Increasing prevalence of chronic hepatitis B virus infection and low linkage to care in Denmark on 31 December 2016 – an update based on nationwide registers

Abstract Objectives We aimed to update the estimated prevalence of both diagnosed and undiagnosed chronic hepatitis B virus infection in Denmark. Moreover, we aimed to determine the number of people with chronic hepatitis B virus infection in specialised care and to assess the completeness of reporting to the national register of communicable diseases. Methods Using four registers with national coverage, we identified all individuals registered with chronic hepatitis B virus infection, aged 16 years or older, and alive in Denmark on 31 December 2016. The diagnosed population was then estimated using capture-recapture analysis. The undiagnosed population was estimated using data from the Danish pregnancy screening program. Results We estimated that 14,548 individuals were living with chronic hepatitis B virus infection corresponding to 0.3% of the Danish population. Of them, 13,530 (93%) were diagnosed and 7942 (55%) were registered in one or more of the source registers. Only 4297 (32%) diagnosed individuals had attended specialised care and only 3289 cases (24%) were reported to the Danish communicable disease register. Conclusion The prevalence of chronic hepatitis B virus infection increased from 2007 to 2017. The majority that had been diagnosed did not receive care as recommended by national guidelines and were not reported to the communicable diseases register responsible for hepatitis B virus surveillance. Future efforts should focus on linking individuals diagnosed with chronic hepatitis B virus infection to specialised care and improving reporting to the hepatitis B virus surveillance system.

[1]  J. Lazarus,et al.  Hepatitis C prevalence in Denmark in 2016—An updated estimate using multiple national registers , 2020, PloS one.

[2]  I. Sperle,et al.  Prevalence of Hepatitis B, C, and D in Germany: Results From a Scoping Review , 2020, Frontiers in Public Health.

[3]  J. Lazarus,et al.  The Consensus Hepatitis C Cascade of Care: standardized reporting to monitor progress toward elimination. , 2019, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[4]  A. Pottegård,et al.  The Danish Medical Birth Register , 2018, European Journal of Epidemiology.

[5]  L. Madsen,et al.  Vertical transmission of hepatitis B virus during pregnancy and delivery in Denmark , 2017, Scandinavian journal of gastroenterology.

[6]  Sigrun Alba Johannesdottir Schmidt,et al.  The Danish National Patient Registry: a review of content, data quality, and research potential , 2015, Clinical epidemiology.

[7]  R. Dessau,et al.  Improving national surveillance of Lyme neuroborreliosis in Denmark through electronic reporting of specific antibody index testing from 2010 to 2012. , 2015, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[8]  Henrik Toft Sørensen,et al.  The Danish Civil Registration System as a tool in epidemiology , 2014, European Journal of Epidemiology.

[9]  H. Krarup,et al.  Hepatitis B prevalence in Denmark - an estimate based on nationwide registers and a national screening programme, as on 31 December 2007. , 2013, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[10]  J. Bukh,et al.  Predictors of antiviral treatment initiation in hepatitis C virus‐infected patients: a Danish cohort study , 2009, Journal of viral hepatitis.

[11]  J. Macdougall,et al.  Capture—recapture and anchored prevalence estimation of injecting drug users in England: national and regional estimates , 2009, Statistical methods in medical research.

[12]  H. Krarup,et al.  Behandling af hepatitis B virus (HBV) og hepatitis C virus (HCV) infektion , 2009 .

[13]  S. Cowan,et al.  [Reporting chronic hepatitis B and C in Denmark]. , 2008, Ugeskrift for laeger.

[14]  H. Sørensen,et al.  Retrivability in The Danish National Hospital Registry of HIV and hepatitis B and C coinfection diagnoses of patients managed in HIV centers 1995–2004 , 2008, BMC medical research methodology.

[15]  I. Gemmell,et al.  Capture-recapture estimates of problem drug use and the use of simulation based confidence intervals in a stratified analysis , 2004, Journal of Epidemiology and Community Health.

[16]  Michael Green,et al.  The GLIM system : release 4 manual , 1993 .