively followed-up in three New Independent States (NIS) of the former Soviet Union. Eur J Gynaecol Oncol. 2005;26(5):491-8.
Syrjänen, S., Shabalova, I., Petrovichev, N., Kozachenko, V., Zakharova, T., Pajanidi, J., Podistov, J., Chemeris, G., Sozaeva, L., Lipova, E., Tsidaeva, I., Ivanchenko, O., Pshepurko, A., Zakharenko, S., Nerovjna, R., Kljukina, L., Erokhina, O., Branovskaja, M., Nikitina, M., ... Syrjänen, K. (2005). Factors predicting persistence of high-risk human papillomavirus (HPV) infections in women prospectively followed-up in three New Independent States (NIS) of the former Soviet Union. European Journal of Gynaecological Oncology, 26(5), 491-8.
Syrjänen S, et al. Factors Predicting Persistence of High-risk Human Papillomavirus (HPV) Infections in Women Prospectively Followed-up in Three New Independent States (NIS) of the Former Soviet Union. Eur J Gynaecol Oncol. 2005;26(5):491-8. PubMed PMID: 16285563.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Factors predicting persistence of high-risk human papillomavirus (HPV) infections in women prospectively followed-up in three New Independent States (NIS) of the former Soviet Union. AU - Syrjänen,S, AU - Shabalova,I, AU - Petrovichev,N, AU - Kozachenko,V, AU - Zakharova,T, AU - Pajanidi,J, AU - Podistov,J, AU - Chemeris,G, AU - Sozaeva,L, AU - Lipova,E, AU - Tsidaeva,I, AU - Ivanchenko,O, AU - Pshepurko,A, AU - Zakharenko,S, AU - Nerovjna,R, AU - Kljukina,L, AU - Erokhina,O, AU - Branovskaja,M, AU - Nikitina,M, AU - Grunberga,V, AU - Grunberg,A, AU - Juschenko,A, AU - Cintorino,M, AU - Santopietro,R, AU - Tosi,P, AU - Syrjänen,K, PY - 2005/11/16/pubmed PY - 2005/12/31/medline PY - 2005/11/16/entrez SP - 491 EP - 8 JF - European journal of gynaecological oncology JO - Eur. J. Gynaecol. Oncol. VL - 26 IS - 5 N2 - 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. SN - 0392-2936 UR - https://www.unboundmedicine.com/medline/citation/16285563/Factors_predicting_persistence_of_high_risk_human_papillomavirus__HPV__infections_in_women_prospectively_followed_up_in_three_New_Independent_States__NIS__of_the_former_Soviet_Union_ L2 - https://medlineplus.gov/cervicalcancer.html DB - PRIME DP - Unbound Medicine ER -