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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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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. |
format | Online Article Text |
id | pubmed-8761836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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