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CD4 and VL Monitoring: Research and Development needs and Policy implications. Monitoring ART session XVIII IAC Vienna 2010 Prof Charles Gilks UNAIDS India. CD4 and VL Monitoring: Research and Development needs and Policy implications. Core concepts Review of evidence
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CD4 and VL Monitoring: Research and Development needs and Policy implications Monitoring ART session XVIII IAC Vienna 2010 Prof Charles Gilks UNAIDS India
CD4 and VL Monitoring: Research and Development needs and Policy implications Core concepts Review of evidence Policy and R&D implications
Monitoring ART: different guidelines and approaches WHO guidelines for Public Sector ART • Public Health Approach to treatment • First then second line regimens • Maximise Survival and clinical benefit US DHHS; IAS USA; BHIVA; etc • Physician/specialist-led ART • Initial regimen then multiple options • Maximal viral suppression
Monitoring to support Public Sector roll-out of ART and Universal Access • Improve outcome of ART • Maximise benefit and survival • Promote adherence • Reduce emergence of HIV DR • Be accessible • Long-term, decentralised chronic care • Be a good investment for Programmes • Optimal resource allocation
Monitoring for ART outcome Guide when to change therapy • Substitute within class • Toxicity monitoring • First-line to alternate first-line regimen(s) • Switch to second line • To identify failure • Early versus late switch
Identifying failure No gold standard for monitoring ART to identify failure and trigger the switch to second line • Three different domains for failure: • Clinical using WHO clinical staging • Immunological using CD4 counts • Virological using HIV PCR • These domains measure different parameters and are NOT congruent • Limited evidence on frequency of monitoring and what constitutes threshold for failure
Trials/Models to compare ART monitoring strategies • Baseline against which different strategies can be compared – clinical monitoring • Immunological (CD4) and virological (VL) monitoring are compared to baseline • Incrementally added: CD4 then VL. • Uncertainty about threshold value • Usually 3-monthly schedule
DART: Switch to second-line 0.5 HR(CDM:LCM) = 0.84 (95% CI 0.72-0.98), p=0.03 0.4 Proportion switched to second-line 0.3 LCM CDM 0.2 0.1 0.0 0 1 2 3 4 5 Years from randomisation (ART initiation) DART trial team, Lancet 2010: 375; 23 - 31
DART Survival 0.95 0.94 0.55 0.92 0.90 0.18 0.90 0.87 0.08 1.0 LCM CDM 0.8 0.6 Proportion alive Entebbe Cohort: pre-ART, median CD4 75 at start 0.4 0.2 0.0 0 1 2 3 4 5 Years from randomisation (ART initiation) DART trial team, Lancet 2010: 375; 23 - 31 9
DART Survival 0.95 0.94 0.55 0.92 0.90 0.18 0.90 0.87 0.08 1.0 LCM CDM 0.8 0.6 Proportion alive Entebbe Cohort: pre-ART, median CD4 75 at start 0.4 0.2 0.0 0 1 2 3 4 5 Years from randomisation (ART initiation) CEA: CD4 costs below about $3.80 to be cost-effective
HBAC Study: interim conclusions • Adding CD4 to clinical monitoring ($831 - $838 per DALY averted) is about as cost-effective as putting another person on ART in Tororo ($600 per DALY). • Adding viral load to CD4/clinical monitoring has a cost per DALY averted ($3,600 - $11,900) that is 4 to 20 times higher. • HBAC analysis suggests that CD4 monitoring or starting a patient on ART are economically preferable to viral load monitoring Abstract 125, CROI 2008; and unpublished
Although survival was slightly longer with viral load monitoring, this strategy was not the most cost-effective. The benefits of Vl or CD4 over clinical monitoring are modest. Development of cheap and robust assays is important; meanwhile widening access to ARVs is the highest priority Cost-effectiveness of Laboratory monitoring in Sub-Saharan Africa: A review of current literature. Walensky et al. CID 2010: 51; 123-127
VL as “tie-break” for cost savings • Substantial numbers of patients with clear clinical or CD4 immunological failure and who switch ART are not failing virologically • VL being considered as “tie-breaker” to confirm failure or to suggest continuation of first-line ART • This is NOT virological monitoring of ART – it is a strategy to identify those who will benefit from switching to second line and to save costs.
Evidence-based policy CD4 over CDM improves survival • Costs below $4 with parsimonious monitoring More survival benefit from using costs of CD4 monitoring to start patients in need on ART Viral load monitoring not cost effective • VL essential for EID and paediatric care • VL likely to be cost-saving to confirm failure
Research & Development needs • Low-cost POC assays for CD4 and VL • Support prevention and decentralised chronic care delivery • Establish threshold for viral load failure and switching • DART has defined CD4 and clinical thresholds • Efficacy of VL monitoring • Randomised trials of VL versus CD4 • Clinical consequences of detectable viral replication • transmissibility of DR versus wild-type • Costs and Cost-effectiveness of different strategies • real data and PHA for modelling