Abstract
The delay between first-line antiretroviral therapy (ART) failure and initiation of second-line ART in resource-limited settings can be prolonged. Increasing evidence links delayed antiretroviral switch with increased risk for opportunistic infection (OI) and death, particularly in patients with advanced HIV at the time of first-line failure. As access to viral load (VL) monitoring widens beyond a few countries, mechanisms are needed to optimize the use of routine virologic monitoring and assure that first-line regimen failure results in prompt second-line switch. For patients with advanced HIV or OI at the time of first-line failure, a targeted fast track to second-line ART should be considered, involving a switch to second-line ART during a single visit. To derive the maximum benefit from both the current expansion of VL monitoring and the falling costs of second-line ART, clinics and healthcare workers should be given the tools and training to detect and switch patients with regimen failure before HIV disease progression.
Keywords: : second-line antiretroviral therapy, antiretroviral failure, developing world, sub-Saharan Africa, virologic monitoring, opportunistic infection
Introduction
Although millions in sub-Saharan Africa have initiated antiretroviral therapy (ART), which has resulted in steep declines in HIV-related deaths, the number of patients experiencing first-line ART failure, who have required second-line protease inhibitor-based therapy, is growing.1 In contrast to resource-rich settings, the delay between first-line ART failure and the initiation of second-line ART can be prolonged in resource-limited settings. Delayed second-line switch has now been linked in three sub-Saharan African countries with an increased risk of opportunistic infection (OI) and death.2–4
The Causes and Costs of Late or Missed Second-Line Switch
Several factors contribute to the gap between recognition of treatment failure and second-line ART switch. These factors include clinician concerns about adherence to second-line ART and toxicity of a less familiar drug regimen, laboratory infrastructure limitations, and protocolized requirements in some countries for several repeat patient clinic visits before switch. For example, national treatment guidelines in South Africa recommend a routine 2-month delay for patients with virologic failure before initiation of second-line ART to accommodate adherence support and repeat laboratory confirmation of virologic failure. However, on the ground, switch delays in South Africa are nearly twice that—a median of 3.4 months—with 37% of patients with first-line ART failure in South Africa failing to switch.4
Studies in multiple resource-limited settings have now confirmed an increased risk for OI and mortality associated with delayed or missed second-line switch, even in settings with access to viral load (VL) monitoring, which in principle allows for prompt detection of failure.2–6 (Table 1). The conclusions of these studies are plausible given that many patients receiving first-line ART in resource-limited settings have clinically advanced HIV at the time of initial regimen failure and experience viral rebound in a context wherein the risk of OI such as tuberculosis is high.
Table 1.
Original Research Showing the Impact of Delayed or Absent Second-Line Switch After Initial Antiretroviral Therapy Failure on Subsequent Clinical Outcome
| Publication | Setting, date, and study | Sample size and characteristics | Measures of delayed or absent switch | Measures of outcome | Main unadjusted result (95% CI) | Main adjusted results (95% CI) |
|---|---|---|---|---|---|---|
| Retrospective cohort Keiser et al.6 | Ivory Coast, South Africa, Senegal, Kenya, Uganda, Malawi, Zimbabwe; 2004–2009; 11 clinics | 705 (Median CD4 count at failure 128 cells/μl) who experienced immunologic or virologic failure. | Presence or absence of switch to second-line therapy after virologic failure. | Risk of mortality after immunologic or virologic failure | Unadjusted hazard ratio for mortality was 4.19 (3.43–7.24) in patients on failing first-line therapy who did not switch to second-line therapy.a | Adjusted hazard ratio for mortality was 3.29 (1.85–5.84) in patients on failing first-line therapy who did not switch to second-line therapy.b |
| Retrospective cohort Levison et al.5 | South Africa; 2004–2010 | 202 Patients (median CD4 count at failure 202 cells/μl) with virologic failure. | Time period of delay (months) before second-line switch | Risk of second-line virologic failure | Each month of delay after failure before second-line ART increased risk of second-line virologic failure by 6% (OR 1.06, 1.00–1.12) | Each month of delay after failure before second-line ART increased the risk of second-line virologic failure by 7% (OR 1.07, 1.01–1.14) |
| Retrospective cohort Petersen et al.2 | Uganda and South Africa; 2002–2011; four outpatient cohorts | 823 (Median CD4 count at failure of 220 cells/μl) who experienced virologic failure. | Presence or absence of switch to second-line therapy after virologic failure. | Risk of mortality after virologic failure | Odds of death for those remaining on first-line ART were nonsignificantly higher at 1.5 (OR 0.8–2.6) | Adjusted odds of death for those remaining on first-line ART were significantly higher at 2.1 (OR 1.1–4.2) |
| Retrospective cohort Ramadhani et al.3 | Tanzania; 2004–2014; five hospital-based clinics | 637 (43% with CD4 < 100 cells/μl at failure) who experienced WHO-defined immunological failure. | Timing of switch after immunologic failure:(1) switch <3 months (2) switch ≥3 months (3) not switched | Risk of OI after WHO-defined immunological failure | Among those switched, median time to switch was 5.1 (IQR not provided) months. | Adjusted hazard ratio of OI was greater in patients with delayed switch at 2.2 [1.1–4.3]) than in patients with timely switch |
| Incidence rate of OI in those switched 5.4 per 100 person-years (4.0–7.5) compared with 15.9 per 100 person-years (12.7–19.9) among those not switched. | ||||||
| Retrospective cohort Rohr et al.4 | South Africa; 2004–2013; eight HIV clinics. | 5,895 (Median CD4 cell count at failure not provided) who experienced virologic failure. | Timing of switch after virologic failure: (1) switch at 0–1.5 months, (2) 1.5–3, (3) 3–6, (4) 6–12, (5) > 12, and (6) never switched. | Risk of mortality after virologic failure | Among those switched, median time to switch was 3.4 (1.1–8.7) months. | Adjusted hazard ratio of death was 1.47 (0.94–2.29) in patients with peak CD4 < 100 cells/μl before failure who were delayed 6–12 months and 1.54 (0.99–2.4) for those never switched. |
| No unadjusted analysis presented. |
Comparison group was patients who remained on a nonfailing first-line ART regimen. Unadjusted hazard ratio for patients with failure who did switch was 1.82 (0.93–3.53).
Comparison group was patients who remained on a nonfailing first-line ART regimen. Adjusted hazard ratio for patients with failure who did switch was 1.64 (0.84–3.22).
ART, antiretroviral therapy; CI, confidence interval; IQR, interquartile range; OI, opportunistic infection; OR, odds ratio.
Existing Barriers to Prompt Recognition and Response to Regimen Failure
Access to VL monitoring is likely to increase in sub-Saharan Africa in the next decade owing to developments in the field of diagnostics and a wider recognition of the benefits at the country level. Improving the early detection of ART failure is critical, and expanding the use of VL monitoring beyond the few countries that currently have access to it is key to achieving this. Unfortunately, evidence from South Africa strongly suggests that merely making VL routinely available in clinics is not sufficient.
In South Africa—where virologic monitoring has been in place for more than a decade—there is strong evidence that it is underutilized. Investigators in Johannesburg, seeking to compare public and private sector ART outcomes, found that in the first year after commencing ART, only 45% (2,938/6,528) of public sector patients and 55% (135/245) in the private sector had a VL measured.7 Similarly, in public ART programs in KwaZulu-Natal, the proportion with a VL measured 6 months after initiating ART—a key treatment juncture—was <50%.7 The underutilization of VL monitoring in routine HIV care represents a missed opportunity to identify and address treatment failure both for individual benefit and to limit potential transmission of drug-resistant virus in the community.8 Currently, the barriers to optimize use of VL monitoring in South Africa at the patient and clinic level are significant and include a inadequate knowledge of the role of VL monitoring in high quality care, a lack of “ownership” of VL results in clinics, a poor interface between clinics and laboratories in sample collection and results reporting, and, in some clinics, large patient volumes with insufficient human resources. However, some innovative recent approaches to reducing missed virologic monitoring opportunities in one South African municipality include: (1) identifying a clinician in each clinic to be a VL “champion” tasked with improving compliance with VL monitoring and assuring that those with persistently elevated VL are switched promptly, (2) creating an expectation among patients for yearly VL testing that includes mass media campaigns, and (3) debuting new tools to track compliance with VL monitoring standards and virologic suppression rates at the level of individual clinics to identify sites of excellence as well as outliers requiring more support.
A Targeted Fast Track to Second-Line ART?
Guidelines governing the use of second-line ART in resource-limited settings were developed when switching patients to second-line ART increased yearly per patient treatment cost by up to 17-fold. However, the cost of generic lopinavir/ritonavir 200/50 mg tablets has fallen to <$250/year.9 Despite these remarkable cost improvements, second-line algorithms have not changed in many countries. To improve second-line ART access and reduce consequences from switch delay, a fast track to second-line ART for patients with regimen failure should be strongly considered. A fast track could be targeted at patients more likely to have poor outcomes resulting from delayed or missed switch, such as patients with a CD4 cell count <200 cells/μl or OI at the time of failure while remaining vigilant of potential drug–drug interactions with a ritonavir-boosted regimen. For patients who are fast tracked, adherence support would take place after second-line switch so that such patients could benefit from adherence interventions but without, in the interim, risking disease progression or death.
The visibility of second-line switch delay could be enhanced by incorporating new monitoring indicators to assess whether patients with first-line ART failure are benefitting from second-line switch. An example of such a new indicator “Days to Second-Line Switch” would be defined, among patients with first-line ART failure, as the median days between first-line ART failure and second-line ART initiation. The goal for programs with virologic monitoring based on current evidence would be <90 days, particularly for patients with a CD4 cell count <200 cells/μl. Such an indicator could increase awareness of inadequate second-line ART switching and allow individual clinics or programs to be targeted for interventions to improve second-line access.
Conclusions
The consequences of delayed or missed second-line switch are becoming clear. Fortunately, the cost of second-line ART is no longer out of reach, and older approaches to switch that may have been partly premised on limiting access and delaying movement to second-line ART are no longer tenable. As access to VL monitoring improves, efforts at the implementation of VL monitoring at country level must go hand-in-hand with efforts at the clinic level to assure high VL monitoring rates and at the prescriber level, to assure that patients with virologic failure are transitioned without more than a brief delay to second-line ART. Ready access to expert advice for special situations, including HIV/OI coinfection and drug intolerance, will help reduce switch hesitancy. It is no longer a “badge of honor” for an ART program to have very few patients receiving second-line ART but rather an indication that virologic failure is going undetected and unaddressed. It is time to improve access to second-line ART, prioritizing patients who need it most urgently.
Author Disclosure Statement
No competing financial interests exist.
References
- 1.Estill J, Ford N, Salazar-Vizcaya L, et al. : The need for second-line antiretroviral therapy in adults in sub-Saharan Africa up to 2030: A mathematical modelling study. Lancet HIV 2016;3:e132–e139 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Petersen ML, Tran L, Geng EH, et al. : Delayed switch of antiretroviral therapy after virologic failure associated with elevated mortality among HIV-infected adults in Africa. AIDS 2014;28:2097–2107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ramadhani HO, Bartlett JA, Thielman NM, et al. : The effect of switching to second-line antiretroviral therapy on the risk of opportunistic infections among patients infected with human immunodeficiency virus in Northern Tanzania. Open Forum Infect Dis 2016;3:ofw018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Rohr JK, Ive P, Horsburgh CR, et al. : Marginal structural models to assess delays in second-line HIV treatment initiation in South Africa. PLoS One 2016;11:e0161469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Levison JH, Orrell C, Losina E, Lu Z, Freedberg KA, Wood R: Early outcomes and the virologic impact of delayed treatment switching on second-line therapy in an antiretroviral roll-out program in South Africa. Antivir Ther 2011;16:853–861 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Keiser O, Tweya H, Braitstein P, et al. : Mortality after failure of antiretroviral therapy in sub-Saharan Africa. Trop Med Int Heal 2010;15:251–258 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Moyo F, Chasela C, Brennan AT, et al. : Treatment outcomes of HIV-positive patients on first-line antiretroviral therapy in private versus public HIV clinics in Johannesburg, South Africa. Clin Epidemiol 2016;8:37–47 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Marconi VC, Sunpath H, Lu Z, et al. : Prevalence of HIV-1 drug resistance after failure of a first highly active antiretroviral therapy regimen in KwaZulu Natal, South Africa. Clin Infect Dis 2008;46:1589–1597 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Anonymous: Untangling the web of antiretroviral price reductions. Available at www.msfaccess.org/content/untangling-web-antiretroviral-price-reductions (2016), accessed April1, 2017
