HIV: Optimizing Antiretroviral Therapy
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Transcript of HIV: Optimizing Antiretroviral Therapy
HIV: HIV: Optimizing Optimizing
Antiretroviral TherapyAntiretroviral Therapy
Dr Christopher KC LeeInfectious Diseases UnitDepartment of MedicineSungai Buloh Hospital
Malaysa
TherapeuticTherapeutic Goal of HAART Goal of HAARTR
elat
ive
Lev
els
Rel
ativ
e L
evel
s
MonthsMonths Years After HIV InfectionYears After HIV Infection
-4CD + T cells
Plasma HIV Viremia Plasma HIV Viremia
Acute HIV infection SymptomAcute HIV infection Symptom
Viral Load: Limit of detection
? Long term durability
3
Declining morbidity & mortality among patients with Declining morbidity & mortality among patients with advanced HIV infectionadvanced HIV infection
0
5
10
15
20
25
30
35
40
Deaths
ARV
‘‘9494 ’’9595 ‘‘9696 ‘‘9797
100100
7575
5050
2525
00
Dea
ths
p er
1 00
p ers
on y
rsA
RV
therapy including protease inhibitors
Pallella FJ et al, HIV Outpatient Study Investigations, N Engl J Med 1998; 338:853-860
4
D is tr ib u tio n o f P C P , T o xo p la sm o s is a n d T u b e rcu lo s is in R e p o rte d A I D S C a se s to M O H ( B ra z il, 1 9 8 1 - 2 0 0 1 )
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
Year
Num
ber o
f Cas
es
PCP
Toxoplasmosis
Disseminated TB
Pulmonary TB
5
The Global Goal:The Global Goal:Progress Toward "3 by 5" TargetsProgress Toward "3 by 5" Targets
WHO 20050 50K 100K 150K 200K 250K 300K 350K 400K 450K 500K
South AfricaIndia
NigeriaZimbabwe
BrazilTanzaniaEthiopia
KenyaMozambique
Republic of CongoZambiaMalawi
ThailandUganda
Côte d'IvoireCameroon
Russian FederationBotswana
ChinaSudan 20 countries with the highest ARV need
As of June 2004
June to December 2004
January to June 2005
People still needing treatmentto reach "3 by 5" target
People receiving ARV therapyTARGET MET
TARGET MET
TARGET MET
6
Enrollment in Columbia University-PEPFAR supported Enrollment in Columbia University-PEPFAR supported programs increasingprograms increasing
Antiretroviral Access in Antiretroviral Access in Resource-Limited CountriesResource-Limited Countries
Rwanda
Kenya
Tanzania
Total in care (n = 23,177)
South Africa
Mozambique
0
1000
2000
3000
4000
5000
6000
7000
Peo
ple
en
rolle
d
Sep-04
Oct-04
Nov-04
Dec-04
Jan-05
Feb-05
Mar-05
Sep-04
Oct-04
Nov-04
Dec-04
Jan-05
Feb-05
Mar-05
ART Care (n = 7979)
Rwanda
Kenya
Tanzania
0
1000
2000
3000
4000
5000
6000
7000
MozambiqueSouth Africa
Nash D, et al. IAS 2005. Abstract MoOa0206.
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Current Antiretroviral MedicationsCurrent Antiretroviral MedicationsNRTI AbacavirAbacavir ABCABC Didanosine Didanosine DDI DDI EmtricitabineEmtricitabine FTC FTC LamivudineLamivudine 3TC 3TC StavudineStavudine D4TD4T ZidovudineZidovudine ZDV ZDV ZalcitabineZalcitabine DDCDDC TenofovirTenofovir TDFTDF
NNRTINNRTI DelavirdineDelavirdine DLVDLV EfavirenzEfavirenz EFVEFV NevirapineNevirapine NVPNVP
Protease InhibitorProtease Inhibitor AmprenavirAmprenavir APV APV AtazanavirAtazanavir ATVATV FosamprenavirFosamprenavir FPVFPV IndinavirIndinavir IDVIDV LopinavirLopinavir LPVLPV NelfinavirNelfinavir NFVNFV RitonavirRitonavir RTVRTV Saquinavir Saquinavir SQV SQV
• soft gelsoft gel SGCSGC• hard gelhard gel
HGCHGC• tablettablet INVINV
TipranavirTipranavir TPVTPV Darunavir DRVDarunavir DRV
Fusion InhibitorFusion Inhibitor EnfuvirtideEnfuvirtide T-20T-20
ARVS available in Malaysia 5/2006
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M’sian M’sian ARVARV Guidelines 2004 Guidelines 2004
Thymidine Thymidine AnalogAnalog
Thymidine Thymidine AnalogAnalog
Non-Thymidine Non-Thymidine AnalogAnalog
Non-Thymidine Non-Thymidine AnalogAnalog
NNRTI (EFV, NNRTI (EFV, **NVP) NVP) oror
Boosted PIs Boosted PIs
NNRTI (EFV, NNRTI (EFV, **NVP) NVP) oror
Boosted PIs Boosted PIs + +
AZTAZTd4Td4T
AZTAZTd4Td4T
3TC3TCddIddI
3TC3TCddIddI
Triple Triple ARVARV Treatment Treatment2 N2 NRTIRTI + NNRTI /Boosted PIs + NNRTI /Boosted PIs
Triple Triple ARVARV Treatment Treatment2 N2 NRTIRTI + NNRTI /Boosted PIs + NNRTI /Boosted PIs
Objective:Objective: Maximal HIV viral suppressionMaximal HIV viral suppression for the longest durationfor the longest duration
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Recommendations on when to commence Recommendations on when to commence HAARTHAART (MOH, Malaysia 2004)(MOH, Malaysia 2004)
Clinical Category CD4
CountViral Load
Recommendat
-ions
SymptomaticSymptomaticAIDS defining illnessAIDS defining illnessSevere Symptoms *Severe Symptoms *
Any valueAny value Any valueAny value TreatTreat
AsymptomaticAsymptomatic < 200/mm< 200/mm33 Any valueAny value Treat
AsymptomaticAsymptomatic >200 but>200 but< 350/mm< 350/mm33 Any valueAny value Treatment Treatment
recommendedrecommended
AsymptomaticAsymptomatic > 350/mm> 350/mm33 > 50,000 > 50,000 copies/mlcopies/ml
Treatment may Treatment may be consideredbe considered
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Approval & Accessibility of Approval & Accessibility of Antiretrovirals:Antiretrovirals:
ZDVddI
ddC
d4T
SQV3TC
RTVIDVNVP
NFVDLV
EFVABC
APV
LPV/RTV
TDF
TPVDRV
ATVFPVENFFTC
Year
0
5
10
15
20
25
1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
An
tire
tro
vira
ls
Last ARV registered in Last ARV registered in MalaysiaMalaysia
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Limitations of Current AntiretroviralsLimitations of Current Antiretrovirals
AdherenceAdherence
ResistanceResistance
CostCost
Drug-drug interactionsDrug-drug interactions
Side effectsSide effects
12How drug resistance arises. Richman, DD. Scientific American , July 1998
How Drug Resistance ArisesHow Drug Resistance Arises
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How does resistance develop?How does resistance develop?
Continuation of a failing ART regimen after early Continuation of a failing ART regimen after early resistance has developed, selects for expansion of resistance has developed, selects for expansion of resistanceresistance
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Adherence
A major determinant of degree and duration of A major determinant of degree and duration of
viral suppressionviral suppression
Poor adherence associated with virologic failurePoor adherence associated with virologic failure
Optimal suppression requires excellent adherenceOptimal suppression requires excellent adherence
Suboptimal adherence is commonSuboptimal adherence is common
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What Degree of Adherence is Needed? Data From Unboosted PIs
Adherence to a PI-containing regimen correlates with HIV RNA response at 3 months
% V
L <
400
co
pie
s/m
L
PI Adherence, % (MEMS caps)
0
20
40
60
80
100
< 70 70–-0 80-90 90–-5 > 95
Paterson DL et al. Ann Intern Med. 2000;133:21-30
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Predictors of Inadequate Adherence
Regimen complexity and pill burden Poor clinician-patient relationship Active drug use or alcoholism Unstable housing Mental illness (especially untreated depression) Lack of patient education Medication adverse effects (or fear of them)
Not age, race, sex, educational level, socioeconomic status, past history of alcoholism or drug use
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3-Drug Combination ART: 1996
8AM 4PM 12 MID
fasting (1 hour before/2 hours after meals)1.5 liters of hydration/day
AZT +
3TC
+
IDV
18
3-Drug Combination: 2006
At Bedtime
TDF/FTC
+
EFV
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Improving Adherence
Establish readiness to start therapy
Provide education on medication dosing
Review potential side effects
Anticipate and treat side effects
Utilize educational aids including pictures, pillboxes, and calendars
Individualized adherence programs
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Limitations of Current Antiretrovirals
Adherence
Resistance
Cost
Drug-drug interactions
Side effects
21
Mutations Occur Spontaneously in the HIV Genome
HIV makes copies of itself very rapidly ~ 1-10 billion new virus particles/day
During its replication, HIV is prone to make errors when copying itself
This results in mutations or errors in the genetic material of the virus which make the structure of the offspring virus slightly different to that of the parent virus
Some of these mutations will result in an increased ability of the virus to grow in the presence of antiretroviral drugs
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Partial Viral Suppression Leads to Selection of Resistant Virus
When HIV replication is not blocked completely….
• Sub-optimal therapy regimens (e.g. partially suppressive regimens)
• Adherence problems
• Pharmacokinetic problems: poor drug absorption, inadequate dosing, drug-drug interactions, interperson differences in PK
….drug-resistant virus, already present in the population, is selected for and ultimately dominates
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Drug Levels and Resistance 1
dose
Increased risk of side effects
0
Increased risk of resistance
dose dose dose
MEC(Minimum Effective Concentratin)
Drug concentration
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Drug Levels and Resistance 2
dose misseddose
dosedose latedose
Increased risk of side effects
0
Increased risk of resistance
MEC(Minimum Effective Concentratin)
Drug concentration
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CDC Surveillance of Resistance Mutations In Naive Patients
633 newly diagnosed patients genotyped at 89 sites in 6 states in 2003-2004
14.5% prevalence of resistance mutations
• NRTI, 7.8%
• NNRTI, 3.0%
• PI, 0.7%
• Multiclass, 0.7%
Bennett D et al. 12th CROI 2005; abstract 674
Pre
vale
nce
(%
)
7.8%
3.0%
0
2
4
6
NRTI NNRTI PI Multi
0.7%
8
0.7%
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Resistance Testing
Genotypic resistance test• Perform test that gives mutations in viral genes
Phenotypic resistance test• Perform test that describes growth of virus in the presence
of anti-HIV drugs Limitations:
• Cannot detect minority species (< 10% of viral population)
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Mutations Selected by PIs
APV 32 46 47 50 54 73 908410
L V M I G I LII
FIRV I VIL S V MLVMV
9077 82 84 887146363010
FI N I IL I AFTS
VT V MDS
L D M M V VA I LN
NFV
48 9077 82 8473715410
IRV VL I A V MV SVT
L I V VA I LG G
SQV
10 20 32 33 36 46 54 82 847771 90
FIRV I F IL VL I AFTS
VT V MMR IRTV
L K V M M I V VA I LL
IRV II I IL V I AFTVT SA V MMR
82 84777371544632 3610 20 24 90
L K VL M M I V VA G I L
IDV
AFTS
FIRV MR VA VI F IL VLMTS
VT V MI L P S
L K VL M I VA G I LL I I F L8273 84 9046 54 7147 50 53 6332 3310 20 24
LPV-RTV
10 20 33 46 54 82 84 90IV IFV I V AFL
TV MMLT
TPV- RTV
L K M I V I LL
FIRV IL VML AFTS
V M
82 84544610 90L M I V I L
Multi-PII
V
32
A
20RMI
K
10IFV
L
24I
L
33
IFV
L
36
ILV
M
V S
48
V
G II A V
ATV 50 8410
VL
71
I
M46
L
I54 82
M
L9088
N
I
V
32 73
CSTA
G
20 24 33 36 48
<www.iasusa.org>
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Genopheno: An Example
RT: Q102K, D123E, I142V, C162S, V179I, T200A, I202V, R211Q, R277K, T286P, E297APR: K14R, I15V, M36A, R41K, K55R, I62V, I66L, G68E, H69Y, K70KIK, I93L
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Recommendations for Resistance Tests
>4 weeks after ART drugs are stopped Viral load levels <1000 cpm
Not generally recommended
Chronic HIV infection prior to starting ART
Consider
Virologic failure Suboptimal virologic suppression Acute HIV infection
Recommended
Clinical Setting
DHHS Guidelines, 4/7/05
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Antiretroviral Resistance: Conclusions
HIV growth leads to diversity.HIV growth leads to diversity.
Not suppressing viral load levels in the presence Not suppressing viral load levels in the presence
of antiretroviral drugs leads to resistant virus.of antiretroviral drugs leads to resistant virus.
HIV drugs have unique resistance patterns, but HIV drugs have unique resistance patterns, but
cross-resistance may occur.cross-resistance may occur.
Resistance testing offers benefits in choosing the Resistance testing offers benefits in choosing the
next drug combination.next drug combination.
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Limitations of Current Antiretrovirals
Adherence
Resistance
Cost
Drug-drug interactions
Side effects
32
Metabolism of PIs/NNRTIs
Metabolized by cytochrome P450, especially CYP 3A4Metabolized by cytochrome P450, especially CYP 3A4
Levels of PIs and NNRTIs may be affected by Levels of PIs and NNRTIs may be affected by concurrently administered drugsconcurrently administered drugs
PIs, especially ritonavir, inhibit CYP 3A4 potentially PIs, especially ritonavir, inhibit CYP 3A4 potentially leading to increased levels of concurrently leading to increased levels of concurrently administered drugsadministered drugs
Efavirenz and nevirapine can induce and inhibit Efavirenz and nevirapine can induce and inhibit CYP 3A4 CYP 3A4
Fewer drug-drug interactions with NRTIsFewer drug-drug interactions with NRTIs
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Drug Interactions with ARVs: Dose Modification or Cautious Use
Oral contraceptives (may require second method)
Methadone
Erectile dysfunction agents
Herbs - St. John’s wort
Lipid-lowering agents
Anti-mycobacterials, especially rifampin
Psychotropics – midazolam, triazolam
Ergot Alkaloids
Antihistamines – astemizole
Anticonvulsants
34
Limitations of Current Antiretrovirals
Adherence
Resistance
Cost
Drug-drug interactions
Side effects
35
Treatment-Limiting Side Effects
Cohort data from pts on older PI-based HAART regimens (e.g. IDV, NFV) indicated that 20-25% or more stopped or changed their 1st regimen due to side effects
Appears to be less frequent with current regimens
Rate of life-threatening adverse events exceeded AIDS events among ~3,000 pts in 5 multicenter trials
Toxicity58.3%
Virologicalfailure 14.1%
Non-adherence19.6%
Other8.0%
Reasons for treatment switch / discontinuation of 1st HAART regimen
n = 312
Monforte A et al. AIDS 2000;14:499-507d'Arminio MA et al. AIDS 2000; 14:499-507
O'Brien ME et al. JAIDS 2003; 34:407-14Reisler RB et al. JAIDS 2003; 34:379-86
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Adverse Effects of NRTIs* Zidovudine (AZT)- headache, GI intolerance, bone marrow
suppression
Abacavir - hypersensitivity reaction
Didanosine (ddI) - GI intolerance, pancreatitis, peripheral neuropathy
Stavudine (d4T) - peripheral neuropathy, pancreatitis, lipoatrophy
Zalcitabine (ddC) - peripheral neuropathy, oral ulcers
Lamivudine (3TC) – rare side effects
Emtricitabine (FTC) – side effects uncommon; hyperpigmentation of palms/soles < 2% (non-Whites)
Tenofovir - headache, GI intolerance, renal insufficiency
*Lactic acidosis is a class effect, most strongly associated with d4T/ddI; 3TC, FTC, and tenofovir are active against HBV. Development of HBV resistance may lead to flare of hepatitis.
37
Adverse Effects of NNRTIs
Rash, including Stevens-Johnson syndrome with nevirapine
Elevated liver enzymes (nevirapine > efavirenz)• Incidence of hepatotoxicity highest in women with
pre-nevirapine CD4 counts >250 cells/mm3 and men with >400 cells/mm3
Efavirenz - neuropsychiatric, teratogenic in primates (FDA Pregnancy Class D)
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Acute Adverse Effects of PIs
GI intolerance, diarrhea
Hyperbilirubinemia –atazanavir, indinavir
Hepatotoxicity
Increased bleeding in hemophiliacs
Adverse metabolic effects • Dyslipidemia• Insulin resistance• ? Lipodystrophy/fat redistribution• Atazanavir has favorable metabolic profile
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Metabolic Complications of HIV/Antiretroviral Therapy
One syndrome or several? One etiology or multifactorial?
Body fatBody fatredistributionredistribution
LipidLipidabnormalitiesabnormalities
Bone Bone DisordersDisorders
Mitochondrial Mitochondrial toxicitytoxicity
DisorderedDisorderedglucose glucose
metabolismmetabolism
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Cardiovascular and cerebrovascular events (CVE) in the D:A:D Study
Follow-up of ongoing, prospective, multinational cohort study1
36,151 pt-years follow up
Endpoints include documented:
• Myocardial infarction (n=127)
• CAD on angiography (n=42)
• Stroke (n=30 )
Estimation of theincidence of MI based upon the Framingham algorithm2
• Observed rate exceeded predicted rate by approximately 25%
http://hin.nhlbi.nih.gov/atpiii/calculator.asp?usertype=prof Law MG et al. 11th CROI 2004; abstract 737
12
10
8
6
4
2
0Inci
den
ce/
100
0 P
Y (
95%
Cl)
Incidence of CVE according to duration of ART exposure
ART exposure (yrs) None <1 1-2 2-3 3-4 >4 Total Events 7 15 22 30 49 76 199 PYFU 5711 4139 4795 5841 7210 8456 36151
Test for trendp<0.00001
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Disordered Glucose Metabolism
Prevalence of diabetes mellitus increased among HIV+ pts on protease inhibitors
• Prevalence ~2-14%
Insulin resistance (higher concentrations of insulin required for usual effects) more common
MACS: Risk of new onset DM ~ 4 x higher in HIV+ men vs. HIV- men (adjusted for age, BMI)
Dube M Clin Infect Dis 2000; 31:1467-75 Brown TT et al. Arch Intern Med 2005;165:1179-
84
42 Carr A Cooper DA. N Engl J Med 1998;339:1296
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Abdominal MRI Scans
Control subject Increased Visceral Fat
44
“Lipodystrophy Syndrome”
No generally accepted case definition of
syndrome(s)
Initial reports suggested clustering of:
• Central fat accumulation/adiposity
• Lipoatrophy/fat wasting
• Dyslipidemia
• Insulin resistance/type 2 diabetes mellitus
Fram J Acquir Immune Defic Syndr 2005;40:121-131
45
Potential Etiologies
Etiology?
HIV infection
Hormonal influence
Immune dysregulation
Non-HIV causes
Mitochondrial dysfunction
Host factors
Antiretroviral therapy
46
4836
Lipo
dyst
roph
y-fr
ee
surv
ival
Time (weeks)
P = 0.003
Prometheus Study: d4T & Clinician Reported Lipodystrophy
7588n = 888285n = 87
van der Valk M, et al. AIDS 2001; 15:847–855
96847260241200.00
0.25
0.50
0.75
1.00SQV/RTV
SQV/RTV/d4T
No. of patients not reported at 96 weeks
47
Role of Different NRTIs on Morphologic Changes: Change in Limb Fat (A5005)
IQR
** *
†
††
†
††
N=156; analysis by intent to treat
Me
dia
n %
ch
ang
e f
rom
ba
sel
ine
*P<0.05 between groups; †P<0.05 within groups.
Dube M, et al. 4th Lipo Wkshp 2002; abstract 27
-30
-20
-10
0
10
20
Study Week
3TC/ZDV ddI+d4T
Entry 16 32 48 64 80
48
MITOX: Limb Fat over 18 months
0
0.5
1
1.5
0 12 24 36 48 60 72
ABC
ABC from week 24
d4Tor ZDV
Me
an
ch
an
ge
(kg
)
Week
1.29 kg (36%)
0.55 kg (15%)
0.16 kg (4%)
n= ABC 47 42 35 33
ABC week 24 23 19 15 13 d4T or ZDV 29 25 22 19
Martin A et al. AIDS 2004; 18:1029
HIV-infected patients with moderate to severe lipoatrophy
49
ConclusionsConclusions
Adherence, resistance, drug-drug interactions, and Adherence, resistance, drug-drug interactions, and side effects (short- and long-term) are important side effects (short- and long-term) are important limitations of antiretroviral therapylimitations of antiretroviral therapy
Regimen choices usually based on potential Regimen choices usually based on potential advantages/optionsadvantages/options
• Decreased dosing frequency and pill burdenDecreased dosing frequency and pill burden
• TolerabilityTolerability
• Pharmacokinetic profilesPharmacokinetic profiles
• Resistance considerationsResistance considerations
• Improved metabolic profilesImproved metabolic profiles
50
“Persistence is what makes …Persistence is what makes …
The Impossible PossibleThe Impossible Possible
The Possible LikelyThe Possible Likely
And the Likely Definite”And the Likely Definite”
Robert Robert HalfHalf