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COST-EFFICIENCY VERSUS POTENCYPROFESSOR ADRIAN STREINU-CERCELMD, PHD
2nd CEE MEETING on Viral Hepatitis and Co-infection with HIV6-7 OCTOBER 2016BUCHAREST ROMANIA
Efficiency in Health
Efficiency is a relationship of value:
How much output of value (health benefit) perinput of value (resource cost)
Focus on efficiency forces consideration of both sides of the value proposition:Benefits and costs
EFFICIENCY =
BENEFITSRESOURCE
COSTS
Efficiency, Quality and Cost
Efficiency, in terms of eliminating waste, is one dimension of quality in health care.
Quality, in terms of net benefits to health,is part of the equation for health efficiency.
Cost, in terms of resource costs, is theother part of the equation for efficiency.
Potency ≠ Efficacy ≠ Efficiency
Drug Potency HCV = drug`s capacity to suppress viral replication in the first 72h at undetectable level
Drug Efficacy HCV = drug`s capacity to clear the virus from infected cells
Factors explaining IFN-α and ribavirin treatment f il
The new DAA`s era of SVR
HCV is unique amongst viruses in that it is curable, with the goal of treatment being the attainment of SVR, resulting in the cessation of disease progression in approximately 99% of patients
Another problem: Cost-effectiveness of novel direct-acting antiviral; DAAs treatments in patients co-infected with hepatitis C and HIV
Compared to infection with chronic hepatitis C virus (HCV) alone, patients co-infected with human immunodeficiency virus (HIV) have an increased rate of disease progression, shorter survival, worse transplant outcomes and decreased treatment effectiveness
These newly available HCV treatments have shown a propensity to achieve high rates of sustained virologic response (SVR) also amongst HIV co-infected patients
Driving factors underlying liver disease pathogenesis in HCV-HIV co-infection.
The main differences of the viral response to treatment is “definitive clearance” for HCV
Talha Burki Elimination on the agenda for hepatitis CLancet Infect. Dis. 2014, 14, 542-543
HCV Cure Reduces All-Cause Mortality Long-term follow-up study of
530 pts with chronic HCV infection and advanced fibrosis or cirrhosis HCV treatment 1990-2003 Follow-up median 8.4 yrs
(IQR: 6.4-11.4) Main outcome: all-cause
mortality Secondary outcomes: liver
failure, HCC, liver-related mortality, transplantation
10-year cumulative incidence of all outcome measures decreased with SVR
van der Meer AJ, et al. JAMA. 2012;308:2584-2593.
10-Yr Cumulative Incidence
50
40
30
20
10
0
Perc
ent
SVRNo SVR
All-C
ause
M
orta
lity
Live
r-R
elat
edM
orta
lity
HC
C
8.9
26.0
1.9
27.4
5.1
21.8
Markov state transition model simulating the naturalhistory of hepatitis C.
Note. Transition probabilities derivedfrom recent population-based studies. F0-2, F3, and F4 represent METAVIR stages of hepatic fibrosis.
F3- and F4- treated states involve reduced risks of liver-relatedmorbidity and mortality compared with untreated states.
Economic and Public Health Impacts of Policies Restricting Access to Hepatitis C Treatment Alexis P. Chidi, PhD, MSPH, Cindy L. Bryce, PhD3V A L U E IN HE A L T H 1 9 ( 2 0 1 6 ) 3 2 6 – 3 3 4
75kPa
F4
9.0/11.0
PPV: 38–57%NPV: 98–99%
F3
8.1/8.4
PPV: 65–77%NPV: 84–95%
Cut-off points for liver stiffness in chronic hepatitis
F2
2.5
7.2
PPV*: 80%NPV†: 73%
Marcellin P et al., Liver Int. 2008; In press. Chan HLY et al., J Viral Hepat. 2008; In press
* PPV=positive predictive value† NPV=negative predictive value
Monitoring of disease progression, complications of cirrhosis using FibroScan
Oesophageal varices grade II/III
27
Ascites
49
HCC
54
Bleeding
63 kPa75
Foucher J, et al., Gut 2006;55:403-8.
711 patients with liver diseasesF3F4 144
Life Expectancy Gain at Various SVR According to Liver Fibrosis Stage
Zhou K, DDW, 2014, Su1035
• Model demonstrates greatest life expectancy benefit of treatment derived from treatment of younger patients with higher levels of fibrosis
• Older cohorts did not realize substantial improvement in life expectancy gain despite increases of SVR up to 90% when they had no fibrosis
F0 F4
0,0
0,5
1,0
1,5
2,0
2,5
3,0
50% 60% 70% 80% 90%0,0
2,0
4,0
6,0
8,0
10,0
12,0
50% 60% 70% 80% 90%
60M
65M
70M
60F75M65F70F80F80M75F
60F60M65F65M70F70M75F75M80F80M
LE G
aine
d (y
ears
)
LE G
aine
d (y
ears
)SVR (%)SVR (%)
Translating improvements of SVR into cure requires consideration of several factors
SVR
Fibrosis stage
Patient Factors
Access
Policy
OPTIMIST-2: SMV + SOF for 12 weeks in GT1 Naive/Experienced Patients With Cirrhosis
Lawitz E, et al. EASL-ILC 2015; Poster presentation LP04.
88 79
020406080
100
Treatment-naive
Treatment-experienced
44/50 42/53
83 7492 84
020406080
100
GT1a GT1a withQ80K
GT1a withoutQ80K
GT1b
60/72 35/3825/34 26/31
Prop
ortio
n of
pat
ient
s w
ith S
VR (%
)
68 87 7494 80 100
020406080
100
Platelets<90,000/mm
Platelets ≥90,000/mm
Albumin<4 g/dL
Albumin≥4 g/dL
Fibroscan score>20 kPa
Fibroscan score >12.5–≤20 kPa
13/19 73/84 39/53 47/50 12/15 11/11
Presence of Q80K influences response in patients with GT1aSVR12 rates <75% achieved in patients with a low platelet count or low albumin
levels
Factors That Influence HCV Treatment Decisions
Category Factors
Viral HCV GT Viral load
Treatment
HCV treatment history
– PegIFN + RBV– Protease
inhibitor
RBV eligibility Resistance
Fibrosis stage
Child-Pugh score If cirrhotic, any history of
decompensation? Transplant evaluation if necessary
Coinfection/comor HIV coinfection Cardiovascular renal metabolic etc
Preventing future costs at minimal costs … Patient with fibrosis>F3:
Calculate CTP Score Calculate MELD Score fibromax fibroscan Standard : Hem Biochemistry – including ionogram Coagulation Test
At NO COSTS!
Minimal Costs
Minimal Costs
Factors which influence viral load drop/cure of infected cells
Factors which cannot be modifiedHost geneticsDisease characteristics (extensive fibrosis,
cirrhosis)HCV Genotype
Factors which can be modified:DAAs potency (Phase I)Ribavirin +/-Lengths of treatment
Potency/ SVRTreatment
Phase I
InfectedCell cure
HC
V R
NA
leve
l
LLD
Target not detected
End of treatment Start
therapyW4
Phase II
Efficacy
Potency No resistance; EC50 >EC50WT
=
Viral drop- DAAs
NS5A NS5B NS3/4A NS5A NS5B NS3/4A
Daclatasvir N/A Asunaprevir Ombitasvir Dasabuvir Paritaprevir/rDuration 1 day 3 days Duration 3 days 2 days 3 days
Viral Drop -3.2 0 -3.3 Viral Drop -3.1 -1.5 -4.1
-6.5 -8.7
NS5A NS5B NS3/4A NS5A NS5B NS3/4ADaclatasvir Sofosbuvir N/A N/A Sofosbuvir Simeprevir
Duration 1 day 3 days Duration 3 days 7 daysViral Drop -3.2 -3.7 0 Viral Drop 0 -3.7 -4.1
-6.9 -7.8
NS5A NS5B NS3/4ASofosbuvir N/A Ledipasvir
Duration 3 days 3 daysViral Drop -3.7 0 -3.3
-7
General characteristics of different classes of DAAs
Efficacy Genotype dependency
Barrier to resistance
NS3/4A (protease inhibitors) +++ +++ ++
NS5A +++ +++ ++NS5B (nucleos(t)ides) +++ +++ +++
NS5B (nonnucleosides) ++ + +
DAA RAVs vs Fold change
Minimum Costs for HCV treatment, Diagnostics, Genotyping and Monitoring
$121
$242
$129 $193
$149
$298
$118
$56
$56
$56
$56 $56
$56
$56
$90
$90
$90
$90 $90
$90
$90
050
100150200250300350400450500 HCV Genotyping Diagnostic monitoring
Treatment
$275
$339$295
$444
$264
Pred
icte
d co
st, U
S$
$267
$388
Consequences of inaccurate hepatitis C virus genotyping on the costs of prescription of direct antiviral agents
The cost-effectiveness results show an overall increase in terms of efficacy due to the use of sequence analysis of HCV genotype along with a slight increase in terms of costs.The cost per unit of efficacy gained is difficult to interpret due to the lack of
S f C f
Treatment of chronic hepatitis C virus genotype 1 infection: comparison of health-economic outcomes for naïve patients
Range and mean values of treatment costs per SVR for non-cirrhotic patients
Range and mean values of treatment costs per SVR for cirrhotic patients
ISPOR 21st Annual International Meeting; 21-25 May 2016 W hi t DC USA
Best strategies for rapid SVR and costs reduction
We could compare two strategies for managing hepatitis C infection in
1) Current Practice – only patients with advanced fibrosis or cirrhosis are treated for hepatitis C. Before becoming eligible for treatment patients with early-stage disease are deferred until disease progression
and 2) Full Access – patients with early-stage disease, advanced fibrosis, and cirrhosis to be treated before becoming eligible
Strategies to Increase Efficiency
ACCESS
COSTQUALITY
EFFICIENCY
Issues and Challenges in Using Cost –Efficiency in Developing Clinical Guidelines
In thinking about clinical guidelines - important to recognize heterogenityamong patients: they differ !!
not only clinically
but in terms of their assessments of different health outcomes and their preferences for risk.
There is no single ICER that applies to all patients in a given clinical situation.
Expected effectiveness will vary among people even within a clinical subpopulation, and thus it may make sense for the physician to recommend different
treatment pathways for patients who appear to be clinically identical while still recognizing the importance of cost and the need for a range of appropriate care in any given clinical situation.
Cost-Effectiveness and Clinical Practice Guidelines: Have We Reached a Tipping Point?—An OverviewL i P G i J PhD*
Treatment availability
We assumed that all patients would be treated with one of two currently available interferon-free hepatitis C drug regimens:
A multidose three-drug combination of ombitasvir, paritaprevir, and ritonavir with dasabuvir (3D)
or A single-dose two-drug combination of
sofosbuvir/ledipasvir (SOF/ LDV)
Ledipasvir/Sofosbuvir for GT1 Tx-Naive Non-cirrhotics with HCV RNA < 6 M IU/mL:
Are 8 wks sufficient? Or are 12 wks better? Established by retrospective analysis of ION-3
Many clinicians were initially uncomfortable
What do “real-world” data show?
8 vs 12 Wks of LDV/SOF in Pts With GT1 HCV: HCV-TARGET and TRIO Network
Treatment-naïve, noncirrhotic pts with GT1 HCV HCV RNA < 6 M IU/mL in HCV-TARGET
1. Terrault N, et al. AASLD 2015. Abstract 94. 2. Curry M, et al. AASLD 2015. Abstract 1046.
251/263 604/632SV
R12
(%)
127/131 187/192
SVR
12 (%
)
n/N =
HCV-TARGET[1] TRIO Network[2]
100
8 Wks
97 97 95 96
8 Wks 8 Wks 12 Wks
80
604020
0
10080
604020
0
Romania SVR – W12 post-therapy
69/ 97%
0 2/ 3%
No of pts SVR12 = 71
ND<15 UI/ml<150 UI/ml
Source: INBIMB 2016
Incidence of AEs – week of therapy
138/ 82%
27/ 16%
2/ 1% 1,2
Total AEs W1-W12 = 169 Out of 550 pts
S2S4S10S12
Source: INBIMB 2016
Treatment for Hepatitis C VirusMoving Towards a Public Health Agenda
The characteristics of an ideal regimen include safety and universal efficacy: cure rate of ≥ 85% across all populations - including pregnancy and
nursing, in pediatrics and people with cirrhosis; HIV coinfection – and other common comorbidities Treatment must be:
Simple with minimal safety and efficacy monitoring and convenient – preferably one single tablet – easy to administer and
undergo
Data is needed on DAAs during pregnancy Pediatric studies are underway Despite gaps in knowledge and limitations of currently available DAAs,
they have many of the characteristics needed to address HCV globally
HCV All-Oral Regimens Currently and Soon to Be AvailableRegimen Component Classes Dosing Approved
Genotypes
Sofosbuvir + ribavirin
Nucleotide polymerase inhibitor + nucleoside
analogue
Sofosbuvir: 400 mg QDRibavirin: dosed
according to weight/GT1, 2, 3, 4
Sofosbuvir + simeprevir
Nucleotide polymerase inhibitor + protease
inhibitor
Simeprevir: 150 mg QDSofosbuvir: 400 mg QD 1, 4
Sofosbuvir/ ledipasvir
Nucleotide polymerase inhibitor + NS5A inhibitor
Sofosbuvir/ledipasvir: 400/90 mg QD 1, 4, 5, 6
Paritaprevir/RTV/ ombitasvir + dasabuvir
Protease inhibitor + NS5A inhibitor +
polymerase inhibitor
Paritaprevir/RTV/ombitasvir: 150/100/25 mg† QDDasabuvir: 250 mg BID
1
Sofosbuvir + daclatasvir
Nucleotide polymerase inhibitor + NS5A inhibitor
Sofosbuvir: 400 mg QDDaclatasvir: 60 mg QD 1, 3
Grazoprevir/elbasvir
Protease inhibitor + NS5A inhibitor
Grazoprevir/elbasvir: 100/50 mg QD 1, 4
Sofosbuvir/velpatasvir*
Nucleotide polymerase inhibitor + NS5A inhibitor
Sofosbuvir/velpatasvir: 400/100 mg QD NA: clinicaloptions.com
“Curing” HCV requires sometimes more than SVR
SVR is usually considered as “Cure” for HCVIt is time to go beyond this
Toward Improved Health Care
[Efficiency = Outcome per Cost] Value
[Quality and Safety] Performance
[Use and Non-Use] Practice
Standards [Guidelines]
Evidence [Clinical Research]
Opinion [Personal experience]Efficiency, Quality and Cost in Health Care Harvey V. Fineberg, M. D., Ph. D.
International Society for Pharmacoeconomics and Outcomes
Strategies to Increase Efficiency Enhance “value-based competition” for health
care
Payment for covered life, health condition, orepisode of illness rather than for units of service
Equitable distribution of high-risk group of patients
Universal coverage
Scaling up global HCV treatment access is challenging
Offers the opportunity to leverage the lesson learned from HIV, where research has been invaluable.
In HIV, prevention, treatment and testing programs were established years before effective treatment was available.
With HCV we have the cure – but lack an independent research agenda for DAAs and their implementation.
A coordinate plan to provide care and treatment while seeking to optimize it – and asses the impact of doing
During 2015, a majority of the risk-shares concerned hepatitis C treatments as well as cancer treatments
IHS - Life Sciences: Article Risk-Sharing DatabPUBLISHED: 26 JAN 2016
Conclusions
“Pay-per-cure” - the payment is made for the drugs only in cases where the patient achieves SVR
a good solution for health providers to mitigate their risks and answer to high prices of new therapies.
What we have to do
1. Affordable price for tailored treatmentsa. Lobby to:
governants politicians local authorities
b. R&D reimbursement to the pharma-industry for the innovative medicines
c. Special policy of the UE governance for innovative medicines
2. Special medical training for those involved in HCV cure program (including GPs)