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Published in: Journal of the International AIDS Society 1/2011

Open Access 01-12-2011 | Research

Alternative antiretroviral monitoring strategies for HIV-infected patients in east Africa: opportunities to save more lives?

Authors: R Scott Braithwaite, Kimberly A Nucifora, Constantin T Yiannoutsos, Beverly Musick, Sylvester Kimaiyo, Lameck Diero, Melanie C Bacon, Kara Wools-Kaloustian

Published in: Journal of the International AIDS Society | Issue 1/2011

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Abstract

Background

Updated World Health Organization guidelines have amplified debate about how resource constraints should impact monitoring strategies for HIV-infected persons on combination antiretroviral therapy (cART). We estimated the incremental benefit and cost effectiveness of alternative monitoring strategies for east Africans with known HIV infection.

Methods

Using a validated HIV computer simulation based on resource-limited data (USAID and AMPATH) and circumstances (east Africa), we compared alternative monitoring strategies for HIV-infected persons newly started on cART. We evaluated clinical, immunologic and virologic monitoring strategies, including combinations and conditional logic (e.g., only perform virologic testing if immunologic testing is positive). We calculated incremental cost-effectiveness ratios (ICER) in units of cost per quality-adjusted life year (QALY), using a societal perspective and a lifetime horizon. Costs were measured in 2008 US dollars, and costs and benefits were discounted at 3%. We compared the ICER of monitoring strategies with those of other resource-constrained decisions, in particular earlier cART initiation (at CD4 counts of 350 cells/mm3 rather than 200 cells/mm3).

Results

Monitoring strategies employing routine CD4 testing without virologic testing never maximized health benefits, regardless of budget or societal willingness to pay for additional health benefits. Monitoring strategies employing virologic testing conditional upon particular CD4 results delivered the most benefit at willingness-to-pay levels similar to the cost of earlier cART initiation (approximately $2600/QALY). Monitoring strategies employing routine virologic testing alone only maximized health benefits at willingness-to-pay levels (> $4400/QALY) that greatly exceeded the ICER of earlier cART initiation.

Conclusions

CD4 testing alone never maximized health benefits regardless of resource limitations. Programmes routinely performing virologic testing but deferring cART initiation may increase health benefits by reallocating monitoring resources towards earlier cART initiation.
Appendix
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Literature
1.
go back to reference Calmy A, Ford N, Hirschel B, Reynolds SJ, Lynen L, Goemaere E, Garcia de la Vega F, Perrin L, Rodriguez W: HIV viral load monitoring in resource-limited regions: optional or necessary? Clin Infect Dis 2007, 44:128–134.PubMedCrossRef Calmy A, Ford N, Hirschel B, Reynolds SJ, Lynen L, Goemaere E, Garcia de la Vega F, Perrin L, Rodriguez W: HIV viral load monitoring in resource-limited regions: optional or necessary? Clin Infect Dis 2007, 44:128–134.PubMedCrossRef
2.
go back to reference Elliott JH, Lynen L, Calmy A, De Luca A, Shafer RW, Zolfo M, Clotet B, Huffam S, Boucher CA, Cooper DA, Schapiro JM: Rational use of antiretroviral therapy in low-income and middle-income countries: optimizing regimen sequencing and switching. AIDS 2008, 22:2053–2067.PubMedCrossRef Elliott JH, Lynen L, Calmy A, De Luca A, Shafer RW, Zolfo M, Clotet B, Huffam S, Boucher CA, Cooper DA, Schapiro JM: Rational use of antiretroviral therapy in low-income and middle-income countries: optimizing regimen sequencing and switching. AIDS 2008, 22:2053–2067.PubMedCrossRef
3.
go back to reference Fowler MG, Owor M: Monitoring HIV treatment in resource-limited settings: reassuring news on the usefulness of CD4(+) cell counts. J Infect Dis 2009, 199:1255–1257.PubMedCrossRef Fowler MG, Owor M: Monitoring HIV treatment in resource-limited settings: reassuring news on the usefulness of CD4(+) cell counts. J Infect Dis 2009, 199:1255–1257.PubMedCrossRef
4.
go back to reference Johannessen A, Garrido C, Zahonero N, Sandvik L, Naman E, Kivuyo SL, Kasubi MJ, Gundersen SG, Bruun JN, de Mendoza C: Dried blood spots perform well in viral load monitoring of patients who receive antiretroviral treatment in rural Tanzania. Clin Infect Dis 2009, 49:976–981.PubMedCrossRef Johannessen A, Garrido C, Zahonero N, Sandvik L, Naman E, Kivuyo SL, Kasubi MJ, Gundersen SG, Bruun JN, de Mendoza C: Dried blood spots perform well in viral load monitoring of patients who receive antiretroviral treatment in rural Tanzania. Clin Infect Dis 2009, 49:976–981.PubMedCrossRef
5.
go back to reference Phillips AN, Pillay D, Miners AH, Bennett DE, Gilks CF, Lundgren JD: Outcomes from monitoring of patients on antiretroviral therapy in resource-limited settings with viral load, CD4 cell count, or clinical observation alone: a computer simulation model. Lancet 2008, 371:1443–1451.PubMedCrossRef Phillips AN, Pillay D, Miners AH, Bennett DE, Gilks CF, Lundgren JD: Outcomes from monitoring of patients on antiretroviral therapy in resource-limited settings with viral load, CD4 cell count, or clinical observation alone: a computer simulation model. Lancet 2008, 371:1443–1451.PubMedCrossRef
6.
8.
go back to reference ART-LINC of IeDEA Study Group, Keiser O, Tweya H, Boulle A, Braitstein P, Schecter M, Brinkhof MW, Dabis F, Tuboi S, Sprinz E, Pujades-Rodriguez M, Calmy A, Kumarasamy N, Nash D, Jahn A, MacPhail P, Luthy R, Wood R, Egger M: Switching to second-line antiretroviral therapy in resource-limited settings: comparison of programmes with and without viral load monitoring. AIDS 2009, 23:1867–1874.PubMedCrossRef ART-LINC of IeDEA Study Group, Keiser O, Tweya H, Boulle A, Braitstein P, Schecter M, Brinkhof MW, Dabis F, Tuboi S, Sprinz E, Pujades-Rodriguez M, Calmy A, Kumarasamy N, Nash D, Jahn A, MacPhail P, Luthy R, Wood R, Egger M: Switching to second-line antiretroviral therapy in resource-limited settings: comparison of programmes with and without viral load monitoring. AIDS 2009, 23:1867–1874.PubMedCrossRef
9.
go back to reference DART Trial Team, Mugyenyi P, Walker AS, Hakim J, Munderi P, Gibb DM, Kityo C, Reid A, Grosskurth H, Darbyshire JH, Ssali F, Bray D, Katabira E, Babiker AG, Gilks CF, Grosskurth H, Munderi P, Kabuye G, Nsibambi D, Kasirye R, Zalwango E, Nakazibwe M, Kikaire B, Nassuna G, Massa R, et al.: Routine versus clinically driven laboratory monitoring of HIV antiretroviral therapy in Africa (DART): a randomised non-inferiority trial. Lancet 2010, 375:123–131.PubMedCrossRef DART Trial Team, Mugyenyi P, Walker AS, Hakim J, Munderi P, Gibb DM, Kityo C, Reid A, Grosskurth H, Darbyshire JH, Ssali F, Bray D, Katabira E, Babiker AG, Gilks CF, Grosskurth H, Munderi P, Kabuye G, Nsibambi D, Kasirye R, Zalwango E, Nakazibwe M, Kikaire B, Nassuna G, Massa R, et al.: Routine versus clinically driven laboratory monitoring of HIV antiretroviral therapy in Africa (DART): a randomised non-inferiority trial. Lancet 2010, 375:123–131.PubMedCrossRef
10.
go back to reference Goldie SJ, Yazdanpanah Y, Losina E, Weinstein MC, Anglaret X, Walensky RP, Hsu HE, Kimmel A, Holmes C, Kaplan JE, Freedberg KA: Cost-effectiveness of HIV treatment in resource-poor settings--the case of Cote d'Ivoire. N Engl J Med 2006, 355:1141–1153.PubMedCrossRef Goldie SJ, Yazdanpanah Y, Losina E, Weinstein MC, Anglaret X, Walensky RP, Hsu HE, Kimmel A, Holmes C, Kaplan JE, Freedberg KA: Cost-effectiveness of HIV treatment in resource-poor settings--the case of Cote d'Ivoire. N Engl J Med 2006, 355:1141–1153.PubMedCrossRef
11.
go back to reference Bishai D, Colchero A, Durack DT: The cost effectiveness of antiretroviral treatment strategies in resource-limited settings. AIDS 2007, 21:1333–1340.PubMedCrossRef Bishai D, Colchero A, Durack DT: The cost effectiveness of antiretroviral treatment strategies in resource-limited settings. AIDS 2007, 21:1333–1340.PubMedCrossRef
12.
go back to reference Braithwaite RS, Justice AC, Chang CC, Fusco JS, Raffanti SR, Wong JB, Roberts MS: Estimating the proportion of patients infected with HIV who will die of comorbid diseases. Am J Med 2005, 118:890–898.PubMedCrossRef Braithwaite RS, Justice AC, Chang CC, Fusco JS, Raffanti SR, Wong JB, Roberts MS: Estimating the proportion of patients infected with HIV who will die of comorbid diseases. Am J Med 2005, 118:890–898.PubMedCrossRef
13.
go back to reference Braithwaite RS, Roberts MS, Chang CC, Goetz MB, Gibert CL, Rodriguez-Barradas MC, Shechter S, Schaefer A, Nucifora K, Koppenhaver R, Justice AC: Influence of alternative thresholds for initiating HIV treatment on quality-adjusted life expectancy: a decision model. Ann Intern Med 2008, 148:178–185.PubMed Braithwaite RS, Roberts MS, Chang CC, Goetz MB, Gibert CL, Rodriguez-Barradas MC, Shechter S, Schaefer A, Nucifora K, Koppenhaver R, Justice AC: Influence of alternative thresholds for initiating HIV treatment on quality-adjusted life expectancy: a decision model. Ann Intern Med 2008, 148:178–185.PubMed
14.
go back to reference Braithwaite RS, Shechter S, Chang CC, Schaefer A, Roberts MS: Estimating the rate of accumulating drug resistance mutations in the HIV genome. Value Health 2007, 10:204–213.PubMedCrossRef Braithwaite RS, Shechter S, Chang CC, Schaefer A, Roberts MS: Estimating the rate of accumulating drug resistance mutations in the HIV genome. Value Health 2007, 10:204–213.PubMedCrossRef
15.
go back to reference Braithwaite RS, Shechter S, Roberts MS, Schaefer A, Bangsberg DR, Harrigan PR, Justice AC: Explaining variability in the relationship between antiretroviral adherence and HIV mutation accumulation. J Antimicrob Chemother 2006, 58:1036–1043.PubMedCrossRef Braithwaite RS, Shechter S, Roberts MS, Schaefer A, Bangsberg DR, Harrigan PR, Justice AC: Explaining variability in the relationship between antiretroviral adherence and HIV mutation accumulation. J Antimicrob Chemother 2006, 58:1036–1043.PubMedCrossRef
16.
go back to reference Geng EH, Bangsberg DR, Musinguzi N, Emenyonu N, Bwana MB, Yiannoutsos CT, Glidden DV, Deeks SG, Martin JN: Understanding reasons for and outcomes of patients lost to follow-up in antiretroviral therapy programs in Africa through a sampling-based approach. J Acquir Immune Defic Syndr 2010, 53:405–411.PubMedCrossRef Geng EH, Bangsberg DR, Musinguzi N, Emenyonu N, Bwana MB, Yiannoutsos CT, Glidden DV, Deeks SG, Martin JN: Understanding reasons for and outcomes of patients lost to follow-up in antiretroviral therapy programs in Africa through a sampling-based approach. J Acquir Immune Defic Syndr 2010, 53:405–411.PubMedCrossRef
17.
go back to reference Markowitz H: Portfolio Selection. J Finance 1952, 53:405–411. Markowitz H: Portfolio Selection. J Finance 1952, 53:405–411.
18.
go back to reference Gold MR, Seigel JE, Russell LB, Weinstein MC: Cost-Effectiveness in Health and Medicine. New York: Oxford University Press; 1996. Gold MR, Seigel JE, Russell LB, Weinstein MC: Cost-Effectiveness in Health and Medicine. New York: Oxford University Press; 1996.
19.
go back to reference Mee P, Fielding KL, Charalambous S, Churchyard GJ, Grant AD: Evaluation of the WHO criteria for antiretroviral treatment failure among adults in South Africa. AIDS 2008, 22:1971–1977.PubMedCrossRef Mee P, Fielding KL, Charalambous S, Churchyard GJ, Grant AD: Evaluation of the WHO criteria for antiretroviral treatment failure among adults in South Africa. AIDS 2008, 22:1971–1977.PubMedCrossRef
21.
go back to reference Johnson VA, Brun-Vezinet F, Clotet B, Gunthard HF, Kuritzkes DR, Pillay D, Schapiro JM, Richman DD: Update of the drug resistance mutations in HIV-1: December 2009. Top HIV Med 2009, 17:138–145.PubMed Johnson VA, Brun-Vezinet F, Clotet B, Gunthard HF, Kuritzkes DR, Pillay D, Schapiro JM, Richman DD: Update of the drug resistance mutations in HIV-1: December 2009. Top HIV Med 2009, 17:138–145.PubMed
22.
go back to reference Braithwaite RS, Kozal MJ, Chang CC, Roberts MS, Fultz SL, Goetz MB, Gibert C, Rodriguez-Barradas M, Mole L, Justice AC: Adherence, virological and immunological outcomes for HIV-infected veterans starting combination antiretroviral therapies. AIDS 2007, 21:1579–1589.PubMedCrossRef Braithwaite RS, Kozal MJ, Chang CC, Roberts MS, Fultz SL, Goetz MB, Gibert C, Rodriguez-Barradas M, Mole L, Justice AC: Adherence, virological and immunological outcomes for HIV-infected veterans starting combination antiretroviral therapies. AIDS 2007, 21:1579–1589.PubMedCrossRef
23.
go back to reference Braithwaite RS, Goulet J, Kudel I, Tsevat J, Justice AC: Quantifying the decrement in utility from perceived side effects of combination antiretroviral therapies in patients with HIV. Value Health 2008, 11:975–979.PubMedCrossRef Braithwaite RS, Goulet J, Kudel I, Tsevat J, Justice AC: Quantifying the decrement in utility from perceived side effects of combination antiretroviral therapies in patients with HIV. Value Health 2008, 11:975–979.PubMedCrossRef
24.
go back to reference Freedberg KA, Scharfstein JA, Seage GR, Losina E, Weinstein MC, Craven DE, Paltiel AD: The cost-effectiveness of preventing AIDS-related opportunistic infections. JAMA 1998, 279:130–136.PubMedCrossRef Freedberg KA, Scharfstein JA, Seage GR, Losina E, Weinstein MC, Craven DE, Paltiel AD: The cost-effectiveness of preventing AIDS-related opportunistic infections. JAMA 1998, 279:130–136.PubMedCrossRef
25.
go back to reference Red Book. Pharmacy's Fundamental Reference. 113th edition. PDR Network; 2009. Red Book. Pharmacy's Fundamental Reference. 113th edition. PDR Network; 2009.
27.
go back to reference Mills EJ, Nachega JB, Buchan I, Orbinski J, Attaran A, Singh S, et al.: Adherence to antiretroviral therapy in sub-Saharan Africa and North America: a meta-analysis. JAMA 2006, 296:679–690.PubMedCrossRef Mills EJ, Nachega JB, Buchan I, Orbinski J, Attaran A, Singh S, et al.: Adherence to antiretroviral therapy in sub-Saharan Africa and North America: a meta-analysis. JAMA 2006, 296:679–690.PubMedCrossRef
28.
go back to reference Yiannoutsos CT, An MW, Frangakis CE, Musick BS, Braitstein P, Wools-Kaloustian K, et al.: Sampling-based approaches to improve estimation of mortality among patient dropouts: experience from a large PEPFAR-funded program in Western Kenya. PLoS One 2008, 3:e3843.PubMedCrossRef Yiannoutsos CT, An MW, Frangakis CE, Musick BS, Braitstein P, Wools-Kaloustian K, et al.: Sampling-based approaches to improve estimation of mortality among patient dropouts: experience from a large PEPFAR-funded program in Western Kenya. PLoS One 2008, 3:e3843.PubMedCrossRef
29.
go back to reference Justice AC, Dombrowski E, Conigliaro J, Fultz SL, Gibson D, Madenwald T, et al.: Veterans Aging Cohort Study (VACS): Overview and description. Med Care 2006, 44:S13–24.PubMedCrossRef Justice AC, Dombrowski E, Conigliaro J, Fultz SL, Gibson D, Madenwald T, et al.: Veterans Aging Cohort Study (VACS): Overview and description. Med Care 2006, 44:S13–24.PubMedCrossRef
Metadata
Title
Alternative antiretroviral monitoring strategies for HIV-infected patients in east Africa: opportunities to save more lives?
Authors
R Scott Braithwaite
Kimberly A Nucifora
Constantin T Yiannoutsos
Beverly Musick
Sylvester Kimaiyo
Lameck Diero
Melanie C Bacon
Kara Wools-Kaloustian
Publication date
01-12-2011
Publisher
BioMed Central
Published in
Journal of the International AIDS Society / Issue 1/2011
Electronic ISSN: 1758-2652
DOI
https://doi.org/10.1186/1758-2652-14-38

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