Evaluation of the WHO immunologic criteria for treatment failure among adults on first-line HAART in south India Snigdha Vallabhaneni 1, Sara Chandy 2,

Slides:



Advertisements
Similar presentations
High rates of survival, virologic suppression and immune reconstitution among patients receiving second-line ART in the Indian national programme B.B.
Advertisements

Objective of the DAP A) Specify an analysis plan that can be applied to a wide variety of clinical HIV resistance studies. B) Include both Intervention.
Switch to EVG/c/FTC/TDF  STRATEGY-PI Study  STRATEGY-NNRTI Study.
Case Discussion: HIV resistance and salvage regimens The 3 rd HIV-NAT Symposium Series Wasana Prasitsuebsai, MD, MPH 25 th July 2013.
Alternative antiretroviral monitoring strategies for HIV-infected patients in resource-limited settings: Opportunities to save more lives? R Scott Braithwaite,
Validating five questions of antiretroviral non-adherence in a decentralized public-sector antiretroviral treatment program in rural South Africa Krisda.
Welcome to UW I-TECH HIV/AIDS Clinical Seminar Series Treatment Failure, Resistance, and 2 nd line ART in Resource-Limited Settings Chris Behrens, MD May.
Switch to TDF/FTC/RPV - SPIRIT Study. SPIRIT study: switch PI/r + 2 NRTI to TDF/FTC/RPV STR  Design TDF/FTC/RPV STR 24 weeks 48 weeks Primary Endpoint.
1 Treatment Failure HAIVN Harvard Medical School AIDS Initiative in Vietnam.
Future ART options for HIV-infected children exposed to maternal HAART Lee Kleynhans Experts Roundtable June 2008.
Global HIV Resistance: The Implications of Transmission
Switch to TDF/FTC/RPV  SPIRIT Study. SPIRIT study: Switch PI/r + 2 NRTI to TDF/FTC/RPV TDF/FTC/RPV STR 24 weeks 48 weeks Primary Endpoint Secondary Endpoint.
Failure Therapy VIRAL RESITANCE ADHERENCE!!!!!!!!!!! DRUG INTERACTION.
2009 Recommendations for Antiretroviral Therapy in Adults and Adolescents Summary of WHO Rapid Advice December 2009 Source: WHO HIV/AIDS Department.
Virological predictors of clinical outcome Anna Maria Geretti Royal Free Hampstead NHS Trust & UCL Medical School London.
Switch to ATV/r-containing regimen  ATAZIP. Mallolas J, JAIDS 2009;51:29-36 ATAZIP ATAZIP Study: Switch LPV/r to ATV/r  Design  Endpoints –Primary:
Predicting NNRTI Resistance – do polymorphisms matter? Nicola E Mackie 1, Lucy Garvey 1, Anna Maria Geretti 2, Linda Harrison 3, Peter Tilston 4, Andrew.
1 ARV Drug Resistance HAIVN Harvard Medical School AIDS Initiative in Vietnam.
M. Ekstrand 1,2,3, A. Shet 2,4, S. Chandy 4, G. Singh 4, R. Shamsundar 4, V. Madhavan 5, S. Saravanan 5, N. Kumarasamy 5 1 University of California, San.
The Positive Predictive Value of World Health Organization (WHO) Immunologic Criteria for Treatment Failure in a Public Health Antiretroviral Delivery.
Challenges to replacing CD4 testing with viroloigical monitoring Andrew Hill, Pharmacology Research Laboratories, University of Liverpool, UK World AIDS.
Comparison of NNRTI vs PI/r  EFV vs LPV/r vs EFV + LPV/r –A5142 –Mexican Study  NVP vs ATV/r –ARTEN  EFV vs ATV/r –A5202.
Switch to LPV/r monotherapy  Pilot LPV/r  M  LPV/r Mono  KalMo  OK  OK04  KALESOLO  MOST  HIV-NAT 077.
Supported by: NIAID/NHLBI R24 AI067039, NIAID R21 AI Viremia copy-years: A measure of cumulative HIV burden among patients initiating antiretroviral.
High Discordance in Plasma and Genital Tract HIV-1 Drug Resistance in Indian Women Failing First-line Therapy MOPDA0106 S. Saravanan, PhD Session Code:
Switch to LPV/r monotherapy  Pilot LPV/r  M  LPV/r Mono  KalMo  OK  OK04  KALESOLO  MOST  HIV-NAT 077.
INTRODUCTION A previous cohort study from our unit suggested a benefit for the use of efavirenz compared to nevirapine in a group of patients initiating.
Long Term Therapeutic Success of Etravirine in Switch and Naive Patients L.Bull, M.Bower, M.Nelson Chelsea and Westminster Hospital, London.
Clinical development programme for Second-Line treatment Anton Pozniak World AIDS Conference, July 2014.
Washington D.C., USA, July 2012www.aids2012.org Changing Patterns of NRTI and PI Resistance Mutations Between 2006 and 2011 in ART experienced SA.
N ORTHWEST A IDS E DUCATION AND T RAINING C ENTER Treatment-Experienced Patients in Resource- Limited Settings Susan M. Graham Assistant Professor, Medicine.
Comparison of NNRTI vs NNRTI  ENCORE  EFV vs RPV –ECHO-THRIVE –STAR  EFV vs ETR –SENSE.
Treatment Failure HAIVN Harvard Medical School AIDS Initiative in Vietnam.
Accumulation of Protease Mutations Among Patients on Non-Suppressive 2 nd -Line ART in Nigeria H. Rawizza, B. Chaplin, S. Meloni, P. Okonkwo, P. Kanki.
Figure 2: Trends in currently prescribed antiretroviral therapy % prescribed HAART increased from 74% to 83% Trends in ART use, HIV viral load, and CD4.
HAART Initiation Within 2 Weeks of Seroconversion Associated With Virologic and Immunologic Benefits Slideset on: Hecht FM, Wang L, Collier A, et al. A.
ACTG 5142: First-line Antiretroviral Therapy With Efavirenz Plus NRTIs Has Greater Antiretroviral Activity Than Lopinavir/Ritonavir Plus NRTIs Slideset.
First-Line Treatment of HIV Infection With Either NNRTI- or PI-Based Regimens Effective for Long-term Disease Control Slideset on: MacArthur RD, Novak.
1 Predictors of Immunological Failure Among Adult Patients Receiving ART at an urban, HIV Clinic in Uganda Dr. Muhumuza Simon (M.D, MPH) Mulago-Mbarara.
1 Predictors of virological failure in a Cambodian setting Sokkab An, M.D Sihanouk Hospital Center of HOPE (SHCH), Phnom Penh, Cambodia.
HIV Drug Resistance Surveillance Satellite Session: HIV Drug Resistance Surveillance and Control: a Global Concern Silvia Bertagnolio, MD WHO,
#AIDS2016 Dolutegravir (DTG) plus Rilpivirine (RPV) in Suppressed Heavily Pretreated HIV-Infected Patients A. Díaz, J.L. Casado, F.
Switch to PI/r monotherapy
Rilpivirine-TDF-FTC versus Efavirenz-TDF-FTC STaR Trial
Figure 1 Inclusion criteria, exclusion criteria, and criteria for virologic failure. CDC, Centers for Disease Control and Prevention; ddC, zalcitabine;
Etravirine in Treatment Experienced DUET-2 (TMC125-C216)
Switch to RPV-TDF-FTC from Ritonavir-boosted PI Regimen SPIRIT STUDY
Global epidemiology of drug resistance after failure of WHO recommended first-line regimens for adult HIV-1 infection: a multicentre retrospective cohort.
Lopinavir-ritonavir mg BID (n = 354)
Etravirine versus Protease Inhibitor in ARV-Experienced TMC 125-C227
Switch to Etravirine from Efavirenz due to CNS Toxicity SSAT-029 STUDY
Validating Definitions of Antiretroviral Treatment Failure in Malawi
Switch RPV-TDF-FTC from NVP-Based Regimen NEAR-Rwanda Trial
Introduction Results Objectives Methods Conclusion Funding
Simple assessments of adherence to antiretorviral therapy predict virologic failure in HIV+ patients in Lusaka, Zambia Ronald A. Cantrell, MPH University.
Better Retention Rates Observed in Patients on Lopinavir than Atazanavir in Uganda
Switching the NRTI Backbone to Tenofovir DF-Emtricitabine TOTEM
ARV-trial.com Switch to MVC MARCH Study 1.
The role of CD4 in patient monitoring Amsterdam July 2018
St Stephen’s Centre, Chelsea & Westminster Hospital, United Kingdom
Long-Term Clinical and Immunologic Outcomes Are Similar in HIV-Infected Persons Randomized to NNRTI versus PI versus NNRTI+PI-based Antiretroviral Regimens.
Switch to E/C/F/TAF + DRV
Impact of Baseline NNRTI Mutations on the Virologic Response to TMC125 in the Phase III Clinical Trials DUET-1 and DUET-2 J Vingerhoets, A Buelens, M.
Switch to LPV/r monotherapy
Comparison of NNRTI vs PI/r
Background. Long-Term B/F/TAF Switch Efficacy in Patients with Archived Pre-Existing Resistance.
ARV-trial.com Switch to FTC + ddI + EFV ALIZE 1.
Comparison of NNRTI vs NNRTI
HVDRS STUDY RESISTANCE: WE CARE
Dr. Grace Namayanja – Kaye 24 July 2019
Presentation transcript:

Evaluation of the WHO immunologic criteria for treatment failure among adults on first-line HAART in south India Snigdha Vallabhaneni 1, Sara Chandy 2, Elsa Heylen 1, Maria Ekstrand 1,2 (1)Center for AIDS Prevention Studies, University of California, San Francisco, USA (2) St John’s National Academy of Health Sciences, Bangalore, India

Objectives Evaluate the test performance characteristics of WHO criteria for immunologic failure (IF), compared against virologic failure (VF) in the Indian setting. Assess the genotypic consequences of staying on a failing regimen. Methods Longitudinal cohort study ( ) in Bangalore, India 522 HIV+ participants on HAART for at least 6 months. CD4, VL, and genotype every 6 months for 24 months. IF = fall of CD4 to pre-tx baseline, ≥50% fall from peak, persistently <100 cells/mm 3. VF = 2 VL ≥ 1000 copies/ml or 1VL ≥ 10,000 copies/ml.

VF+VF-Total IF IF Total Test Characteristics of WHO- IF criteria to detect VF Sensitivity: 22.8% (95% CI: ) Specificity: 93.8% (95% CI: ) Mutation (Mut) Mut at time VF detectedMut during study Mut at end of study VF at enrollment (N=29) VF during study (N=15)(N=44) NRTI MUTATIONS M18425 (86%)8 (53%)+740 (91%) Any TAMS16 (55%) (66%) 1 TAM608 2 TAMs6011 ≥ 3 TAMS /Q151M2 (7%)0+57 (16%) K65R/70E4 (14%)0+04 (9%) TDF resistance6 (21%)0+915 (35%) NNRTI MUTATIONS K103N7 (24%)2 (13%)+312 (27%) Y181C15 (52%)2 (13%)+219 (43.%) G190A7 (24%)5 (33%)+618 (41%) K101E6 (21%)1 (7%)+613 (30%) ETR score>2.518 (62%)2 (13%)+828 (65%) Genotypic consequence of staying on a failing regimen (N=44) Results PPV: 31.0% 95%CI:

VF+VF-Total IF IF Total Test Characteristics of WHO- IF criteria to detect VF Sensitivity: 22.8% (95% CI: ) Specificity: 93.8% (95% CI: ) Mutation (Mut) Mut at time VF detectedMut during study Mut at end of study VF at enrollment (N=29) VF during study (N=15)(N=44) NRTI MUTATIONS M18425 (86%)8 (53%)+740 (91%) Any TAMS16 (55%) (66%) 1 TAM608 2 TAMs6011 ≥ 3 TAMS /Q151M2 (7%)0+57 (16%) K65R/70E4 (14%)0+04 (9%) TDF resistance6 (21%)0+915 (35%) NNRTI MUTATIONS K103N7 (24%)2 (13%)+312 (27%) Y181C15 (52%)2 (13%)+219 (43.%) G190A7 (24%)5 (33%)+618 (41%) K101E6 (21%)1 (7%)+613 (30%) ETR score>2.518 (62%)2 (13%)+828 (65%) Genotypic consequence of staying on a failing regimen (N=44) Results PPV: 31.0% 95%CI:

VF+VF-Total IF IF Total Test Characteristics of WHO- IF criteria to detect VF Sensitivity: 22.8% (95% CI: ) Specificity: 93.8% (95% CI: ) Mutation (Mut) Mut at time VF detectedMut during study Mut at end of study VF at enrollment (N=29) VF during study (N=15)(N=44) NRTI MUTATIONS M18425 (86%)8 (53%)+740 (91%) Any TAMS16 (55%) (66%) 1 TAM608 2 TAMs6011 ≥ 3 TAMS /Q151M2 (7%)0+57 (16%) K65R/70E4 (14%)0+04 (9%) TDF resistance6 (21%)0+915 (35%) NNRTI MUTATIONS K103N7 (24%)2 (13%)+312 (27%) Y181C15 (52%)2 (13%)+219 (43.%) G190A7 (24%)5 (33%)+618 (41%) K101E6 (21%)1 (7%)+613 (30%) ETR score>2.518 (62%)2 (13%)+828 (65%) Genotypic consequence of staying on a failing regimen (N=44) Results PPV: 31.0% 95%CI:

VF+VF-Total IF IF Total Test Characteristics of WHO- IF criteria to detect VF Sensitivity: 22.8% (95% CI: ) Specificity: 93.8% (95% CI: ) Mutation (Mut) Mut at time VF detectedMut during study Mut at end of study VF at enrollment (N=29) VF during study (N=15)(N=44) NRTI MUTATIONS M18425 (86%)8 (53%)+740 (91%) Any TAMS16 (55%) (66%) 1 TAM608 2 TAMs6011 ≥ 3 TAMS /Q151M2 (7%)0+57 (16%) K65R/70E4 (14%)0+04 (9%) TDF resistance6 (21%)0+915 (35%) NNRTI MUTATIONS K103N7 (24%)2 (13%)+312 (27%) Y181C15 (52%)2 (13%)+219 (43.%) G190A7 (24%)5 (33%)+618 (41%) K101E6 (21%)1 (7%)+613 (30%) ETR score>2.518 (62%)2 (13%)+828 (65%) Genotypic consequence of staying on a failing regimen (N=44) Results PPV: 31.0% 95%CI:

VF+VF-Total IF IF Total Test Characteristics of WHO- IF criteria to detect VF Sensitivity: 22.8% (95% CI: ) Specificity: 93.8% (95% CI: ) Mutation (Mut) Mut at time VF detectedMut during study Mut at end of study VF at enrollment (N=29) VF during study (N=15)(N=44) NRTI MUTATIONS M18425 (86%)8 (53%)+740 (91%) Any TAMS16 (55%) (66%) 1 TAM608 2 TAMs6011 ≥ 3 TAMS /Q151M2 (7%)0+57 (16%) K65R/70E4 (14%)0+04 (9%) TDF resistance6 (21%)0+915 (35%) NNRTI MUTATIONS K103N7 (24%)2 (13%)+312 (27%) Y181C15 (52%)2 (13%)+219 (43.%) G190A7 (24%)5 (33%)+618 (41%) K101E6 (21%)1 (7%)+613 (30%) ETR score>2.518 (62%)2 (13%)+828 (65%) Genotypic consequence of staying on a failing regimen (N=44) Results PPV: 31.0% 95%CI:

Conclusions WHO criteria for immunologic failure have poor sensitivity (22.8%) for detecting virologic failure. By using these criteria, a notable proportion of patients would be continued on first line therapy that they are already failing. Implications for second line therapy: at 18 months of f/u, 35% patients had predicted resistance tenofovir 65% patients had predicted resistance to etravirine. Given the poor PPV (31%), relying on CD4 count data alone would lead to a substantial number of unnecessary switches to second-line HAART. Universal access to VL monitoring would avoid costly switches to second-line HAART and preserve future therapeutic options.