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Genital Herpes  Symptom

Genital Herpes Information

Genital Herpes

Seroepidemiology of Herpes Simplex virus type 1 and 2 in Western and Southern Switzerland in adults aged 25–74 in 1992–93 : a population-based study

Dominique Bόnzli, Vincent Wietlisbach, Fabrizio Barazzoni, Roland Sahli and Pascal RA Meylan1 ,2, 1Institut de Microbiologie, CHUV, Lausanne, Switzerland, 2Service des Maladies Infectieuses, CHUV, Lausanne, Switzerland, 3Institut Universitaire de Mιdecine Sociale et Prιventive, Lausanne, Switzerland, 4Ente Ospedaliero Cantonale, Bellinzona, Switzerland, BMC Infectious Diseases 2004, 4:10     doi:10.1186/1471-2334-410                                  © 2004 Bόnzli et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.

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Methods

Study populations and sampling procedure

The serum repository results from the third population-based health examination survey conducted in Switzerland within the framework of the multicenter WHO-MONICA (MONItoring trends and determinants in CArdiovascular disease) project in 1992–3 [28]. The survey was based on a random sample of the adult resident population of two Swiss regions, composed of the cantons of Vaud and Fribourg (mainly French-speaking, age range 25–74) on one hand and of the canton of Ticino (Italian-speaking, age range: 35 to 64) on the other hand. The two-stage sampling procedure consisted first in drawing a random sample of communes (administrative divisions enclosing a village or a city and its surrounding territory) stratified by size (number of inhabitants) and, secondly in drawing a random sample of residents in the population files of the selected communes. The sampling fraction of communes were 51 out of 651 in Vaud-Fribourg and 25 out of 147 in Ticino. The population samples drafted in these two regions were of 3300 and 2000, of whom 1742 and 1510 persons respectively accepted to participate to the survey, corresponding to overall participation rates of 53% and 76% in the two areas. The participants were invited to attend a health examination in their commune of residence and to complete a self-administered questionnaire about their socio-demographic characteristics, dietary intakes, and lifestyle habits. In addition to anthropometric and blood pressure measurements, a venous blood sample was drawn from each subject for determination of blood lipid concentrations. The blood samples were allowed to clot at room temperature, centrifuged within two hours of harvest, and the serum transferred and stored at -20°C.

Socio-economic indicators

Educational level was categorized in four classes according to the highest degree the subjects had achieved and the age at which they completed their education, i.e. i) low : mandatory school only (age ≤ 16); ii) medium: apprenticeship (age > 16); iii) high: secondary or professional school (age > 18) and iv) very high: university (age > 22).

Serologic testing

Samples were assayed by ELISA (HerpeSelect, Focus Technologies, Inc., Cypress, CA) for HSV-1 (Herpes Simplex Virus type 1) and HSV-2 IgG, according to the manufacturer instructions [18,29]. All samples with an Index Value between 0.8–1.2 (OD standardized using a reference serum set by the manufacturer to provide a cut off value arbitrarily given the Index value of 1) were tested again using the serum supernatant after centrifugation (15000 rpm during 5 min on a Eppendorf 5804 microfuge) and, if still undetermined, were resolved by immunoblot (HerpeSelect 1 & 2 Immunoblot, Focus Technologies, Inc).

Statistical Analysis

The data from the two study regions were pooled together for the overlapping age range (35–64) to increase statistical power. Complete data from the Vaud-Fribourg region extending to the age range 25–74 were used to analyze age patterns of HSV prevalence. In order to account for the regional differences in sampling fractions and participation rates in the MONICA survey, the HSV seroprevalence estimates were weighted by sex and age so as to be representative of the populations of the two study regions at the time of the survey (end of 1992). All the statistical analyses (i.e. estimation of prevalence rates and odd ratios, calculation of confidence intervals, logistic regression) were performed using the procedures adapted to weight survey data ("svy commands") in the Stata 6.0 (Stata Corp, College Station, TX) software.

The matching of the epidemiological data from the MONICA survey with the results of the serological testing for HSV-1 and HSV-2 antibodies allowed to analyze the prevalence of herpes across the different socio-demographic strata of the Swiss population and to identify factors influencing this prevalence. Variations of the seroprevalence rates between groups according to various characteristics (sex, age, marital status, education level, place of residence, etc) were first examined in cross-tabulations and bivariate logistic regression models. All variables were then entered into a multivariate logistic regression model in order to test whether they were predictors of the HSV status independently of each other. The contribution of a given explanatory variable was tested by the Wald test.

A classification tree analysis [30] was performed using the S-PLUS (StatSci, a Division of Math Soft, Seattle, USA) software in order to define population risk categories for HSV-2 (Herpes Simplex Virus type 2) on the basis of the different socio-demographic factors. This technique consists in successively splitting the whole set of subjects into increasingly homogeneous subsets, separating as far as possible those with a positive HSV-2 status from those with a negative HSV-2 status. Each split is conditioned by an optimal cut-off in the levels of a single factor and the process is continued as long as it is feasible or statistically significant. Tree-based models capture interactions between factors more easily than logistic regression models. This procedure generated subsets of subjects with increasing seroprevalence rates, i.e. reflecting different risk levels of acquiring HSV-2. Neither HSV-1 serostatus nor sex were used as discriminating factors because we wanted to analyse sex-specific differences in HSV-2 seroprevalence rates according to HSV-1 serostatus across these risk categories.

Ethical considerations

Serum samples had been drawn from the volunteers under a consent involving cardiovascular research but not explicitly for assays such as Herpes simplex antibodies. However, taking into account the potential relationship between Herpes simplex infection and atherosclerosis, the anonymisation of the database and the fact that the serum samples had been drawn 9 years before performing the study, the performance of HSV-1 and HSV-2 assays on this serum repository was authorised by the Institutional Review Board of the School of Medicine, CHUV, Lausanne.

 

Results

Characteristics of the study population

Of the 3235 serums available in the serum repository, 3120 could be matched in the MONICA database with one of the 3252 participants of the health examination survey. Fifteen samples had an identification number not corresponding to any of the participants probably because of transcription errors. On the other hand, 132 participants had no serum sample in the repository because of problems in serum collection (n = 107, missing values for blood lipids as well) or serum storage (n = 25).

Prevalence of antibodies against HSV-1 and -2 infection

Overall, for the pooled data concerning adults in the age range 35–64, the infection rate was 80.0 % for HSV-1 (Herpes Simplex Virus type 1) and 19.3 % for HSV-2 (Tables 1 and 2). Infection rate was higher in women than in men for HSV-1 (82.7% versus 77.2 %, p = 0.004) and for HSV-2 (20.9 % and 17.7 %, p = 0.073), but the difference was statistically significant for HSV-1 only (Tables 1 and 2). Seroprevalence rates were higher in the Ticino region than in the Vaud-Fribourg region for HSV-1 (87.7 % versus 77.0%, p < 0.001), as was HSV-2 prevalence (20.5% versus 18.9 %, p = 0.309), but statistical significance was reached for HSV-1 for both genders and for HSV-2 for females only (see also Table 5, multivariate analysis).

Herpes Simplex Virus seroprevalence and variables other than age

For sociodemographic variables other than age, the association with HSV infection was analyzed using the pooled data of both regions within the age range 35–64. Sex-specific seroprevalence rates and unadjusted odds-ratios are shown in Tables 1 and 2. Adjusted odds ratios, 95% confidence intervals and p values resulting from multivariate logistic regression models of HSV-2 seroprevalence are shown on Table 5.

HSV seroprevalence and marital status

Marital status was associated with HSV infection in both sexes. In males, a lower HSV-2 seroprevalence was observed in married subjects compared to all other categories, significantly so in widowed subjects as compared to married subjects (Table 1). In females, HSV-2 seroprevalence was significantly higher in all categories (single, separated/divorced, or widowed) as compared to married subjects (Table 2). This observation was supported by the multivariate analysis (Table 5, p = 0.013 and 0.0004 for males and females respectively by the Wald test for the overall contribution of the marital status variable).

HSV seroprevalence and socio-economic status

Several socio-economic variables were collected in the MONICA survey: level of education, economic sector, employment grade and job qualification level. While similar trends in HSV seroprevalence rates were observed according to all these variables, the level of education showed the strongest association and was therefore selected for the present analysis.

The seroprevalence of HSV-1 (Herpes Simplex Virus type 1) decreased with increasing level of education in both genders (Tables 1 and 2). In contrast, the seroprevalence of HSV-2 increased significantly with increasing level of education (Tables 1 and 2). In males, the odds of being infected by HSV-2 were higher in subjects with high or very high education levels (see definition in material and methods) compared with subjects with low or medium education levels (Table 1), while in females, subjects with a low education level stood out with a low HSV-2 seroprevalence as compared with all higher education level subjects (Table 2). Again, this observation withstood the test of the multivariate analysis for males, and nearly so for females (Table 5, p = 0.045 and 0.064 for males and females respectively by the Wald test for the overall contribution of the education level variable).

Herpes Simplex Virus seroprevalence and size of place of residence

As the two-stage sampling procedure of the MONICA survey consisted first in drawing a random sample of communes (see definition under method section) stratified according to their size, we could analyze the association between commune size and HSV seroprevalence. As seen in Tables 1 and 2, HSV-2 seroprevalence was lower among residents from small communes (<1500 inhabitants), when compared to residents from larger towns. This trend for a lower odd ratio of being infected by HSV-2 was significant among females. Again, this conclusion was supported by the multivariate analysis (Table 5, p = 0.53 and 0.02 for males and females respectively by the Wald test for the overall contribution of the place of residence variable).

Interaction between HSV-1 and HSV-2 infection

HSV-1(Herpes Simplex Virus type 1)-seropositive individuals had a lower HSV-2 seroprevalence rate compared to HSV-1-uninfected subjects, and this difference was statistically significant in women and of borderline significance in men (Tables 1 and 2). The inverse association between HSV-1 and HSV-2 serological status persisted after adjustment for age and the other sociodemographic variables in females (Table 5, p = 0.30 and 0.006 for males and females respectively by the Wald test for the overall contribution of the HSV-1 serostatus variable). The potential role of sex and HSV-1 status in protection against HSV-2 transmission was more closely examined in population risk groups for HSV-2 infection defined by classification tree analysis (see methods). Young adults 25 to 34 years old and living alone formed the lowest risk group (HSV-2 seroprevalence: 3.9%) and those living with a partner formed the second lowest (13.3%). The highest risk group comprised the adults aged 35 years and more who were separated, divorced or widowed (31.6%) while those single or married had an intermediate risk depending of their educational level (less than high: 17.0%; high or very high: 23.6%). Figure 1 shows the HSV-2 seroprevalence rate in these five groups according to sex and HSV-1 serostatus. The protective effect of HSV-1 infection against HSV-2 was mostly contributed by women in the high risk group for HSV-2 infection with an odds ratio of 0.37 (95% confidence interval 0.19–0.75; p = 0.005).

Herpes Simplex Virus seroprevalence in pregnant women

Women in the MONICA study were asked whether they had been pregnant within the twelve months before participating to the study. Among those 55 answering that they had been, 72.7% were seropositive for HSV-1 and 9.1% for HSV-2.

Herpes Simplex Virus prevalence and age

Since a larger age range of participants was sampled in the Vaud-Fribourg region, the relationship between age and Herpes Simplex Virus seroprevalence was analysed in detail in this region.

Of note, similar age patterns in Herpes Simplex Virus-1 and -2 prevalence were observed in the Ticino sample from age 35 to 64. As shown in Tables 3 and 4, the prevalence of HSV-1 infection was high even among the youngest subjects (25–34 year old, 58.2% among males and 69.1 % among females). This prevalence increased with age. The prevalence of Herpes Simples Virus-2 was respectively 10.6% among males and 12.2 % among females 25–34 year old. In middle-aged adults (35–64 years old) of both gender, the HSV-2 seroprevalence rates reached a plateau at 18–20%. In the elderly (65–74 years old), men had a significantly higher seroprevalence rate than their middle-aged counterparts.

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18.   Ribes JA, Hayes M, Smith A, Winters JL, Baker DJ: Comparative performance of herpes simplex virus type 2-specific serologic assays from Meridian Diagnostics and MRL diagnostics.
J Clin Microbiol 2001, 39:3740-3742.  OpenURL
    Return to citation in text: [1]
28.   Wietlisbach V, Paccaud F, Rickenbach M, Gutzwiller F: Trends in cardiovascular risk factors (1984–1993) in a Swiss region: results of three population surveys.
Prev Med 1997, 26:523-533.
    Return to citation in text: [1]
 
29.   Ribes JA, Smith A, Hayes M, Baker DJ, Winters JL: Comparative performance of herpes simplex virus type 1-specific serologic assays from MRL and Meridian Diagnostics.
J Clin Microbiol 2002, 40:1071-1072.  OpenURL
    Return to citation in text: [1]
 
30.   Venables WN, Ripley BD: Tree-based methods.
In Modern applied statistics with S-PLUS (Edited by: Venables WN, Ripley BD). New York: Springer Verlag 1994, 329-347. OpenURL
    Return to citation in text: [1]
Table 1 [1] [2] [3] [4] [5] [6] [7] [8] [9]
Seroprevalence of HSV-1 and HSV-2 according to various predictors in men aged 35–64, 1992–3, Vaud-Fribourg, Ticino
    HSV-1 HSV-2


 
n
 
Rate ± SE (95% CI) Odds Ratio (95% CI) P value Rate ± SE (95% CI) Odds Ratio (95% CI) P value

Region              
Vaud-Fribourga 541 73.5 ± 1.9% (69.8–77.2) 1.00 (---) --- 18.1 ± 1.7% (14.9–21.4) 1.00 (---) ---
Ticino 693 87.0 ± 1.3% (84.5–89.5) 2.42 (1.81–3.24) <0.001 16.6 ± 1.4% (13.8–19.4) 0.90 (0.67–1.21) 0.487

Age group              
35–44 479 70.8 ± 2.4% (66.0–75.5) 0.58 (0.34–0.83) 0.003 18.1 ± 2.0% (14.1–22.1) 1.01 (0.68–1.50) 0.956
45–54a 433 80.8 ± 2.3% (76.4–85.2) 1.00 (---) -- 17.9 ± 2.1% (13.7–22.1) 1.00 (---) ---
55–64 322 82.3 ± 2.6% (77.2–87.3) 1.10 (0.70–1.73) 0.669 16.8 ± 2.5% (12.0–21.6) 0.92 (0.59–1.45) 0.730

Marital status              
Single 116 62.4 ± 5.5% (51.5–73.2) 0.45 (0.27–0.74) 0.002 21.5 ± 4.6% (12.4–30.6) 1.40 (0.79–2.49) 0.244
Marrieda 1021 78.6 ± 1.5% (75.6–81.6) 1.00 (---) --- 16.3 ± 1.3% (13.7–18.9) 1.00 (---) ---
Sep/divorced 86 76.7 ± 5.4% (66.2–87.2) 0.89 (0.48–1.65) 0.719 24.8 ± 5.3% (14.4–35.3) 1.69 (0.94–3.06) 0.081
Widowed 11 78.6 ± 15.2% (48.9–100.0) 1.00 (0.17–5.88) 0.997 54.2 ± 17.3% (20.3–88.1) 6.07 (1.53–24.11)
 
0.011
 

Educational level  
 

 

 

 

 

 
Low 308 89.3 ± 2.2% (84.9–93.6) 2.56 (1.52–4.19) <0.001 17.2 ± 2.6% (12.1–22.4) 1.19 (0.77–1.85) 0.431
Mediuma 639 76.7 ± 2.0% (72.8–80.6) 1.00 (---) --- 14.9 ± 1.6% (11.7–18.0) 1.00 (---) --
High 140 67.3 ± 4.4% (58.6–75.9) 0.62 (0.40–0.98) 0.040 21.7 ± 3.8% (14.2–29.1) 1.58 (0.95–2.63) 0.076
Very high 143 67.4 ± 4.6% (58.4–76.4) 0.63 (0.39–1.00) 0.050 26.0 ± 4.3% (17.6–34.3) 2.01 (1.21–3.32) 0.007

Size of commune
 

 

 

 

 

 

 
<1500 454 78.7 ± 2.4% (74.1–83.3) 1.14 (0.78–1.68) 0.485 15.2 ± 2.0% (11.3–19.2) 0.76 (0.50–1.14) 0.181
1500–10'000a 454 76.3 ± 2.4% (71.6–81.1) 1.00 (---) --- 19.2 ± 2.2% (15.0–23.5) 1.00 (---) ---
>10'000 326 76.7 ± 2.6% (71.5–81.8) 1.01 (0.69–1.50) 0.941 18.6 ± 2.4% (13.9–23.3) 0.96 (0.63–1.45) 0.844

HSV-1-infected              
Noa 234       21.2 ± 2.9% (15.5–26.9) 1.00 (---) ---
Yes 1000       16.7 ± 1.4% (13.9–19.4) 0.74 (0.50–1.11) 0.143