| Literature DB >> 30326995 |
Cyra Patel1, Julia Ml Brotherton2,3, Alexis Pillsbury1, Sanjay Jayasinghe1,4, Basil Donovan5,6, Kristine Macartney1,4, Helen Marshall7,8.
Abstract
BACKGROUND: A National human papilloma virus (HPV) Vaccination Programme for the prevention of HPV infection and associated disease using the quadrivalent HPV vaccine (4vHPV) has been funded and implemented in Australia since 2007, initially for girls only and extended to boys in 2013, with uptake rates among the highest observed worldwide. AIM: We report on the impact of this national programme on HPV prevalence and associated disease burden and estimate the potential impact of adopting a nonavalent HPV (9vHPV) vaccine.Entities:
Keywords: HPV; epidemiology; human papillomavirus; immunisations; vaccine-preventable diseases; vaccines
Mesh:
Substances:
Year: 2018 PMID: 30326995 PMCID: PMC6194907 DOI: 10.2807/1560-7917.ES.2018.23.41.1700737
Source DB: PubMed Journal: Euro Surveill ISSN: 1025-496X
Estimates of genital HPV prevalence among sexually active women aged 18–24 years, by HPV type, Australia, 2005–2012 (n = 1,260)
| HPV type | Pre-vaccination era (2005–07) | Post-vaccination era (2010–12) | ||
|---|---|---|---|---|
| Overall population prevalence | Overall population prevalence | Prevalence in vaccinated | Prevalence in unvaccinated | |
| HPV 6 | 5.5% | 0.9% | 0.2% | 2.7% |
| HPV 11 | 1.5% | 0.4% | 0% | 1.3% |
| HPV 16 | 21.3% | 4.2% | 1.5% | 12.1% |
| HPV 18 | 8.4% | 1.9% | 0.6% | 7.4% |
| HPV 31 | 5.0% | 4.0% | 2.7% | 8.1% |
| HPV 33 | 4.0% | 1.5% | 1.4% | 2.0% |
| HPV 45 | 1.0% | 2.6% | 1.7% | 6.0% |
| HPV 52 | 7.4% | 8.2% | 6.9% | 9.4% |
| HPV 58 | 5.5% | 3.4% | 3.9% | 2.7% |
| HPV 6/11 | 6.9% | 1.3% | 0.2% | 4.0% |
| HPV 16/18 | 26.2% | 5.4% | 2.1% | 16.1% |
| HPV 31/33/45 | 9.4% | 7.8% | 5.6% | 14.8% |
| 4vHPV typesa | 28.7% | 6.5% | 2.3% | 18.8% |
| High-risk HPV typesb | 47.0% | 34.9% | 34.4% | 44.3% |
| All HPV types | 59.9% | 48.8% | 49.4% | 55.7% |
HPV: human papillomavirus.
Data were obtained from Figure 1 and Table 4 of a paper reporting results of the Vaccine Impact in the Population study, where cervical specimens were obtained from women attending family planning clinics in three states [18]. Overall prevalence data were calculated manually using the information in Table 4 of the original publication.
a 4vHPV types include HPV types 6, 11, 16 and 18.
b High-risk types include HPV types 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59 and 68.
FigureTrends in high-grade cervical abnormalities in women by age group before and after commencement of the female HPV vaccination programme, Australia, 2004–2014
Proportion of cervical disease attributable to vaccine-targeted HPV types, Australia
| HPV type | High-grade cervical abnormalitiesa | Cervical cancerb (95% CI) | HPV-positive cervical cancerc (95% CI) |
|---|---|---|---|
| 16 | 51–60.3% [ | 51.6% (48.2–55.0) | 56.0% |
| 18 | 5–15% [ | 19.6% (17.0–22.4) | 21.5% |
| 31 | 11–15.8% [ | 2.5% (1.5–3.8) | 2.7% |
| 33 | 7.8–11% [ | 4.3% (3.0–5.8) | 4.6% |
| 45 | 3.0–6.4% [ | 5.0% (3.6–6.6) | 5.5% |
| 52 | 11.2–18.1% [ | 2.4% (1.4–3.6) | 2.5% |
| 58 | 5.8–8.8% [ | 0.6% (0.2–1.4) | 0.6% |
| 16/18 | 57.2–65.7% [ | 71.8% (68.5–74.7) | 77.1% (74.0–80.0) |
| 31/33/45/52/58 | Unknown | 14.8% (12.4–17.3) | 15.9% (13.4–18.6) |
| 9vHPV types | Unknown | 86.4% (83.9–88.7) | 93.0% (91.0–94.7) |
CI: confidence interval; HPV: human papillomavirus.
aIncludes: Adenocarcinoma in situ and cervical intraepithelial neoplasia grade 2 or 3.
bObtained from the Australian Cervical Cancer Typing Study (ACCTS) [40]. These data are for all cervical cancers typed (n = 847). HPV was not detected in all specimens, which may be due to failure of detection following integration of HPV DNA, assay failure, misclassification of uterine cancers as cervical cancer or rarely to true HPV-negative cancers.
cObtained from the Australian Cervical Cancer Typing Study (ACCTS) [40]. These data are for HPV-positive cervical cancers typed (n = 787). The proportion of HPV-positive cervical cancers attributable to the individual 9vHPV types was calculated manually using data from Table 1 in Brotherton et al. [40]. As such, 95% CIs are not available for these proportions. The following formula was used, using HPV 16 as an example: [number of specimens with HPV 16 alone (single HPV genotype) + number of specimens with HPV 16 and other HPV types (multiple HPV genotypes)] / total number of HPV-positive cervical cancers.
Burden of HPV-associated cancers and the number of additional cases estimated to be preventable by 9vHPV vaccine, Australia
| Cancer type | Age-standardised annual rates per 100,000 | Number of cases per year | Cases due to HPV | Proportion of HPV-associated cases due to HPV 16/18 | Number of cases prevented by 4vHPV vaccine | Proportion of HPV-associated cases due to 9v-non4vHPV types | Number of additional cases preventable with 9vHPV vaccine | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Incidence | Mortality | Incidence | Mortality | Proportion | Number | |||||||
| Cervical (F)a | 7.4 [ | 1.7 [ | 869 [ | 224 [ | 100% [ | 869 | 72% [ | 624 | 15% [ | 129 | ||
| Anal (F) a | 1.8 [ | 0.3 [ | 232 [ | 39 [ | 90.8% [ | 211 | 93% [ | 196 | 11% [ | 23 | ||
| Anal (M)a | 1.4 [ | 0.3 [ | 166 [ | 33 [ | 74.9% [ | 124 | 116 | 4% [ | 5 | |||
| Penile (M)b | 0.7 [ | NA | 82 [ | 17 [ | 50% [ | 41 | 87% [ | 36 | 9% [ | 4 | ||
| Vulval (F)c | 2.3 [ | NA | 311 [ | 68 [ | 40% [ | 124 | 86% [ | 107 | 14% [ | 17 | ||
| Vaginal (F)c | 0.6 [ | NA | 69 [ | 21 [ | 70% [ | 48 | 88% [ | 43 | 18% [ | 9 | ||
| Oral (F)d | NA | NA | 24 [ | NA | 6.8% [ | 2 | 95% [ | 2 | NA | NA | ||
| Oral (M)d | NA | 53 [ | 4 | 3 | ||||||||
| Oropharyngeal (F) | 1.0 [ | 0.6 [ | 67 [ | 147 [ | 39.8% [ | 27 | 95% [ | 25 | NA | NA | ||
| Oropharyngeal (M) | 4.0 [ | 237 [ | 94 | 90 | ||||||||
| All HPV-associated cancers | NA | NA | 2,110 | 402 | NA | 1,544 | NA | 1,242 | NA | 187 | ||
9v-non4vHPV types: HPV 31, 33, 45, 52, 58; F: females only; HPV: human papillomavirus; M: males only; NA: data not available.
The estimates of the number of preventable cases were calculated using published statistics (as cited in the table) in the following formulae:
Number of cases due to HPV = number of cases per year × % of cases due to HPV.
Number of cases prevented by 4vHPV = number of cases due to HPV × % of HPV-associated cases due to HPV 16 or 18.
Number of additional cases preventable by 9vHPV = number of cases due to HPV × % of HPV-associated cases due to 9v-non4vHPV types.
a Incidence rates and cases from 2012 and mortality rates and cases from 2013.
b Incidence rate from 2005 (reported in [8]), incidence cases from 2009 and mortality cases from 2010.
c Incidence rates from 2008, incidence cases from 2009 and mortality cases from 2010.
d Includes ICD codes C02-C04. Incidence cases from 2010.
e Includes ICD codes C01, C05, C09, C10 and/or C14. Incidence rates from 2008 (reported in [11]).
f Combined for males and females and includes ICD codes C09 and/or C10 only. Mortality rates and cases from 2010.
g Includes ICD codes C01, C05, C09 and/or C10. Incidence numbers from 2010.