Patterns of cervical coinfection with multiple human papilloma virus types in a screening population in Denmark.

摘要: Patterns of cervical human papillomavirus (HPV) infection suggest that HPV genotypes are not independent each other. This may be explained by risk factors common to all infections, but type-specific biological also play a role. raises the question whether widespread use quadrivalent vaccine (covering HPV6, 11, 16, 18) indirectly affect prevalence any non-vaccine types. Routine screening samples from 5014 Danish women were tested for 35 (including 13 high-risk) using Genomica CLART(®) HPV2 kit, which is low-density microarray based on PCR amplification. Simulation studies performed both under independence between and dependence structure as would arise factors, simulation results compared observed coinfection patterns. Overall was 37.4%, with multiple infections in 17.9%. For 15 types primary interest (13 high-risk plus 11), almost pairs occurred more often than expected independence; 33/105 (31.4%) statistically significant (p<0.05 after adjustment comparisons). The pairwise odds ratios showed heterogeneity (Woolf's test p<0.0001). simulations dependence, three had (O/E) significantly different 1 (31/68, O/E=4.20; 51/68, O/E=2.52; 33/58, O/E=3.27; p<0.05 HPV68 nearly four times (p<0.005 These indicate some interaction types, do entirely explain pattern, although no evidence found targeted increased or decreased vaccine.