Men’s Health Foundation, Los Angeles, CA

Slides:



Advertisements
Similar presentations
1 Lauren E. Finn, 2 Seth Sheffler-Collins, MPH, 2 Marcelo Fernandez-Viña, MPH, 2 Claire Newbern, PhD, 1 Dr. Alison Evans, ScD., 1 Drexel University School.
Advertisements

Is monitoring for CD4 counts still needed for the management of patients with long- term HIV RNA suppression? Andrew Hill, Liverpool University, UK.
The Effect of Syphilis Co-infection on Clinical Outcomes in HIV-Infected Persons The Effect of Syphilis Co-infection on Clinical Outcomes in HIV-Infected.
Racial Disparities in Antiretroviral Therapy Use and Viral Suppression among Sexually Active HIV-infected Men who have Sex with Men— United States, Medical.
Wisconsin Department of Health Services HIV/AIDS Surveillance Annual Review New diagnoses, prevalent cases, and deaths through December 31, 2013 April.
Catherine Kober Margaret Johnson Martin Fisher Caroline Sabin On behalf of UK-CHIC BHIVA/BASHH Manchester 2010 Non-uptake of HAART among patients with.
#735 KA Lichtenstein 1, C Armon 2, K Buchacz 3, AC Moorman 3, KC Wood 2, JT Brooks 3, and the HOPS Investigators 1 University of Colorado Health Sciences.
Life expectancy of patients treated with ART in the UK: UK CHIC Study Margaret May University of Bristol, Department of Social Medicine, Bristol.
Generously supported by the Robert Wood Johnson Foundation Clinical Scholars Program, Department of Veteran Affairs, and National Institutes of Health,
Neurocognitive Impairment in HIV-Infected Subjects on HAART: Prevalence and Associations Kevin Robertson *1, Kunling Wu 2, Thomas Parsons 1, Ron Ellis.
INTRODUCTION Evaluation of Outcomes in Patients Starting Antiretroviral Therapy During Hospitalization Leigh E. Efird, PharmD 1, Manish Patel, PharmD 1,
Arnold School of Public Health Health Services, Policy, and Management 1 Drug Treatment Disparities Among African Americans Living with HIV/AIDS Carleen.
Factors Associated with Survival in HIV-Infected African Patients on Antiretroviral Therapy: The Impact of a Sampling-Based Approach to Address Losses.
HIV Care Continuum Persons Living With HIV, Georgia, 2012.
Good Three-year Outcomes of Antiretroviral Therapy at Multiple NGO- assisted facilities in Four Provinces in South Africa Geoffrey Fatti, Ashraf Grimwood.
1 The impact of ongoing illicit drug use on virologic suppression in HIV-infected injection drug users receiving HAART Authors: Harout Tossonian, Jesse.
Describing the risk of an event and identifying risk factors Caroline Sabin Professor of Medical Statistics and Epidemiology, Research Department of Infection.
Annual Epidemiological Spotlight on HIV in London: 2014 data Field Epidemiology Services PHE Publications gateway number
Mean HIV viral load among resident cases and undiagnosed in Oregon Jeff Capizzi, Epidemiologist Sean Schafer, HIV/STD/TB Medical Epidemiologist Lea Bush,
THE 6 TH NATIONAL SCIENTIFIC CONFERENCE ON HIV/AIDS Yield and impact of repeated screening for tuberculosis and isoniazid preventive therapy among patients.
Strategies for Management of Antiretroviral Therapy Study Wafaa El-Sadr and James Neaton for the SMART Study Team.
Treatment Failure HAIVN Harvard Medical School AIDS Initiative in Vietnam.
The Impact of Darunavir/ritonavir (DRV/r) & Raltegravir (RAL) in the Clinic: A New Era for Treatment-Experienced Patients? M. Mugavero 1, H. Lin 1, J.
Date of download: 5/28/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Low-Frequency HIV-1 Drug Resistance Mutations and.
A Survival Comparison between HIV+ U.S.-born Latinos and Foreign-born Latinos in Houston, Texas Raouf Arafat, MD, MPH, Adebowale Awosika- Olumo.
Estimating the population impact of homelessness on HIV viral suppression among people who use drugs Brandon DL Marshall, 1 Beth Elson, 1 Sabina Dobrer,
HAART Initiation Within 2 Weeks of Seroconversion Associated With Virologic and Immunologic Benefits Slideset on: Hecht FM, Wang L, Collier A, et al. A.
CD4 trajectory among HIV positive patients receiving HAART in a large East African HIV care centre Agnes N. Kiragga 1, Beverly Musick 2 Ronald Bosch, Ann.
Henry Masur, MD Bethesda, Maryland
Priscilla Tsondai, Lynne Wilkinson, Anna Grimsrud, Angelina Trivino,
Treatment-Naïve Adults
Factors associated with loss to follow up in a primary healthcare clinic practicing test and treat Authors: Julius Kiwanuka1,2, Noah Kiwanuka3, Flavia.
PRESENTED AT THE 9TH IAS CONFERENCE ON HIV SCIENCE - PARIS, FRANCE
Emory University School of Medicine Department of Medicine
Earlier treatment and lower mortality in infants Initiating ART at
undetectable (undetectable-6.25)
Factors affecting virological failure in patients receiving antiretroviral therapy: a prospective HIV Clinical cohort in rural Uganda. Patrick Kazooba1,
Conclusions & Implications
14th European AIDS Conference
ARV-trial.com Switch to LPV/r + RAL KITE Study 1.
Validating Definitions of Antiretroviral Treatment Failure in Malawi
HIV Care Continuum in Manhattan
Predictors of antiretroviral treatment associated tuberculosis in Ethiopia: a nested case control study Nebiyu Mesfin, MD.
Better Retention Rates Observed in Patients on Lopinavir than Atazanavir in Uganda
Clinical outcome after SVR: Veterans Affairs
San Francisco Department of Public Health
Juan Gonzalez Perez AIDS Healthcare Foundation
Chloe Orkin British HIV Association Queen Mary University London
World Epidemiology. Are HIV and Other Chronic Diseases Models Applicable to Viral Hepatitis? Focus on HCV.
Switch to DTG-containing regimen
Dorina Onoya1, Tembeka Sineke1, Alana Brennan1,2, Matt Fox1,2
Phase 3 Treatment Naïve HIV Coinfection
24 July 2018 Treatment outcomes with bedaquiline use when substituted for second-line injectables in multidrug resistant tuberculosis: a retrospective.
Why Dolutegravir? Daniel R. Kuritzkes, M.D.
Long-Term Clinical and Immunologic Outcomes Are Similar in HIV-Infected Persons Randomized to NNRTI versus PI versus NNRTI+PI-based Antiretroviral Regimens.
Cholesterol Management in HIV-infected and Uninfected Patients: The Veterans Aging Cohort Study Leaf, DA, Goulet J, Goetz MB, Oursler KA, Gilbert C, Frieberg.
Impact of Hepatitis C, HIV, or Both on Survival in Veterans in Care Before and After the Introduction of HAART (1996) SL Fultz, MD, MPH CH Chang, PhD AA.
Poster WP41; Contact: David A. Katz,
The Role of Comorbidity in Long Term HIV Infection and Treatment
Shawn L Fultz, MD MPH VACS Scientific Meeting, Feb 2004
Needs Assessment Slides for Module 4
North Carolina Medical Monitoring Project
Summary Sheet Figures and Maps
Summary Sheet Figures and Maps
M Javanbakht, S Guerry, LV Smith, P Kerndt
Melissa Herrin, Jan Tate ScD, MPH & Amy Justice, MD, PhD
Switch to DTG-containing regimen
Virologic Failure In ART-Naive HIV Patients With High Pre-Therapy Viral Load Burden Initiating On Common Core Agents Anthony M. Mills, M.D.
Share your thoughts on this presentation with #IAS2019
Public Health Implications
Presentation transcript:

Men’s Health Foundation, Los Angeles, CA Virologic Failure In ART-Naive HIV Patients With High Pre-Therapy Viral Load Burden Initiating On Common Core Agents Anthony M. Mills, M.D. Men’s Health Foundation, Los Angeles, CA #MENSHEALTHFOUND

Disclosures Anthony Mills has received research funding from Gilead Sciences, ViiV Healthcare, Janssen, Merck and Sangamo He is on advisory boards for Gilead Sciences, ViiV Healthcare, Janssen & Merck

Background Previous work has suggested that a sizeable proportion of naïve patients present with baseline VL ≥ 100K copies/mL (Mills, ISPOR 2019) Achieving virologic suppression in these patients can be challenging (DiBiagio, 2014; Raffi, 2017) Kathy Shulman ISPOR 2019

Objective We assessed the effectiveness of dolutegravir (DTG), elvitegravir (EVG), raltegravir (RAL) and darunavir (DRV) on rates of virologic failure (VF) in antiretroviral (ART) naïve patients initiating therapy with a high viral load burden (≥ 100,000 copies/mL) in a real world setting

METHODS

Study Population: Data Source Observational Pharmaco-Epidemiology Research & Analysis (OPERA) cohort Prospectively captured, routine clinical data from electronic health records OPERA-participating clinicians documented the care of almost 1,000,000 patients in their EHRs 104K HIV+ patients of which 19% are women, representing 7 percent of all the HIV+ patients diagnosed in the U.S. Average years of follow-up for HIV+ patients in OPERA is 4.3 years 13K HIV+ patients have ten years or more of follow-up

U.S. Map of OPERA & CDC, HIV+ Population 100,000+ Patients 65 Cities 19 States 1 US Territory the darker the shading, the higher the CDC reported rates of HIV diagnosis in that state the larger the red circle, the bigger the OPERA site.

Study Design Eligibility Criteria Eligibility period Baseline HIV-positive ≥ 13 years of age ART naïve, prescribed DTG, EVG, RAL or DRV by an OPERA caregiver Baseline viral load ≥100,000 copies/mL Eligibility period August 12, 2013 to July 31, 2017 Follow-up through July 31, 2018 Baseline Date of core agent initiation These 4 core agents were used in combination with 2 NRTIs

Definition of Virologic Failure ART initiation 36 weeks VL ≥200 Viral load >50 copies/mL Viral load ≤50 copies/mL Viral load ≥200 copies/mL Core agent discontinuation A D C B Never Achieved Virologic Suppression Achieved & Lost Virologic Suppression Blue line indicates time where VL>50 copies/mL. Four VF definitions A: 2 consecutive VLs ≥200 copies/mL after 36 weeks of ART, or B: 1 VL ≥200 copies/mL with core agent discontinuation after 36 weeks, or C: 2 consecutive VL ≥200 copies/mL after suppression (VL ≤50 copies/mL) before 36 weeks, or D: 1 VL ≥20 copies/mL with discontinuation after suppression before 36 weeks.

Analyses Unadjusted and adjusted cumulative virologic failure probability Kaplan Meier methods Multivariate Cox Proportional Hazards model Adjustment set: All covariates measured at baseline Age Drug abuse Sex History of syphilis infection Race Calendar year of ART initiation CD4 cell count HIV RNA VL Route of infection History of AIDS Type of healthcare coverage VACS score Veterans Aging Cohort Study- associated with dependence in one or more activities of daily living(37). It responds to important changes in health and health behaviors: VACSIndex scores change in response to antiretroviral initiation38 and interruption7, and discriminate among levels of ART adherence38. Veterans Aging Cohort Study Index (VACS Index) creates a score by summing pre-assigned points for age, routinely monitored indicators of HIV disease (CD4 count and HIV-1 RNA), and general indicators of organ system injury including hemoglobin, platelets, aspartate and alanine transaminase (AST and ALT), creatinine, and viral hepatitis C infection (HCV) (Table 1)1. This score is weighted to indicate increasing risk of all-cause mortality with increasing score. The score can be used to estimate risk of all-cause mortality using a conversion factor2. A calculator, summary of validation work to date, and a clinical interpretation of VACS Index scores can be found above.

RESULTS

Study Population: Individuals with Baseline VL ≥ 100,000 copies/mL (N=2,038) DRV n=326, 16% Most (82%) are initiating on DTG or EVG Few RAL initiators

Baseline Demographic Characteristics EVG and DTG were similar. The only significant differences are not shown on this slide. EVG initiators were more likely to receive care in the southern United States (p<.001). Conversely, they were less likely than DTG initiators to receive care in the western US (p<.001) or to have Medicaid (p<.05). RAL users were older (p<.05) with median (IQR) age of 40 (29-48) as compared to DTG users at 33 (26-43). They were more likely to be female (31%, p<.01) and less likely to be MSM (p<.01). Compared to DTG users, DRV users were older (median: 37 [IQR: 29, 45] p<.001), more likely to be African American (p<.05), or to have Medicare (p<.05), and less likely to have a commercial payer (p<.01) . *Result is statistically significant (p<.05) compared to DTG

Baseline Clinical Characteristics EVG and DTG were similar in their clinical characteristics at baseline. RAL and DRV users were the smallest groups and had higher baseline viral loads (DRV p<.0001) and lower baseline CD4 cell counts (RAL p <.05 & DRV p<.0001) than did DTG initiators. They were also more likely to have a baseline history of AIDS (DRV p<.0001), a higher VACS score (RAL p<.05 & DRV p<.0001), and more non-ART prescriptions (p<.05) than DTG users. *Result is statistically significant (p<.05) compared to DTG

≥ 100,000 copies/mL Achieved Virologic Suppression by 36 Weeks, Unadjusted Not a clinical trial so patient must have a second visit within 36 weeks with VL test to be in the denominator.

Unadjusted Cumulative Probability of Virologic Failure in Individuals with Baseline VL ≥ 100,000 copies/mL DRV RAL EVG DTG In these Kaplan-Meier curves, there were significant differences in the probability of virologic failure across these four groups before adjustment. However, the RAL group was very small and the DRV group was very different from the DTG and EVG groups.

Association Between Core Agent and Virologic Failure in Individuals with Baseline VL ≥ 100,000 copies/mL In this figure, we show the crude frequency and incidence rate per 1,000 person-years with 95% confidence intervals for each group. Cox proportional hazard models were adjusted for baseline age, sex, race, CD4 cell count, HIV RNA VL, history of AIDS, VACS score, drug abuse, history of syphilis infection, calendar year of ART initiation, route of infection and type of health coverage. In this population of patients with high viral loads at treatment initiation; EVG (1.46 [1.05, 2.03]), RAL (4.13 [1.85, 9.24]), and DRV (2.24 [1.50, 3.34]) were all associated with virologic failure. 203 patients were excluded from modeling because a VACS score could not be calculated. These included 61 non-failures and 5 failures on DTG, 91 non-failures and 11 failures on EVG, 5 non-failures and 0 failures on RAL, and 29 non-failures and 1 failure on DRV.

DISCUSSION

Key Findings ART-naïve patients with high viral loads initiating on DTG were significantly less likely to experience VF compared to EVG, RAL and DRV initiators even after adjusting for differences in baseline characteristics

Strengths Limitations Large sample size in each of the treatment groups with the exception of raltegravir OPERA cohort is a representative sample of the HIV population receiving care in the United States Approximately 7% of all US patients active in care are represented in the database Electronic medical records: Availability of lab results Ability to identify and account for history of disorders Small sample size in raltegravir group Darunavir patients differed notably, especially on baseline characteristics associated with risk for treatment failure OPERA clinical data is collected at point-of- care and is subject to the record-keeping practices of each healthcare provider and each clinic The latest DHHS recommended agent, bictegravir, and new formulations of raltegravir and darunavir were not included in this study as their approval occurred after the close of study eligibility

Acknowledgements This research would not be possible without the participation of people living with HIV and their caregivers Co-authors: Kathy Schulman, Jennifer Fusco, Michael Wohlfeiler, Julie Priest, Alan Oglesby, Laurence Brunet, Phil Lackey, Gregory Fusco I am grateful for the following contributions: Amelito Torres (SAS programming), Jeff Briney (QA/QC), Rodney Mood (site selection and support), Ted Ising (database architecture and support), Bernie Stooks and Redemptor Perez (database support) and Judy Johnson (medical terminology classification) This research was supported by ViiV Healthcare

BACK-UP SLIDES

Virologic Failures After Excluding 203 Patients Without Baseline VACS Index for Modeling % DTG 670 57 8.5 EVG 826 100 12.1 RAL 43 7 16.3 DRV 296 51 17.2 Total 1,835 215 11.7 203 patients were excluded from modeling because a VACS score could not be calculated. These included 61 non-failures and 5 failures on DTG, 91 non-failures and 11 failures on EVG, 5 non-failures and 0 failures on RAL, and 29 non-failures and 1 failure on DRV.

COX MODEL RESULTS VACS is a mortality index that predicts the 5-year risk of mortality. Year of ART initiation represents the addition of new OPERA clinics that were more likely to be public or non-profit clinics with more patients with low SES ADAP/Ryan White/Medicaid/Medicare represent patients on government assistance for their HIV care.