Secondary Logo

Journal Logo

Epidemiology and Prevention

Prevalence and Risk Factors for HPV in HIV-Positive Young Women Receiving Their First HPV Vaccination

Kahn, Jessica A. MD, MPH*; Burk, Robert D. MD; Squires, Kathleen E. MD; Kapogiannis, Bill G. MD§; Rudy, Bret MD; Xu, Jiahong MS, MPH; Gonin, René PhD; Liu, Nancy MPH; Worrell, Carol MD§; Wilson, Craig M. MD#

Author Information
JAIDS Journal of Acquired Immune Deficiency Syndromes: November 1, 2012 - Volume 61 - Issue 3 - p 390-399
doi: 10.1097/QAI.0b013e3182676fe3
  • Free



Human papillomavirus (HPV) is the most prevalent sexually transmitted infection (STI) globally, and infection with high-risk (cancer-associated) types is causally associated with the development of cervical and other anogenital cancers.1 HIV-infected (HIV+) women have relatively high rates of HPV infection,2–4 and compared with HIV-uninfected (HIV−) women, are more likely to have multiple HPV types and persistent infections.4 Recent studies document a rapid rise in HPV-positivity after HIV seroconversion.5 HIV+ women are also at higher risk than HIV− women for cervical cancer precursors such as cervical intraepithelial neoplasia (CIN)6 and for invasive cervical cancer (ICC).7,8 Furthermore, CIN and ICC may be more aggressive and less responsive to treatment in HIV+ compared with HIV− women.9,10 Treatment of CIN in HIV+ women often fails, and even after initially successful treatment of CIN in HIV+ women, the lesions frequently recur.11–13 Finally, oral and anogenital condylomata are more common and often more severe in HIV+ compared with HIV− individuals.14,15

Two prophylactic HPV vaccines have been licensed that have the potential to substantially decrease CIN and ICC among HIV+ individuals: a bivalent (HPV-16 and -18) vaccine that prevents infection with the types that cause approximately 70% of cervical cancers,16 and a quadrivalent (HPV-6, -11, -16, and -18) vaccine that also targets the HPV types that cause condylomata. In HIV− individuals, HPV vaccines are highly effective in preventing vaccine-type HPV infection.17,18 Early adolescents are targeted for HPV vaccination,19 as they are less likely to have initiated sexual intercourse than older women, and clinical trials have demonstrated that HPV vaccines are most effective in preventing type-specific HPV infection if given to women who have not been exposed to those HPV types at the time of vaccination; that is, those who are HPV DNA negative and seronegative for vaccine-type HPV.20

Although HPV vaccines are recommended for adolescents in many countries,19 the clinical benefit of vaccinating HIV+ adolescents is uncertain. First, the immunologic response to vaccination may not be as high in HIV+ versus HIV− adolescents.21 Second, HIV+ adolescents may be at higher risk for preexisting HPV infection at the time of vaccination, which could limit the health benefits of vaccination. Adolescents who were infected with HIV behaviorally may be at higher risk for HPV infection because of sexual behaviors, and both behaviorally and perinatally infected adolescents may be at higher risk for HPV infection and persistence because of immunologic compromise. Finally, there might be important differences in HPV prevalence and viral characteristics, as well as vaccine immunogenicity and tolerability, among those with HIV infection who are untreated compared with those who have demonstrated immune reconstitution with antiretroviral therapy (ART).

Information about the epidemiology of and risk factors for HPV in HIV+ adolescents at the time of vaccination is important for (1) understanding the potential impact of vaccination on HPV acquisition and HPV-related disease and (2) informing vaccination guidelines in this population. The epidemiology of HPV infection in HIV+ adult women has been well described,2,4,22 but little is known about rates of type-specific HPV DNA and HPV seropositivity or factors associated with infection in HIV+ adolescent and young adult women.23 Thus, we conducted a study with the following aims: (1) to describe rates of type-specific HPV infection (for 41 anogenital HPV types) and HPV seropositivity (for the 4 vaccine-type HPVs) among HIV+ adolescent and young adult women receiving their first quadrivalent HPV vaccination and (2) to determine which demographic, virologic, immunologic, and behavioral factors were associated with HPV infection among these young women.


Data for this study were collected at the baseline visit of a phase 2, open-label, multicenter trial, conducted from July 2008 to February 2011, to evaluate the immunogenicity and safety of an HPV-6, -11, -16, and -18 vaccine (Gardasil®) in 16- to 23-year-old HIV-infected young women (N = 99). All young women had acquired HIV through sexual behaviors, except one who had acquired HIV through a blood transfusion in Africa. Two groups of young women were recruited. Participants in group A were either naive to ART or had not received ART for at least the 6 months before study entry. Participants in group B had received ART for at least 6 months at the time of study entry. The trial was conducted by the Adolescent Medicine Trials Network for HIV/AIDS Interventions, and young women were recruited from 14 sites across the United States and Puerto Rico. The Institutional Review Board for each participating site approved the study, and written informed consent was obtained from all participants 18 years of age or older, or from the parents or guardians of participants younger than 18 years of age.

The protocol specified that 3 doses of the vaccine be administered at day 0, week 8, and week 24. At baseline, participants completed a confidential paper-and-pencil questionnaire assessing sociodemographic characteristics, knowledge, risk perceptions and sexual behaviors. Participants then underwent testing for Trichomonas vaginalis, gonorrhea, and Chlamydia per site protocol, and for peripheral blood CD4+ T-cell count (CD4), plasma HIV-1 RNA viral load (HIV VL), and serology for HPV-6, -11, -16, and -18. Serology was measured using a competitive Luminex-based immunoassay (cLIA; developed by Merck Research Laboratories, Whitehouse Station, NJ).24 A clinician used a sterile Dacron swab to collect cervicovaginal samples for HPV DNA testing using a standardized method, during a speculum exam or using a blind vaginal swab. Swabs were placed in a vial prefilled with PreservCyt solution and frozen for shipment. They were tested for HPV DNA using an MY09/11 assay and dot blot method to detect 41 HPV types.25 Samples were tested for beta-globin to assess adequacy of DNA amplification; 6 negative controls were also included.

The main outcome variables were infection with at least one HPV type, HPV-16 and/or 18, HPV-6, -11, -16, and/or -18, and at least one high-risk HPV type (positive for HPV-16, -18, -31, -33, -35, -39, -45, -51, -52, -56, -58, -59, and/or -68).26 Other outcome measures of interest included type-specific HPV infection, multiple HPV types (positive for 2 or more HPV DNA types), number of HPV types, HPV viral load (measured on a scale of 1–5 as previously described25,27), and HPV-6, -11, -16, and -18 serology.

Independent variables included demographic and baseline characteristics, knowledge about HPV and HPV vaccines (assessed using a 12-item true/false knowledge scale28–30; results described previously31), sexual behaviors, and STI diagnosis at the first vaccine visit. Univariate regression analyses were used to examine whether independent variables (demographic characteristics, CD4, HIV VL, HPV knowledge, sexual behaviors, and STI diagnosis) were associated with HPV positivity, defined as infection with one or more of the following: (1) ≥1 HPV type, (2) HPV types 16 and/or 18, (3) HPV types 6, 11, 16, and/or 18, and (4) ≥1 high-risk HPV type. For multivariable analyses, data from groups A and B were combined because the 2 groups were similar in terms of almost all baseline variables and group status was not associated with any of the 4 outcome variables. Variables associated with outcomes at a P value of <0.20 were eligible for multivariable models; CD4 T-cell count and lifetime number of sexual partners were also forced into the models given their clinical significance. Stepwise and backward model selection procedures were used, and variables with a P value of ≤0.05 were retained in the final models.


The mean age of participants was 21.4 years, 79 (79.8%) were non-Hispanic black, 4 (4.0%) were non-Hispanic white, and 16 (16.2%) were Hispanic. Thirty (30.3%) participants were on an ART regimen, 98 (99%) had CD4+ counts ≥200 cells/mm3, 40 (40.4%) had an HIV VL <400 copies/mL, and mean length of HIV infection was 2.8 years. Thirty-six participants (37.5%) reported >10 lifetime male sexual partners, 16 (16.3%) reported 2 or more male sexual partners in the previous 90 days, 72 (72.7%) had used a condom at last sexual intercourse, and 13 (13.1%) were positive for an STI (Trichomonas vaginalis, gonorrhea, or Chlamydia) at baseline. Subjects in group B were significantly more likely than those in group A to have an HIV VL <400 copies/mL (P < 0.0001); otherwise, the groups did not differ significantly in terms of demographic characteristics, immunologic factors, or behaviors. All cervicovaginal samples that were HPV-negative were positive for beta-globin, indicating adequacy of DNA amplification.

The distribution of HPV types is shown in Table 1: 74.7% of participants were positive for ≥1 HPV type, 16.2% for HPV-16 and/or -18, 18.2% for HPV-6, -11, -16, and/or -18, 53.5% for ≥1 high-risk type, 12.1% for HPV-16, 5.1% for HPV-18, 2.0% for HPV-6, and 1.0% for HPV-11. The mean number of types among subjects who were HPV positive was 3.1 (standard deviation, 2.1; median, 3.0; range, 1–9). HPV-related outcome measures did not differ significantly for group A compared with group B (data not shown) except for 2 of the individual HPV types for which prevalence was lower in group A than group B: HPV-32 (P = 0.03) and HPV-42 (P = 0.03).

TABLE 1-a:
Prevalence of HPV Types and Viral Characteristics (N = 99)
TABLE 1-b:
Prevalence of HPV Types and Viral Characteristics (N = 99)

HPV DNA and serology results are shown in Table 2. Only 1.0% of subjects were both HPV DNA positive and HPV seropositive for one of the following: HPV-6, -11, or -18; 9.1% were DNA and seropositive for HPV-16. Between 42.4% and 73.7% were both HPV DNA negative and HPV seronegative for HPV-6, -11, -16, and -18, 45.5% were DNA negative and seronegative for HPV-16 and -18, and 23.2% were DNA negative and seronegative for all 4 vaccine types.

HPV DNA and HPV Serology Results

The results of univariate analyses examining associations between baseline characteristics and HPV infection are shown in Table 3. Frequency of vaginal sexual intercourse with a male partner in the past 90 days and HIV VL were associated at P < 0.20 with any HPV infection and therefore, eligible for inclusion in the multivariable model. Race/ethnicity, knowledge about HPV, and condom use at last sexual intercourse were associated with HPV-16 and/or -18 infection, and race/ethnicity and knowledge about HPV were associated with HPV-6, -11, -16, and/or -18 infection. Variables associated with high-risk HPV were race/ethnicity, CD4, HIV VL, number of male partners in the past 90 days, frequency of vaginal sexual intercourse with a male partner in the past 90 days, and number of male partners with whom the participant had unprotected sex within the past 90 days.

TABLE 3-a:
Baseline Participant Characteristics and Univariate Associations Between Characteristics and HPV Infection
TABLE 3-b:
Baseline Participant Characteristics and Univariate Associations Between Characteristics and HPV Infection

In the 3 multivariable models evaluating factors associated with any HPV infection, HPV-16 and/or -18 infection, and HPV-6, -11, -16, and/or -18 infection, no independent predictors were identified. In the model evaluating factors associated with high-risk HPV infection, 3 variables were retained: race/ethnicity, HIV VL, and frequency of vaginal sexual intercourse in the past 90 days (Table 4). Non-Hispanic black participants had approximately 7 times the odds of high-risk HPV infection compared with Hispanic participants, participants who had an HIV VL ≥400 copies/mL had approximately 3.5 times the odds of infection compared with those with a lower HIV VL, and participants who reported 6 or more (vs. 0) episodes of vaginal sexual intercourse over the prior 90 days had almost 6 times the odds of high-risk HPV.

Independent Risk Factors for High-Risk* HPV Prevalence


In this study, we determined rates of type-specific HPV infection for 41 HPV types, HPV serology for the 4 vaccine types, and factors associated with HPV infection in HIV+ adolescent and young adult women receiving the first quadrivalent HPV vaccine dose. The effectiveness of vaccinating HIV+ young women is uncertain in the absence of information about HPV exposure at the time of vaccination, as young women who have been infected with vaccine-type HPV at the time of vaccination are not expected to derive as much clinical benefit from vaccination as those who were not infected. HIV+ young women may be at relatively high risk for previous or current HPV infection because of their sexual behaviors and may be at a higher risk for persistent HPV infection and progression to CIN because of their compromised immune status.

We found that the prevalence of overall and type-specific HPV, including HPV-16 and -18, were high in this sample. Almost 75% of participants were positive for at least one HPV type, 12% were positive for HPV-16, and 5% were positive for HPV-18. In comparison, the overall prevalence of HPV in a representative sample of US women 14–59 years of age was 24.5% among 14- to 19-year olds and 44.8% among 20- to 24-year olds.32 HPV-16 was detected in only 1.5% of all women and HPV-18 in 0.8% of all women. Interestingly, however, the rates of HPV found in our study are comparable to those found in several other studies that enrolled HIV-negative adolescent and young adult women who were similar to the young women in our study in terms of demographic characteristics.30,33,34 For example, in a previous study of predominantly low-income, African American, HIV-negative, but at-risk young women 13- to 26-years of age receiving primary care in an urban hospital-based teen health center, 68% were HPV-positive, 17% HPV-16 positive, and 12% HPV-18 positive.30 The similarities in rates of HPV likely reflect similar demographic characteristics (eg, high poverty rates) and sexual behaviors that are established risk factors for HPV.32,35–37 In contrast, several studies involving adult women and one involving adolescent women have demonstrated substantially higher rates of HPV in HIV+ compared with HIV− women.2–4,22 These higher HPV rates could reflect riskier sexual behaviors, higher incident detection of HPV infection, higher rates of HPV persistence, or more common reactivation of previously acquired latent HPV.4 The relatively high HPV rates in HIV+ women could also reflect alterations in viral-host interactions that increase the risk of HPV acquisition or persistence in HIV-infected individuals.3,38,39

The high prevalence of overall and type-specific HPV identified in our participants has implications for vaccination recommendations in HIV+ young women. First, it points to the importance of vaccination before acquisition of HPV, when vaccination is most effective. Our findings provide compelling support for recommendations to target vaccination to girls 11- to 12-years of age or younger, when they are unlikely to have initiated sexual intercourse.40,41 Second, the findings support the importance of continued cervical cancer screening after vaccination, whether by Papanicolaou or HPV testing, to prevent cervical cancer in those young women who were already infected at the time of vaccination. HIV+ women, compared with HIV− women, may have a higher incidence, persistence, or recurrence of HPV-related anogenital dysplasia and cancer, 4,42–45 or develop dysplasias or cancers that are more aggressive and less responsive to treatment.9,13

Although the prevalence of overall and type-specific HPV was relatively high compared with the general population, a significant proportion were negative for vaccine-type HPVs at the time of vaccination: 89% were negative for HPV-16 and 95% were negative for HPV-18. Furthermore, more than 50% of participants were both HPV DNA negative and seronegative for HPV-16, and almost 75% for HPV-18. These results indicate that a substantial proportion of these HIV+ young women had neither evidence of current HPV-16 or -18 infection nor past exposure and would therefore likely benefit from vaccination, if the HPV vaccine is demonstrated to be effective at preventing HPV infection and disease in HIV+ individuals.

Identification of factors associated with HPV in HIV+ young women may be helpful in guiding the design of HPV prevention strategies or vaccination guidelines in this population. Even in this relatively homogeneous population in terms of their high levels of exposure to genital HPV, 3 variables were significantly associated with high-risk HPV: non-Hispanic black ethnicity, HIV VL, and frequency of vaginal intercourse in the past 90 days. The presence of HIV-1 viremia, but not CD4 cell count, was associated with high-risk HPV detection: associations between HIV VL, CD4, and HPV infection have been inconsistent in previous studies. In a study of 1778 HIV+ adult women in the Women's Interagency HIV Study (WIHS), CD4 was inversely associated with HPV and HIV VL positively associated with HPV (P < 0001).2 Overall, women with highest prevalence of HPV were those with a CD4 <200 cells/mm3, regardless of HIV VL. Among women with CD4 >200 cells/mm3, a higher prevalence of HPV was found among those women with a higher HIV VL (>20,000 copies/mL) compared to a lower HIV VL (<20,000 copies/mL). The lowest prevalence of HPV was found in women with a CD4 >500 cells/mm3 and HIV VL <4000 copies/mL. This interaction was also evident in a subsequent prospective analysis of WIHS data, in which investigators found that the interaction between CD4 and HIV VL was significantly associated with both prevalent and incident HPV infection. A high HIV VL was strongly associated with prevalent and incident HPV in women with a high (>500 cells/mm3) or moderate (200–500 cells/mm3) CD4, but not a low CD4 (<50 cells/mm3 for prevalent HPV, <200 cells/mm3 for incident HPV).4 The investigators also found that CD4/HIV VL strata were more strongly associated with incident HPV than persistent HPV in more immune compromised HIV+ women. In contrast to the WIHS analyses, several studies of HIV+ adults demonstrated no association between CD4 and HPV detection.46,47 It is possible that the relatively small numbers of HIV+ women and high proportion of women who were HPV-positive in these studies limited the power to detect associations between CD4+ count and HPV. Similarly, in a study of HIV+ adolescent girls neither CD4 nor HIV VL were associated with HPV infection.3 The lack of an association between CD4 and HPV in that study, as in our study, may have been because of the relatively small number of participants and/or the lack of variation in CD4+ count: in our study, only 1% of participants had a CD4 <200 mm3 and 13% had a CD4 <350 mm3. The positive association between HIV VL and HPV in the WIHS and our study raises the question as to whether improved control of HIV replication either through treatment with antiretroviral medications or from immune-mediated mechanisms of the host could prevent HPV infection and subsequent adverse outcomes. It is also possible that the fact that HPV was associated with HIV VL but not CD4 could be related to immune dysregulation; that is, the higher levels of immune activation that are noted among untreated HIV+ individuals.

Frequency of vaginal sexual intercourse with a male partner in the past 90 days was also positively associated with high-risk HPV in the multivariable model. The association between sexual behaviors and HPV is well established in adolescents and adults,4,32,35,37,48–50 and points to the importance of effective strategies to promote safer sexual behaviors among HIV+ young women to prevent STI acquisition and HIV transmission.51

Finally, non-Hispanic black participants had substantially higher odds of high-risk HPV than Hispanic participants in the multivariable model. Racial and ethnic differences in HPV prevalence have been shown in previous studies and are concerning in that they may account in part for disparities in cervical cancer incidence and mortality.52 In a nationally representative sample of US women, black women had significantly higher rates of HPV (39.2%) compared with White (24.2%) and Hispanic (24.3%) women.32 In a study of college women, HPV prevalence rates were highest in black women, lower in Hispanic women, and lowest in white women,53,54 whereas in a study of urban adolescents, black race but not Hispanic ethnicity was associated with HPV infection.37 The elevated risk in black participants may be related to complex interactions between race, ethnicity, and poverty.36 In the study of US women noted previously, poverty was strongly associated with high-risk HPV infection, and among participants living below the poverty line, Mexican American ethnicity was inversely associated with high-risk HPV, whereas among participants living above the poverty line, black race was positively associated with high-risk HPV.36 These interactions between race/ethnicity, poverty, and HPV infection deserve further exploration because they have implications for the design of interventions to decrease existing disparities in HPV-related disease.52

Limitations of this study include the relatively small sample size, which limited the power to detect associations between demographic, virologic, immunologic, and behavioral factors and HPV infection. In addition, behavioral data were self-reported, which may affect their validity. Importantly, serology has limited sensitivity for detection of previous HPV infection and thus seropositivity rates may underestimate previous exposure to HPV. Seropositivity may indicate infection at sites other than the cervix; for example, the anus. Furthermore, women with more advanced immune compromise may not generate as high an immune response to natural infection, which may affect baseline serology results. The cross-sectional design of this study limits the ability to detect persistent and incident HPV infection. Lastly, the population consisted of all high-risk young women with high levels of sexual exposure and those willing to enroll in a vaccination study; these factors may increase or decrease the risk of HPV, which limits the generalizability of the results. However, the clinical sites in the Adolescent Medicine Trials Network are generally the largest of the clinics offering comprehensive services to HIV+ youth in the United States, and thus likely to be representative of HIV+ youth in care. In conclusion, the high rates of HPV identified in this cohort of HIV+ young women provide strong support for targeting HPV vaccination to girls 11- to 12-years of age or younger to maximize the health benefits of vaccination. The data also support vaccination of sexually experienced HIV+ young women, as the majority was HPV DNA negative and seronegative for high-risk vaccine-type HPV infection at the time of vaccination.


The study was scientifically reviewed by the Adolescent Medicine Trials Network's (ATN's) Therapeutic Leadership Group. Network, scientific, and logistical support was provided by the ATN Coordinating Center (C. Wilson and C. Partlow) at The University of Alabama at Birmingham. Network operations and analytic support was provided by the ATN Data and Operations Center at Westat, Inc (J. Korelitz and B. Driver). The following ATN sites participated in this study: Children's National Medical Center (D'Angelo, Hagler, and Trexler), Children's Hospital of Philadelphia (Douglas, Tanney, and DiBenedetto), John H. Stroger Jr Hospital of Cook County and the Ruth M. Rothstein CORE Center (Martinez, Bojan, Jackson, and Henry-Reid), University of Puerto Rico (Febo, Ayala-Flores, and Fuentes-Gomez), Montefiore Medical Center (Futterman, Enriquez-Bruce, and Campos), Tulane University Health Sciences Center (Abdalian, Kozina, and Baker), University of Miami School of Medicine (Friedman, Maturo, and Major-Wilson), Children's Diagnostic and Treatment Center (Puga, Leonard, and Inman), St. Jude's Children's Research Hospital (Flynn and Dillard), Children's Memorial (Garofalo, Brennan, and Flanagan), University of South Florida, Tampa (Emmanuel, Straub, Lujan-Zilberman, Julian, and Rebolledo), Children's Hospital of Los Angeles (Belzer, Flores, and Tucker), Mount Sinai Medical Center (Steever and Geiger), and University of Maryland (Peralta and Gorle).

The opinions expressed in this paper are those of the authors and do not necessarily represent those of Merck & Co, Inc. The comments and views of authors B. G. Kapogiannis and C. Worrell do not necessarily represent the views of the National Institute of Child Health and Human Development.


1. Bosch FX, Lorincz A, Munoz N, et al.. The causal relation between human papillomavirus and cervical cancer. J Clin Pathol. 2002;55:244–265.
2. Palefsky JM, Minkoff H, Kalish LA, et al.. Cervicovaginal human papillomavirus infection in human immunodeficiency virus-1 (HIV)-positive and high-risk HIV-negative women. J Natl Cancer Inst. 1999;91:226–236.
3. Moscicki AB, Ellenberg JH, Vermund SH, et al.. Prevalence of and risks for cervical human papillomavirus infection and squamous intraepithelial lesions in adolescent girls: impact of infection with human immunodeficiency virus. Arch Pediatr Adolesc Med. 2000;154:127–134.
4. Strickler HD, Burk RD, Fazzari M, et al.. Natural history and possible reactivation of human papillomavirus in human immunodeficiency virus-positive women. J Natl Cancer Inst. 2005;97:577–586.
5. Wang C, Wright TC, Denny L, et al.. Rapid rise in detection of human papillomavirus (HPV) infection soon after incident HIV infection among South African women. J Infect Dis. 2011;203:479–486.
6. Ellerbrock TV, Chiasson MA, Bush TJ, et al.. Incidence of cervical squamous intraepithelial lesions in HIV-infected women. JAMA. 2000;283:1031–1037.
7. Serraino D, Carrieri P, Pradier C, et al.. Risk of invasive cervical cancer among women with, or at risk for, HIV infection. Int J Cancer. 1999;82:334–337.
8. Mbulaiteye SM, Biggar RJ, Goedert JJ, et al.. Immune deficiency and risk for malignancy among persons with AIDS. J Acquir Immune Defic Syndr. 2003;32:527–533.
9. Holcomb K, Matthews RP, Chapman JE, et al.. The efficacy of cervical conization in the treatment of cervical intraepithelial neoplasia in HIV-positive women. Gynecol Oncol. 1999;74:428–431.
10. Reimers LL, Sotardi S, Daniel D, et al.. Outcomes after an excisional procedure for cervical intraepithelial neoplasia in HIV-infected women. Gynecol Oncol. 2010;119:92–97.
11. Heard I, Potard V, Foulot H, et al.. High rate of recurrence of cervical intraepithelial neoplasia after surgery in HIV-positive women. J Acquir Immune Defic Syndr. 2005;39:412–418.
12. Gilles C, Manigart Y, Konopnicki D, et al.. Management and outcome of cervical intraepithelial neoplasia lesions: a study of matched cases according to HIV status. Gynecol Oncol. 2005;96:112–118.
13. Massad LS, Fazzari MJ, Anastos K, et al.. Outcomes after treatment of cervical intraepithelial neoplasia among women with HIV. J Low Genit Tract Dis. 2007;11:90–97.
14. Hagensee ME, Cameron JE, Leigh JE, et al.. Human papillomavirus infection and disease in HIV-infected individuals. Am J Med Sci. 2004;328:57–63.
15. Abramowitz L, Benabderrahmane D, Ravaud P, et al.. Anal squamous intraepithelial lesions and condyloma in HIV-infected heterosexual men, homosexual men and women: prevalence and associated factors. AIDS. 2007;21:1457–1465.
16. Clifford G, Franceschi S, Diaz M, et al.. Chapter 3: HPV type-distribution in women with and without cervical neoplastic diseases. Vaccine. 2006;24(suppl 3):S3/26–S3/34.
17. Villa LL, Costa RL, Petta CA, et al.. High sustained efficacy of a prophylactic quadrivalent human papillomavirus types 6/11/16/18 L1 virus-like particle vaccine through 5 years of follow-up. Br J Cancer. 2006;95:1459–1466.
18. Paavonen J, Jenkins D, Bosch FX, et al.. Efficacy of a prophylactic adjuvanted bivalent L1 virus-like-particle vaccine against infection with human papillomavirus types 16 and 18 in young women: an interim analysis of a phase III double-blind, randomised controlled trial. Lancet. 2007;369:2161–2170.
19. Koulova A, Tsui J, Irwin K, et al.. Country recommendations on the inclusion of HPV vaccines in national immunization programmes among high-income countries, June 2006-January 2008. Vaccine. 2008;26:6529–6541.
20. Hildesheim A, Herrero R, Wacholder S, et al.. Effect of human papillomavirus 16/18 L1 viruslike particle vaccine among young women with preexisting infection: a randomized trial. JAMA. 2007;298:743–753.
21. Levin MJ, Moscicki AB, Song LY, et al.. Safety and immunogenicity of a quadrivalent human papillomavirus (types 6, 11, 16, and 18) vaccine in HIV-infected children 7 to 12 years old. J Acquir Immune Defic Syndr. 2010;55:197–204.
22. Clifford GM, Goncalves MA, Franceschi S. Human papillomavirus types among women infected with HIV: a meta-analysis. AIDS. 2006;20:2337–2344.
23. Moscicki AB, Ellenberg JH, Farhat S, et al.. Persistence of human papillomavirus infection in HIV-infected and -uninfected adolescent girls: risk factors and differences, by phylogenetic type. J Infect Dis. 2004;190:37–45.
24. Opalka D, Lachman CE, MacMullen SA, et al.. Simultaneous quantitation of antibodies to neutralizing epitopes on virus-like particles for human papillomavirus types 6, 11, 16, and 18 by a multiplexed luminex assay. Clin Diagn Lab Immunol. 2003;10:108–115.
25. Castle PE, Schiffman M, Gravitt PE, et al.. Comparisons of HPV DNA detection by MY09/11 PCR methods. J Med Virol. 2002;68:417–423.
26. Bouvard V, Baan R, Straif K, et al.. A review of human carcinogens–Part B: biological agents. Lancet Oncol. 2009;10:321–322.
27. Gravitt PE, Kovacic MB, Herrero R, et al.. High load for most high risk human papillomavirus genotypes is associated with prevalent cervical cancer precursors but only HPV16 load predicts the development of incident disease. Int J Cancer. 2007;121:2787–2793.
28. Kahn JA, Rosenthal SL, Tissot AM, et al.. Factors influencing pediatricians' intention to recommend human papillomavirus vaccines. Ambul Pediatr. 2007;7:367–373.
29. Wetzel C, Tissot A, Kollar LM, et al.. Development of an HPV Educational Protocol for Adolescents. J Pediatr Adolesc Gynecol. 2007;20:281–287.
30. Kahn JA, Rosenthal SL, Jin Y, et al.. Rates of human papillomavirus vaccination, attitudes about vaccination, and human papillomavirus prevalence in young women. Obstet Gynecol. 2008;111:1103–1110.
31. Kahn JA, Xu J, Zimet GD, et al.. Risk perceptions after human papillomavirus vaccination in HIV-infected adolescents and young adult women. J Adolesc Health. 2012;50:464–470.
32. Dunne EF, Unger ER, Sternberg M, et al.. Prevalence of HPV infection among females in the United States. JAMA. 2007;297:813–819.
33. Tarkowski TA, Koumans EH, Sawyer M, et al.. Epidemiology of human papillomavirus infection and abnormal cytologic test results in an urban adolescent population. J Infect Dis. 2004;189:46–50.
34. Brown DR, Shew ML, Qadadri B, et al.. A longitudinal study of genital human papillomavirus infection in a cohort of closely followed adolescent women. J Infect Dis. 2005;191:182–192.
35. Winer RL, Lee SK, Hughes JP, et al.. Genital human papillomavirus infection: incidence and risk factors in a cohort of female university students. Am J Epidemiol. 2003;157:218–226.
36. Kahn JA, Lan D, Kahn RS. Sociodemographic factors associated with high-risk human papillomavirus infection. Obstet Gynecol. 2007;110:87–95.
37. Shikary T, Bernstein DI, Jin Y, et al.. Epidemiology and risk factors for human papillomavirus infection in a diverse sample of low-income young women. J Clin Virol. 2009;46:107–111.
38. Clerici M, Merola M, Ferrario E, et al.. Cytokine production patterns in cervical intraepithelial neoplasia: association with human papillomavirus infection. J Natl Cancer Inst. 1997;89:245–250.
39. Klein SA, Dobmeyer JM, Dobmeyer TS, et al.. Demonstration of the Th1 to Th2 cytokine shift during the course of HIV-1 infection using cytoplasmic cytokine detection on single cell level by flow cytometry. AIDS. 1997;11:1111–1118.
40. Centers for Disease Control and Prevention. FDA licensure of quadrivalent human papillomavirus vaccine (HPV4, Gardasil) for use in males and guidance from the Advisory Committee on Immunization Practices (ACIP). MMWR Morb Mortal Wkly Rep. 2010;59:630–632.
41. Centers for Disease Control and Prevention. FDA licensure of bivalent human papillomavirus vaccine (HPV2, Cervarix) for use in females and updated HPV vaccination recommendations from the Advisory Committee on Immunization Practices (ACIP). MMWR Morb Mortal Wkly Rep. 2010;59:626–629.
42. Gingelmaier A, Grubert T, Kaestner R, et al.. High recurrence rate of cervical dysplasia and persistence of HPV infection in HIV-1-infected women. Anticancer Res. 2007;27:1795–1798.
43. Adam Y, van Gelderen CJ, de Bruyn G, et al.. Predictors of persistent cytologic abnormalities after treatment of cervical intraepithelial neoplasia in Soweto, South Africa: a cohort study in a HIV high prevalence population. BMC Cancer. 2008;8:211.
44. Fife KH, Wu JW, Squires KE, et al.. Prevalence and persistence of cervical human papillomavirus infection in HIV-positive women initiating highly active antiretroviral therapy. J Acquir Immune Defic Syndr. 2009;51:274–282.
45. Massad LS, Seaberg EC, Watts DH, et al.. Long-term incidence of cervical cancer in women with human immunodeficiency virus. Cancer. 2009;115:524–530.
46. Vernon SD, Reeves WC, Clancy KA, et al.. A longitudinal study of human papillomavirus DNA detection in human immunodeficiency virus type 1-seropositive and -seronegative women. J Infect Dis. 1994;169:1108–1112.
47. Langley CL, Benga-De E, Critchlow CW, et al.. HIV-1, HIV-2, human papillomavirus infection and cervical neoplasia in high-risk African women. AIDS. 1996;10:413–417.
48. Kjaer SK, van den Brule AJ, Bock JE, et al.. Determinants for genital human papillomavirus (HPV) infection in 1000 randomly chosen young Danish women with normal Pap smear: are there different risk profiles for oncogenic and nononcogenic HPV types? Cancer Epidemiol Biomarkers Prev. 1997;6:799–805.
49. Moscicki AB, Hills N, Shiboski S, et al.. Risks for incident human papillomavirus infection and low-grade squamous intraepithelial lesion development in young females. JAMA. 2001;285:2995–3002.
50. Kahn JA, Rosenthal SL, Succop PA, et al.. Mediators of the association between age of first sexual intercourse and human papillomavirus infection. Pediatrics. 2002;109:E5.
51. Bosch FX, Burchell AN, Schiffman M, et al.. Epidemiology and natural history of human papillomavirus infections and type-specific implications in cervical neoplasia. Vaccine. 2008;26(suppl 10):K1–K16.
52. Freeman HP, Wingrove BK. Excess Cervical Cancer Mortality: A Marker for Low Access to Health Care in Poor Communities. Rockville, MD: National Cancer Institute, Center to Reduce Cancer Health Disparities; 2005. NIH Pub. No. 05–5282.
53. Burk RD, Ho GY, Beardsley L, et al.. Sexual behavior and partner characteristics are the predominant risk factors for genital human papillomavirus infection in young women. J Infect Dis. 1996;174:679–689.
54. Ho GY, Bierman R, Beardsley L, et al.. Natural history of cervicovaginal papillomavirus infection in young women. N Engl J Med. 1998;338:423–428.
55. Franceschi S, Cuzick J, Herrero R, et al.. EUROGIN 2008 roadmap on cervical cancer prevention. Int J Cancer. 2009;125:2246–2255.

human papillomavirus; vaccine; epidemiology; women; HIV

© 2012 Lippincott Williams & Wilkins, Inc.