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08/02/2011 1 Andrea Gori Andrea Gori U.O. Malattie Infettive U.O. Malattie Infettive Azienda Ospedaliera Azienda Ospedaliera “San Gerardo San Gerardo” Università Milano Università Milano-Bicocca Bicocca - Monza Monza [email protected] [email protected] HIV/AIDS: recenti acquisizioni HIV/AIDS: recenti acquisizioni in terapia antiretrovirale in terapia antiretrovirale

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Andrea GoriAndrea GoriU.O. Malattie Infettive U.O. Malattie Infettive Azienda Ospedaliera Azienda Ospedaliera ““San GerardoSan Gerardo””Università MilanoUniversità Milano--Bicocca Bicocca -- [email protected] [email protected]

HIV/AIDS: recenti acquisizioni HIV/AIDS: recenti acquisizioni in terapia antiretroviralein terapia antiretrovirale

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Vancouver 1996…una cura è possibile!!Vancouver 1996…una cura è possibile!!

History of antiretroviral therapy

Number of pills/dose

TID

BID

QD

1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006

Ritonavir

SQV-sg

AZT+3TC

ABC

NFV fos-APV/rNVP

T203TC

NFV

IDV

ddC LPV/r

EFVddI

SQV-hg/r

APV/r

RTVd4TAZTAZT

AZT+3TC+ABC

HOPE EFFICACY CARE

NRTI NNRTI PI Fusion Inhibitors

www.fda.gov

ddI EC

TDF

3TC

EFV

FTC

ATV/r

3TC+ABC

FTC+TDF

tpv

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The ARV Pipeline: 2007–2010

Protease Inhibitors

NNRTIs

NRTIs

Maturation inhibitor

Integrase inhibitors

Entry inhibitors

Note: Estimated earliest US launch dates

All dates are subject to adjustment

*Expanded Access Program (EAP)Available

•2009 •2010

PRO 140Progenics

BILR 355BI

MAb004HGS

RacivirPharmasset

GS9148Gilead

DOTEmory

•2007

Maraviroc* Pfizer

Etravirine*Tibotec

MK0518*Merck

•2008

PA 457Panacos

GS9137Gilead

SPD 754Avexa

TNX355T

anoxVicrivirocSchering

ElvucitabineAchillion

TMC278Tibotec

The Guidelines : An evolving matter

• When to start ?

• Which first line drugs ?

• When and How to switch ?

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Recommendations from guidelines todayRecommendations from guidelines today

Clinical Category

CD4cells/mm3

HIV RNA copies/mL

BHIVA2 DHHS 093

AIDS-defining or symptoms

Any value Any value Treat Treat

Asymptomatic <200 Any value Treat Treat

Asymptomatic 200–350 Any valueTreat as soon as possible when patient ready

Offer treatment

Asymptomatic 350–500Any value Individual

basis* Offer treatment

Asymptomatic >500 Any value

Consider enrolment into ‘when to start’

trial*

Panel were

divided

50/50

http://www.sm.ee/fileadmin/meedia/Dokumendid/Tervisevaldkond/Tervishoid/Ravijuhis_HIV.pdf. 2. Gazzard B et al. HIV Medicine 2008; 9:563–608; 3. DHHS Guidelines 2008. http://www.aidsinfo.nih.gov/ContentFiles/AdultandAdolescentGL.pdf.

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DHHS Guidelines 2010: When to StartDHHS Guidelines 2010: When to Start

Asymptomatic Infection Recommendation

• CD4+ cell count < 350 cells/mm3 • Start HAART

• CD4+ cell count 350-500 cells/mm3 • Start HAART

• CD4+ cell count > 500 cells/mm3 • Panel divided

Clinical Conditions Favoring Initiation of Therapy Regardless of CD4+ Cell Count

• History of AIDS-defining illness• Certain acute opportunistic infections• Pregnancy• HIVAN• HBV coinfection when HBV treatment is indicated• CD4+ count decline > 100 cells/mm3/yr• HIV-1 RNA > 100,000 copies/mL • Serodiscordant relationships

DHHS Guidelines. December 1, 2009.

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Female sex 1.2 .117

NANA--ACCORD: Survival Benefit of Earlier ACCORD: Survival Benefit of Earlier HAART by Baseline FactorHAART by Baseline Factor

Parameter Associated With Risk of Death*

Relative Hazard† (95% CI)

1.0 2.50.1

P Value

Deferral of HAART until < 500 cells/mm3

(vs starting at ≥ 500 cells/mm3)1.6 < .001

Older age (per 10 yrs) 1.6 < .001

Baseline CD4+ cell count (per 100 cells/mm3 increase)

1.0 .696

*All causes of death unspecified. †Stratified by cohort and calendar year.

Kitahata MM, et al. CROI 2009. Abstract 71.

SMART Trial: SMART Trial: Drug conservation vs viral suppressionDrug conservation vs viral suppression

SMART Study Group, NEJM 2006

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SMART: Immediate Therapy Reduces SMART: Immediate Therapy Reduces Risk of OD, Serious NonRisk of OD, Serious Non--AIDS EventsAIDS Events

Event, n (Rate per 100 Person-Yrs)

Deferred Arm

(n = 228)

Immediate Arm

(n = 249)

HR (DC/VS)

95% CI P Value

OD/death 15 (4.8) 5 (1.3) 3.5 1.3-9.6 .02

OD only 11 (3.5) 4 (1.1) 3.3 1.0-10.3 .04

Serious non-AIDS events

12 (3.9) 2 (0.5) 7.0 1.6-31.4 .01

Composite* 21 (7.0) 6 (1.6) 4.2 1.7-10.4 .002

◼◼ Immediate group experienced substantially fewer Immediate group experienced substantially fewer events compared with deferred groupevents compared with deferred group

–– Excess risk associated with deferring therapy: Excess risk associated with deferring therapy: 5.4 events/100 person5.4 events/100 person--yrsyrs

*Fatal and nonfatal OD plus serious non-AIDS events.Emery S, et al. J Infect Dis. 2008;197:1133-1144.

Data From Antiretroviral Therapy

Cohort Collaboration (ART-CC)Delaying ART to a CD4 count < 350 (but not < 375) cells/mm3 is

associated with an increased risk of AIDS or death

4

Haz

ard R

atio

for A

IDS

or

Dea

th W

ith 9

5% C

I

2

0.5

1

500 400 300 200 100 0

CD4 Threshold (cells/mm3)

Comparison

Hazard Ratio

(95% CI)*

276–375 vs 376–

4751.19 (0.96 to 1.47)

251–350 vs 351–

4501.28 (1.04 to 1.57)

226–325 vs 326–

4251.21 (1.01 to 1.46)

*Adjusted for lead times and unseen events

Sterne J, et al. Lancet. 2009;373:1352-1363.

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Many nonMany non--AIDS events appear to be AIDS events appear to be higher in HIV patients than controlshigher in HIV patients than controls

�� Cardiovascular diseaseCardiovascular disease[1[1--4]4]

�� Cancer (nonCancer (non--AIDS)AIDS)

�� Bone fractures/osteopenia Bone fractures/osteopenia [5,6][5,6]

�� Left ventricular dysfunctionLeft ventricular dysfunction

�� Liver failureLiver failure[7][7]

�� Kidney failureKidney failure

�� Cognitive decline (controversial)Cognitive decline (controversial)[8][8]

�� FrailtyFrailty[9][9]

1. Klein D, et al. J Acquir Immune Defic Syndr. 2002;30:4711. Klein D, et al. J Acquir Immune Defic Syndr. 2002;30:471--477. 2. Hsue P, et al. Circulation. 2004;109:316477. 2. Hsue P, et al. Circulation. 2004;109:316--319. 3. Mary319. 3. Mary--KrausKraus

M, et al. AIDS. 2003;17:2479M, et al. AIDS. 2003;17:2479--2486. 4. Grinspoon SK, et al. 2486. 4. Grinspoon SK, et al. Circulation. 2008;118:198Circulation. 2008;118:198--210. 5. Triant V, et al. 210. 5. Triant V, et al. J Clin Endocrinol J Clin Endocrinol

Metab. 2008;93:3499Metab. 2008;93:3499--3504. 6. Arnsten JH, et al. 3504. 6. Arnsten JH, et al. AIDS. 2007 ;21:617AIDS. 2007 ;21:617--623. 623. 7. Odden MC, et al. Arch Intern Med. 2007;167:22137. Odden MC, et al. Arch Intern Med. 2007;167:2213--

2219. 8. McCutchan JA, et a. AIDS. 2007 ;21:11092219. 8. McCutchan JA, et a. AIDS. 2007 ;21:1109--1117. 9. Desquilbet L, et al. J Gerontol A Biol Sci Med Sci. 2007;62:12791117. 9. Desquilbet L, et al. J Gerontol A Biol Sci Med Sci. 2007;62:1279--

12861286

Impact of Current CD4+ on NonImpact of Current CD4+ on Non--AIDSAIDS––Defining Cancer RiskDefining Cancer Risk

�� Retrospective database analysis of 19,280 HIVRetrospective database analysis of 19,280 HIV--infected infected patients; 202,313 HIVpatients; 202,313 HIV--uninfected patientsuninfected patients

Silverberg M, et al. CROI 2010. Abstract 28. Table reproduced with permission.

Adjusted HR* HIV Infected CD4+ Cell Count, cells/mm3

< 200 201-499 ≥ 500 P Value

Any infection related 12.8† 5.9† 3.2† < .001

Anal 164.2† 83.1† 34.2† < .001

Hodgkin’s lymphoma 55.0† 11.0† 11.6† < .001

Oral/pharyngeal 3.1† 1.9‡ 0.8 .030

Any infection unrelated 1.8† 1.2 1.1 .002

Lung 2.1‡ 1.0 1.2 .083

Colorectal 2.2‡ 1.0 0.9 .050

*Adjusted for age, sex, smoking, overweight, alcohol/drug abuse, viral hepatitis; reference = uninfected cohort. †P < .001 relative to uninfected. ‡P < .05 relative to uninfected.

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Potential Benefits of Early TherapyPotential Benefits of Early Therapy(CD4 count >500 cells/µL) (CD4 count >500 cells/µL)

�� Potential decrease in risk of many complications, including:Potential decrease in risk of many complications, including:

–– HIVHIV--associated nephropathyassociated nephropathy

–– Liver Liver dieasediease progression from hepatitis B or hepatitis Cprogression from hepatitis B or hepatitis C

–– Cardiovascular diseaseCardiovascular disease

–– Malignancies (AIDS defining and nonMalignancies (AIDS defining and non--AIDS defining)AIDS defining)

–– Neurocognitive declineNeurocognitive decline

–– Blunted immunological response due to ART initiation at older ageBlunted immunological response due to ART initiation at older age

–– Persistent TPersistent T--cell activation and inflammationcell activation and inflammation

�� Prevention of sexual and bloodborne transmission of HIVPrevention of sexual and bloodborne transmission of HIV

−− Studies of heterosexual discordant couples observed no transmission Studies of heterosexual discordant couples observed no transmission in patients treated with ART and with viral load below 400 copies/mL, in patients treated with ART and with viral load below 400 copies/mL, but data were compatible with one transmission per 79 personbut data were compatible with one transmission per 79 person--yearsyears

�� Prevention of motherPrevention of mother--toto--child transmission of HIVchild transmission of HIV

Many nonMany non--AIDS events appear to be AIDS events appear to be higher in HIV patients than controlshigher in HIV patients than controls

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The age of the epidemic in the US is The age of the epidemic in the US is increasingincreasing

Effros RB, et al. Clin Infect Dis. 2008;47:542-553.

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Time

Ris

k o

f H

IV r

ela

ted

co

mp

lica

tio

ns

Age

Ethnicity

Family history

HIV infection

HIV RNA ↑CD4 cells ↓

HIVAN

HAART

Metabolicdisturbances(Diabetes,

hypertension)

NephrotoxicARV

AIDS

Nephrotoxicdrugs to treat

OIs

Un-modifiable

Hypothetical acquisition of risk of HIVHypothetical acquisition of risk of HIV--related related dysfunsionsdysfunsions

CNICS: ~ 40% of patients with a nadir CNICS: ~ 40% of patients with a nadir CD4 < 200 fail to achieve a normal CD4+ CD4 < 200 fail to achieve a normal CD4+

Kelley CF, et al. Clin Infect Dis 2009;48:787Kelley CF, et al. Clin Infect Dis 2009;48:787--794794..

00 11 22 33 44 55 66 77 88 99 1010 111100

500500

10001000

15001500

Year of suppressive HAARTYear of suppressive HAART

CD

4+

T c

ell c

ou

nt

CD

4+

T c

ell c

ou

nt

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Suboptimal CD4 T Cell Gains Are Common Suboptimal CD4 T Cell Gains Are Common Among Patients Who Initiate HAART LateAmong Patients Who Initiate HAART Late

Gras L, et al. J Acquir Immun Defic Syndr. 2007;45:183Gras L, et al. J Acquir Immun Defic Syndr. 2007;45:183--192.192.

CD

4 C

ell

Co

un

t (c

ell

s/m

mC

D4 C

ell

Co

un

t (c

ell

s/m

m33))

00 4848 9696 144144 192192 240240 288288 36636600

100100

200200

300300

400400

500500

600600

700700

800800

900900

10001000

WeekWeek

>500>500

350 350 –– 500500

200 200 –– 350350

50 50 –– 200200

<50<50

Baseline CD4Baseline CD4(cells/mm(cells/mm33))

~50% of those with CD4 nadir ~50% of those with CD4 nadir

<200 fail to reach 500 after 7 <200 fail to reach 500 after 7

years VL suppressionyears VL suppression

Likelihood of Achieving Normal CD4+ Likelihood of Achieving Normal CD4+ Cell Count on ART Depends on BL LevelCell Count on ART Depends on BL Level

1. Moore RD, et al. Clin Infect Dis. 2007;44:441-446. Published by The University of Chicago Press. Copyright ©2009.

University of Chicago Press. All rights reserved. http://www.journals.uchicago.edu/toc/cid/current.2. Gras L, et al. J Acquir Immune Defic Syndr. 2007;45:183-192. Reproduced with permission.

ATHENA National Cohort[2]Johns Hopkins HIV Clinical Cohort[1]

Yrs on HAART

Med

ian

CD

4+

Cell

C

ou

nt

(cell

s/m

m3)

1000

BL CD4+ Cell Count

0 48 96 144 192 240 288 336

Wks From Starting HAART

200

400

600

800

0

1000

> 500351-500

201-35051-200< 50

BL CD4+ Cell Count200

400

600

800

00

1 2 3 4 5

> 350

< 200201-350

6

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CD4 count at start of HAART (2003CD4 count at start of HAART (2003--2005)2005)

Egger M, et al. CROI 2007. Abstract 62.Egger M, et al. CROI 2007. Abstract 62.

Since 2000, CD4+ cell count at initiation has increased in Sub-Saharan Africa from 50 to 100 cells/mm3; in developed countries it has remained ~150–200 cells/mm3

Hey Doc, Hey Doc, …w…what about hat about my life spanmy life span??

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Phillips A . CROI 2008. Abstract 8.Phillips A . CROI 2008. Abstract 8.

Risk of death due to NonRisk of death due to Non--AIDS AIDS causes is predicted by CD4 on causes is predicted by CD4 on therapytherapy

Rate

/ 1

00 P

Y (

95%

Cl)

Rate

/ 1

00 P

Y (

95%

Cl)

1.61.6

1.21.2

0.80.8

0.40.4

0.00.0

≥500 ≥500 200200––

350350

0.00.0

1.61.6

1.21.2

0.80.8

0.40.4

350350––

500500

CASCADE CASCADE

D:A:D D:A:D

Low CD4 Low CD4 on therapyon therapy predicts risk of AIDS predicts risk of AIDS and more importantly of nonand more importantly of non--AIDS eventsAIDS events

Re

lati

ve

Ris

kR

ela

tive

Ris

k

>500>500

1.01.0

1010

HIV/AIDSHIV/AIDS

CancerCancer

HeartHeart

LiverLiver

<50<50 5050––9999 100100––199199 200200––349349 350350––499499

100100

CD4+ Cells/mmCD4+ Cells/mm33

Weber R, et al. CROI 2005. Abstract 595.Weber R, et al. CROI 2005. Abstract 595.

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HIVHIV--patients do not have a normal life span, patients do not have a normal life span, particularly those with a low CD4 nadirparticularly those with a low CD4 nadir

< 100< 100 100100--200200 >200>200

Life expectancy, years Life expectancy, years

(at age 20)(at age 20)

3232 4242 5050

CD4 NadirCD4 Nadir

ARTART--Cohort Collaboration. Lancet. 2008;372:293Cohort Collaboration. Lancet. 2008;372:293--299299

Depending on when HAART is started, life expectancy Depending on when HAART is started, life expectancy

during modern HAART era is 10 to 30 years less than that during modern HAART era is 10 to 30 years less than that in uninfected patientsin uninfected patients

Earlier Treatment Initiation Earlier Treatment Initiation Requires Earlier DiagnosisRequires Earlier Diagnosis

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The Problem of Late DiagnosisThe Problem of Late Diagnosis

�� CD4+ cell counts typically low among treatmentCD4+ cell counts typically low among treatment--naive naive

patients first presenting for HIV carepatients first presenting for HIV care

Moore RD, et al. CROI 2008. Abstract 805. Graphic reproduced with permission.

0

100

200

300

400

500

CD

4+

Ce

ll C

ou

nt

(ce

lls

/mm

3)

Calendar Year

September 22, 2006, Recommendations September 22, 2006, Recommendations From CDC: Routine Testing for HIVFrom CDC: Routine Testing for HIV--11

• Routine voluntary testing for patients aged 13-64 yrs in healthcare settings—not based on patient risk

• Opt-out testing

• No separate consent for HIV

• Pretest counseling not required

• Repeat HIV testing at discretion of provider, based on patient risk

Branson BM, et al. MMWR Recomm Rep. 2006;55(RR-14):1-17.

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187

100

180

200

19

87-97 > 200

160

130

180

100-125

12085

100 55 95

Egger M, et al. CROI 2007. Abstract 62.

� Review of data from 2003-2005 from 176 sites in 42 countries

� Since 2000, CD4+ cell count at initiation in developed countries stable at approximately 150-200 cells/mm3, increasing in sub-Saharan Africa from 50-100 cells/mm3

When Is Antiretroviral Therapy When Is Antiretroviral Therapy Started?Started?

Barriers to HIV Testing Cited by US Barriers to HIV Testing Cited by US Physicians Physicians

Burke RC, et al. AIDS. 2007;21(12):1617-1624. Why don't physicians test for HIV? A review of the US literature.

� Testing not available in emergency department

� Administrative barriers

� Rarely think about offering test

� Patient should request test

� Patient confidentiality concerns

� Posttest counseling requirements

� Cultural barriers

� Concern about patient follow-up

� Lack of HIV-related referral networks

� Not appropriate for provider to test

Emergency Department

� Lack of trust/relationship with patient

� Lack of knowledge regarding sexual orientation

� HIV/STDs not an issue among my patients

� HIV risk factors don’t relate to the care I provide

� Lack of institutional policies that encourage testing

� Lack of outreach to adolescents

� Low-risk patient population

� Fear/concern of offending the patient

� Informing an HIV-infected patient

� Institutional costs

� Treating an HIV-infected patient� Late entry into prenatal care� Lack of resources� Not current ACOG policy� Lack of education

materials� Low prevalence� Physician resistance

or ignorance� Risk of social

stigmatization and discrimination

� Deciding whom to test

� Not standard of care

� Risk of personal infection

� Process islogistically difficult

� Insufficient time

� Consent process

� Lack of knowledge/training

� Language

� Pretest counseling requirements

� Competing priorities

� Inadequate reimbursement

Prenatal Care

Other Medical

Settings

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Scope of the Problem: Burden of HIV Scope of the Problem: Burden of HIV Infection in the United StatesInfection in the United States

Marks G, et al. AIDS. 2006;20:1447-1450. Campsmith ML, et al. J Acquir Immune Defic Syndr. 2010;53:619-624.

0

20

40

60

80

100

Pers

on

s (

%)

People LivingWith HIV/AIDS

1,039,000-1,185,000

New SexualInfections Each Yr

~ 32,000

~ 25%unaware

of infection

~ 75%aware of infection

~ 54%of new

infections

~ 46% of new

infections

Accounting for:

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Division of Infectious Diseases, Division of Infectious Diseases, ““L. SaccoL. Sacco”” Hospital, Hospital, Milan, Italy,Milan, Italy,Stefania PiconiStefania PiconiPaolo BonfantiPaolo BonfantiGiuliano RizzardiniGiuliano Rizzardini

Chair of Immunology University of Chair of Immunology University of Milan, Milan, ItalyMilan, Milan, ItalyDaria TrabattoniDaria TrabattoniMara BiasinMara BiasinMario (Mago) ClericiMario (Mago) Clerici

Department of Prevention,Department of Prevention,

UO MTS, ASL Monza e UO MTS, ASL Monza e Brianza,Monza,ItalyBrianza,Monza,Italy

Laura CorsicoLaura CorsicoGiuseppina MarconiGiuseppina MarconiGiovanni FioniGiovanni Fioni

Clinic of Infectious Diseases, Clinic of Infectious Diseases, ““San San PaoloPaolo”” Hospital, University of MilanHospital, University of MilanMilan, ItalyMilan, ItalyGiulia Marchetti Giulia Marchetti Camilla TincatiCamilla TincatiAntonella dAntonella d’’Arminio MonforteArminio Monforte

Division of Infectious Diseases, Division of Infectious Diseases, ““San GerardoSan Gerardo”” Hospital, Hospital, University MilanUniversity Milan--BicoccaBicoccaMonza, ItalyMonza, ItalyAlessanda BanderaAlessanda BanderaFrancesca SabbatiniFrancesca SabbatiniAlessandro SoriaAlessandro SoriaNicola SquillaceNicola SquillaceMonica AiroldiMonica AiroldiGiuseppe LapadulaGiuseppe LapadulaAntonio MuscatelloAntonio MuscatelloMarzia FiorinoMarzia FiorinoEleonora BerettaEleonora Beretta

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Benefits and Risks of Earlier Benefits and Risks of Earlier Initiation of Antiretroviral TherapyInitiation of Antiretroviral Therapy

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Why do T cells remain low Why do T cells remain low despite effective HAART?despite effective HAART?Why do T cells remain low Why do T cells remain low despite effective HAART?despite effective HAART?

ImmunoreconstitutionImmunoreconstitution

■■ Residual HIV replication Residual HIV replication

■■ Persistent high level T cell activation even during Persistent high level T cell activation even during

HAARTHAART

■■ Accellerated turnover and immunologic exhaustionAccellerated turnover and immunologic exhaustion

■■ T cell dysfunction, proliferation defects, loss of T cell dysfunction, proliferation defects, loss of

thymusthymus

■■ High prevalence and burnen of other coHigh prevalence and burnen of other co--infections infections

■■ Persistent microbial translocationPersistent microbial translocation

Mechanisms associated to the Mechanisms associated to the persistence of low CD4+ cell count levelspersistence of low CD4+ cell count levels

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Cancer Predictive Factors

Hodgkin's lymphoma; lung and

liver cancerCurrent CD4 cell count

Kaposi's sarcoma; non-Hodgkin’s

lymphoma

Current CD4 cell count, current

VL, and absence of cART

Cervical cancer

Current CD4 cell count and

absence

of cART

Anal cancer

Time to CD4 count < 200

cells/µL and

VL > 5 log10 copies/mL

HIV, Cancer, and Predictive Factors HIV, Cancer, and Predictive Factors FHDHFHDH--ANRS CO4 StudyANRS CO4 Study

Guiguet M, et al. Lancet Oncol. 2009 October 7;.

Potential Patient Risks of Earlier Potential Patient Risks of Earlier Antiretroviral Therapy InitiationAntiretroviral Therapy Initiation

• Potential for poor adherence leading to drug resistance in patients who are not psychologically ready to begin therapy

• Potentially reduced quality of life resulting from adverse events associated with antiretroviral therapy

• Potential adverse effects of prolonged antiretroviral exposure

– eg, peripheral neuropathy, renal complications, lipoatrophy,

dyslipidemia, insulin resistance, anemia, BMD loss

• Increased monetary costs from longer overall treatment duration

– Drug costs/copays

– Follow-up monitoring expenses/copays

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Cumulative ARV Exposure and Risk of Cumulative ARV Exposure and Risk of Chronic Kidney Disease in EuroSIDA Chronic Kidney Disease in EuroSIDA

• 6843 HIV-infected pts with ≥ 3 serum creatinine measures and corresponding body weight measures from EuroSIDA study

– 21,482 pt-yrs follow-up

• Cumulative exposure to TDF, ATV, LPV/RTV, or IDV each associated with increased risk of CKD

• Risk of CKD after stopping TDF remained elevated for 1 yr

– Within 12 mos: IRR 4.05 (2.51-6.53)

– After 12 mos: IRR 1.12 (0.63-1.99)

• Risk of CKD after stopping ATV or LPV/RTV similar to pts never exposed

Kirk O, et al. CROI 2010. Abstract 107LB. Permission received by CCO for use of this graphic.

AgentAdjusted* IRR per Yr of

Exposure (95% CI)

*Adjusted for baseline eGFR, AIDS during follow-up, use of

nephrotoxic drugs, current CD4+, age, HIV-1 RNA, any CV

event, arterial hypertension, diabetes, HCV coinfection, non-AIDS malignancy, and patient sex.

0.9 1.4

TDF

IDV

ATV

LPV/RTV

Cockcroft-Gault (n = 225)

MDRD (n = 277)

ATV censored

TDF censored

bPI censored

■■ Residual HIV replication Residual HIV replication

■■ Persistent high level T cell activation even during HAARTPersistent high level T cell activation even during HAART

■■ Accellerated turnover and immunologic exhaustionAccellerated turnover and immunologic exhaustion

■■ T cell dysfunction, proliferation defects, loss of thymusT cell dysfunction, proliferation defects, loss of thymus

■■ High prevalence and burnen of other coHigh prevalence and burnen of other co--infections infections

■■ Persistent microbial translocationPersistent microbial translocation

Mechanisms associated to the persistence of low CD4+ cell count levels

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Hepatitis C and Immune ActivationHepatitis C and Immune Activation

Conditions Favoring Delay of Therapy

• Significant barriers to adherence

• Presence of comorbidities that complicate or prohibit antiretroviral therapy (eg, scheduled surgery that might force treatment interruption or other medications that

may have interactions with antiretroviral medications)

• Elite controllers or long-term nonprogressors

• Delay of antiretroviral initiation suggested only for patients with higher CD4+ cell counts

DHHS. Available at: http://aidsinfo.nih.gov/contentfiles/AdultandAdolescentGL.pdf.

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Factors Associated With Poor Adherence

Poor Adherence

Low literacy level

Age-specific factors (eg, visual or

cognitive impairment)

Psychosocial factors (eg, depression,

homelessness, dementia)

Current substance abuse

HIV-related stigma

Complicated drug regimens Difficulty taking meds (eg, problems swallowing pills,

erratic schedule)Adverse effects of drugs

Treatment fatigue

DHHS. Available at: http://aidsinfo.nih.gov/contentfiles/AdultandAdolescentGL.pdf.

Factors Other Than CD4+ Cell Count to

Consider When Initiating Antiretroviral

Therapy Initiation

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Factors Relevant to Regimen Selection

• Baseline HIV-1 RNA level

• Comorbid conditions (CV disease, chemical dependency, liver disease, psychiatric disease, renal diseases, TB)

• Potential adverse drug effects

• Potential drug interactions with other medications

• Pregnancy or pregnancy potential

• Results of genotypic resistance testing

• Patient sex and pretreatment CD4+ cell count if considering nevirapine

• HLA-B*5701 testing if considering abacavir

• Coreceptor tropism assay if considering maraviroc

• Patient adherence potential

• Convenience (pill burden, dosing frequency, and food and fluid considerations)

DHHS. Available at: http://aidsinfo.nih.gov/contentfiles/AdultandAdolescentGL.pdf.

• Certain conditions favoring initiation regardless of CD4+ cell count

– History of AIDS-defining illness

– Certain acute opportunistic infections

– Pregnancy

– HIV-associated nephropathy

– HBV coinfection when HBV treatment is indicated

– CD4+ cell count decline > 100 cells/mm3 per yr

– HIV-1 RNA > 100,000 copies/mL

� Other potential reasons for starting therapy earlier

– Decreased rates of transmission in serodiscordant couples

– Decrease in new HIV diagnoses within the community

Patient Factors/Comorbidities

That Impact Timing of

Antiretroviral Therapy

Additional Factors to Consider

• Patient age

• Patient readiness

• Likelihood of treatment adherence

• Potential impact of antiretrovirals on patient quality of life

• Additional comorbidities that could impact success of therapy including depression

• Concurrent drugs not compatible with antiretroviral

agents

• Long-term nonprogressors or elite controllers

DHHS. Available at: http://aidsinfo.nih.gov/contentfiles/AdultandAdolescentGL.pdf.