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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Short-term risk of anaemia following initiation of combination antiretroviral treatment in HIV-infected patients in countries in sub-Saharan Africa, Asia-Pacific, and central and South America</title><author><name sortKey="Zhou, Jialun" sort="Zhou, Jialun" uniqKey="Zhou J" first="Jialun" last="Zhou">Jialun Zhou</name><affiliation><nlm:aff id="I1">The Kirby Institute, The University of New South Wales, Sydney, NSW, Australia</nlm:aff></affiliation></author><author><name sortKey="Jaquet, Antoine" sort="Jaquet, Antoine" uniqKey="Jaquet A" first="Antoine" last="Jaquet">Antoine Jaquet</name><affiliation><nlm:aff id="I2">INSERM CRE U 897, Institute of Public Health, Epidemiology & Development (ISPED), Université Victor Ségalen Bordeaux, Bordeaux, France</nlm:aff></affiliation></author><author><name sortKey="Bissagnene, Emmanuel" sort="Bissagnene, Emmanuel" uniqKey="Bissagnene E" first="Emmanuel" last="Bissagnene">Emmanuel Bissagnene</name><affiliation><nlm:aff id="I3">Service de Maladies Infectieuses et Tropicales (SMIT), Centre Hospitalier Universitaire (CHU) de Treichville, Abidjan, Côte d'Ivoire</nlm:aff></affiliation></author><author><name sortKey="Musick, Beverly" sort="Musick, Beverly" uniqKey="Musick B" first="Beverly" last="Musick">Beverly Musick</name><affiliation><nlm:aff id="I4">School of Medicine, Indiana University, Indianapolis, Indiana, USA</nlm:aff></affiliation></author><author><name sortKey="Wools Kaloustian, Kara" sort="Wools Kaloustian, Kara" uniqKey="Wools Kaloustian K" first="Kara" last="Wools-Kaloustian">Kara Wools-Kaloustian</name><affiliation><nlm:aff id="I4">School of Medicine, Indiana University, Indianapolis, Indiana, USA</nlm:aff></affiliation></author><author><name sortKey="Maxwell, Nicola" sort="Maxwell, Nicola" uniqKey="Maxwell N" first="Nicola" last="Maxwell">Nicola Maxwell</name><affiliation><nlm:aff id="I5">School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa</nlm:aff></affiliation></author><author><name sortKey="Boulle, Andrew" sort="Boulle, Andrew" uniqKey="Boulle A" first="Andrew" last="Boulle">Andrew Boulle</name><affiliation><nlm:aff id="I5">School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa</nlm:aff></affiliation></author><author><name sortKey="Wehbe, Firas" sort="Wehbe, Firas" uniqKey="Wehbe F" first="Firas" last="Wehbe">Firas Wehbe</name><affiliation><nlm:aff id="I6">School of Medicine, Vanderbilt University, Nashville, Tennessee, USA</nlm:aff></affiliation></author><author><name sortKey="Masys, Daniel" sort="Masys, Daniel" uniqKey="Masys D" first="Daniel" last="Masys">Daniel Masys</name><affiliation><nlm:aff id="I6">School of Medicine, Vanderbilt University, Nashville, Tennessee, USA</nlm:aff></affiliation></author><author><name sortKey="Iriondo Perez, Jeniffer" sort="Iriondo Perez, Jeniffer" uniqKey="Iriondo Perez J" first="Jeniffer" last="Iriondo-Perez">Jeniffer Iriondo-Perez</name><affiliation><nlm:aff id="I7">RTI International, Research Triangle Park, North Carolina, USA</nlm:aff></affiliation></author><author><name sortKey="Hemingway Foday, Jay" sort="Hemingway Foday, Jay" uniqKey="Hemingway Foday J" first="Jay" last="Hemingway-Foday">Jay Hemingway-Foday</name><affiliation><nlm:aff id="I7">RTI International, Research Triangle Park, North Carolina, USA</nlm:aff></affiliation></author><author><name sortKey="Law, Matthew" sort="Law, Matthew" uniqKey="Law M" first="Matthew" last="Law">Matthew Law</name><affiliation><nlm:aff id="I1">The Kirby Institute, The University of New South Wales, Sydney, NSW, Australia</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">22289654</idno><idno type="pmc">3292983</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292983</idno><idno type="RBID">PMC:3292983</idno><idno type="doi">10.1186/1758-2652-15-5</idno><date when="2012">2012</date><idno type="wicri:Area/Pmc/Corpus">001649</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001649</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Short-term risk of anaemia following initiation of combination antiretroviral treatment in HIV-infected patients in countries in sub-Saharan Africa, Asia-Pacific, and central and South America</title><author><name sortKey="Zhou, Jialun" sort="Zhou, Jialun" uniqKey="Zhou J" first="Jialun" last="Zhou">Jialun Zhou</name><affiliation><nlm:aff id="I1">The Kirby Institute, The University of New South Wales, Sydney, NSW, Australia</nlm:aff></affiliation></author><author><name sortKey="Jaquet, Antoine" sort="Jaquet, Antoine" uniqKey="Jaquet A" first="Antoine" last="Jaquet">Antoine Jaquet</name><affiliation><nlm:aff id="I2">INSERM CRE U 897, Institute of Public Health, Epidemiology & Development (ISPED), Université Victor Ségalen Bordeaux, Bordeaux, France</nlm:aff></affiliation></author><author><name sortKey="Bissagnene, Emmanuel" sort="Bissagnene, Emmanuel" uniqKey="Bissagnene E" first="Emmanuel" last="Bissagnene">Emmanuel Bissagnene</name><affiliation><nlm:aff id="I3">Service de Maladies Infectieuses et Tropicales (SMIT), Centre Hospitalier Universitaire (CHU) de Treichville, Abidjan, Côte d'Ivoire</nlm:aff></affiliation></author><author><name sortKey="Musick, Beverly" sort="Musick, Beverly" uniqKey="Musick B" first="Beverly" last="Musick">Beverly Musick</name><affiliation><nlm:aff id="I4">School of Medicine, Indiana University, Indianapolis, Indiana, USA</nlm:aff></affiliation></author><author><name sortKey="Wools Kaloustian, Kara" sort="Wools Kaloustian, Kara" uniqKey="Wools Kaloustian K" first="Kara" last="Wools-Kaloustian">Kara Wools-Kaloustian</name><affiliation><nlm:aff id="I4">School of Medicine, Indiana University, Indianapolis, Indiana, USA</nlm:aff></affiliation></author><author><name sortKey="Maxwell, Nicola" sort="Maxwell, Nicola" uniqKey="Maxwell N" first="Nicola" last="Maxwell">Nicola Maxwell</name><affiliation><nlm:aff id="I5">School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa</nlm:aff></affiliation></author><author><name sortKey="Boulle, Andrew" sort="Boulle, Andrew" uniqKey="Boulle A" first="Andrew" last="Boulle">Andrew Boulle</name><affiliation><nlm:aff id="I5">School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa</nlm:aff></affiliation></author><author><name sortKey="Wehbe, Firas" sort="Wehbe, Firas" uniqKey="Wehbe F" first="Firas" last="Wehbe">Firas Wehbe</name><affiliation><nlm:aff id="I6">School of Medicine, Vanderbilt University, Nashville, Tennessee, USA</nlm:aff></affiliation></author><author><name sortKey="Masys, Daniel" sort="Masys, Daniel" uniqKey="Masys D" first="Daniel" last="Masys">Daniel Masys</name><affiliation><nlm:aff id="I6">School of Medicine, Vanderbilt University, Nashville, Tennessee, USA</nlm:aff></affiliation></author><author><name sortKey="Iriondo Perez, Jeniffer" sort="Iriondo Perez, Jeniffer" uniqKey="Iriondo Perez J" first="Jeniffer" last="Iriondo-Perez">Jeniffer Iriondo-Perez</name><affiliation><nlm:aff id="I7">RTI International, Research Triangle Park, North Carolina, USA</nlm:aff></affiliation></author><author><name sortKey="Hemingway Foday, Jay" sort="Hemingway Foday, Jay" uniqKey="Hemingway Foday J" first="Jay" last="Hemingway-Foday">Jay Hemingway-Foday</name><affiliation><nlm:aff id="I7">RTI International, Research Triangle Park, North Carolina, USA</nlm:aff></affiliation></author><author><name sortKey="Law, Matthew" sort="Law, Matthew" uniqKey="Law M" first="Matthew" last="Law">Matthew Law</name><affiliation><nlm:aff id="I1">The Kirby Institute, The University of New South Wales, Sydney, NSW, Australia</nlm:aff></affiliation></author></analytic><series><title level="j">Journal of the International AIDS Society</title><idno type="eISSN">1758-2652</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>The objective was to examine the short-term risk and predictors of anaemia following initiation of combination antiretroviral therapy (cART) in HIV-infected patients from the Western Africa, Eastern Africa, Southern Africa, Central Africa, Asian-Pacific, and Caribbean and Central and South America regions of the International Epidemiologic Databases to Evaluate AIDS (IeDEA) collaboration.</p></sec><sec><title>Methods</title><p>Anaemia was defined as haemoglobin of < 10 g/dL. Patients were included if they started cART with three or more drugs, had prior haemoglobin of > = 10 g/dL, and had one or more follow-up haemoglobin tests. Factors associated with anaemia up to 12 months were examined using Cox proportional hazards models and stratified by IeDEA region.</p></sec><sec><title>Results</title><p>Between 1998 and 2008, 19,947 patients initiated cART with baseline and follow-up haemoglobin tests (7358, 7289, 2853, 471, 1550 and 426 in the Western Africa, Eastern Africa, Southern Africa, Central Africa, Asian-Pacific, and Caribbean and Central and South America regions, respectively). At initiation, anaemia was found in 45% of Western Africa patients, 29% of Eastern Africa patients, 21% of Southern Africa patients, 36% of Central Africa patients, 15% of patients in Asian-Pacific and 14% of patients in Caribbean and Central and South America. Among patients with haemoglobin of > = 10 g/dL at baseline (13,445), the risks of anaemia were 18.2, 6.6, 9.7, 22.9, 11.8 and 19.5 per 100 person-years in the Western Africa, Eastern Africa, Southern Africa, Central Africa, Asian, and Caribbean and Central and South America regions, respectively. Factors associated with anaemia were female sex, low baseline haemoglobin level, low baseline CD4 count, more advanced disease stage, and initial cART containing zidovudine.</p></sec><sec><title>Conclusions</title><p>In data from 34 cohorts of HIV-infected patients from sub-Saharan Africa, Central and South America, and Asia, the risk of anaemia within 12 months of initiating cART was moderate. Routine haemoglobin monitoring was recommended in patients at risk of developing anaemia following cART initiation.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Boulle, A" uniqKey="Boulle A">A Boulle</name></author><author><name sortKey="Orrel, C" uniqKey="Orrel C">C Orrel</name></author><author><name sortKey="Kaplan, R" uniqKey="Kaplan R">R Kaplan</name></author><author><name sortKey="Van Cutsem, G" uniqKey="Van Cutsem G">G Van Cutsem</name></author><author><name sortKey="Mcnally, M" uniqKey="Mcnally M">M McNally</name></author><author><name sortKey="Hilderbrand, K" uniqKey="Hilderbrand K">K Hilderbrand</name></author><author><name sortKey="Myer, L" uniqKey="Myer L">L Myer</name></author><author><name sortKey="Egger, M" uniqKey="Egger M">M Egger</name></author><author><name sortKey="Coetzee, D" uniqKey="Coetzee D">D Coetzee</name></author><author><name sortKey="Maartens, 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<front><journal-meta><journal-id journal-id-type="nlm-ta">J Int AIDS Soc</journal-id><journal-id journal-id-type="iso-abbrev">J Int AIDS Soc</journal-id><journal-title-group><journal-title>Journal of the International AIDS Society</journal-title></journal-title-group><issn pub-type="epub">1758-2652</issn><publisher><publisher-name>The International AIDS Society</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">22289654</article-id><article-id pub-id-type="pmc">3292983</article-id><article-id pub-id-type="publisher-id">1758-2652-15-5</article-id><article-id pub-id-type="doi">10.1186/1758-2652-15-5</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research</subject></subj-group></article-categories><title-group><article-title>Short-term risk of anaemia following initiation of combination antiretroviral treatment in HIV-infected patients in countries in sub-Saharan Africa, Asia-Pacific, and central and South America</article-title></title-group><contrib-group><contrib contrib-type="author" id="A1"><name><surname>Zhou</surname><given-names>Jialun</given-names></name><xref ref-type="aff" rid="I1">1</xref><email>jzhou@kirby.unsw.edu.au</email></contrib><contrib contrib-type="author" id="A2"><name><surname>Jaquet</surname><given-names>Antoine</given-names></name><xref ref-type="aff" rid="I2">2</xref><email>Antoine.Jaquet@isped.u-bordeaux2.fr</email></contrib><contrib contrib-type="author" id="A3"><name><surname>Bissagnene</surname><given-names>Emmanuel</given-names></name><xref ref-type="aff" rid="I3">3</xref><email>bissagnene@yahoo.fr</email></contrib><contrib contrib-type="author" id="A4"><name><surname>Musick</surname><given-names>Beverly</given-names></name><xref ref-type="aff" rid="I4">4</xref><email>bsmusick@iupui.edu</email></contrib><contrib contrib-type="author" id="A5"><name><surname>Wools-Kaloustian</surname><given-names>Kara</given-names></name><xref ref-type="aff" rid="I4">4</xref><email>kwools@iupui.edu</email></contrib><contrib contrib-type="author" id="A6"><name><surname>Maxwell</surname><given-names>Nicola</given-names></name><xref ref-type="aff" rid="I5">5</xref><email>nicky.maxwell@uct.ac.za</email></contrib><contrib contrib-type="author" id="A7"><name><surname>Boulle</surname><given-names>Andrew</given-names></name><xref ref-type="aff" rid="I5">5</xref><email>Andrew.Boulle@uct.ac.za</email></contrib><contrib contrib-type="author" id="A8"><name><surname>Wehbe</surname><given-names>Firas</given-names></name><xref ref-type="aff" rid="I6">6</xref><email>firas.wehbe@vanderbilt.edu</email></contrib><contrib contrib-type="author" id="A9"><name><surname>Masys</surname><given-names>Daniel</given-names></name><xref ref-type="aff" rid="I6">6</xref><email>dan.masys@vanderbilt.edu</email></contrib><contrib contrib-type="author" id="A10"><name><surname>Iriondo-Perez</surname><given-names>Jeniffer</given-names></name><xref ref-type="aff" rid="I7">7</xref><email>perez@rti.org</email></contrib><contrib contrib-type="author" id="A11"><name><surname>Hemingway-Foday</surname><given-names>Jay</given-names></name><xref ref-type="aff" rid="I7">7</xref><email>hemingway@rti.org</email></contrib><contrib contrib-type="author" corresp="yes" id="A12"><name><surname>Law</surname><given-names>Matthew</given-names></name><xref ref-type="aff" rid="I1">1</xref><email>Mlaw@kirby.unsw.edu.au</email></contrib><on-behalf-of>the western Africa, eastern Africa, southern Africa, Caribbean and central and South America, and Asia Pacific regions of the International Epidemiologic Databases to Evaluate AIDS (IeDEA)</on-behalf-of></contrib-group><aff id="I1"><label>1</label>The Kirby Institute, The University of New South Wales, Sydney, NSW, Australia</aff><aff id="I2"><label>2</label>INSERM CRE U 897, Institute of Public Health, Epidemiology & Development (ISPED), Université Victor Ségalen Bordeaux, Bordeaux, France</aff><aff id="I3"><label>3</label>Service de Maladies Infectieuses et Tropicales (SMIT), Centre Hospitalier Universitaire (CHU) de Treichville, Abidjan, Côte d'Ivoire</aff><aff id="I4"><label>4</label>School of Medicine, Indiana University, Indianapolis, Indiana, USA</aff><aff id="I5"><label>5</label>School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa</aff><aff id="I6"><label>6</label>School of Medicine, Vanderbilt University, Nashville, Tennessee, USA</aff><aff id="I7"><label>7</label>RTI International, Research Triangle Park, North Carolina, USA</aff><pub-date pub-type="collection"><year>2012</year></pub-date><pub-date pub-type="epub"><day>30</day><month>1</month><year>2012</year></pub-date><volume>15</volume><fpage>5</fpage><lpage>5</lpage><history><date date-type="received"><day>1</day><month>8</month><year>2011</year></date><date date-type="accepted"><day>30</day><month>1</month><year>2012</year></date></history><permissions><copyright-statement>Copyright ©2012 Zhou et al; licensee BioMed Central Ltd.</copyright-statement><copyright-year>2012</copyright-year><copyright-holder>Zhou et al; licensee BioMed Central Ltd.</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/2.0">http://creativecommons.org/licenses/by/2.0</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><self-uri xlink:href="http://www.jiasociety.org/content/15/1/5"></self-uri><abstract><sec><title>Background</title><p>The objective was to examine the short-term risk and predictors of anaemia following initiation of combination antiretroviral therapy (cART) in HIV-infected patients from the Western Africa, Eastern Africa, Southern Africa, Central Africa, Asian-Pacific, and Caribbean and Central and South America regions of the International Epidemiologic Databases to Evaluate AIDS (IeDEA) collaboration.</p></sec><sec><title>Methods</title><p>Anaemia was defined as haemoglobin of < 10 g/dL. Patients were included if they started cART with three or more drugs, had prior haemoglobin of > = 10 g/dL, and had one or more follow-up haemoglobin tests. Factors associated with anaemia up to 12 months were examined using Cox proportional hazards models and stratified by IeDEA region.</p></sec><sec><title>Results</title><p>Between 1998 and 2008, 19,947 patients initiated cART with baseline and follow-up haemoglobin tests (7358, 7289, 2853, 471, 1550 and 426 in the Western Africa, Eastern Africa, Southern Africa, Central Africa, Asian-Pacific, and Caribbean and Central and South America regions, respectively). At initiation, anaemia was found in 45% of Western Africa patients, 29% of Eastern Africa patients, 21% of Southern Africa patients, 36% of Central Africa patients, 15% of patients in Asian-Pacific and 14% of patients in Caribbean and Central and South America. Among patients with haemoglobin of > = 10 g/dL at baseline (13,445), the risks of anaemia were 18.2, 6.6, 9.7, 22.9, 11.8 and 19.5 per 100 person-years in the Western Africa, Eastern Africa, Southern Africa, Central Africa, Asian, and Caribbean and Central and South America regions, respectively. Factors associated with anaemia were female sex, low baseline haemoglobin level, low baseline CD4 count, more advanced disease stage, and initial cART containing zidovudine.</p></sec><sec><title>Conclusions</title><p>In data from 34 cohorts of HIV-infected patients from sub-Saharan Africa, Central and South America, and Asia, the risk of anaemia within 12 months of initiating cART was moderate. Routine haemoglobin monitoring was recommended in patients at risk of developing anaemia following cART initiation.</p></sec></abstract></article-meta></front><body><sec><title>Background</title><p>According to World Health Organization (WHO) estimations [<xref ref-type="bibr" rid="B1">1</xref>], access to combination antiretroviral treatment (cART) has improved dramatically in low- and middle-income countries with limited resources. At the end of 2009, almost 5.3 million people were receiving antiretroviral therapy in low- and middle-income countries, an increase of more than 1.2 million people from December 2008. In addition, with the newly updated treatment guidelines, the number of people estimated to be in need of cART increased from 10 million to close to 15 million at the end of 2009.</p><p>Zidovudine (AZT) was recommended by WHO [<xref ref-type="bibr" rid="B2">2</xref>] as a first-line regimen in combination with another nucleoside reverse transcriptase inhibitor (NRTI) and a non-nucleoside reverse transcriptase inhibitor (NNRTI). AZT was also used as an alternate for patients switching from stavudine (d4T) to AZT due to toxicity, or as part of the treatment programme's systematic effort to avoid long-term toxicity issues associated with d4T toxicity [<xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B4">4</xref>]. The 2010 WHO guidelines recommend that countries using d4T in their first-line regimens phase d4T out and replace it with either AZT or tenofovir in order to prevent long-term toxicity [<xref ref-type="bibr" rid="B2">2</xref>].</p><p>There have been reports of the short-term tolerability related to the use of AZT, in particular the development or worsening of anaemia. Anaemia was associated with previous clinical AIDS disease or other infection, CD4 count, HIV viral load, female sex, age, and low body mass index [<xref ref-type="bibr" rid="B5">5</xref>-<xref ref-type="bibr" rid="B7">7</xref>]. Given the recent change in WHO guidelines, there was some concern that rates of anaemia may increase with the transition from d4T-containing regimens to AZT-containing regimens.</p><p>The objective was to examine the short-term risk and predictors of anaemia following initiation of cART in HIV-infected patients from the Western Africa (WA), Eastern Africa (EA), Southern Africa (SA), Central Africa (CA), Asian (TA) and Caribbean and Central and South America (CSA) regions of the International Epidemiologic Databases to Evaluate AIDS (IeDEA) collaboration.</p></sec><sec sec-type="methods"><title>Methods</title><sec><title>Study population: the IeDEA collaboration</title><p>The IeDEA initiative of the U.S. National Institutes of Health has established international regional centres for the collection and harmonization of data and the establishment of an international research consortium to address unique and evolving research questions in HIV/AIDS currently unanswerable by single cohorts [<xref ref-type="bibr" rid="B8">8</xref>]. Clinically derived HIV treatment data is being collected by researchers throughout the world. This initiative provides a means to establish and implement methodologies to effectively pool the collected data from regions around the globe, thus providing a cost-effective means of generating large data sets to address high-priority research questions related to HIV/AIDS care.</p><p>By developing a proactive mechanism for the collection of key variables, this initiative will enhance the quality cost effectiveness and speed of HIV/AIDS research. The sources that support the IeDEA research agenda include independently funded investigators and clinical networks, domestic and international cohorts, individual clinicians caring for large numbers of HIV-infected persons, and national or local databases. Currently, there are seven IeDEA regions: Canada and United States; Caribbean and Central and South America; Asia and Pacific; Western Africa; Central Africa; Eastern Africa; and Southern Africa. Data from more than 300,000 HIV-infected persons from 38 different countries are currently included under this initiative. Details of the IeDEA initiative can be found at <ext-link ext-link-type="uri" xlink:href="http://www.iedea.org/">http://www.iedea.org/</ext-link>. The IeDEA regions that participated in this analysis were the Western Africa [<xref ref-type="bibr" rid="B9">9</xref>], Southern Africa [<xref ref-type="bibr" rid="B10">10</xref>] and Eastern Africa [<xref ref-type="bibr" rid="B11">11</xref>], Central Africa [<xref ref-type="bibr" rid="B12">12</xref>], Asia-Pacific regions [<xref ref-type="bibr" rid="B13">13</xref>] and Caribbean and Central and South America [<xref ref-type="bibr" rid="B14">14</xref>].</p><p>Adult patients (age > 18 years) were included if they initiated cART regimens that contained three or more drugs and had haemoglobin levels above 10 g/dL within 90 days prior to cART initiation, and at least one follow-up haemoglobin test.</p></sec><sec><title>Procedures and statistical analysis</title><sec><title>Study procedures</title><p>The concept for this analysis was reviewed and approved by the IeDEA Executive Committee and all the participating regional steering committees. The data elements in this analysis included baseline and demographic data, HIV disease staging according to</p><p>Centers for Disease Control and Prevention (CDC) and/or WHO classification, CD4 and HIV viral load testing, antiretroviral treatment, haemoglobin testing, and weight and height measurements. The regional data centres reviewed and extracted the requested data from their regional databases or requested the identified variables from designated programmes within their regions.</p><p>The data were then centrally aggregated and analysed at The Kirby Institute in Sydney, Australia, the regional data centre of the Asia-Pacific IeDEA region. Data consistency checks were conducted when the data were received. This included queries on apparent data-entry errors, out-of-range testing results, antiretroviral treatment combinations that fell outside of the standard of care (for example, AZT concurrent with d4T), and possible data-entry error, such as dates of starting and stopping cART.</p><p>The IeDEA Pharmacovigilance and Data Harmonisation Working Groups, comprised of members from each IeDEA region, facilitated the early stage of concept development, as well as later data collection and preparation of the analytical datasets.</p></sec><sec><title>Statistical analysis</title><p>We used the NIH Division of AIDS definitions for Grading the Severity of Adult and Paediatric Adverse Events [<xref ref-type="bibr" rid="B15">15</xref>]. Anaemia was defined as a haemoglobin level of < 10 g/dL, and severe anaemia as a haemoglobin level of < 7.5 g/dL.</p><p>Mean change of haemoglobin level from cART initiation to 36 months was graphically represented in patients with baseline and follow-up haemoglobin tests. The proportions of patients with anaemia at month 12 after initiation of antiretroviral treatment were tabulated by baseline haemoglobin level and stratified by initial AZT or d4T use. Time to anaemia and severe anaemia within 12 months of cART initiation was assessed by survival analysis. Patients tested but not found to be anaemic were censored at month 12. Factors associated with anaemia were examined using Cox proportional hazards models and stratified by IeDEA region.</p><p>Due to the fact that the proportions of patient initiating AZT-containing cART were different across the IeDEA regions, we further investigated the interaction term between AZT use and IeDEA region in predicting anaemia at 12 months. In these analyses, the risk factors for anaemia identified in the main Cox model, and their directions and magnitude, remained largely the same, indicating the robustness of our analyses (data not shown). The analysis was performed using SAS (version 9.1, SAS Institute Inc., Cary, North Carolina, USA) and STATA (version 10.1, StataCorp, College Station, Texas USA).</p></sec></sec></sec><sec sec-type="results"><title>Results</title><p>The baseline characteristics are shown in Table <xref ref-type="table" rid="T1">1</xref>. The number of cohorts contributing patients varied between IeDEA regions: 12 in WA, one in EA, seven in SA, 10 in CA, one in TA, and three in CSA. A total of 19,947 patients initiated cART containing three or more drugs and each had a baseline haemoglobin test and at least one follow-up haemoglobin test (7358 in WA, 7289 in EA, 2853 in SA, 471 in CA, 1550 in TA and 426 in CSA).</p><table-wrap id="T1" position="float"><label>Table 1</label><caption><p>Patient characteristics at cART initiation</p></caption><table frame="hsides" rules="groups"><thead><tr><th></th><th align="center">West Africa</th><th align="center">Eastern Africa</th><th align="center">Southern Africa</th><th align="center">Central Africa</th><th align="center">Asia-Pacific</th><th align="center">Central & South America</th><th align="center">Total</th></tr></thead><tbody><tr><td align="left">No. cohorts in database</td><td align="center">12</td><td align="center">1</td><td align="center">7</td><td align="center">10</td><td align="center">1</td><td align="center">3</td><td align="center">34</td></tr><tr><td align="left">No. patients in database</td><td align="center">14340</td><td align="center">8992</td><td align="center">3459</td><td align="center">18047</td><td align="center">4074</td><td align="center">1644</td><td align="center">50556</td></tr><tr><td align="left">No. initiating cART with 3 or more antiretrovirals</td><td align="center">12502</td><td align="center">8971</td><td align="center">3357</td><td align="center">4715</td><td align="center">3501</td><td align="center">1644</td><td align="center">34690</td></tr><tr><td align="left">No. with haemoglobin at initiation</td><td align="center">10823</td><td align="center">7326</td><td align="center">3265</td><td align="center">2215</td><td align="center">1754</td><td align="center">460</td><td align="center">25843</td></tr><tr><td align="left">No. with follow up haemoglobin test</td><td align="center">7358</td><td align="center">7289</td><td align="center">2853</td><td align="center">471</td><td align="center">1550</td><td align="center">426</td><td align="center">19947</td></tr><tr><td align="left">(among patients with haemoglobin at initiation)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="left">Year cART was initiated</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Median (IQR)</td><td align="center">05 (04,06)</td><td align="center">05 (05,06)</td><td align="center">05 (04,06)</td><td align="center">09 (08,09)</td><td align="center">04 (02,05)</td><td align="center">04 (02,05)</td><td align="center">05 (04, 06)</td></tr><tr><td align="left">Gender</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Male</td><td align="center">2665 (36%)</td><td align="center">2876 (39%)</td><td align="center">672 (24%)</td><td align="center">142 (30%)</td><td align="center">1097 (71%)</td><td align="center">270 (63%)</td><td align="center">7722 (39%)</td></tr><tr><td align="right">Female</td><td align="center">4693 (64%)</td><td align="center">4413 (61%)</td><td align="center">2181 (76%)</td><td align="center">329 (70%)</td><td align="center">453 (29%)</td><td align="center">156 (37%)</td><td align="center">12225 (61%)</td></tr><tr><td align="left">Age (years, at initiation)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Median (IQR)</td><td align="center">37 (31,43)</td><td align="center">38 (33,45)</td><td align="center">34 (29,40)</td><td align="center">39 (33,45)</td><td align="center">35 (30,42)</td><td align="center">37 (31,44)</td><td align="center">37 (31,44)</td></tr><tr><td align="right">< = 30</td><td align="center">1661 (23%)</td><td align="center">1176 (16%)</td><td align="center">891 (31%)</td><td align="center">72 (18%)</td><td align="center">442 (27%)</td><td align="center">99 (23%)</td><td align="center">4321 (22%)</td></tr><tr><td align="right">31~40</td><td align="center">3116 (42%)</td><td align="center">3054 (43%)</td><td align="center">1257 (44%)</td><td align="center">166 (36%)</td><td align="center">669 (43%)</td><td align="center">182 (43%)</td><td align="center">8444 (43%)</td></tr><tr><td align="right">41+</td><td align="center">2581 (35%)</td><td align="center">2985 (41%)</td><td align="center">705 (25%)</td><td align="center">167 (36%)</td><td align="center">459 (30%)</td><td align="center">145 (34%)</td><td align="center">7042 (35%)</td></tr><tr><td align="right">Missing</td><td align="center">0</td><td align="center">74</td><td align="center">0</td><td align="center">66</td><td align="center">0</td><td align="center">0</td><td align="center">140</td></tr><tr><td align="left">Reported exposure</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Heterosexual contact</td><td align="center">2127 (100%)</td><td align="center">1540 (100%)</td><td align="center">2825 (100%)</td><td align="center">236 (99%)</td><td align="center">1057 (76%)</td><td align="center">289 (99%)</td><td align="center">8074 (96%)</td></tr><tr><td align="right">Homosexual contact</td><td align="center">0 (0%)</td><td align="center">0 (0%)</td><td align="center">0 (0%)</td><td align="center">2 (1%)</td><td align="center">299 (21%)</td><td align="center">0 (0%)</td><td align="center">301 (4%)</td></tr><tr><td align="right">Injecting drug use</td><td align="center">0 (0%)</td><td align="center">0 (0%)</td><td align="center">0 (0%)</td><td align="center">0 (0%)</td><td align="center">40 (3%)</td><td align="center">3 (1%)</td><td align="center">43 (< 1%)</td></tr><tr><td align="right">Other/unknown</td><td align="center">5231</td><td align="center">5749</td><td align="center">28</td><td align="center">233</td><td align="center">154</td><td align="center">134</td><td align="center">11529</td></tr><tr><td align="left">Haemoglobin level at initiation (g/dL, within 90 days before intiation)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Median (IQR)</td><td align="center">10.1 (9.0,11.5)</td><td align="center">11.2 (9.6,12.8)</td><td align="center">11.2 (10.0,13.0)</td><td align="center">10.1 (9.4, 11.8)</td><td align="center">12.2 (10.8,13.8)</td><td align="center">12.0 (11.0,14.0)</td><td align="center">10.9 (9.4,12.4)</td></tr><tr><td align="right">> = 10 g/dL</td><td align="center">4057 (55%)</td><td align="center">5142 (71%)</td><td align="center">2257 (79%)</td><td align="center">304 (64%)</td><td align="center">1317 (85%)</td><td align="center">368 (86%)</td><td align="center">13445 (68%)</td></tr><tr><td align="right">7.5~ < 10 g/dL</td><td align="center">2738 (37%)</td><td align="center">1773 (24%)</td><td align="center">517 (18%)</td><td align="center">156 (33%)</td><td align="center">206 (13%)</td><td align="center">51 (12%)</td><td align="center">5411 (27%)</td></tr><tr><td align="right">6.5~ < 7.5 g/dL</td><td align="center">365 (5%)</td><td align="center">224 (3%)</td><td align="center">46 (2%)</td><td align="center">8 (2%)</td><td align="center">18 (1%)</td><td align="center">5 (1%)</td><td align="center">666 (3%)</td></tr><tr><td align="right">< 6.5 g/dL</td><td align="center">198 (3%)</td><td align="center">150 (2%)</td><td align="center">33 (1%)</td><td align="center">3 (1%)</td><td align="center">9 (1%)</td><td align="center">2 (< 1%)</td><td align="center">395 (2%)</td></tr><tr><td align="left">Haemoglobin test after initiation (up to year one)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Median number of tests (IQR)</td><td align="center">1 (1,2)</td><td align="center">1 (1,2)</td><td align="center">2 (1,3)</td><td align="center">1 (1,2)</td><td align="center">3 (1,4)</td><td align="center">3 (1,5)</td><td align="center">1 (1,2)</td></tr><tr><td align="right">Median days from initiation</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">to the first test (IQR)</td><td align="center">217 (180,337)</td><td align="center">212 (163,342)</td><td align="center">294 (186,339)</td><td align="center">104.5 (14, 210)</td><td align="center">282 (194,336)</td><td align="center">274 (170,331)</td><td align="center">239 (175, 338)</td></tr><tr><td align="left">CD4 count at initiation (cells/mm<sup>3</sup>, within 90 days before initiation)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Median (IQR)</td><td align="center">136 (56,220)</td><td align="center">101 (44,166)</td><td align="center">87 (32,155)</td><td align="center">148.5 (62, 228)</td><td align="center">112 (35,204)</td><td align="center">120 (50,212)</td><td align="center">112 (45,187)</td></tr><tr><td align="right">< = 50</td><td align="center">1662 (24%)</td><td align="center">1907 (28%)</td><td align="center">904 (34%)</td><td align="center">63 (22%)</td><td align="center">451 (33%)</td><td align="center">92 (27%)</td><td align="center">5079 (27%)</td></tr><tr><td align="right">51~100</td><td align="center">1090 (15%)</td><td align="center">1506 (22%)</td><td align="center">565 (22%)</td><td align="center">38 (13%)</td><td align="center">214 (15%)</td><td align="center">60 (18%)</td><td align="center">3473 (19%)</td></tr><tr><td align="right">101+200</td><td align="center">2223 (31%)</td><td align="center">2512 (36%)</td><td align="center">833 (32%)</td><td align="center">94 (32%)</td><td align="center">263 (26%)</td><td align="center">96 (28%)</td><td align="center">6121 (33%)</td></tr><tr><td align="right">201+</td><td align="center">2137 (30%)</td><td align="center">946 (14%)</td><td align="center">321 (12%)</td><td align="center">95 (33%)</td><td align="center">364 (26%)</td><td align="center">93 (27%)</td><td align="center">3956 (21%)</td></tr><tr><td align="right">Not available</td><td align="center">246</td><td align="center">418</td><td align="center">230</td><td align="center">181</td><td align="center">158</td><td align="center">85</td><td align="center">1318</td></tr><tr><td align="left">HIV RNA at initiation (copies/mL, within 90 days before initiation)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Median</td><td align="center">165600</td><td align="center">5565</td><td align="center">52702</td><td align="center">4900</td><td align="center">119500</td><td align="center">91000</td><td align="center">72274.5</td></tr><tr><td align="right">(IQR)</td><td align="center">31462, 550025</td><td align="center">400, 39600</td><td align="center">14041, 184563</td><td align="center">< 400, 46155</td><td align="center">30000, 413273</td><td align="center">9000, 160000</td><td align="center">17400, 270000</td></tr><tr><td align="right">< 400</td><td align="center">7 (5%)</td><td align="center">5 (50%)</td><td align="center">109 (8%)</td><td align="center">3 (27%)</td><td align="center">31 (5%)</td><td align="center">17 (12%)</td><td align="center">175 (7%)</td></tr><tr><td align="right">400~10,000</td><td align="center">10 (8%)</td><td align="center">0 (0%)</td><td align="center">157 (11%)</td><td align="center">3 (27%)</td><td align="center">55 (8%)</td><td align="center">18 (13%)</td><td align="center">240 (10%)</td></tr><tr><td align="right">10,001~100,000</td><td align="center">34 (26%)</td><td align="center">4 (40%)</td><td align="center">633 (46%)</td><td align="center">3 (27%)</td><td align="center">235 (35%)</td><td align="center">57 (42%)</td><td align="center">966 (41%)</td></tr><tr><td align="right">100,001+</td><td align="center">81 (61%)</td><td align="center">1 (10%)</td><td align="center">491 (35%)</td><td align="center">2 (19%)</td><td align="center">357 (52%)</td><td align="center">45 (33%)</td><td align="center">977 (42%)</td></tr><tr><td align="right">Not available</td><td align="center">7226</td><td align="center">7279</td><td align="center">1463</td><td align="center">460</td><td align="center">872</td><td align="center">289</td><td align="center">19947</td></tr><tr><td align="left">Disease stage: CDC 3 or WHO 4</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">No</td><td align="center">3185 (74%)</td><td align="center">6048 (90%)</td><td align="center">2349 (83%)</td><td align="center">160 (34%)</td><td align="center">827 (53%)</td><td align="center">138 (37%)</td><td align="center">12707 (78%)</td></tr><tr><td align="right">Yes</td><td align="center">1118 (26%)</td><td align="center">639 (10%)</td><td align="center">491 (17%)</td><td align="center">311 (66%)</td><td align="center">723 (47%)</td><td align="center">236 (63%)</td><td align="center">3518 (22%)</td></tr><tr><td align="right">Not known</td><td align="center">3055</td><td align="center">602</td><td align="center">13</td><td align="center">0</td><td align="center">0</td><td align="center">52</td><td align="center">3722</td></tr><tr><td align="left">Tuberculosis co-infection</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">No</td><td align="center">6369 (87%)</td><td align="center">5345 (73%)</td><td align="center">2532 (89%)</td><td align="center">17 (4%)</td><td align="center">1240 (80%)</td><td align="center">396 (92%)</td><td align="center">15899 (80%)</td></tr><tr><td align="right">Yes</td><td align="center">989 (13%)</td><td align="center">1944 (27%)</td><td align="center">321 (11%)</td><td align="center">454 (96%)</td><td align="center">310 (20%)</td><td align="center">30 (7%)</td><td align="center">4048 (20%)</td></tr><tr><td align="left">Use of TMP-SMX</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">No</td><td align="center">2949 (40%)</td><td align="center">2972 (41%)</td><td align="center">---</td><td align="center">330 (70%)</td><td align="center">741 (48%)</td><td align="center">---</td><td align="center">6992 (42%)</td></tr><tr><td align="right">Yes</td><td align="center">4409 (60%)</td><td align="center">4317 (59%)</td><td align="center">---</td><td align="center">141 (30%)</td><td align="center">809 (52%)</td><td align="center">---</td><td align="center">9676 (58%)</td></tr><tr><td align="right">Not known</td><td align="center">0</td><td align="center">0</td><td align="center">2853</td><td></td><td></td><td align="center">426</td><td align="center">3279</td></tr><tr><td align="left">Initial cART combination containing AZT</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">No</td><td align="center">4787 (65%)</td><td align="center">7000 (96%)</td><td align="center">2099 (74%)</td><td align="center">190 (40%)</td><td align="center">938 (60%)</td><td align="center">89 (21%)</td><td align="center">15103 (76%)</td></tr><tr><td align="right">Yes</td><td align="center">2571 (35%)</td><td align="center">289 (4%)</td><td align="center">754 (26%)</td><td align="center">281 (60%)</td><td align="center">612 (40%)</td><td align="center">337 (79%)</td><td align="center">4844 (24%)</td></tr><tr><td align="left">Initial cART combination containing d4T</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">No</td><td align="center">2813 (38%)</td><td align="center">291 (4%)</td><td align="center">760 (27%)</td><td align="center">297 (63%)</td><td align="center">725 (47%)</td><td align="center">341 (80%)</td><td align="center">5227 (26%)</td></tr><tr><td align="right">Yes</td><td align="center">4545 (62%)</td><td align="center">6998 (96%)</td><td align="center">2093 (73%)</td><td align="center">174 (37%)</td><td align="center">825 (53%)</td><td align="center">85 (20%)</td><td align="center">14720 (74%)</td></tr><tr><td align="left">Initial treatment combination (top 4 most frequent)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">d4T/3TC/NVP</td><td align="center">2414 (33%)</td><td align="center">5978 (82%)</td><td align="center">415 (15%)</td><td align="center">149 (32%)</td><td align="center">560 (36%)</td><td align="center">46 (11%)</td><td align="center">9562 (48%)</td></tr><tr><td align="right">d4T/3TC/EFV</td><td align="center">1507 (20%)</td><td align="center">919 (12%)</td><td align="center">1668 (58%)</td><td align="center">22 (5%)</td><td align="center">111 (7%)</td><td align="center">24 (6%)</td><td align="center">4251 (21%)</td></tr><tr><td align="right">AZT/3TC/EFV</td><td align="center">1398 (19%)</td><td align="center">54 (< 1%)</td><td align="center">441 (15%)</td><td align="center">52 (11%)</td><td align="center">249 (16%)</td><td align="center">261 (61%)</td><td align="center">2455 (12%)</td></tr><tr><td align="right">AZT/3TC/NVP</td><td align="center">392 (5%)</td><td align="center">201 (3%)</td><td align="center">280 (10%)</td><td align="center">224 (48%)</td><td align="center">162 (11%)</td><td align="center">20 (5%)</td><td align="center">1279 (6%)</td></tr></tbody></table></table-wrap><p>Most patients included in this analysis started cART in 2004 and 2005, except those from CA, who started more recently (median 2009). There were more female patients in WA, EA, SA and CA compared with TA and CSA, which had a majority of male patients. In each region, more than 40% of patients were aged between 30 and 39 years. The information on exposure was missing in more than 70% of patients from WA and EA; however, heterosexual contact is the most reported category in all regions (Table <xref ref-type="table" rid="T1">1</xref>).</p><p>At initiation, anaemia and severe anaemia were found in 37% and 8% of patients from WA, 24% and 5% from EA, 18% and 3% from SA, 33% and 3% from CA, 13% and 2% from TA, and 12% and 2% from CSA, respectively (Table <xref ref-type="table" rid="T1">1</xref>). Within 12 months of cART initiation, patients from WA, EA and CA had a median of one haemoglobin test, patients from SA had two tests, and patients from TA and CSA had three tests. The median number of days from initiation to the first haemoglobin test was 217, 212, 294, 104.5, 282 and 274 days in patients from WA, EA, SA, CA, TA and CSA, respectively.</p><p>At cART initiation, the patients in each region had median CD4 counts between 101 and 148 cells/mm<sup>3 </sup>and more than half of the patients did not have a baseline HIV RNA test (Table <xref ref-type="table" rid="T1">1</xref>). The proportion of patients with either CDC stage three or WHO stage four varies in different regions, from 9% in EA to 66% in CA. Tuberculosis co-infection was reported in all regions, ranging from 7% in CSA to 96% in CA. Use of co-trimoxazole (TMP-SMX) was reported in 60% of patients in WA, 59% in EA and 52% in TA.</p><p>The most frequent cART regimen at treatment initiation was a three-drug combination of two NRTIs (the majority either with d4T+3TC or AZT+3TC), plus one NNRTI (either with NVP or EFV). An AZT-containing regimen was initiated in 35% of patients in WA, 4% in EA, 26% in SA, 60% in CA, 40% in TA, and 79% in CSA. In each of the IeDEA regions, patients with more severe anaemia were generally more likely to initiate with a non-AZT-containing regimen (Figure <xref ref-type="fig" rid="F1">1</xref>).</p><fig id="F1" position="float"><label>Figure 1</label><caption><p><bold>Proportions of AZT-containing cART by region and baseline haemoglobin level</bold>.</p></caption><graphic xlink:href="1758-2652-15-5-1"></graphic></fig><p>The mean change in haemoglobin from cART initiation is shown in Figure <xref ref-type="fig" rid="F2">2</xref>. In patients initiating AZT-containing cART, there was an initial mean haemoglobin decrease of approximately 0.5 g/dL in the first three months; in patients starting with non-AZT-containing cART, there was an immediate haemoglobin increase after initiation. From three months after treatment initiation, there was a mean difference of approximately 1 g/dL between patients initiating AZT-containing cART and those initiating with non-AZT-containing cART that persisted for up to 36 months.</p><fig id="F2" position="float"><label>Figure 2</label><caption><p><bold>Mean change of haemoglobin since initiation of cART</bold>.</p></caption><graphic xlink:href="1758-2652-15-5-2"></graphic></fig><p>A total of 13,445 (68%) patients initiated cART with normal haemoglobin, 4057 (55%) in WA, 5142 (71%) in EA, 2257 (79%) in SA, 304 (64%) in CA, 1317 (85%) in TA, and 368 (86%) in CSA. Within 12 months of cART initiation, the risks of severe anaemia were 3.9 per 100 person-years (95% confidence interval, CI, 3.6-4.2) and varied from 2.3 (2.0~2.7) in EA to 10.2 (7.1~14.1) in CA; the overall risks of any anaemia (including severe anaemia) were 11.5 per 100 person-years (11.0, 12.1) and varied from 6.6 (5.9~7.4) in EA to 22.9 (31.6~45.3) in CA (Table <xref ref-type="table" rid="T2">2</xref>).</p><table-wrap id="T2" position="float"><label>Table 2</label><caption><p>Risk of anaemia (< 10 g/dL) within 12 months after ART initiation among patients with normal haemoglobin (> = 10 g/dL)</p></caption><table frame="hsides" rules="groups"><thead><tr><th></th><th align="center"><bold>No</bold>.</th><th align="center">Follow up</th><th align="center"><bold>No</bold>.</th><th align="center">Rate</th><th align="center" colspan="2">Univariate analysis</th><th align="center" colspan="2">Multivariate analysis</th></tr><tr><th></th><th align="center">patients</th><th align="center">(years)</th><th align="center">Anaemia</th><th align="center">(/100pys)</th><th align="center">HR</th><th align="center">p value</th><th align="center">HR (95% CI)</th><th align="center">p value</th></tr></thead><tbody><tr><td align="left">Total</td><td align="center">13445</td><td align="center">11893</td><td align="center">1373</td><td align="center">11.5</td><td></td><td></td><td></td><td></td></tr><tr><td align="left">IeDEA region (analyses were stratified by IeDEA region)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Western Africa</td><td align="center">4057</td><td align="center">3361</td><td align="center">612</td><td align="center">18.2</td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Eastern Africa</td><td align="center">5142</td><td align="center">4825</td><td align="center">320</td><td align="center">6.6</td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Southern Africa</td><td align="center">2257</td><td align="center">2035</td><td align="center">197</td><td align="center">9.7</td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Central Africa</td><td align="center">304</td><td align="center">214</td><td align="center">49</td><td align="center">22.9</td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Asia-Pacific</td><td align="center">1317</td><td align="center">1156</td><td align="center">136</td><td align="center">11.8</td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Central & South America</td><td align="center">368</td><td align="center">302</td><td align="center">59</td><td align="center">19.5</td><td></td><td></td><td></td><td></td></tr><tr><td align="left">Gender</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">Male</td><td align="center">6000</td><td align="center">5344</td><td align="center">471</td><td align="center">8.8</td><td align="center">reference</td><td></td><td align="center">reference</td><td></td></tr><tr><td align="right">Female</td><td align="center">7445</td><td align="center">6549</td><td align="center">902</td><td align="center">13.8</td><td align="center">1.65</td><td align="center">< 0.001</td><td align="center"><bold>1.33 (1.18, 1.50)</bold></td><td align="center"><bold>< 0.001</bold></td></tr><tr><td align="left">Age (years, at initiation)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">< = 30</td><td align="center">2668</td><td align="center">2342</td><td align="center">328</td><td align="center">14.0</td><td align="center">reference</td><td></td><td align="center">reference</td><td></td></tr><tr><td align="right">31~40</td><td align="center">5697</td><td align="center">5053</td><td align="center">577</td><td align="center">11.4</td><td align="center">0.84</td><td align="center">0.014</td><td align="center">0.96 (0.83, 1.10)</td><td align="center">0.532</td></tr><tr><td align="right">41+</td><td align="center">4964</td><td align="center">4420</td><td align="center">455</td><td align="center">10.3</td><td align="center">0.78</td><td align="center">0.001</td><td align="center">0.96 (0.83, 1.11)</td><td align="center">0.583</td></tr><tr><td align="right">Missing</td><td align="center">96</td><td align="center">78</td><td align="center">13</td><td align="center">16.7</td><td align="center">1.10</td><td align="center">0.739</td><td align="center">1.16 (0.64, 2.10)</td><td align="center">0.622</td></tr><tr><td align="left">Baseline haemoglobin (g/dL)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">13+</td><td align="center">3826</td><td align="center">3552</td><td align="center">136</td><td align="center">3.8</td><td align="center">reference</td><td></td><td align="center">reference</td><td></td></tr><tr><td align="right">12 to < 13</td><td align="center">2726</td><td align="center">2485</td><td align="center">160</td><td align="center">6.4</td><td align="center">1.67</td><td align="center">< 0.001</td><td align="center"><bold>1.51 (1.19, 1.90)</bold></td><td align="center"><bold>0.001</bold></td></tr><tr><td align="right">11 to < 12</td><td align="center">3389</td><td align="center">2961</td><td align="center">398</td><td align="center">13.4</td><td align="center">3.46</td><td align="center">< 0.001</td><td align="center"><bold>2.96 (2.42, 3.62)</bold></td><td align="center"><bold>< 0.001</bold></td></tr><tr><td align="right">10 to < 11</td><td align="center">3504</td><td align="center">2895</td><td align="center">679</td><td align="center">23.4</td><td align="center">5.95</td><td align="center">< 0.001</td><td align="center"><bold>4.94 (4.06, 6.01)</bold></td><td align="center"><bold>< 0.001</bold></td></tr><tr><td align="left">CD4 count at initiation (cells/mm<sup>3</sup>, within 90 days before initiation)</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">101+</td><td align="center">7138</td><td align="center">6408</td><td align="center">598</td><td align="center">9.3</td><td align="center">reference</td><td></td><td align="center">reference</td><td></td></tr><tr><td align="right">51~100</td><td align="center">2224</td><td align="center">1986</td><td align="center">218</td><td align="center">11.0</td><td align="center">1.18</td><td align="center">0.037</td><td align="center"><bold>1.24 (1.06, 1.45)</bold></td><td align="center"><bold>0.007</bold></td></tr><tr><td align="right">< = 50</td><td align="center">3187</td><td align="center">2753</td><td align="center">417</td><td align="center">15.1</td><td align="center">1.62</td><td align="center">< 0.001</td><td align="center"><bold>1.65 (1.45, 1.87)</bold></td><td align="center"><bold>< 0.001</bold></td></tr><tr><td align="right">Not available</td><td align="center">896</td><td align="center">746</td><td align="center">140</td><td align="center">18.8</td><td align="center">1.99</td><td align="center">< 0.001</td><td align="center"><bold>1.71 (1.41, 2.08)</bold></td><td align="center"><bold>< 0.001</bold></td></tr><tr><td align="left">Disease stage: CDC 3 or WHO 4</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">No</td><td align="center">8775</td><td align="center">7930</td><td align="center">761</td><td align="center">9.5</td><td align="center">reference</td><td></td><td align="center">reference</td><td></td></tr><tr><td align="right">Yes</td><td align="center">2263</td><td align="center">1882</td><td align="center">350</td><td align="center">17.9</td><td align="center">1.54</td><td align="center">< 0.001</td><td align="center"><bold>1.30 (1.13, 1.50)</bold></td><td align="center"><bold>< 0.001</bold></td></tr><tr><td align="right">Not known</td><td align="center">2407</td><td align="center">2081</td><td align="center">262</td><td align="center">12.6</td><td align="center">0.80</td><td align="center">0.005</td><td align="center">0.86 (0.73, 1.00)</td><td align="center">0.057</td></tr><tr><td align="left">Tuberculosis co-infection</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">No</td><td align="center">10958</td><td align="center">9721</td><td align="center">1098</td><td align="center">11.3</td><td align="center">reference</td><td></td><td align="center">reference</td><td></td></tr><tr><td align="right">Yes</td><td align="center">2487</td><td align="center">2172</td><td align="center">275</td><td align="center">12.7</td><td align="center">1.20</td><td align="center">0.013</td><td align="center">0.95 (0.81, 1.10)</td><td align="center">0.496</td></tr><tr><td align="left">Initial ARV combination containing AZT</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">No</td><td align="center">9760</td><td align="center">8988</td><td align="center">716</td><td align="center">8.0</td><td align="center">reference</td><td></td><td align="center">reference</td><td></td></tr><tr><td align="right">Yes</td><td align="center">3685</td><td align="center">2905</td><td align="center">657</td><td align="center">22.6</td><td align="center">12.43</td><td align="center">< 0.001</td><td align="center"><bold>2.51 (2.22, 2.83)</bold></td><td align="center"><bold>< 0.001</bold></td></tr><tr><td align="left">Initial ARV combination containing d4T</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">No</td><td align="center">3906</td><td align="center">3093</td><td align="center">677</td><td align="center">21.9</td><td align="center">reference</td><td></td><td align="center">reference</td><td></td></tr><tr><td align="right">Yes</td><td align="center">9539</td><td align="center">8800</td><td align="center">696</td><td align="center">7.9</td><td align="center">0.47</td><td align="center">< 0.001</td><td align="center">0.82 (0.54, 1.25)</td><td align="center">0.356</td></tr><tr><td align="left">Use of TMP-SMX</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td align="right">No/Not known</td><td align="center">7330</td><td align="center">6481</td><td align="center">706</td><td align="center">10.9</td><td align="center">reference</td><td></td><td align="center">reference</td><td></td></tr><tr><td align="right">Yes</td><td align="center">6115</td><td align="center">5412</td><td align="center">667</td><td align="center">12.3</td><td align="center">1.14</td><td align="center">0.032</td><td align="center">1.01 (0.89, 1.14)</td><td align="center">0.929</td></tr></tbody></table></table-wrap><p>Factors associated with developing anaemia 12 months after cART initiation were (Table <xref ref-type="table" rid="T2">2</xref>): female gender (33% increase of risk compared with males); low baseline haemoglobin level (significant increase of risk with decreasing haemoglobin at baseline); low baseline CD4 count (significant increase of risk with decreasing CD4 count at baseline); advanced disease stage (30% increase of risk compared with lesser disease stage); initial AZT-containing cART (150% increase of risk compared with patients initiating non-AZT-containing cART). Tuberculosis co-infection and using of TMP-SMX were statistically significant in univariate analysis, but lost significance after adjustment.</p><p>Risks of anaemia by initial cART (AZT-containing or not) by IeDEA region are plotted in Figure <xref ref-type="fig" rid="F3">3</xref>. In patients from WA, EA, SA and TA, patients initiated with an AZT-containing cART had an increased risk of developing anaemia when compared with those initiating a non-AZT-containing regimen (p < 0.001, respectively). The difference between the AZT and non-AZT groups in CA and CSA was not statistically significant after adjusting for the factors just outlined (CA, p = 0.088; CSA, p = 0.396).</p><fig id="F3" position="float"><label>Figure 3</label><caption><p><bold>Risk of anaemia (< 10 g/dL) by initial cART and region</bold>.</p></caption><graphic xlink:href="1758-2652-15-5-3"></graphic></fig><p>Table <xref ref-type="table" rid="T3">3</xref> shows the proportions of patients with anaemia at month 12 after initiation of antiretroviral treatment by baseline haemoglobin level and stratified by initial AZT or d4T use. The table shows that for both AZT and d4T, the proportion of patients with anaemia is associated with baseline haemoglobin level. However, in patients starting with AZT, the proportion of anaemic patients remains high even in patients with baseline haemoglobin from 12 to < 13 g/dL (13%). The proportion of anaemic patients is lower in patients stating d4T in each category of baseline haemoglobin, typically those above 11 g/dL.</p><table-wrap id="T3" position="float"><label>Table 3</label><caption><p>Prevalence of anaemia (< 10 g/dL) at month 12 following ARV initiation</p></caption><table frame="hsides" rules="groups"><thead><tr><th></th><th align="center" colspan="2">Initial ARV combination containing AZT</th><th align="center" colspan="2">Initial ARV combination containing d4T</th></tr><tr><th></th><th colspan="2"><hr></hr></th><th colspan="2"><hr></hr></th></tr><tr><th></th><th align="center" colspan="4">Anaemic at month 12 following ARV initiation</th></tr><tr><th align="left">Baseline haemoglobin (g/dL)</th><th align="center">No</th><th align="center">Yes</th><th align="center">No</th><th align="center">Yes</th></tr></thead><tbody><tr><td align="right">13+</td><td align="center">988 (93%)</td><td align="center">79 (7%)</td><td align="center">2607 (98%)</td><td align="center">56 (2%)</td></tr><tr><td align="right">12~ < 13</td><td align="center">664 (87%)</td><td align="center">95 (13%)</td><td align="center">1881 (97%)</td><td align="center">60 (3%)</td></tr><tr><td align="right">11~ < 12</td><td align="center">734 (79%)</td><td align="center">197 (21%)</td><td align="center">2218 (92%)</td><td align="center">198 (8%)</td></tr><tr><td align="right">10~ < 11</td><td align="center">642 (69%)</td><td align="center">286 (31%)</td><td align="center">2137 (85%)</td><td align="center">382 (15%)</td></tr><tr><td align="right">< 10</td><td align="center">487 (42%)</td><td align="center">672 (58%)</td><td align="center">3438 (66%)</td><td align="center">1743 (34%)</td></tr></tbody></table></table-wrap></sec><sec sec-type="discussion"><title>Discussion</title><p>In this study that included six IeDEA regions and 34 HIV treatment cohorts, we found that the risk of developing anaemia within the first year on cART was associated with female sex, low baseline haemoglobin, more advanced immune-deficiency (clinically and immunologically) and receiving an initial cART containing AZT. In addition, we found that d4T-containing regimens were being used more commonly than AZT-containing regimens, especially in patients with severe anaemia at cART initiation.</p><p>An initial haemoglobin decrease of approximately 0.5 g/dL in the first three months was observed in patients initiating AZT-containing cART, compared with an immediate haemoglobin increase after initiation in patients starting with non-AZT-containing cART. These data are consistent with results from a meta-analysis of six randomized trials in treatment-naïve patients receiving either AZT or d4T as part of the regimen [<xref ref-type="bibr" rid="B16">16</xref>]. In this meta-analysis, haemoglobin levels decreased with AZT-containing treatment by a mean of 0.4 g/dL and 0.2 g/dL at weeks 24 and 48, respectively, but increased with d4T-containing treatment by 0.45 g/dL and 0.58 g/dL, respectively. The DART study also reported low haemoglobin measures at week 4, and grade 4 anaemia (< 6.5 g/dL) occurring at week 12 following initiation of an AZT-containing regimen [<xref ref-type="bibr" rid="B17">17</xref>].</p><p>The use of AZT+3TC and d4T+3TC as the preferred NRTIs in a regimen has been advocated by WHO since 2000 and are the most common NRTI combinations used in initial HIV treatment regimens in resource-limited settings [<xref ref-type="bibr" rid="B18">18</xref>,<xref ref-type="bibr" rid="B19">19</xref>]. Until recently, d4T was preferred over AZT due to its lower requirement for laboratory monitoring, lower cost, and availability in fixed-dose combinations tablets, despite its poorer toxicity profile, in association with lactic acidosis, lipodystrophy and peripheral neuropathy. To avoid or minimize the d4T-related long-term toxicity, in 2006, WHO recommended a move away from d4T-containing regimens [<xref ref-type="bibr" rid="B20">20</xref>], and in 2009, emphasized this in advice on antiretroviral treatment [<xref ref-type="bibr" rid="B21">21</xref>]. This recommendation was in agreement with other treatment guidelines, such as those published by the United States Department of Health and Human Services [<xref ref-type="bibr" rid="B22">22</xref>] and the British HIV Association [<xref ref-type="bibr" rid="B23">23</xref>]. In settings where d4T-containing regimens were used as the major initial drugs, WHO recommended moves towards AZT- or tenofovir (TDF)-based first-line regimens.</p><p>Among patients included in this paper, the median year of cART initiation was 2004-05 in the respective IeDEA regions. The major initial cART regimen contained d4T rather than AZT, which reflects to a large extent the true situation in low- and middle-income countries with limited resources. Moreover, in each of the IeDEA regions, patients with severe anaemia were generally initiated with a non-AZT-containing cART, which was most likely due to the well-established association between anaemia and AZT use [<xref ref-type="bibr" rid="B5">5</xref>,<xref ref-type="bibr" rid="B16">16</xref>,<xref ref-type="bibr" rid="B24">24</xref>].</p><p>The crude rate of acquiring anaemia among patients with normal haemoglobin at cART initiation did vary somewhat across the IeDEA regions. This might be due to sampling mechanisms, or biases due to different patterns of haemoglobin testing in each region. For example, at cART initiation and during the course of treatment, patients who had haemoglobin tests might have been selected for testing because they were considered at higher risk of developing anaemia by the local clinician. However, the risks of severe anaemia seemed relatively rare and consistent across the regions. Similar finding was found previously in patients from Uganda and Zimbabwe in the DART trial [<xref ref-type="bibr" rid="B17">17</xref>].</p><p>Female sex, low baseline haemoglobin, more advanced immune-deficiency (clinically and biologically) and initial cART-containing AZT were associated with the risk of acquiring anaemia within 12 months of starting cART. These risk factors were reported in previous studies [<xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B5">5</xref>-<xref ref-type="bibr" rid="B7">7</xref>,<xref ref-type="bibr" rid="B17">17</xref>]. However, the majority of the patients across the IeDEA regions did not have HIV viral load measurement prior to cART initiation, and weight and height data were not generally available across the regions. Consequently, we could not examine the effects of HIV viral load and body mass index on the risk of acquiring anaemia. The use of TMP-SMX was significant in univariate analysis, which might have to do with other infection and the need for prophylaxis since TMP-SMX rarely causes anaemia [<xref ref-type="bibr" rid="B25">25</xref>].</p><p>We acknowledge several limitations to our study. First, the selection of patients with at least a baseline and one follow-up measurement of haemoglobin might have introduced a bias of selection: patients with documented haemoglobin measurements are more likely to be at risk of anaemia than patients without assessment. In principal, rapid onset of severe, life-threatening anaemia that resulted in loss to follow up and death without a subsequent haemoglobin measurement is a potential scenario in severely resource-limited settings.</p><p>Moreover, as this is an observational study, measurements of haemoglobin might not be comparable in every participating country. In addition, important determinants of anaemia, such as body mass index, nutrition intake and malaria status, were not available in the current data assembled for analysis, which made the direct comparison of the risk of anaemia between IeDEA regions difficult, if not impossible, to interpret. Consequently we stratified the region in the Cox regression model to assess the risk factors.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>With the continued rapid scaling up of cART, there is a need to monitor treatment-related toxicity, especially in countries with limited resources and where alternative treatments are not readily available. We found that treating patients earlier, with less immune-deficiency, and with a non-AZT-containing regimen are the only modifiable risk factors associated with anaemia. In countries where TDF-based NRTI regimens are not widely available, a short-term treatment of non-AZT-containing regimens (mostly d4T-containing), followed by a switch to AZT, is worth investigating in terms of efficacy, short- and long-term tolerability, and disease outcomes [<xref ref-type="bibr" rid="B26">26</xref>-<xref ref-type="bibr" rid="B28">28</xref>]. This could be potentially beneficial for patients at risk of developing anaemia, e.g., female gender, patients with low CD4 counts and patients with advanced disease stage. In addition, routine haemoglobin monitoring is recommended in patients initiating with AZT-containing cART, typically at week 4, 8, 12, or at least every three months [<xref ref-type="bibr" rid="B2">2</xref>,<xref ref-type="bibr" rid="B17">17</xref>].</p></sec><sec><title>Competing interests</title><p>The authors declare that they have no competing interests.</p></sec><sec><title>Authors' contributions</title><p>JZ and ML originated the study concept and detailed the analysis plan. JZ performed the data manipulation, statistical analysis, interpretation of results and drafted the manuscript. AJ, EB, BM, KW, NM, AB, FW, DM, JI and JH commented on the study concept and analysis plan, helped interpretation of results and edited the manuscript. All authors have read and approved the final manuscript.</p></sec></body><back><sec><title>Acknowledgements</title><p>The IeDEA West Africa Adults Group was funded by the following institutes: the National Cancer Institute (NCI), the Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) and the National Institute of Allergy and Infectious Diseases (NIAID) (grant number 5U01AI069919). The IeDEA East Africa Consortium is funded by the following institutes: the National Cancer Institute (NCI), the Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) and the National Institute of Allergy and Infectious Diseases (NIAID), grant number U01AI069911-01. The development of the medical records system used by the USAID-AMPATH was supported by the Rockefeller. This research was supported in part by a grant to the USAID-AMPATH Partnership from the United States Agency for International Development as part of the President's Emergency Plan for AIDS Relief (PEPFAR).</p><p>Support for the IeDEA-SA collaboration was provided by the U.S. National Institute of Allergy and Infectious Diseases (NIAID) through the International epidemiological Databases to Evaluate AIDS, Southern Africa (IeDEA-SA), grant number 5U01AI069924-04. IeDEA Central Africa research is funded by the National Institute of Allergies and Infectious Diseases (NIAID) of the U.S. Institutes of Health through the Cooperative Agreement mechanism (U01 AI069927). The Caribbean, Central and South America network (CCASAnet) represents IeDEA Region 2, supported by NIAID, NIH under grant number U01AI069923.</p><p>The TREAT Asia HIV Observational Database is part of the Asia Pacific HIV Observational Database and is an initiative of TREAT Asia, a programme of amfAR, The Foundation for AIDS Research, with support from the National Institute of Allergy and Infectious Diseases (NIAID) of the U.S. National Institutes of Health (NIH) as part of the International Epidemiologic Databases to Evaluate AIDS (IeDEA) (grant no. U01AI069907), and from the Dutch Ministry of Foreign Affairs through a partnership with Stichting Aids Fonds. The Kirby Institute is funded by the Australian Government Department of Health and Ageing, and is affiliated with the Faculty of Medicine, The University of New South Wales. The content of this publication is solely the responsibility of the authors and does not necessarily represent the official views of any of the institutions mentioned.</p><sec><title>IeDEA Adverse Effects/Pharmacovigilance Working Group (in alphabetical order)</title><p>E Bissagene, A Boulle, P Braitstein, R Colebunders, F Dabis, L Diero, D Dyer, N Goco, C Graber, R Huebner, A Jaquet, A Krolewiecki, N Kumarasamy, B Lau, D Masys, D McFadden, R McKaig, U Mehta, L Mofenson, C Orrell, J Roe, M Schechter, L Schwarze, C Williams, MJ Wollf Reyes, K Wools-Kaloustian, FJ Zhang, J Zhou.</p></sec><sec><title>IeDEA Data Harmonisation Working Group (in alphabetical order)</title><p>G Allou, M Bacon, A Boulle, P Braitstein, R Colebunders, S Duda, D Dyer, M Egger, DK Ekouevi, N Goco, C Graber, T Hartwell, R Hazra, J Hemingway-Foday, R Huebner, M Kitahata, D Masys, D McFadden, R McKaig, B Musick, R Oyomopito, L Schwarze, P Torres, S van Rompaey, F Wehbe, C Williams, J Zhou.</p></sec><sec><title>The IeDEA West Africa Adults Group</title><p>Principal investigator: Pr François Dabis (INSERM U897, ISPED, Bordeaux, France). Associate investigator: Pr Emanuel Bissaniene (SMIT, Treichville, Abidjan, Côte d'Ivoire). Co-investigators: Clarisse Amani-Bosse, Franck Olivier Ba-Gomis Emmanuel Bissagnene, Eric Delaporte, Constace Kanga-Koffi, Moussa Maiga, Eugène Messou, Albert Minga, Kevin Peterson, Papa Salif Sow, Hamar Traoré, Marcel D Zannou. Other members: Gérard Allou, Xavier Anglaret, Alain Azondékon, Eric Balestre, Jules Bashi, Ye Diarra, Joseph Drabo, Jean-François Etard, Didier K Ekouévi, Antoine Jaquet, Alain Kouakoussui, Valériane Leroy, Charlotte Lewden, Karen Malateste, Lorna Renner, Haby Signaté Sy, Marguerite Timité-Konan, Rodolphe Thiebault, Hapsatou Touré, Annnie J Sasco. Coordinating centres: HIV Epidemiology, INSERM CRE U 897, ISPED, Université Victor Segalen, Bordeaux, France; Epidemiology for Cancer Prevention, INSERM CRE U 897, ISPED, Université Victor Segalen, Bordeaux, France; Programme PAC-CI, CHU de Treichville, Abidjan, Côte d'Ivoire. Adults' clinical centres: Service d'Hépato-Gastro-Entérologie, Hôpital Gabriel Touré, Bamako, Mali; Centre de Prise en Charge des Personnes vivant avec le VIH, CHNU, Cotonou, Benin; ACONDA-CePReF, Adultes, Abidjan Côte d'Ivoire; Centre de Prise en Charge des Personnes vivant avec le VIH, Hôpital du point G, Bamako, Mali; Unité de Soins Ambulatoires et de Conseil (USAC), Abidjan, Côte d'Ivoire; Centre Intégré de Recherche Bioclinique d'Abidjan (CIRBA), Abidjan, Côte d'Ivoire; Centre Médical de Suivi de Donneurs de Sang/CNTS/PRIMO-CI, Abidjan, Côte d'Ivoire; Service de Maladies Infectieuses et Tropicales (SMIT) de l'hôpital de Treichville, Abidjan, Côte d'Ivoire; ACONDA-MTCT+ Adultes, Abidjan, Côte d'IAvoire.</p></sec><sec><title>IeDEA Eastern Africa</title><p>East African IeDEA Research Working Group: L Diero, S Ayaya, J Otieno, GR Somi, H Mtiro, I Maruchu, R Lyamuya, D Wabware, P Okong, MB Bwana, J Ssali, P Masaba, CT Yiannoutsos, K Wools-Kaloustian, P Braitstein, J Martin, D Bangsberg, D Nash, B Elul, R Braithwaite, BS Musick, E Sang, P Easterbrook, M Bacon.</p><p>East African IeDEA Participating Institutions: United States Agency for International Development- Academic Model Providing Access to Healthcare (formally the Academic Model for the Prevention and Treatment of HIV/AIDS) [USAID-AMPATH], Kenya*; Nyanza Provincial Hospital Mother to Child Prevention-plus Program (MTCT-plus), Kenya; Tanzanian National AIDS Control Program; Ocean Road Cancer Institute, Tanzania; Tumbi Regional Hospital, Tanzania; Morogoro Regional Hospital, Tanzania; Mulogo Hospital, Uganda; Infectious Disease Institute (IDI), Uganda; San Raphael/St. Francis Hospital Nsambya, Uganda; Mbarara University Immune Suppressed (ISS) Clinic, Uganda; Mbale Regional Hospital, Uganda; Masaka Regional Hospital, Uganda; Indiana University School of Medicine, USA; University of San Francisco, USA; Yale University, USA; Columbia University Mailman School of Public Heath, USA.</p><p>* Institutions contributing data to this analysis</p></sec><sec><title>IeDEA Southern Africa Steering Group</title><p>Member sites: *Anna Coutsoudis, PMTCT Plus, Durban, South Africa; *Diana Dickinson, Gaborone Independent Hospital, Gaborone, Botswana; *Brian Eley, Red Cross Children's Hospital, Cape Town, South Africa; Lara Fairall, Free State provincial ARV roll out, South Africa; *Tendani Gaolathe, Princess Marina Hospital, Gaborone, Botswana; Janet Giddy, McCord Hospital, Durban, South Africa; *Timothy Meade, CorpMed Clinic, Lusaka, Zambia; Patrick MacPhail, Themba Lethu Clinic, Helen Joseph Hospital, Johannesburg, South Africa; Lerato Mohapi, Perinatal HIV Research Unit, Johannesburg, South Africa; *Margaret Pascoe, Newlands Clinic, Harare, Zimbabwe; Hans Prozesky, Tygerberg Academic Hospital, Stellenbosch, South Africa; *Harry Moultrie, University of Witwatersrand Paediatric HIV Clinics (Harriet Shezi Clinic, Chris Hani Baragwanath Hospital), Johannesburg, South Africa; *Karl Technau, University of Witwatersrand Paediatric HIV Clinics (Empilweni Clinic, Rahima Moosa Mother and Child Hospital, Johannesburg, South Africa; Gilles van Cutsem, Khayelitsha ART Programme and Médecins sans Frontières, Cape Town, South Africa; *Paula Vaz, Paediatric Day Hospital, Maputo, Mozambique; Ralf Weigel, Lighthouse Clinic, Lilongwe, Malawi; Robin Wood, Gugulethu and Masiphumelele ART Programmes, Cape Town, South Africa.</p><p>* Sites contributing data to this analysis.</p><p>Central Team: Martin Brinkhof, Matthias Egger, Beatrice Fatzer, Claire Graber and Olivia Keiser, Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Andrew Boulle, Morna Cornell, Mary-Ann Davies, Nicola Maxwell, Landon Myer and Anna Grimsrud, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.</p></sec><sec><title>IeDEA Central Africa site investigators</title><p>Amo-Congo, DRC: Henri Mukumbi, MD, Lucien Kalenga, MD, Marcel Mbaya, MD</p><p>Limbé Provincial Hospital, Cameroon: Wilfred Akam, MD</p><p>Hôpital General de Yaoundé, Cameroon: Brigitte Mfangam Molu, MD</p><p>Military Hospital of Yaoundé, Cameroon: Ashu Balimba, MD</p><p>Centre Hopital Universitaire (CHU), Pediatric Clinic, Yaoundé, Cameroon: Marie-Thérèse Abena Obama, MD</p><p>Centre hospitalo-universitaire de Kamenge (CHUK) de Bujumbura, Burundi: Théodore Niyongabo, MD</p><p>IeDEA Central Africa Regional Staff: Jef Atibu (Kinshasa School of Public Health, DRC), Modeste Kiumbu, MD (Kinshasa School of Public Health, DRC), Innocent Azinyue (Vindata Solutions, Yaoundé, Cameroon)</p></sec><sec><title>The TREAT Asia HIV Observational Database</title><p>CV Mean, V Saphonn* and K Vohith, National Center for HIV/AIDS, Dermatology & STDs, Phnom Penh, Cambodia; 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