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Modelling adverse treatment outcomes of HIV-infected adolescents attending public-sector HIV clinics in Lusaka
Abstract Background In resource-limited setting, there is scarce evidence comparing antiretroviral therapy (ART) outcomes among HIV-infected adolescents to that of other age groups. Methods and study design We analysed data from 25 ART facilities in Lusaka District, comparing treatment-naïve ART-eli...
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description | Abstract Background In resource-limited setting, there is scarce evidence comparing antiretroviral therapy (ART) outcomes among HIV-infected adolescents to that of other age groups. Methods and study design We analysed data from 25 ART facilities in Lusaka District, comparing treatment-naïve ART-eligible young adolescents (10–14 years), older adolescents (15–19) and young adults (20–24 years) initiating first-line ART to those aged 24 years or older. The adjusted relative risk (RR) of failure to achieve an adequate CD4 response (defined as failure to increase CD4 count by ≥ 50 cells/mm3 at 6 months or by ≥ 100 cells/mm3 ) at 6 or 12 months after ART initiation was modelled using log-binomial regression. The effect of age group on mortality and loss to follow-up (LTFUP; ≥60 days since scheduled visit date) was estimated using adjusted Cox proportional hazards models, respectively. This was a routine retrospective design using program data. Results Of the 94,023 patients initiating ART from May 2004 to February 2011, 1303 (1.4%) were young adolescents, 1440 (1.5%) were older adolescents and 5825 (6.2%) were young adults. 85,455 (90.9%) were 24 years or older at the time of ART initiation. Compared with adults, both young adolescents (RR: 0.88, 95% confidence interval [CI]: 0.76–1.01 at 6 months and RR: 0.80, 95% CI: 0.69–0.93 at 12 months) and older adolescents (RR: 0.82, 95% CI: 0.71–0.95 at 6 months) were less likely to achieve adequate CD4 response. No evidence of a difference in mortality risk was observed among older adolescents (hazard ratio [HR] 1.20, 95% CI: 0.93–1.56) compared with adults; however, there was a reduced risk of mortality in young adolescents compared with adults (HR: 0.61, 95% CI: 0.40–0.92). Young adolescents were less likely to be LTFUP following ART initiation (HR: 0.74, 95% CI: 0.59–0.92), while older adolescents and young adults were reported to be more likely to drop out of care (HR: 1.54 95% CI: 1.33–1.78; HR: 1.51 95% CI: 1.40–1.63 respectively). Conclusion Older adolescents and young adults had poorer ART treatment outcomes, including failure to achieve adequate CD4 recovery and failure to remain in long-term care, when compared with adults. Interventions are necessary to help increase outcomes and retention in care. |
doi_str_mv | 10.1016/j.puhe.2017.01.022 |
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fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1887425563</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>1_s2_0_S003335061730029X</els_id><sourcerecordid>1887425563</sourcerecordid><originalsourceid>FETCH-LOGICAL-c439t-10b7774e004d831b6df7e561a341b4a04de78c33d59080b9eb2ab61b869b6f13</originalsourceid><addsrcrecordid>eNp9ks1rFTEUxYMo9rX6D7iQATduZrz5mGQGRChF28ITFxZxF_JxR_M6b_JMZgr9783wahdduAqE3znce84l5A2FhgKVH3bNYfmNDQOqGqANMPaMbKhQsm4llc_JBoDzmrcgT8hpzjsAYIq3L8kJ6wSIFtiGTF-jx3EM06_K-DtMGas5oZn3OM1VXGYX95irOFRX1z_qMA3oZvQFjSNmV5hcmXnGya8Gh8WOwdW5MDGtgsoV4-ByFaZqu2Rza16RF4MZM75-eM_IzZfPNxdX9fbb5fXF-bZ2gvdzTcEqpQQCCN9xaqUfFJalDBfUClN-UXWOc9_20IHt0TJjJbWd7K0cKD8j74-2hxT_LJhnvQ9l3HE0E8Yla9p1SrC2lbyg756gu7ikqQynGbQ9lSCpKBQ7Ui7FnBMO-pDC3qR7TUGvZeidXsvQaxkaqC5lFNHbB-vF7tE_Sv6lX4CPRwBLFHcBk84u4OTQh1RC1D6G__t_eiI_5m3GW7zH_LgH1Zlp0N_Xc1ivgSpeLqH_yf8CtfWvnw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2059160614</pqid></control><display><type>article</type><title>Modelling adverse treatment outcomes of HIV-infected adolescents attending public-sector HIV clinics in Lusaka</title><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><source>ScienceDirect Freedom Collection 2022-2024</source><creator>Fwemba, I ; Musonda, P</creator><creatorcontrib>Fwemba, I ; Musonda, P</creatorcontrib><description>Abstract Background In resource-limited setting, there is scarce evidence comparing antiretroviral therapy (ART) outcomes among HIV-infected adolescents to that of other age groups. Methods and study design We analysed data from 25 ART facilities in Lusaka District, comparing treatment-naïve ART-eligible young adolescents (10–14 years), older adolescents (15–19) and young adults (20–24 years) initiating first-line ART to those aged 24 years or older. The adjusted relative risk (RR) of failure to achieve an adequate CD4 response (defined as failure to increase CD4 count by ≥ 50 cells/mm3 at 6 months or by ≥ 100 cells/mm3 ) at 6 or 12 months after ART initiation was modelled using log-binomial regression. The effect of age group on mortality and loss to follow-up (LTFUP; ≥60 days since scheduled visit date) was estimated using adjusted Cox proportional hazards models, respectively. This was a routine retrospective design using program data. Results Of the 94,023 patients initiating ART from May 2004 to February 2011, 1303 (1.4%) were young adolescents, 1440 (1.5%) were older adolescents and 5825 (6.2%) were young adults. 85,455 (90.9%) were 24 years or older at the time of ART initiation. Compared with adults, both young adolescents (RR: 0.88, 95% confidence interval [CI]: 0.76–1.01 at 6 months and RR: 0.80, 95% CI: 0.69–0.93 at 12 months) and older adolescents (RR: 0.82, 95% CI: 0.71–0.95 at 6 months) were less likely to achieve adequate CD4 response. No evidence of a difference in mortality risk was observed among older adolescents (hazard ratio [HR] 1.20, 95% CI: 0.93–1.56) compared with adults; however, there was a reduced risk of mortality in young adolescents compared with adults (HR: 0.61, 95% CI: 0.40–0.92). Young adolescents were less likely to be LTFUP following ART initiation (HR: 0.74, 95% CI: 0.59–0.92), while older adolescents and young adults were reported to be more likely to drop out of care (HR: 1.54 95% CI: 1.33–1.78; HR: 1.51 95% CI: 1.40–1.63 respectively). Conclusion Older adolescents and young adults had poorer ART treatment outcomes, including failure to achieve adequate CD4 recovery and failure to remain in long-term care, when compared with adults. Interventions are necessary to help increase outcomes and retention in care.</description><identifier>ISSN: 0033-3506</identifier><identifier>EISSN: 1476-5616</identifier><identifier>DOI: 10.1016/j.puhe.2017.01.022</identifier><identifier>PMID: 28404502</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>Adequacy ; Adolescent ; Adolescents ; Adult ; Adults ; Adverse ; Age Factors ; Ambulatory Care Facilities ; Anti-HIV Agents - therapeutic use ; Antiretroviral agents ; Antiretroviral therapy ; CD4 antigen ; CD4 Lymphocyte Count - statistics & numerical data ; Child ; Clinical outcomes ; Clinics ; Confidence intervals ; Data processing ; Female ; Hazards ; HIV ; HIV clinics ; HIV Infections - drug therapy ; HIV Infections - mortality ; HIV-infected ; Human immunodeficiency virus ; Humans ; Immune response ; Infectious Disease ; Internal Medicine ; Long term health care ; Long-term care ; Male ; Modelling ; Mortality ; Outcomes ; Patient Compliance - statistics & numerical data ; Public health ; Public Sector ; Recovery ; Regression analysis ; Retrospective Studies ; Risk ; Risk reduction ; Side effects ; Statistical analysis ; Statistical models ; Teenagers ; Treatment ; Treatment Outcome ; Young Adult ; Young adults ; Zambia - epidemiology</subject><ispartof>Public health (London), 2017-06, Vol.147, p.8-14</ispartof><rights>The Royal Society for Public Health</rights><rights>2017 The Royal Society for Public Health</rights><rights>Copyright © 2017 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Jun 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c439t-10b7774e004d831b6df7e561a341b4a04de78c33d59080b9eb2ab61b869b6f13</citedby><cites>FETCH-LOGICAL-c439t-10b7774e004d831b6df7e561a341b4a04de78c33d59080b9eb2ab61b869b6f13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,30999</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28404502$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fwemba, I</creatorcontrib><creatorcontrib>Musonda, P</creatorcontrib><title>Modelling adverse treatment outcomes of HIV-infected adolescents attending public-sector HIV clinics in Lusaka</title><title>Public health (London)</title><addtitle>Public Health</addtitle><description>Abstract Background In resource-limited setting, there is scarce evidence comparing antiretroviral therapy (ART) outcomes among HIV-infected adolescents to that of other age groups. Methods and study design We analysed data from 25 ART facilities in Lusaka District, comparing treatment-naïve ART-eligible young adolescents (10–14 years), older adolescents (15–19) and young adults (20–24 years) initiating first-line ART to those aged 24 years or older. The adjusted relative risk (RR) of failure to achieve an adequate CD4 response (defined as failure to increase CD4 count by ≥ 50 cells/mm3 at 6 months or by ≥ 100 cells/mm3 ) at 6 or 12 months after ART initiation was modelled using log-binomial regression. The effect of age group on mortality and loss to follow-up (LTFUP; ≥60 days since scheduled visit date) was estimated using adjusted Cox proportional hazards models, respectively. This was a routine retrospective design using program data. Results Of the 94,023 patients initiating ART from May 2004 to February 2011, 1303 (1.4%) were young adolescents, 1440 (1.5%) were older adolescents and 5825 (6.2%) were young adults. 85,455 (90.9%) were 24 years or older at the time of ART initiation. Compared with adults, both young adolescents (RR: 0.88, 95% confidence interval [CI]: 0.76–1.01 at 6 months and RR: 0.80, 95% CI: 0.69–0.93 at 12 months) and older adolescents (RR: 0.82, 95% CI: 0.71–0.95 at 6 months) were less likely to achieve adequate CD4 response. No evidence of a difference in mortality risk was observed among older adolescents (hazard ratio [HR] 1.20, 95% CI: 0.93–1.56) compared with adults; however, there was a reduced risk of mortality in young adolescents compared with adults (HR: 0.61, 95% CI: 0.40–0.92). Young adolescents were less likely to be LTFUP following ART initiation (HR: 0.74, 95% CI: 0.59–0.92), while older adolescents and young adults were reported to be more likely to drop out of care (HR: 1.54 95% CI: 1.33–1.78; HR: 1.51 95% CI: 1.40–1.63 respectively). Conclusion Older adolescents and young adults had poorer ART treatment outcomes, including failure to achieve adequate CD4 recovery and failure to remain in long-term care, when compared with adults. Interventions are necessary to help increase outcomes and retention in care.</description><subject>Adequacy</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Adult</subject><subject>Adults</subject><subject>Adverse</subject><subject>Age Factors</subject><subject>Ambulatory Care Facilities</subject><subject>Anti-HIV Agents - therapeutic use</subject><subject>Antiretroviral agents</subject><subject>Antiretroviral therapy</subject><subject>CD4 antigen</subject><subject>CD4 Lymphocyte Count - statistics & numerical data</subject><subject>Child</subject><subject>Clinical outcomes</subject><subject>Clinics</subject><subject>Confidence intervals</subject><subject>Data processing</subject><subject>Female</subject><subject>Hazards</subject><subject>HIV</subject><subject>HIV clinics</subject><subject>HIV Infections - drug therapy</subject><subject>HIV Infections - mortality</subject><subject>HIV-infected</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Immune response</subject><subject>Infectious Disease</subject><subject>Internal Medicine</subject><subject>Long term health care</subject><subject>Long-term care</subject><subject>Male</subject><subject>Modelling</subject><subject>Mortality</subject><subject>Outcomes</subject><subject>Patient Compliance - statistics & numerical data</subject><subject>Public health</subject><subject>Public Sector</subject><subject>Recovery</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Risk</subject><subject>Risk reduction</subject><subject>Side effects</subject><subject>Statistical analysis</subject><subject>Statistical models</subject><subject>Teenagers</subject><subject>Treatment</subject><subject>Treatment Outcome</subject><subject>Young Adult</subject><subject>Young adults</subject><subject>Zambia - epidemiology</subject><issn>0033-3506</issn><issn>1476-5616</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNp9ks1rFTEUxYMo9rX6D7iQATduZrz5mGQGRChF28ITFxZxF_JxR_M6b_JMZgr9783wahdduAqE3znce84l5A2FhgKVH3bNYfmNDQOqGqANMPaMbKhQsm4llc_JBoDzmrcgT8hpzjsAYIq3L8kJ6wSIFtiGTF-jx3EM06_K-DtMGas5oZn3OM1VXGYX95irOFRX1z_qMA3oZvQFjSNmV5hcmXnGya8Gh8WOwdW5MDGtgsoV4-ByFaZqu2Rza16RF4MZM75-eM_IzZfPNxdX9fbb5fXF-bZ2gvdzTcEqpQQCCN9xaqUfFJalDBfUClN-UXWOc9_20IHt0TJjJbWd7K0cKD8j74-2hxT_LJhnvQ9l3HE0E8Yla9p1SrC2lbyg756gu7ikqQynGbQ9lSCpKBQ7Ui7FnBMO-pDC3qR7TUGvZeidXsvQaxkaqC5lFNHbB-vF7tE_Sv6lX4CPRwBLFHcBk84u4OTQh1RC1D6G__t_eiI_5m3GW7zH_LgH1Zlp0N_Xc1ivgSpeLqH_yf8CtfWvnw</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Fwemba, I</creator><creator>Musonda, P</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</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>7QJ</scope><scope>7QL</scope><scope>7T2</scope><scope>7U9</scope><scope>ASE</scope><scope>C1K</scope><scope>FPQ</scope><scope>H94</scope><scope>K6X</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20170601</creationdate><title>Modelling adverse treatment outcomes of HIV-infected adolescents attending public-sector HIV clinics in Lusaka</title><author>Fwemba, I ; Musonda, P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c439t-10b7774e004d831b6df7e561a341b4a04de78c33d59080b9eb2ab61b869b6f13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adequacy</topic><topic>Adolescent</topic><topic>Adolescents</topic><topic>Adult</topic><topic>Adults</topic><topic>Adverse</topic><topic>Age Factors</topic><topic>Ambulatory Care Facilities</topic><topic>Anti-HIV Agents - therapeutic use</topic><topic>Antiretroviral agents</topic><topic>Antiretroviral therapy</topic><topic>CD4 antigen</topic><topic>CD4 Lymphocyte Count - statistics & numerical data</topic><topic>Child</topic><topic>Clinical outcomes</topic><topic>Clinics</topic><topic>Confidence intervals</topic><topic>Data processing</topic><topic>Female</topic><topic>Hazards</topic><topic>HIV</topic><topic>HIV clinics</topic><topic>HIV Infections - drug therapy</topic><topic>HIV Infections - mortality</topic><topic>HIV-infected</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Immune response</topic><topic>Infectious Disease</topic><topic>Internal Medicine</topic><topic>Long term health care</topic><topic>Long-term care</topic><topic>Male</topic><topic>Modelling</topic><topic>Mortality</topic><topic>Outcomes</topic><topic>Patient Compliance - statistics & numerical data</topic><topic>Public health</topic><topic>Public Sector</topic><topic>Recovery</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Risk</topic><topic>Risk reduction</topic><topic>Side effects</topic><topic>Statistical analysis</topic><topic>Statistical models</topic><topic>Teenagers</topic><topic>Treatment</topic><topic>Treatment Outcome</topic><topic>Young Adult</topic><topic>Young adults</topic><topic>Zambia - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fwemba, I</creatorcontrib><creatorcontrib>Musonda, P</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>British Nursing Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>British Nursing Index</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Public health (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fwemba, I</au><au>Musonda, P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling adverse treatment outcomes of HIV-infected adolescents attending public-sector HIV clinics in Lusaka</atitle><jtitle>Public health (London)</jtitle><addtitle>Public Health</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>147</volume><spage>8</spage><epage>14</epage><pages>8-14</pages><issn>0033-3506</issn><eissn>1476-5616</eissn><abstract>Abstract Background In resource-limited setting, there is scarce evidence comparing antiretroviral therapy (ART) outcomes among HIV-infected adolescents to that of other age groups. Methods and study design We analysed data from 25 ART facilities in Lusaka District, comparing treatment-naïve ART-eligible young adolescents (10–14 years), older adolescents (15–19) and young adults (20–24 years) initiating first-line ART to those aged 24 years or older. The adjusted relative risk (RR) of failure to achieve an adequate CD4 response (defined as failure to increase CD4 count by ≥ 50 cells/mm3 at 6 months or by ≥ 100 cells/mm3 ) at 6 or 12 months after ART initiation was modelled using log-binomial regression. The effect of age group on mortality and loss to follow-up (LTFUP; ≥60 days since scheduled visit date) was estimated using adjusted Cox proportional hazards models, respectively. This was a routine retrospective design using program data. Results Of the 94,023 patients initiating ART from May 2004 to February 2011, 1303 (1.4%) were young adolescents, 1440 (1.5%) were older adolescents and 5825 (6.2%) were young adults. 85,455 (90.9%) were 24 years or older at the time of ART initiation. Compared with adults, both young adolescents (RR: 0.88, 95% confidence interval [CI]: 0.76–1.01 at 6 months and RR: 0.80, 95% CI: 0.69–0.93 at 12 months) and older adolescents (RR: 0.82, 95% CI: 0.71–0.95 at 6 months) were less likely to achieve adequate CD4 response. No evidence of a difference in mortality risk was observed among older adolescents (hazard ratio [HR] 1.20, 95% CI: 0.93–1.56) compared with adults; however, there was a reduced risk of mortality in young adolescents compared with adults (HR: 0.61, 95% CI: 0.40–0.92). Young adolescents were less likely to be LTFUP following ART initiation (HR: 0.74, 95% CI: 0.59–0.92), while older adolescents and young adults were reported to be more likely to drop out of care (HR: 1.54 95% CI: 1.33–1.78; HR: 1.51 95% CI: 1.40–1.63 respectively). Conclusion Older adolescents and young adults had poorer ART treatment outcomes, including failure to achieve adequate CD4 recovery and failure to remain in long-term care, when compared with adults. Interventions are necessary to help increase outcomes and retention in care.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>28404502</pmid><doi>10.1016/j.puhe.2017.01.022</doi><tpages>7</tpages></addata></record> |
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subjects | Adequacy Adolescent Adolescents Adult Adults Adverse Age Factors Ambulatory Care Facilities Anti-HIV Agents - therapeutic use Antiretroviral agents Antiretroviral therapy CD4 antigen CD4 Lymphocyte Count - statistics & numerical data Child Clinical outcomes Clinics Confidence intervals Data processing Female Hazards HIV HIV clinics HIV Infections - drug therapy HIV Infections - mortality HIV-infected Human immunodeficiency virus Humans Immune response Infectious Disease Internal Medicine Long term health care Long-term care Male Modelling Mortality Outcomes Patient Compliance - statistics & numerical data Public health Public Sector Recovery Regression analysis Retrospective Studies Risk Risk reduction Side effects Statistical analysis Statistical models Teenagers Treatment Treatment Outcome Young Adult Young adults Zambia - epidemiology |
title | Modelling adverse treatment outcomes of HIV-infected adolescents attending public-sector HIV clinics in Lusaka |
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