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Predictors of switch to and early outcomes on third-line antiretroviral therapy at a large public-sector clinic in Johannesburg,South Africa
Authors:Denise Evans  Kamban Hirasen  Rebecca Berhanu  Given Malete  Prudence Ive  David Spencer  Sharlaa Badal-Faesen  Ian M. Sanne  Matthew P. Fox
Affiliation:1.Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences,University of the Witwatersrand,Johannesburg,South Africa;2.Division of Infectious Diseases,University of North Carolina,Chapel Hill,USA;3.Clinical HIV Research Unit, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences,University of the Witwatersrand,Johannesburg,South Africa;4.Right to Care,Johannesburg,South Africa;5.Department of Global Health,Boston University School of Public Health,Boston,USA;6.Department of Epidemiology, School of Public Health,Boston University,Boston,USA
Abstract:

Background

While efficacy data exist, there are limited data on the outcomes of patients on third-line antiretroviral therapy (ART) in sub-Saharan Africa in actual practice. Being able to identify predictors of switch to third-line ART will be essential for planning for future need. We identify predictors of switch to third-line ART among patients with significant viraemia on a protease inhibitor (PI)-based second-line ART regimen. Additionally, we describe characteristics of all patients on third-line at a large public sector HIV clinic and present their early outcomes.

Methods

Retrospective analysis of adults (≥?18 years) on a PI-based second-line ART regimen at Themba Lethu Clinic, Johannesburg, South Africa as of 01 August 2012, when third-line treatment became available in South Africa, with significant viraemia on second-line ART (defined as at least one viral load ≥?1000 copies/mL on second-line ART after 01 August 2012) to identify predictors of switch to third-line (determined by genotype resistance testing). Third-line ART was defined as a regimen containing etravirine, raltegravir or ritonavir boosted darunavir, between August 2012 and January 2016. To assess predictors of switch to third-line ART we used Cox proportional hazards regression among those with significant viraemia on second-line ART after 01 August 2012. Then among all patients on third-line ART we describe viral load suppression, defined as a viral load

Results

Among 719 patients in care and on second-line ART as of August 2012 (with at least one viral load ≥?1000 copies/mL after 01 August 2012), 36 (5.0% over a median time of 54 months) switched to third-line. Time on second-line therapy (≥?96 vs.?

Conclusions

Our results show that the need for third-line is low (5%), but that patients’ who switch to third-line ART have good early treatment outcomes and are able to suppress their viral load. Adherence counselling and resistance testing should be prioritized for patients that are at risk of failure, in particular those who never suppress on second-line and those who have been on PI-based regimen for extended periods.
Keywords:
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