Literature DB >> 28793781

Second-Line Antiretroviral Therapy in Sub-Saharan Africa: It Is Time to Mind the Gaps.

Richard A Murphy1, Richard Court2, Gary Maartens2, Henry Sunpath3.   

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.

Entities:  

Keywords:  antiretroviral failure; developing world; opportunistic infection; second-line antiretroviral therapy; sub-Saharan Africa; virologic monitoring

Mesh:

Substances:

Year:  2017        PMID: 28793781      PMCID: PMC5709698          DOI: 10.1089/AID.2017.0134

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


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.
1.

Original Research Showing the Impact of Delayed or Absent Second-Line Switch After Initial Antiretroviral Therapy Failure on Subsequent Clinical Outcome

PublicationSetting, date, and studySample size and characteristicsMeasures of delayed or absent switchMeasures of outcomeMain 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 clinics705 (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 failureUnadjusted 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; 2004–2010202 Patients (median CD4 count at failure 202 cells/μl) with virologic failure.Time period of delay (months) before second-line switchRisk of second-line virologic failureEach 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 cohorts823 (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 failureOdds 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 clinics637 (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 switchedRisk of OI after WHO-defined immunological failureAmong 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 failureAmong 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.

Original Research Showing the Impact of Delayed or Absent Second-Line Switch After Initial Antiretroviral Therapy Failure on Subsequent Clinical Outcome 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.
  8 in total

1.  Early outcomes and the virological effect of delayed treatment switching to second-line therapy in an antiretroviral roll-out programme in South Africa.

Authors:  Julie H Levison; Catherine Orrell; Elena Losina; Zhigang Lu; Kenneth A Freedberg; Robin Wood
Journal:  Antivir Ther       Date:  2011

2.  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

3.  Prevalence of HIV-1 drug resistance after failure of a first highly active antiretroviral therapy regimen in KwaZulu Natal, South Africa.

Authors:  Vincent C Marconi; Henry Sunpath; Zhigang Lu; Michelle Gordon; Kofi Koranteng-Apeagyei; Jane Hampton; Steve Carpenter; Janet Giddy; Douglas Ross; Helga Holst; Elena Losina; Bruce D Walker; Daniel R Kuritzkes
Journal:  Clin Infect Dis       Date:  2008-05-15       Impact factor: 9.079

4.  Delayed switch of antiretroviral therapy after virologic failure associated with elevated mortality among HIV-infected adults in Africa.

Authors:  Maya L Petersen; Linh Tran; Elvin H Geng; Steven J Reynolds; Andrew Kambugu; Robin Wood; David R Bangsberg; Constantin T Yiannoutsos; Steven G Deeks; Jeffrey N Martin
Journal:  AIDS       Date:  2014-09-10       Impact factor: 4.177

5.  Treatment outcomes of HIV-positive patients on first-line antiretroviral therapy in private versus public HIV clinics in Johannesburg, South Africa.

Authors:  Faith Moyo; Charles Chasela; Alana T Brennan; Osman Ebrahim; Ian M Sanne; Lawrence Long; Denise Evans
Journal:  Clin Epidemiol       Date:  2016-03-18       Impact factor: 4.790

6.  The need for second-line antiretroviral therapy in adults in sub-Saharan Africa up to 2030: a mathematical modelling study.

Authors:  Janne Estill; Nathan Ford; Luisa Salazar-Vizcaya; Andreas D Haas; Nello Blaser; Vincent Habiyambere; Olivia Keiser
Journal:  Lancet HIV       Date:  2016-02-16       Impact factor: 12.767

7.  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.

Authors:  Habib O Ramadhani; John A Bartlett; Nathan M Thielman; Brian W Pence; Stephen M Kimani; Venance P Maro; Mtumwa S Mwako; Lazaro J Masaki; Calvin E Mmbando; Mary G Minja; Eileen S Lirhunde; William C Miller
Journal:  Open Forum Infect Dis       Date:  2016-01-29       Impact factor: 3.835

8.  Marginal Structural Models to Assess Delays in Second-Line HIV Treatment Initiation in South Africa.

Authors:  Julia K Rohr; Prudence Ive; C Robert Horsburgh; Rebecca Berhanu; Kate Shearer; Mhairi Maskew; Lawrence Long; Ian Sanne; Jean Bassett; Osman Ebrahim; Matthew P Fox
Journal:  PLoS One       Date:  2016-08-22       Impact factor: 3.240

  8 in total
  24 in total

1.  Moderate-to-High Levels of Pretreatment HIV Drug Resistance in KwaZulu-Natal Province, South Africa.

Authors:  Benjamin Chimukangara; Ayesha B M Kharsany; Richard J Lessells; Kogieleum Naidoo; Soo-Yon Rhee; Justen Manasa; Tiago Gräf; Lara Lewis; Cherie Cawood; David Khanyile; Karidia Diallo; Kassahun A Ayalew; Robert W Shafer; Gillian Hunt; Deenan Pillay; Salim Karim Abdool; Tulio de Oliveira
Journal:  AIDS Res Hum Retroviruses       Date:  2019-01-07       Impact factor: 2.205

2.  Impact of Viral Load Monitoring on Retention and Viral Suppression: A Regression Discontinuity Analysis of South Africa's National Laboratory Cohort.

Authors:  Alyssa F Harlow; Jacob Bor; Alana T Brennan; Mhairi Maskew; William MacLeod; Sergio Carmona; Koleka Mlisana; Matthew P Fox
Journal:  Am J Epidemiol       Date:  2020-12-01       Impact factor: 4.897

3.  Point-of-care HIV viral load testing combined with task shifting to improve treatment outcomes (STREAM): findings from an open-label, non-inferiority, randomised controlled trial.

Authors:  Paul K Drain; Jienchi Dorward; Lauren R Violette; Justice Quame-Amaglo; Katherine K Thomas; Natasha Samsunder; Hope Ngobese; Koleka Mlisana; Pravikrishnen Moodley; Deborah Donnell; Ruanne V Barnabas; Kogieleum Naidoo; Salim S Abdool Karim; Connie Celum; Nigel Garrett
Journal:  Lancet HIV       Date:  2020-02-24       Impact factor: 12.767

4.  Access to HIV Viral Load Testing and Antiretroviral Therapy Switch Practices: A Multicountry Prospective Cohort Study in Sub-Saharan Africa.

Authors:  Pascale Ondoa; Andrea A Kim; T Sonia Boender; Guoqing Zhang; Stefanie Kroeze; Jeffrey Wiener; Tobias Rinke de Wit; John Nkengasong
Journal:  AIDS Res Hum Retroviruses       Date:  2020-08-27       Impact factor: 2.205

5.  A nurse-led intervention to improve management of virological failure in public sector HIV clinics in Durban, South Africa: A pre- and post-implementation evaluation.

Authors:  H Sunpath; S Pillay; T Hatlen; R A Murphy; V C Marconi; M-Y S Moosa; K Naidoo; M J Siedner
Journal:  S Afr Med J       Date:  2021-03-31

6.  Urgent need to improve programmatic management of patients with HIV failing first-line antiretroviral therapy.

Authors:  H Sunpath; T J Hatlen; M-Y S Moosa; R A Murphy; M Siedner; K Naidoo
Journal:  Public Health Action       Date:  2020-12-21

7.  Long-Term Outcomes of HIV-Infected Women Receiving Antiretroviral Therapy After Transferring Out of an Integrated Maternal and Child Health Service in South Africa.

Authors:  Tamsin K Phillips; Pheposadi Mogoba; Kirsty Brittain; Yolanda Gomba; Allison Zerbe; Landon Myer; Elaine J Abrams
Journal:  J Acquir Immune Defic Syndr       Date:  2020-03-01       Impact factor: 3.771

8.  Scaling up HIV viral load monitoring in Manicaland, Zimbabwe: challenges and opportunities from the field.

Authors:  B Nyagadza; N Kudya; E Mbofana; S Masaka; D Garone; C-Y Chen; A Mulingwa; C Uzande; P Isaakidis; Z Ndlovu
Journal:  Public Health Action       Date:  2019-12-21

9.  Prevalence and Predictors of Persistent Human Immunodeficiency Virus Viremia and Viral Rebound After Universal Test and Treat: A Population-Based Study.

Authors:  M Kate Grabowski; Eshan U Patel; Gertrude Nakigozi; Victor Ssempijja; Robert Ssekubugu; Joseph Ssekasanvu; Anthony Ndyanabo; Godfrey Kigozi; Fred Nalugoda; Ronald H Gray; Sarah Kalibbala; David M Serwadda; Oliver Laeyendecker; Maria J Wawer; Larry W Chang; Thomas C Quinn; Joseph Kagaayi; Aaron A R Tobian; Steven J Reynolds
Journal:  J Infect Dis       Date:  2021-04-08       Impact factor: 7.759

10.  Emergence of Human Immunodeficiency Virus-1 Drug Resistance During the 3-Month World Health Organization-Recommended Enhanced Adherence Counseling Period in the CART-1 Cohort Study.

Authors:  Jennifer A Brown; Herbert A Mbunkah; Thabo I Lejone; Isaac Ringera; Molisana Cheleboi; Thomas Klimkait; Karin J Metzner; Huldrych F Günthard; Niklaus D Labhardt; Roger D Kouyos; Nadine Tschumi
Journal:  Open Forum Infect Dis       Date:  2021-02-02       Impact factor: 3.835

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.