regimen selection to support a “public health” approach
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Regimen Selection to Support a “Public Health” Approach. Anthony Amoroso, MD Assistant Professor of Medicine University of Maryland School of Medicine Institute of Human Virology. Can a regimen be the cornerstone to support a public health approach?. Challenge: - PowerPoint PPT PresentationTRANSCRIPT
Regimen Selection to Support a “Public Health” Approach
Anthony Amoroso, MDAssistant Professor of Medicine
University of Maryland School of Medicine
Institute of Human Virology
Slide 2
Can a regimen be the cornerstone to support a public health approach?
Challenge: • Enable mid- and low-level providers to
deliver quality HIV treatment• to 100,000’s of patients • in community health clinics and dispensaries
Simplify clinical decision-making protocols centered on “four Ss”. 1. When to start2. When and what to substitute to3. When to switch for treatment failure4. When to stop
Gilks C, et al. Lancet Aug 5, 2006
Slide 3
Characteristics of an ideal public health regimen
Simple and convenient dosing
Durable and efficacious• Low rate of dose limiting toxicities • Predictable degree of viral suppression across different viral
populations
Superior safety profile • not exacerbated by prevalent co-morbidities, • avoids common drug-drug interactions.• easily diagnosable toxicities.
Predictable resistance pattern
• mutational pattern which simplifies switching therapy decisions• rational second line treatment options after clinical failure
Accessible pricing
Slide 4
Cost of Access
• Only $109,843,477 million spent directly on the purchase of ARV drugs within the 3rd year of PEPFAR (2006)
• ARV drug related costs are estimated to be less than 7% of total care, treatment and prevention package to 15 focus countries $1,601,986,513.
• “Drug costs are no longer the fundamental obstacle for treatment”
3rd OGAC to report to congress
Slide 5
Simple Dosing
• Durable viral suppression is absolutely linked to extraordinary tight adherence. • Lack of viral load monitoring amplifies the need
to ensure adherence.
• Availability of once a day therapy supports patients and adherence programs.
• 3TC and FTC • ABC, TDF, and DDI• EFV, NVP • Kaletra, Atazanavir, fosamprenavir• FTC/TNF, 3TC/ABC• FTC/TNF/EFV
Slide 6
Regimen Durability
• Intolerance and toxicities are the most common reasons for treatment failure and have important cost and safety ramifications : 1. Degree of complexity necessary for safe
and appropriate medication change. 2. Degree of complexity required for the
appropriate management of the side effects
7
0.0
00
.25
0.5
00
.75
1.0
0P
roba
bilit
y
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19Time
D4T/3TC/NVP or EFV AZT/3TC/NVP or EFV
TRUVADA/NVP or EFV
Uganda, Zambia and Kenya data combined
Medical Quality Assurance and Improvement AIDSRelief, 2006Continuation of using initial HAART regimen
N=349
N=331N=485
N= 1265
Slide 8
All Clinical Reasons for Therapy Switch
N (%)
Clinical Failure 240 (3.6)
Drug Interaction 324 (4.9)
Patient Preference 31 (0.4)
Poor Adherence 40 (0.6)
Pregnancy 94 (1.4)
Toxicity 1164 (17.5)Unlisted 495 (7.6)
Total 2388 (36.6)
Amoroso et al. 14th CROI. Los Angeles, 2007. Abstract 789
Causes of ART Switch1/08/2004 - 01/08/2006 : Kenya, Uganda, Zambia N=6520
Slide 9
Drugs Total Started Observed % SwitchedDue to Toxicity
Median time to toxicity (days)
D4T 2149 24.6% 141
AZT 1433 13.2% 81
TDF 2938 0.7% 58
NVP 4288 6.6% 83
EFV 3657 3.4% 119
LPV/r 622 2.0% 25
Amoroso et al. 14th CROI. Los Angeles, 2007. Abstract 789
Slide 10
SUMMARY Recent Abstracts
Country/study Date DrugObservedToxicity
S. Africa/MSF 2006 D4T
Neuropathy8.5% switch
Uganda/Forna 2006 D4T
Neuropathy31% / 8% grade 3-4
Kenya/Kim 2006 D4T
Neuropathy23% / 3% grade 3-4
Rwanda/MSF 2006 D4T
Lipoatrophy 23%
Uganda/Zimbabwe/DART 2005 AZT
Anemia22% / 5.5% <6.5 Hb
S. Africa/MSF 2006 AZT
Anemia8.9% switch
Slide 11
Study 903 – Week 144 Patients (%) with Lipodystrophy†
Gallant et al. JAMA 2004
1
4
1
12
3
19
0
2
4
6
8
10
12
14
16
18
20
% P
atie
nts
wit
h S
elec
ted
To
xici
ties
TDF+3TC+EFVd4T+3TC+EFV
Week 48 Week 96 Week 144†Investigator-defined*p value < 0.001
*
*
*
*
1
4
1
12
3
19
0
2
4
6
8
10
12
14
16
18
20
% P
atie
nts
wit
h S
elec
ted
To
xici
ties
TDF+3TC+EFVd4T+3TC+EFV
Week 48 Week 96 Week 144†Investigator-defined*p value < 0.001
*
*
*
*
Slide 12
TDF Attributable Toxicity N (%)
Renal Toxicity 3 (13.6)
Other/Not documented 19 (86.0)
Total 22
Slide 13
DART Trial: Toxicity Profile mismatch with targeted population
Anemia22.4% anemia by Wk 24
• 6.6% grade 4
Risk factors: • Female; • low baseline BMI; • low baseline Hb;
• low baseline CD4+;
(Ssali F, et al. Abstract 24)
Slide 14
Zidovudine and Severe AnemiaFinancial Implications at one hospital
• 15 consecutive cases of Hb <= 6.5 g/dl• Range 2.4-6.5, median 5.4
• 9 admissions• 14 units of blood transfused
• 3 deaths• 1 directly attributable to anemia
• Combined hospital bill = $1264 • Hospital left with $720 USD unpaid by
patients• 1.3% of 2004 hospital operating deficit
Slide 15
The Difficulty of Late Treatment Failure
• There are few specific treatment strategies which have clinical evidence once patients have clinically failed recommended 1st line regimens
• Broad cross-resistance among drugs within a class
Slide 16
050
100150200250300350400450500
0 2 4 6 8 10 12Time (months)
CD
4 co
un
t
10
100
1,000
10,000
100,000
1,000,000
Vir
al L
oad
Example of virologic failure in relation to CD4 decline
Accumulation of mutations
Slide 17
1.5
2
2.5
3
3.5
4
4.5
0 4 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80 84 88 92 96
Study week
Pla
sma
HIV
-1 R
NA
Lo
g
Example of in Subjects With Virologic Rebound on AZT/ABC/3TC
CNA3005
WT
50 c/mL
400 c/mL
28 weeks of M184V only
32
3 3 4 411
1 1
0
M184V onlyM184V plus other mutations
Melby T, et al. 8th CROI, 2001: Abst. 448.
Stepwise Accumulation of Mutations
Slide 18
Resistance Patterns after Initial Failure of Common NRTI Backbones
AZT/3TC D4T/3TC
TIME TO DEVELOPMENT
M184V Multiple TAMS
ABC/3TC M184V
TDF/FTC M184V K65R
74V > K65R
19
Predicted NRTI activity based on median Predicted NRTI activity based on median phenotypes by genotype*phenotypes by genotype*
# Mutations RT genotype ZDV d4T ddI 3TC/FTC
ABC TDF
1 184V/I
65R
2 65R + 184V/I74V/I + 184V/I
41L + 184V/I
3 67N + 70R + 184V/I
215Y/F* +184V/I
4 67N + 70R +219E/Q + 184V/I
41L + 215Y/F* + 184V/I
5 41L + 210W + 215Y/F* + 184V/I
*215Y and 215F both require 2 mutations from wild type Resistant
SusceptibleLanier R, et al. 10th CROI, Boston 2003, #586
Partial
Slide 20
Rational Second Line Therapy
PhenoSense Results for K65R + M184V (n=58)
Above cutoffBelow cutoff
0
20
40
60
80
100
% of viruses
ZDV TDF ABC ddI ddC 3TC
100% 90% 55% 42% 18% 3%
Miller et al. (2003) 43rd ICAAC, #H-904
AZT Remains Susceptible in K65R+M184V Viruses
Slide 21
Clinical and cost implications of first line therapies
AZT/D4T+3TC• Risk of accumulation of resistance mutations
over time • Switching patients at time of clinical failure will
limits second line options for many • Necessitate the use of viral load measurements for the
“four Ss” decision making process. • viral load measurements and genotype assays are costly
to set-up, train, quality assure, and provide logistical access to.
TDF+3TC/FTC• No additional “mutational costs” with allowing
patients to present with clinical failure as the indication for switch to second line.
• Eliminates the need for viral load measurements in most cases
22
Cost of maintaining 100 pts on 1st and 2nd line regimens
2000
2500
3000
3500
4000
4500
5000
5500
6000
100/0 90/10 80/20 70/30 60/40 50/50
Proportion on 1st vs 2nd line
Co
st
per
hu
nd
red
th p
ati
en
t
Combivir+EFV
Truvada+EFV
1st line NRTI
2nd lineLPV/r+ABC+TDF
2nd line
LPV/r+CBV
Slide 23
Good medical outcomes should drive treatment strategies
Strongly recommend implementing current WHO guidelines to move away from D4T (and AZT) which carry significant toxicities and complicate care delivery• Supports the accepted knowledge and
practice within the HIV treating community.
• Aligns 1st line treatment recommendations with guidelines in the U.S. and Europe• Ends the endorsement of substandard ART to
the poor of the world