| Literature DB >> 31337339 |
Ru Han1,2, Junwen Zhou3,4, Clément François3,4, Mondher Toumi3,4.
Abstract
BACKGROUND: Although significant improvement in efficacy measured by a sustained virological response, the high acquisition costs of direct-acting antivirals limit the access for patients and influence the costs of healthcare resource utilisation in hepatitis C. It is important to have the latest estimates of prevalence, especially in high-risk groups, for cost of illness, cost-effectiveness and budget impact studies.Entities:
Keywords: Europe; Hepatitis C; High-risk groups; Men who have sex with men; People who inject drugs; Prevalence; Prisoners; Systematic review
Mesh:
Substances:
Year: 2019 PMID: 31337339 PMCID: PMC6647266 DOI: 10.1186/s12879-019-4284-9
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1Flow diagram of the study selection process
Summary of results from studies reporting anti-HCV prevalence in the general population
| Author, year | Country | Recruiting period | Population as reported | Age, mean (SD) | Sample size | Anti-HCV prevalence (%) (95% CI) | Risk of selection bias |
|---|---|---|---|---|---|---|---|
| Viejo, 2018 [ | Spain | February–April 2017 | The general adult population living in the health area of Callosa D’En Sarrià | 47.5 (−) | 2637 | 1.14 (0.73–1.55) | High risk |
| Lavin, 2017 [ | Spain | 2015–2016 | Spanish adult population | – | 6839 | 1.11 (−) | Low risk |
| Quesada, 2015 [ | Spain | 1994–2005 | Women from the general population in different geographical areas worldwide | 40.0(15.6) | 314 | 0.60 (0.20–2.50) | High risk |
| Andriulli, 2018 [ | Italy | 2015 | The general population | – | 4907 | 2.30 (−) | Low risk |
| Morisco, 2017 [ | Italy | May 14 | A random 1:3 systematic sample of the adult general population of Naples | 49.9(5.00) | 1315 | 3.00 (2.10–4.00) | Low risk |
| Walewska-Zielecka, 2017 [ | Poland | 2004–2014 | Patients who had been tested for anti-HCV at least once in the period from 2004 to 2014 | 34.4(8.6) | 61805 | 1.50 (−) | High risk |
| Clifford, 2017 [ | Poland | 2004–2009 | The general female population | 37.0(−) | 909 | 0.80 (0.30–1.60) | High risk |
| Garvey, 2017 [ | Ireland | April–June 2014 and November 2015–February 2016 | The adult population in Ireland with probability proportional to the general population age-sex distribution | – | 3759 | 0.98 (−) | Low risk |
| Chlibek, 2017 [ | Czech Republic | February 2015–September 2015 | The adult general population | 47.1(17.1) | 3000 | 1.67 (1.27–2.19) | High risk |
| Carvalhana, 2016 [ | Portugal | April 2012–December 2014 | Adults from primary care settings in mainland Portugal | 50.2(18.3) | 1627 | 0.54 (0.20–0.90) | Low risk |
| Plompen, 2015 [ | Netherland | − | The general Dutch elderly population | 69.5(9.0) | 6036 | 0.56 (−) | High risk |
Summary of results from studies reporting anti-HCV prevalence in pregnant women and first-time blood donors
| Author, year | Country | Recruiting period | Population as reported | Age, mean (SD) | Sample size | Anti-HCV prevalence (%) (95% CI) | Risk of selection bias |
|---|---|---|---|---|---|---|---|
| Pregnant women | |||||||
| Orkin, 2016 [ | UK | 2013 | Women who attended antenatal clinics during 2013 at 2 London hospitals | – | 1000 | 0.50 (0.06–0.94) | High risk |
| Cortina-Borja, 2016 [ | UK | 1 April–30 June 2012 | Women delivering live-born infants in the North Thames region in England | – | 31467 | 0.10 (0.07–0.14) | Low risk |
| Kopilovic, 2015 [ | Slovenia | 1999, 2003, 2009 and 2013 | Pregnant women | – | 31849 | 0.13 (0.09–0.17) | Low risk |
| Lembo, 2017 [ | Italy | January 2010–December 2015 | Pregnant women consecutively admitted to the Division of Obstetrics and Gynaecology of the University Hospital of Messina, Italy | – | 5184 | 0.20 (−) | High risk |
| Walewska-Zielecka, 2016 [ | Poland | 2004–2014 | Pregnant women in Poland | 33.4(7.9) | 42274 | 1.32 (−) | Low risk |
| Millbourn, 2017 [ | Sweden | October 2013–March 2015 and October 2013–February 2016 | Every pregnant woman and her partner in Orebro county and in Southern part of Stockholm (288,000 and 300,000 inhabitants, respectively) | – | 21379 | 0.20* (−) | Low risk |
| Munoz-Gamez, 2016 [ | Spain | January–October 2015 | Pregnant women in Spain | – | − | 0.55 (0.55–0.77) | Low risk |
| First-time blood donors | |||||||
| Velati, 2018 [ | Italy | January 2009–December 2015 | Voluntary, unpaid first-time donors | – | 1934612 | 0.09 (0.08–0.09) | Low risk |
| Politis, 2018 [ | Greece | 2010–2016 | Blood donor | – | − | 0.03 (−) | High risk |
*calculated based on available data
Summary of results from studies reporting anti-HCV prevalence in MSM and prisoner
| Author, year | Country | Recruiting period | Population as reported | Age, mean (SD) | Sample size | Anti-HCV prevalence (%) (95% CI) | Risk of selection bias |
|---|---|---|---|---|---|---|---|
| MSM | |||||||
| Ireland, 2017 [ | UK | 28 February - 15 December 2014 | MSM attending 4 genitourinary medicine clinics in Manchester | – | HIV+:735 HIV-:855 | 1.80 (−) 0.20 (−) | Low risk |
| Vanhommerig, 2013 [ | Netherland | 2009–2012 | HIV-infected MSM during 5 waves of anonymous surveys at Amsterdam STI clinic | – | 439 | 7.10 (−) | High risk |
| Cotte, 2018 [ | France | January 2016 to May 2017 | HIV+, HCV-negative MSM with serological follow-up in 2016 | – | HIV+:13051 HIV-:930 | 5.10 (−) 1.80 (−) | Low risk |
| Prisoner | |||||||
| Ekeke, 2018 [ | UK | December 2015-February 2017 | Prisoners entered Pentonville prison | – | 1324 | 7.00 (−) | High risk |
| Patel, 2016 [ | UK | − | Inmates in a medium security prison | – | 160 | 33.75 (−) | High risk |
| Casella, 2016 [ | Portugal | 2014 and 2016 | Inmates of 2 male prisons in the centre of Portugal (Pinheiro da Cruz and Setubal) | – | 82 | 38.00 (−) | High risk |
| Liberal, 2017 [ | Portugal | January–April | Inmates from one of the largest prisons in Portugal | – | 1208 | 15.70* (−) | High risk |
| Svendsen, 2017 [ | Norway | September 2015 | At-risk populations in Trondheim, Norway | – | 304 | 41.00 (−) | High risk |
| Lerena, 2016 [ | Spain | − | Inmates in a Northern region of Spain (Cantabria) with 600 k inhabitants and focused on the regional long-stay prison of El Dueso | – | 436 | 16.00 (−) | High risk |
Summary of results from studies reporting anti-HCV prevalence in PWID
| Author, year | Country | Recruiting period | Population as reported | Age, mean (SD) | Sample size | Anti-HCV prevalence (%) (95% CI) | Risk of selection bias |
|---|---|---|---|---|---|---|---|
| Aisyah, 2018 [ | UK | 2011–2013 | Vulnerable populations in London | – | 1207 | 11.40 (–) | Low risk |
| Hope, 2016 [ | UK | 1992–2013 | Image and performance-enhancing drugs injectors in England and Wales | – | 343 | 7.90 (–) | Low risk |
| Hope, 2015 [ | UK | Since 1990 | PWID from needle and syringe, opiate substitution treatment except for Scotland | – | 123 | 41.70 (–) | Low risk |
| Valencia, 2018 [ | Spain | January 2013–December 2016 | PWUD who actively consumed heroin and/or cocaine, either smoked or injected | 41.3(8.50) | 946 | 33.30 (–) | High risk |
| Folch, 2016 [ | Spain | 2010–2011 | PWID in harm reduction centres in Catalonia | – | 754 | 72.00 (68.8–75.2) | Low risk |
| Leon, 2016 [ | France | 2004 and 2011 | IDU | – | 1242 | 43.40 (39.00–47.90) | Low risk |
| Weill-Barillet, 2016 [ | France | 2011 | Drug users having injected or snorted drugs at least once in their life | 39.0(−) | 960 | 64.00 (59.20–68.20) | Low risk |
| Sypasa, 2017 [ | Greece | 2012–2013 | During an HIV outbreak among PWID in Athens | – | 431 | 49.90 (45.00–54.70) | High risk |
| Sheka, 2014 [ | Greece | January 1997–December 2007 | Intravenous drug users who attended the Greek Organisation against Drugs | – | 2668 | 72.20 (–) | High risk |
| Derks, 2018 [ | Germany | 2011–2014 | Current injectors in 8 German cities | – | 1318 | 64.60 (–) | Low risk |
| Tarjan, 2017 [ | Hungary | 2011 and 2014 | PWID injecting in the last month and attending SEPs or drug treatment centres | – | 365 | 65.00 (–) | Low risk |
| Handanagic, 2016 [ | Croatia | November 2014–February 2015 | PWID in the cities of Zagreb, Split and Rijeka | – | 399 | 38.30 (31.40–44.30) | Low risk |
| Kaberg, 2017 [ | Sweden | 7 April 2013–16 October 2014 | PWID in the Stockholm needle exchange program (NEP) | 39.3(1) | 1386 | 82.00 (–) | High risk |
| Keegan, 2017 [ | Ireland | 31 January 2015 | Patients attending agonist opioid treatment in a clinic in Dublin | 50.2(18.3) | 228 | 63.60 (–) | High risk |
| Skocibusic, 2016 [ | Bosnia and Herzegovina | – | PWID of both sexes included in opiate substitution treatment in the southern part of Bosnia and Herzegovina | – | 120 | 52.50 (–) | High risk |
| Svendsen, 2017 [ | Norway | September 2015–November 2016 | PWID in local opioid substitution clinic and day centres in Trondheim, Norway | – | 304 | 41.00 (–) | High risk |
| Nosotti, 2016 [ | Italy | – | IDU sample in Rome | – | 261 | 41.70 (–) | High risk |
Estimates of anti-HCV prevalence by population and by country
| Country | Included references | Selected references | Sample size | Anti-HCV prevalence (%) (95% CI) | Baseline sample size | Baseline prevalence (%) (95% CI) |
|---|---|---|---|---|---|---|
| General population | ||||||
| Spain | 3 | Single low risk | 13678 | 0.8 (0.65–0.95) [ | 364 | 1.1(0.3–2.8) [ |
| Italy | 2 | Pooled low risk | 12444 | 1.37 (1.17–1.58) [ | 4826 | 5.9(5.2–6.6) [ |
| Poland | 2 | Single high risk | 61805 | 1.5 (1.4–1.6) [ | – | – |
| Czech Republic | 1 | Single low risk | 3000 | 1.67 (1.21–2.13) [ | – | – |
| Portugal | 1 | Single low risk | 1627 | 0.54 (0.18–0.9) [ | – | – |
| Netherlands | 1 | Single high risk | 6036 | 0.56 (0.37–0.75) [ | 4046 | 0.1(0.0–0.2) [ |
| Ireland | 1 | Single low risk | 3795 | 0.98 (0.67–1.29) [ | 1478 | 0.1(0.0–0.4) [ |
| Pregnant women | ||||||
| UK | 2 | Single low risk | 31467 | 0.1 (0.06–0.13) [ | 110621 | 1 [ |
| Slovenia | 1 | Single low risk | 31849 | 0.13 (0.09–0.17) [ | 90 | 4.4 [ |
| Italy | 1 | Single high risk | 5184 | 0.2 (0.08–0.32) [ | 10881 | 1.7 (1.4–1.9) [ |
| Poland | 1 | Single low risk | 38309 | 0.76 (0.67–0.85) [ | 1534 | 0.1 (0.0–0.3) [ |
| Sweden | 1 | Single low risk | 4112 | 0.27 (0.11–0.43) [ | – | – |
| Spain | 1 | Single low risk | 21379 | 0.55 (0.45–0.65) [ | – | – |
| First-time blood donors | ||||||
| Italy | 1 | Single low risk | 1934612 | 0.09 (0.08–0.09) [ | – | 0.094 (0.085–0.104) [ |
| Greece | 1 | Single high risk | 3838919 | 0.03 (0.03–0.03) [ | – | 1.202 (1.114–1.295) [ |
| MSM | ||||||
| Netherlands | 1 | Single high risk | 439 | 7.1 (4.69–9.51) [ | – | – |
| UK | 1 | Single low risk | 1140 | 1.8 (1.03–2.57) [ | – | – |
| France | 1 | Single low risk | 13051 | 5.1 (4.72–5.48) [ | – | – |
| Prisoner | ||||||
| UK | 2 | Pooled high risk | 1484 | 7.9 (6.53–9.28) [ | 5450 | 17.7(16.4–18.4) [ |
| Portugal | 2 | Pooled high risk | 82 | 16.51 (8.42–24.6) [ | 151 | 34.4(26.9–42.6) [ |
| Norway | 1 | Single high risk | 62 | 51.6 (39.06–64.14) [ | ||
| Spain | 1 | Single high risk | 436 | 16 (12.55–19.45) [ | – | 22.7(18.3–27.1) [ |
| PWID | ||||||
| UK | 3 | Pooled low risk | 1818 | 36.5 (34.29–38.72) [ | 3144 | 49.1 (47.4–50.9) [ |
| France | 2 | Pooled low risk | 3015 | 57.26 (55.49–59.02) [ | – | – |
| Spain | 2 | Single low risk | 754 | 72 (68.79–75.21) [ | – | – |
| Greece | 2 | Pooled high risk | 3099 | 69.67 (68.05–71.29) [ | 1309 | 68.1 (65.5–70.6) [ |
| Germany | 1 | Pooled low risk from a single study | 1526 | 66.18 (63.8–68.55) [ | – | – |
| Italy | 1 | Single high risk | 261 | 47.1 (41.03–53.17) [ | 743 | 60.5 (56.8–64.0) [ |
| Hungary | 1 | Single low risk | 755 | 48.24 (44.67–51.81) [ | 652 | 24.1 (20.8–27.6) [ |
| Croatia | 1 | Pooled low risk from a single study | 830 | 34.04 (30.81–37.26) [ | 200 | 44 (37.0–51.2) [ |
| Sweden | 1 | Single high risk | 1386 | 82 (79.98–84.02) [ | – | – |
| Ireland | 1 | Single high risk | 228 | 63.6 (57.34–69.86) [ | 200 | 41.5 (34.6–48.7) [ |
| Bosnia and Herzegovina | 1 | Single high risk | 120 | 52.5 (43.53–61.47) [ | – | – |
| Norway | 1 | Single high risk | 304 | 41 (35.46–46.54) [ | 6342 | 63.0 (61.8–64.2) |