Literature DB >> 19531928

Switching to second-line antiretroviral therapy in resource-limited settings: comparison of programmes with and without viral load monitoring.

Olivia Keiser, Hannock Tweya, Andrew Boulle, Paula Braitstein, Mauro Schecter, Martin W G Brinkhof, François Dabis, Suely Tuboi, Eduardo Sprinz, Mar Pujades-Rodriguez, Alexandra Calmy, Nagalingeswaran Kumarasamy, Denis Nash, Andreas Jahn, Patrick MacPhail, Ruedi Lüthy, Robin Wood, Matthias Egger.   

Abstract

BACKGROUND: In high-income countries, viral load is routinely measured to detect failure of antiretroviral therapy (ART) and guide switching to second-line ART. Viral load monitoring is not generally available in resource-limited settings. We examined switching from nonnucleoside reverse transcriptase inhibitor (NNRTI)-based first-line regimens to protease inhibitor-based regimens in Africa, South America and Asia. DESIGN AND METHODS: Multicohort study of 17 ART programmes. All sites monitored CD4 cell count and had access to second-line ART and 10 sites monitored viral load. We compared times to switching, CD4 cell counts at switching and obtained adjusted hazard ratios for switching (aHRs) with 95% confidence intervals (CIs) from random-effects Weibull models.
RESULTS: A total of 20 113 patients, including 6369 (31.7%) patients from 10 programmes with access to viral load monitoring, were analysed; 576 patients (2.9%) switched. Low CD4 cell counts at ART initiation were associated with switching in all programmes. Median time to switching was 16.3 months [interquartile range (IQR) 10.1-26.6] in programmes with viral load monitoring and 21.8 months (IQR 14.0-21.8) in programmes without viral load monitoring (P < 0.001). Median CD4 cell counts at switching were 161 cells/microl (IQR 77-265) in programmes with viral load monitoring and 102 cells/microl (44-181) in programmes without viral load monitoring (P < 0.001). Switching was more common in programmes with viral load monitoring during months 7-18 after starting ART (aHR 1.38; 95% CI 0.97-1.98), similar during months 19-30 (aHR 0.97; 95% CI 0.58-1.60) and less common during months 31-42 (aHR 0.29; 95% CI 0.11-0.79).
CONCLUSION: In resource-limited settings, switching to second-line regimens tends to occur earlier and at higher CD4 cell counts in ART programmes with viral load monitoring compared with programmes without viral load monitoring. 2009 Wolters Kluwer Health | Lippincott Williams & Wilkins

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Year:  2009        PMID: 19531928      PMCID: PMC2956749          DOI: 10.1097/QAD.0b013e32832e05b2

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  21 in total

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Journal:  Int J Epidemiol       Date:  2005-09-12       Impact factor: 7.196

2.  Can routine clinical markers be used longitudinally to monitor antiretroviral therapy success in resource-limited settings?

Authors:  Shashwatee Bagchi; Mirjam C Kempf; Andrew O Westfall; Anastasiya Maherya; James Willig; Michael S Saag
Journal:  Clin Infect Dis       Date:  2006-11-28       Impact factor: 9.079

3.  Viral load testing in resource-limited settings.

Authors:  Robert T Schooley
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4.  The WHO public-health approach to antiretroviral treatment against HIV in resource-limited settings.

Authors:  Charles F Gilks; Siobhan Crowley; René Ekpini; Sandy Gove; Jos Perriens; Yves Souteyrand; Don Sutherland; Marco Vitoria; Teguest Guerma; Kevin De Cock
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5.  Incidence and predictors of death, retention, and switch to second-line regimens in antiretroviral- treated patients in sub-Saharan African Sites with comprehensive monitoring availability.

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6.  HIV viral load monitoring in resource-limited regions: optional or necessary?

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8.  Changing patterns of mortality across Europe in patients infected with HIV-1. EuroSIDA Study Group.

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10.  Mortality of HIV-1-infected patients in the first year of antiretroviral therapy: comparison between low-income and high-income countries.

Authors:  Paula Braitstein; Martin W G Brinkhof; François Dabis; Mauro Schechter; Andrew Boulle; Paolo Miotti; Robin Wood; Christian Laurent; Eduardo Sprinz; Catherine Seyler; David R Bangsberg; Eric Balestre; Jonathan A C Sterne; Margaret May; Matthias Egger
Journal:  Lancet       Date:  2006-03-11       Impact factor: 79.321

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  87 in total

1.  Viral load versus CD4⁺ monitoring and 5-year outcomes of antiretroviral therapy in HIV-positive children in Southern Africa: a cohort-based modelling study.

Authors:  Luisa Salazar-Vizcaya; Olivia Keiser; Mary-Ann Davies; Andreas D Haas; Nello Blaser; Vivian Cox; Brian Eley; Helena Rabie; Harry Moultrie; Janet Giddy; Robin Wood; Matthias Egger; Janne Estill
Journal:  AIDS       Date:  2014-10-23       Impact factor: 4.177

2.  Theoretical design and analysis of multivolume digital assays with wide dynamic range validated experimentally with microfluidic digital PCR.

Authors:  Jason E Kreutz; Todd Munson; Toan Huynh; Feng Shen; Wenbin Du; Rustem F Ismagilov
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3.  Point-of-care testing.

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Journal:  Curr HIV/AIDS Rep       Date:  2011-03       Impact factor: 5.071

4.  HIV-1 genetic diversity and drug resistance among Senegalese patients in the public health system.

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5.  Development and validation of systems for rational use of viral load testing in adults receiving first-line ART in sub-Saharan Africa.

Authors:  Michael Abouyannis; Joris Menten; Agnes Kiragga; Lutgarde Lynen; Gavin Robertson; Barbara Castelnuovo; Yukari C Manabe; Steven J Reynolds; Lesley Roberts
Journal:  AIDS       Date:  2011-08-24       Impact factor: 4.177

Review 6.  Developments in CD4 and viral load monitoring in resource-limited settings.

Authors:  Christopher F Rowley
Journal:  Clin Infect Dis       Date:  2013-11-11       Impact factor: 9.079

7.  Mortality after failure of antiretroviral therapy in sub-Saharan Africa.

Authors:  Olivia Keiser; Hannock Tweya; Paula Braitstein; François Dabis; Patrick MacPhail; Andrew Boulle; Denis Nash; Robin Wood; Ruedi Lüthi; Martin W G Brinkhof; Mauro Schechter; Matthias Egger
Journal:  Trop Med Int Health       Date:  2009-12-09       Impact factor: 2.622

8.  The value of point-of-care CD4+ and laboratory viral load in tailoring antiretroviral therapy monitoring strategies to resource limitations.

Authors:  Emily P Hyle; Ilesh V Jani; Katherine L Rosettie; Robin Wood; Benjamin Osher; Stephen Resch; Pamela P Pei; Paolo Maggiore; Kenneth A Freedberg; Trevor Peter; Robert A Parker; Rochelle P Walensky
Journal:  AIDS       Date:  2017-09-24       Impact factor: 4.177

9.  Cost-effectiveness of tenofovir instead of zidovudine for use in first-line antiretroviral therapy in settings without virological monitoring.

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10.  Accuracy of WHO CD4 cell count criteria for virological failure of antiretroviral therapy.

Authors:  Olivia Keiser; Patrick MacPhail; Andrew Boulle; Robin Wood; Mauro Schechter; François Dabis; Eduardo Sprinz; Matthias Egger
Journal:  Trop Med Int Health       Date:  2009-07-14       Impact factor: 2.622

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