%A Fogarasi,András István %A Benczik,Márta %A Moravcsik-Kornyicki,Ágota %A Kocsis,Adrienn %A Gyulai,Anikó %A Kósa,Zsigmond %D 2022 %J Pathology and Oncology Research %C %F %G English %K cervical cancer,Cancer Screening,Cross-Sectional Studies,Genotype,Human Papillomavirus Infection,Human Papillomavirus Vaccines,Prevalence Studies,Rural Population %Q %R 10.3389/pore.2022.1610424 %W %L %M %P %7 %8 2022-June-15 %9 Original Research %# %! Population-based hrHPV prevalence in Hungary %* %< %T The Prevalence of High-Risk Human Papillomavirus in Hungary—A Geographically Representative, Cross-Sectional Study %U https://www.por-journal.com/articles/10.3389/pore.2022.1610424 %V 28 %0 JOURNAL ARTICLE %@ 1532-2807 %X Background: The estimated age-standardized incidence and mortality rates of cervical cancer in Hungary are substantially higher than the European average. In many countries, human papillomavirus (HPV) testing is the first-line method of cervical cancer screening in women >30 years. According to the European guidelines, evidence-based improvement of a national prevention strategy requires the monitoring of representative data.Methods: ThinPrep cervical samples were collected over a period of 8 months at 84 sampling sites, including 4,000 eligible samples with valid laboratory results from the screening target population of females aged 25–65 years, with addresses in the representative geographic area (19 counties and four major settlement types). Genotyping of high-risk HPV (hrHPV) was performed using the Confidence HPV-X (Neumann Diagnostics) and Linear Array HPV Genotyping (Roche) tests. Demographic data were collected using a questionnaire, enabling the analysis of hrHPV genotype distribution by age, geography, education, and HPV vaccination.Results: Overall, 446 samples were hrHPV-positive, showing a prevalence of 11.15% (9.73% age-representative), similar to the world average, higher than the European average, and lower than the Eastern-European average. After age standardization, no significant geographic differences were found, except for low hrHPV prevalence in villages (p = 0.036) and in those with elementary education (p = 0.013). Following genotypes 16 and 31, in order of frequency, certain non-vaccine hrHPV genotypes (HPV51, 66, 56) showed unexpectedly higher prevalence than international data.Conclusion: Our study provides the first geographically representative genotype-specific hrHPV prevalence baseline database in Hungary to support policy-making efforts. Significant correlations with demographic data have transferable conclusions.