Literature DB >> 26478610

Monitoring of HIV treatment in seven countries in the WHO Region of the Americas.

Pablo F Belaunzarán-Zamudio1, Yanink N Caro-Vega1, Bryan E Shepherd2, Brenda E Crabtree-Ramírez1, Paula M Luz3, Beatriz Grinsztejn3, Carina Cesar4, Pedro Cahn4, Claudia Cortés5, Marcelo Wolff5, Jean W Pape6, Denis Padgett7, Eduardo Gotuzzo8, Catherine McGowan9, Juan G Sierra-Madero1.   

Abstract

OBJECTIVE: To determine the prevalence of adequate monitoring and the costs of measuring CD4+ T-lymphocytes (CD4+ cell) and human immunodeficiency virus (HIV) viral load in people receiving antiretroviral therapy (ART) in seven countries in the WHO Region of the Americas.
METHODS: We obtained retrospective, longitudinal data for 14 476 adults who started a first ART regimen at seven HIV clinics in Argentina, Brazil, Chile, Haiti, Honduras, Mexico and Peru between 2000 and 2011. We estimated the proportion of 180-day periods with adequate monitoring, which we defined as at least one CD4+ cell count and one viral load measurement. Factors associated with adequate monitoring were analysed using regression methods. The costs of the tests were estimated.
FINDINGS: The median follow-up time was 50.4 months; the proportion of 180-day periods with adequate CD4+ cell counts was 69% while the proportion with adequate monitoring was 62%. Adequate monitoring was more likely in participants who were older, who started ART more recently, whose first regimen included a non-nucleoside reverse transcriptase inhibitor or who had a CD4+ cell count less than 200 cells/µl at ART initiation. The cost of one CD4+ cell count ranged from 7.37 United States dollars (US$) in Argentina to US$ 64.09 in Chile; the cost of one viral load measurement ranged from US$ 20.34 in Brazil to US$ 186.28 in Haiti.
CONCLUSION: In HIV-infected participants receiving ART in the WHO Region of the Americas, CD4+ cell count and viral load monitoring was often carried out less frequently than regional guidelines recommend. The laboratory costs of monitoring varied greatly.

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Year:  2015        PMID: 26478610      PMCID: PMC4581655          DOI: 10.2471/BLT.14.147447

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


Introduction

For people living with human immunodeficiency virus (HIV) who are receiving combination antiretroviral therapy (ART), the most important predictors of treatment outcomes are CD4+ T-lymphocyte (CD4+ cell) count and HIV load in the blood.1 Both international and national health organizations recommend that the CD4+ cell count, viral load or both be measured routinely every three to 12 months during ART.2–4 In Latin America, national clinical guidelines recommend measuring the CD4+ cell count and the viral load every two to six months in people starting ART and then every three to six months once viral suppression has been achieved.5–10 Recently, the World Health Organization (WHO) updated its guidelines to promote earlier treatment initiation and enhanced monitoring, preferably by viral load testing.2 The number of people receiving ART and the cost of treatment are expected to increase in the future because of the worldwide trend to initiate ART at higher CD4+ cell counts and earlier identification of HIV-infected individuals. Improvements in life expectancy resulting from expanded ART programmes are also thought to increase costs.11 WHO has been working with regional United Nations agencies and in-country staff and with national ministries of health to support the development and implementation of ART guidelines in individual countries.12 At present, however, there is little information on the application of, and adherence to, current WHO and national clinical guidelines in the WHO Region of the Americas. The aims of this study were to determine how frequently the CD4+ cell count and HIV viral load were monitored in people receiving ART in the region between 2000 and 2011. We also wanted to assess the level of adherence to local clinical guidelines and to identify factors associated with infrequent CD4+ cell count and viral load monitoring. We also estimated the cost of CD4+ cell count and viral load measurements in the region.

Methods

We used retrospective, longitudinal data routinely collected during clinical care and held by the Caribbean, Central and South America Network for HIV Epidemiology (CCASAnet),13 which comprises a consortium of adult HIV clinics from seven countries (Argentina, Brazil, Chile, Haiti, Honduras, Mexico and Peru). CCASAnet was established in 2006;14 the consortium sites that contributed data to this study are listed in Box 1. All participants who were at least 18 years of age and who initiated their first ART regimen between 1 January 2000 and 31 December 2011 were eligible for inclusion. We excluded participants enrolled in clinical trials to avoid potential bias due to special monitoring practices in these trials. Fundación Huésped, Buenos Aires, Argentina. Instituto de Pesquisa Clinica Evandro Chagas, Fundacão Oswaldo Cruz, Rio de Janeiro, Brazil. Fundación Arriarán, Santiago, Chile. Le Groupe Haitien d'Etude du Sarcome de Kaposi et des Infections Opportunistes, Port-au-Prince, Haiti. Instituto Hondureño de Seguridad Social and Hospital Escuela, Tegucigalpa, Honduras. Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico. Instituto de Medicina Tropical Alexander von Humboldt, Lima, Peru. The follow-up period after ART initiation was divided into 180-day periods; follow-up ended on the day of the last recorded visit or when death occurred. Participants were defined as being lost to follow-up if they had not visited the clinic in the 12 months before the database closing date of 1 January 2012. For the primary analysis, treatment monitoring was defined as adequate if at least one CD4+ cell count and one viral load measurement had been made in each 180-day follow-up period. The site in Haiti did not measure viral load during the study period and was not included in the primary analysis. However, the Haitian site was included in a secondary analysis, in which we defined adequate monitoring using the CD4+ cell count alone (in which case, at least one CD4+ cell count had to be measured during each 180-day period). The primary study outcome was the proportion of 180-day periods during which there was adequate monitoring. Any remaining follow-up time that did not fit within a 180-day period was ignored. For example, if a participant was followed for 400 days, two 180-day periods were included in calculating the proportion of follow-up with adequate monitoring; the remaining 40 days were not included. However, the remaining follow-up periods were included in sensitivity analyses as additional periods. The CD4+ cell count at ART initiation was defined as the measurement closest to the start of ART, but no more than 180 days before or 7 days after the start, and was categorized as either less than 200, 200–350 or more than 350 cells/µL. A participant was described as having had an AIDS-defining event before ART initiation if they had clinical disease that could be classified as Centers for Disease Control and Prevention category C or WHO stage IV. Combination antiretroviral therapy was defined as: (i) therapy based on a non-nucleoside reverse transcriptase inhibitor (e.g. one non-nucleoside reverse transcriptase inhibitor plus two nucleoside reverse transcriptase inhibitors); (ii) protease inhibitor-based therapy, including treatment with one ritonavir-boosted or unboosted protease inhibitor plus two nucleoside reverse transcriptase inhibitors; (iii) triple nucleoside reverse transcriptase inhibitor regimens; or (iv) any other regimen containing at least three drugs. Data were collected at each study site and entered into the database at the local level using codes that did not identify individual participants. Thereafter, data were sent for harmonization to the CCASAnet data coordinating centre at Vanderbilt University, Nashville, United States of America. The coordinating centre also carried out data quality checks and on-site audits to ensure data accuracy. Ethical approval was obtained from institutional review boards at each study site and at Vanderbilt University.

Statistical analysis

Participant-level factors associated with the frequency of monitoring were identified using Poisson regression: the number of 180-day periods with adequate monitoring was the outcome and the total number of 180-day periods was the offset. A quasi-Poisson estimation procedure was used. Multivariable models included age, sex, CD4+ cell count at ART initiation, year of ART initiation, prior AIDS-defining events and the first ART regimen. Missing data on the CD4+ cell count and prior AIDS-defining events were imputed using multiple imputation with 10 replications. The rate ratio for adequate monitoring was computed for each site and the combined rate ratio across all sites was estimated using random effects meta-analysis. The costs of measuring the CD4+ cell count and viral load were obtained for each site in 2014 in the local currency. Costs were subsequently converted to United States dollars (US$) using exchange rates from the Wall Street Journal for Argentina, Brazil, Chile, Mexico and Peru15 and rates from local central banks for Haiti16 and Honduras.17 The median cost of all CD4+ cell counts and viral load measurements per participant per year were estimated for each site. All analyses were performed using R statistical software (R-foundation, Vienna, Austria). Analysis scripts are available from the corresponding author.

Results

A total of 14 476 participants at the study sites met inclusion criteria: 1285 from Argentina, 2446 from Brazil, 1080 from Chile, 5696 from Haiti, 789 from Honduras, 772 from Mexico and 2408 from Peru. The characteristics of the sites, their sources of funding and the approximate cost of laboratory measurements at each site are summarized in Table 1. The cost of a CD4+ cell count measurement at the different sites ranged from US$ 7.37 in Argentina to US$ 64.09 in Chile and the cost of a viral load measurement ranged from US$ 20.34 in Brazil to US$ 186.28 in Haiti. Guidelines used by all sites recommended measuring the CD4+ cell count every six months or more frequently. Table 2 lists the participants’ demographic characteristics at ART initiation at each site. The median follow-up time was 50.4 months (interquartile range, IQR: 27–82). Overall loss to follow-up was 709 participants (4.9%) ranging from 5% or less in Brazil and Peru to 24.7% in Argentina. The Haitian site provided data only for participants who were not lost to follow-up. There were 967 deaths (6.7%).
Table 1

Antiretroviral treatment programmes in seven countries in the WHO Region of the Americas, 2000–2011

CharacteristicSite of adult HIV clinica
ArgentinaBrazilChileHaitiHondurasMexicoPeru
No. of participants in study12852446108056967897722408
Start of universal access to ART, year20001991b20032003200320022004
Type of clinicPrivatePublicPublicNGOPublicPublicPublic
Guidelines used for monitoring ART efficacySADI, MOHMOHMOHMOH, PAHOMOHMOHMOH
Recommended periodicity of CD4+ cell count monitoring3–4 months3–6 months3–4 monthsc6 months6 months4–6 months6 months
Cost of one CD4+ cell count, US$d7.3717.6264.0932.614.3133.3959.6738.12e
Source of funding for CD4+ cell count monitoringRefund from Argentine government, social insuranceBrazilian governmentChilean governmentPEPFAR, GFATMHonduran government, social insuranceMexican governmentPeruvian government
Cost of one HIV viral load measurement, US$d55.2620.34119.14186.28f 33.39g160.19h119.2786.32
Source of funding for HIV viral load monitoringRefund from Argentine government, social insuranceBrazilian governmentChilean governmentResearch-fundedHonduran government, social insuranceMexican governmentPeruvian government

ART: antiretroviral therapy; CD4+ cell: CD4+ T lymphocyte; GFATM: Global Fund to Fight AIDS, Tuberculosis and Malaria; HIV: human immunodeficiency virus; MOH: ministry of health; NGO: nongovernmental organization; PAHO: Pan American Health Organization; PEPFAR: The United States President’s Emergency Plan for AIDS Relief; SADI: Sociedad Argentina de Infectología; US$: United States dollar; WHO: World Health Organization.

a Sites participating in the study are listed in Box 1.

b 1991 for monotherapy, 1994 for dual therapy and 1996 for active antiretroviral therapy.

c Every six months for participants with an undetectable viral load, according to the most recent Chilean guidelines (December 2013).

d Costs were converted into United States dollars using exchange rates for 9 July 2014. Exchange rates were obtained from the Wall Street Journal for Argentina, Brazil, Chile, Mexico and Peru15 and from local central banks for Haiti16 and Honduras.17

e Cost quoted by the Peruvian National Institute of Health to public institutions.

f Cost for research studies.

g Honduran government cost.

h Honduran social insurance cost.

Table 2

Characteristics of participants receiving ART in seven countries in the WHO Region of the Americas, 2000–2011

Participants’ characteristicSite of adult HIV clinica
Argentina (n = 1285)Brazil (n = 2446)Chile (n = 1080)Haiti (n = 5696)Honduras (n = 789)Mexico (n = 772)Peru (n = 2408)Total (n = 14 476)
Age in years, median (IQR)39(33–46)38(31–46)38(32–45)39(32–46)36(30–43)34(29–42)35(29–43)37(31–45)
Male sex, no. (%)925 (72)1611 (66)952 (88)2480 (44)422 (53)673 (87)1691 (70)8754 (60)
Probable cause of infection, no. (%)
Heterosexual sex340 (26)1136 (46)285 (26)0 (0)471 (60)219 (28)1562 (65)4013 (28)
Homosexual sex181 (14)833 (34)785 (73)0 (0)49 (6)514 (67)831 (35)3193 (22)
Other55 (4)81 (3)9 (1)0 (0)3 (0)17 (2)13 (1)178 (1)
Unknown709 (55)396 (16)1 (0)5696 (100)266 (34)22 (3)2 (0)7092 (49)
CD4+ cell count at ART initiation, no. (%)
Data missing306 (24)426 (17)302 (28)772 (14)151 (19)132 (17)326 (14)2415 (17)
200–350 cells/µL < 200 cells/µL306 (24)771 (32)373 (35)3035 (53)447 (57)355 (45)1222 (51)6509 (45)
200–350 cells/µL349 (27)650 (27)234 (22)1537 (27)146 (19)184 (24)526 (22)3626 (25)
350 cells/µL324 (25)599 (24)171 (16)352 (6)45 (6)101 (13)334 (14)1926 (13)
Prior AIDS-defining eventb at ART initiation, no. (%)54 (4)172 (7)292 (27)1223 (21)252 (32)332 (43)848 (35)3173 (22)
Prior AIDS-defining event or CD4+ cell count < 200 cells/µL at ART initiation335 (26)871 (36)541 (50)3423 (60)536 (68)486 (63)1515 (63)7707 (53)
NNRTI-based ART regimen, no. (%)869 (68)1270 (52)858 (79)5279 (93)745 (94)607 (79)2024 (84)11 652 (80)

AIDS: acquired immune deficiency syndrome; ART: antiretroviral therapy; CD4+ cell: CD4+ T lymphocyte; HIV: human immunodeficiency virus; IQR: interquartile range; NNRTI: non-nucleoside reverse transcriptase inhibitor; WHO: World Health Organization.

a Sites participating in the study are listed in Box 1.

b A participant had an AIDS-defining event if they had clinical disease that could be classified as Centers for Disease Control and Prevention category C or WHO stage IV.

ART: antiretroviral therapy; CD4+ cell: CD4+ T lymphocyte; GFATM: Global Fund to Fight AIDS, Tuberculosis and Malaria; HIV: human immunodeficiency virus; MOH: ministry of health; NGO: nongovernmental organization; PAHO: Pan American Health Organization; PEPFAR: The United States President’s Emergency Plan for AIDS Relief; SADI: Sociedad Argentina de Infectología; US$: United States dollar; WHO: World Health Organization. a Sites participating in the study are listed in Box 1. b 1991 for monotherapy, 1994 for dual therapy and 1996 for active antiretroviral therapy. c Every six months for participants with an undetectable viral load, according to the most recent Chilean guidelines (December 2013). d Costs were converted into United States dollars using exchange rates for 9 July 2014. Exchange rates were obtained from the Wall Street Journal for Argentina, Brazil, Chile, Mexico and Peru15 and from local central banks for Haiti16 and Honduras.17 e Cost quoted by the Peruvian National Institute of Health to public institutions. f Cost for research studies. g Honduran government cost. h Honduran social insurance cost. AIDS: acquired immune deficiency syndrome; ART: antiretroviral therapy; CD4+ cell: CD4+ T lymphocyte; HIV: human immunodeficiency virus; IQR: interquartile range; NNRTI: non-nucleoside reverse transcriptase inhibitor; WHO: World Health Organization. a Sites participating in the study are listed in Box 1. b A participant had an AIDS-defining event if they had clinical disease that could be classified as Centers for Disease Control and Prevention category C or WHO stage IV.

Frequency and cost

The frequency and cost of CD4+ cell counts and viral load measurements varied according to the study site (Table 3). The median frequency of CD4+ cell counts ranged from 2.6 per year in Argentina and Mexico to 1.0 per year in Haiti and the median frequency of viral load measurements ranged from 2.6 per year in Argentina and Mexico to 0.9 per year in Honduras. The annual cost per participant of CD4+ cell count and viral load monitoring was US$ 38 and US$ 140, respectively (Table 3). However the cost varied greatly between sites: the median cost of monitoring the CD4+ cell count ranged from US$ 18 per participant per year in Honduras to US$ 154 in Mexico and the median cost of monitoring the viral load ranged from US$ 41 per participant per year in Brazil to US$ 310 in Mexico. There was no significant correlation between the frequency and cost of CD4+ cell counts (rank correlation: −0.18, P = 0.71) or the frequency and cost of viral load measurements (rank correlation: −0.29, P = 0.56).
Table 3

Antiretroviral treatment monitoring in seven countries in the WHO Region of the Americas, 2000–2011

Monitoring testSite of adult HIV clinica
Argentina (n = 1285)Brazil (n = 2446)Chile (n = 1080)Haiti (n = 5696)Honduras (n = 789)Mexico (n = 772)Peru (n = 2408)Total (n = 14 476)
CD4+ cell count
No. of measurements per year, median (IQR)2.6 (1.9–3.2)2.1 (1.5–2.6)1.7 (1.4–2.0)1.0 (0.7–1.3)1.3 (0.9–1.6)2.6 (2.2–3.1)1.8(1.4–2.1)1.5(0.9–2.1)
Cost per year in US$,b median (IQR)19(14–24)36(26–45)112(87–130)33(24–44)18(13–22)154(132–183)68(55–78)38(24–63)
HIV viral loadc
No. of measurements per year, median (IQR)2.6(1.9–3.3)2.0(1.4–2.5)1.8(1.4–2.0)NA0.9(0.6–1.3)2.6(2.2–3.1)1.9(1.5–2.1)1.9(1.4–2.5)
Cost per year in US$,b median (IQR)145(106−180)41(29–51)210(169–240)NA138(91–207)310(265–369)162(133–184)140(52–194)

CD4+ cell: CD4+ T lymphocyte; HIV: human immunodeficiency virus; IQR: interquartile range; NA: not applicable; US$: United States dollar; WHO: World Health Organization.

a Sites participating in the study are listed in Box 1.

b Costs were converted into United States dollars using exchange rates for 9 July 2014. Exchange rates were obtained from the Wall Street Journal for Argentina, Brazil, Chile, Mexico and Peru15 and from local central banks for Haiti16 and Honduras.17

c Viral load was assessed by measuring the plasma HIV-RNA level.

CD4+ cell: CD4+ T lymphocyte; HIV: human immunodeficiency virus; IQR: interquartile range; NA: not applicable; US$: United States dollar; WHO: World Health Organization. a Sites participating in the study are listed in Box 1. b Costs were converted into United States dollars using exchange rates for 9 July 2014. Exchange rates were obtained from the Wall Street Journal for Argentina, Brazil, Chile, Mexico and Peru15 and from local central banks for Haiti16 and Honduras.17 c Viral load was assessed by measuring the plasma HIV-RNA level.

Adherence to guidelines

The adequacy of CD4+ cell count and viral load monitoring is shown for each site in Fig. 1. The proportion of periods with adequate monitoring was highest in Mexico (86%) and Argentina (80%) but much lower in Honduras (26%). Across the six sites for which data were available, the proportion of periods with adequate CD4+ cell count and viral load monitoring was 62% (95% confidence interval, CI: 52–73) – the large confidence interval was due to the substantial variation between sites. Fig. 2 shows the proportion of 180-day periods with adequate CD4+ cell count monitoring alone. Overall, the proportions were higher than those observed for CD4+ cell count and viral load monitoring combined and ranged from 86% and 81% in Mexico and Argentina, respectively, to 54% and 48% in Honduras and Haiti, respectively. Across all seven sites, the proportion of periods with adequate CD4+ cell count monitoring alone was 69% (95% CI: 57–82). General trends were similar in sensitivity analyses that included periods of less than 180 days (data available from corresponding author).
Fig. 1

Adequate CD4+ cell count and HIV viral load monitoring in six countries in the WHO Region of the Americas, 2000–2011

Fig. 2

Adequate CD4+ cell count monitoring in seven countries in the WHO Region of the Americas, 2000–2011

Adequate CD4+ cell count and HIV viral load monitoring in six countries in the WHO Region of the Americas, 2000–2011 CD4+ cell: CD4+ T lymphocyte; HIV: human immunodeficiency virus; WHO: World Health Organization. Notes: Monitoring was defined as adequate if at least one CD4+ cell count and one viral load measurement were made in each 180-day follow-up period. Sites participating in the study are listed in Box 1. The site in Haiti did not assess viral load during the study period. Adequate CD4+ cell count monitoring in seven countries in the WHO Region of the Americas, 2000–2011 CD4+ cell: CD4+ T lymphocyte; HIV: human immunodeficiency virus; WHO: World Health Organization. Notes: Monitoring was defined as adequate if at least one CD4+ cell count measurement was made in each 180-day follow-up period. Sites participating in the study are listed in Box 1. Factors associated with adequate CD4+ cell count and viral load monitoring at each site and across all sites combined were identified. At all sites, adequate CD4+ cell count and viral load monitoring was more likely in older participants (Fig. 3) and in those who started ART more recently (Fig. 4). Patients with a CD4+ cell count less than 200 cells/µL at ART initiation were more likely to have adequate monitoring than those with a count more than 350 cells/µL (Fig. 5). Participants whose first ART regimen contained a non-nucleoside reverse transcriptase inhibitor were also more likely to have adequate monitoring than those treated with other regimens (Fig. 6). Neither sex, a CD4+ cell count in the range 200 to 350 cells/µL nor prior AIDS-defining events influenced the likelihood of adequate CD4+ cell count and viral load monitoring.
Fig. 3

Adequate CD4+ cell count and HIV viral load monitoring in six countries in the WHO Region of the Americas, 2000–2011: rate ratio for a 10-year increase in age

Fig. 4

Adequate CD4+ cell count and HIV viral load monitoring in six countries in the WHO Region of the Americas, 2000–2011: rate ratio for a 1-year reduction in time since ART initiation

Fig. 5

Adequate CD4+ cell count and HIV viral load monitoring in six countries in the WHO Region of the Americas, 2000–2011:rate ratio for CD4+ T-cell count at ART initiation >350 cells/ µL versus <200 cells/µL

Fig. 6

Adequate CD4+ cell count and HIV viral load monitoring in six countries in the WHO Region of the Americas, 2000–2011: rate ratio for nucleoside reverse transcriptase inhibitor regimen versus NNRTI regimen

Adequate CD4+ cell count and HIV viral load monitoring in six countries in the WHO Region of the Americas, 2000–2011: rate ratio for a 10-year increase in age CD4+ cell: CD4+ T lymphocyte; CI: confidence interval; HIV: human immunodeficiency virus; RR: rate ratio; WHO: World Health Organization. Notes: Monitoring was defined as adequate if at least one CD4+ cell count and one viral load measurement were made in each 180-day follow-up period. Points to the right of the vertical line indicate that older participants are more likely to be adequately monitored. Sites participating in the study are listed in Box 1. The site in Haiti did not assess viral load during the study period. Adequate CD4+ cell count and HIV viral load monitoring in six countries in the WHO Region of the Americas, 2000–2011: rate ratio for a 1-year reduction in time since ART initiation ART: antiretroviral therapy; CD4+ cell: CD4+ T lymphocyte; CI: confidence interval; HIV: human immunodeficiency virus; RR: rate ratio; WHO: World Health Organization. Notes: Monitoring was defined as adequate if at least one CD4+ cell count and one viral load measurement were made in each 180-day follow-up period. Points to the right of the vertical line indicate that participants who started ART more recently are more likely to be adequately monitored. RR per calendar year increase in the date of ART initiation. Sites participating in the study are listed in Box 1. The site in Haiti did not assess viral load during the study period. Adequate CD4+ cell count and HIV viral load monitoring in six countries in the WHO Region of the Americas, 2000–2011:rate ratio for CD4+ T-cell count at ART initiation >350 cells/ µL versus <200 cells/µL ART: antiretroviral therapy; CD4+ cell: CD4+ T lymphocyte; CI: confidence interval; HIV: human immunodeficiency virus; RR: rate ratio; WHO: World Health Organization. Notes: Monitoring was defined as adequate if at least one CD4+ cell count and one viral load measurement were made in each 180-day follow-up period. Points to the left of the vertical line indicate that participants with higher cell count at ART initiation are less likely to be adequately monitored. Sites participating in the study are listed in Box 1. The site in Haiti did not assess viral load during the study period. Adequate CD4+ cell count and HIV viral load monitoring in six countries in the WHO Region of the Americas, 2000–2011: rate ratio for nucleoside reverse transcriptase inhibitor regimen versus NNRTI regimen ART: antiretroviral therapy; CD4+ cell: CD4+ T lymphocyte; CI: confidence interval; HIV: human immunodeficiency virus; NNRTI: non-nucleoside reverse transcriptase inhibitor; RR: rate ratio; WHO: World Health Organization. Notes: Monitoring was defined as adequate if at least one CD4+ cell count and one viral load measurement were made in each 180-day follow-up period. Points to the left of the vertical line indicate that participants who were on a NNRTI regimen were less likely to be inadequately monitored. Sites participating in the study are listed in Box 1. The site in Haiti did not assess viral load during the study period. Factors associated with adequate CD4+ cell count monitoring alone were also identified. Again, adequate monitoring was more likely in older participants (Fig. 7) and in those whose first ART regimen contained a non-nucleoside reverse transcriptase inhibitor (Fig. 8). Sensitivity analyses that included periods shorter than 180 days yielded similar results (details available from the corresponding author). Neither sex, prior AIDS-defining events, nor the year of ART initiation influenced the likelihood of adequate CD4+ cell count monitoring, though there was some indication that a CD4+ cell count less than 200 cells/µL at ART initiation may have had an effect.
Fig. 7

Adequate CD4+ cell count monitoring in seven countries in the WHO Region of the Americas, 2000–2011: rate ratio for a 10-year increase in age

Fig. 8

Adequate CD4+ cell count monitoring in seven countries in the WHO Region of the Americas, 2000–2011

Adequate CD4+ cell count monitoring in seven countries in the WHO Region of the Americas, 2000–2011: rate ratio for a 10-year increase in age CD4+ cell: CD4+ T lymphocyte; CI: confidence interval; HIV: human immunodeficiency virus; RR: rate ratio; WHO: World Health Organization. Notes: Monitoring was defined as adequate if at least one CD4+ cell count measurement was made in each 180-day follow-up period. Points to the right of the vertical line indicate that older participants are more likely to be adequately monitored. Sites participating in the study are listed in Box 1. Adequate CD4+ cell count monitoring in seven countries in the WHO Region of the Americas, 2000–2011 ART: antiretroviral therapy; CD4+ cell: CD4+ T lymphocyte; CI: confidence interval; HIV: human immunodeficiency virus; NNRTI: non-nucleoside reverse transcriptase inhibitor; RR: rate ratio; WHO: World Health Organization. Notes: Monitoring was defined as adequate if at least one CD4+ cell count measurement was made in each 180-day follow-up period. Points to the left of the vertical line indicate that participants who were on a NNRTI regimen were less likely to be inadequately monitored. Sites participating in the study are listed in Box 1.

Discussion

We found that HIV-infected people starting ART at seven sites in the region were monitored less frequently than recommended by regional and national clinical guidelines. On average, CD4+ cell count and viral load monitoring were done at least once every six months for only 62% of the time participants were in care, although the proportion varied greatly across sites. The equivalent proportion for CD4+ cell count monitoring alone was 69%. Adequate monitoring of both parameters was associated with older age at ART initiation, receiving ART in more recent years, starting ART when the CD4+ cell count was less than 200 cells/µL and a first ART regimen that included a non-nucleoside reverse transcriptase inhibitor. The annual cost of CD4+ cell count and viral load monitoring per participant varied greatly between countries. For instance, the annual cost of CD4+ cell count monitoring per participant in Mexico was around four times the median cost in the region and almost nine times the cost in Honduras. Although we are not aware of previous studies of the cost of monitoring ART efficacy in the region, the Pan American Health Organization (PAHO) recently noted that the annual cost of ART medications per participant in the most expensive countries was approximately 10 times that in the lowest-cost countries.18 These differences have been attributed to the varying use of generic drugs and to the ART procurement mechanism preferred by each country.18,19 The implications of the variability in monitoring costs across the region we observed are difficult to discern. For instance, although it appears that the cost of CD4+ cell count and viral load monitoring at individual sites was not related to the frequency of monitoring or to adherence to guideline recommendations, we were not able to assess how cost differences affected participant care, such as the ability to detect treatment failure. Furthermore, it would be difficult to use our results to identify a single initiative that could reduce costs across the region because each centre itself negotiates costs and budgets with local laboratories and with different sponsors. For the large centres in Argentina, Brazil, Chile and Peru, it may be possible to reduce costs by exploiting the large demand to leverage services. However, this strategy may not work for centres in Haiti, Honduras or Mexico, where government and international funding agencies, or the local infrastructure, may restrict their ability to negotiate costs locally. The frequency of CD4+ cell count and viral load monitoring we observed in HIV-infected persons receiving ART was very similar to that reported in the region by PAHO.20 It is possible to divide our sites into two groups: those where participants were followed up in accordance with clinical guidelines most of the time (i.e. Argentina, Brazil, Chile, Mexico and Peru) and those where participants were followed up in accordance with guidelines less than half the time (i.e. Haiti and Honduras). It is noteworthy that the proportion of periods when CD4+ cell count and viral load monitoring was adequate was very similar to the proportion when CD4+ cell count monitoring alone was adequate at all sites except Haiti, which did not measure viral load, and Honduras, where in practice laboratory monitoring of the efficacy of ART was based more on CD4+ cell counts alone, than on both CD4+ cell count and viral load monitoring. The low level of adherence to clinical guidelines we observed was probably due to a combination of factors related to the participants, physicians and other health-care providers and, more generally, to structural and programmatic characteristics. At the individual level, our findings agree with those of previous studies in identifying older age as an important factor associated with adherence to ART,21 adequate CD4+ cell count monitoring, retention on treatment and fewer missed clinic visits.22,23 We found that a CD4+ cell count less than 200 cells/µL at ART initiation was associated with adequate CD4+ cell count monitoring overall, but not at most individual sites. We hypothesize that clinicians’ perception that profound immunosuppression is associated with an increased risk of complications may have led to more frequent monitoring. Although we were not able to evaluate structural and programmatic characteristics in detail, we observed several factors that could explain some of the differences in monitoring between sites. For example, the Global Fund to Fight AIDS, Tuberculosis and Malaria did not cover the cost of viral load measurements in Haiti and, consequently, this test was little used. Haiti and Honduras have generalized HIV epidemics, whereas in the rest of the region HIV infection is concentrated among men who have sex with men and injection-drug users.24 There were also clear differences in national income, development indices and health expenditure per capita25 between Haiti and Honduras and the other countries we studied.25,26 Although the maturity of universal ART access programmes could have influenced adherence to clinical guidelines, most countries in the region, including Haiti and Honduras, expanded their programmes between 2002 and 2003 and quickly ensured that most people in need of ART received treatment. Finally, the site in Haiti has been actively involved in emergency responses to the earthquake in 2010 and to the ensuing cholera epidemic in 2012,27 which may have diverted resources from HIV-related health care. It is possible that viral load monitoring in Haiti could be increased if the Global Fund updated its policy on funding monitoring or PAHO changed its recommendations on monitoring. However, detailed research on differences in treatment programmes across a larger number of centres is needed to clearly identify policies that could improve adherence to clinical guidelines and reduce costs. Our study has several limitations. First, we used a conservative definition of adequate CD4+ cell count and viral load monitoring – six months is currently the maximum time interval recommended by the guidelines used at all sites and most countries in the region recommend measurements every three to four months.5–10 Thus, we may have overestimated adherence to recommendations. Since we were not able to identify reasons for poor adherence or for the wide range in monitoring costs, it is difficult to propose interventions that would improve adherence or decrease costs. Another limitation is that it is not clear whether poor adherence to laboratory monitoring guidelines was associated with worse outcomes in HIV-infected people in the region. Certainly, virological failure will be detected less often if fewer viral load measurements are done and this may lead to poorer clinical outcomes. Earlier research at our study sites found that mortality was generally higher in Haiti and Honduras,28 where monitoring was less frequent, but the high mortality was probably due to several factors and not to monitoring practices alone. Previous studies in Africa and mathematical modelling suggest that carrying out laboratory monitoring less frequently than recommended may have negative consequences for the health of people on ART and that measuring the viral load two or three times a year may be more cost-effective and reduce HIV transmission.29,30 However, the clinical and cost benefits of measuring both the CD4+ cell count and viral load as frequently as currently recommended are still debated.31–35 A randomized trial may be required to resolve the issue. In conclusion, adherence to recommended CD4+ cell count and viral load monitoring frequencies was generally poor in the region, with large variations between sites. Laboratory costs were also highly variable. Further research is needed to identify the underlying cause of differences in the frequency and cost of monitoring across the region and studies should be carried out to evaluate the impact of less frequent laboratory monitoring on health outcomes in HIV-infected persons receiving ART. We hope our study findings will be helpful for developing and implementing HIV treatment guidelines.
  15 in total

1.  Viral load monitoring of antiretroviral therapy, cohort viral load and HIV transmission in Southern Africa: a mathematical modelling analysis.

Authors:  Janne Estill; Cindy Aubrière; Matthias Egger; Leigh Johnson; Robin Wood; Daniela Garone; Thomas Gsponer; Gilles Wandeler; Andrew Boulle; Mary-Ann Davies; Timothy B Hallett; Olivia Keiser
Journal:  AIDS       Date:  2012-07-17       Impact factor: 4.177

2.  Stop routine CD4 monitoring in HIV-infected patients with fully suppressed virus and CD4 >=350 cells/ml.

Authors:  G G Whitlock; N Ahmed; P Benn; S Edwards; L Waters
Journal:  Clin Infect Dis       Date:  2013-03-28       Impact factor: 9.079

3.  The association of clinical follow-up intervals in HIV-infected persons with viral suppression on subsequent viral suppression.

Authors:  April Buscher; Michael Mugavero; Andrew O Westfall; Jeanne Keruly; Richard Moore; Mari-Lynn Drainoni; Meg Sullivan; Tracey E Wilson; Allan Rodriguez; Lisa Metsch; Lytt Gardner; Gary Marks; Faye Malitz; Thomas P Giordano
Journal:  AIDS Patient Care STDS       Date:  2013-07-26       Impact factor: 5.078

4.  Prognosis of patients treated with cART from 36 months after initiation, according to current and previous CD4 cell count and plasma HIV-1 RNA measurements.

Authors:  Emilie Lanoy; Margaret May; Amanda Mocroft; Andrew Phillip; Amy Justice; Geneviève Chêne; Hansjakob Furrer; Timothy Sterling; Antonella D'Arminio Monforte; Lluís Force; John Gill; Ross Harris; Robert S Hogg; Jürgen Rockstroh; Mike Saag; Pavel Khaykin; Frank de Wolf; Jonathan A C Sterne; Dominique Costagliola
Journal:  AIDS       Date:  2009-10-23       Impact factor: 4.177

5.  Predictors of Nonadherence to Antiretroviral Therapy among HIV-Infected Adults in Dar es Salaam, Tanzania.

Authors:  Aisa N Muya; Pascal Geldsetzer; Ellen Hertzmark; Amara E Ezeamama; Hawa Kawawa; Claudia Hawkins; David Sando; Guerino Chalamilla; Wafaie Fawzi; Donna Spiegelman
Journal:  J Int Assoc Provid AIDS Care       Date:  2014-06-25

6.  Missed office visits and risk of mortality among HIV-infected subjects in a large healthcare system in the United States.

Authors:  Michael A Horberg; Leo B Hurley; Michael J Silverberg; Daniel B Klein; Charles P Quesenberry; Michael J Mugavero
Journal:  AIDS Patient Care STDS       Date:  2013-07-19       Impact factor: 5.078

7.  Adoption of national recommendations related to use of antiretroviral therapy before and shortly following the launch of the 2013 WHO consolidated guidelines.

Authors:  Lisa J Nelson; Michael Beusenberg; Vincent Habiyambere; Nathan Shaffer; Marco A Vitoria; Raul Gonzalez Montero; Philippa J Easterbrook; Meg C Doherty
Journal:  AIDS       Date:  2014-03       Impact factor: 4.177

8.  Utility of routine viral load, CD4 cell count, and clinical monitoring among adults with HIV receiving antiretroviral therapy in Uganda: randomised trial.

Authors:  Jonathan Mermin; John P Ekwaru; Willy Were; Richard Degerman; Rebecca Bunnell; Frank Kaharuza; Robert Downing; Alex Coutinho; Peter Solberg; Lorraine N Alexander; Jordan Tappero; James Campbell; David M Moore
Journal:  BMJ       Date:  2011-11-09

9.  Not all are lost: interrupted laboratory monitoring, early death, and loss to follow-up (LTFU) in a large South African treatment program.

Authors:  Aima A Ahonkhai; Farzad Noubary; Alison Munro; Ruth Stark; Marisa Wilke; Kenneth A Freedberg; Robin Wood; Elena Losina
Journal:  PLoS One       Date:  2012-03-12       Impact factor: 3.240

10.  Cholera vaccination in urban Haiti.

Authors:  Vanessa Rouzier; Karine Severe; Marc Antoine Jean Juste; Mireille Peck; Christian Perodin; Patrice Severe; Marie Marcelle Deschamps; Rose Irene Verdier; Sabine Prince; Jeannot Francois; Jean Ronald Cadet; Florence D Guillaume; Peter F Wright; Jean W Pape
Journal:  Am J Trop Med Hyg       Date:  2013-10       Impact factor: 2.345

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  10 in total

1.  Trends in proportion of older HIV-infected people in care in Latin America and the Caribbean: a growing challenge.

Authors:  Y Caro-Vega; P F Belaunzarán-Zamudio; B Crabtree-Ramírez; B E Shepherd; F Mejia; M J Giganti; P Patterson; B Grinsztejn; M Wolff; J W Pape; D Padgett; J L Castilho; C McGowan; J G Sierra-Madero
Journal:  Epidemiol Infect       Date:  2018-05-30       Impact factor: 2.451

2.  Immediate treatment of acute HIV in a tertiary healthcare center: bridging gaps in communication using smartphones.

Authors:  S Perez-Patrigeon; A Camiro-Zúñiga; M R Jaramillo-Jante; P F Belaunzarán-Zamudio; B Crabtree-Ramírez; L E Soto-Ramírez; J J Calva; C Hernández-León; J L Mosqueda-Gómez; S Navarro-Alvarez; J G Sierra-Madero
Journal:  HIV Med       Date:  2019-03-29       Impact factor: 3.180

3.  Estimated life expectancy gains with antiretroviral therapy among adults with HIV in Latin America and the Caribbean: a multisite retrospective cohort study.

Authors:  Casey L Smiley; Peter F Rebeiro; Carina Cesar; Pablo F Belaunzaran-Zamudio; Brenda Crabtree-Ramirez; Denis Padgett; Eduardo Gotuzzo; Claudia P Cortes; Jean Pape; Valdiléa G Veloso; Catherine C McGowan; Jessica L Castilho
Journal:  Lancet HIV       Date:  2021-04-20       Impact factor: 12.767

4.  Shifting the HIV Training and Research Paradigm to Address Disparities in HIV Outcomes.

Authors:  Julie H Levison; Margarita Alegría
Journal:  AIDS Behav       Date:  2016-09

5.  Adherence to antiretroviral therapy for HIV/AIDS in Latin America and the Caribbean: Systematic review and meta-analysis.

Authors:  Jessica de Mattos Costa; Thiago Silva Torres; Lara Esteves Coelho; Paula Mendes Luz
Journal:  J Int AIDS Soc       Date:  2018-01       Impact factor: 5.396

Review 6.  The HIV epidemic in Latin America: accomplishments and challenges on treatment and prevention.

Authors:  Paula M Luz; Valdilea G Veloso; Beatriz Grinsztejn
Journal:  Curr Opin HIV AIDS       Date:  2019-09       Impact factor: 4.283

7.  Frequency of non-communicable diseases in people 50 years of age and older receiving HIV care in Latin America.

Authors:  Pablo F Belaunzaran-Zamudio; Yanink Caro-Vega; Mark J Giganti; Jessica L Castilho; Brenda E Crabtree-Ramirez; Bryan E Shepherd; Fernando Mejía; Carina Cesar; Rodrigo C Moreira; Marcelo Wolff; Jean W Pape; Denis Padgett; Catherine C McGowan; Juan G Sierra-Madero
Journal:  PLoS One       Date:  2020-06-17       Impact factor: 3.240

8.  Is substance use associated with HIV cascade outcomes in Latin America?

Authors:  Raquel B De Boni; Meridith B Peratikos; Bryan E Shepherd; Beatriz Grinsztejn; Claudia Cortés; Denis Padgett; Eduardo Gotuzzo; Pablo F Belaunzarán-Zamudio; Peter F Rebeiro; Stephany N Duda; Catherine C McGowan
Journal:  PLoS One       Date:  2018-03-15       Impact factor: 3.240

9.  Economic evaluation of weekends-off antiretroviral therapy for young people in 11 countries.

Authors:  Luis Enrique Tierrablanca; Jessica Ochalek; Deborah Ford; Ab Babiker; Diana Gibb; Karina Butler; Anna Turkova; Susan Griffin; Paul Revill
Journal:  Medicine (Baltimore)       Date:  2018-02       Impact factor: 1.889

Review 10.  The HIV epidemic in Latin America: a time to reflect on the history of success and the challenges ahead.

Authors:  Brenda Crabtree-Ramírez; Pablo F Belaunzarán-Zamudio; Claudia P Cortes; Miguel Morales; Omar Sued; Juan Sierra-Madero; Pedro Cahn; Anton Pozniak; Beatriz Grinsztejn
Journal:  J Int AIDS Soc       Date:  2020-03       Impact factor: 5.396

  10 in total

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