Hepatitis C screening and detection program in a large population: Epidemiological transition and characterization of the disease
Introduction Chronic hepatitis C (CHC) is considered an important public health challenge. Traditionally identified risk factors have undergone an epidemiological transition where other risk factors have become the main cause of new infections. Objective To describe risk factors associated to hepati...
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Veröffentlicht in: | Liver international 2023-06, Vol.43 (6), p.1225-1233 |
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creator | Kershenobich, David Higuera‐de‐la Tijera, Fatima Flores, Nayelli Cerda‐Reyes, Eira Castro‐Narro, Graciela Aceves, Guillermo Ruiz‐Lujan, Rodolfo Ramos‐Medina, Salvador Linares, Jesus Azamar‐Alonso, Amilcar Mendez‐Navarro, Jorge Chirino‐Sprung, Ruby |
description | Introduction
Chronic hepatitis C (CHC) is considered an important public health challenge. Traditionally identified risk factors have undergone an epidemiological transition where other risk factors have become the main cause of new infections.
Objective
To describe risk factors associated to hepatitis C positivity through the evaluation of the epidemiological profile in hepatitis‐C high‐risk populations.
Methods
Cross‐sectional study was conducted as part of an HCV screening program in Mexican population. All participants answered an HCV risk‐factor questionnaire and took a rapid test (RT). All patients reactive to the test were subject to HCV PCR (polymerase chain reaction) confirmation. A logistic regression model was used to examine associations between HCV infection and risk factors.
Results
The study included 297 631 participants that completed a risk factor questionnaire and underwent an HCV rapid test (RT). In total, 12 840 (4.5%) were reactive to RT and 9257 (3.2% of participants) were confirmed as positives by PCR test. Of these, 72.9% had at least one risk factor and 10.8% were in prison. Most common risk factors were history of acupuncture/tattooing/piercing (21%), intravenous drug use (15%) and high‐risk sexual practices (12%). Logistic regressions found that having at least one risk factor increased the probability of having an HCV‐positive result by 20% (OR = 1.20, 95% CI: 1.15–1.26), compared to the population without risk factors.
Conclusions
We identified 3.2% of HCV‐viremic subjects, all associated with risk factors and older age. Screening and diagnosis of HCV in high‐risk populations (including underserved populations) should be more efficient. |
doi_str_mv | 10.1111/liv.15570 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2798713087</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2811894034</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3530-9fa6a8ad3d61a87b092af096cd7d73b2b3dfd9510080dbaf923e8a8bd22d7f523</originalsourceid><addsrcrecordid>eNp1kU1P3DAQhi1EBZT2wB9Alri0hwV_JGuHW7WiBWmlXtperYk9WYycONgJFb31n9e7SzlUqi9jaZ55NKOXkDPOLnl5V8E_XfK6VuyAnPBK6YUUkh--_oU8Jm9zfmCMN03Nj8ixVEwsK1adkN-3OMLkJ5_pimabEAc_bCgMjjqc0E4-DnRMcZOgp36gQAOkDdIxjnOAbfea3ozeYe9jiBtvIdApwZD9bnLrsfeQwE6Y_K_dAI0dne6ROp8RMr4jbzoIGd-_1FPy_fPNt9XtYv31y93q03phZS3ZoulgCRqcdEsOWrWsEdCxZmmdckq2opWuc-U6xjRzLXSNkKhBt04Ip7payFPyYe8t1zzOmCfT-2wxBBgwztkI1WjFJdOqoBf_oA9xTkPZzgjNuW4qJqtCfdxTNsWcE3ZmTL6H9Gw4M9tcTMnF7HIp7PmLcW57dK_k3yAKcLUHfvqAz_83mfXdj73yDw9ImSY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2811894034</pqid></control><display><type>article</type><title>Hepatitis C screening and detection program in a large population: Epidemiological transition and characterization of the disease</title><source>MEDLINE</source><source>Wiley Journals</source><creator>Kershenobich, David ; Higuera‐de‐la Tijera, Fatima ; Flores, Nayelli ; Cerda‐Reyes, Eira ; Castro‐Narro, Graciela ; Aceves, Guillermo ; Ruiz‐Lujan, Rodolfo ; Ramos‐Medina, Salvador ; Linares, Jesus ; Azamar‐Alonso, Amilcar ; Mendez‐Navarro, Jorge ; Chirino‐Sprung, Ruby</creator><creatorcontrib>Kershenobich, David ; Higuera‐de‐la Tijera, Fatima ; Flores, Nayelli ; Cerda‐Reyes, Eira ; Castro‐Narro, Graciela ; Aceves, Guillermo ; Ruiz‐Lujan, Rodolfo ; Ramos‐Medina, Salvador ; Linares, Jesus ; Azamar‐Alonso, Amilcar ; Mendez‐Navarro, Jorge ; Chirino‐Sprung, Ruby</creatorcontrib><description>Introduction
Chronic hepatitis C (CHC) is considered an important public health challenge. Traditionally identified risk factors have undergone an epidemiological transition where other risk factors have become the main cause of new infections.
Objective
To describe risk factors associated to hepatitis C positivity through the evaluation of the epidemiological profile in hepatitis‐C high‐risk populations.
Methods
Cross‐sectional study was conducted as part of an HCV screening program in Mexican population. All participants answered an HCV risk‐factor questionnaire and took a rapid test (RT). All patients reactive to the test were subject to HCV PCR (polymerase chain reaction) confirmation. A logistic regression model was used to examine associations between HCV infection and risk factors.
Results
The study included 297 631 participants that completed a risk factor questionnaire and underwent an HCV rapid test (RT). In total, 12 840 (4.5%) were reactive to RT and 9257 (3.2% of participants) were confirmed as positives by PCR test. Of these, 72.9% had at least one risk factor and 10.8% were in prison. Most common risk factors were history of acupuncture/tattooing/piercing (21%), intravenous drug use (15%) and high‐risk sexual practices (12%). Logistic regressions found that having at least one risk factor increased the probability of having an HCV‐positive result by 20% (OR = 1.20, 95% CI: 1.15–1.26), compared to the population without risk factors.
Conclusions
We identified 3.2% of HCV‐viremic subjects, all associated with risk factors and older age. Screening and diagnosis of HCV in high‐risk populations (including underserved populations) should be more efficient.</description><identifier>ISSN: 1478-3223</identifier><identifier>EISSN: 1478-3231</identifier><identifier>DOI: 10.1111/liv.15570</identifier><identifier>PMID: 37026404</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Acupuncture ; care cascade ; Cross-Sectional Studies ; diagnosis ; Epidemiology ; Health risks ; Hepacivirus ; Hepatitis ; Hepatitis C ; Hepatitis C - diagnosis ; Hepatitis C - drug therapy ; Hepatitis C - epidemiology ; hepatitis C virus ; Humans ; Mexico ; people who inject drugs ; Polymerase chain reaction ; Population studies ; Populations ; Prevalence ; Prisons ; Public health ; Questionnaires ; Regression models ; Risk Factors ; screening ; Statistical analysis ; Substance Abuse, Intravenous - complications</subject><ispartof>Liver international, 2023-06, Vol.43 (6), p.1225-1233</ispartof><rights>2023 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.</rights><rights>2023 John Wiley & Sons A/S</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3530-9fa6a8ad3d61a87b092af096cd7d73b2b3dfd9510080dbaf923e8a8bd22d7f523</citedby><cites>FETCH-LOGICAL-c3530-9fa6a8ad3d61a87b092af096cd7d73b2b3dfd9510080dbaf923e8a8bd22d7f523</cites><orcidid>0000-0003-1021-3459 ; 0000-0003-1862-7541 ; 0000-0003-1288-888X ; 0000-0001-7511-5396</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fliv.15570$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fliv.15570$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37026404$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kershenobich, David</creatorcontrib><creatorcontrib>Higuera‐de‐la Tijera, Fatima</creatorcontrib><creatorcontrib>Flores, Nayelli</creatorcontrib><creatorcontrib>Cerda‐Reyes, Eira</creatorcontrib><creatorcontrib>Castro‐Narro, Graciela</creatorcontrib><creatorcontrib>Aceves, Guillermo</creatorcontrib><creatorcontrib>Ruiz‐Lujan, Rodolfo</creatorcontrib><creatorcontrib>Ramos‐Medina, Salvador</creatorcontrib><creatorcontrib>Linares, Jesus</creatorcontrib><creatorcontrib>Azamar‐Alonso, Amilcar</creatorcontrib><creatorcontrib>Mendez‐Navarro, Jorge</creatorcontrib><creatorcontrib>Chirino‐Sprung, Ruby</creatorcontrib><title>Hepatitis C screening and detection program in a large population: Epidemiological transition and characterization of the disease</title><title>Liver international</title><addtitle>Liver Int</addtitle><description>Introduction
Chronic hepatitis C (CHC) is considered an important public health challenge. Traditionally identified risk factors have undergone an epidemiological transition where other risk factors have become the main cause of new infections.
Objective
To describe risk factors associated to hepatitis C positivity through the evaluation of the epidemiological profile in hepatitis‐C high‐risk populations.
Methods
Cross‐sectional study was conducted as part of an HCV screening program in Mexican population. All participants answered an HCV risk‐factor questionnaire and took a rapid test (RT). All patients reactive to the test were subject to HCV PCR (polymerase chain reaction) confirmation. A logistic regression model was used to examine associations between HCV infection and risk factors.
Results
The study included 297 631 participants that completed a risk factor questionnaire and underwent an HCV rapid test (RT). In total, 12 840 (4.5%) were reactive to RT and 9257 (3.2% of participants) were confirmed as positives by PCR test. Of these, 72.9% had at least one risk factor and 10.8% were in prison. Most common risk factors were history of acupuncture/tattooing/piercing (21%), intravenous drug use (15%) and high‐risk sexual practices (12%). Logistic regressions found that having at least one risk factor increased the probability of having an HCV‐positive result by 20% (OR = 1.20, 95% CI: 1.15–1.26), compared to the population without risk factors.
Conclusions
We identified 3.2% of HCV‐viremic subjects, all associated with risk factors and older age. Screening and diagnosis of HCV in high‐risk populations (including underserved populations) should be more efficient.</description><subject>Acupuncture</subject><subject>care cascade</subject><subject>Cross-Sectional Studies</subject><subject>diagnosis</subject><subject>Epidemiology</subject><subject>Health risks</subject><subject>Hepacivirus</subject><subject>Hepatitis</subject><subject>Hepatitis C</subject><subject>Hepatitis C - diagnosis</subject><subject>Hepatitis C - drug therapy</subject><subject>Hepatitis C - epidemiology</subject><subject>hepatitis C virus</subject><subject>Humans</subject><subject>Mexico</subject><subject>people who inject drugs</subject><subject>Polymerase chain reaction</subject><subject>Population studies</subject><subject>Populations</subject><subject>Prevalence</subject><subject>Prisons</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Regression models</subject><subject>Risk Factors</subject><subject>screening</subject><subject>Statistical analysis</subject><subject>Substance Abuse, Intravenous - complications</subject><issn>1478-3223</issn><issn>1478-3231</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kU1P3DAQhi1EBZT2wB9Alri0hwV_JGuHW7WiBWmlXtperYk9WYycONgJFb31n9e7SzlUqi9jaZ55NKOXkDPOLnl5V8E_XfK6VuyAnPBK6YUUkh--_oU8Jm9zfmCMN03Nj8ixVEwsK1adkN-3OMLkJ5_pimabEAc_bCgMjjqc0E4-DnRMcZOgp36gQAOkDdIxjnOAbfea3ozeYe9jiBtvIdApwZD9bnLrsfeQwE6Y_K_dAI0dne6ROp8RMr4jbzoIGd-_1FPy_fPNt9XtYv31y93q03phZS3ZoulgCRqcdEsOWrWsEdCxZmmdckq2opWuc-U6xjRzLXSNkKhBt04Ip7payFPyYe8t1zzOmCfT-2wxBBgwztkI1WjFJdOqoBf_oA9xTkPZzgjNuW4qJqtCfdxTNsWcE3ZmTL6H9Gw4M9tcTMnF7HIp7PmLcW57dK_k3yAKcLUHfvqAz_83mfXdj73yDw9ImSY</recordid><startdate>202306</startdate><enddate>202306</enddate><creator>Kershenobich, David</creator><creator>Higuera‐de‐la Tijera, Fatima</creator><creator>Flores, Nayelli</creator><creator>Cerda‐Reyes, Eira</creator><creator>Castro‐Narro, Graciela</creator><creator>Aceves, Guillermo</creator><creator>Ruiz‐Lujan, Rodolfo</creator><creator>Ramos‐Medina, Salvador</creator><creator>Linares, Jesus</creator><creator>Azamar‐Alonso, Amilcar</creator><creator>Mendez‐Navarro, Jorge</creator><creator>Chirino‐Sprung, Ruby</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7T5</scope><scope>7U9</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1021-3459</orcidid><orcidid>https://orcid.org/0000-0003-1862-7541</orcidid><orcidid>https://orcid.org/0000-0003-1288-888X</orcidid><orcidid>https://orcid.org/0000-0001-7511-5396</orcidid></search><sort><creationdate>202306</creationdate><title>Hepatitis C screening and detection program in a large population: Epidemiological transition and characterization of the disease</title><author>Kershenobich, David ; Higuera‐de‐la Tijera, Fatima ; Flores, Nayelli ; Cerda‐Reyes, Eira ; Castro‐Narro, Graciela ; Aceves, Guillermo ; Ruiz‐Lujan, Rodolfo ; Ramos‐Medina, Salvador ; Linares, Jesus ; Azamar‐Alonso, Amilcar ; Mendez‐Navarro, Jorge ; Chirino‐Sprung, Ruby</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3530-9fa6a8ad3d61a87b092af096cd7d73b2b3dfd9510080dbaf923e8a8bd22d7f523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Acupuncture</topic><topic>care cascade</topic><topic>Cross-Sectional Studies</topic><topic>diagnosis</topic><topic>Epidemiology</topic><topic>Health risks</topic><topic>Hepacivirus</topic><topic>Hepatitis</topic><topic>Hepatitis C</topic><topic>Hepatitis C - diagnosis</topic><topic>Hepatitis C - drug therapy</topic><topic>Hepatitis C - epidemiology</topic><topic>hepatitis C virus</topic><topic>Humans</topic><topic>Mexico</topic><topic>people who inject drugs</topic><topic>Polymerase chain reaction</topic><topic>Population studies</topic><topic>Populations</topic><topic>Prevalence</topic><topic>Prisons</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Regression models</topic><topic>Risk Factors</topic><topic>screening</topic><topic>Statistical analysis</topic><topic>Substance Abuse, Intravenous - complications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kershenobich, David</creatorcontrib><creatorcontrib>Higuera‐de‐la Tijera, Fatima</creatorcontrib><creatorcontrib>Flores, Nayelli</creatorcontrib><creatorcontrib>Cerda‐Reyes, Eira</creatorcontrib><creatorcontrib>Castro‐Narro, Graciela</creatorcontrib><creatorcontrib>Aceves, Guillermo</creatorcontrib><creatorcontrib>Ruiz‐Lujan, Rodolfo</creatorcontrib><creatorcontrib>Ramos‐Medina, Salvador</creatorcontrib><creatorcontrib>Linares, Jesus</creatorcontrib><creatorcontrib>Azamar‐Alonso, Amilcar</creatorcontrib><creatorcontrib>Mendez‐Navarro, Jorge</creatorcontrib><creatorcontrib>Chirino‐Sprung, Ruby</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Immunology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Liver international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kershenobich, David</au><au>Higuera‐de‐la Tijera, Fatima</au><au>Flores, Nayelli</au><au>Cerda‐Reyes, Eira</au><au>Castro‐Narro, Graciela</au><au>Aceves, Guillermo</au><au>Ruiz‐Lujan, Rodolfo</au><au>Ramos‐Medina, Salvador</au><au>Linares, Jesus</au><au>Azamar‐Alonso, Amilcar</au><au>Mendez‐Navarro, Jorge</au><au>Chirino‐Sprung, Ruby</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hepatitis C screening and detection program in a large population: Epidemiological transition and characterization of the disease</atitle><jtitle>Liver international</jtitle><addtitle>Liver Int</addtitle><date>2023-06</date><risdate>2023</risdate><volume>43</volume><issue>6</issue><spage>1225</spage><epage>1233</epage><pages>1225-1233</pages><issn>1478-3223</issn><eissn>1478-3231</eissn><abstract>Introduction
Chronic hepatitis C (CHC) is considered an important public health challenge. Traditionally identified risk factors have undergone an epidemiological transition where other risk factors have become the main cause of new infections.
Objective
To describe risk factors associated to hepatitis C positivity through the evaluation of the epidemiological profile in hepatitis‐C high‐risk populations.
Methods
Cross‐sectional study was conducted as part of an HCV screening program in Mexican population. All participants answered an HCV risk‐factor questionnaire and took a rapid test (RT). All patients reactive to the test were subject to HCV PCR (polymerase chain reaction) confirmation. A logistic regression model was used to examine associations between HCV infection and risk factors.
Results
The study included 297 631 participants that completed a risk factor questionnaire and underwent an HCV rapid test (RT). In total, 12 840 (4.5%) were reactive to RT and 9257 (3.2% of participants) were confirmed as positives by PCR test. Of these, 72.9% had at least one risk factor and 10.8% were in prison. Most common risk factors were history of acupuncture/tattooing/piercing (21%), intravenous drug use (15%) and high‐risk sexual practices (12%). Logistic regressions found that having at least one risk factor increased the probability of having an HCV‐positive result by 20% (OR = 1.20, 95% CI: 1.15–1.26), compared to the population without risk factors.
Conclusions
We identified 3.2% of HCV‐viremic subjects, all associated with risk factors and older age. Screening and diagnosis of HCV in high‐risk populations (including underserved populations) should be more efficient.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>37026404</pmid><doi>10.1111/liv.15570</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1021-3459</orcidid><orcidid>https://orcid.org/0000-0003-1862-7541</orcidid><orcidid>https://orcid.org/0000-0003-1288-888X</orcidid><orcidid>https://orcid.org/0000-0001-7511-5396</orcidid></addata></record> |
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subjects | Acupuncture care cascade Cross-Sectional Studies diagnosis Epidemiology Health risks Hepacivirus Hepatitis Hepatitis C Hepatitis C - diagnosis Hepatitis C - drug therapy Hepatitis C - epidemiology hepatitis C virus Humans Mexico people who inject drugs Polymerase chain reaction Population studies Populations Prevalence Prisons Public health Questionnaires Regression models Risk Factors screening Statistical analysis Substance Abuse, Intravenous - complications |
title | Hepatitis C screening and detection program in a large population: Epidemiological transition and characterization of the disease |
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