Header

UZH-Logo

Maintenance Infos

Birth cohort distribution and screening for viraemic hepatitis C virus infections in Switzerland


Bruggmann, Philip; Negro, Francesco; Bihl, Florian; Blach, Sarah; Lavanchy, Daniel; Müllhaupt, Beat; Razavi, Homie; Semela, David (2015). Birth cohort distribution and screening for viraemic hepatitis C virus infections in Switzerland. Swiss Medical Weekly, 145:w14221.

Abstract

OBJECTIVE In Switzerland, fewer than 40% of hepatitis C virus (HCV) infected individuals have been diagnosed. The aim of this project was to analyse the distribution of HCV cases in order to develop better detection strategies. STUDY DESIGN Historical data on the HCV-infected population in Switzerland were obtained from published literature, unpublished data and government reports. A disease progression model was used to age the infected population to 2015. The HCV distribution was then used to identify 5-year age cohorts with the highest HCV prevalence. The estimated number of cases needed to screen within an age cohort was calculated using the estimated viraemic prevalence, removing the percent previously diagnosed. RESULTS In 2015, the median age of the viraemic HCV infected population was 49 years, with 75% of the population born between 1951 and 1985. Random screening of the general population could identify one new viraemic HCV case per 159 persons screened, compared with targeted birth cohort screening, which could identify one new viraemic HCV case per 90-99 persons screened. CONCLUSION Considering only the direct cost of screening and treatment informing tests, targeted screening by birth cohort is more effective and cost effective than random screening in the general population.

Abstract

OBJECTIVE In Switzerland, fewer than 40% of hepatitis C virus (HCV) infected individuals have been diagnosed. The aim of this project was to analyse the distribution of HCV cases in order to develop better detection strategies. STUDY DESIGN Historical data on the HCV-infected population in Switzerland were obtained from published literature, unpublished data and government reports. A disease progression model was used to age the infected population to 2015. The HCV distribution was then used to identify 5-year age cohorts with the highest HCV prevalence. The estimated number of cases needed to screen within an age cohort was calculated using the estimated viraemic prevalence, removing the percent previously diagnosed. RESULTS In 2015, the median age of the viraemic HCV infected population was 49 years, with 75% of the population born between 1951 and 1985. Random screening of the general population could identify one new viraemic HCV case per 159 persons screened, compared with targeted birth cohort screening, which could identify one new viraemic HCV case per 90-99 persons screened. CONCLUSION Considering only the direct cost of screening and treatment informing tests, targeted screening by birth cohort is more effective and cost effective than random screening in the general population.

Statistics

Citations

1 citation in Web of Science®
1 citation in Scopus®
Google Scholar™

Altmetrics

Downloads

33 downloads since deposited on 05 Jan 2016
22 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Gastroenterology and Hepatology
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:2015
Deposited On:05 Jan 2016 10:08
Last Modified:05 Apr 2016 19:48
Publisher:EMH Swiss Medical Publishers
ISSN:0036-7672
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.4414/smw.2015.14221
PubMed ID:26715488

Download

Preview Icon on Download
Preview
Content: Published Version
Filetype: PDF
Size: 627kB
View at publisher
Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations