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Tuberculosis testing patterns in South Africa to identify groups that would benefit from increased investigation
The National Health Laboratory Service (NHLS) collects all public health laboratory test results in South Africa, providing a cohort from which to identify groups, by age, sex, HIV, and viral suppression status, that would benefit from increased tuberculosis (TB) testing. Using NHLS data (2012–2016)...
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description | The National Health Laboratory Service (NHLS) collects all public health laboratory test results in South Africa, providing a cohort from which to identify groups, by age, sex, HIV, and viral suppression status, that would benefit from increased tuberculosis (TB) testing. Using NHLS data (2012–2016), we assessed levels and trends over time in TB diagnostic tests performed (count and per capita) and TB test positivity. Estimates were stratified by HIV status, viral suppression, age, sex, and province. We used logistic regression to estimate the odds of testing positive for TB by viral suppression status. Nineteen million TB diagnostic tests were conducted during period 2012–2016. Testing per capita was lower among PLHIV with viral suppression than those with unsuppressed HIV (0.08 vs 0.32) but lowest among people without HIV (0.03). Test positivity was highest among young adults (aged 15–35 years), males of all age groups, and people with unsuppressed HIV. Test positivity was higher for males without laboratory evidence of HIV than those with HIV viral suppression, despite similar individual odds of TB. Our results are an important national baseline characterizing who received TB testing in South Africa. People without evidence of HIV, young adults, and males would benefit from increased TB screening given their lower testing rates and higher test positivity. These high-test positivity groups can be used to guide future expansions of TB screening. |
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Using NHLS data (2012–2016), we assessed levels and trends over time in TB diagnostic tests performed (count and per capita) and TB test positivity. Estimates were stratified by HIV status, viral suppression, age, sex, and province. We used logistic regression to estimate the odds of testing positive for TB by viral suppression status. Nineteen million TB diagnostic tests were conducted during period 2012–2016. Testing per capita was lower among PLHIV with viral suppression than those with unsuppressed HIV (0.08 vs 0.32) but lowest among people without HIV (0.03). Test positivity was highest among young adults (aged 15–35 years), males of all age groups, and people with unsuppressed HIV. Test positivity was higher for males without laboratory evidence of HIV than those with HIV viral suppression, despite similar individual odds of TB. Our results are an important national baseline characterizing who received TB testing in South Africa. People without evidence of HIV, young adults, and males would benefit from increased TB screening given their lower testing rates and higher test positivity. These high-test positivity groups can be used to guide future expansions of TB screening.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-023-47148-y</identifier><identifier>PMID: 38012266</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/308/174 ; 692/699/255/1856 ; 692/699/255/1901 ; Age ; Diagnostic tests ; HIV ; HIV Infections - diagnosis ; HIV Infections - epidemiology ; Human immunodeficiency virus ; Humanities and Social Sciences ; Humans ; Laboratory tests ; Logistic Models ; Male ; Males ; Mass Screening ; multidisciplinary ; Public health ; Science ; Science (multidisciplinary) ; Sexually transmitted diseases ; South Africa - epidemiology ; STD ; Tuberculosis ; Tuberculosis - diagnosis ; Tuberculosis - epidemiology ; Young Adult ; Young adults</subject><ispartof>Scientific reports, 2023-11, Vol.13 (1), p.20875-20875, Article 20875</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c492t-c32d6ed86013e7cada8f78e67c986a3b85ae53347ebb18df5fb7fe6709affb9d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2894183520/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2894183520?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,38516,43895,44590,53791,53793,74412,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38012266$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shapiro, Anne N.</creatorcontrib><creatorcontrib>Scott, Lesley</creatorcontrib><creatorcontrib>Moultrie, Harry</creatorcontrib><creatorcontrib>Jacobson, Karen R.</creatorcontrib><creatorcontrib>Bor, Jacob</creatorcontrib><creatorcontrib>Fofana, Abdou M.</creatorcontrib><creatorcontrib>Dor, Graeme</creatorcontrib><creatorcontrib>Ndjeka, Norbert O.</creatorcontrib><creatorcontrib>da Silva, Pedro</creatorcontrib><creatorcontrib>Mlisana, Koleka</creatorcontrib><creatorcontrib>Jenkins, Helen E.</creatorcontrib><creatorcontrib>Stevens, Wendy S.</creatorcontrib><title>Tuberculosis testing patterns in South Africa to identify groups that would benefit from increased investigation</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>The National Health Laboratory Service (NHLS) collects all public health laboratory test results in South Africa, providing a cohort from which to identify groups, by age, sex, HIV, and viral suppression status, that would benefit from increased tuberculosis (TB) testing. Using NHLS data (2012–2016), we assessed levels and trends over time in TB diagnostic tests performed (count and per capita) and TB test positivity. Estimates were stratified by HIV status, viral suppression, age, sex, and province. We used logistic regression to estimate the odds of testing positive for TB by viral suppression status. Nineteen million TB diagnostic tests were conducted during period 2012–2016. Testing per capita was lower among PLHIV with viral suppression than those with unsuppressed HIV (0.08 vs 0.32) but lowest among people without HIV (0.03). Test positivity was highest among young adults (aged 15–35 years), males of all age groups, and people with unsuppressed HIV. Test positivity was higher for males without laboratory evidence of HIV than those with HIV viral suppression, despite similar individual odds of TB. Our results are an important national baseline characterizing who received TB testing in South Africa. People without evidence of HIV, young adults, and males would benefit from increased TB screening given their lower testing rates and higher test positivity. These high-test positivity groups can be used to guide future expansions of TB screening.</description><subject>692/308/174</subject><subject>692/699/255/1856</subject><subject>692/699/255/1901</subject><subject>Age</subject><subject>Diagnostic tests</subject><subject>HIV</subject><subject>HIV Infections - diagnosis</subject><subject>HIV Infections - epidemiology</subject><subject>Human immunodeficiency virus</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Laboratory tests</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Males</subject><subject>Mass Screening</subject><subject>multidisciplinary</subject><subject>Public health</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Sexually transmitted diseases</subject><subject>South Africa - epidemiology</subject><subject>STD</subject><subject>Tuberculosis</subject><subject>Tuberculosis - diagnosis</subject><subject>Tuberculosis - epidemiology</subject><subject>Young Adult</subject><subject>Young adults</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kktv1DAUhSMEolXpH2CBLLFhE_AjsZ0VqioelSqxoKytG-c641EmHmynaP497qSUlgXe-Mr3nM_21amq14y-Z1ToD6lhbadrykXdKNbo-vCsOuW0aWsuOH_-qD6pzlPa0rJa3jWse1mdCE0Z51KeVvubpcdolykkn0jGlP08kj3kjHFOxM_ke1jyhly46C2QHIgfcM7eHcgYw7Ivng1k8iss00B6nNH5TFwMu2K1ESHhUKrbO-4I2Yf5VfXCwZTw_H4_q358_nRz-bW-_vbl6vLiurZNx3NtBR8kDlpSJlBZGEA7pVEq22kJotctYCtEo7DvmR5c63rlSpt24FzfDeKsulq5Q4Ct2Ue_g3gwAbw5HoQ4GojZ2wmNE9BLBU70IBsUEkA5wYQVkvJOCSysjytrv_Q7HGwZQITpCfRpZ_YbM4Zbw6jUXEhWCO_uCTH8XMo0zM4ni9MEM4YlGa67RvGWNapI3_4j3YYlzmVWRxXTouW0qPiqsjGkFNE9vIZRcxcQswbElICYY0DMoZjePP7Hg-VPHIpArIJUWvOI8e_d_8H-BmYhymM</recordid><startdate>20231127</startdate><enddate>20231127</enddate><creator>Shapiro, Anne N.</creator><creator>Scott, Lesley</creator><creator>Moultrie, Harry</creator><creator>Jacobson, Karen R.</creator><creator>Bor, Jacob</creator><creator>Fofana, Abdou M.</creator><creator>Dor, Graeme</creator><creator>Ndjeka, Norbert O.</creator><creator>da Silva, Pedro</creator><creator>Mlisana, Koleka</creator><creator>Jenkins, Helen E.</creator><creator>Stevens, Wendy S.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><general>Nature Portfolio</general><scope>C6C</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20231127</creationdate><title>Tuberculosis testing patterns in South Africa to identify groups that would benefit from increased investigation</title><author>Shapiro, Anne N. ; Scott, Lesley ; Moultrie, Harry ; Jacobson, Karen R. ; Bor, Jacob ; Fofana, Abdou M. ; Dor, Graeme ; Ndjeka, Norbert O. ; da Silva, Pedro ; Mlisana, Koleka ; Jenkins, Helen E. ; Stevens, Wendy S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c492t-c32d6ed86013e7cada8f78e67c986a3b85ae53347ebb18df5fb7fe6709affb9d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>692/308/174</topic><topic>692/699/255/1856</topic><topic>692/699/255/1901</topic><topic>Age</topic><topic>Diagnostic tests</topic><topic>HIV</topic><topic>HIV Infections - 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Using NHLS data (2012–2016), we assessed levels and trends over time in TB diagnostic tests performed (count and per capita) and TB test positivity. Estimates were stratified by HIV status, viral suppression, age, sex, and province. We used logistic regression to estimate the odds of testing positive for TB by viral suppression status. Nineteen million TB diagnostic tests were conducted during period 2012–2016. Testing per capita was lower among PLHIV with viral suppression than those with unsuppressed HIV (0.08 vs 0.32) but lowest among people without HIV (0.03). Test positivity was highest among young adults (aged 15–35 years), males of all age groups, and people with unsuppressed HIV. Test positivity was higher for males without laboratory evidence of HIV than those with HIV viral suppression, despite similar individual odds of TB. Our results are an important national baseline characterizing who received TB testing in South Africa. 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subjects | 692/308/174 692/699/255/1856 692/699/255/1901 Age Diagnostic tests HIV HIV Infections - diagnosis HIV Infections - epidemiology Human immunodeficiency virus Humanities and Social Sciences Humans Laboratory tests Logistic Models Male Males Mass Screening multidisciplinary Public health Science Science (multidisciplinary) Sexually transmitted diseases South Africa - epidemiology STD Tuberculosis Tuberculosis - diagnosis Tuberculosis - epidemiology Young Adult Young adults |
title | Tuberculosis testing patterns in South Africa to identify groups that would benefit from increased investigation |
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