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Longitudinal trends of recent HIV-1 infections in Slovenia (1986-2012) determined using an incidence algorithm
Resolving dilemma whether the rise in the number of HIV diagnoses represents an actual increase in HIV transmissions or is a result of improved HIV surveillance is crucial before implementing national HIV prevention strategies. Annual proportions of recent infections (RI) among newly diagnosed perso...
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Published in: | Journal of medical virology 2015-09, Vol.87 (9), p.1510-1516 |
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container_title | Journal of medical virology |
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creator | Lunar, Maja M. Matković, Ivana Tomažič, Janez Vovko, Tomaž D. Pečavar, Blaž Poljak, Mario |
description | Resolving dilemma whether the rise in the number of HIV diagnoses represents an actual increase in HIV transmissions or is a result of improved HIV surveillance is crucial before implementing national HIV prevention strategies. Annual proportions of recent infections (RI) among newly diagnosed persons infected with HIV‐1 in Slovenia during 27 years (1986–2012) were determined using an algorithm consisting of routine baseline CD4 and HIV viral load measurements and the Aware BED EIA HIV‐1 Incidence Test (BED test). The study included the highest coverage of persons diagnosed with HIV during the entire duration of an HIV epidemic in a given country/region (71%). Out of 416 patients, 170 (40.9%) had a baseline CD4 cell count less than 200 cells/mm3 and/or HIV‐1 viral load less than 400 copies/ml and were characterized as having a long‐standing infection (LSI). The remaining 246 patients were additionally tested using the BED test. Overall, 23% (97/416) of the patients were labeled RI. The characteristics significantly associated with RI were as follows: younger age, acute retroviral syndrome, CDC class A and other than C, no AIDS defining illnesses, HIV test performed in the past, a higher viral load, and a higher CD4 cell count. An interesting trend in the proportion of RI was observed, with a peak in 2005 (47% of RI) and the lowest point in 2008 (12%) in parallel with a rise in the numbers of new HIV diagnoses. This study could help promote the idea of introducing periodic HIV incidence monitoring using a simple and affordable algorithm. J. Med. Virol. 87:1510–1516, 2015. © 2015 Wiley Periodicals, Inc. |
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Annual proportions of recent infections (RI) among newly diagnosed persons infected with HIV‐1 in Slovenia during 27 years (1986–2012) were determined using an algorithm consisting of routine baseline CD4 and HIV viral load measurements and the Aware BED EIA HIV‐1 Incidence Test (BED test). The study included the highest coverage of persons diagnosed with HIV during the entire duration of an HIV epidemic in a given country/region (71%). Out of 416 patients, 170 (40.9%) had a baseline CD4 cell count less than 200 cells/mm3 and/or HIV‐1 viral load less than 400 copies/ml and were characterized as having a long‐standing infection (LSI). The remaining 246 patients were additionally tested using the BED test. Overall, 23% (97/416) of the patients were labeled RI. The characteristics significantly associated with RI were as follows: younger age, acute retroviral syndrome, CDC class A and other than C, no AIDS defining illnesses, HIV test performed in the past, a higher viral load, and a higher CD4 cell count. An interesting trend in the proportion of RI was observed, with a peak in 2005 (47% of RI) and the lowest point in 2008 (12%) in parallel with a rise in the numbers of new HIV diagnoses. This study could help promote the idea of introducing periodic HIV incidence monitoring using a simple and affordable algorithm. J. Med. Virol. 87:1510–1516, 2015. © 2015 Wiley Periodicals, Inc.</description><identifier>ISSN: 0146-6615</identifier><identifier>EISSN: 1096-9071</identifier><identifier>DOI: 10.1002/jmv.24209</identifier><identifier>PMID: 25970253</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Adult ; Algorithms ; BED-EIA ; CD4 Lymphocyte Count ; Epidemiology ; Female ; HIV ; HIV Infections - diagnosis ; HIV Infections - epidemiology ; HIV Infections - virology ; HIV-1 ; HIV-1 - genetics ; HIV-1 - isolation & purification ; Human immunodeficiency virus ; Human immunodeficiency virus 1 ; Humans ; Incidence ; Male ; Mass Screening ; Middle Aged ; Population Surveillance ; Slovenia - epidemiology ; surveillance ; Time Factors ; Viral Load ; Virology</subject><ispartof>Journal of medical virology, 2015-09, Vol.87 (9), p.1510-1516</ispartof><rights>2015 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4609-3171341ab11f5824ba579f84278b7adaa824379bf6896b8d67afb83ae14299903</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25970253$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lunar, Maja M.</creatorcontrib><creatorcontrib>Matković, Ivana</creatorcontrib><creatorcontrib>Tomažič, Janez</creatorcontrib><creatorcontrib>Vovko, Tomaž D.</creatorcontrib><creatorcontrib>Pečavar, Blaž</creatorcontrib><creatorcontrib>Poljak, Mario</creatorcontrib><title>Longitudinal trends of recent HIV-1 infections in Slovenia (1986-2012) determined using an incidence algorithm</title><title>Journal of medical virology</title><addtitle>J. Med. Virol</addtitle><description>Resolving dilemma whether the rise in the number of HIV diagnoses represents an actual increase in HIV transmissions or is a result of improved HIV surveillance is crucial before implementing national HIV prevention strategies. Annual proportions of recent infections (RI) among newly diagnosed persons infected with HIV‐1 in Slovenia during 27 years (1986–2012) were determined using an algorithm consisting of routine baseline CD4 and HIV viral load measurements and the Aware BED EIA HIV‐1 Incidence Test (BED test). The study included the highest coverage of persons diagnosed with HIV during the entire duration of an HIV epidemic in a given country/region (71%). Out of 416 patients, 170 (40.9%) had a baseline CD4 cell count less than 200 cells/mm3 and/or HIV‐1 viral load less than 400 copies/ml and were characterized as having a long‐standing infection (LSI). The remaining 246 patients were additionally tested using the BED test. Overall, 23% (97/416) of the patients were labeled RI. The characteristics significantly associated with RI were as follows: younger age, acute retroviral syndrome, CDC class A and other than C, no AIDS defining illnesses, HIV test performed in the past, a higher viral load, and a higher CD4 cell count. An interesting trend in the proportion of RI was observed, with a peak in 2005 (47% of RI) and the lowest point in 2008 (12%) in parallel with a rise in the numbers of new HIV diagnoses. This study could help promote the idea of introducing periodic HIV incidence monitoring using a simple and affordable algorithm. J. Med. Virol. 87:1510–1516, 2015. © 2015 Wiley Periodicals, Inc.</description><subject>Adult</subject><subject>Algorithms</subject><subject>BED-EIA</subject><subject>CD4 Lymphocyte Count</subject><subject>Epidemiology</subject><subject>Female</subject><subject>HIV</subject><subject>HIV Infections - diagnosis</subject><subject>HIV Infections - epidemiology</subject><subject>HIV Infections - virology</subject><subject>HIV-1</subject><subject>HIV-1 - genetics</subject><subject>HIV-1 - isolation & purification</subject><subject>Human immunodeficiency virus</subject><subject>Human immunodeficiency virus 1</subject><subject>Humans</subject><subject>Incidence</subject><subject>Male</subject><subject>Mass Screening</subject><subject>Middle Aged</subject><subject>Population Surveillance</subject><subject>Slovenia - epidemiology</subject><subject>surveillance</subject><subject>Time Factors</subject><subject>Viral Load</subject><subject>Virology</subject><issn>0146-6615</issn><issn>1096-9071</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqF0ctu1DAUBmALgehQWPACyBKbskh7jhPflmgEvTCAxEC7tJzEGTwkTmsnhb49ZqZ0wYaVj-zv9-L8hLxEOEYAdrIdbo9ZxUA_IgsELQoNEh-TBWAlCiGQH5BnKW0BQGnGnpIDxrUExssFCasxbPw0tz7Ynk7RhTbRsaPRNS5M9Oz8skDqQ-eayY8h5ZGu-_HWBW_pEWolCgbI3tDWTS4OPriWzsmHDbUh28a3LjSO2n4zRj99H56TJ53tk3txfx6Sb-_ffV2eFavPp-fLt6uiqQTookSJZYW2Ruy4YlVtudSdqphUtbSttfmulLruhNKiVq2QtqtVaR1WTGsN5SE52v97Hceb2aXJDD41ru9tcOOcDEpADiBQ_58KLRlDzlimr_-h23GOeXE7JaDiwFRWr-7VXA-uNdfRDzbemb9Lz-BkD3763t09vCOYP22a3KbZtWkuPl7uhpwo9gmfJvfrIWHjDyNkKbm5-nRq5Hr5Yf3l4spA-Rto6pz1</recordid><startdate>201509</startdate><enddate>201509</enddate><creator>Lunar, Maja M.</creator><creator>Matković, Ivana</creator><creator>Tomažič, Janez</creator><creator>Vovko, Tomaž D.</creator><creator>Pečavar, Blaž</creator><creator>Poljak, Mario</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7QL</scope><scope>7TK</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>201509</creationdate><title>Longitudinal trends of recent HIV-1 infections in Slovenia (1986-2012) determined using an incidence algorithm</title><author>Lunar, Maja M. ; Matković, Ivana ; Tomažič, Janez ; Vovko, Tomaž D. ; Pečavar, Blaž ; Poljak, Mario</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4609-3171341ab11f5824ba579f84278b7adaa824379bf6896b8d67afb83ae14299903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Algorithms</topic><topic>BED-EIA</topic><topic>CD4 Lymphocyte Count</topic><topic>Epidemiology</topic><topic>Female</topic><topic>HIV</topic><topic>HIV Infections - diagnosis</topic><topic>HIV Infections - epidemiology</topic><topic>HIV Infections - virology</topic><topic>HIV-1</topic><topic>HIV-1 - genetics</topic><topic>HIV-1 - isolation & purification</topic><topic>Human immunodeficiency virus</topic><topic>Human immunodeficiency virus 1</topic><topic>Humans</topic><topic>Incidence</topic><topic>Male</topic><topic>Mass Screening</topic><topic>Middle Aged</topic><topic>Population Surveillance</topic><topic>Slovenia - epidemiology</topic><topic>surveillance</topic><topic>Time Factors</topic><topic>Viral Load</topic><topic>Virology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lunar, Maja M.</creatorcontrib><creatorcontrib>Matković, Ivana</creatorcontrib><creatorcontrib>Tomažič, Janez</creatorcontrib><creatorcontrib>Vovko, Tomaž D.</creatorcontrib><creatorcontrib>Pečavar, Blaž</creatorcontrib><creatorcontrib>Poljak, Mario</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of medical virology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lunar, Maja M.</au><au>Matković, Ivana</au><au>Tomažič, Janez</au><au>Vovko, Tomaž D.</au><au>Pečavar, Blaž</au><au>Poljak, Mario</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Longitudinal trends of recent HIV-1 infections in Slovenia (1986-2012) determined using an incidence algorithm</atitle><jtitle>Journal of medical virology</jtitle><addtitle>J. Med. Virol</addtitle><date>2015-09</date><risdate>2015</risdate><volume>87</volume><issue>9</issue><spage>1510</spage><epage>1516</epage><pages>1510-1516</pages><issn>0146-6615</issn><eissn>1096-9071</eissn><abstract>Resolving dilemma whether the rise in the number of HIV diagnoses represents an actual increase in HIV transmissions or is a result of improved HIV surveillance is crucial before implementing national HIV prevention strategies. Annual proportions of recent infections (RI) among newly diagnosed persons infected with HIV‐1 in Slovenia during 27 years (1986–2012) were determined using an algorithm consisting of routine baseline CD4 and HIV viral load measurements and the Aware BED EIA HIV‐1 Incidence Test (BED test). The study included the highest coverage of persons diagnosed with HIV during the entire duration of an HIV epidemic in a given country/region (71%). Out of 416 patients, 170 (40.9%) had a baseline CD4 cell count less than 200 cells/mm3 and/or HIV‐1 viral load less than 400 copies/ml and were characterized as having a long‐standing infection (LSI). The remaining 246 patients were additionally tested using the BED test. Overall, 23% (97/416) of the patients were labeled RI. The characteristics significantly associated with RI were as follows: younger age, acute retroviral syndrome, CDC class A and other than C, no AIDS defining illnesses, HIV test performed in the past, a higher viral load, and a higher CD4 cell count. An interesting trend in the proportion of RI was observed, with a peak in 2005 (47% of RI) and the lowest point in 2008 (12%) in parallel with a rise in the numbers of new HIV diagnoses. This study could help promote the idea of introducing periodic HIV incidence monitoring using a simple and affordable algorithm. J. Med. 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subjects | Adult Algorithms BED-EIA CD4 Lymphocyte Count Epidemiology Female HIV HIV Infections - diagnosis HIV Infections - epidemiology HIV Infections - virology HIV-1 HIV-1 - genetics HIV-1 - isolation & purification Human immunodeficiency virus Human immunodeficiency virus 1 Humans Incidence Male Mass Screening Middle Aged Population Surveillance Slovenia - epidemiology surveillance Time Factors Viral Load Virology |
title | Longitudinal trends of recent HIV-1 infections in Slovenia (1986-2012) determined using an incidence algorithm |
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