Background: Men who have sex with men (MSM), in particular HIV-infected MSM, are at increased risk for diseases related to human papilloma virus (HPV). Our goal was to assess the effect of HIV status on the presence of type-specific antibodies against seven high-risk HPV types in HPV-unvaccinated MSM. Moreover, we compared determinants of HPV seropositivity between HIV-negative and HIV-infected MSM.

Methods: MSM ≥18 years of age were recruited from the Amsterdam Cohort Studies, a sexually transmitted infection clinic, and an HIV-treatment center in Amsterdam, the Netherlands. Participants completed a risk-factor questionnaire; serum samples were analyzed using a fluorescent bead-based multiplex assay.

Results: MSM (n = 795) were recruited in 2010 to 2011; 758 MSM were included in this analysis. Median age was 40.1 years (interquartile range 34.8–47.5) and 308 MSM (40.6%) were HIV-infected. Seroprevalence of HPV-16 was 37.1% in HIV-negative and 62.7% in HIV-infected MSM (P < 0.001); seroprevalence of HPV-18 was 29.1% in HIV-negative MSM and 42.5% in HIV-infected MSM (P < 0.001). Similar patterns of seroprevalence were observed for HPV types 31, 33, 45, 52, and 58. In multivariable analyses, HPV seropositivity was associated with HIV infection [adjusted OR = 2.1; 95% confidence interval, 1.6–2.6]. In multivariable analyses stratified by HIV status, increasing age and number of lifetime male sex partners were significantly associated with HPV seropositivity in HIV-negative, but not HIV-infected MSM.

Conclusions: Seroprevalence of high-risk HPV types is high among unvaccinated MSM.

Impact: HIV infection is a strong and independent determinant for HPV seropositivity, which we hypothesize is because of increased persistence of HPV infection in HIV-infected MSM. Cancer Epidemiol Biomarkers Prev; 22(10); 1698–708. ©2013 AACR.

Human papilloma virus (HPV) is a common viral sexually transmitted infection (STI). The lifetime risk of genital HPV infection in sexually active people is estimated to be around 80% (1). Estimated prevalence of genital HPV infection in men varies widely, between 1% to 84%, and up to 93% in those who are at high risk, such as men who have sex with men (MSM) and HIV-infected men (2–4).

The vast majority of HPV infections (>90%) is cleared by the host immune system within 1 or 2 years (5). Time to clearance depends both on virus- and host-related factors (6), with possibly longer persistence of high-risk (oncogenic) HPV types, such as HPV-16, compared to low-risk types (7), and shorter persistence in heterosexual men compared to women (8–11). In immunocompromised people, persistent HPV infection is more common (12, 13).

Cellular immunity plays a major role in clearance of HPV and is often accompanied or followed by a humoral immune response (i.e., development of type-specific antibodies against HPV; ref. 14). Not all HPV infections lead to seroconversion, approximately 60% of women and probably a lower percentage of men seroconvert (15–18). Antibodies may persist for years, even decades, and therefore are reflective of a history of HPV exposure (as well as ongoing infections) at various anatomical locations (15, 19). Persistent HPV infections are more likely to induce a serological response than transient infections (19, 20). Because persistent high-risk HPV infection is related to several types of cancer (e.g., anogenital cancer and a subset of head and neck cancer; ref. 21–23), seropositivity could provide information on clinically relevant HPV infection.

To date, the protective effect of HPV antibodies elicited after natural infection remains elusive (24). Some studies observed a reduced risk of subsequent HPV infection in anti-HPV seropositive individuals (25–27). However, findings have been inconsistent (24, 28, 29) and the immune correlate (i.e., the antibody level which results in effective immunity) is unknown. Antibody levels elicited after HPV vaccination are 1 to 4 logs higher than after natural infection and have been shown to be highly protective against incident infection with vaccine-type HPV (30, 31). Recently, the quadrivalent HPV vaccine, targeting HPV types 6, 11, 16, and 18, has been licensed for use in men. However, few studies have examined HPV antibodies in men (28). Data are especially scarce for HPV seroprevalence in HIV-infected MSM, who are at increased risk for HPV infection and HPV-related diseases.

This study aims to estimate the effect of HIV infection on HPV seropositivity in HPV-unvaccinated MSM. In addition, we compared determinants for seropositivity between HIV-negative and HIV-infected MSM, focusing on the role of sexual behavior and drug use.

Study participants

Between July 2010 and July 2011, HIV-negative and HIV-infected MSM were invited to participate in the HIV & HPV in MSM (H2M) study at 3 sites in Amsterdam, the Netherlands: the Amsterdam Cohort Study (ACS) among MSM (Public Health Service of Amsterdam; ref. 32), an STI clinic (Public Health Service of Amsterdam; ref. 33), and an outpatient infectious disease clinic (Medical Center Jan van Goyen). At the ACS mainly HIV-negative participants were recruited, whereas at the latter 2 clinics HIV-infected participants were recruited. Men were eligible for participation if they had had sex with men, were 18 years of age or older, and fluent in Dutch or English. The Medical Ethics Committee of the Academical Medical Center (AMC) Amsterdam approved this study and participants provided written informed consent before enrolment.

Data collection

At the enrolment visit, participants completed an extensive questionnaire about sociodemographic characteristics, general health-related issues (e.g., smoking habits and circumcision status) and lifetime and recent sexual behavior. Venous blood was collected for serum antibody testing. HIV-related data [e.g., CD4 cell count, HIV viral load, and use of combination antiretroviral therapy (cART)] were obtained from the national HIV patients' database of the Dutch HIV Monitoring Foundation.

HPV serum antibody testing

Baseline serum samples were stored at −20°C and transported to the National Institute for Public Health and the Environment (RIVM, Bilthoven, the Netherlands), where samples were stored at −80°C until analysis. HPV-antibody detection against L1 virus-like particles (VLP) for serotypes 16, 18, 31, 33, 45, 52, and 58 was conducted simultaneously using a VLP-based multiplex immunoassay (MIA) as previously described by Scherpenisse and colleagues (34). The HPV–VLPs were coupled to a set of 7 distinct fluorescent microspheres (Luminex Corporation) using an enhanced carbodiimide-mediated coupling procedure that has been described elsewhere (35, 36), but with minor modifications (34). The MIA was conducted as described (37) with modifications. For each analyte, median fluorescent intensity (MFI) was converted to Luminex Units/mL (LU/mL) using a two-fold serial dilution of a reference standard (IVIG, lot LE12H227AF, Baxter, calibrated against reference serum of GSK for all the 7 HPV types) and interpolating the MFI data through a 5-parameter curve-fitting algorithm. Two quality in-house controls (low and high) were added to each plate. Cutoff values were previously determined at ≥9, ≥13, ≥27, ≥11, ≥19, ≥14, and ≥31 LU/mL for types 16, 18, 31, 33, 45, 52, and 58 respectively, based on the results of sera highly likely to be HPV-negative (children 1–10 years of age), using a one-sided 99% prediction interval method (38).

Statistical analyses

Baseline characteristics of HIV-negative and HIV-infected participants were compared using rank-sum tests for continuous data and χ2 tests for categorical data. The prevalence of antibodies against each of the 7 high-risk HPV types separately, as well as against multiple HPV types, was estimated. Uncertainty was quantified via 95% binomial confidence intervals (95% CI).

We investigated the effect of HIV status on the presence of antibodies against the 7 HPV types in one single model via univariable and multivariable logistic regression analyses. Parameters were estimated using generalized estimating equations (GEE). GEE was applied to account for the analysis of multiple HPV types within the same individual; an exchangeable correlation structure was assumed. In this multivariable model we a priori adjusted for age, tobacco smoking, and lifetime male sex partners (39, 40). In addition, we included other potential confounders based on a P < 0.05 in univariable analyses, and subsequently obtained a parsimonious model through backward selection. In this overall model, we found a strong and independent effect of HIV infection on HPV seropositivity. We therefore conducted all further analyses stratified by HIV status.

To compare determinants for HPV seropositivity between HIV-negative and HIV-infected MSM, we selected variables based on the literature. Apart from HPV type (merely reflecting differences in seroprevalence between the 7 individual HPV types), the following variables were selected and forced into both stratified models, without conducting backward selection: age, tobacco smoking, recent use of cannabis and poppers, circumcision status, lifetime number of male sex partners, unprotected anal intercourse in the last 6 months, receptive anal intercourse in the last 6 months, and recent receptive fisting. In addition, CD4 cell count and HIV viral load were forced into the model for HIV-infected MSM. We did not include any interaction between these variables and HPV type.

To minimize loss of observations in multivariable models, an extra category for missings was created for each variable with missing values for >40 participants in overall analyses or >20 participants in stratified analyses. P values in the multivariable models were obtained through Wald tests. All analyses were conducted using Stata software package version 11.2 (Stata Intercooled).

Participant characteristics

In total, 795 participants were enrolled in the H2M study. Both questionnaire data and serum sample results were available for 758 MSM, who were included in the current analysis. There were no significant differences in important baseline characteristics (e.g., age, HIV status) between the 37 excluded and the 758 included MSM. Baseline characteristics of the 758 MSM are shown in Table 1, stratified by HIV status. Three hundred and eight MSM (41%) were HIV infected at time of enrolment. The median age was 40.1 years and was significantly higher in HIV-infected than in HIV-negative MSM (45.6 and 37.6 years, respectively). HIV-negative MSM were more likely to be born in the Netherlands and were generally higher educated. HIV-infected MSM were more likely to smoke tobacco and to use cannabis and poppers (alkyl nitrites). In general, HIV-infected MSM reported more sexual (risk) behavior than HIV-negative MSM, for example, higher numbers of lifetime male sex partners and recent anal sex partners. At enrolment, the median CD4 cell count of HIV-infected MSM was high at 535 cells/mm3; a large majority of MSM (87%) were treated with cART, and 78% had undetectable HIV viral load.

Table 1.

Baseline characteristics of 758 MSM participating in the H2M study, overall and stratified by HIV status (Amsterdam, 2010–2011)a

Overall (n = 758)HIV-negative (n = 450)HIV-infected (n = 308)P valueb
No. (%)No. (%)No. (%)
A. Sociodemographic characteristics 
Median age in years (IQR) 40.1 (34.8–47.5) 37.6 (33.6–42.3) 45.6 (39.4–52.5) <0.001c 
Age (years) by category    <0.001 
 ≤34 192 (25.3) 150 (33.3) 42 (13.6)  
 35–44 335 (44.2) 232 (51.6) 103 (33.4)  
 ≥45 231 (30.5) 68 (15.1) 163 (52.9)  
Study site    <0.001 
 Amsterdam Cohort Study among MSM 482 (63.6) 448 (99.6) 34 (11.0)  
 MC Jan van Goyen 161 (21.2) 0 (0.0) 161 (52.3)  
 STI clinic (Public Health Service of Amsterdam) 115 (15.2) 2 (0.4) 113 (36.7)  
Country of birth    0.034 
 The Netherlands 608 (80.9) 371 (83.4) 237 (77.2)  
 Any other country 144 (19.1) 74 (16.6) 70 (22.8)  
Education    <0.001 
 Lower education 228 (30.1) 111 (24.7) 117 (38.0)  
 Higher education 529 (69.9) 338 (75.3) 191 (62.0)  
Living situation    0.462 
 Alone 396 (52.7) 239 (53.7) 157 (51.1)  
 With steady partner 313 (41.6) 178 (40.0) 135 (44.0)  
 With parents/caretakers/others 43 (5.7) 28 (6.3) 15 (4.9)  
B. Health-related characteristics 
Tobacco smokingd    0.007 
 Never 253 (36.9) 174 (41.4) 79 (29.7)  
 Ever/in the past 180 (26.2) 105 (25.0) 75 (28.2)  
 Current smoker 253 (36.9) 141 (33.6) 112 (42.1)  
Tobacco smoking pack yearsd,e    <0.001 
 0–14 459 (79.3) 303 (83.9) 156 (71.6)  
 ≥15 120 (20.7) 58 (16.1) 62 (28.4)  
Cannabis use last 6 monthsf    <0.001 
 No 498 (69.7) 326 (77.3) 172 (58.9)  
 Yes 216 (30.3) 96 (22.7) 120 (41.1)  
Poppers use last 6 months    <0.001 
 No 367 (56.2) 245 (67.9) 122 (41.8)  
 Yes 286 (43.8) 116 (32.1) 170 (58.2)  
Circumcised    0.145 
 No 604 (81.1) 366 (82.8) 238 (78.5)  
 Yes 141 (18.9) 76 (17.2) 65 (21.5)  
C. Sexual behavior 
Median age first anal sexual experience with male partner (years) (IQR) 21 (18–24) 21 (18–24) 20 (17.5–24) 0.014c 
Age first anal sexual experience with male partner (years) by category    0.004 
 ≤19 267 (38.9) 134 (34.4) 133 (44.9)  
 20–23 239 (34.8) 155 (39.7) 84 (28.4)  
 ≥24 180 (26.2) 101 (25.9) 79 (26.7)  
Median lifetime number of male sex partners (IQR) 200 (60–600) 100 (50–400) 300 (100–1000) <0.001c 
Lifetime number of male sex partners by category    <0.001 
 ≤100 287 (40.8) 210 (50.2) 77 (27.0)  
 101–500 240 (34.1) 130 (31.1) 110 (38.6)  
 ≥501 176 (25.0) 78 (18.7) 98 (34.4)  
Unprotected anal intercourse last 6 months    <0.001 
 No anal intercourse 124 (16.6) 73 (16.5) 51 (16.8)  
 Anal intercourse, always protected 188 (25.2) 122 (27.5) 66 (21.8)  
 Anal intercourse, sometimes protected 307 (41.2) 156 (35.2) 151 (49.8)  
 Anal intercourse, never protected 127 (17.0) 92 (20.8) 35 (11.6)  
Receptive anal intercourse last 6 months    0.060 
 No 252 (33.6) 162 (36.3) 90 (29.7)  
 Yes 497 (66.4) 284 (63.7) 213 (70.3)  
Median number of anal sex partners last 6 months (IQR) 2 (1–6) 2 (1–4) 4 (1–10) <0.001c 
Number of anal sex partners last 6 months by category    <0.001 
 ≤1 313 (41.9) 209 (46.7) 104 (34.8)  
 2–4 187 (25.0) 135 (30.1) 52 (17.4)  
 ≥5 247 (33.1) 104 (23.2) 143 (47.8)  
Median number of oral sex partners last 6 months (IQR) 4 (1–11) 4 (1–9) 5 (2–20) 0.002c 
Number of oral sex partners last 6 months by category    <0.001 
 ≤2 269 (36.1) 169 (37.6) 100 (33.7)  
 3–8 232 (31.1) 162 (36.1) 70 (23.6)  
 ≥9 245 (32.8) 118 (26.3) 127 (42.8)  
Being fisted last 6 months    <0.001 
 No 665 (89.6) 416 (95.0) 249 (81.9)  
 Yes 77 (10.4) 22 (5.0) 55 (18.1)  
D. HIV-related characteristics 
Median CD4 cell count at enrolment (cells/mm3) (IQR)   535 (410–700)  
CD4 cell count at enrolment (cells/mm3) by category 
 ≤350   38 (15.3)  
 >350   210 (84.7)  
Median nadir CD4 cell count (cells/mm3) (IQR)   223 (160–320)  
Nadir CD4 cell count (cells/mm3) by category 
 <200   99 (37.1)  
 200–349   114 (42.7)  
 ≥350   54 (20.2)  
HIV viral load at enrolment (copies/mL) by category 
 <50   200 (78.1)  
 ≥50   56 (21.9)  
Use of cART at enrolment 
 No   34 (12.9)  
 Yes   229 (87.1)  
Overall (n = 758)HIV-negative (n = 450)HIV-infected (n = 308)P valueb
No. (%)No. (%)No. (%)
A. Sociodemographic characteristics 
Median age in years (IQR) 40.1 (34.8–47.5) 37.6 (33.6–42.3) 45.6 (39.4–52.5) <0.001c 
Age (years) by category    <0.001 
 ≤34 192 (25.3) 150 (33.3) 42 (13.6)  
 35–44 335 (44.2) 232 (51.6) 103 (33.4)  
 ≥45 231 (30.5) 68 (15.1) 163 (52.9)  
Study site    <0.001 
 Amsterdam Cohort Study among MSM 482 (63.6) 448 (99.6) 34 (11.0)  
 MC Jan van Goyen 161 (21.2) 0 (0.0) 161 (52.3)  
 STI clinic (Public Health Service of Amsterdam) 115 (15.2) 2 (0.4) 113 (36.7)  
Country of birth    0.034 
 The Netherlands 608 (80.9) 371 (83.4) 237 (77.2)  
 Any other country 144 (19.1) 74 (16.6) 70 (22.8)  
Education    <0.001 
 Lower education 228 (30.1) 111 (24.7) 117 (38.0)  
 Higher education 529 (69.9) 338 (75.3) 191 (62.0)  
Living situation    0.462 
 Alone 396 (52.7) 239 (53.7) 157 (51.1)  
 With steady partner 313 (41.6) 178 (40.0) 135 (44.0)  
 With parents/caretakers/others 43 (5.7) 28 (6.3) 15 (4.9)  
B. Health-related characteristics 
Tobacco smokingd    0.007 
 Never 253 (36.9) 174 (41.4) 79 (29.7)  
 Ever/in the past 180 (26.2) 105 (25.0) 75 (28.2)  
 Current smoker 253 (36.9) 141 (33.6) 112 (42.1)  
Tobacco smoking pack yearsd,e    <0.001 
 0–14 459 (79.3) 303 (83.9) 156 (71.6)  
 ≥15 120 (20.7) 58 (16.1) 62 (28.4)  
Cannabis use last 6 monthsf    <0.001 
 No 498 (69.7) 326 (77.3) 172 (58.9)  
 Yes 216 (30.3) 96 (22.7) 120 (41.1)  
Poppers use last 6 months    <0.001 
 No 367 (56.2) 245 (67.9) 122 (41.8)  
 Yes 286 (43.8) 116 (32.1) 170 (58.2)  
Circumcised    0.145 
 No 604 (81.1) 366 (82.8) 238 (78.5)  
 Yes 141 (18.9) 76 (17.2) 65 (21.5)  
C. Sexual behavior 
Median age first anal sexual experience with male partner (years) (IQR) 21 (18–24) 21 (18–24) 20 (17.5–24) 0.014c 
Age first anal sexual experience with male partner (years) by category    0.004 
 ≤19 267 (38.9) 134 (34.4) 133 (44.9)  
 20–23 239 (34.8) 155 (39.7) 84 (28.4)  
 ≥24 180 (26.2) 101 (25.9) 79 (26.7)  
Median lifetime number of male sex partners (IQR) 200 (60–600) 100 (50–400) 300 (100–1000) <0.001c 
Lifetime number of male sex partners by category    <0.001 
 ≤100 287 (40.8) 210 (50.2) 77 (27.0)  
 101–500 240 (34.1) 130 (31.1) 110 (38.6)  
 ≥501 176 (25.0) 78 (18.7) 98 (34.4)  
Unprotected anal intercourse last 6 months    <0.001 
 No anal intercourse 124 (16.6) 73 (16.5) 51 (16.8)  
 Anal intercourse, always protected 188 (25.2) 122 (27.5) 66 (21.8)  
 Anal intercourse, sometimes protected 307 (41.2) 156 (35.2) 151 (49.8)  
 Anal intercourse, never protected 127 (17.0) 92 (20.8) 35 (11.6)  
Receptive anal intercourse last 6 months    0.060 
 No 252 (33.6) 162 (36.3) 90 (29.7)  
 Yes 497 (66.4) 284 (63.7) 213 (70.3)  
Median number of anal sex partners last 6 months (IQR) 2 (1–6) 2 (1–4) 4 (1–10) <0.001c 
Number of anal sex partners last 6 months by category    <0.001 
 ≤1 313 (41.9) 209 (46.7) 104 (34.8)  
 2–4 187 (25.0) 135 (30.1) 52 (17.4)  
 ≥5 247 (33.1) 104 (23.2) 143 (47.8)  
Median number of oral sex partners last 6 months (IQR) 4 (1–11) 4 (1–9) 5 (2–20) 0.002c 
Number of oral sex partners last 6 months by category    <0.001 
 ≤2 269 (36.1) 169 (37.6) 100 (33.7)  
 3–8 232 (31.1) 162 (36.1) 70 (23.6)  
 ≥9 245 (32.8) 118 (26.3) 127 (42.8)  
Being fisted last 6 months    <0.001 
 No 665 (89.6) 416 (95.0) 249 (81.9)  
 Yes 77 (10.4) 22 (5.0) 55 (18.1)  
D. HIV-related characteristics 
Median CD4 cell count at enrolment (cells/mm3) (IQR)   535 (410–700)  
CD4 cell count at enrolment (cells/mm3) by category 
 ≤350   38 (15.3)  
 >350   210 (84.7)  
Median nadir CD4 cell count (cells/mm3) (IQR)   223 (160–320)  
Nadir CD4 cell count (cells/mm3) by category 
 <200   99 (37.1)  
 200–349   114 (42.7)  
 ≥350   54 (20.2)  
HIV viral load at enrolment (copies/mL) by category 
 <50   200 (78.1)  
 ≥50   56 (21.9)  
Use of cART at enrolment 
 No   34 (12.9)  
 Yes   229 (87.1)  

NOTE: Significant results (P < 0.05) are represented in bold type.

Abbreviation: IQR, interquartile range.

aNumbers do not always add up to the total because of missing values.

bBased on χ2 test (except when stated otherwise).

cBased on rank-sum test.

dParticipants who were not current smokers but provided no information on past smoking behavior were counted as missing values.

eNever smokers were included in category 0 to 14 pack years.

fThis concerns cannabis use in general (without specifying route of administration).

HPV seroprevalence and antibody concentration

In total, 542 of 758 MSM (71.5%) tested positive for antibodies against at least 1 HPV type; seropositivity was significantly higher in HIV-infected compared to HIV-negative MSM (86.4% and 61.3%, respectively; Table 2). Median antibody concentrations were also consistently higher in HIV-infected MSM. Seroprevalence for multiple HPV types was 71.1% in HIV-infected and 37.3% in HIV-negative MSM. Seroprevalence for each specific HPV type was higher in HIV-infected compared to HIV-negative MSM (P < 0.001 for each comparison). For example, HPV-16 seroprevalence was 62.7% in HIV-infected and 37.1% in HIV-negative MSM; HPV-18 seroprevalence was 42.5% and 29.1%, respectively (see Fig. 1).

Figure 1.

Type-specific HPV seroprevalence and 95% CIs of 7 high-risk HPV types in baseline serum samples from 758 MSM participating in the H2M study, stratified by HIV status (Amsterdam, 2010–2011).

Figure 1.

Type-specific HPV seroprevalence and 95% CIs of 7 high-risk HPV types in baseline serum samples from 758 MSM participating in the H2M study, stratified by HIV status (Amsterdam, 2010–2011).

Close modal
Table 2.

Antibody concentrations (IgG LU/mL; median and IQR) and seroprevalence against 7 high-risk HPV types separately, HPV-16 and/or HPV-18, at least 1 HPV type, multiple (≥2) HPV types, and 7 high-risk HPV types, in 758 MSM participating in the H2M study, overall and stratified by HIV status (Amsterdam, 2010–2011)

Overall (n = 758)HIV-negative (n = 450)HIV-infected (n = 308)
OutcomeMedian IgG LU/mL (IQR)No. seropositive% Positive (95% CI)Median IgG LU/mL (IQR)No. seropositive% Positive (95% CI)Median IgG LU/mL (IQR)No. seropositive% Positive (95% CI)P valuea
HPV-16 8.1 (1.9–41.6) 360 47.5% (43.9–51.1) 4.3 (1.3–25.8) 167 37.1% (32.6–41.8) 17.0 (4.4–64.3) 193 62.7% (57.0–68.1) <0.001 
HPV-18 7.0 (3.1–23.4) 262 34.6% (31.2–38.1) 5.8 (2.6–16.4) 131 29.1% (25.0–33.5) 10.1 (3.8–34.2) 131 42.5% (36.9–48.3) <0.001 
HPV-31 4.1 (1.4–14.3) 122 16.1% (13.5–18.9) 2.3 (1.1–7.3) 41 9.1% (6.6–12.2) 9.6 (3.1–30.9) 81 26.3% (21.5–31.6) <0.001 
HPV-33 4.9 (1.6–17.4) 260 34.3% (30.9–37.8) 2.9 (1.2–9.6) 101 22.4% (18.7–26.6) 11.8 (3.4–30.7) 159 51.6% (45.9–57.3) <0.001 
HPV-45 13.7 (4.8–36.2) 312 41.2% (37.6–44.8) 8.5 (3.3–21.0) 126 28.0% (23.9–32.4) 25.5 (11.2–53.8) 186 60.4% (54.7–65.9) <0.001 
HPV-52 4.4 (2.0–11.1) 152 20.1% (17.3–23.1) 3.3 (1.7–7.9) 61 13.6% (10.5–17.1) 6.2 (3.0–18.0) 91 29.6% (24.5–35.0) <0.001 
HPV-58 8.0 (2.6–22.3) 144 19.0% (16.3–22.0) 4.7 (1.9–14.5) 54 12.0% (9.1–15.4) 12.9 (5.5–36.2) 90 29.2% (24.2–34.6) <0.001 
HPV-16 and/or HPV-18 NA 439 57.9% (54.3–61.5) NA 219 48.7% (44.0–53.4%) NA 220 71.4% (66.0–76.4) <0.001 
≥1 HPV type(s) NA 542 71.5% (68.1–74.7) NA 276 61.3% (56.7–65.9) NA 266 86.4% (82.0–90.0) <0.001 
≥2 HPV types NA 387 51.1% (47.4–54.7) NA 168 37.3% (32.8–42.0) NA 219 71.1% (65.7–76.1) <0.001 
All 7 HPV types NA 32 4.2% (2.9–5.9) NA 1.1% (0.4–2.6) NA 27 8.8% (5.9–12.5) <0.001 
Overall (n = 758)HIV-negative (n = 450)HIV-infected (n = 308)
OutcomeMedian IgG LU/mL (IQR)No. seropositive% Positive (95% CI)Median IgG LU/mL (IQR)No. seropositive% Positive (95% CI)Median IgG LU/mL (IQR)No. seropositive% Positive (95% CI)P valuea
HPV-16 8.1 (1.9–41.6) 360 47.5% (43.9–51.1) 4.3 (1.3–25.8) 167 37.1% (32.6–41.8) 17.0 (4.4–64.3) 193 62.7% (57.0–68.1) <0.001 
HPV-18 7.0 (3.1–23.4) 262 34.6% (31.2–38.1) 5.8 (2.6–16.4) 131 29.1% (25.0–33.5) 10.1 (3.8–34.2) 131 42.5% (36.9–48.3) <0.001 
HPV-31 4.1 (1.4–14.3) 122 16.1% (13.5–18.9) 2.3 (1.1–7.3) 41 9.1% (6.6–12.2) 9.6 (3.1–30.9) 81 26.3% (21.5–31.6) <0.001 
HPV-33 4.9 (1.6–17.4) 260 34.3% (30.9–37.8) 2.9 (1.2–9.6) 101 22.4% (18.7–26.6) 11.8 (3.4–30.7) 159 51.6% (45.9–57.3) <0.001 
HPV-45 13.7 (4.8–36.2) 312 41.2% (37.6–44.8) 8.5 (3.3–21.0) 126 28.0% (23.9–32.4) 25.5 (11.2–53.8) 186 60.4% (54.7–65.9) <0.001 
HPV-52 4.4 (2.0–11.1) 152 20.1% (17.3–23.1) 3.3 (1.7–7.9) 61 13.6% (10.5–17.1) 6.2 (3.0–18.0) 91 29.6% (24.5–35.0) <0.001 
HPV-58 8.0 (2.6–22.3) 144 19.0% (16.3–22.0) 4.7 (1.9–14.5) 54 12.0% (9.1–15.4) 12.9 (5.5–36.2) 90 29.2% (24.2–34.6) <0.001 
HPV-16 and/or HPV-18 NA 439 57.9% (54.3–61.5) NA 219 48.7% (44.0–53.4%) NA 220 71.4% (66.0–76.4) <0.001 
≥1 HPV type(s) NA 542 71.5% (68.1–74.7) NA 276 61.3% (56.7–65.9) NA 266 86.4% (82.0–90.0) <0.001 
≥2 HPV types NA 387 51.1% (47.4–54.7) NA 168 37.3% (32.8–42.0) NA 219 71.1% (65.7–76.1) <0.001 
All 7 HPV types NA 32 4.2% (2.9–5.9) NA 1.1% (0.4–2.6) NA 27 8.8% (5.9–12.5) <0.001 

NOTE: Cutoff values were previously determined at ≥9, ≥13, ≥27, ≥11, ≥19, ≥14, and ≥31 LU/mL for HPV types 16, 18, 31, 33, 45, 52, and 58, respectively. Significant results (P < 0.05) are represented in bold type.

Abbreviations: IQR, interquartile range; NA, not applicable.

aBased on χ2 test.

Association between HIV infection and HPV seropositivity

HPV seropositivity was significantly associated with HIV infection in univariable analysis (OR = 2.8; 95% CI, 2.3–3.4); the association remained significant in multivariable analysis [adjusted OR (aOR) = 2.1; 95% CI, 1.6–2.6] after adjusting for age, smoking, and sexual behavior (Table 3).

Table 3.

Univariable and multivariable logistic regression analyses using GEE to assess the association between HIV status and high-risk HPV seropositivity in 758 MSM participating in the H2M study, adjusting for age, smoking, and sexual behavior (Amsterdam, 2010–2011)

UnivariableMultivariable (n = 749)
OR (95% CI)P valueaOR (95% CI)P valuea
HIV-infected  <0.001  <0.001 
 No 1.0  1.0  
 Yes 2.8 (2.3–3.4)  2.1 (1.6–2.6)  
Age (years) by category  <0.001  <0.001 
 ≤34 1.0  1.0  
 35–44 1.5 (1.2–2.0)  1.4 (1.1–1.9)  
 ≥45 2.5 (1.9–3.3)  1.8 (1.3–2.4)  
Tobacco smokingb  0.981  0.249 
 Never 1.0  1.0  
 Ever/in the past 1.0 (0.8–1.3)  0.9 (0.7–1.1)  
 Current smoker 1.0 (0.8–1.3)  0.8 (0.6–1.0)  
Lifetime number of male sex partners  <0.001  0.032 
 ≤100 1.0  1.0  
 101–500 1.7 (1.3–2.2)  1.3 (1.0–1.7)  
 ≥501 2.2 (1.7–2.8)  1.4 (1.1–1.8)  
Unprotected anal intercourse last 6 months  <0.001  <0.001 
 No anal intercourse 1.0  1.0  
 Anal intercourse, always protected 1.0 (0.7–1.3)  1.0 (0.7–1.4)  
 Anal intercourse, sometimes protected 1.7 (1.2–2.2)  1.5 (1.1–2.1)  
 Anal intercourse, never protected 0.8 (0.6–1.2)  0.9 (0.6–1.3)  
Being fisted last 6 months  <0.001  0.001 
 No 1.0  1.0  
 Yes 2.5 (1.8–3.4)  1.7 (1.2–2.3)  
UnivariableMultivariable (n = 749)
OR (95% CI)P valueaOR (95% CI)P valuea
HIV-infected  <0.001  <0.001 
 No 1.0  1.0  
 Yes 2.8 (2.3–3.4)  2.1 (1.6–2.6)  
Age (years) by category  <0.001  <0.001 
 ≤34 1.0  1.0  
 35–44 1.5 (1.2–2.0)  1.4 (1.1–1.9)  
 ≥45 2.5 (1.9–3.3)  1.8 (1.3–2.4)  
Tobacco smokingb  0.981  0.249 
 Never 1.0  1.0  
 Ever/in the past 1.0 (0.8–1.3)  0.9 (0.7–1.1)  
 Current smoker 1.0 (0.8–1.3)  0.8 (0.6–1.0)  
Lifetime number of male sex partners  <0.001  0.032 
 ≤100 1.0  1.0  
 101–500 1.7 (1.3–2.2)  1.3 (1.0–1.7)  
 ≥501 2.2 (1.7–2.8)  1.4 (1.1–1.8)  
Unprotected anal intercourse last 6 months  <0.001  <0.001 
 No anal intercourse 1.0  1.0  
 Anal intercourse, always protected 1.0 (0.7–1.3)  1.0 (0.7–1.4)  
 Anal intercourse, sometimes protected 1.7 (1.2–2.2)  1.5 (1.1–2.1)  
 Anal intercourse, never protected 0.8 (0.6–1.2)  0.9 (0.6–1.3)  
Being fisted last 6 months  <0.001  0.001 
 No 1.0  1.0  
 Yes 2.5 (1.8–3.4)  1.7 (1.2–2.3)  

NOTE: High-risk HPV—HPV types 16, 18, 31, 33, 45, 52, and 58. Significant results (P < 0.05) are represented in bold type.

aBased on Wald test.

bParticipants who were not current smokers but provided no information on past smoking behavior were counted as missing values.

Risk factors for HPV seropositivity in HIV-negative MSM

In HIV-negative MSM, we observed a significant association in univariable analysis between HPV seropositivity and factors related to age, drug use, and several sexual behaviors (Table 4). In multivariable analysis, the following factors remained significantly associated with HPV seropositivity among HIV-negative MSM: increasing age (aOR = 1.8; 95% CI, 1.2–2.9 for ≥45 years compared to ≤34 years of age; overall P = 0.021), increasing number of lifetime male sex partners (aOR = 2.1; 95% CI, 1.4–3.2 for ≥501 compared ≤100 partners; overall P < 0.001), and being fisted in the past 6 months (aOR = 1.8; 95% CI, 1.0–3.4). Tobacco smoking and circumcision status were not associated with HPV seropositivity in HIV-negative MSM.

Table 4.

Univariable and multivariable logistic regression model using GEE to assess the association between potential risk factors and high-risk HPV seropositivity in 450 HIV-negative MSM and 308 HIV-infected MSM participating in the H2M study (Amsterdam, 2010–2011)

HIV-negative MSMHIV-infected MSM
UnivariableMultivariable (n = 423)UnivariableMultivariable (n = 276)
OR (95% CI)P valueaOR (95% CI)P valueaOR (95% CI)P valueaOR (95% CI)P valuea
Age (years) by category  <0.001  0.021  0.612  0.614 
 ≤34 1.0  1.0  1.0  1.0  
 35–44 1.7 (1.2–2.3)  1.5 (1.1–2.1)  1.1 (0.7–1.7)  1.1 (0.7–2.0)  
 ≥45 2.1 (1.4–3.2)  1.8 (1.2–2.9)  1.2 (0.8–1.8)  1.3 (0.7–2.2)  
Tobacco smokingb  0.628  0.893  0.011  0.002 
 Never 1.0  1.0  1.0  1.0  
 Ever/in the past 1.1 (0.8–1.6)  1.1 (0.7–1.6)  0.7 (0.5–1.0)  0.5 (0.3–0.8)  
 Current smoker 1.2 (0.8–1.6)  1.0 (0.7–1.5)  0.6 (0.4–0.8)  0.5 (0.3–0.7)  
Cannabis use last 6 monthsc  0.002  0.077  0.617  0.977 
 No 1.0  1.0  1.0  1.0  
 Yes 1.6 (1.2–2.2)  1.4 (1.0–2.0)  0.9 (0.7–1.2)  1.0 (0.7–1.4)  
Poppers use last 6 months  0.008  0.614  0.018  0.117 
 No 1.0  1.0  1.0  1.0  
 Yes 1.5 (1.1–2.1)  1.1 (0.8–1.6)  1.4 (1.1–1.9)  1.4 (0.9–2.0)  
Circumcised  0.604  0.980  0.323  0.985 
 No 1.0  1.0  1.0  1.0  
 Yes 1.1 (0.8–1.6)  1.0 (0.7–1.5)  0.8 (0.6–1.2)  1.0 (0.7–1.5)  
Lifetime number of male sex partners  <0.001  <0.001  0.797  0.959 
 ≤100 1.0  1.0  1.0  1.0  
 101–500 1.7 (1.2–2.3)  1.6 (1.1–2.3)  1.1 (0.8–1.6)  1.0 (0.7–1.6)  
 ≥501 2.6 (1.8–3.7)  2.1 (1.4–3.2)  1.1 (0.8–1.6)  1.0 (0.6–1.5)  
Unprotected anal intercourse last 6 months  <0.001  0.053  0.007  0.002 
 No anal intercourse 1.0  1.0  1.0  1.0  
 Anal intercourse, always protected 1.7 (1.1–2.8)  1.2 (0.6–2.1)  0.6 (0.4–1.0)  0.4 (0.2–0.7)  
 Anal intercourse, sometimes protected 2.5 (1.6–3.9)  1.8 (1.0–3.2)  1.1 (0.7–1.6)  0.7 (0.4–1.3)  
 Anal intercourse, never protected 1.5 (0.9–2.5)  1.3 (0.7–2.3)  0.6 (0.3–1.0)  0.3 (0.2–0.8)  
Receptive anal intercourse last 6 months  <0.001  0.197  0.376  0.075 
 No 1.0  1.0  1.0  1.0  
 Yes 1.7 (1.3–2.3)  1.3 (0.9–1.9)  1.2 (0.8–1.6)  1.6 (1.0–2.7)  
Being fisted last 6 months  0.002  0.047  0.004  0.018 
 No 1.0  1.0  1.0  1.0  
 Yes 2.4 (1.4–4.1)  1.8 (1.0–3.4)  1.7 (1.2–2.5)  1.8 (1.1–2.8)  
CD4 cell count at enrolment (cells/mm3     0.910  0.754 
 ≤350     1.0  1.0  
 >350     1.0 (0.6–1.5)  0.9 (0.6–1.5)  
HIV viral load at enrolment (copies/mL)      0.008  0.009 
 <50     1.0  1.0  
 ≥50     0.6 (0.4–0.9)  0.5 (0.3–0.9)  
HIV-negative MSMHIV-infected MSM
UnivariableMultivariable (n = 423)UnivariableMultivariable (n = 276)
OR (95% CI)P valueaOR (95% CI)P valueaOR (95% CI)P valueaOR (95% CI)P valuea
Age (years) by category  <0.001  0.021  0.612  0.614 
 ≤34 1.0  1.0  1.0  1.0  
 35–44 1.7 (1.2–2.3)  1.5 (1.1–2.1)  1.1 (0.7–1.7)  1.1 (0.7–2.0)  
 ≥45 2.1 (1.4–3.2)  1.8 (1.2–2.9)  1.2 (0.8–1.8)  1.3 (0.7–2.2)  
Tobacco smokingb  0.628  0.893  0.011  0.002 
 Never 1.0  1.0  1.0  1.0  
 Ever/in the past 1.1 (0.8–1.6)  1.1 (0.7–1.6)  0.7 (0.5–1.0)  0.5 (0.3–0.8)  
 Current smoker 1.2 (0.8–1.6)  1.0 (0.7–1.5)  0.6 (0.4–0.8)  0.5 (0.3–0.7)  
Cannabis use last 6 monthsc  0.002  0.077  0.617  0.977 
 No 1.0  1.0  1.0  1.0  
 Yes 1.6 (1.2–2.2)  1.4 (1.0–2.0)  0.9 (0.7–1.2)  1.0 (0.7–1.4)  
Poppers use last 6 months  0.008  0.614  0.018  0.117 
 No 1.0  1.0  1.0  1.0  
 Yes 1.5 (1.1–2.1)  1.1 (0.8–1.6)  1.4 (1.1–1.9)  1.4 (0.9–2.0)  
Circumcised  0.604  0.980  0.323  0.985 
 No 1.0  1.0  1.0  1.0  
 Yes 1.1 (0.8–1.6)  1.0 (0.7–1.5)  0.8 (0.6–1.2)  1.0 (0.7–1.5)  
Lifetime number of male sex partners  <0.001  <0.001  0.797  0.959 
 ≤100 1.0  1.0  1.0  1.0  
 101–500 1.7 (1.2–2.3)  1.6 (1.1–2.3)  1.1 (0.8–1.6)  1.0 (0.7–1.6)  
 ≥501 2.6 (1.8–3.7)  2.1 (1.4–3.2)  1.1 (0.8–1.6)  1.0 (0.6–1.5)  
Unprotected anal intercourse last 6 months  <0.001  0.053  0.007  0.002 
 No anal intercourse 1.0  1.0  1.0  1.0  
 Anal intercourse, always protected 1.7 (1.1–2.8)  1.2 (0.6–2.1)  0.6 (0.4–1.0)  0.4 (0.2–0.7)  
 Anal intercourse, sometimes protected 2.5 (1.6–3.9)  1.8 (1.0–3.2)  1.1 (0.7–1.6)  0.7 (0.4–1.3)  
 Anal intercourse, never protected 1.5 (0.9–2.5)  1.3 (0.7–2.3)  0.6 (0.3–1.0)  0.3 (0.2–0.8)  
Receptive anal intercourse last 6 months  <0.001  0.197  0.376  0.075 
 No 1.0  1.0  1.0  1.0  
 Yes 1.7 (1.3–2.3)  1.3 (0.9–1.9)  1.2 (0.8–1.6)  1.6 (1.0–2.7)  
Being fisted last 6 months  0.002  0.047  0.004  0.018 
 No 1.0  1.0  1.0  1.0  
 Yes 2.4 (1.4–4.1)  1.8 (1.0–3.4)  1.7 (1.2–2.5)  1.8 (1.1–2.8)  
CD4 cell count at enrolment (cells/mm3     0.910  0.754 
 ≤350     1.0  1.0  
 >350     1.0 (0.6–1.5)  0.9 (0.6–1.5)  
HIV viral load at enrolment (copies/mL)      0.008  0.009 
 <50     1.0  1.0  
 ≥50     0.6 (0.4–0.9)  0.5 (0.3–0.9)  

NOTE: High-risk HPV—HPV types 16, 18, 31, 33, 45, 52, and 58. HPV type was included in the multivariable models, apart from the variables shown in the table. Significant results (P < 0.05) are represented in bold type.

aBased on Wald test.

bParticipants who were not current smokers but provided no information on past smoking behavior were counted as missing values.

cThis concerns cannabis use in general (without specifying route of administration).

Risk factors for HPV seropositivity in HIV-infected MSM

In HIV-infected MSM, factors about tobacco smoking, drug use, sexual behavior, and HIV viral load were significantly associated with HPV seropositivity in univariable analysis (Table 4). In multivariable analysis, tobacco smoking (aOR = 0.5; 95% CI, 0.3–0.7 for current smokers compared to never smokers; overall P = 0.002), unprotected anal intercourse in the past 6 months (aOR = 0.3; 95% CI, 0.2–0.8 for never protected anal intercourse compared to no anal intercourse; overall P = 0.002), recently being fisted (aOR = 1.8; 95% CI, 1.1–2.8), and HIV viral load (aOR = 0.5; 95% CI, 0.3–0.9 for ≥50 compared to <50 copies/mL) showed a significant association with HPV seropositivity in HIV-infected MSM.

The prevalence of type-specific antibodies against 7 high-risk HPV types among HIV-negative MSM and, in particular, HIV-infected MSM is very high. Determinants for HPV seropositivity differed between HIV-negative and HIV-infected MSM. In HIV-negative MSM, determinants were generally in agreement with well-established risk factors for HPV infection, such as a high number of lifetime male sex partners, which contrasts with our findings in HIV-infected MSM.

Prevalence of antibodies against HPV-16, which is the most carcinogenic and therefore most important HPV type, was high compared to other studies among (mostly heterosexual) males (16, 17, 34, 41), but comparable to data reported for MSM specifically (40, 42). However, comparisons between HPV serology studies are hampered by major differences in characteristics of the study population and in serology methods. A large population-based study in the Netherlands, using the identical serology method as our study, observed an overall seroprevalence of 20% in males 15 to 79 years of age (34). This was substantially lower than the 61% overall seroprevalence observed in HIV-negative MSM in our study, indicating very high HPV exposure in our cohort. Another recent Dutch study, using the identical serology method, found overall seropositivity of 34% among young MSM (16–24 years of age) who visited an STI clinic (43).

We observed a significantly higher HPV-16 seroprevalence among HIV-infected MSM compared to HIV-negative MSM (63% vs. 37%), a similar finding to that of Poynten and colleagues in a recent study among Australian homosexual men (44), but different from observations of others, for example, Hagensee and colleagues (45). In addition, antibody concentrations were higher in HIV-infected than HIV-negative MSM, and HIV infection was independently associated with HPV seropositivity. Thus, our data suggest that HIV infection does not avert the ability to produce HPV antibodies or to remain HPV seropositive. This seems biologically plausible, because HIV infection primarily impairs cellular immunity and to a lesser degree humoral immunity. Our HIV-infected study population was relatively healthy; the majority received cART and had high CD4 cell counts (>500 cells/mm3) at enrolment; hence, results may not be generalizable to all HIV-infected individuals. Intriguingly, detectable HIV viral load was negatively associated with HPV seropositivity. The increased HPV seroprevalence in HIV-infected MSM observed in our study might be explained by more persistent (vs. none or transient) HPV infections and/or more reactivation of latent HPV infection because of HIV-induced immunosuppression. In addition, increased HPV acquisition in HIV-infected MSM due to more sexual risk behavior may play a role. In our multivariable analysis we did adjust for sexual behavior, but residual confounding may be present. Longitudinal data assessing HPV DNA and HPV seropositivity are necessary to elucidate the associations between (persistent) HPV infection, HIV infection, and HPV antibodies; such data will be provided by our ongoing cohort study in this group of MSM.

MSM have consistently been shown to have higher HPV seroprevalence compared to heterosexual men (46–48), which could be related to receptive anal intercourse and associated anal HPV infection. One hypothesis is that the mucosal lining of the anal canal provides better access to the immune system than the keratizined epithelium of the penile skin, leading to earlier and stronger antibody responses for anal versus penile HPV infection (14, 48). Our findings support this hypothesis in that men reporting receptive anal intercourse had increased odds for HPV seropositivity, albeit the associations were nonsignificant in multivariable analyses. In addition, receptive fisting, which may facilitate HPV infection through mucosal damage in the anal canal, was a strong and independent risk factor for seropositivity.

Increasing age was significantly associated with HPV seropositivity in HIV-negative MSM. This age-related pattern has consistently been described in serology studies among men (16, 39, 40, 46) and may reflect cumulative lifetime HPV exposure in combination with age-related changes in immunity. An increasing number of lifetime male sex partners is a well-known risk factor for HPV infection (6), and showed a strong and significant association with HPV seropositivity in HIV-negative but not in HIV-infected MSM. This dissimilarity might be explained by a saturation effect in HIV-infected MSM (because they reported significantly more lifetime sex partners than HIV-negative MSM) or an overriding effect of HIV infection on lifetime male sex partners.

Tobacco smoking was negatively associated with HPV seropositivity in HIV-infected MSM. Smoking is a well-established risk factor for HPV infection through modulating effects on local and systemic immunity, but the association between smoking and HPV seropositivity is more ambiguous. A recent study investigating HPV seroconversion following HPV infection in male students found that a history of cigarette smoking was positively associated with seroconversion (18). In contrast, another prospective study observed impaired antibody response following natural HPV-16 or HPV-18 infection among young female smokers compared to nonsmokers (49).

This study has several strengths and limitations. First, our study population was relatively large, and detailed information was obtained on both recent and lifetime sexual behavior. Second, we were able to compare HIV-negative MSM and HIV-infected MSM by using the same serology method. One important limitation is the cross-sectional nature of this study, limiting opportunities to assess time-related effects. Furthermore, although it is very plausible that many of our highly HPV preexposed study participants are seropositive for multiple HPV types, cross-reactivity of phylogenetically related HPV types is likely and may have led to an overestimation of the type-specific seropositivity in our study population (34). Behavioral data in this study were self-reported, and as a consequence may be subject to recall bias or socially desirable answers—although we aimed to limit the latter by using self-administered questionnaires. Some variables contained a relatively large amount of missing data, which we handled by including an extra category for missings in multivariable analyses. Finally, we do not have information on anal disease status. In the future, part of the HIV-infected MSM will undergo high-resolution anoscopy; we therefore hope to publish data on disease status in due course.

Our data confirm that HIV-negative MSM and HIV-infected MSM ≥18 years of age are highly exposed to high-risk HPV infections, as antibodies serve as a marker for current and previous HPV infections. The true cumulative lifetime HPV exposure is probably even greater than estimated from seroprevalence data, because not all HPV infections lead to seroconversion and waning of antibodies over time occurs. This study underscores the importance of prevention of HPV infection and sequelae in HIV-negative and HIV-infected MSM, who are at high risk for HPV-related diseases.

In conclusion, we observed a high seroprevalence of 7 high-risk HPV types among HIV-negative MSM and HIV-infected MSM in Amsterdam, the Netherlands. HIV infection was independently associated with HPV seropositivity, which might be explained by more persistent HPV infections or more frequent reactivation of latent infection. Risk factors for HPV seropositivity included increasing age, more lifetime male sex partners (in HIV-negative MSM), and receptive fisting (in both HIV-negative and HIV-infected MSM). Our data indicate that both HIV-negative and HIV-infected MSM are highly exposed to high-risk HPV infections, including HPV-16.

H. de Vries has received honoraria from the speakers bureau of Benecke and Abvie. Also H. de Vries is a consultant/advisory board member for Willpharma. M. Schim van der Loeff has other commercial research support from Sanfo-Pasteur-MSD and Merck. No potential conflicts of interest were disclosed by the other authors.

Conception and design: S. Mooij, M. van der Sande, P. Snijders, M. Schim van der Loeff

Development of methodology: S. Mooij, H. de Vries, M. Schim van der Loeff

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): S. Mooij, F. van der Klis, A. Speksnijder, H. de Vries, M. Schim van der Loeff

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): S. Mooij, M. van der Sande, R. Schepp, J.A. Bogaards, M. Schim van der Loeff

Writing, review, and/or revision of the manuscript: S. Mooij, F. van der Klis, M. van der Sande, R. Schepp, J.A. Bogaards, H.E. de Melker, H. de Vries, P. Snijders, M. Schim van der Loeff

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): S. Mooij, F. van der Klis, R. Schepp

Study supervision: M. Schim van der Loeff

The authors thank Stichting HIV Monitoring (SHM), in particular F. de Wolf and C. Smit, for their contributions in data collection; the members of the H2M steering committee, in particular R. Coutinho, for their advice; the personnel of the ACS, M.C. Jan van Goyen, and the Amsterdam STI outpatient clinic for their contributions in implementation of the study and data collection; M. van Rooijen for assisting in data management; R. Geskus for critically reading the manuscript, and S. Landry for editorial review. Above all, we gratefully acknowledge all study participants for their cooperation.

This study was funded through a grant from Aids Funds (grant number 2009029) and additional funding from the Public Health Service Amsterdam and RIVM.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

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