Association between the Mode of Delivery and Vertical Transmission of Human Papillomavirus.
Émilie NantelMarie-Hélène MayrandFrancois AudibertJoseph NiyibiziPaul BrassardLouise LaporteJulie LacailleMonica ZahreddineWilliam FraserDiane FrancoeurMarie-Josée BédardIsabelle GirardJacques LacroixAna Maria CarcellerFrançois CoutléeHelen Trottiernull nullPublished in: Viruses (2024)
Human papillomavirus (HPV) can be vertically transmitted. Our objective was to measure the association between the mode of delivery and the detection of HPV in infants. We used data collected from pregnant women during the HERITAGE study. Self-collected vaginal samples from the first and third trimester were obtained for HPV testing. Specimens from oral, pharyngeal, conjunctival and anogenital mucosa were collected from infants 36-48 h after delivery and at 3 months of age. All samples were tested for HPV DNA by the Linear Array assay. Adjusted odd ratios (aOR) and 95% confidence interval (CI) were estimated using multivariate logistic regressions. From the 282 women revealed to be HPV-positive in both the first and third trimesters, 25 infants were born HPV-positive. The overall probability of transmission was 8.9% (25/282); 3.7% (3/81) in participants with a caesarean section and 10.9% (22/201) for those who delivered vaginally. Vaginal delivery increased the risk of HPV in infants compared to caesarean (aOR: 3.63, 95%CI: 1.03-12.82). Infants born after a caesarean with ruptured membranes were not at increased risk of HPV compared to infants born after an elective caesarean section with intact membranes (aOR: 1.31, 95%CI: 0.10-17.76). Our results support the hypothesis that transmission occurs mostly during the passage in the vaginal canal.
Keyphrases
- high grade
- cervical cancer screening
- pregnant women
- gestational age
- low birth weight
- patients undergoing
- metabolic syndrome
- polycystic ovary syndrome
- machine learning
- single cell
- pregnancy outcomes
- mass spectrometry
- electronic health record
- artificial intelligence
- big data
- insulin resistance
- cell free
- quantum dots
- preterm birth
- carbon nanotubes
- breast cancer risk