Abstract
Background: Since the release of the first global hepatitis elimination targets in 2016, and until the COVID-19 pandemic started in early 2020, many countries and territories were making progress toward hepatitis C virus (HCV) elimination. This study aims to evaluate HCV burden in 2020, and forecast HCV burden by 2030 given current trends. Methods: This analysis includes a literature review, Delphi process, and mathematical modelling to estimate HCV prevalence (viraemic infection, defined as HCV RNA-positive cases) and the cascade of care among people of all ages (age ≥0 years from birth) for the period between Jan 1, 2015, and Dec 31, 2030. Epidemiological data were collected from published sources and grey literature (including government reports and personal communications) and were validated among country and territory experts. A Markov model was used to forecast disease burden and cascade of care from 1950 to 2050 for countries and territories with data. Model outcomes were extracted from 2015 to 2030 to calculate population-weighted regional averages, which were used for countries or territories without data. Regional and global estimates of HCV prevalence, cascade of care, and disease burden were calculated based on 235 countries and territories. Findings: Models were built for 110 countries or territories: 83 were approved by local experts and 27 were based on published data alone. Using data from these models, plus population-weighted regional averages for countries and territories without models (n=125), we estimated a global prevalence of viraemic HCV infection of 0·7% (95% UI 0·7–0·9), corresponding to 56·8 million (95% UI 55·2–67·8) infections, on Jan 1, 2020. This number represents a decrease of 6·8 million viraemic infections from a 2015 (beginning of year) prevalence estimate of 63·6 million (61·8–75·8) infections (0·9% [0·8–1·0] prevalence). By the end of 2020, an estimated 12·9 million (12·5–15·4) people were living with a diagnosed viraemic infection. In 2020, an estimated 641 000 (623 000–765 000) patients initiated treatment. Interpretation: At the beginning of 2020, there were an estimated 56·8 million viraemic HCV infections globally. Although this number represents a decrease from 2015, our forecasts suggest we are not currently on track to achieve global elimination targets by 2030. As countries recover from COVID-19, these findings can help refocus efforts aimed at HCV elimination. Funding: John C Martin Foundation, Gilead Sciences, AbbVie, ZeShan Foundation, and The Hepatitis Fund.
Original language | English |
---|---|
Pages (from-to) | 396-415 |
Number of pages | 20 |
Journal | The Lancet Gastroenterology & Hepatology |
Volume | 7 |
Issue number | 5 |
DOIs | |
Publication status | Published - May 2022 |
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In: The Lancet Gastroenterology & Hepatology, Vol. 7, No. 5, 05.2022, p. 396-415.
Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Global change in hepatitis C virus prevalence and cascade of care between 2015 and 2020
T2 - a modelling study
AU - Blach, Sarah
AU - Terrault, Norah A.
AU - Tacke, Frank
AU - Gamkrelidze, Ivane
AU - Craxi, Antonio
AU - Tanaka, Junko
AU - Waked, Imam
AU - Dore, Gregory J.
AU - Abbas, Zaigham
AU - Abdallah, Ayat R.
AU - Abdulla, Maheeba
AU - Aghemo, Alessio
AU - Aho, Inka
AU - Akarca, Ulus S.
AU - Alalwan, Abduljaleel M.
AU - Alanko Blomé, Marianne
AU - Al-Busafi, Said A.
AU - Aleman, Soo
AU - Alghamdi, Abdullah S.
AU - Al-Hamoudi, Waleed K.
AU - Aljumah, Abdulrahman A.
AU - Al-Naamani, Khalid
AU - Al Serkal, Yousif M.
AU - Altraif, Ibrahim H.
AU - Anand, Anil C.
AU - Anderson, Motswedi
AU - Andersson, Monique I.
AU - Athanasakis, Kostas
AU - Baatarkhuu, Oidov
AU - Bakieva, Shokhista R.
AU - Ben-Ari, Ziv
AU - Bessone, Fernando
AU - Biondi, Mia J.
AU - Bizri, Abdul Rahman N.
AU - Brandão-Mello, Carlos E.
AU - Brigida, Krestina
AU - Brown, Kimberly A.
AU - Brown,, Robert S.
AU - Bruggmann, Philip
AU - Brunetto, Maurizia R.
AU - Busschots, Dana
AU - Buti, Maria
AU - Butsashvili, Maia
AU - Cabezas, Joaquin
AU - Chae, Chungman
AU - Chaloska Ivanova, Viktorija
AU - Chan, Henry Lik Yuen
AU - Cheinquer, Hugo
AU - Cheng, Kent Jason
AU - Cheon, Myeong Eun
AU - Chien, Cheng Hung
AU - Chien, Rong Nan
AU - Choudhuri, Gourdas
AU - Christensen, Peer Brehm
AU - Chuang, Wan Long
AU - Chulanov, Vladimir
AU - Cisneros, Laura E.
AU - Coco, Barbara
AU - Contreras, Fernando A.
AU - Cornberg, Markus
AU - Cramp, Matthew E.
AU - Crespo, Javier
AU - Cui, Fuqiang
AU - Cunningham, Chris W.
AU - Dagher Abou, Lucy
AU - Dalgard, Olav
AU - Dao, Doan Y.
AU - De Ledinghen, Victor
AU - Derbala, Moutaz F.
AU - Deuba, Keshab
AU - Dhindsa, Karan
AU - Djauzi, Samsuridjal
AU - Drazilova, Sylvia
AU - Duberg, Ann Sofi
AU - Elbadri, Mohammed
AU - El-Sayed, Manal H.
AU - Esmat, Gamal
AU - Estes, Chris
AU - Ezzat, Sameera
AU - Färkkilä, Martti A.
AU - Ferradini, Laurent
AU - Ferraz, Maria Lucia G.
AU - Ferreira, Paulo R.A.
AU - Filipec Kanizaj, Tajana
AU - Flisiak, Robert
AU - Frankova, Sona
AU - Fung, James
AU - Gamkrelidze, Amiran
AU - Gane, Edward
AU - Garcia, Virginia
AU - García-Samaniego, Javier
AU - Gemilyan, Manik
AU - Genov, Jordan
AU - Gheorghe, Liliana S.
AU - Gholam, Pierre M.
AU - Goldis, Adrian
AU - Gottfredsson, Magnus
AU - Gray, Richard T.
AU - Grebely, Jason
AU - Gschwantler, Michael
AU - Hajarizadeh, Behzad
AU - Hamid, Saeed S.
AU - Hamoudi, Waseem
AU - Hatzakis, Angelos
AU - Hellard, Margaret E.
AU - Himatt, Sayed
AU - Hofer, Harald
AU - Hrstic, Irena
AU - Hunyady, Bela
AU - Husa, Petr
AU - Husic-Selimovic, Azra
AU - Jafri, Wasim S.M.
AU - Janicko, Martin
AU - Janjua, Naveed
AU - Jarcuska, Peter
AU - Jaroszewicz, Jerzy
AU - Jerkeman, Anna
AU - Jeruma, Agita
AU - Jia, Jidong
AU - Jonasson, Jon G.
AU - Kåberg, Martin
AU - Kaita, Kelly D.E.
AU - Kaliaskarova, Kulpash S.
AU - Kao, Jia Horng
AU - Kasymov, Omor T.
AU - Kelly-Hanku, Angela
AU - Khamis, Faryal
AU - Khamis, Jawad
AU - Khan, Aamir G.
AU - Khandu, Lekey
AU - Khoudri, Ibtissam
AU - Kielland, Knut B.
AU - Kim, Do Young
AU - Kodjoh, Nicolas
AU - Kondili, Loreta A.
AU - Krajden, Mel
AU - Krarup, Henrik Bygum
AU - Kristian, Pavol
AU - Kwon, Jisoo A.
AU - Lagging, Martin
AU - Laleman, Wim
AU - Lao, Wai Cheung
AU - Lavanchy, Daniel
AU - Lázaro, Pablo
AU - Lazarus, Jeffrey V.
AU - Lee, Alice U.
AU - Lee, Mei Hsuan
AU - Li, Michael K.K.
AU - Liakina, Valentina
AU - Lim, Young Suk
AU - Löve, Arthur
AU - Lukšić, Boris
AU - Machekera, Shepherd Mufudzi
AU - Malu, Abraham O.
AU - Marinho, Rui T.
AU - Maticic, Mojca
AU - Mekonnen, Hailemichael D.
AU - Mendes-Correa, Maria Cássia
AU - Mendez-Sanchez, Nahum
AU - Merat, Shahin
AU - Meshesha, Berhane Redae
AU - Midgard, Håvard
AU - Mills, Mike
AU - Mohamed, Rosmawati
AU - Mooneyhan, Ellen
AU - Moreno, Christophe
AU - Muljono, David H.
AU - Müllhaupt, Beat
AU - Musabaev, Erkin
AU - Muyldermans, Gaëtan
AU - Nartey, Yvonne Ayerki
AU - Naveira, Marcelo C.M.
AU - Negro, Francesco
AU - Nersesov, Alexander V.
AU - Njouom, Richard
AU - Ntagirabiri, Rénovat
AU - Nurmatov, Zuridin S.
AU - Obekpa, Solomon A.
AU - Oguche, Stephen
AU - Olafsson, Sigurdur
AU - Ong, Janus P.
AU - Opare-Sem, Ohene K.
AU - Orrego, Mauricio
AU - Øvrehus, Anne L.
AU - Pan, Calvin Q.
AU - Papatheodoridis, George V.
AU - Peck-Radosavljevic, Markus
AU - Pessoa, Mário G.
AU - Phillips, Richard O.
AU - Pimenov, Nikolay
AU - Plaseska-Karanfilska, Dijana
AU - Prabdial-Sing, Nishi N.
AU - Puri, Pankaj
AU - Qureshi, Huma
AU - Rahman, Aninda
AU - Ramji, Alnoor
AU - Razavi-Shearer, Devin M.
AU - Razavi-Shearer, Kathryn
AU - Ridruejo, Ezequiel
AU - Ríos-Hincapié, Cielo Y.
AU - Rizvi, S. M.Shahriar
AU - Robaeys, Geert K.M.M.
AU - Roberts, Lewis R.
AU - Roberts, Stuart K.
AU - Ryder, Stephen D.
AU - Sadirova, Shakhlo
AU - Saeed, Umar
AU - Safadi, Rifaat
AU - Sagalova, Olga
AU - Said, Sanaa S.
AU - Salupere, Riina
AU - Sanai, Faisal M.
AU - Sanchez-Avila, Juan F.
AU - Saraswat, Vivek A.
AU - Sarrazin, Christoph
AU - Sarybayeva, Gulya
AU - Seguin-Devaux, Carole
AU - Sharara, Ala I.
AU - Sheikh, Mahdi
AU - Shewaye, Abate B.
AU - Sievert, William
AU - Simojoki, Kaarlo
AU - Simonova, Marieta Y.
AU - Sonderup, Mark W.
AU - Spearman, C. Wendy
AU - Sperl, Jan
AU - Stauber, Rudolf E.
AU - Stedman, Catherine A.M.
AU - Su, Tung Hung
AU - Suleiman, Anita
AU - Sypsa, Vana
AU - Tamayo Antabak, Natalia
AU - Tan, Soek Siam
AU - Tergast, Tammo L.
AU - Thurairajah, Prem H.
AU - Tolmane, Ieva
AU - Tomasiewicz, Krzysztof
AU - Tsereteli, Maia
AU - Uzochukwu, Benjamin S.C.
AU - Van De Vijver, David A.M.C.
AU - Van Santen, Daniela K.
AU - Van Vlierberghe, Hans
AU - Van Welzen, Berend
AU - Vanwolleghem, Thomas
AU - Vélez-Möller, Patricia
AU - Villamil, Federico
AU - Vince, Adriana
AU - Waheed, Yasir
AU - Weis, Nina
AU - Wong, Vincent W.S.
AU - The Polaris Observatory HCV Collaborators
N1 - Funding Information: This analysis was funded by a grant from the John C Martin Foundation (2019-G024) through the Polaris Observatory for low-income and middle-income countries. Grants for analyses in high-income countries and territories were provided by Gilead Sciences (IN-US-987–5808) and AbbVie (4200907861). ZeShan Foundation (2021–0101–1-CDA-HEP-10) supported country and regional analyses in Asia and The Hepatitis Fund supported country and regional analyses in Africa. We thank the Epidemiological Research Group on the Burden of Viral Hepatitis and Measures for its Elimination (grant number 19HC1001; led by JT) funded by the Ministry of Health, Labour and Welfare of Japan. We thank the contributors included in the appendix (pp 2–3), who contributed to the country or territory analyses but did not meet authorship requirements. Editorial note: the Lancet Group takes a neutral position with respect to territorial claims in published maps, tables, and institutional affiliations. Funding Information: This analysis was funded by a grant from the John C Martin Foundation (2019-G024) through the Polaris Observatory for low-income and middle-income countries. Grants for analyses in high-income countries and territories were provided by Gilead Sciences (IN-US-987–5808) and AbbVie (4200907861). ZeShan Foundation (2021–0101–1-CDA-HEP-10) supported country and regional analyses in Asia and The Hepatitis Fund supported country and regional analyses in Africa. We thank the Epidemiological Research Group on the Burden of Viral Hepatitis and Measures for its Elimination (grant number 19HC1001; led by JT) funded by the Ministry of Health, Labour and Welfare of Japan. We thank the contributors included in the appendix (pp 2–3) , who contributed to the country or territory analyses but did not meet authorship requirements. Publisher Copyright: © 2022 Elsevier Ltd
PY - 2022/5
Y1 - 2022/5
N2 - Background: Since the release of the first global hepatitis elimination targets in 2016, and until the COVID-19 pandemic started in early 2020, many countries and territories were making progress toward hepatitis C virus (HCV) elimination. This study aims to evaluate HCV burden in 2020, and forecast HCV burden by 2030 given current trends. Methods: This analysis includes a literature review, Delphi process, and mathematical modelling to estimate HCV prevalence (viraemic infection, defined as HCV RNA-positive cases) and the cascade of care among people of all ages (age ≥0 years from birth) for the period between Jan 1, 2015, and Dec 31, 2030. Epidemiological data were collected from published sources and grey literature (including government reports and personal communications) and were validated among country and territory experts. A Markov model was used to forecast disease burden and cascade of care from 1950 to 2050 for countries and territories with data. Model outcomes were extracted from 2015 to 2030 to calculate population-weighted regional averages, which were used for countries or territories without data. Regional and global estimates of HCV prevalence, cascade of care, and disease burden were calculated based on 235 countries and territories. Findings: Models were built for 110 countries or territories: 83 were approved by local experts and 27 were based on published data alone. Using data from these models, plus population-weighted regional averages for countries and territories without models (n=125), we estimated a global prevalence of viraemic HCV infection of 0·7% (95% UI 0·7–0·9), corresponding to 56·8 million (95% UI 55·2–67·8) infections, on Jan 1, 2020. This number represents a decrease of 6·8 million viraemic infections from a 2015 (beginning of year) prevalence estimate of 63·6 million (61·8–75·8) infections (0·9% [0·8–1·0] prevalence). By the end of 2020, an estimated 12·9 million (12·5–15·4) people were living with a diagnosed viraemic infection. In 2020, an estimated 641 000 (623 000–765 000) patients initiated treatment. Interpretation: At the beginning of 2020, there were an estimated 56·8 million viraemic HCV infections globally. Although this number represents a decrease from 2015, our forecasts suggest we are not currently on track to achieve global elimination targets by 2030. As countries recover from COVID-19, these findings can help refocus efforts aimed at HCV elimination. Funding: John C Martin Foundation, Gilead Sciences, AbbVie, ZeShan Foundation, and The Hepatitis Fund.
AB - Background: Since the release of the first global hepatitis elimination targets in 2016, and until the COVID-19 pandemic started in early 2020, many countries and territories were making progress toward hepatitis C virus (HCV) elimination. This study aims to evaluate HCV burden in 2020, and forecast HCV burden by 2030 given current trends. Methods: This analysis includes a literature review, Delphi process, and mathematical modelling to estimate HCV prevalence (viraemic infection, defined as HCV RNA-positive cases) and the cascade of care among people of all ages (age ≥0 years from birth) for the period between Jan 1, 2015, and Dec 31, 2030. Epidemiological data were collected from published sources and grey literature (including government reports and personal communications) and were validated among country and territory experts. A Markov model was used to forecast disease burden and cascade of care from 1950 to 2050 for countries and territories with data. Model outcomes were extracted from 2015 to 2030 to calculate population-weighted regional averages, which were used for countries or territories without data. Regional and global estimates of HCV prevalence, cascade of care, and disease burden were calculated based on 235 countries and territories. Findings: Models were built for 110 countries or territories: 83 were approved by local experts and 27 were based on published data alone. Using data from these models, plus population-weighted regional averages for countries and territories without models (n=125), we estimated a global prevalence of viraemic HCV infection of 0·7% (95% UI 0·7–0·9), corresponding to 56·8 million (95% UI 55·2–67·8) infections, on Jan 1, 2020. This number represents a decrease of 6·8 million viraemic infections from a 2015 (beginning of year) prevalence estimate of 63·6 million (61·8–75·8) infections (0·9% [0·8–1·0] prevalence). By the end of 2020, an estimated 12·9 million (12·5–15·4) people were living with a diagnosed viraemic infection. In 2020, an estimated 641 000 (623 000–765 000) patients initiated treatment. Interpretation: At the beginning of 2020, there were an estimated 56·8 million viraemic HCV infections globally. Although this number represents a decrease from 2015, our forecasts suggest we are not currently on track to achieve global elimination targets by 2030. As countries recover from COVID-19, these findings can help refocus efforts aimed at HCV elimination. Funding: John C Martin Foundation, Gilead Sciences, AbbVie, ZeShan Foundation, and The Hepatitis Fund.
UR - http://www.scopus.com/inward/record.url?scp=85128487734&partnerID=8YFLogxK
U2 - 10.1016/S2468-1253(21)00472-6
DO - 10.1016/S2468-1253(21)00472-6
M3 - Article
C2 - 35180382
AN - SCOPUS:85128487734
SN - 2468-1253
VL - 7
SP - 396
EP - 415
JO - The Lancet Gastroenterology & Hepatology
JF - The Lancet Gastroenterology & Hepatology
IS - 5
ER -