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A mathematical model by route of transmission and fibrosis progression to estimate undiagnosed individuals with HCV in different Italian regions

BACKGROUND: Although an increase in hepatitis C virus (HCV) prevalence from Northern to Southern Italy has been reported, the burden of asymptomatic individuals in different Italian regions is currently unknown. METHODS: A probabilistic approach, including a Markov chain for liver disease progressio...

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Autores principales: Kondili, Loreta A., Andreoni, Massimo, Alberti, Alfredo, Lobello, Salvatore, Babudieri, Sergio, De Michina, Antonella, Merolla, Rocco, Marrocco, Walter, Craxì, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761836/
https://www.ncbi.nlm.nih.gov/pubmed/35038987
http://dx.doi.org/10.1186/s12879-022-07042-w
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author Kondili, Loreta A.
Andreoni, Massimo
Alberti, Alfredo
Lobello, Salvatore
Babudieri, Sergio
De Michina, Antonella
Merolla, Rocco
Marrocco, Walter
Craxì, Antonio
author_facet Kondili, Loreta A.
Andreoni, Massimo
Alberti, Alfredo
Lobello, Salvatore
Babudieri, Sergio
De Michina, Antonella
Merolla, Rocco
Marrocco, Walter
Craxì, Antonio
author_sort Kondili, Loreta A.
collection PubMed
description BACKGROUND: Although an increase in hepatitis C virus (HCV) prevalence from Northern to Southern Italy has been reported, the burden of asymptomatic individuals in different Italian regions is currently unknown. METHODS: A probabilistic approach, including a Markov chain for liver disease progression, was applied to estimate current HCV viraemic burden. The model defined prevalence by geographic area using an estimated annual historical HCV incidence by age, treatment rate, and migration rate from the Italian National database. Viraemic infection by age group was estimated for each region by main HCV transmission routes of individuals for stage F0–F3 (i.e. patients without liver cirrhosis and thus potentially asymptomatic) and F4 (patients with liver cirrhosis, thus potentially symptomatic). RESULTS: By January 2020, it was estimated that there were 409,184 Italian individuals with HCV (prevalence of 0.68%; 95% CI: 0.54–0.82%), of which 300,171 (0.50%; 95% CI: 0.4–0.6%) were stage F0–F3. Considering all individuals with HCV in stage F0–F3, the geographical distributions (expressed as the proportion of HCV infected individuals by macroarea within the overall estimated number of F0–F3 individuals and prevalence values, expressed as the percentage of individuals with HCV versus the overall number of individuals for each macroarea) were as follows: North 42.1% (0.45%; 95% CI: 0.36–0.55%), Central 24.1% (0.61%; 95% CI: 0.48–0.74%), South 23.2% (0.50%; 95% CI: 0.4–0.61%), and the Isles 10.6% (0.49%; 95% CI: 0.39–0.59%). The population of people who inject drugs accounted for 50.4% of all individuals infected (F0–F3). Undiagnosed individuals (F0–F3) were ~ 15 years younger (⁓ 50 years) compared with patients with stage F4 (⁓ 65 years), with similar age distributions across macroareas. In contrast to what has been reported on HCV epidemiology in Italy, an increasing trend in the proportion of potentially undiagnosed individuals with HCV (absolute number within the F0–F3) from South (23.2%) to North (42.1%) emerged, independent of similar regional prevalence values. CONCLUSION: This targeted approach, which addresses the specific profile of undiagnosed individuals, is helpful in planning effective elimination strategies by region in Italy and could be a useful methodology for other countries in implementing their elimination plans. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07042-w.
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spelling pubmed-87618362022-01-18 A mathematical model by route of transmission and fibrosis progression to estimate undiagnosed individuals with HCV in different Italian regions Kondili, Loreta A. Andreoni, Massimo Alberti, Alfredo Lobello, Salvatore Babudieri, Sergio De Michina, Antonella Merolla, Rocco Marrocco, Walter Craxì, Antonio BMC Infect Dis Research BACKGROUND: Although an increase in hepatitis C virus (HCV) prevalence from Northern to Southern Italy has been reported, the burden of asymptomatic individuals in different Italian regions is currently unknown. METHODS: A probabilistic approach, including a Markov chain for liver disease progression, was applied to estimate current HCV viraemic burden. The model defined prevalence by geographic area using an estimated annual historical HCV incidence by age, treatment rate, and migration rate from the Italian National database. Viraemic infection by age group was estimated for each region by main HCV transmission routes of individuals for stage F0–F3 (i.e. patients without liver cirrhosis and thus potentially asymptomatic) and F4 (patients with liver cirrhosis, thus potentially symptomatic). RESULTS: By January 2020, it was estimated that there were 409,184 Italian individuals with HCV (prevalence of 0.68%; 95% CI: 0.54–0.82%), of which 300,171 (0.50%; 95% CI: 0.4–0.6%) were stage F0–F3. Considering all individuals with HCV in stage F0–F3, the geographical distributions (expressed as the proportion of HCV infected individuals by macroarea within the overall estimated number of F0–F3 individuals and prevalence values, expressed as the percentage of individuals with HCV versus the overall number of individuals for each macroarea) were as follows: North 42.1% (0.45%; 95% CI: 0.36–0.55%), Central 24.1% (0.61%; 95% CI: 0.48–0.74%), South 23.2% (0.50%; 95% CI: 0.4–0.61%), and the Isles 10.6% (0.49%; 95% CI: 0.39–0.59%). The population of people who inject drugs accounted for 50.4% of all individuals infected (F0–F3). Undiagnosed individuals (F0–F3) were ~ 15 years younger (⁓ 50 years) compared with patients with stage F4 (⁓ 65 years), with similar age distributions across macroareas. In contrast to what has been reported on HCV epidemiology in Italy, an increasing trend in the proportion of potentially undiagnosed individuals with HCV (absolute number within the F0–F3) from South (23.2%) to North (42.1%) emerged, independent of similar regional prevalence values. CONCLUSION: This targeted approach, which addresses the specific profile of undiagnosed individuals, is helpful in planning effective elimination strategies by region in Italy and could be a useful methodology for other countries in implementing their elimination plans. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07042-w. BioMed Central 2022-01-17 /pmc/articles/PMC8761836/ /pubmed/35038987 http://dx.doi.org/10.1186/s12879-022-07042-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kondili, Loreta A.
Andreoni, Massimo
Alberti, Alfredo
Lobello, Salvatore
Babudieri, Sergio
De Michina, Antonella
Merolla, Rocco
Marrocco, Walter
Craxì, Antonio
A mathematical model by route of transmission and fibrosis progression to estimate undiagnosed individuals with HCV in different Italian regions
title A mathematical model by route of transmission and fibrosis progression to estimate undiagnosed individuals with HCV in different Italian regions
title_full A mathematical model by route of transmission and fibrosis progression to estimate undiagnosed individuals with HCV in different Italian regions
title_fullStr A mathematical model by route of transmission and fibrosis progression to estimate undiagnosed individuals with HCV in different Italian regions
title_full_unstemmed A mathematical model by route of transmission and fibrosis progression to estimate undiagnosed individuals with HCV in different Italian regions
title_short A mathematical model by route of transmission and fibrosis progression to estimate undiagnosed individuals with HCV in different Italian regions
title_sort mathematical model by route of transmission and fibrosis progression to estimate undiagnosed individuals with hcv in different italian regions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761836/
https://www.ncbi.nlm.nih.gov/pubmed/35038987
http://dx.doi.org/10.1186/s12879-022-07042-w
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