State of the Art for ART for Prevention. Wafaa El-Sadr, MD, MPH ICAP-Columbia University

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1 State of the Art for ART for Prevention Wafaa El-Sadr, MD, MPH ICAP-Columbia University

2 Millions Global Scale-Up of HIV Treatment End of 2002 End of 2003 End of 2004 End of 2005 End of 2006 End of 2007 End of 2008 End of 2009 End of 2010

3 Mortality per 1,000 adults Deaths in PEPFAR-Supported Countries in Africa PEPFAR Supported PEPFAR Adapted Bendavid et al. CROI2012

4 Deaths per 1,000 adults Deaths in PEPFAR-Supported Countries in Africa 9 8 Other countries PEPFAR Supported PEPFAR Adapted Bendavid et al. CROI 2012

5 6-25 million Additional people who need treatment

6 2.5 million people infected every year

7 7,000 New infections every day 1,000 in children

8 We can t treat our way out of of this epidemic

9 ART for Prevention: The Evidence

10 We can treat our way out of this epidemic

11

12 HIV Continuum Test Engage, Counsel, Monitor, and Support Retain, Counsel, Monitor, and Support Adherence and Viral Suppression Link ART Eligible McNairy et al, AIDS 2012

13 Challenges in Achieving Potential of ART for Prevention Unaware of individual risk for HIV Vulnerable and disenfranchised populations at higher risk Limited access to HIV testing Refusal of testing due to denial or stigma Provider practice of risk-based versus routine screening Unaware of HIV Status HIV testing not accessible or underutilized Providers and individuals unaware of HIV symptoms or risk Late Diagnosis of HIV Disease Limited access to care services Barriers (e.g., poverty, substance abuse, homelessness, mental illness) Stigma (e.g., racial/ethnic, gender) Mistrust of the healthcare system Unaware of importance of HIV Care Failures in Linkage and Retention in Care Limited access to treatment/waiting lists Limited treatment literacy Late and fear Initiation of side effects of ART Provider attitudes regarding ART initiation for some patients Inability to Achieve and Maintain Viral Suppression Limited access to effective antiretroviral treatment Barriers to adherence (e.g., substance use, homelessness, mental illness) Limited availability of adherence support

14 HIV Testing-Kenya (15-64 yrs) 2007 & 2012 KAIS Preliminary Findings 2012

15 Awareness of HIV Positive Status-- Kenya (15-64 yrs) 84% Unaware of HIV Infection 53% Unaware of HIV Infection 56% never tested 56% never tested for HIV 28% reported HIV negative 28% reported HIV-test 16% negative reported positive 16% never received test result 47% reported HIV positive 37% reported HIV negative Kais 2012

16 Number of HIV-infected MSM HIV Diagnosis, ART Coverage and Viral Suppression MSM in UK Diagnosed and treated Undiagnosed Diagnosed and untreated Viral load>1500 copies/ml % 27% 26% 28% 15% 31% 18% 17% 22% 20% 60% 49% 50% 55% 57% Year Brown et al. HIV Medicine 2013

17 Distribution of Viral Load among MSM UK Undiagnosed 62% (n=8700) Viral load <1500 copies/ml, 65% Viral load >1500 copies/ml % Untreated CD4 count <350 cells/μl 5% (n=700) Untreated CD4 count cells/μl 12% (n=1700) Untreated CD4 count >500 cells/μl 16% (n=2300) Treated 5% (n=700) Brown et al. HIV Medicine 2013

18 Lack of Awareness of HIV Infection: US MSM tested, by race/ethnicity 21 U.S. cities, 2008 Race/ethnicity Total Number HIV-infected and unaware Asian/Pacific Islander % Black, non-hispanic 1, % Hispanic 1, % White, non-hispanic 3, % Other % CDC. National HIV Behavioral Surveillance. MMWR 2011; 60:

19 Mean CD4+ Cell Count Over Time in Developed Countries N= 44 studies 500 CD4-307.Q+1.5 (year) Lesko et al Clin Infec Dis 2013

20 CD4 + Cell Counts at HIV Diagnosis US HIV Outpatient Study (HOPS), % 80% 60% 40% 20% 0% (n=213) (n=224) (n=207) (n=145) (n=147) < Buchacz K, Armon C, Palella F, et al. AIDS Research and Treatment, vol. 2012, 1-7.

21 Nationally representative sample of 18,169 adults (18-49 yrs)

22 Population CD4+ Count Distribution Swaziland Overall > 500 Not on ART >= % 13% 46% 19% 43% 19% 24% 25% Azih et al. CROI 2013

23 Median CD4+ Count and Late Enrollment in Care Over Time Median CD4 cell count at enrollment Percent late P trend < CD4<350 or WHO 3/4 Hoffman et al, CROI 2013

24 HIV Care Cascade in Sub Saharan Africa 29 studies included Tested HIV+ 100% CD4 Measurement 72% (95% CI 60-84) Eligible for ART 40% (95% CI 26-55) Start of ART 25% (95% CI 13-37) Of 100 HIV+ patients, on average, 25 started ART. Of ART-eligible patients 62% (95% CI %) started ART. Mugglin et al. CROI 2012,

25 8 health clinics 492 patients testing HIV+ from March-May 2009 Testing sites: ANC, VCT, TB, OPD Median age 29 years, median CD cells/ul 42% Enrolled within 90 days 85% assessed for ART eligibility 48% ART eligible 56% started ART Kaygamba et alplos One, May 2012

26 Retention in ART Programs 36 cohorts 226, 307 patients All losses except transfers Retention: 6 months: 86.1% 12 months: 80.2% 24 months: 76.8% 36 months: 72.3% Fox and Rosen, Trop Med Int Health 2010

27 Barriers to Care and Predictor of Attrition: Systematic Review Adapted Govindasamy et al. AIDS June 2012 Factor Predictor of Attrition Barrier to Care Economical Transport costs Distance Unable to make time (work) Food Shortage Patient time constraints Psycho-Social Stigma/fear of disclosure Fear of drug toxicities Perceived good health Health Systems Long clinic waiting times Poor service from HCWs Shortage of HCWs Inconvenient clinic hours

28 Proportion returning for CD4 Cell Count (%) Retention in HIV Care (pre-art) by Initial CD4+ Cell Count Male Overall CD CD CD4+ >500 CD4 Stratum (cells/mm 3 ) Adapted--Lessells et al, JAIDS 2011

29 LTF and mortality among pre-art adult patients at 41 facilities in Rwanda (N=31,027) Teasdale et al, CROI 2013 Loss to follow-up in Pre-ART patients Mortality in Pre-ART patients 6 months 12 months 24 months LTF 6.6% (95%CI ) 8.6% (95% CI ) 11.2% (95%CI ) Mortality 1.5% (95%CI ) 2.1% (95%CI ) 2.7% (95%CI )

30 Selected demographic and clinical characteristics and pre-art LTF (N=31,027) ashr* 95% CI Male sex Age Ref Single vs. married WHO Stage I 1 Ref. II III IV CD4+ count < >350 1 Ref. Teasdale et al, CROI 2013

31 LTF and mortality among adults on ART at 41 facilities in Rwanda (N=17,212) Teasdale et al, CROI 2013 Loss to follow-up in ART patients Mortality in ART patients 6 months 12 months 24 months LTF 1.9% (95%CI ) 2.9% (95%CI ) 4.4% (95%CI ) Mortality 3.4% (95%CI ) 4.7% (95%CI ) 6.3% (95%CI )

32 Selected demographic and clinical characteristics and LTF among adults on ART (N=17,212) adjusted hazard ratio from Cox proportional hazards risk models Teasdale et al, CROI 2013 Characteristic ahr 95% CI Male sex Age Ref Single vs. married CD4 count < >350 1 reference

33 Willingness to Initiate ART--SA 7287 adult patients HIV tested 2,562 (35%) HIV-infected 743 (29%) eligible for ART 148 (20%) refused referral to initiate ART, most (92%) refused again two months later Characteristics of those who refused: Median CD4+ count: 110 cells/mm 3 Factors associated with refusal: Single: AOR: 1.8 ( ) TB: AOR: 3.5 ( ) Most common reason for refusal was feeling well (35%) Katz et al AIDS 2011

34 HPTN 052: Reasons for Declining ART at 1 Year and 1.5 Years of Follow-up Reasons for Decline N = Jun 2012 (1 Year of Follow-up) [N (%)] N = Dec 2012 (1.5 Years of Follow-up) [N (%)] Believes CD4 is too high 58 (57%) 42 (58%) Not ready to begin ART (including) Feels healthy Doesn t want to take/commit to ART Fear of side effects Family problems Mentally unprepared Mobile lifestyle In denial 28 (28%) 20 (27%) Wants to discuss decision with family/friends 5 (5%) 3 (4%) Plans to begin at a later date 3 (3%) 2 (3%) Still deciding 1 (1%) 1 (1%) Other/unknown reasons (including) Lost-to-follow-up Religious belief Wants guaranteed drug supply after study Spouse did not allow 6 (6%) 5 (7%) Gamble et al, CROI 2013

35

36 Pooled percentage accepting testing Uptake of Community HIV Testing and Counseling 100% 80% 60% 40% 20% 0% Index N=12,052 Self N=1,839 Mobile N=79,475 Door-to-door N=555,267 Workplace N=62,406 School N=2,593 Suthar et al PLoS 2013

37 1. Jani et al. Lancet Faal et al. JAIDS Gardner et al. AIDS Emenyonu et al. CROI Kurth et al.. Curr HIV/AIDS Rep Merson et al. Lancet Piot et al. Lancet Van Rooyan CROI 2012 Novel Approaches for Linkage & Retention Novel Interventions: POC CD4 1-2, case manager 3, SMS, care bags, financial/transport incentive 4 Need for combination interventions: Use of multiple biomedical, structural and psychosocial barriers to testing and care

38 STAR STUDY

39 HIV Continuum Test Engage, Counsel, Monitor, and Support Retain, Counsel, Monitor, and Support Adherence and Viral Suppression Link ART Eligible McNairy et al, AIDS 2012

40 W H A T?

41 Efficacy to Effectiveness

42 Percent New Infections Contribution by Key Populations to the HIV Epidemic 100% 80% 60% Other Sex Work IDU 40% 20% 0% Lesotho Kenya Swaziland Uganda Zambia Prisons MSM Multiple Partners Stable heterosexual Couples Proportion of new infections by group UNAIDS, 2010

43 Number diagnosed per year Number on ART per year Proportion with VL<400 copies Incidence/100 py Condomless sex Scenario Mean Incidence /100pyr Actual No ART % % difference Versus actual No condoms % ART at diagnosis % Higher test rate % Higher test rate & ART at diagnosis % Phillips et al. PLOS One, 2013

44 Discordancy between Plasma and Seminal HIV Levels Politch et al. AIDS 2012

45 Proportion of New Infections Caused by Early Infections Proportion of New Infections Caused by Early Infections Pinkerton and Abramson, 1996 Kretzschmar and Dietz, Hayes and White, 2006 Salomon and Hogan, 2008 Powers et al., 2010 Jacquez et al., 1994 Koopman et al., 1997 Xiridou et al., Abu-Raddad and Longini, 2008 Sub-Saharan Africa (heterosexuals) Hollingsw orth et al., 2008 Pinkerton, 2007 Prabhu et al., 2009 U.S. (heterosexual or MSM) U.S. (MSM) Europe (MSM) Population Cohen et al. NEJM 2011

46 Studies in Key Populations PARTNER Study (MSM) International, observational multi-center study in 75 European sites from 2010 to 2014 (Phase 1) and (Phase 2) Sero-different MSM partnerships (+ve partner on ART) who had condomless penetrative sex in the past 4 weeks in order to study: risk of HIV transmission to partners, in partnerships that do not use condoms consistently and the HIV- positive partner on ART with viral load < 50 copies/ml Reasons for lack of condom use and adoption of consistent condom use HPTN 074 Vanguard study Network-based randomized trial PWID and partners Integrated treatment and prevention Facilitated ART Substance use treatment Behavioral counseling Sites under consideration: Eastern Europe and Asia > 1000 couples enrolled so far

47 Botswana- CDC SEARCH Study HPTN 071 (PopART) NIH HPTN 065 TASP- Africa Centre ANRS Combination Prevention Bukoba CDC

48

49 Discovery Implementation Scale-Up

50 ART for Prevention is a Multi-component Integrated Strategy or Prevention and Treatment McNairy et al. Curr HIV/AIDS Rep 2013

51 Conclusions Access Acceptability Quality Coverage Effectiveness

52 Thank you

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