Acute HIV Infection: New Frontiers for HIV Prevention

1. Acute HIV Infection: New Frontiers for HIV Prevention Antonio E. Urbina, MD Medical Director HIV Education and Training St. Vincent Catholic Medical Center-Manhattan May 17, 2006 St. Vincent Catholic Medical Center is a Local Performance Site of the NY/NJ AETC

2. Lifetime Cost of HIV Care in the US in the Current Treatment Era $500,000 B R Schackman, et al Abstract, 3rd IAS Conference

3. HIV Incidence Since 1999, HIV infections have remained steady at 40-45,000/year CDC HIV/AIDS Surveillance Report

4. 12% of US population CDC HIV/AIDS Surveillance Report 2003

7. Prevention vs. Treatment • Structure of US health system favors treatment over prevention • Access to healthcare is tied to labor market and not citizenship • Our for-profit health system favors treatment over prevention • More profits are generated when people are ill as opposed to when they are well

8. Improve HIV Detection • Normalize HIV Testing • outpatient and inpatient settings • Increase detection of persons in acute HIV infection (AHI) • Use pooled plasma viral load testing (PPLVT) in high risk settings, i.e. STD clinics

9. Leone P UNC

10. Primary HIV-1 InfectionAcute + Recent (4-6 months) 1000 800 600 400 200 0 Early Opportunistic Infections CD4Cells + Late Opportunistic Infections 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Infection Time in Years Leone P UNC

11. Days from sexual exposure to onset of symptoms in 12 patients who could identify the exact date and time of the sexual exposure that led to acquisition of human immunodeficiency virus Schacker, T. et. al. Ann Intern Med 1996;125:257-264

12. Detection of HIV by Diagnostic Tests Symptoms p24 Antigen HIV RNA HIV EIA* Western blot 0 1 2 3 4 5 6 7 8 9 10 Weeks Since Infection *3rd generation, IgM-sensitive EIA *2nd generation EIA *viral lysate EIA After Fiebig et al, AIDS 2003; 17(13):1871-9

13. Acute HIV Infection(www.hivguidelines.org)

15. How effective are we at capturing AHI?

16. Acute HIV Infection (AHI) • Nearly 60 million individuals diagnosed with HIV, fewer than 1,000 cases have been diagnosed in AHI [1] • 1/60,000 detection rate • In NYC, fewer than 20 cases of AHI have been diagnosed [2] [1] Pilcher, et al AIDS 2004 [2] NYC DOH STARHS Program

19. Why so lax in diagnosing AHI? • 1. Treatment and diagnosis of HIV infection has been relegated to specialists • Lack of education of how to diagnose AHI • Discomfort related to difficult issues surrounding HIV • 2. Clinicians inability to spend the additional time Flanigan T, et al Annals of Int Med 2001

20. AHI • 1% of patients with negative tests for EBV had AHI [1] • 1% of patients with “any viral syndrome” in a Boston urgent care center had AHI [2] • In a Malawi STD clinic, 2.8% of all male clients with acute STD had AHI [3] [1] Rosenberg, et al N Engl J Med 1999 [2] Pincus, et al Clin Infect Dis 2003 [3] Pilcher, et al AIDS 2004

21. Clinical Presentation of HIV Seroconversion* Schacker, T. et. al. Ann Intern Med 1996;125:257-264

23. How do you diagnose?

24. ICD-9 Code for AHI(exposure to HIV) VO1.7

26. AHI and Hyperinfectiousness • Growing evidence that persons in AHI are very infectious • High-titer viremia in plasma and genital fluids [1,2] • Absence of immune factors that may neutralize infectivity [2] Kahn JO, et al N Engl J Med 1998 Quinn TC, et al N Engl J Med 2000

27. AHI and Sexual Risk Behavior MSM seroconverters from HIVNet Vaccine Trial Colfax, G et al AIDS 2002

28. Role of AHI in Secondary Transmissions • Koopman [1] and Jacquez [2] used population modeling to argue that the spread of HIV from patients in AHI could contribute disproportionately to the epidemic • suggested that patients in AHI could be up to 1,000 x more infectious than those in chronic infection Koopman JS, et al J Acquir Immune Defic Synd Hum Retrovirol 1997 Jacquez JA, et al J Acquir Immune Defic Syndr 1994

29. 0 100 200 300 Blood viral load in acute HIV (n=171)Average fitted curve, with 95% confidence intervals log 10 HIV RNA 8 7 6 5 4 3 2 1 8-10 fold increase risk from peak to day 54 0 Days from Infection Peak: day 23 Pilcher, et al JID 2004

30. Semen viral load in acute HIV (n=30) log 10 HIV RNA 7 6 5 4 3 2 1 0 0 10 20 30 40 50 60 70 80 90 100 Days from Infection Pilcher, et al JID 2004

31. Rates of HIV-1 Transmission per Coital Act, by Stage of HIV-1 Infection, in Rakai, Uganda • Retrospectively identified 235 monogamous, HIV-discordant couples in Ugandan population-based cohort from 1994-1999 • Estimated rates of HIV transmission per coital act in HIV discordant couples by stage of infection in the index partner • Recent seroconversion vs. chronic vs. late stage • HIV transmission within pairs was confirmed by sequence analysis Wawer, et al JID, 2005

32. Wawer, et al JID, 2005

33. Transmission Of HIV During AHI: Relationship To Sexual Risk And STI • 103 individuals with AHI were followed from 1999-2003 • Viruses from 34% were related • Significant associations with clustering were: • Young age • High CD4 count • Number of sexual partners • UAI • STIs Pao P et al AIDS 2005

34. Clustering: efficient dissemination by core groups and identification of networks Identification of network “Efficient disseminator” Identification via PHI “Acute Case”

35. Why isn’t individual viral load testing incorporated into HIV Testing? • Direct HIV detection methods (RNA testing) are expensive—5 to10 x more than Ab tests • Cost range from $60-$290 • Decreased specificity • False positives • Typically viral loads <5000 are FP • Pooling specimens improves specificity and greatly reduces cost

36. Pooling schema Individual specimens Pools of 10

37. Pooling schema A B C D E F G H I J K Individual specimens N=100 Pools of 10 A B C D E F G H I J K

38. Pooling schema A B C D E F G H I J K Individual specimens N=100 Pools of 10 A B C D E F G H I J K Master pool

39. Resolution Testing A Individual testing on 10 specimens Pools of 10 screened A B C D E Master pools screened

40. Detection of AHI during HIV Testing in North Carolina • 12 month observational study to evaluate this strategy for HIV testing at 110 publicly funded sites in NC • Primary objective was to compare the performance and yield of standard AB testing with algorithm that included both standard AB testing and PPVLT Pilcher, et al NEngl J Med 2005

41. Performance of Algorithm • Sensitivity for standard AB testing (sAb) was 0.962 • Use of PPLVT increased rate of HIV case identification by 3.9% over that sAB • Specificity and positive predictive value (PPV) of combined testing (Ab + PPVLT) with pooling was 0.999 and 0.997

42. 6% in AHI

43. Interventions Targeting Acute Infection • All subjects (n=23) with AHI were notified (within 72 hours after test results) • No adverse events were reported (e.g., psychological trauma, violence against or from partners, etc) • 21/23 subjects with AHI began specialty medical care, including 1 pregnant woman who received ARVS (baby was negative) Pilcher, et al NEngl J Med 2005

44. Interventions Targeting Acute Infection • 48 sexual partners of subjects with AHI received counseling for risk reduction • 18 of these (38%) had HIV infection • 13 (27%) previously recognized • 5 (10 %) newly diagnosed • 11 were probably the source of the AHI • 10 were aware of their status, but only 3 disclosed to partners • 3 of possible transmitters had been named in surveillance records as potential source of infection in 3 other cases suggesting roles as “core transmitters” Pilcher, et al NEngl J Med 2005

45. Social Networks and Risk Association • Designated case managers collected data on social networks of acutely infected subjects • 4 were college students; 2 in one town were identified within 1 month of each other • Revealed a new HIV outbreak among young black MSMs in these colleges Pilcher, et al NEngl J Med 2005

46. Costs • PPLVT added an additional $3.63 per specimen and $17,515 per additional index case identified • Added only 3.3% increase over annual budget Pilcher, et al NEngl J Med 2005

48. Thanks • Frederick Siegal, MD • Barbara Johnston, MD • Paul Galatowitsch, PhD • All staff at the HIV Center