Acute HIV Infection: New Frontiers for HIV Prevention

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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

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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. - PowerPoint PPT Presentation

Transcript of Acute HIV Infection: New Frontiers for HIV Prevention

Page 1: Acute HIV Infection:  New Frontiers for HIV Prevention

Acute HIV Infection: New Frontiers for HIV Prevention

Antonio E. Urbina, MDMedical Director HIV Education and Training

St. Vincent Catholic Medical Center-ManhattanMay 17, 2006

St. Vincent Catholic Medical Center is a

Local Performance Site of the NY/NJ AETC

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Lifetime Cost of HIV Care in the US in the Current Treatment Era

$500,000

B R Schackman, et al Abstract, 3rd IAS Conference

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HIV Incidence

Since 1999, HIV infections have remained steady at 40-45,000/year

CDC HIV/AIDS Surveillance Report

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CDC HIV/AIDS Surveillance Report 2003

12% of US population

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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

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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

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Leone P UNC

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Primary HIV-1 InfectionAcute + Recent (4-6 months)

Time in YearsInfection

CD4Cells

1000

800

600

400

200

0

Early Opportunistic Infections

Late Opportunistic Infections+

1 2 3 4 5 6 7 8 9 10 11 12 13 14

Leone P UNC

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Schacker, T. et. al. Ann Intern Med 1996;125:257-264

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

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Detection of HIV by Diagnostic Tests

0 1 2 3 4 5 6 7 8 9 10

Symptoms

p24 Antigen

HIV RNA

HIV EIA*

Western blot

Weeks Since Infection

*3rd generation, IgM-sensitive EIA

After Fiebig et al, AIDS 2003; 17(13):1871-9

*2nd generation EIA*viral lysate EIA

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Acute HIV Infection(www.hivguidelines.org)

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How effective are we at capturing AHI?

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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

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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

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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

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Schacker, T. et. al. Ann Intern Med 1996;125:257-264

Clinical Presentation of HIV Seroconversion*

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How do you diagnose?

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ICD-9 Code for AHI(exposure to HIV)

VO1.7

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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

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AHI and Sexual Risk Behavior

Colfax, G et al AIDS 2002

MSM seroconverters from HIVNet Vaccine Trial

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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

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012345678

3002001000

log

10 H

IV R

NA

Days from Infection

Blood viral load in acute HIV (n=171) Average fitted curve, with 95% confidence intervals

Peak: day 23 Pilcher, et al JID 2004

8-10 fold increase risk from peak to day 54

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1009080706050403020100

7

6

5

4

3

2

10

log

10 H

IV R

NA

Days from Infection

Semen viral load in acute HIV (n=30)

Pilcher, et al JID 2004

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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

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Wawer, et al JID, 2005

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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

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“Acute Case”

“Efficient disseminator”

Clustering: efficient dissemination by core groups and identification of

networks

Identification via PHI

Identification of network

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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

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Individual specimens

Pools of 10

Pooling schema

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A B C D E

Pooling schema

A B C D E

Individual specimens

N=100

Pools of 10

F G H I J K

F G H I J K

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Master pool

Pooling schema

Individual specimens

N=100

Pools of 10

A B C D E

A B C D E

F G H I J K

F G H I J K

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A

Individual testing on 10 specimens

Pools of 10 screened

Master pools screened

Resolution Testing

A B C D E

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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

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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

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6% in AHI

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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

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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

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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

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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

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Thanks

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