Antiretroviral therapy in resource-limited settings 1996 to 2006: patient characteristics, treatment regimens and monitoring in sub-Saharan Africa, Asia and Latin America

Authors

  • The ART-LINC Collaboration of the International Databases to Evaluate AIDS (IeDEA)

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      Writing committee: Olivia Keiser, Kathryn Anastos, Mauro Schechter, Eric Balestre, Landon Myer, Andrew Boulle, David Bangsberg, Hapsatou Touré, Paula Braitstein, Eduardo Sprinz, Denis Nash, Mina Hosseinipour, François Dabis, Margaret May, Martin WG Brinkhof, Matthias Egger. Principal Investigators: François Dabis, Matthias Egger, Mauro Schechter. Central Team: Eric Balestre, Martin Brinkhof, Claire Graber, Olivia Keiser, Catherine Seyler, Hapsatou Touré, Charlotte Lewden. Steering Group: Kathryn Anastos (Kigali); David Bangsberg (Mbarara/Kampala); Andrew Boulle (Cape Town); Jennipher Chisanga (Lusaka); Eric Delaporte (Dakar); Diana Dickinson (Gaborone); Ernest Ekong (Lagos); Kamal Marhoum El Filali (Casablanca); Mina Hosseinipour (Lilongwe); Silvester Kimaiyo (Eldoret); Mana Khongphatthanayothin (Bangkok); N Kumarasamy (Chennai); Christian Laurent (Yaounde); Ruedi Luthy (Harare); James McIntyre (Johannesburg); Timothy Meade (Lusaka); Eugene Messou (Abidjan); Denis Nash (New York); Winstone Nyandiko Mokaya (Eldoret); Margaret Pascoe (Harare); Larry Pepper (Mbarara); Papa Salif Sow (Dakar); Sam Phiri (Lilongwe); Mauro Schechter (Rio de Janeiro); John Sidle (Eldoret); Eduardo Sprinz (Porto Alegre); Besigin Tonwe-Gold (Abidjan); Siaka Touré (Abidjan); Stefaan Van der Borght (Amsterdam); Ralf Weigel (Lilongwe); Robin Wood (Cape Town). Advisory Committee: Zackie Achmat, Chris Bailey, Kevin de Cock, Wafaa El-Sadr, Ken Freedberg, Helene Gayle, Charlie Gilks, Catherine Hankins, Tony Harries, Elly Katabira, Jonathan Sterne, Mark Wainberg. Centres which participated in this analysis: CEPREF (Abidjan, Côte d’Ivoire), HIVNAT (Bangkok, Thailand), Hospital de Clinicas/SOBRHIV (Porto Alegre, Brazil), Hospital Universitario Clementino Fraga Filho (Rio de Janeiro, Brazil), ANRS (Dakar, Senegal), Kamuzu Central Hospital/Lighthouse Trust (Lilongwe, Malawi), Generic Antiretroviral Therapy Project AMU (Kampala, Uganda), , Moi University College of Health Sciences/University of Indiana (Eldoret, Kenya), PHRU/Opera (Soweto, South Africa), University of Cape Town/Khayelitsha (Cape Town South Africa), YRG Care (Chennai, India), Immune Suppression Syndrome clinic (Mbarara, Uganda)/Helen Joseph Hospital Themba Lethu Clinic (WITS) (Johannesburg, South Africa), MTCT-Plus/, Mailman School of Public Health/Columbia University (New York, USA), Prospective Evaluation in the Use and Monitoring of Antiretrovirals in Argentina (PUMA) (Buenos Aires, Argentina).


Corresponding AuthorMatthias Egger, Institute of Social and Preventive Medicine (ISPM), University of Bern, Finkenhubelweg 11, 3012 Bern, Switzerland. Tel.: +41 31 631 35 01; Fax: +41 31 631 35 20: E-mail: egger@ispm.unibe.ch

Summary

Objectives  To describe temporal trends in baseline clinical characteristics, initial treatment regimens and monitoring of patients starting antiretroviral therapy (ART) in resource-limited settings.

Methods  We analysed data from 17 ART programmes in 12 countries in sub-Saharan Africa, South America and Asia. Patients aged 16 years or older with documented date of start of highly active ART (HAART) were included. Data were analysed by calculating medians, interquartile ranges (IQR) and percentages by regions and time periods. Not all centres provided data for 2006 and 2005 and 2006 were therefore combined.

Results  A total of 36 715 patients who started ART 1996–2006 were included in the analysis. Patient numbers increased substantially in sub-Saharan Africa and Asia, and the number of initial regimens declined, to four and five, respectively, in 2005–2006. In South America 20 regimes were used in 2005–2006. A combination of 3TC/D4T/NVP was used for 56% of African patients and 42% of Asian patients; AZT/3TC/EFV was used in 33% of patients in South America. The median baseline CD4 count increased in recent years, to 122 cells/μl (IQR 53–194) in 2005–2006 in Africa, 134 cells/μl (IQR 72–191) in Asia, and 197 cells/μl (IQR 61–277) in South America, but 77%, 78% and 51%, respectively, started with <200 cells/μl in 2005–2006. In all regions baseline CD4 cell counts were higher in women than men: differences were 22cells/μl in Africa, 65 cells/μl in Asia and 10 cells/μl in South America. In 2005–2006 a viral load at 6 months was available in 21% of patients Africa, 8% of Asian patients and 73% of patients in South America. Corresponding figures for 6-month CD4 cell counts were 74%, 77% and 81%.

Conclusions  The public health approach to providing ART proposed by the World Health Organization has been implemented in sub-Saharan Africa and Asia. Although CD4 cell counts at the start of ART have increased in recent years, most patients continue to start with counts well below the recommended threshold. Particular attention should be paid to more timely initiation of ART in HIV-infected men.

Abstract

Objectifs:  décrire les tendances temporelles des caractéristiques cliniques de base, les régimes initiaux de traitement et le suivi des patients commençant un traitement antirétroviral (ARV) dans les endroits à ressources limitées.

Méthodes:  Nous avons analysé les données de 17 programmes d’ARV dans 12 pays d’Afrique sub-saharienne, d’Amérique du sud et d’Asie. Les patients âgés de 16 ans ou plus avec documentation de la date de début de l’ART hautement actif (HAART) ont été inclus. Les données ont été analysées par le calcul de médianes, de gammes interquartile (IQR) et les pourcentages par régions et périodes. Tous les centres n’ont pas fourni des données pour 2006; dès lors, les données de 2005 et 2006 ont été combinées.

Résultats:  Un total de 36715 patients qui ont commencé l’ART de 1996 à 2006 ont été inclus dans l’analyse. Le nombre de patients a sensiblement augmenté en Afrique subsaharienne et en Asie, et le nombre des régimes initiaux a diminuéà 4 et 5, respectivement, en 2005/06. En Amérique du sud, 20 régimes étaient utilisés en 2005/06. Une combinaison de 3TC/D4T/NVP était utilisée pour 56% des patients africains et 42% des patients asiatiques. La combinaison AZT/3TC/EFV était utilisée dans 33% des cas en Amérique du sud. Le taux médian de CD4 de base a augmenté ces dernières années à 122 cellules/μl (IQR 53-194) en 2005/06 en Afrique, 134 cellules/μl (IQR 72-191) en Asie, et 197 cellules/μl (IQR 61-277) en Amérique du Sud, mais 77%, 78% et 51% respectivement, ont débuté le traitement avec < 200 cellules/μl en 2005/06. Dans toutes les régions le taux de cellules CD4 était plus élevé chez les femmes que chez les hommes; les différences étaient de 22 cellules/μl en Afrique, 65 cellules/μl en Asie et 10 cellules/μl en Amérique du Sud. En 2005/06 des données de charge virale à 6 mois étaient disponibles dans 21% des cas en Afrique, 8% des patients asiatique et 73% des patients en Amérique du Sud. Les valeurs correspondantes du nombre de cellules CD4 à 6 mois étaient de 74%, 77% et 81%.

Conclusions:  L’approche de santé publique proposée par l’Organisation Mondiale de la Santé pour l’administration de traitements ARV a été mise en œuvre en Afrique subsaharienne et en Asie. Bien que le nombre de cellules CD4 au début de la thérapie antirétrovirale a augmenté ces dernières années, la plupart des patients continuent de commencer bien en dessous du seuil recommandé. Une attention particulière devrait être accordée à plus d’initiation à temps de l’ART chez les hommes infectés par le VIH.

Abstract

Objetivos:  Describir las tendencias temporales en las características clínicas de base, los regimenes iniciales de tratamiento y la monitorización de pacientes comenzando terapia antirretroviral (TAR) en lugares con recursos limitados.

Métodos:  Hemos analizado datos de 17 programas de TAR en 12 países del África sub-Sahariana, Sudamérica y Asia. Se incluyeron pacientes con 16 años o más, con fecha documentada del comienzo de TAR altamente activa (TARAA). Se analizaron los datos calculando las medias, los rangos intercuartiles (RIC) y porcentajes por regiones y periodos de tiempo. No todos los centros proveyeron datos para el 2006 y por lo tanto se combinaron el 2005 y 2006.

Resultados:  Se incluyeron en el análisis 36,715 pacientes que comenzaron TAR entre 1996 - 2006. El número de pacientes aumentó sustancialmente en África sub-Sahariana y Asia, y el número de regimenes iniciales disminuyó a 4 y 5 respectivamente en 2005/06. En Sudamérica se utilizaron 20 regimenes en 2005/06. Se utilizó una combinación de 3TC/D4T/NVP para un 56% de los pacientes Africanos y un 42% de los pacientes Asiáticos; se utilizó AZT/3TC/EFV en un 33% de los pacientes en Sudamérica. La media del conteo base de CD4 aumentó en los últimos años, a 122 células/μl (IQR 53-194) en 2005/06 en África, 134 células/μl (IQR 72-191) en Asia, y 197 células/μl (IQR 61-277) en Sudamérica, pero 77%, 78% y 51%, respectivamente, comenzó con <200 células/μl en 2005/06. Los conteos basales de CD4 en todas las regiones fueron más altos en las mujeres que en los hombres: las diferencias fueron de 22 células/μl en África, 65 células/μl en Asia y 10 células/μl en Sudamérica. En el 2005/06 la carga viral a los 6 meses estaba disponible para un 21% de los pacientes en África, 8% de los pacientes Asiáticos y un 73% de los pacientes en Sudamérica. Los conteos correspondientes de CD4 a los 6 meses eran 74%, 77% y 81%.

Conclusiones:  El enfoque de salubrista de provisión de TAR propuesto por la OMS se ha implementado en África sub-Sahariana y Asia. Aunque los conteos de CD4 al comienzo del TAR han aumentado en los últimos años, la mayoría de los pacientes continúan empezando con conteos por debajo del umbral recomendado. Debe prestarse particular atención, en hombres infectados con VIH, el iniciar el TAR a tiempo.

Introduction

The World Health Organization (WHO) estimates that as a result of the recent scaling up of antiretroviral combination therapy (ART) in low- and middle-income countries, two million people living with HIV/AIDS were receiving treatment at the end of 2006, representing 28% of the estimated 7.1 million people in urgent need of treatment in these countries. From January 2004 to 2006, the number of patients on ART increased to 1.3 million in Sub-Saharan Africa, to 280 000 in Asia, and to 355 000 in South America and the Caribbean (World Health Organization, UNAIDS, UNICEF 2007). There is now increasing evidence that the immunological and virological responses to treatment in resource-limited countries can equal those in high-income settings (Djomand et al. 2003; Coetzee et al. 2004; Ivers et al. 2005; Tuboi et al. 2005, 2007; Braitstein et al. 2006) and mortality in HIV-infected patients has decreased with the increasing provision of ART. Mortality of patients starting ART has, however, been substantially higher than in industrialised countries, particularly in the first few months of treatment (Braitstein et al. 2006; Ferradini et al. 2006).

The high early mortality rate is related to patients initiating treatment with very low CD4 cell counts and accompanying co-morbidities and opportunistic infections (Lawn et al. 2005, 2006; Bekker et al. 2006; Liechty et al. 2007). An earlier analysis of the ART in Lower-Income Countries (ART-LINC) Collaboration showed that the median CD4 cell count was 108 cells/μl compared to 234 cells/μl in Europe and North America (Braitstein et al. 2006). Because of the large number of HIV-infected patients with advanced disease who are not yet treated, starting treatment earlier is challenging during the scale-up of ART in many settings. Faced with limited resources and shortages of qualified medical personnel, it is unclear to what extent ART programmes in low- and middle-income countries have been able to raise awareness about the need to start ART before serious complications develop and to promote testing and counselling in order to enrol patients at an earlier stage of the infection. It is also unclear to what extent programmes have been able to monitor treatment response in rapidly growing patient populations. We examined time trends in the monitoring and characteristics of patients starting ART using data from the ART-LINC collaboration, a network of treatment programmes in resource-limited settings (Dabis et al. 2005; Braitstein et al. 2006).

Methods

The ART-LINC collaboration of IeDEA

The ART in Lower Income Countries collaboration of the International Databases to Evaluate AIDS (ART-LINC of IeDEA) is a large collaborative network of HIV/AIDS treatment programmes in low and middle income countries in Africa, South America and Asia. The collaboration has been described in detail previously (see also http://www.art-linc.org and http://www.iedea-hiv.org) (Dabis et al. 2005; Braitstein et al. 2006). In brief, the collaboration was set up in 2003 with the aim to define the prognosis of HIV-infected patients treated with HAART in resource-limited settings, to compare the experience between different settings, delivery modes and types of monitoring; and to compare outcomes with those observed in industrialized nations. The data collected at participating sites are transferred to data management and statistical teams at the universities of Bern and Bordeaux, where data are cleaned, merged and analysed according to agreed protocols. The collaborative database is updated regularly. The present analysis includes all data available up to 29 June 2007. At all sites, institutional review boards had approved the collection and transfer of data.

Inclusion criteria and definitions

All patients aged 16 years or older with complete data on sex, date of birth and start of highly active antiretroviral therapy (HAART) were included in the study. HAART was defined as a minimum of three antiretroviral drugs and categorized into NNRTI-based regimen [two nucleoside reverse transcriptase inhibitors (NRTIs) and one non-nucleoside reverse transcriptase inhibitor (NNRTI)], PI-based regimen [two NRTIs and one protease inhibitor (PI)] and other regimens. Advanced stage of disease was defined as WHO stages III or IV or Centers for Disease Control and Prevention (CDC) stage C. Underweight was defined as a body mass index (BMI) <18.5 kg/m2. Measurements of laboratory values closest to the starting date of ART (within 6 months before up to one week after the date of starting ART) were taken as the baseline levels. For very low CD4 values (<25 cells/μl) and high HIV viral loads (>100 000 copies/ml) the time window was extended to one year before starting therapy. To describe trends in monitoring after ART had been initiated, measurements of CD4 cell counts and viral loads nearest to 6 months (within a window of 3–9 months) after start of therapy were evaluated.

Statistical analysis

Descriptive analyses were stratified by region (Sub-Saharan Africa, South America and Asia) and time period. Not all centres provided data for the year 2006 and we therefore combined the years 2005 and 2006 in all analyses. Trends over time were evaluated using a test for trend. Year of starting ART was fitted first as a categorical variable to assess whether the data were compatible with a linear relationship. Logistic regression or linear regression was used for binary or continuous outcomes, respectively, with some analyses restricted to the years 2001 and later, the period ART was scaled up in sub-Saharan Africa and Asia. Stata software (version 9.2, Stata Corporation, College Station, TX, USA) was used for all analyses. Results are presented as medians with interquartile ranges (IQR) and number of patients (%).

Results

Site characteristics

Of 39 089 patients included in the ART-LINC database, 36 715 patients (94%) from 17 ART programmes in 12 countries were included in the analysis (Table 1). Patients with a missing or implausible date of HAART initiation (= 1973, 5.1%), missing date of birth (= 344, 0.9%) or missing information on sex (= 57, 0.2%) were excluded. The majority of sites (11, 65%) were in Sub-Saharan Africa with the remainder from South America and Asia; the number of patients treated at each site ranged from 96 to 7484. Twelve sites were public clinics, two were research sites. One private for-profit clinic and one non-governmental organisation that provided family-based care were also included. All sites, except two, provided ART free of charge.

Table 1.   Characteristics of study sites in Sub-Saharan Africa, South-America and Asia
Site†LocationSite characteristicsStart of programmeNumber of patients included in analysisScale-up siteRoutine HIV-1 viral load testing
  1. Routine viral load monitoring was defined as at least one measurement between 3 and 9 months after starting HAART, in at least 50% of patients; the definition of scale-up site was based on the cumulative number of patients over time.

  2. †Abbreviations listed at the end of the article.

  3. ‡Network including sites in South Africa, Zambia, Kenya, Rwanda, Uganda, Côte d' Ivoire.

Sub-Saharan Africa
 CEPREFAbidjan, Côte d’IvoirePublic, free treatment19992535YesNo
 1290 ANRSDakar, SenegalResearch site, free treatment1998393NoYes
 AMPATHEldoret, KenyaPublic, free treatment20027484YesNo
 AMUKampala, UgandaResearch site, fee-for-service200296NoYes
 ISSMbarara, UgandaPublic, free treatment20011337NoNo
 LighthouseLilongwe, MalawiPublic, free treatment since June 200420007366YesNo
 GugulethuCape Town, South AfricaPublic, free treatment20022286YesYes
 KhayelitshaCape Town, South AfricaPublic, free treatment20011730YesYes
 Themba LethuJohannesburg, South AfricaPublic, free treatment19994464YesNo
 PHRUSoweto, South AfricaPublic, free treatment2004750NoYes
 MTCT Plus‡SeveralFamily based care, free treatment20031615NoNo
South America
 PUMABuenos Aires, ArgentinaPublic, free treatment2003390NoYes
 SOBRHIVPorto Alegre, BrazilPublic, free treatment19961105NoYes
 RIOHIVRio de Janeiro, BrazilPublic, free treatment1996618NoYes
Asia
 YRG CareChennai, IndiaPrivate, fee-for-service19964047YesNo
 HIVNATBangkok, ThailandResearch site, free treatment2003278NoNo
 MTCT Plus, ThailandBangkok, ThailandPublic, free treatment2003221NoNo

Trends in patient characteristics over time

The mean number of patients receiving ART increased substantially in sites from sub-Saharan Africa and Asia, but not in South America where many patients started treatment 1996 to 2000 (Table 2). In sub-Saharan Africa, a 39-fold increase in the number of patients starting ART was observed since 2001 (Figure 1, top panel). The median age at the start of therapy was 35 years with little variation over time and across regions. Men were generally older than women at therapy initiation (median 37 vs. 33 years, < 0.001), with little variation over time (Table 2). The proportion of women varied across regions: in sub-Saharan Africa 19 571 (65%) of 30 056 patients were women compared to 747 (35%) of 2113 patients in South America and 1415 (31%) of 4546 patients in Asia. In sub-Saharan Africa and Asia the proportion of women increased over time (= 0.007 and < 0.001, respectively). In all regions a great majority of patients were treatment naïve.

Table 2.   Demographic and clinical characteristics of patients starting HAART (12 countries, years 1996–2006)
Region/ calendar periodNumber of patientsNumber of women (%)Median age in years (IQR)Number of treatment naïve patients (%) Type of ART regimen (%)Number of regimens used to treat 95% of patients
MenWomenNNRTI-basedPI-basedOther/ unknown
  1. †This is probably an underestimate because data on regimens were missing for a substantial proportion of patients during this period.

Sub-Saharan Africa
 1996–2000230126 (55%)42 (35–47)34 (29–39)199 (87%)90 (39%)99 (43%)41 (18%)17
 2001–20021590940 (59%)38 (32–44)34 (29–40)1321 (83%)905 (57%)585 (37%)100 (6%)11
 2003–200411 7117695 (66%)38 (32–44)33 (28–39)10 287 (88%)9214 (79%)2122 (18%)375 (3%)4
 2005–200616 52510 810 (65%)38 (32–44)33 (28–40)15 475 (94%)14,744 (89%)1409 (9%)372 (2%)4
South America
 1996–2000920299 (33%)36 (32–43)35 (29–44)658 (72%)167 (18%)722 (78%)31 (3%)23
 2001–2002319125 (39%)37 (32–44)35 (28–44)294 (92%)224 (70%)89 (28%)6 (2%)10
 2003–2004541201 (37%)36 (31–42)34 (29–41)517 (96%)355 (66%)150 (28%)36 (7%)19
 2005–2006333122 (37%)39 (33–46)37 (31–47)319 (96%)228 (68%)82 (25%)23 (7%)20
Asia
 1996–2000416102 (25%)34 (30–39)27 (22–34)88 (21%)38 (9%)49 (12%)329 (79%)8†
 2001–2002837179 (21%)34 (30–39)27 (23–33)623 (74%)614 (73%)10 (1%)213 (25%)4†
 2003–20041660527 (32%)34 (30–39)30 (26–35)1521 (92%)1513 (91%)10 (1%)137 (8%)3
 2005–20061633607 (37%)35 (32–41)30 (27–36)1536 (94%)1481 (91%)43 (3%)109 (7%)5
Figure 1.

 Trends over time in the number of patients starting ART (expressed in per cent of the total number of patients in the region), the median CD4 cell at baseline and the percent of patients with HIV viral load tests at 6 months (12 countries, years 2001–2006).

ART regimens

The number of regimens used to treat 95% of patients declined in sub-Saharan Africa, from 17 in the period 1996–2000 to four in 2005–2006. In South America this number declined initially but then rose to 20 different regimens in the most recent period. In Asia there were eight regimens in 1996–2000, but this is probably an underestimate because data on regimens were missing for many patients during this period. In 2005–2006 the number for Asia was five (Table 2). The use of NNRTI-based first-line regimens increased substantially during the study period, and dominated from 2001 onwards (Figure 2). In sub-Saharan Africa and Asia few patients started ART with a PI-based regimen in recent years, but PIs were used by over 25% of patients throughout the study period in South America. The most frequently used regimen in sub-Saharan Africa and Asia was lamivudine (3TC), stavudine (D4T) and nevirapine (NVP) and in South America it was zidovudine (AZT), lamivudine (3TC) and efavirenz (EFV). These regimens were used for 16 811 patients (56%), 1929 patients (42%) and 701 patients (33%) in Africa, Asia and South America, respectively. In the most recent period (2005–2006) 13 576 (82%) patients in sub-Saharan Africa started ART with a D4T-containing regimen compared to 1080 (66%) in Asia and 50 (15%) in South America.

Figure 2.

 Type of HAART regimen used in ART-LINC centres in different regions (12 countries, years 2001–2006).

Availability of examinations at baseline and six months

The availability of laboratory measurements at baseline and 6 months after starting ART is summarised in Table 3. In sub-Saharan Africa, the proportion of patients with a baseline CD4 cell count dropped in the early phase of scaling up ART but increased thereafter. In the most recent period, 78% of patients had a CD4 count measured at baseline and 74% at 6 months. In South America the availability of CD4 counts at baseline decreased slightly, to 71% in 2005/06 whereas at 6 months it had remained constant at 81% since 2001–2002. In Asia, 90% and 77% had a baseline and 6-month CD4 count measured in 2005–2006. Viral load testing decreased in sub-Saharan Africa to 12% at baseline, and 21% at 6 months. No clear trends over time were observed for South America and Asia. In the most recent period (2005–2006), the proportion of patients with a viral load measurement at 6 months was 73% in South America and 8% in Asia.

Table 3.   Availability of laboratory measurements at baseline and 6 months after starting ART (12 countries, years 1996–2006)
 Baseline measurementsMeasurements at 6 months
Number of patientsCD4 countHIV viral loadHaemoglobinNumber of patients†CD4 countHIV-1 viral load
  1. Number of patients (%) are shown.

  2. †Number of patients followed up to 6 months.

Sub-Saharan Africa
 1996–2000230188 (82%)181 (79%)186 (81%)216165 (76%)166 (77%)
 2001–20021590796 (50%)523 (33%)530 (33%)1332561 (42%)438 (33%)
 2003–200411 7117950 (68%)2206 (19%)5868 (50%)88126189 (70%)2357 (27%)
 2005–200616 52512 888 (78%)1909 (12%)7344 (44%)48783596 (74%)1026 (21%)
South America
 1996–2000920726 (79%)471 (51%)9 (1%)890651 (73%)581 (65%)
 2001–2002319246 (77%)149 (47%)116 (36%)308250 (81%)220 (71%)
 2003–2004541407 (75%)311 (57%)134 (25%)447360 (81%)334 (75%)
 2005–2006333236 (71%)160 (48%)192 (58%)129105 (81%)94 (73%)
Asia
 1996–2000416309 (74%)58 (14%)248 (60%)312153 (49%)27 (9%)
 2001–2002837629 (75%)91 (11%)624 (75%)625312 (50%)24 (4%)
 2003–200416601446 (87%)142 (9%)1264 (76%)1182723 (61%)77 (7%)
 2005–200616331475 (90%)143 (9%)1354 (83%)775594 (77%)61 (8%)

Baseline haemoglobin was measured in about half of patients in sub-Saharan Africa, with no increase in recent years. In contrast, haemoglobin measurements at baseline became more common over time in South America and Asia: 58% and 83%, respectively, had it measured in the most recent period (Table 3). Among patients with information on the initial HAART regimen, 4165 (14%) of 29 487 patients in sub-Saharan Africa were on an AZT containing regimen, compared to 1576 (76%) of 2086 patients in South America and 1050 (28%) of 3764 patients in Asia (< 0.001 for differences across regions). Among patients starting an AZT containing regimen, 703 (35%) had haemoglobin measured at baseline in Africa, 356 (23%) in South America and 245 (61%) in Asia. In South America, the proportion of patients on an AZT containing regimen with a baseline haemoglobin increased over time, to 59% in 2005–2006 (< 0.001). There was little evidence for a trend in this percentage in the other regions.

Finally, in sub-Saharan Africa the availability of the BMI at baseline increased from 556 (35%) patients with a BMI in 2001–2002 to 12 129 patients (73%) in 2005 and 2006. Similarly, 538 (64%) of patients had a BMI measured in 2001–2002 in Asia, compared to 1402 patients (86%) in 2005–2006. Few patients in South America had baseline height recorded.

CD4 counts and clinical stage at the start of ART

The middle panel of Figure 1 shows the median CD4 cell counts in patients starting ART 2001 to 2005–2006. Overall the median count was 114 cells/μl (IQR 48–89 cells/μl) but there was substantial variation by region and time: medians (IQR) were 111 cells/μl (45–184 cells/μl) in sub-Saharan Africa, 123 cells/μl (60–190 cells/μl) in Asia and 151 cells/μl (55–257 cells/μl) in South America. In Sub-Saharan Africa the median count was lowest in the year 2002 (60 cells/μl, IQR 18–147 cells/μl) and increased to 122 cells/μl (IQR 53–194 cells/μl) thereafter (P < 0.001). In South America, CD4 cell counts were consistently higher than in the other regions and reached 197 cells/μl (IQR 61–277 cells/μl) in 2005–2006 (= 0.003). In Asia there was some increase in CD4 cell counts in recent years, to 134 cells/μl (IQR 72–191) in 2005–2006, but overall there was little evidence for a time trend (= 0.32).

In 2005–2006 9883 (77%) of 12 888 patients with available measurements from sub-Saharan Africa started ART with a CD4 count below 200 cells/μl compared to 1150 (78%) of 1475 patients in Asia and 120 (51%) of 236 patients in South America. The corresponding figures for starting below 100 cells/μl were 5420 (42%), 539 (37%) and 81 (34%), respectively. In all regions baseline CD4 cell counts were higher in women than men. The mean difference was 22 cells/μl (95% CI 17–26) in sub-Saharan Africa, 65 cells/μl (95% CI 56–75) in Asia and 10 cells/μl (95% CI 5–25) in South America. Trends over time were similar for the two sexes (tests for interaction > 0.50).

Information on baseline clinical stage was available for 27 391 patients (91%) from sub-Saharan Africa, 1452 patients (69%) from South America and 100% of patients from Asia. Data are strictly not comparable because some sites used the CDC clinical stages and others the WHO classification. Among patients with information on clinical stage, most started treatment with advanced disease, in CDC stage C or WHO stages III or IV: 16 975 (62%) in sub-Saharan Africa, 1148 (79%) in South America and 1986 (44%) in Asia. In Sub-Saharan Africa and Asia over 90% of patients starting HAART in the most recent period had information on WHO stage or a documented CD4 cell count. In Latin America this percentage was about 85% throughout the study period.

Discussion

This study of more than 36 000 patients from 17 ART treatment sites in low- and middle-income countries found that the number of patients starting ART increased substantially in sub-Saharan Africa and Asia, but not in South America. An important finding is that in more recent years patients initiated treatment with less pronounced immunodeficiency, particularly in South America. However, even in 2005–2006 a majority of patients started with a CD4 count of less than 200 cells/μl: 80% in sub-Saharan Africa, 78% in Asia and 61% in South America. In all regions, but particularly in sub-Saharan African and Asia, NNRTI-based regimens dominated, and 82% of patients in sub-Saharan Africa, 66% in Asia and 15% in South America started with a D4T containing regimen. In recent years, viral load was no longer commonly measured at the start of treatment or at 6 months in sub-Saharan Africa and Asia whereas in Latin America about half of patients had their viral load determined at baseline and about 70% at 6 months.

Based on the experience with treating tuberculosis, WHO developed a public health approach to providing ART in resource-limited settings, taking into account the realities of weak health systems, costs and availability of drugs and the experience of pilot programmes (Gilks et al. 2006; WHO 2006). Key characteristics of this approach include the standardisation of first-line and second-line regimens, simplified clinical decision making and standardised clinical and laboratory monitoring (Gilks et al. 2006). Viral load monitoring is not considered essential, and individual drug resistance testing is not recommended. A survey of national guidelines from 43 middle and lower income countries showed that the WHO (2002) guidelines have been adopted widely (Beck et al. 2006). Our study shows that these guidelines have been implemented in sub-Saharan Africa and Asia: the number of regimens in use to treat 95% of patients declined to four and five, respectively. In Brazil and Argentina, national guidelines for ART include routine viral load measurements, and a larger number of first-line regimens are available and used in these countries (Ministry of Health 2004; Sociedad 2006). Indeed, treatment guidelines in Brazil allow for the use of more antiretroviral drugs than any other middle- or low-income country (Nunn et al. 2007). Of note, the public health approach to ART also influenced the strategy of the pharmaceutical industry, including suppliers of generic drugs. Several competitively priced fixed dose combinations became widely available at the time the guidelines were disseminated, and this may have facilitated implementation in some settings.

The World Health Organization 2002 guidelines recommended ART only for patients with WHO stage IV disease or a CD4 cell count of less than 200 cells/μl (World Health Organization 2002). The revised 2003 guidelines, however, state that in patients with WHO stage III disease, treatment should be considered when the CD4 count is below 350 cells/μl and initiated before the CD4 count drops to below 200 cells/μl (WHO 2004). We found that a majority of patients continue to start treatment well below this threshold. The higher median baseline CD4 in Brazil reflects both the well established treatment programmes with little or no backlog and guidelines that recommend ART at higher CD4 counts. Disease progression and mortality in patients starting HAART is associated with more advanced immunodeficiency (Egger et al. 2002), and it is likely that an earlier start would largely prevent the excess mortality observed in lower income settings during the first few months of therapy (Braitstein et al. 2006). Studies have shown that delays in treatment initiation are related to unawareness of HIV status, costs and stigma, as well as waiting lists, shortage of personnel and organizational problems (Coetzee et al. 2004; Ehiri et al. 2005).

A majority of the patients receiving ART in the African sites were women, and this proportion increased during the study period. In contrast to sub-Saharan Africa, a larger number of men than women received ART in the Latin America and Asian sites. These differences probably reflect differences in the routes of HIV transmission, with heterosexual transmission dominating in Africa, and sex between men and intravenous drug use playing an important role in South America and Asia (UNAIDS 2006). We previously compared UNAIDS data on the gender distribution of HIV infection in the countries represented in ART-LINC with the proportions of women and men receiving ART in the different programmes participating in ART-LINC (Braitstein et al. 2008). We found that the proportion of female ART recipients was similar to, or higher than the estimated proportion of HIV-infected adults who are women in most sub-Saharan countries and the programmes in Brazil, Argentina and Thailand (Braitstein et al. 2008). These findings are supported by a systematic review, which found a female to male ratio of recipients of HAART of more than one in all but two of 21 published studies in seven countries in Southern Africa (Myer et al. 2005). The only ART-LINC centre in India, and one of the largest in the collaboration, requires some patients to pay for treatment. Women’s inferior economic position is an important barrier to health care in India (Go et al. 2003; Fikree & Pasha 2004). This might help explain why women were under-represented in this clinic when compared to the UNAIDS estimates (Braitstein et al. 2008). Note that in previous analyses from this collaboration, survival in the first year of HAART was similar in women and men (hazard ratio 0.84, 95% CI 0.58–1.23) (Braitstein et al. 2006).

Gender inequalities that inhibit men’s use of health care have received relatively little attention (Greig & Lang 2000). While traditional gender roles give men the power to deny women access to health care (Go et al. 2003), the physical and emotional strength associated with masculinity and power can also make it unacceptable for men to seek health care (Greig & Lang 2000). Also, women are often more likely than men to attend services because of dedicated provision of reproductive and child health clinics. Health services that address the needs of men remain under-developed and men are more likely to seek care in the informal sector, such as pharmacies (Collumbien & Hawkes 2000; Varga 2001).

Several studies from North America and Europe (Saah et al. 1994; Moore et al. 1998; Sullivan et al. 1998; Mocroft et al. 1999) showed that anaemia in HIV-infected patients is associated with higher rates of disease progression and death, independently of the CD4 cell count and other prognostic factors. Studies from Ethiopia (Mekonnen et al. 2003) and Asia (Zhou & Kumarasamy 2005) have also shown an association of anaemia with mortality. Similarly, total lymphocyte count and body mass index are independent predictors of disease progression and death (Mekonnen et al. 2003; Anastos et al. 2004). A recent analysis of the of IeDEA cohorts in Southern and West Africa showed that in patients starting ART, a prognostic model that included haemoglobin and total lymphocyte count was similarly powerful compared to a model including the CD4 cell count. This suggests that haemoglobin and total lymphocyte count could potentially be used instead of CD4 in resource-constrained settings (May et al. 2008). However, with the exception of sites in Asia, we found that at present haemoglobin is not widely available in patients starting ART.

Strengths of our study include its large size, the wide geographic coverage, and longitudinal design. ART-LINC of IeDEA is one of the largest databases of HIV-infected patients followed up in resource-limited settings. Many of the sites have provided ART over extended periods of time, which allowed analyses of trends over time. The type and size of the centres vary considerably and include large scale-up cohorts but also smaller research-oriented sites and private clinics. We acknowledge that the clinics and programmes who participate in ART-LINC are not representative of all sites providing ART in the country. The ART-LINC sites are mainly urban and capture data in electronic databases. Furthermore, not all sites have contributed data for all time periods: only relatively few sites were operating in the earlier years before the scale-up of therapy began.

In conclusion, the public health approach to providing ART has been implemented in many ART-LINC sites. However, most patients start ART at advanced disease, with CD4 cell counts well below the recommended thresholds. Further research is urgently needed to better understand the reasons why many patients start with such advanced disease and how this could be effectively addressed (Egger et al. 2005; Lawn et al. 2006). There were some improvements in recent years and it will be important to document to what extent the trend towards higher CD4 cell counts will translate into improved outcomes. Similarly, it will be important to compare outcomes of programmes with and without access to viral load monitoring, and further work is required on the possible role of haemoglobin, total lymphocyte count and BMI in deciding on when to start ART and monitoring of treatment response. Gender equity in access to care and treatment for HIV infection is a complex issue. Women are more vulnerable than men to becoming infected with HIV and continued efforts are needed to empower women and secure their rights to treatment and care for HIV infection. Attention, however, should also be paid to HIV-infected men to ensure that gender stereotypes do not prevent them from accessing ART.

Acknowledgements

We are grateful to all treatment programmes and patients participating in ART-LINC. The ART-LINC collaboration of IeDEA is funded by the US National Institutes of Health (Office of AIDS Research and National Institute of Allergy and Infectious Diseases) and the French Agence Nationale de Recherches sur le Sida (ANRS).

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