| Title |
Molecular epidemiology of hepatitis B virus infection in Switzerland: a retrospective cohort study
|
|---|---|
| Published in |
BMC Infectious Diseases, October 2015
|
| DOI | 10.1186/s12879-015-1234-z |
| Pubmed ID | |
| Authors |
Cédric Hirzel, Gilles Wandeler, Marta Owczarek, Meri Gorgievski-Hrisoho, Jean-Francois Dufour, Nasser Semmo, Samuel Zürcher |
| Abstract |
Chronic hepatitis B virus (HBV) infection affects up to 7 % of the European population. Specific HBV genotypes are associated with rapid progression to end-stage liver disease and sub-optimal interferon treatment responses. Although the geographic distribution of HBV genotypes differs between regions, it has not been studied in Switzerland, which lies at the crossroads of Europe. In a retrospective analysis of 465 HBV samples collected between 2002 and 2013, we evaluated the HBV genotype distribution and phylogenetic determinants, as well as the prevalence of serological evidence of hepatitis delta, hepatitis C and HIV infections in Switzerland. Baseline characteristics of patients were compared across their region of origin using Fisher's exact test and ANOVA, and risk factors for HBeAg positivity were assessed using logistic regression. The Swiss native population represented 15.7 % of HBV-infected patients living in Switzerland. In the overall population, genotype D was most prevalent (58.3 %), whereas genotype A (58.9 %) was the predominant genotype among the Swiss native population. The prevalence of patients with anti-HDV antibodies was 4.4 %. Patients of Swiss origin were most likely to be HBeAg-positive (38.1 %). HBV genotypes of patients living in Switzerland but sharing the same original region of origin were consistent with their place of birth. The molecular epidemiology of HBV infection in Switzerland is driven by migration patterns and not by the genotype distribution of the native population. The prevalence of positive anti-HDV antibodies in our cohort was very low. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 20% |
| Researcher | 6 | 15% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Bachelor | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Other | 8 | 20% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 32% |
| Immunology and Microbiology | 4 | 10% |
| Agricultural and Biological Sciences | 4 | 10% |
| Nursing and Health Professions | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 9 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 June 2016.
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#17,776,263
of 22,831,537 outputs
Outputs from BMC Infectious Diseases
#5,107
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#191,846
of 284,596 outputs
Outputs of similar age from BMC Infectious Diseases
#115
of 169 outputs
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