1
Sacubitril/Valsartan
(ENTRESTO®)
Cardiovascular and Renal Drugs Advisory Committee Meeting
Supplemental NDA 207620-S018
Novartis Pharmaceuticals Corporation
December 15, 2020
2
Introduction
David Soergel, MD
Global Head, Cardiovascular, Renal and Metabolism Development
Novartis Pharmaceuticals Corporation
3
To discuss how Entresto can help address a substantial unmet medical need
in heart failure with preserved ejection fraction (HFpEF)
• The understanding of HFpEF has evolved; PARAGON-HF contributes significantly
to this evolution
• Despite the narrow statistical miss, a true albeit modest treatment effect of Entresto
is apparent in the PARAGON-HF study population
‒ Larger treatment effect observed in patients with lower LVEF and in women
• Evidence from other trials, including PARADIGM-HF in HFrEF, increase confidence
in the treatment effect of Entresto in HFpEF
• Favorable safety profile in HFpEF, in line with the extensive experience in HFrEF
Why We Are Here Today
4
• Heart failure (HF) is segmented by left ventricular ejection fraction (LVEF)
‒ HF with reduced ejection fraction (HFrEF)
‒ HF with preserved ejection fraction (HFpEF)
• 3.25 million HFpEF patients in the US
• Serious and debilitating disease
‒ High patient burden driven by recurrent hospitalizations and reduced quality of life
‒ Proportion of HF patients hospitalized with HFpEF is increasing, expected to be 50% in 2020​
‒ 40% of patients re-admitted within 1 year
• No approved treatment for HFpEF
Heart Failure and HFpEF
<<Virani SS, et al Circulation. 2020;141(9):e139-596; Oktay AA, et al. Curr Heart Fail Rep. 2013;10(4):401-410; Cheng RK, et al. Am Heart J 2014;168(5):721-730>>
5
• Unique dual blocker of renin-angiotensin system (RAS) and neprilysin
• Superiority demonstrated over RAS inhibition alone in HFrEF
‒ 20% relative risk reduction in HF hospitalization or CV death
• Approved in 115 countries worldwide
• Global exposure >2.6 million patient-years
Entresto®
(Sacubitril/Valsartan)
Approved for HFrEF in the US since 2015
6
Entresto®
Registration Program
EOP2: End of Phase 2; sNDA: supplemental New Drug Application
2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Phase 3
PARADIGM-HF
Completed
HFrEF Approval Pediatric HF
Approval
Phase 2
PARAMOUNT
Completed
Phase 3
PARAGON-HF
Initiated
PARAGON-HF
Completed
FDA Pre-filing
Meetings
sNDA
Submission
HFrEF
HFpEF
FDA EOP2
HFpEF
Meeting
7
Proposed Indication
ENTRESTO is indicated for the treatment of chronic heart failure:
‒ To reduce cardiovascular death and hospitalization for heart failure in patients
with chronic heart failure and reduced ejection fraction
‒ To reduce worsening heart failure (total heart failure hospitalizations and
urgent heart failure visits) in patients with chronic heart failure and
preserved ejection fraction with left ventricular ejection fraction
below normal
8
What You Will Hear Today
• Significant morbidity (recurrent hospitalizations)
• No approved treatment
Unmet Need
• PARAGON-HF
• Additional evidence from PARADIGM-HF and PARAMOUNT
Totality of
Evidence
• Consistent treatment effect across analyses of the primary endpoint and other clinically
relevant endpoints, supporting a true treatment effect
• Greater benefit observed in HFpEF patients with lower LVEF
• Well-characterized and favorable safety profile, consistent with approved indication
Efficacy and
Safety
• Evidence supports extending use to adjacent HFpEF population of patients with LVEF
below normal to reduce worsening HF events
Benefit / Risk
9
Introduction David Soergel, MD
Global Head, Cardiovascular, Renal & Metabolism Development
Novartis Pharmaceuticals Corporation
Heart failure with preserved
ejection fraction (HFpEF)
John McMurray, MD
Professor, Institute of Cardiovascular & Medical Sciences
BHF Cardiovascular Research Centre
University of Glasgow & Queen Elizabeth University Hospital in Glasgow
Sacubitril/Valsartan
Efficacy and Safety in
HFpEF
Scott Solomon, MD
Professor, Harvard Medical School
Brigham and Women’s Hospital
PARAGON-HF:
Clinical Implications
John McMurray, MD
Professor, Institute of Cardiovascular & Medical Sciences
BHF Cardiovascular Research Centre
University of Glasgow & Queen Elizabeth University Hospital in Glasgow
Closing Remarks David Soergel, MD
Global Head, Cardiovascular, Renal & Metabolism Development
Novartis Pharmaceuticals Corporation
Presentation Overview
10
Brian Claggett, PhD Assistant Professor, Harvard Medical School
Brigham and Women’s Hospital
Akshay Desai, MD Associate Professor, Harvard Medical School
Brigham and Woman’s Hospital
G. Michael Felker, MD Professor, Duke University School of Medicine
Duke University Medical Center
Marty Lefkowitz, MD Head, Therapeutic Area Clinical Development
Novartis, Cardiovascular, Renal & Metabolism
Guenther Mueller-Velten, Dipl-Wi-Math Executive Director, Biostatistics
Novartis, Cardiovascular, Renal & Metabolism
Ana de Vera, MD Head, Patient Safety
Novartis, Cardiovascular, Renal & Metabolism
Trish Kay-Mugford, DVM Head, Regulatory Affairs
Novartis, Cardiovascular, Renal & Metabolism
Available for Questions
11
Heart failure with
preserved ejection fraction
(HFpEF)
What is it and why does it matter?
John McMurray, MD
BHF Cardiovascular Research Centre,
University of Glasgow & Queen Elizabeth University Hospital in Glasgow
12
• What is heart failure?
• Left ventricular ejection fraction
• History of heart failure phenotyping by ejection fraction – HFrEF,
HFpEF and HFmrEF
• Clinical characteristics of, and outcomes in, patients with HFrEF,
HFpEF and HFmrEF
• Changing epidemiology of heart failure
• Goals of therapy and treatments available
Outline of Presentation
13
• A clinical syndrome - causing breathlessness (dyspnea), fatigue/exertional limitation and
edema (leg/ankle swelling) caused by dysfunction of the heart (muscle, valves, endocardium,
pericardium, rate or rhythm).
• Common - Afflicts 1-2% of the population (up to 10% of older people)
• Disabling - Greatly reduced quality of life (worse than almost any other chronic condition)
with frequent ED attendances and high rates of hospitalization. Heart failure accounts for 5%
of all medical admissions; is the single most common cause of hospitalization in people >65
years of age.
• Costly - Accounts for 1-2% of health care spending, 70% of which is due to hospitalizations.
• Deadly - High mortality rate (~50% at 5 years) but varies according to type of heart failure.
• Progressive - worsens progressively over time, with development of additional
complications including renal dysfunction, anemia, atrial fibrillation and other arrhythmias.
What is Heart Failure?
14
• What is heart failure?
• Left ventricular ejection fraction
• History of heart failure phenotyping by ejection fraction – HFrEF,
HFpEF and HFmrEF
• Clinical characteristics of, and outcomes in, patients with HFrEF,
HFpEF and HFmrEF
• Changing epidemiology of heart failure
• Goals of therapy and treatments available
Outline of Presentation
15
Left Ventricular Ejection Fraction (LVEF)
End-Diastole End-Systole
EDV ESV LVEF = X100
EDV-ESV
EDV
16
What is a Normal LVEF?
17
Framingham Heart Study: 2005-2014 (3rd decade)
LVEF distribution in participants without heart failure
Median
Q3
Q1
<<Vasan RS et al JACC Cardiovasc Imaging. 2018;11:1-11>>
18
• What is heart failure?
• Left ventricular ejection fraction
• History of heart failure phenotyping by ejection fraction –
HFrEF, HFpEF and HFmrEF
• Clinical characteristics of, and outcomes in, patients with HFrEF,
HFpEF and HFmrEF
• Changing epidemiology of heart failure
• Goals of therapy and treatments available
Outline of Presentation
19
A Short History of Heart Failure Terminology and
Trials
ACC/AHA
Heart failure with
“borderline”
ejection fraction
(41-49%)
Heart failure
(no mention of
ejection
fraction)
CONSENSUS
SOLVD-T
(LVEF ≤35%)
CHARM-
Preserved
(LVEF >40%)
DIG
(LVEF ≤45%;
ancillary trial >45%)
I-Preserve
(LVEF ≥45%)
V-HeFT
TOPCAT
(LVEF ≥45%)
Heart failure with
preserved
ejection fraction
(>40%)
Heart failure with
reduced ejection
fraction
ESC
Heart failure with
“mid-range”
ejection fraction
(40-49%)
1987 1991 2006 2016
2010 2014 2019
2003
1997
PARAGON-HF
(LVEF ≥45%)
PARAMOUNT
(LVEF ≥45%)
20
• HFrEF – a disease defined by the results of a trial (based on
an arbitrary LVEF cut-point)
• HFpEF – originally defined as everything else left over i.e.
defined by not having a “reduced” LVEF (<40%)
• HFmrEF – patients with “mid range” or “mildly reduced” LVEF
(~40-50%) – not normal but not HFrEF; redefined HFpEF as
LVEF >50%. Why 40-50%??
The Heart Failure Syndromes
21
• What is heart failure?
• Left ventricular ejection fraction
• History of heart failure phenotyping by ejection fraction – HFrEF,
HFpEF and HFmrEF
• Clinical characteristics of, and outcomes in, patients with
HFrEF, HFpEF and HFmrEF
• Changing epidemiology of heart failure
• Goals of therapy and treatments available
Outline of Presentation
22
HFrEF, HFmrEF and HFpEF: Similarities &
Differences
Characteristic HFrEF (n=15135) HFmrEF (n=4078) HFpEF (n=9911)
LVEF <40% 40-50% ≥51%
Mean (median) age (yr) 64 (64) 69 (70) 72 (72)
Age >70 years (%) 30 48 57
Female (%) 22 37 57
Medical history (%)
Hypertension 66 79 89
Myocardial infarction 42 41 22
Atrial fibrillation 35 39 39
Diabetes 31 35 36
NYHA class I/II, III/IV (%) 73/27 60/40 55/45
Mean LVEF (%) 29 47 61
Mean systolic BP (mmHg) 122 132 133
Median NT pro BNP (pg/ml) 1420 997 602
23
HFrEF, HFmrEF and HFpEF: Similarities &
Differences
Characteristic HFrEF (n=15135) HFmrEF (n=4078) HFpEF (n=9911)
LVEF <40% 40-50% ≥51%
Mean (median) age (yr) 64 (64) 69 (70) 72 (72)
Age >70 years (%) 30 48 57
Female (%) 22 37 57
Medical history (%)
Hypertension 66 79 89
Myocardial infarction 42 41 22
Atrial fibrillation 35 39 39
Diabetes 31 35 36
NYHA class I/II, III/IV (%) 73/27 60/40 55/45
Mean LVEF (%) 29 47 61
Mean systolic BP (mmHg) 122 132 133
Median NT pro BNP (pg/ml) 1420 997 602
24
7,599 patients with NYHA class II-IV heart failure and no LVEF exclusion
Female
Male
LVEF in Men and Women with Heart Failure
LVEF distribution in CHARM
<<McMurray JJV, Jackson AM et al Circulation. 2020;141:338–351>>
25
HFrEF, HFmrEF and HFpEF: Same Symptoms
and Signs
Essentially all patients limited by dyspnea on exertion, irrespective of LVEF category
PND – Paroxysmal nocturnal dyspnea; JVD – Jugular venous distension; S3 – Third heart sound
p-values (trend) for all differences <0.001 except rales
Dyspnea missing in IPreserve & TOPCAT.
0
10
20
30
40
50
%
HFrEF HFmrEF HFpEF
Dyspnea on effort
HFrEF 85.4%
HFmrEF 94.4%
HFpEF 93.7%
26
0
10
20
30
40
50
60
70
80
90
100
Clinical Summary Score Overall Summary Score Total Symptom Score
KCCQ
Summary
Score
*
HFrEF HFmrEF HFpEF
HFrEF, HFmrEF and HFpEF: Health-related
Quality of Life
*Unadjusted mean scores
Trials analysed – ATMOSPHERE, PARADIGM-HF, PARAGON-HF & TOPCAT-Americas
p-values for all differences <0.001
Maximum possible score 100
Lower score = worse HRQL
27
HFrEF, HFmrEF and HFpEF: Hospitalization
Figures truncated to 5 years but event rates based on entire follow-up period
Total HF hospitalizations investigator reported except for PARAGON-HF.
HFrEF – ATMOSPHERE & PARADIGM-HF
HFpEF – CHARM-Preserved, IPreserve, PARAGON-HF & TOPCAT-Americas
Similar rates of heart failure hospitalization
28
HFrEF, HFmrEF and HFpEF: Mortality
HFrEF – ATMOSPHERE & PARADIGM-HF
HFpEF – CHARM-Preserved, IPreserve, PARAGON-HF & TOPCAT-Americas
Figures truncated to 5 years but event rates based on entire follow-up period
HFrEF HFmrEF
HFpEF
HFrEF, HFmrEF and HFpEF: Causes of Death
Sudden death
Worsening HF
Other CV causes
Non-CV/unknown
16%
35%
22%
27%
17%
20%
25%
38%
28% 30%
16%
26%
Any CV death = 84% Any CV death = 72%
Any CV death = 62% 29
30
• What is heart failure?
• Left ventricular ejection fraction
• History of heart failure phenotyping by ejection fraction – HFrEF,
HFpEF and HFmrEF
• Clinical characteristics of, and outcomes in, patients with HFrEF,
HFpEF and HFmrEF
• Changing epidemiology of heart failure
• Goals of therapy and treatments available
Outline of Presentation
31
Increasing Prevalence of HF in the USA
<<AHA Policy Statement: Forecasting the Impact of Heart Failure in the United States, Circ Heart Fail. 2013;6:606-619>>
32
Patients hospitalized with heart failure (“Get With The Guidelines”)
Ptrend<0.0001
EF ≥50%
EF <40%
EF ≥40 <50%
Changing HF Phenotype Over Time
<<Steinberg BA et al Circulation 2012; 126: 65-75>>
33 35 36 35 38 39
15 14 14 14 13 14
52 51 50 51 49 47
33
Projected Cost of HF in the USA
<<AHA Policy Statement: Forecasting the Impact of Heart Failure in the United States, Circ Heart Fail. 2013;6:606-619>>
34
• What is heart failure?
• Left ventricular ejection fraction
• History of heart failure phenotyping by ejection fraction – HFrEF,
HFpEF and HFmrEF
• Clinical characteristics of, and outcomes in, patients with HFrEF,
HFpEF and HFmrEF
• Changing epidemiology of heart failure
• Goals of therapy and treatments available
Outline of Presentation
35
Overarching goal – slow progressive worsening over time
• Reduce rate of deterioration in symptoms and quality of life (or
even improve symptoms) – physician evaluation (NYHA class), patient
self-assessment (KCCQ)
• Reduce episodes of worsening e.g. leading to ED visits and
hospital admission (and re-admissions) – time-to-first event,
recurrent/repeat events
• Reduce mortality, where possible – generally only cardiovascular
mortality modifiable
Goals of Therapy
36
• ACE inhibitors and ARBs
• Digoxin
• Beta-blockers
• MRAs
• Ivabradine
• Sacubitril/valsartan
• SGLT2 inhibitors
• Vericiguat?
• Devices: ICD, CRT
Treatments for Heart Failure
HFrEF HFpEF
37
Effects of Candesartan and Spironolactone
According to LVEF
Because of the growing
interest in HFmrEF
(“mid-range” or
“mildly-reduced” EF)
38
CV death or HF hospitalizations (time-to-first)
Continuous HR
placebo better
95% CI
active better
Continuous HR
Candesartan and Spironolactone: Treatment
Effect by LVEF
Adapted from Dewan P et al Eur J Heart Fail 2020;22: 898-901
39
• Multiple effective therapies are available for patients with HFrEF, presently defined as a LVEF <40%
• The remaining patients with heart failure were originally described as having HFpEF, although,
recently, HFpEF has been re-defined – people with a LVEF 40-50% have been categorized as
having HFmrEF and only those with a LVEF >50% now described as having HFpEF (arbitrary cut-
points)
• No treatments are approved for people with HFpEF and HFmrEF, although they account for 50% of
cases of heart failure and are increasing in incidence and prevalence (as the predominant
phenotypes in aging populations)
• Although patients HFpEF and HFmrEF have a lower mortality rate (and proportionately more non-
cardiovascular deaths) than patients with HFrEF, their rates of HF hospitalization are nearly as high
as in patients with HFrEF
• People with HFpEF and HFmrEF have at least as many symptoms and as great a reduction in
quality of life as patients with HFrEF
• Heart failure with LVEF ≥40% is an important unmet treatment need
Summary
40
Sacubitril/Valsartan Efficacy and
Safety in HFpEF
Scott Solomon, MD
Professor, Harvard Medical School
Brigham and Women’s Hospital
41
<<Vardeny O. JACC-HF 2014>>
Sacubitril/Valsartan: A First-in-Class Angiotensin
Receptor Neprilysin Inhibitor
Sacubitril/Valsartan
Valsartan
Sacubitril
Sacubitrilat
NH
N
N
N
N
O
OH
O
Heart Failure Renin
Angiotensin System
Vasoactive
Peptide System
pro-BNP
NT-pro BNP
ANP BNP CNP
Adrenomedullin
Bradykinin
Substance P
(angiotensin II) AT1 receptor
Angiotensinogen
(liver secretion)
Angiotensin I
Angiotensin II
Vasoconstriction
 blood pressure
 sympathetic tone
 aldosterone
 fibrosis
 hypertrophy
Vasodilation
 blood pressure
 sympathetic tone
 aldosterone levels
 fibrosis
 hypertrophy
Natriuresis/Diuresis
Inactive
fragments
OH
O
N
H
O
O
H
O
Novel crystalline complex
consisting of the molecular
moieties of valsartan and
sacubitril in an equimolar ratio
Neprilysin
42
Sacubitril/Valsartan Efficacy Results in HFrEF
PARADIGM-HF - Significant Reduction in Primary Endpoint, CV Death and All-Cause Mortality
Primary Endpoint (CV death
and HF hospitalization)
0
16
32
40
24
8
Enalapril
(n=4212)
Sacubitril/
Valsartan
(n=4187)
HR = 0.80 (0.73-0.87)
P = 0.0000004
Number needed to treat = 21
360 720 1080
0 180 540 900 1260
Kaplan-Meier
Estimate
of
Cumulative
Rates
(%)
Days After Randomization
1117
914
4187
4212
3922
3883
3663
3579
3018
2922
2257
2123
1544
1488
896
853
249
236
Patients at Risk
Sac/Val
Enalapril
835
711
All-cause Mortality
Enalapril
(n=4212)
Sacubitril/
Valsartan
(n=4187)
HR = 0.84 (0.76-0.93)
P<0.0001
360 720 1080
0 180 540 900 1260
0
16
32
24
8
Kaplan-Meier
Estimate
of
Cumulative
Rates
(%)
Days After Randomization
4187
4212
4056
4051
3891
3860
3282
3231
2478
2410
1716
1726
1005
994
280
279
Patients at Risk
Sac/Val
Enalapril
CV Death
Enalapril
(n=4212)
Sacubitril/
Valsartan
(n=4187)
HR = 0.80 (0.71-0.89)
P = 0.00008
Number need to treat = 32
360 720 1080
0 180 540 900 1260
0
16
32
24
8
693
558
Kaplan-Meier
Estimate
of
Cumulative
Rates
(%)
Days After Randomization
4187
4212
4056
4051
3891
3860
3282
3231
2478
2410
1716
1726
1005
994
280
279
Patients at Risk
Sac/Val
Enalapril
<<McMurray et al. NEJM 2014 371:993-1004>>
43
Phase II Results in HFpEF
PARAMOUNT - Improvement in Several Domains
NT-proBNP: N-terminal pro-brain natriuretic peptide; NYHA: New York Heart Association
12-week randomized, double-blind, active-controlled study evaluating sacubitril/valsartan compared to valsartan
on changes in NT-proBNP, cardiac structure and function, and HF symptoms/signs in 301 HFpEF patients
<<Solomon et al. Lancet 2012 380(9851):1387-1395>>
NT-proBNP
(pg/mL)
Week 36
P=0.20
Week 12
P=0.005
Week 4
P=0.063
1000
200
300
400
500
600
700
800
900
Weeks post-randomization
0 5 10 15 20 25 30 35 40
Entresto
Valsartan
Improvement in NT-proBNP Improvement in NYHA class
Percent
of
patients
100
0
20
30
40
50
60
70
80
90
10
P=0.11
P=0.05
Week 12 Week 36
Sac/Val Valsartan Sac/Val Valsartan
Worsened Unchanged Improved
Improvement in left atrial size
P=0.18 P=0.003
36 Weeks
12 Weeks
2
-6
-5
-4
-3
-2
-1
0
1
Entresto
Valsartan
Change
in
left
atrial
volume
(mL)
44
<<Solomon SD, et al. JACC-Heart Fail 2017; 5(7):471-482.>>
Randomization 1:1
~35 months
Valsartan 160 mg BID*
Sacubitril/Valsartan 97/103 mg BID*
On top of optimal background medications for co-
morbidities (excluding ACEi and ARB)
Double-blind treatment period
1 – 4 weeks
Sacubitril/
Valsartan
49/51 mg BID
Valsartan
80 mg BID
Eligibility
Screening
2 – 4 weeks
Active single-blind run-in
period
Valsartan
40 mg BID
PARAGON-HF: Trial Design
Randomized, double-blind, active comparator trial testing the hypothesis that sacubitril/valsartan, compared with
valsartan, would reduce the composite outcome of total HF hospitalizations and CV death
* target doses, down-titration allowed for tolerability
45
PARAGON-HF: Endpoints
Composite Primary Endpoint
• Composite of CEC-confirmed:
‒ Total (first and recurrent) HF
hospitalization
‒ CV death
Secondary Endpoints
• NYHA functional classification at 8 months
• KCCQ Clinical Summary Score at 8 months
• Time to first occurrence of worsening renal function
• Time to all-cause mortality
46
PARAGON-HF: Endpoints
Expanded Composite Endpoint
(Exploratory)
• Composite of CEC-confirmed:
‒ Total (first and recurrent) HF hospitalization
‒ CV death
‒ Urgent HF visits
Composite Primary Endpoint
• Composite of CEC-confirmed:
‒ Total (first and recurrent) HF
hospitalization
‒ CV death
Secondary Endpoints
• NYHA functional classification at 8 months
• KCCQ Clinical Summary Score at 8 months
• Time to first occurrence of worsening renal function
• Time to all-cause mortality
47
Valsartan chosen as the active comparator to treat comorbidities
• ~85% of patients treated with ACEi/ARB in prior HFpEF trials and prior to
PARAGON run-in
• Similar RAS blockade in both groups; sacubitril/valsartan 97/103 mg provides
similar plasma exposure as valsartan 160 mg
• Allowed assessment of incremental effect of sacubitril on RAS inhibition
• Of note, previous studies suggests a modest benefit from RAS inhibition
Key Design Considerations: Active Comparator
<<Yusuf et al. Lancet 2003;362:777–81; Rogers et al. European Journal of Heart Failure 2014;16:33–40.>>
48
Key Design Considerations: Recurrent Events
• HFpEF is characterized by frequent recurrent worsening HF events (HF hospitalization and Urgent HF visits)
• Each event is associated with worsening of long term prognosis
‒ In the CHARM program (candesartan) the risk of death increased with each additional HF hospitalization, with an
~30% cumulative incremental risk associated with 2nd or 3rd HF hospitalization
• Traditional TTFE analysis ignore all events after the first event
• This approach more accurately reflects the true burden of the illness on the patient and the healthcare system
• Commonly used in other diseases where recurrent encounters are common (e.g. asthma, multiple sclerosis) and included in
June 2019 FDA guidance “Treatment for Heart Failure: Endpoints for Drug Development”
Acutely
decompensated
Compensated
Chronically
decompensated
Clinical
status
Death
Recurrent
Worsening
Heart Failure
Event
Disease progression
<<Rogers et al. 2013>>
49
Key Inclusion & Exclusion Criteria
To Avoid Overlap with HFrEF Population and Ensure Certainty of HFpEF Diagnosis
Key inclusion criteria Key exclusion criteria
• ≥ 50 years of age and LVEF ≥ 45%
• Heart failure signs/symptoms (NYHA Class II–IV)
requiring treatment with diuretic(s) for at least 30
days prior to enrollment
• Structural heart disease (LAE or LVH by
echocardiography)
• Elevation in natriuretic peptides
• NT-proBNP 200 pg/ml if hospitalized for HF
within 9 months, and 300 pg/ml if not
hospitalized; 3-fold increase for patients in
AF at enrollment
• Any prior measurement of LVEF < 40%
• Current acute decompensated heart failure
• Alternative reason for signs and symptoms
• SBP < 110 or ≥ 180mm Hg (or > 150mm Hg if
patient not taking 3 or more antihypertensive
medications)
<<Solomon SD, et al. JACC-Heart Fail 2017>>
LAE: Left Atrial Enlargement; LVH: Left Ventricular Hypertrophy; SBP: Systolic Blood Pressure
50
Clinical Endpoint Committee (CEC) Adjudication
Criteria for HF hospitalization and Urgent HF Visit
Strict CEC definition for adjudicating HF hospitalizations and Urgent HF visits, consistent with
the Standardized Data Collection for Cardiovascular Trials Initiative (SCTI) (Hicks et al 2018),
all of the below required from source documentation:
Criteria HF Hospitalization
Unplanned presentation with HF exacerbation 
Stay traversing change in calendar date 
At least one symptom of worsening HF 
At least two signs of worsening HF 
Qualified treatments directed at treating HF 
<<Hicks et al. Circulation 2018 137(9):961-972>>
51
Clinical Endpoint Committee (CEC) Adjudication
Criteria for HF hospitalization and Urgent HF Visit
Strict CEC definition for adjudicating HF hospitalizations and Urgent HF visits, consistent with
the Standardized Data Collection for Cardiovascular Trials Initiative (SCTI) (Hicks et al 2018),
all of the below required from source documentation:
<<Hicks et al. Circulation 2018 137(9):961-972>>
Criteria HF Hospitalization Urgent HF Visit
Unplanned presentation with HF exacerbation  
Stay traversing change in calendar date  Not required
At least one symptom of worsening HF  
At least two signs of worsening HF  
Qualified treatments directed at treating HF   + must include IV HF
treatment
52
PARAGON-HF was a Global Trial
848 Sites in 43 Countries
559
370
1327
762
480
79
110 109 60 47 32 12
388 254 204 123 102 65 42 41 38 36 14 12 8
1804
363 310 252 241 180 170 110 63 60 23 19 13
265 83 79 79 70
61 48 33 24 20
53
Patient Disposition: High Completion Rate
Screened 10,359 in 848 sites in 43 countries
5,746 entered the valsartan run-in
5,205 entered the sacubitril/valsartan run-in
Final vital status known, n = 2,385
Final vital status unknown, n = 4*
Final vital status known n = 2,402
Final vital status unknown n = 5*
Excluded from FAS because of site
closure due to GCP violation
Sacubitril/
Valsartan
N = 12
Valsartan
N = 14
Sacubitril/Valsartan run-in failures
n = 384 (7.4%)
N = 4,796
Valsartan run-in failures
n = 541 (9.4%)
4,822 Randomized
Median follow-up 35 months
Only 7 Patients Withdrew Consent and 2 Patients Lost to Follow-up at End of Study
Sacubitril/Valsartan 200 mg BID
N = 2,407
Valsartan 160 mg BID
N = 2,389
* 7 withdrew consent, 2 lost to follow-up
<<Solomon SD et al. N Engl J Med 2019;381:1609-1620 >>
54
Baseline Demographics
Sacubitril/Valsartan
N=2,407
Valsartan
N=2,389
Age (years) – mean (SD) 72.7 (8.3) 72.8 (8.5)
Sex Male 48% 48%
Female 52% 52%
Race Caucasian 82% 81%
Black 2% 2%
Asian 12% 13%
Region North America* 12% 11%
Latin America 8% 8%
Western Europe 29% 29%
Central Europe 36% 36%
Asia/Pacific/other** 16% 16%
Baseline LVEF – median [IQR] 57 [51,62] 57 [50,63]
Baseline NT-proBNP (pg/mL) – median (IQR) – Sinus rhythm 611 [389, 1072] 583 [370, 1046]
Baseline NT-proBNP (pg/mL) – median (IQR) – Atrial fibrillation 1536 [1153, 2212] 1633 [1191, 2368]
*North America = US and Canada. **Asia/Pacific/Other includes Israel, South Africa, Australia, China, India, Japan, Rep of Korea, Philippines, Singapore, Taiwan.
<<Solomon SD et al. N Engl J Med 2019;381:1609-1620 >>
Well Balanced and Geographically Diverse
55
Sacubitril/Valsartan
N=2,407
Valsartan
N=2,389
NYHA class at randomization Class I 3% 3%
Class II 78% 77%
Class III 19% 20%
Class IV 0.3% 0.5%
BMI – mean (SD) 30.2 (4.9) 30.3 (5.1)
Baseline mean SBP (SD) / mean DBP (SD) at randomization 130.5 (15.6) / 74.3 (10.6) 130.6 (15.3) / 74.3 (10.4)
Medical history Hypertension 96% 95%
Diabetes mellitus 43% 43%
Atrial fibrillation or flutter at screening ECG 32% 33%
Hospitalization for HF within 9 months 38% 39%
Medications
At screening ACEi or ARBs 86% 86%
At randomization Diuretics 95% 96%
MRA 25% 27%*
Beta blockers 80% 79%
Calcium channel blockers 34% 34%
Baseline characteristics balanced if not noted by *P<0.05.
<<Solomon SD et al. N Engl J Med 2019; 381:1609-1620 >>
Balanced Baseline Cardiovascular Profile
Baseline Demographics
56
PARAGON-HF Primary Composite Endpoint Results
*Semiparametric LWYY method
Recurrent Event Analysis of Total HF Hospitalizations and CV Death*
Valsartan (n = 2389)
1009 events, 14.6 per 100 pt-years
Sacubitril/Valsartan (n = 2407)
894 events, 12.8 per 100 pt-years
Rate ratio 0.87 (95% CI 0.75, 1.01)
P = 0.059
Total HF hospitalizations and CV death
Mean
cumulative
events
per
100
patients
Years
55
0
5
10
15
20
25
30
35
40
45
50
0 1 2 3 4
57
HF Hospitalizations and CV Death
*HF Hospitalization = Joint frailty model
**CV death = Cox’s proportional hazard model
Mean
cumulative
events
per
100
patients
55
0
0
10
15
20
25
30
35
40
45
50
5
1 2 3 4
HF hospitalizations*
Events
Valsartan 797
Sacubitril/Valsartan 690
Rate ratio 0.85 (95% CI 0.72, 1.00)
Years
Proportion
0.55
0.00
0
0.10
0.15
0.20
0.25
0.30
0.35
0.40
0.45
0.50
0.05
1 2 3 4
CV Death**
Years
Patients
Valsartan 212 (8.9%)
Sacubitril/Valsartan 204 (8.5%)
Hazard ratio 0.95 (95% CI 0.79, 1.16)
58
• Expanded Composite Endpoint
‒ Prespecified exploratory endpoint adding CEC-confirmed urgent HF visits
• Investigator reported events
‒ Prespecified analysis using total events reported by investigators in the trial
• Re-adjudication of CEC-unconfirmed HF hospitalization events
‒ Implemented following recommendation from FDA
‒ Intended to address concerns that strict adjudication criteria may have discarded a number of
true HF hospitalization events
Analyses Supporting Efficacy on Reducing
Morbidity of HFpEF
59
• Urgent, non-hospitalized, heart failure visits have similar prognostic and
discriminative ability as heart failure hospitalizations
• Incorporated into composite endpoint of recent heart failure trials (MADIT-CRT,
DAPA-HF) and included in June 2019 FDA guidance “Treatment for Heart Failure:
Endpoints for Drug Development”
‒ Of 1582 worsening HF events, 95 (6.0%) were urgent HF visits.
• Patients whose first episode of worsening HF event was an urgent visit had
similar age, comorbidities, baseline NT-proBNP, and MAGGIC risk scores to
those in whom the first HF event was a hospitalization.
Expanded Composite Endpoint
CV Death, Total HF Hospitalizations and Urgent HF Visits
CEC-Adjudicated Pre-Specified Exploratory Endpoint
60
Expanded Composite Endpoint
CV Death, Total HF Hospitalizations and Urgent HF Visits
Prospectively CEC-adjudicated Pre-Specified Exploratory Endpoint
Sacubitril/Valsartan
N=2407
Valsartan
N=2389
Rate Ratio/
Hazard Ratio
(95% CI)
P-Value
(2-sided)
n Rate per 100 pt yr
(95% CI)
n Rate per 100 pt yr
(95% CI)
CEC-confirmed
Primary Endpoint
894
12.8
(12.0 – 13.7)
1009
14.6
(13.7 – 15.6)
0.87
(0.75 –1.01)
0.059
Expanded Composite
Endpoint
934
13.4
(12.6 – 14.3)
1064
15.4
(14.5 – 16.4)
0.86
(0.75 – 0.99)
0.040
Total worsening HF* 730
10.5
(9.7 – 11.3)
852
12.4
(11.5 – 13.2)
0.84
(0.71 – 0.98)
0.031
* Total worsening HF events include HF hospitalizations and urgent HF visits
Includes 95 additional events (40 events in sacubitril/valsartan and 55 events in valsartan)
61
Primary Composite Endpoint: Investigator-Reported
Sacubitril/Valsartan
N=2407
Valsartan
N=2389
Rate Ratio/
Hazard Ratio
(95% CI)
P-Value
(2-sided)
n Rate per 100 pt yr
(95% CI)
n Rate per 100 pt yr
(95% CI)
CEC-confirmed
Primary Endpoint
894
12.8
(12.0 – 13.7)
1009
14.6
(13.7 – 15.6)
0.87
(0.75 –1.01)
0.059
Investigator-Reported
Primary Endpoint
1064 15.3
(14.4 – 16.2)
1241 18.0
(17.0-19.0)
0.84
(0.74 – 0.97)
0.014
Total Heart Failure
Hospitalizations
916 13.2
(12.3 – 14.0)
1087 15.8
(14.8 – 16.7)
0.82
(0.71 – 0.96)
0.010
Cardiovascular
Death
148 2.1
(1.8 – 2.5)
154 2.2
(1.9 – 2.6)
0.95
(0.76 – 1.19)
0.665
Includes a net of 402 additional events (170 events in sacubitril/valsartan and 232 events valsartan)
62
Clinical Endpoint Committee (CEC) Adjudication
Criteria for HF hospitalization
Strict CEC definition for adjudicating HF hospitalizations consistent with the Standardized Data
Collection for Cardiovascular Trials Initiative (SCTI) (Hicks et al 2018), all of the below required
from source documentation:
HF hospitalization
 Unplanned presentation with HF exacerbation
 Stay traversing change in calendar date
 At least one symptom of worsening HF
 At least two signs of worsening HF
 Qualified treatments directed at treating HF
<<Hicks et al. Circulation 2018 137(9):961-972>>
63
While stringent adjudication criteria increased specificity, it may have discarded a
number of true HF hospitalization events that did not meet the strict definition,
thereby reducing sensitivity
FDA recommended an independent panel to re-adjudicate unconfirmed HF
hospitalizations:
• The trigger was not concern regarding the quality of the initial CEC adjudication but that
the strict definition used reduced the sensitivity
• Consisted of 3 independent, blinded HF experts
• Reviewed 566 investigator-reported but CEC unconfirmed HF hospitalizations
• Each expert ascribed a probability of being a true HF hospitalization based on clinical
judgement using CEC endpoint packages (100%, 75%, 50%, 25%, 0%)
• The 3 probabilities were averaged for each event and used in a multiple imputation
approach to include re-adjudicated events in the primary analysis
FDA Recommended Re-Adjudication Panel
64
Primary Endpoint Incorporating CEC-confirmed and
Re-adjudicated Events
Average no. of events/N
EAR
Sacubitril/Valsartan vs.
Valsartan
Endpoint Sacubitril/
Valsartan
N=2407
Valsartan
N=2389
Rate ratio
(95% CI)
2-sided
P-value
CEC-confirmed Primary
Endpoint
894
(12.8)
1009
(14.6)
0.87
(0.75 –1.01)
0.059
Re-adjudication Analysis
Primary Endpoint
999
(14.3)
1135
(16.5)
0.86
(0.75 – 1.00)
0.043
Total HF hospitalizations
795
(11.4)
923
(13.4)
0.84
(0.72 – 0.99)
0.037
EAR: exposure-adjusted rate
Includes equivalent of 231 additional HF Hospitalizations (105 events in sacubitril/valsartan and 126 events in valsartan)
65
Summary of Primary and Expanded Composite
Endpoint Results
Endpoint Sac/Val
N=2407
Valsartan
N=2389
Rate Ratio
(95% CI)
Rate Ratio (95% CI) 2-sided
P-value
CEC-confirmed
Primary endpoint 894 1009 0.870 (0.753, 1.005) 0.059
Expanded composite endpoint* 934 1064 0.861 (0.747, 0.993) 0.040
Supportive analyses of the primary endpoint
Investigator reported
primary endpoint events
1064 1241 0.843 (0.736, 0.966) 0.014
Investigator reported expanded
composite endpoint**
1200 1414 0.834 (0.733, 0.950) 0.006
Re-adjudication analysis
of primary endpoint events
999 1135 0.865 (0.751, 0.995) 0.043
* Exploratory endpoint including CV death and total HF hospitalizations + urgent HF visits
** Investigator reported CV death and total HF hospitalizations + urgent HF visits
0.4 1
0.6 0.8 1.2 1.4
sacubitril/valsartan better valsartan better
66
Secondary Outcomes
67
Change in NYHA Functional Class and KCCQ CSS
Favors Sacubitril/Valsartan
Kansas City Cardiomyopathy Questionnaire (KCCQ) Clinical Summary Score (CSS) based on the physical limitation and total symptom score domains
LSM: least square mean; OR: odds ratio
*Patients who died were included in the worsened category
Sac/Val Valsartan
Effect Size
(95% CI)
P-value
(2-sided)
NYHA class favorable change at 8 months – n 2316 2302
Improved
Unchanged
Worsened*
15.0%
76.3%
8.7%
12.6%
77.9%
9.6%
OR, 1.45 (1.13 – 1.86) 0.004
KCCQ clinical summary score at 8 months – n 2250 2226
LSM of change from baseline (SE) -1.5 (0.4) -2.5 (0.4) Difference, 1.0 (0.0 – 2.1) 0.051
≥5 point Improvement 33.0% 29.6% 0.019
≥5 point Deterioration 33.5% 34.5% 0.467
68
Composite Renal Endpoint
Sacubitril/Valsartan Reduced the Risk of the Composite Renal Endpoint
Primarily Driven by Lower Incidence of ≥50% Reduction in eGFR
Similar effect seen in PARADIGM-HF with lower risk of the same renal composite endpoint with sacubitril/valsartan compared with enalapril
Composite
Sacubitril/
Valsartan
N=2407
n (%)
Valsartan
N=2389
n (%)
Composite renal endpoint 33
(1.4)
64
(2.7)
(i) Renal death 1 1
(ii) Reaching ESRD 7 12
(iii) ≥50% decline in
eGFR relative to
baseline
27 60
0.10
0.00
0.02
0.04
0.06
0.08
0 1 2 3 4
2389
2407
2273
2320
2145
2195
1033
1049
135
129
Number at Risk
valsartan
sacubitril/valsartan
Proportion
of
Patients
Years
HR 0.50 (95% Cl 0.33 – 0.77), p = 0.001
valsartan
sacubritril/valsartan
69
0.4 0.8 1.6
0.4 0.8 1.6
Pre-Specified Subgroups for Primary Endpoint
Subgroup
No. of events
/patients
Rate ratio
(95% CI)
Overall 1903/4796 0.87 (0.75−1.01)
Age (years)
Less than 65 years 276/825 0.99 (0.64−1.53)
65 years or older 1627/3971 0.85 (0.73−0.99)
Age (years)
Less than 75 years 938/2597 0.82 (0.66−1.02)
75 years or older 965/2199 0.92 (0.76−1.11)
Sex*
Male 980/2317 1.03 (0.85−1.25)
Female 923/2479 0.73 (0.59−0.90)
Race
Caucasian 1542/3907 0.83 (0.71−0.97)
Black 89/102 0.69 (0.24−1.99)
Asian 237/607 1.25 (0.87−1.79)
Other 35/180 1.03 (0.47−2.28)
Region
North America 478/559 0.80 (0.57−1.14)
Latin America 83/370 1.33 (0.75−2.36)
Western Europe 544/1390 0.69 (0.53−0.89)
Central Europe 466/1715 0.97 (0.76−1.24)
Asia/Pacific 332/762 1.10 (0.79−1.52)
Diabetic
Yes 1041/2069 0.89 (0.74−1.09)
No 862/2727 0.84 (0.68−1.03)
LVEF*
at or below median (57%) 1048/2495 0.78 (0.64−0.95)
above median (57%) 855/2301 1.00 (0.81−1.23)
History of AF
Yes 1140/2521 0.83 (0.69−1.00)
No 763/2275 0.94 (0.75−1.18)
Screening NT−proBNP
at or below median (911
pg/mL)
708/2379
0.85 (0.67−1.08)
above median (911 pg/mL) 1183/2378 0.87 (0.73−1.05)
Screening SBP
at or below median (137
mmHg)
984/2450
0.88 (0.72−1.07)
above median (137 mmHg) 919/2344 0.86 (0.69−1.06)
MRA use
Yes 545/1239 0.73 (0.56−0.95)
No 1358/3557 0.94 (0.79−1.12)
Baseline eGFR
<60 mL/min/1.73m2 1115/2341 0.79 (0.66−0.95)
>=60 mL/min/1.73m2 787/2454 1.01 (0.80−1.27)
NYHA class
I/II 1402/3843 0.90 (0.76−1.06)
III/IV 499/951 0.79 (0.59−1.06)
Subgroup
No. of events
/patients
Rate ratio
(95% CI)
Rate ratio (95% CI) Rate ratio (95% CI)
*Multivariate interaction P < 0.05.
Evidence for Heterogeneity for Two Subgroups in Multivariable Analysis
<<Solomon SD et al. N Engl J Med; 2019 >>
70
0.4 0.8 1.6
0.4 0.8 1.6
Pre-Specified Subgroups for Primary Endpoint
Subgroup
No. of events
/patients
Rate ratio
(95% CI)
Overall 1903/4796 0.87 (0.75−1.01)
Age (years)
Less than 65 years 276/825 0.99 (0.64−1.53)
65 years or older 1627/3971 0.85 (0.73−0.99)
Age (years)
Less than 75 years 938/2597 0.82 (0.66−1.02)
75 years or older 965/2199 0.92 (0.76−1.11)
Sex*
Male 980/2317 1.03 (0.85−1.25)
Female 923/2479 0.73 (0.59−0.90)
Race
Caucasian 1542/3907 0.83 (0.71−0.97)
Black 89/102 0.69 (0.24−1.99)
Asian 237/607 1.25 (0.87−1.79)
Other 35/180 1.03 (0.47−2.28)
Region
North America 478/559 0.80 (0.57−1.14)
Latin America 83/370 1.33 (0.75−2.36)
Western Europe 544/1390 0.69 (0.53−0.89)
Central Europe 466/1715 0.97 (0.76−1.24)
Asia/Pacific 332/762 1.10 (0.79−1.52)
Diabetic
Yes 1041/2069 0.89 (0.74−1.09)
No 862/2727 0.84 (0.68−1.03)
LVEF*
at or below median (57%) 1048/2495 0.78 (0.64−0.95)
above median (57%) 855/2301 1.00 (0.81−1.23)
History of AF
Yes 1140/2521 0.83 (0.69−1.00)
No 763/2275 0.94 (0.75−1.18)
Screening NT−proBNP
at or below median (911
pg/mL)
708/2379
0.85 (0.67−1.08)
above median (911 pg/mL) 1183/2378 0.87 (0.73−1.05)
Screening SBP
at or below median (137
mmHg)
984/2450
0.88 (0.72−1.07)
above median (137 mmHg) 919/2344 0.86 (0.69−1.06)
MRA use
Yes 545/1239 0.73 (0.56−0.95)
No 1358/3557 0.94 (0.79−1.12)
Baseline eGFR
<60 mL/min/1.73m2 1115/2341 0.79 (0.66−0.95)
>=60 mL/min/1.73m2 787/2454 1.01 (0.80−1.27)
NYHA class
I/II 1402/3843 0.90 (0.76−1.06)
III/IV 499/951 0.79 (0.59−1.06)
Subgroup
No. of events
/patients
Rate ratio
(95% CI)
Rate ratio (95% CI) Rate ratio (95% CI)
*Multivariate interaction P < 0.05.
Evidence for Heterogeneity for Two Subgroups in Multivariable Analysis
<<Solomon SD et al. N Engl J Med; 2019 >>
71
Significant Heterogeneity in Multivariate Analysis Driven
by Ejection Fraction and Sex
Primary endpoint
Male 980/2317 1.03 (0.85–1.25)
0.73 (0.59–0.90)
Sex
Female 923/2479
at or below median (57%) 1048/2495 0.78 (0.64–0.95)
1.00 (0.81–1.23)
LVEF
above median (57%) 855/2301
Rate ratio (95% CI)
P = 0.035 (categorical)
P = 0.004 (continuous)
P = 0.002 (categorical)
P = 0.005 (continuous)
Multivariable
interaction P-value
Rate ratio
(95% CI)
No. of events/
patients
Subgroup
Only Interactions for Sex and Ejection Fraction Remained Nominally Significant
<<Solomon SD et al. N Engl J Med; 2019 >>
0.4 1
0.6 0.8 1.2 1.4
72
Subgroup
No. of
Events/Patients
Rate Ratio
(95% CI)
Overall EF 1903/4796 0.87 (0.75–1.01)
≤50 512/1208 0.82 (0.63–1.06)
>50–57 536/1287 0.77 (0.57–1.03)
>57–63 467/1202 0.91 (0.68–1.22)
>63 388/1099 1.09 (0.80–1.47)
Treatment Effect by Ejection Fraction Quartiles
Primary Composite Total HF Hospitalizations and CV Death
Subgroup estimates are based on re-running the primary analysis model for each of the four subgroups defined by the by LVEF quartiles.
0.4 1.6
1
0.6 0.8 1.2 1.4
73
* Total worsening HF events include HF hospitalizations and urgent HF visits
Treatment Effect for HFpEF Patients with
LVEF ≤ Median
Endpoint
Sac/Val
N=1239
Valsartan
N=1256
Rate Ratio
(95% CI) Rate Ratio (95% CI)
Primary composite endpoint 457 591 0.78 (0.64 – 0.95)
Total HF hospitalizations 332 463 0.75 (0.60 – 0.95)
CV death 125 128 0.99 (0.77 – 1.26)
Expanded composite endpoint 480 622 0.78 (0.64 – 0.94)​
Total Worsening HF* 355 494 0.74 (0.60 – 0.93)
0.5 0.6 0.7 0.8 0.9 1 1.1 1.3
Val Better
Sac/Val Better
74
• Sacubitril/Valsartan safety profile well-characterized
‒ Over 2.6 million patient-years of post-marketing safety data in HFrEF
• Clinical development program with over 23,000 CHF patients
• Label adequately addresses potential risks
Safety
Existing Favorable Safety Profile in HFrEF
75
Summary of Adverse Events During Double-Blind Period
Sacubitril/Valsartan
N=2419
%
Valsartan
N=2402
%
Patients with at least one AE 95.1 95.5
Patients with at least one Serious AE (SAEs) 58.9 59.0
Patients who died 14.3 14.9
Patients who discontinued due to AEs 20.4 21.7
Discontinued due to SAEs 13.5 14.1
Discontinued due to non-serious AEs 7.4 8.4
AEs, SAEs, Deaths, and Discontinuation due to AEs were Similar in the Two Groups
N: Total number of patients in the treatment group in this safety analysis set.
76
Safety Topics of Interest
Hypotension Occurred More Frequently with Sacubitril/Valsartan
Renal Impairment and Hyperkalemia Occurred More Frequently with Valsartan
Angioedema was Rare but Numerically Greater in Sacubitril/Valsartan. No Case Involved Airway Compromise.
Sacubitril/Valsartan
N = 2419
(%)
Valsartan
N = 2402
(%)
Hypotension SBP <100 mmHg 15.7 10.7
Hypotension AEs 23.2 17.0
Hypotension AEs (SMQ) 33.2 26.9
Hyperkalemia Serum potassium ≥5.5 mmol/L 17.8 19.6
Serum potassium >6.0 mmol/L 3.1 4.2
Hyperkalemia AEs (NMQ) 11.2 15.1
Renal impairment Serum creatinine >2.0 mg/dL 10.9 13.8
Serum creatinine >2.5 mg/dL 3.8 4.4
Serum creatinine >3.0 mg/dL 1.6 1.7
Renal impairment AEs (SMQ) 20.3 23.7
Angioedema* 0.6 0.2
N: Total number of patients in the treatment group in this safety analysis set; NMQ: Novartis MedDRA Query, SMQ: Standardized MedDRA Query.
* Adjudication confirmed by AAC
77
Combined PARADIGM-HF &
PARAGON-HF Results
78
<<McMurray et al., Eur J Heart Fail 2013;15:1062–73>>
<<Solomon et al. J Am Coll Cardiol HF 2017;5:471–82>>
Pre-specified Pooled Analysis Across PARAGON-HF and
PARADIGM-HF with Similar Entry Criteria
PARADIGM-HF
• Age ≥ 18 years
• Signs/symptoms of heart failure (NYHA II-IV)
• LVEF ≤ 40%
• Elevation NT-proBNP (400/600 or BNP 100/150
depending on prior HF hospitalization)
PARAGON-HF
• Age ≥ 50 years
• Signs/symptoms of heart failure (NYHA II-IV)
• LVEF ≥ 45%
• Elevation NT-proBNP (200/600 or 300/900
depending on prior HF hospitalization and AF)
• Structural heart disease (LVH or LAE)
• No prior LVEF < 40%
Entry Criteria Study Design
Randomization
N=4822 Double-blind, randomized treatment period
Sacubitril/Valsartan 97/103 mg BID
Valsartan 160 mg BID
On top of optimal background medications for comorbidities
(excluding ACEI and ARB)
Event-driven, median follow-up 35 months
~2 weeks 1-4 weeks 2-4 weeks
Screening
Valsartan
80 mg BID
Sac/Val
49/51 mg BID
Single-blind run-in period
Sacubitril/Valsartan 97/103 mg BID
Enalapril 10 mg BID
On top of standard HF therapy (excluding ACEi and ARB)
Event-driven, median follow-up 27 months
Double-blind, randomized treatment period
Enalapril
10 mg BID
Sac/Val
49/51 mg BID
Sac/Val
97/103 mg BID
Single-blind run-in period
2 weeks 1-2 weeks 2-4 weeks
Randomization
N=8442
79
Sacubitril/Valsartan Compared to RAS inhibitor
Pre-specified Pooling of PARAGON-HF and PARADIGM-HF (N=13,195)
0.003
P-value
< 0.001
< 0.001
<<Solomon et al. Circulation. 2020;141:352–361>>
<<Solomon et al. AHA 2019>>
(hazard ratio)
(rate ratio)
(rate ratio)
P-value
(hazard ratio)
<0.001
<0.001
<0.001
(hazard ratio)
(hazard ratio)
80
Total HF Hospitalizations and CV Death by LVEF Septile Across
Spectrum of Ejection Fraction (PARAGON-HF and PARADIGM-HF)
LVEF Septile Entresto
EAR
Comparator
EAR
Rate Ratio
Estimate (95% CI)
Rate Ratio
Estimate (95% CI)
≤ 25% 18.8 23.0 0.816 (0.684,0.973)
>25% to ≤ 30% 14.9 20.7 0.720 (0.590,0.878)
>30% to ≤ 33% 14.6 18.9 0.767 (0.575,1.023)
>33% to ≤ 36% 12.9 16.7 0.759 (0.589,0.978)
>36% to ≤ 50% 13.1 15.1 0.878 (0.708,1.087)
>50% to ≤ 60% 12.4 15.4 0.794 (0.632,0.996)
> 60% 13.3 11.8 1.117 (0.855,1.458)
Favors Sac/Val Favors Comparator
EAR: exposure-adjusted rate
0.4 1.6
1
0.6 0.8 1.2 1.4
81
Treatment Effect Across Left Ventricular Ejection
Fraction
Sac/Val better
RASi better
Rate
Ratio
(Sacubitril/Valsartan
vs.
RASi)
Ejection Fraction (%)
PARAGON-HF and PARADIGM-HF
<<Solomon et al. Circulation. 2020;141:352–361>>
15 20 25 30 35 40 45 50 55 60 65 70 75
1.4
1.2
1
0.8
0.6
Total HF Hospitalizations and CV Death
RASi: renin-angiotensin-aldosterone–system inhibitor
82
Treatment Effect by LVEF and Sex
Ejection Fraction (%)
Benefit Extends to Higher LVEF in Women (PARAGON-HF and PARADIGM-HF)
Total HF Hospitalizations and CV Death
Rate
Ratio
(Sacubitril/Valsartan
vs.
RASi)
2
1
0.8
0.6
0.5
15 20 25 30 35 40 45 50 55 60 65 70 75
Men
Women
<<Solomon et al. Circulation. 2020;141:352–361>>
RASi: renin-angiotensin-aldosterone–system inhibitor
83
• Building on the pharmacodynamic and morphological benefits demonstrated in the Phase II trial,
PARAGON-HF was the largest and only active-controlled Phase III study in HFpEF
• Despite narrowly missing statistical significance for primary endpoint, the totality of evidence support a real
albeit modest benefit in the overall study population:
– Supportive analyses of the primary endpoint show a consistent treatment effect (13%-16%)
• Expanded composite endpoint incorporating urgent HF visits
• Investigator-reported endpoint events
• FDA-recommended re-adjudication of CEC-unconfirmed investigator reported HF hospitalizations
– Secondary efficacy endpoints (NYHA, KCCQ and renal composite endpoint) consistently favor
sacubitril/valsartan
• No new safety signals and the overall safety profile in HFpEF similar to HFrEF
• Benefit observed in overall trial population driven by large reductions in the total worsening HF events in
HFpEF patients with LVEF below normal
Summary of Sacubitril/Valsartan Effects in HFpEF
84
PARAGON-HF:
Clinical implications?
John McMurray, MD
BHF Cardiovascular Research Centre,
University of Glasgow & Queen Elizabeth University Hospital in Glasgow
85
Starting point: we have no approved therapies for HFpEF –
unmet need++
• Is sacubitril/valsartan beneficial in HFpEF?
• Is sacubitril/valsartan beneficial in all patients with HFpEF?
• If sacubitril/valsartan is beneficial in HFpEF, is the benefit
worthwhile?
• Is the safety profile of sacubitril/valsartan in HFpEF
acceptable?
Outline
86
PARAGON-HF Primary Composite Endpoint Results
*Semiparametric LWYY method
Recurrent Event Analysis of Total HF Hospitalizations and CV Death*
Valsartan (n = 2389)
1009 events, 14.6 per 100 pt-years
Sacubitril/Valsartan (n = 2407)
894 events, 12.8 per 100 pt-years
Rate ratio 0.87 (95% CI 0.75, 1.01)
P = 0.059
Total HF hospitalizations and CV death
Mean
cumulative
events
per
100
patients
Years
55
0
5
10
15
20
25
30
35
40
45
50
0 1 2 3 4
87
Summary of Primary and Expanded Composite
Endpoint Results
Endpoint Sac/Val
N=2407
Valsartan
N=2389
Rate Ratio
(95% CI)
Rate Ratio (95% CI) 2-sided
P-value
CEC-confirmed
Primary endpoint 894 1009 0.870 (0.753, 1.005) 0.059
Expanded composite endpoint* 934 1064 0.861 (0.747, 0.993) 0.040
Supportive analyses of the primary endpoint
Investigator reported
primary endpoint events
1064 1241 0.843 (0.736, 0.966) 0.014
Investigator reported expanded
composite endpoint**
1200 1414 0.834 (0.733, 0.950) 0.006
Re-adjudication analysis
of primary endpoint events
999 1135 0.865 (0.751, 0.995) 0.043
* Exploratory endpoint including CV death and total HF hospitalizations + urgent HF visits
** Investigator reported CV death and total HF hospitalizations + urgent HF visits
0.4 1
0.6 0.8 1.2 1.4
sacubitril/valsartan better valsartan better
88
Secondary Endpoint Results
KCCQ, NYHA and Renal Endpoints Consistently Favor Sacubitril/Valsartan
HR: hazard ratio; LSM: least square mean; OR: odds ratio
*defined as renal death, reaching end stage renal disease (ESRD), or ≥50% decline in estimated glomerular filtration rate (eGFR) relative to baseline
A sequential multiple testing procedure was used for the secondary analyses in the order of 1) KCCQ and NYHA 2) composite renal endpoint. All-cause mortality was not included in the multiple testing
strategy and was planned to be tested at full alpha level after rejection of the primary hypothesis.
Sacubitril/
Valsartan
Valsartan
Effect Size
(95% CI)
KCCQ clinical summary score at 8 months – n
LSM of change from baseline (SE)
2250
-1.5 (0.4)
2226
-2.5 (0.4)
LSM of difference
1.03 (-0.00 – 2.06)
NYHA functional classification at 8 months – n
Change from baseline - %
Improved
Unchanged
Worsened
2316
15.0%
76.3%
8.7%
2302
12.6%
77.9%
9.6%
OR for improvement
1.45 (1.13 – 1.86)
Composite renal endpoint* - n/N
33/2407
1.4%
64/2389
2.7%
HR = 0.504
(0.331 – 0.767)
All-cause mortality – n/N
342/2407
14.2%
349/2389
14.6%
HR = 0.970
(0.835 – 1.126)
89
Endpoint
RR/HR/OR (95% CI)
Sac/Val versus Val
RR/HR/OR (95% CI)
Sac/Val versus Val Z Score*
CEC confirmed: CV death and total HFH RR 0.87 (0.75, 1.01) -1.84
Change in NYHA class from baseline to 8 months OR 0.69 (0.54, 0.89) -2.63
Renal composite outcome HR 0.50 (0.33, 0.77) -3.20
Death from any cause HR 0.97 (0.84, 1.13) -0.41
Diff (Val – Sac/Val)
Change in KCCQ clinical summary score at 8 months -1.03 (-2.06, 0.00) -1.93
Average z score -2.00
p-value (2-sided) 0.0008
Effects of Sacubitril/Valsartan on the Primary and
Secondary Endpoints: Just due to chance?
0.4 0.6 0.8 1 1.2 1.6 2 3
-3 -2 -1 0 1 2 3
Favors Valsartan
Favors Sac/Val
For NYHA, the treatment effect was expressed in terms of the odds for unfavorable NYHA class changes so that favorable changes for sacubitril/valsartan
appear on the left side of the figure (note that 0.69=1/1.45)
* Observed z scores under simplified models; negative values indicate treatment effect in favor of Sacubitril/Valsartan.
The treatment effect distribution under the null hypothesis was simulated based on 100,000 random treatment permutations (within regions).
90
Starting point: we have no approved therapies for HFpEF –
unmet need++
• Is sacubitril/valsartan beneficial in HFpEF?
• Is sacubitril/valsartan beneficial in all patients with HFpEF?
• If sacubitril/valsartan is beneficial in HFpEF, is the benefit
worthwhile?
• Is the safety profile of sacubitril/valsartan in HFpEF
acceptable?
Outline
91
PARAGON-HF: Pre-Specified Subgroup Analyses
(Primary Outcome)
Left ventricular ejection fraction
Sex
<<Solomon SD et al. N Engl J Med 2019;381:1609-1620.>>
92
• Subgroup must be prespecified (not post hoc)
• Should be large – patients and events (smaller less reliable – subgroups
are always underpowered)
• Use a test for interaction and ideally adjust for multiplicity (ideally a
multivariable analysis)
• Examine the architecture of the total data and adjacent subgroups
(internal consistency)
• Interpret the results in the context of similar data from other trials (external
validation)
• Biological coherence/plausibility
How Do We Interpret Subgroups?
93
• Subgroup must be prespecified (not post hoc) 
• Should be large – patients and events (smaller less reliable – subgroups
are always underpowered) 
• Use a test for interaction and ideally adjust for multiplicity (ideally a
multivariable analysis) 
• Examine the architecture of the total data and adjacent subgroups
(internal consistency)
• Interpret the results in the context of similar data from other trials (external
validation)
• Biological coherence/plausibility
How Do We Interpret Subgroups?
94
Subgroup
No. of
Events/Patients
Rate Ratio
(95% CI)
Overall EF 1903/4796 0.87 (0.75–1.01)
≤50 512/1208 0.82 (0.63–1.06)
>50–57 536/1287 0.77 (0.57–1.03)
>57–63 467/1202 0.91 (0.68–1.22)
>63 388/1099 1.09 (0.80–1.47)
Treatment Effect by Ejection Fraction Quartiles
Primary Composite Total HF Hospitalizations and CV Death
Subgroup estimates are based on re-running the primary analysis model for each of the four subgroups defined by the by LVEF quartiles.
0.4 1.6
1
0.6 0.8 1.2 1.4
95
Total HF Hospitalizations and CV Death by LVEF Septile Across
Spectrum of Ejection Fraction (PARAGON-HF and PARADIGM-HF)
LVEF Septile Entresto
EAR
Comparator
EAR
Rate Ratio
Estimate (95% CI)
Rate Ratio
Estimate (95% CI)
≤ 25% 18.8 23.0 0.816 (0.684,0.973)
>25% to ≤ 30% 14.9 20.7 0.720 (0.590,0.878)
>30% to ≤ 33% 14.6 18.9 0.767 (0.575,1.023)
>33% to ≤ 36% 12.9 16.7 0.759 (0.589,0.978)
>36% to ≤ 50% 13.1 15.1 0.878 (0.708,1.087)
>50% to ≤ 60% 12.4 15.4 0.794 (0.632,0.996)
> 60% 13.3 11.8 1.117 (0.855,1.458)
Favors Sac/Val Favors Comparator
EAR: exposure-adjusted rate
0.4 1.6
1
0.6 0.8 1.2 1.4
96
How Do We Interpret Subgroups?
• Subgroup must be prespecified (not post hoc) 
• Should be large – patients and events (smaller less reliable –
subgroups are always underpowered) 
• Use a test for interaction and ideally adjust for multiplicity (ideally a
multivariable analysis) 
• Examine the architecture of the total data and adjacent subgroups
(internal consistency) 
• Interpret the results in the context of similar data from other trials
(external validation)
• Biological coherence/plausibility
97
• Subgroup must be prespecified (not post hoc) 
• Should be large – patients and events (smaller less reliable –
subgroups are always underpowered) 
• Use a test for interaction and ideally adjust for multiplicity (ideally a
multivariable analysis) 
• Examine the architecture of the total data and adjacent subgroups
(internal consistency) 
• Interpret the results in the context of similar data from other trials
(external validation)
• Biological coherence/plausibility
How Do We Interpret Subgroups?
98
Effects of Candesartan and Spironolactone
According to LVEF
Because of the growing
interest in HFmrEF
(“mid-range” or
“mildly-reduced” EF)
99
CV death or HF hospitalizations (time-to-first)
Candesartan and MRAs: Treatment Effect by LVEF
Adapted from Dewan P et al Eur J Heart Fail 2020;22: 898-901
100
CV death or HF hospitalizations (time-to-first)
Treatment Effect by LVEF: 3 Different Therapies
<<Dewan P et al Eur J Heart Fail 2020;22: 898-901>>
101
25 30 35 40 45 50 55 60
LVEF (%)
Systolic Dysfunction and Favourable Response to
Treatment Over Wider Range of LVEF?
HFmrEF HFpEF
HFrEF
Candesartan
Spironolactone
Sacubitril/valsartan
102
CV death or HF hospitalizations (time-to-first)
Treatment Effect by LVEF and Sex
Benefit Extends to Higher LVEF in Women
<<Dewan et al. Eur J Heart Fail 2020; 22:898-901>>
103
Starting point: we have no approved therapies for HFpEF –
unmet need++
• Is sacubitril/valsartan beneficial in HFpEF?
• Is sacubitril/valsartan beneficial in all patients with HFpEF?
• If sacubitril/valsartan is beneficial in HFpEF, is the benefit
worthwhile?
• Is the safety profile of sacubitril/valsartan in HFpEF
acceptable?
Outline
104
Estimated Absolute Benefit: Potential Events
Prevented by Treating 1000 Patients for 3 Years
*Calculations are based on the between treatment group differences in exposure-adjusted event rates
Primary
composite events
Prevented*
HF
hospitalizations
prevented*
PARADIGM-HF 122 76
PARAGON-HF: Overall 54 49
PARAGON-HF: LVEF ≤median 108 106
If there really is an effect in patients with a LVEF≤57%, it may be substantial
105
Starting point: we have no approved therapies for HFpEF –
unmet need++
• Is sacubitril/valsartan beneficial in HFpEF?
• Is sacubitril/valsartan beneficial in all patients with HFpEF?
• If sacubitril/valsartan is beneficial in HFpEF, is the benefit
worthwhile?
• Is the safety profile of sacubitril/valsartan in HFpEF
acceptable?
Outline
106
• Safety profile of sacubitril/valsartan confirmed
• PARAGON-HF demonstrated:
‒Consistent safety profile with PARADIGM-HF
‒Similar safety profile to valsartan
‒No new safety signals
• Hypotension and angioedema are currently addressed in the
sacubitril/valsartan label
• Sacubitril/valsartan results in lower rates of renal dysfunction and
hyperkalemia compared to valsartan
Sacubitril/Valsartan in HFpEF: Summary of Safety
Findings
107
• HFpEF is a syndrome (or syndromes – HFmrEF too?), causing disabling
symptoms and frequent hospitalization in older individuals, many of whom are
women, and for which there is no approved treatment
• The totality of evidence from PARAGON-HF supports the conclusion that
sacubitril/valsartan has clinical benefits, and a favorable benefit-to-risk profile, in
HFpEF, overall
• In a prespecified subgroup analysis, sacubitril/valsartan seemed to have more
benefit in patients with a LVEF at or below the median of 57% (and in women)
• Additional data to show that other drugs working on neurohumoral pathways also
seem to be beneficial in patients with a LVEF in lower part of the HFpEF range
• The potential reduction in events with sacubitril/valsartan in patients with a LVEF
≤median in PARAGON-HF was substantial and the safety profile is acceptable
PARAGON-HF: Summary
108
Closing Remarks
David Soergel, MD
Development Unit Head, Cardiovascular, Renal & Metabolism
Novartis Pharmaceuticals Corporation
109
Totality of Evidence Supports Benefit in HFpEF
• HFpEF is a debilitating disease with no approved therapy
• Entresto is approved in the HFrEF population
• Evidence supports extending use to adjacent HFpEF population to
reduce worsening HF events
‒ Greater benefit in patients with LVEF below normal
• Favorable safety profile
110
Sponsor Backup Slides Shown
Cardiovascular and Renal Drugs Advisory Committee
December 15, 2020
111
Country Cases Country Cases Country Cases Country Cases
Germany 52 Singapore 7 Bulgaria 5 Poland 2
United States 47 Brazil 7 South Africa 5 Switzerland 2
China 25 Croatia 7 Israel 4 Turkey 1
Italy 20 Guatemala 7 Austria 3 Philippines 1
Canada 16 Japan 7 United Kingdom 3 South Korea 1
Spain 15 Hungary 6 France 3 Colombia 1
Belgium 13 Taiwan 5 Czech Republic 3 Russian Federation 1
Australia 12 Netherlands 5 Denmark 3 Slovenia 1
Slovakia 12 Sweden 5 Argentina 2 Mexico 1
ALL008-13
Geographic Distribution of Investigator-reported
Urgent HF Visits (N = 310)
112
Trial/cohort Event type Number needed to treat (95% CI)
PARADIGM-HF Primary composite endpoint 8 (6 – 12)
PARADIGM-HF HF hospitalization 13 (10 – 21)
PARAGON-HF LVEF ≤median Primary composite endpoint 9 (6 – 18)
PARAGON-HF LVEF ≤median HF hospitalization 9 (7 – 17)
EFF101-14
Number Needed to Treat for 36 Months to
Prevent One Event
PARAGON-HF low LVEF vs. PARADIGM-HF
Primary composite endpoint based on relative rate reduction of total HF hospitalizations and CV death
113
• Sacubitril/Valsartan significantly reduced the risk of the composite renal endpoint, primarily driven by
lower incidence of ≥50% reduction in eGFR
Composite Renal Endpoint
* indicates nominal statistical significance (2-sided) with an alpha level of 0.05
A hazard ratio <1 indicates an effect in favor of Sac/Val.
Composite
Sacubitril/Valsartan
N=2407
n (%)
Valsartan
N=2389
N (%)
Odds Ratio
(95% CI)
P-value
(2-sided)
Composite renal endpoint
33/2407
(1.4)
64/2389
(2.7)
0.504
(0.331 – 0.767)
0.001*
(i) Renal death
1/2407
(<0.1)
1/2389
(<0.1)
0.930
(0.058 – 14.861)
0.959
(ii) Reaching end stage renal disease
(ESRD)
7/2407
(0.3)
12/2389
(0.5)
0.577
(0.227 – 1.467)
0.248
(iii) ≥50% decline in estimated glomerular
filtration rate (eGFR) relative to baseline
27/2407
(1.1)
60/2389
(2.5)
0.441
(0.280 – 0.694)
<0.001*
• Similar effect seen in PARADIGM-HF with lower risk of the same renal composite endpoint with
sacubitril/valsartan compared with enalapril (HR = 0.678; 95% CI 0.462 – 0.996; p = 0.0475)
ALL014-2
114
No. of Events Patients* (n)
1 event 671
2 events 234
3 events 88
4 events 32
5 events 24
6 events 20
≥ 7 events 14
Total 1083
• First events: 1083/1903 = 57%
• Recurrent events: 820/1903 = 43%
EFF201-3
* Patients with specific number of events
Number of Patients with 1 or More Primary Events
38% (412/1083) of patients had recurrent events
115
Descriptive Statistics of Contribution of Kth Event to Treatment
Difference in Number of Composite Primary Endpoint Events in
PARAGON-HF
Variable
Sac/Val
N = 2407
Valsartan
N = 2389
kth event contribution to
treatment difference
Total no. of primary composite endpoints 894 1009 115 (100%)
No. of patients with kth event, n
1st event 526 557 31 (26.96)
2nd event 192 220 28 (24.35)
3rd event 84 94 10 (8.70)
4th event 41 49 8 (6.96)
5th event 25 33 8 (6.96)
6th event 15 19 4 (3.48)
7th event 4 10 6 (5.22)
8th event 1 8 7 (6.09)
9th event 1 5 4 (3.48)
10th event 1 4 3 (2.61)
>10th event 1 3 6 (5.22)
EFF201-2
116
Truncated LWYY Analysis of the Primary Composite
Endpoint by Censoring after the Kth Event (FAS)
• Relative contribution of 8th and subsequent events to the overall treatment effect was approximately 13%
EFF201-4
K No. of Events Rate Ratio Rate Ratio
Sac/Val Valsartan Estimate (95% CI) Estimate (95% CI)
4 843 920 0.898 (0.789, 1.023)
5 868 953 0.892 (0.781, 1.020)
6 883 972 0.890 (0.776, 1.020)
7 887 982 0.885 (0.771, 1.017)
8 888 990 0.880 (0.765, 1.011)
No truncation 894 1,009 0.870 (0.753, 1.005)
Favors Sac/Val Favors Valsartan
0.7 0.8 0.9 1 1.1 1.2 1.3

CRDAC-20201215-UpdatedNovartisSlides.pdf

  • 1.
    1 Sacubitril/Valsartan (ENTRESTO®) Cardiovascular and RenalDrugs Advisory Committee Meeting Supplemental NDA 207620-S018 Novartis Pharmaceuticals Corporation December 15, 2020
  • 2.
    2 Introduction David Soergel, MD GlobalHead, Cardiovascular, Renal and Metabolism Development Novartis Pharmaceuticals Corporation
  • 3.
    3 To discuss howEntresto can help address a substantial unmet medical need in heart failure with preserved ejection fraction (HFpEF) • The understanding of HFpEF has evolved; PARAGON-HF contributes significantly to this evolution • Despite the narrow statistical miss, a true albeit modest treatment effect of Entresto is apparent in the PARAGON-HF study population ‒ Larger treatment effect observed in patients with lower LVEF and in women • Evidence from other trials, including PARADIGM-HF in HFrEF, increase confidence in the treatment effect of Entresto in HFpEF • Favorable safety profile in HFpEF, in line with the extensive experience in HFrEF Why We Are Here Today
  • 4.
    4 • Heart failure(HF) is segmented by left ventricular ejection fraction (LVEF) ‒ HF with reduced ejection fraction (HFrEF) ‒ HF with preserved ejection fraction (HFpEF) • 3.25 million HFpEF patients in the US • Serious and debilitating disease ‒ High patient burden driven by recurrent hospitalizations and reduced quality of life ‒ Proportion of HF patients hospitalized with HFpEF is increasing, expected to be 50% in 2020​ ‒ 40% of patients re-admitted within 1 year • No approved treatment for HFpEF Heart Failure and HFpEF <<Virani SS, et al Circulation. 2020;141(9):e139-596; Oktay AA, et al. Curr Heart Fail Rep. 2013;10(4):401-410; Cheng RK, et al. Am Heart J 2014;168(5):721-730>>
  • 5.
    5 • Unique dualblocker of renin-angiotensin system (RAS) and neprilysin • Superiority demonstrated over RAS inhibition alone in HFrEF ‒ 20% relative risk reduction in HF hospitalization or CV death • Approved in 115 countries worldwide • Global exposure >2.6 million patient-years Entresto® (Sacubitril/Valsartan) Approved for HFrEF in the US since 2015
  • 6.
    6 Entresto® Registration Program EOP2: Endof Phase 2; sNDA: supplemental New Drug Application 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Phase 3 PARADIGM-HF Completed HFrEF Approval Pediatric HF Approval Phase 2 PARAMOUNT Completed Phase 3 PARAGON-HF Initiated PARAGON-HF Completed FDA Pre-filing Meetings sNDA Submission HFrEF HFpEF FDA EOP2 HFpEF Meeting
  • 7.
    7 Proposed Indication ENTRESTO isindicated for the treatment of chronic heart failure: ‒ To reduce cardiovascular death and hospitalization for heart failure in patients with chronic heart failure and reduced ejection fraction ‒ To reduce worsening heart failure (total heart failure hospitalizations and urgent heart failure visits) in patients with chronic heart failure and preserved ejection fraction with left ventricular ejection fraction below normal
  • 8.
    8 What You WillHear Today • Significant morbidity (recurrent hospitalizations) • No approved treatment Unmet Need • PARAGON-HF • Additional evidence from PARADIGM-HF and PARAMOUNT Totality of Evidence • Consistent treatment effect across analyses of the primary endpoint and other clinically relevant endpoints, supporting a true treatment effect • Greater benefit observed in HFpEF patients with lower LVEF • Well-characterized and favorable safety profile, consistent with approved indication Efficacy and Safety • Evidence supports extending use to adjacent HFpEF population of patients with LVEF below normal to reduce worsening HF events Benefit / Risk
  • 9.
    9 Introduction David Soergel,MD Global Head, Cardiovascular, Renal & Metabolism Development Novartis Pharmaceuticals Corporation Heart failure with preserved ejection fraction (HFpEF) John McMurray, MD Professor, Institute of Cardiovascular & Medical Sciences BHF Cardiovascular Research Centre University of Glasgow & Queen Elizabeth University Hospital in Glasgow Sacubitril/Valsartan Efficacy and Safety in HFpEF Scott Solomon, MD Professor, Harvard Medical School Brigham and Women’s Hospital PARAGON-HF: Clinical Implications John McMurray, MD Professor, Institute of Cardiovascular & Medical Sciences BHF Cardiovascular Research Centre University of Glasgow & Queen Elizabeth University Hospital in Glasgow Closing Remarks David Soergel, MD Global Head, Cardiovascular, Renal & Metabolism Development Novartis Pharmaceuticals Corporation Presentation Overview
  • 10.
    10 Brian Claggett, PhDAssistant Professor, Harvard Medical School Brigham and Women’s Hospital Akshay Desai, MD Associate Professor, Harvard Medical School Brigham and Woman’s Hospital G. Michael Felker, MD Professor, Duke University School of Medicine Duke University Medical Center Marty Lefkowitz, MD Head, Therapeutic Area Clinical Development Novartis, Cardiovascular, Renal & Metabolism Guenther Mueller-Velten, Dipl-Wi-Math Executive Director, Biostatistics Novartis, Cardiovascular, Renal & Metabolism Ana de Vera, MD Head, Patient Safety Novartis, Cardiovascular, Renal & Metabolism Trish Kay-Mugford, DVM Head, Regulatory Affairs Novartis, Cardiovascular, Renal & Metabolism Available for Questions
  • 11.
    11 Heart failure with preservedejection fraction (HFpEF) What is it and why does it matter? John McMurray, MD BHF Cardiovascular Research Centre, University of Glasgow & Queen Elizabeth University Hospital in Glasgow
  • 12.
    12 • What isheart failure? • Left ventricular ejection fraction • History of heart failure phenotyping by ejection fraction – HFrEF, HFpEF and HFmrEF • Clinical characteristics of, and outcomes in, patients with HFrEF, HFpEF and HFmrEF • Changing epidemiology of heart failure • Goals of therapy and treatments available Outline of Presentation
  • 13.
    13 • A clinicalsyndrome - causing breathlessness (dyspnea), fatigue/exertional limitation and edema (leg/ankle swelling) caused by dysfunction of the heart (muscle, valves, endocardium, pericardium, rate or rhythm). • Common - Afflicts 1-2% of the population (up to 10% of older people) • Disabling - Greatly reduced quality of life (worse than almost any other chronic condition) with frequent ED attendances and high rates of hospitalization. Heart failure accounts for 5% of all medical admissions; is the single most common cause of hospitalization in people >65 years of age. • Costly - Accounts for 1-2% of health care spending, 70% of which is due to hospitalizations. • Deadly - High mortality rate (~50% at 5 years) but varies according to type of heart failure. • Progressive - worsens progressively over time, with development of additional complications including renal dysfunction, anemia, atrial fibrillation and other arrhythmias. What is Heart Failure?
  • 14.
    14 • What isheart failure? • Left ventricular ejection fraction • History of heart failure phenotyping by ejection fraction – HFrEF, HFpEF and HFmrEF • Clinical characteristics of, and outcomes in, patients with HFrEF, HFpEF and HFmrEF • Changing epidemiology of heart failure • Goals of therapy and treatments available Outline of Presentation
  • 15.
    15 Left Ventricular EjectionFraction (LVEF) End-Diastole End-Systole EDV ESV LVEF = X100 EDV-ESV EDV
  • 16.
    16 What is aNormal LVEF?
  • 17.
    17 Framingham Heart Study:2005-2014 (3rd decade) LVEF distribution in participants without heart failure Median Q3 Q1 <<Vasan RS et al JACC Cardiovasc Imaging. 2018;11:1-11>>
  • 18.
    18 • What isheart failure? • Left ventricular ejection fraction • History of heart failure phenotyping by ejection fraction – HFrEF, HFpEF and HFmrEF • Clinical characteristics of, and outcomes in, patients with HFrEF, HFpEF and HFmrEF • Changing epidemiology of heart failure • Goals of therapy and treatments available Outline of Presentation
  • 19.
    19 A Short Historyof Heart Failure Terminology and Trials ACC/AHA Heart failure with “borderline” ejection fraction (41-49%) Heart failure (no mention of ejection fraction) CONSENSUS SOLVD-T (LVEF ≤35%) CHARM- Preserved (LVEF >40%) DIG (LVEF ≤45%; ancillary trial >45%) I-Preserve (LVEF ≥45%) V-HeFT TOPCAT (LVEF ≥45%) Heart failure with preserved ejection fraction (>40%) Heart failure with reduced ejection fraction ESC Heart failure with “mid-range” ejection fraction (40-49%) 1987 1991 2006 2016 2010 2014 2019 2003 1997 PARAGON-HF (LVEF ≥45%) PARAMOUNT (LVEF ≥45%)
  • 20.
    20 • HFrEF –a disease defined by the results of a trial (based on an arbitrary LVEF cut-point) • HFpEF – originally defined as everything else left over i.e. defined by not having a “reduced” LVEF (<40%) • HFmrEF – patients with “mid range” or “mildly reduced” LVEF (~40-50%) – not normal but not HFrEF; redefined HFpEF as LVEF >50%. Why 40-50%?? The Heart Failure Syndromes
  • 21.
    21 • What isheart failure? • Left ventricular ejection fraction • History of heart failure phenotyping by ejection fraction – HFrEF, HFpEF and HFmrEF • Clinical characteristics of, and outcomes in, patients with HFrEF, HFpEF and HFmrEF • Changing epidemiology of heart failure • Goals of therapy and treatments available Outline of Presentation
  • 22.
    22 HFrEF, HFmrEF andHFpEF: Similarities & Differences Characteristic HFrEF (n=15135) HFmrEF (n=4078) HFpEF (n=9911) LVEF <40% 40-50% ≥51% Mean (median) age (yr) 64 (64) 69 (70) 72 (72) Age >70 years (%) 30 48 57 Female (%) 22 37 57 Medical history (%) Hypertension 66 79 89 Myocardial infarction 42 41 22 Atrial fibrillation 35 39 39 Diabetes 31 35 36 NYHA class I/II, III/IV (%) 73/27 60/40 55/45 Mean LVEF (%) 29 47 61 Mean systolic BP (mmHg) 122 132 133 Median NT pro BNP (pg/ml) 1420 997 602
  • 23.
    23 HFrEF, HFmrEF andHFpEF: Similarities & Differences Characteristic HFrEF (n=15135) HFmrEF (n=4078) HFpEF (n=9911) LVEF <40% 40-50% ≥51% Mean (median) age (yr) 64 (64) 69 (70) 72 (72) Age >70 years (%) 30 48 57 Female (%) 22 37 57 Medical history (%) Hypertension 66 79 89 Myocardial infarction 42 41 22 Atrial fibrillation 35 39 39 Diabetes 31 35 36 NYHA class I/II, III/IV (%) 73/27 60/40 55/45 Mean LVEF (%) 29 47 61 Mean systolic BP (mmHg) 122 132 133 Median NT pro BNP (pg/ml) 1420 997 602
  • 24.
    24 7,599 patients withNYHA class II-IV heart failure and no LVEF exclusion Female Male LVEF in Men and Women with Heart Failure LVEF distribution in CHARM <<McMurray JJV, Jackson AM et al Circulation. 2020;141:338–351>>
  • 25.
    25 HFrEF, HFmrEF andHFpEF: Same Symptoms and Signs Essentially all patients limited by dyspnea on exertion, irrespective of LVEF category PND – Paroxysmal nocturnal dyspnea; JVD – Jugular venous distension; S3 – Third heart sound p-values (trend) for all differences <0.001 except rales Dyspnea missing in IPreserve & TOPCAT. 0 10 20 30 40 50 % HFrEF HFmrEF HFpEF Dyspnea on effort HFrEF 85.4% HFmrEF 94.4% HFpEF 93.7%
  • 26.
    26 0 10 20 30 40 50 60 70 80 90 100 Clinical Summary ScoreOverall Summary Score Total Symptom Score KCCQ Summary Score * HFrEF HFmrEF HFpEF HFrEF, HFmrEF and HFpEF: Health-related Quality of Life *Unadjusted mean scores Trials analysed – ATMOSPHERE, PARADIGM-HF, PARAGON-HF & TOPCAT-Americas p-values for all differences <0.001 Maximum possible score 100 Lower score = worse HRQL
  • 27.
    27 HFrEF, HFmrEF andHFpEF: Hospitalization Figures truncated to 5 years but event rates based on entire follow-up period Total HF hospitalizations investigator reported except for PARAGON-HF. HFrEF – ATMOSPHERE & PARADIGM-HF HFpEF – CHARM-Preserved, IPreserve, PARAGON-HF & TOPCAT-Americas Similar rates of heart failure hospitalization
  • 28.
    28 HFrEF, HFmrEF andHFpEF: Mortality HFrEF – ATMOSPHERE & PARADIGM-HF HFpEF – CHARM-Preserved, IPreserve, PARAGON-HF & TOPCAT-Americas Figures truncated to 5 years but event rates based on entire follow-up period
  • 29.
    HFrEF HFmrEF HFpEF HFrEF, HFmrEFand HFpEF: Causes of Death Sudden death Worsening HF Other CV causes Non-CV/unknown 16% 35% 22% 27% 17% 20% 25% 38% 28% 30% 16% 26% Any CV death = 84% Any CV death = 72% Any CV death = 62% 29
  • 30.
    30 • What isheart failure? • Left ventricular ejection fraction • History of heart failure phenotyping by ejection fraction – HFrEF, HFpEF and HFmrEF • Clinical characteristics of, and outcomes in, patients with HFrEF, HFpEF and HFmrEF • Changing epidemiology of heart failure • Goals of therapy and treatments available Outline of Presentation
  • 31.
    31 Increasing Prevalence ofHF in the USA <<AHA Policy Statement: Forecasting the Impact of Heart Failure in the United States, Circ Heart Fail. 2013;6:606-619>>
  • 32.
    32 Patients hospitalized withheart failure (“Get With The Guidelines”) Ptrend<0.0001 EF ≥50% EF <40% EF ≥40 <50% Changing HF Phenotype Over Time <<Steinberg BA et al Circulation 2012; 126: 65-75>> 33 35 36 35 38 39 15 14 14 14 13 14 52 51 50 51 49 47
  • 33.
    33 Projected Cost ofHF in the USA <<AHA Policy Statement: Forecasting the Impact of Heart Failure in the United States, Circ Heart Fail. 2013;6:606-619>>
  • 34.
    34 • What isheart failure? • Left ventricular ejection fraction • History of heart failure phenotyping by ejection fraction – HFrEF, HFpEF and HFmrEF • Clinical characteristics of, and outcomes in, patients with HFrEF, HFpEF and HFmrEF • Changing epidemiology of heart failure • Goals of therapy and treatments available Outline of Presentation
  • 35.
    35 Overarching goal –slow progressive worsening over time • Reduce rate of deterioration in symptoms and quality of life (or even improve symptoms) – physician evaluation (NYHA class), patient self-assessment (KCCQ) • Reduce episodes of worsening e.g. leading to ED visits and hospital admission (and re-admissions) – time-to-first event, recurrent/repeat events • Reduce mortality, where possible – generally only cardiovascular mortality modifiable Goals of Therapy
  • 36.
    36 • ACE inhibitorsand ARBs • Digoxin • Beta-blockers • MRAs • Ivabradine • Sacubitril/valsartan • SGLT2 inhibitors • Vericiguat? • Devices: ICD, CRT Treatments for Heart Failure HFrEF HFpEF
  • 37.
    37 Effects of Candesartanand Spironolactone According to LVEF Because of the growing interest in HFmrEF (“mid-range” or “mildly-reduced” EF)
  • 38.
    38 CV death orHF hospitalizations (time-to-first) Continuous HR placebo better 95% CI active better Continuous HR Candesartan and Spironolactone: Treatment Effect by LVEF Adapted from Dewan P et al Eur J Heart Fail 2020;22: 898-901
  • 39.
    39 • Multiple effectivetherapies are available for patients with HFrEF, presently defined as a LVEF <40% • The remaining patients with heart failure were originally described as having HFpEF, although, recently, HFpEF has been re-defined – people with a LVEF 40-50% have been categorized as having HFmrEF and only those with a LVEF >50% now described as having HFpEF (arbitrary cut- points) • No treatments are approved for people with HFpEF and HFmrEF, although they account for 50% of cases of heart failure and are increasing in incidence and prevalence (as the predominant phenotypes in aging populations) • Although patients HFpEF and HFmrEF have a lower mortality rate (and proportionately more non- cardiovascular deaths) than patients with HFrEF, their rates of HF hospitalization are nearly as high as in patients with HFrEF • People with HFpEF and HFmrEF have at least as many symptoms and as great a reduction in quality of life as patients with HFrEF • Heart failure with LVEF ≥40% is an important unmet treatment need Summary
  • 40.
    40 Sacubitril/Valsartan Efficacy and Safetyin HFpEF Scott Solomon, MD Professor, Harvard Medical School Brigham and Women’s Hospital
  • 41.
    41 <<Vardeny O. JACC-HF2014>> Sacubitril/Valsartan: A First-in-Class Angiotensin Receptor Neprilysin Inhibitor Sacubitril/Valsartan Valsartan Sacubitril Sacubitrilat NH N N N N O OH O Heart Failure Renin Angiotensin System Vasoactive Peptide System pro-BNP NT-pro BNP ANP BNP CNP Adrenomedullin Bradykinin Substance P (angiotensin II) AT1 receptor Angiotensinogen (liver secretion) Angiotensin I Angiotensin II Vasoconstriction  blood pressure  sympathetic tone  aldosterone  fibrosis  hypertrophy Vasodilation  blood pressure  sympathetic tone  aldosterone levels  fibrosis  hypertrophy Natriuresis/Diuresis Inactive fragments OH O N H O O H O Novel crystalline complex consisting of the molecular moieties of valsartan and sacubitril in an equimolar ratio Neprilysin
  • 42.
    42 Sacubitril/Valsartan Efficacy Resultsin HFrEF PARADIGM-HF - Significant Reduction in Primary Endpoint, CV Death and All-Cause Mortality Primary Endpoint (CV death and HF hospitalization) 0 16 32 40 24 8 Enalapril (n=4212) Sacubitril/ Valsartan (n=4187) HR = 0.80 (0.73-0.87) P = 0.0000004 Number needed to treat = 21 360 720 1080 0 180 540 900 1260 Kaplan-Meier Estimate of Cumulative Rates (%) Days After Randomization 1117 914 4187 4212 3922 3883 3663 3579 3018 2922 2257 2123 1544 1488 896 853 249 236 Patients at Risk Sac/Val Enalapril 835 711 All-cause Mortality Enalapril (n=4212) Sacubitril/ Valsartan (n=4187) HR = 0.84 (0.76-0.93) P<0.0001 360 720 1080 0 180 540 900 1260 0 16 32 24 8 Kaplan-Meier Estimate of Cumulative Rates (%) Days After Randomization 4187 4212 4056 4051 3891 3860 3282 3231 2478 2410 1716 1726 1005 994 280 279 Patients at Risk Sac/Val Enalapril CV Death Enalapril (n=4212) Sacubitril/ Valsartan (n=4187) HR = 0.80 (0.71-0.89) P = 0.00008 Number need to treat = 32 360 720 1080 0 180 540 900 1260 0 16 32 24 8 693 558 Kaplan-Meier Estimate of Cumulative Rates (%) Days After Randomization 4187 4212 4056 4051 3891 3860 3282 3231 2478 2410 1716 1726 1005 994 280 279 Patients at Risk Sac/Val Enalapril <<McMurray et al. NEJM 2014 371:993-1004>>
  • 43.
    43 Phase II Resultsin HFpEF PARAMOUNT - Improvement in Several Domains NT-proBNP: N-terminal pro-brain natriuretic peptide; NYHA: New York Heart Association 12-week randomized, double-blind, active-controlled study evaluating sacubitril/valsartan compared to valsartan on changes in NT-proBNP, cardiac structure and function, and HF symptoms/signs in 301 HFpEF patients <<Solomon et al. Lancet 2012 380(9851):1387-1395>> NT-proBNP (pg/mL) Week 36 P=0.20 Week 12 P=0.005 Week 4 P=0.063 1000 200 300 400 500 600 700 800 900 Weeks post-randomization 0 5 10 15 20 25 30 35 40 Entresto Valsartan Improvement in NT-proBNP Improvement in NYHA class Percent of patients 100 0 20 30 40 50 60 70 80 90 10 P=0.11 P=0.05 Week 12 Week 36 Sac/Val Valsartan Sac/Val Valsartan Worsened Unchanged Improved Improvement in left atrial size P=0.18 P=0.003 36 Weeks 12 Weeks 2 -6 -5 -4 -3 -2 -1 0 1 Entresto Valsartan Change in left atrial volume (mL)
  • 44.
    44 <<Solomon SD, etal. JACC-Heart Fail 2017; 5(7):471-482.>> Randomization 1:1 ~35 months Valsartan 160 mg BID* Sacubitril/Valsartan 97/103 mg BID* On top of optimal background medications for co- morbidities (excluding ACEi and ARB) Double-blind treatment period 1 – 4 weeks Sacubitril/ Valsartan 49/51 mg BID Valsartan 80 mg BID Eligibility Screening 2 – 4 weeks Active single-blind run-in period Valsartan 40 mg BID PARAGON-HF: Trial Design Randomized, double-blind, active comparator trial testing the hypothesis that sacubitril/valsartan, compared with valsartan, would reduce the composite outcome of total HF hospitalizations and CV death * target doses, down-titration allowed for tolerability
  • 45.
    45 PARAGON-HF: Endpoints Composite PrimaryEndpoint • Composite of CEC-confirmed: ‒ Total (first and recurrent) HF hospitalization ‒ CV death Secondary Endpoints • NYHA functional classification at 8 months • KCCQ Clinical Summary Score at 8 months • Time to first occurrence of worsening renal function • Time to all-cause mortality
  • 46.
    46 PARAGON-HF: Endpoints Expanded CompositeEndpoint (Exploratory) • Composite of CEC-confirmed: ‒ Total (first and recurrent) HF hospitalization ‒ CV death ‒ Urgent HF visits Composite Primary Endpoint • Composite of CEC-confirmed: ‒ Total (first and recurrent) HF hospitalization ‒ CV death Secondary Endpoints • NYHA functional classification at 8 months • KCCQ Clinical Summary Score at 8 months • Time to first occurrence of worsening renal function • Time to all-cause mortality
  • 47.
    47 Valsartan chosen asthe active comparator to treat comorbidities • ~85% of patients treated with ACEi/ARB in prior HFpEF trials and prior to PARAGON run-in • Similar RAS blockade in both groups; sacubitril/valsartan 97/103 mg provides similar plasma exposure as valsartan 160 mg • Allowed assessment of incremental effect of sacubitril on RAS inhibition • Of note, previous studies suggests a modest benefit from RAS inhibition Key Design Considerations: Active Comparator <<Yusuf et al. Lancet 2003;362:777–81; Rogers et al. European Journal of Heart Failure 2014;16:33–40.>>
  • 48.
    48 Key Design Considerations:Recurrent Events • HFpEF is characterized by frequent recurrent worsening HF events (HF hospitalization and Urgent HF visits) • Each event is associated with worsening of long term prognosis ‒ In the CHARM program (candesartan) the risk of death increased with each additional HF hospitalization, with an ~30% cumulative incremental risk associated with 2nd or 3rd HF hospitalization • Traditional TTFE analysis ignore all events after the first event • This approach more accurately reflects the true burden of the illness on the patient and the healthcare system • Commonly used in other diseases where recurrent encounters are common (e.g. asthma, multiple sclerosis) and included in June 2019 FDA guidance “Treatment for Heart Failure: Endpoints for Drug Development” Acutely decompensated Compensated Chronically decompensated Clinical status Death Recurrent Worsening Heart Failure Event Disease progression <<Rogers et al. 2013>>
  • 49.
    49 Key Inclusion &Exclusion Criteria To Avoid Overlap with HFrEF Population and Ensure Certainty of HFpEF Diagnosis Key inclusion criteria Key exclusion criteria • ≥ 50 years of age and LVEF ≥ 45% • Heart failure signs/symptoms (NYHA Class II–IV) requiring treatment with diuretic(s) for at least 30 days prior to enrollment • Structural heart disease (LAE or LVH by echocardiography) • Elevation in natriuretic peptides • NT-proBNP 200 pg/ml if hospitalized for HF within 9 months, and 300 pg/ml if not hospitalized; 3-fold increase for patients in AF at enrollment • Any prior measurement of LVEF < 40% • Current acute decompensated heart failure • Alternative reason for signs and symptoms • SBP < 110 or ≥ 180mm Hg (or > 150mm Hg if patient not taking 3 or more antihypertensive medications) <<Solomon SD, et al. JACC-Heart Fail 2017>> LAE: Left Atrial Enlargement; LVH: Left Ventricular Hypertrophy; SBP: Systolic Blood Pressure
  • 50.
    50 Clinical Endpoint Committee(CEC) Adjudication Criteria for HF hospitalization and Urgent HF Visit Strict CEC definition for adjudicating HF hospitalizations and Urgent HF visits, consistent with the Standardized Data Collection for Cardiovascular Trials Initiative (SCTI) (Hicks et al 2018), all of the below required from source documentation: Criteria HF Hospitalization Unplanned presentation with HF exacerbation  Stay traversing change in calendar date  At least one symptom of worsening HF  At least two signs of worsening HF  Qualified treatments directed at treating HF  <<Hicks et al. Circulation 2018 137(9):961-972>>
  • 51.
    51 Clinical Endpoint Committee(CEC) Adjudication Criteria for HF hospitalization and Urgent HF Visit Strict CEC definition for adjudicating HF hospitalizations and Urgent HF visits, consistent with the Standardized Data Collection for Cardiovascular Trials Initiative (SCTI) (Hicks et al 2018), all of the below required from source documentation: <<Hicks et al. Circulation 2018 137(9):961-972>> Criteria HF Hospitalization Urgent HF Visit Unplanned presentation with HF exacerbation   Stay traversing change in calendar date  Not required At least one symptom of worsening HF   At least two signs of worsening HF   Qualified treatments directed at treating HF   + must include IV HF treatment
  • 52.
    52 PARAGON-HF was aGlobal Trial 848 Sites in 43 Countries 559 370 1327 762 480 79 110 109 60 47 32 12 388 254 204 123 102 65 42 41 38 36 14 12 8 1804 363 310 252 241 180 170 110 63 60 23 19 13 265 83 79 79 70 61 48 33 24 20
  • 53.
    53 Patient Disposition: HighCompletion Rate Screened 10,359 in 848 sites in 43 countries 5,746 entered the valsartan run-in 5,205 entered the sacubitril/valsartan run-in Final vital status known, n = 2,385 Final vital status unknown, n = 4* Final vital status known n = 2,402 Final vital status unknown n = 5* Excluded from FAS because of site closure due to GCP violation Sacubitril/ Valsartan N = 12 Valsartan N = 14 Sacubitril/Valsartan run-in failures n = 384 (7.4%) N = 4,796 Valsartan run-in failures n = 541 (9.4%) 4,822 Randomized Median follow-up 35 months Only 7 Patients Withdrew Consent and 2 Patients Lost to Follow-up at End of Study Sacubitril/Valsartan 200 mg BID N = 2,407 Valsartan 160 mg BID N = 2,389 * 7 withdrew consent, 2 lost to follow-up <<Solomon SD et al. N Engl J Med 2019;381:1609-1620 >>
  • 54.
    54 Baseline Demographics Sacubitril/Valsartan N=2,407 Valsartan N=2,389 Age (years)– mean (SD) 72.7 (8.3) 72.8 (8.5) Sex Male 48% 48% Female 52% 52% Race Caucasian 82% 81% Black 2% 2% Asian 12% 13% Region North America* 12% 11% Latin America 8% 8% Western Europe 29% 29% Central Europe 36% 36% Asia/Pacific/other** 16% 16% Baseline LVEF – median [IQR] 57 [51,62] 57 [50,63] Baseline NT-proBNP (pg/mL) – median (IQR) – Sinus rhythm 611 [389, 1072] 583 [370, 1046] Baseline NT-proBNP (pg/mL) – median (IQR) – Atrial fibrillation 1536 [1153, 2212] 1633 [1191, 2368] *North America = US and Canada. **Asia/Pacific/Other includes Israel, South Africa, Australia, China, India, Japan, Rep of Korea, Philippines, Singapore, Taiwan. <<Solomon SD et al. N Engl J Med 2019;381:1609-1620 >> Well Balanced and Geographically Diverse
  • 55.
    55 Sacubitril/Valsartan N=2,407 Valsartan N=2,389 NYHA class atrandomization Class I 3% 3% Class II 78% 77% Class III 19% 20% Class IV 0.3% 0.5% BMI – mean (SD) 30.2 (4.9) 30.3 (5.1) Baseline mean SBP (SD) / mean DBP (SD) at randomization 130.5 (15.6) / 74.3 (10.6) 130.6 (15.3) / 74.3 (10.4) Medical history Hypertension 96% 95% Diabetes mellitus 43% 43% Atrial fibrillation or flutter at screening ECG 32% 33% Hospitalization for HF within 9 months 38% 39% Medications At screening ACEi or ARBs 86% 86% At randomization Diuretics 95% 96% MRA 25% 27%* Beta blockers 80% 79% Calcium channel blockers 34% 34% Baseline characteristics balanced if not noted by *P<0.05. <<Solomon SD et al. N Engl J Med 2019; 381:1609-1620 >> Balanced Baseline Cardiovascular Profile Baseline Demographics
  • 56.
    56 PARAGON-HF Primary CompositeEndpoint Results *Semiparametric LWYY method Recurrent Event Analysis of Total HF Hospitalizations and CV Death* Valsartan (n = 2389) 1009 events, 14.6 per 100 pt-years Sacubitril/Valsartan (n = 2407) 894 events, 12.8 per 100 pt-years Rate ratio 0.87 (95% CI 0.75, 1.01) P = 0.059 Total HF hospitalizations and CV death Mean cumulative events per 100 patients Years 55 0 5 10 15 20 25 30 35 40 45 50 0 1 2 3 4
  • 57.
    57 HF Hospitalizations andCV Death *HF Hospitalization = Joint frailty model **CV death = Cox’s proportional hazard model Mean cumulative events per 100 patients 55 0 0 10 15 20 25 30 35 40 45 50 5 1 2 3 4 HF hospitalizations* Events Valsartan 797 Sacubitril/Valsartan 690 Rate ratio 0.85 (95% CI 0.72, 1.00) Years Proportion 0.55 0.00 0 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.05 1 2 3 4 CV Death** Years Patients Valsartan 212 (8.9%) Sacubitril/Valsartan 204 (8.5%) Hazard ratio 0.95 (95% CI 0.79, 1.16)
  • 58.
    58 • Expanded CompositeEndpoint ‒ Prespecified exploratory endpoint adding CEC-confirmed urgent HF visits • Investigator reported events ‒ Prespecified analysis using total events reported by investigators in the trial • Re-adjudication of CEC-unconfirmed HF hospitalization events ‒ Implemented following recommendation from FDA ‒ Intended to address concerns that strict adjudication criteria may have discarded a number of true HF hospitalization events Analyses Supporting Efficacy on Reducing Morbidity of HFpEF
  • 59.
    59 • Urgent, non-hospitalized,heart failure visits have similar prognostic and discriminative ability as heart failure hospitalizations • Incorporated into composite endpoint of recent heart failure trials (MADIT-CRT, DAPA-HF) and included in June 2019 FDA guidance “Treatment for Heart Failure: Endpoints for Drug Development” ‒ Of 1582 worsening HF events, 95 (6.0%) were urgent HF visits. • Patients whose first episode of worsening HF event was an urgent visit had similar age, comorbidities, baseline NT-proBNP, and MAGGIC risk scores to those in whom the first HF event was a hospitalization. Expanded Composite Endpoint CV Death, Total HF Hospitalizations and Urgent HF Visits CEC-Adjudicated Pre-Specified Exploratory Endpoint
  • 60.
    60 Expanded Composite Endpoint CVDeath, Total HF Hospitalizations and Urgent HF Visits Prospectively CEC-adjudicated Pre-Specified Exploratory Endpoint Sacubitril/Valsartan N=2407 Valsartan N=2389 Rate Ratio/ Hazard Ratio (95% CI) P-Value (2-sided) n Rate per 100 pt yr (95% CI) n Rate per 100 pt yr (95% CI) CEC-confirmed Primary Endpoint 894 12.8 (12.0 – 13.7) 1009 14.6 (13.7 – 15.6) 0.87 (0.75 –1.01) 0.059 Expanded Composite Endpoint 934 13.4 (12.6 – 14.3) 1064 15.4 (14.5 – 16.4) 0.86 (0.75 – 0.99) 0.040 Total worsening HF* 730 10.5 (9.7 – 11.3) 852 12.4 (11.5 – 13.2) 0.84 (0.71 – 0.98) 0.031 * Total worsening HF events include HF hospitalizations and urgent HF visits Includes 95 additional events (40 events in sacubitril/valsartan and 55 events in valsartan)
  • 61.
    61 Primary Composite Endpoint:Investigator-Reported Sacubitril/Valsartan N=2407 Valsartan N=2389 Rate Ratio/ Hazard Ratio (95% CI) P-Value (2-sided) n Rate per 100 pt yr (95% CI) n Rate per 100 pt yr (95% CI) CEC-confirmed Primary Endpoint 894 12.8 (12.0 – 13.7) 1009 14.6 (13.7 – 15.6) 0.87 (0.75 –1.01) 0.059 Investigator-Reported Primary Endpoint 1064 15.3 (14.4 – 16.2) 1241 18.0 (17.0-19.0) 0.84 (0.74 – 0.97) 0.014 Total Heart Failure Hospitalizations 916 13.2 (12.3 – 14.0) 1087 15.8 (14.8 – 16.7) 0.82 (0.71 – 0.96) 0.010 Cardiovascular Death 148 2.1 (1.8 – 2.5) 154 2.2 (1.9 – 2.6) 0.95 (0.76 – 1.19) 0.665 Includes a net of 402 additional events (170 events in sacubitril/valsartan and 232 events valsartan)
  • 62.
    62 Clinical Endpoint Committee(CEC) Adjudication Criteria for HF hospitalization Strict CEC definition for adjudicating HF hospitalizations consistent with the Standardized Data Collection for Cardiovascular Trials Initiative (SCTI) (Hicks et al 2018), all of the below required from source documentation: HF hospitalization  Unplanned presentation with HF exacerbation  Stay traversing change in calendar date  At least one symptom of worsening HF  At least two signs of worsening HF  Qualified treatments directed at treating HF <<Hicks et al. Circulation 2018 137(9):961-972>>
  • 63.
    63 While stringent adjudicationcriteria increased specificity, it may have discarded a number of true HF hospitalization events that did not meet the strict definition, thereby reducing sensitivity FDA recommended an independent panel to re-adjudicate unconfirmed HF hospitalizations: • The trigger was not concern regarding the quality of the initial CEC adjudication but that the strict definition used reduced the sensitivity • Consisted of 3 independent, blinded HF experts • Reviewed 566 investigator-reported but CEC unconfirmed HF hospitalizations • Each expert ascribed a probability of being a true HF hospitalization based on clinical judgement using CEC endpoint packages (100%, 75%, 50%, 25%, 0%) • The 3 probabilities were averaged for each event and used in a multiple imputation approach to include re-adjudicated events in the primary analysis FDA Recommended Re-Adjudication Panel
  • 64.
    64 Primary Endpoint IncorporatingCEC-confirmed and Re-adjudicated Events Average no. of events/N EAR Sacubitril/Valsartan vs. Valsartan Endpoint Sacubitril/ Valsartan N=2407 Valsartan N=2389 Rate ratio (95% CI) 2-sided P-value CEC-confirmed Primary Endpoint 894 (12.8) 1009 (14.6) 0.87 (0.75 –1.01) 0.059 Re-adjudication Analysis Primary Endpoint 999 (14.3) 1135 (16.5) 0.86 (0.75 – 1.00) 0.043 Total HF hospitalizations 795 (11.4) 923 (13.4) 0.84 (0.72 – 0.99) 0.037 EAR: exposure-adjusted rate Includes equivalent of 231 additional HF Hospitalizations (105 events in sacubitril/valsartan and 126 events in valsartan)
  • 65.
    65 Summary of Primaryand Expanded Composite Endpoint Results Endpoint Sac/Val N=2407 Valsartan N=2389 Rate Ratio (95% CI) Rate Ratio (95% CI) 2-sided P-value CEC-confirmed Primary endpoint 894 1009 0.870 (0.753, 1.005) 0.059 Expanded composite endpoint* 934 1064 0.861 (0.747, 0.993) 0.040 Supportive analyses of the primary endpoint Investigator reported primary endpoint events 1064 1241 0.843 (0.736, 0.966) 0.014 Investigator reported expanded composite endpoint** 1200 1414 0.834 (0.733, 0.950) 0.006 Re-adjudication analysis of primary endpoint events 999 1135 0.865 (0.751, 0.995) 0.043 * Exploratory endpoint including CV death and total HF hospitalizations + urgent HF visits ** Investigator reported CV death and total HF hospitalizations + urgent HF visits 0.4 1 0.6 0.8 1.2 1.4 sacubitril/valsartan better valsartan better
  • 66.
  • 67.
    67 Change in NYHAFunctional Class and KCCQ CSS Favors Sacubitril/Valsartan Kansas City Cardiomyopathy Questionnaire (KCCQ) Clinical Summary Score (CSS) based on the physical limitation and total symptom score domains LSM: least square mean; OR: odds ratio *Patients who died were included in the worsened category Sac/Val Valsartan Effect Size (95% CI) P-value (2-sided) NYHA class favorable change at 8 months – n 2316 2302 Improved Unchanged Worsened* 15.0% 76.3% 8.7% 12.6% 77.9% 9.6% OR, 1.45 (1.13 – 1.86) 0.004 KCCQ clinical summary score at 8 months – n 2250 2226 LSM of change from baseline (SE) -1.5 (0.4) -2.5 (0.4) Difference, 1.0 (0.0 – 2.1) 0.051 ≥5 point Improvement 33.0% 29.6% 0.019 ≥5 point Deterioration 33.5% 34.5% 0.467
  • 68.
    68 Composite Renal Endpoint Sacubitril/ValsartanReduced the Risk of the Composite Renal Endpoint Primarily Driven by Lower Incidence of ≥50% Reduction in eGFR Similar effect seen in PARADIGM-HF with lower risk of the same renal composite endpoint with sacubitril/valsartan compared with enalapril Composite Sacubitril/ Valsartan N=2407 n (%) Valsartan N=2389 n (%) Composite renal endpoint 33 (1.4) 64 (2.7) (i) Renal death 1 1 (ii) Reaching ESRD 7 12 (iii) ≥50% decline in eGFR relative to baseline 27 60 0.10 0.00 0.02 0.04 0.06 0.08 0 1 2 3 4 2389 2407 2273 2320 2145 2195 1033 1049 135 129 Number at Risk valsartan sacubitril/valsartan Proportion of Patients Years HR 0.50 (95% Cl 0.33 – 0.77), p = 0.001 valsartan sacubritril/valsartan
  • 69.
    69 0.4 0.8 1.6 0.40.8 1.6 Pre-Specified Subgroups for Primary Endpoint Subgroup No. of events /patients Rate ratio (95% CI) Overall 1903/4796 0.87 (0.75−1.01) Age (years) Less than 65 years 276/825 0.99 (0.64−1.53) 65 years or older 1627/3971 0.85 (0.73−0.99) Age (years) Less than 75 years 938/2597 0.82 (0.66−1.02) 75 years or older 965/2199 0.92 (0.76−1.11) Sex* Male 980/2317 1.03 (0.85−1.25) Female 923/2479 0.73 (0.59−0.90) Race Caucasian 1542/3907 0.83 (0.71−0.97) Black 89/102 0.69 (0.24−1.99) Asian 237/607 1.25 (0.87−1.79) Other 35/180 1.03 (0.47−2.28) Region North America 478/559 0.80 (0.57−1.14) Latin America 83/370 1.33 (0.75−2.36) Western Europe 544/1390 0.69 (0.53−0.89) Central Europe 466/1715 0.97 (0.76−1.24) Asia/Pacific 332/762 1.10 (0.79−1.52) Diabetic Yes 1041/2069 0.89 (0.74−1.09) No 862/2727 0.84 (0.68−1.03) LVEF* at or below median (57%) 1048/2495 0.78 (0.64−0.95) above median (57%) 855/2301 1.00 (0.81−1.23) History of AF Yes 1140/2521 0.83 (0.69−1.00) No 763/2275 0.94 (0.75−1.18) Screening NT−proBNP at or below median (911 pg/mL) 708/2379 0.85 (0.67−1.08) above median (911 pg/mL) 1183/2378 0.87 (0.73−1.05) Screening SBP at or below median (137 mmHg) 984/2450 0.88 (0.72−1.07) above median (137 mmHg) 919/2344 0.86 (0.69−1.06) MRA use Yes 545/1239 0.73 (0.56−0.95) No 1358/3557 0.94 (0.79−1.12) Baseline eGFR <60 mL/min/1.73m2 1115/2341 0.79 (0.66−0.95) >=60 mL/min/1.73m2 787/2454 1.01 (0.80−1.27) NYHA class I/II 1402/3843 0.90 (0.76−1.06) III/IV 499/951 0.79 (0.59−1.06) Subgroup No. of events /patients Rate ratio (95% CI) Rate ratio (95% CI) Rate ratio (95% CI) *Multivariate interaction P < 0.05. Evidence for Heterogeneity for Two Subgroups in Multivariable Analysis <<Solomon SD et al. N Engl J Med; 2019 >>
  • 70.
    70 0.4 0.8 1.6 0.40.8 1.6 Pre-Specified Subgroups for Primary Endpoint Subgroup No. of events /patients Rate ratio (95% CI) Overall 1903/4796 0.87 (0.75−1.01) Age (years) Less than 65 years 276/825 0.99 (0.64−1.53) 65 years or older 1627/3971 0.85 (0.73−0.99) Age (years) Less than 75 years 938/2597 0.82 (0.66−1.02) 75 years or older 965/2199 0.92 (0.76−1.11) Sex* Male 980/2317 1.03 (0.85−1.25) Female 923/2479 0.73 (0.59−0.90) Race Caucasian 1542/3907 0.83 (0.71−0.97) Black 89/102 0.69 (0.24−1.99) Asian 237/607 1.25 (0.87−1.79) Other 35/180 1.03 (0.47−2.28) Region North America 478/559 0.80 (0.57−1.14) Latin America 83/370 1.33 (0.75−2.36) Western Europe 544/1390 0.69 (0.53−0.89) Central Europe 466/1715 0.97 (0.76−1.24) Asia/Pacific 332/762 1.10 (0.79−1.52) Diabetic Yes 1041/2069 0.89 (0.74−1.09) No 862/2727 0.84 (0.68−1.03) LVEF* at or below median (57%) 1048/2495 0.78 (0.64−0.95) above median (57%) 855/2301 1.00 (0.81−1.23) History of AF Yes 1140/2521 0.83 (0.69−1.00) No 763/2275 0.94 (0.75−1.18) Screening NT−proBNP at or below median (911 pg/mL) 708/2379 0.85 (0.67−1.08) above median (911 pg/mL) 1183/2378 0.87 (0.73−1.05) Screening SBP at or below median (137 mmHg) 984/2450 0.88 (0.72−1.07) above median (137 mmHg) 919/2344 0.86 (0.69−1.06) MRA use Yes 545/1239 0.73 (0.56−0.95) No 1358/3557 0.94 (0.79−1.12) Baseline eGFR <60 mL/min/1.73m2 1115/2341 0.79 (0.66−0.95) >=60 mL/min/1.73m2 787/2454 1.01 (0.80−1.27) NYHA class I/II 1402/3843 0.90 (0.76−1.06) III/IV 499/951 0.79 (0.59−1.06) Subgroup No. of events /patients Rate ratio (95% CI) Rate ratio (95% CI) Rate ratio (95% CI) *Multivariate interaction P < 0.05. Evidence for Heterogeneity for Two Subgroups in Multivariable Analysis <<Solomon SD et al. N Engl J Med; 2019 >>
  • 71.
    71 Significant Heterogeneity inMultivariate Analysis Driven by Ejection Fraction and Sex Primary endpoint Male 980/2317 1.03 (0.85–1.25) 0.73 (0.59–0.90) Sex Female 923/2479 at or below median (57%) 1048/2495 0.78 (0.64–0.95) 1.00 (0.81–1.23) LVEF above median (57%) 855/2301 Rate ratio (95% CI) P = 0.035 (categorical) P = 0.004 (continuous) P = 0.002 (categorical) P = 0.005 (continuous) Multivariable interaction P-value Rate ratio (95% CI) No. of events/ patients Subgroup Only Interactions for Sex and Ejection Fraction Remained Nominally Significant <<Solomon SD et al. N Engl J Med; 2019 >> 0.4 1 0.6 0.8 1.2 1.4
  • 72.
    72 Subgroup No. of Events/Patients Rate Ratio (95%CI) Overall EF 1903/4796 0.87 (0.75–1.01) ≤50 512/1208 0.82 (0.63–1.06) >50–57 536/1287 0.77 (0.57–1.03) >57–63 467/1202 0.91 (0.68–1.22) >63 388/1099 1.09 (0.80–1.47) Treatment Effect by Ejection Fraction Quartiles Primary Composite Total HF Hospitalizations and CV Death Subgroup estimates are based on re-running the primary analysis model for each of the four subgroups defined by the by LVEF quartiles. 0.4 1.6 1 0.6 0.8 1.2 1.4
  • 73.
    73 * Total worseningHF events include HF hospitalizations and urgent HF visits Treatment Effect for HFpEF Patients with LVEF ≤ Median Endpoint Sac/Val N=1239 Valsartan N=1256 Rate Ratio (95% CI) Rate Ratio (95% CI) Primary composite endpoint 457 591 0.78 (0.64 – 0.95) Total HF hospitalizations 332 463 0.75 (0.60 – 0.95) CV death 125 128 0.99 (0.77 – 1.26) Expanded composite endpoint 480 622 0.78 (0.64 – 0.94)​ Total Worsening HF* 355 494 0.74 (0.60 – 0.93) 0.5 0.6 0.7 0.8 0.9 1 1.1 1.3 Val Better Sac/Val Better
  • 74.
    74 • Sacubitril/Valsartan safetyprofile well-characterized ‒ Over 2.6 million patient-years of post-marketing safety data in HFrEF • Clinical development program with over 23,000 CHF patients • Label adequately addresses potential risks Safety Existing Favorable Safety Profile in HFrEF
  • 75.
    75 Summary of AdverseEvents During Double-Blind Period Sacubitril/Valsartan N=2419 % Valsartan N=2402 % Patients with at least one AE 95.1 95.5 Patients with at least one Serious AE (SAEs) 58.9 59.0 Patients who died 14.3 14.9 Patients who discontinued due to AEs 20.4 21.7 Discontinued due to SAEs 13.5 14.1 Discontinued due to non-serious AEs 7.4 8.4 AEs, SAEs, Deaths, and Discontinuation due to AEs were Similar in the Two Groups N: Total number of patients in the treatment group in this safety analysis set.
  • 76.
    76 Safety Topics ofInterest Hypotension Occurred More Frequently with Sacubitril/Valsartan Renal Impairment and Hyperkalemia Occurred More Frequently with Valsartan Angioedema was Rare but Numerically Greater in Sacubitril/Valsartan. No Case Involved Airway Compromise. Sacubitril/Valsartan N = 2419 (%) Valsartan N = 2402 (%) Hypotension SBP <100 mmHg 15.7 10.7 Hypotension AEs 23.2 17.0 Hypotension AEs (SMQ) 33.2 26.9 Hyperkalemia Serum potassium ≥5.5 mmol/L 17.8 19.6 Serum potassium >6.0 mmol/L 3.1 4.2 Hyperkalemia AEs (NMQ) 11.2 15.1 Renal impairment Serum creatinine >2.0 mg/dL 10.9 13.8 Serum creatinine >2.5 mg/dL 3.8 4.4 Serum creatinine >3.0 mg/dL 1.6 1.7 Renal impairment AEs (SMQ) 20.3 23.7 Angioedema* 0.6 0.2 N: Total number of patients in the treatment group in this safety analysis set; NMQ: Novartis MedDRA Query, SMQ: Standardized MedDRA Query. * Adjudication confirmed by AAC
  • 77.
  • 78.
    78 <<McMurray et al.,Eur J Heart Fail 2013;15:1062–73>> <<Solomon et al. J Am Coll Cardiol HF 2017;5:471–82>> Pre-specified Pooled Analysis Across PARAGON-HF and PARADIGM-HF with Similar Entry Criteria PARADIGM-HF • Age ≥ 18 years • Signs/symptoms of heart failure (NYHA II-IV) • LVEF ≤ 40% • Elevation NT-proBNP (400/600 or BNP 100/150 depending on prior HF hospitalization) PARAGON-HF • Age ≥ 50 years • Signs/symptoms of heart failure (NYHA II-IV) • LVEF ≥ 45% • Elevation NT-proBNP (200/600 or 300/900 depending on prior HF hospitalization and AF) • Structural heart disease (LVH or LAE) • No prior LVEF < 40% Entry Criteria Study Design Randomization N=4822 Double-blind, randomized treatment period Sacubitril/Valsartan 97/103 mg BID Valsartan 160 mg BID On top of optimal background medications for comorbidities (excluding ACEI and ARB) Event-driven, median follow-up 35 months ~2 weeks 1-4 weeks 2-4 weeks Screening Valsartan 80 mg BID Sac/Val 49/51 mg BID Single-blind run-in period Sacubitril/Valsartan 97/103 mg BID Enalapril 10 mg BID On top of standard HF therapy (excluding ACEi and ARB) Event-driven, median follow-up 27 months Double-blind, randomized treatment period Enalapril 10 mg BID Sac/Val 49/51 mg BID Sac/Val 97/103 mg BID Single-blind run-in period 2 weeks 1-2 weeks 2-4 weeks Randomization N=8442
  • 79.
    79 Sacubitril/Valsartan Compared toRAS inhibitor Pre-specified Pooling of PARAGON-HF and PARADIGM-HF (N=13,195) 0.003 P-value < 0.001 < 0.001 <<Solomon et al. Circulation. 2020;141:352–361>> <<Solomon et al. AHA 2019>> (hazard ratio) (rate ratio) (rate ratio) P-value (hazard ratio) <0.001 <0.001 <0.001 (hazard ratio) (hazard ratio)
  • 80.
    80 Total HF Hospitalizationsand CV Death by LVEF Septile Across Spectrum of Ejection Fraction (PARAGON-HF and PARADIGM-HF) LVEF Septile Entresto EAR Comparator EAR Rate Ratio Estimate (95% CI) Rate Ratio Estimate (95% CI) ≤ 25% 18.8 23.0 0.816 (0.684,0.973) >25% to ≤ 30% 14.9 20.7 0.720 (0.590,0.878) >30% to ≤ 33% 14.6 18.9 0.767 (0.575,1.023) >33% to ≤ 36% 12.9 16.7 0.759 (0.589,0.978) >36% to ≤ 50% 13.1 15.1 0.878 (0.708,1.087) >50% to ≤ 60% 12.4 15.4 0.794 (0.632,0.996) > 60% 13.3 11.8 1.117 (0.855,1.458) Favors Sac/Val Favors Comparator EAR: exposure-adjusted rate 0.4 1.6 1 0.6 0.8 1.2 1.4
  • 81.
    81 Treatment Effect AcrossLeft Ventricular Ejection Fraction Sac/Val better RASi better Rate Ratio (Sacubitril/Valsartan vs. RASi) Ejection Fraction (%) PARAGON-HF and PARADIGM-HF <<Solomon et al. Circulation. 2020;141:352–361>> 15 20 25 30 35 40 45 50 55 60 65 70 75 1.4 1.2 1 0.8 0.6 Total HF Hospitalizations and CV Death RASi: renin-angiotensin-aldosterone–system inhibitor
  • 82.
    82 Treatment Effect byLVEF and Sex Ejection Fraction (%) Benefit Extends to Higher LVEF in Women (PARAGON-HF and PARADIGM-HF) Total HF Hospitalizations and CV Death Rate Ratio (Sacubitril/Valsartan vs. RASi) 2 1 0.8 0.6 0.5 15 20 25 30 35 40 45 50 55 60 65 70 75 Men Women <<Solomon et al. Circulation. 2020;141:352–361>> RASi: renin-angiotensin-aldosterone–system inhibitor
  • 83.
    83 • Building onthe pharmacodynamic and morphological benefits demonstrated in the Phase II trial, PARAGON-HF was the largest and only active-controlled Phase III study in HFpEF • Despite narrowly missing statistical significance for primary endpoint, the totality of evidence support a real albeit modest benefit in the overall study population: – Supportive analyses of the primary endpoint show a consistent treatment effect (13%-16%) • Expanded composite endpoint incorporating urgent HF visits • Investigator-reported endpoint events • FDA-recommended re-adjudication of CEC-unconfirmed investigator reported HF hospitalizations – Secondary efficacy endpoints (NYHA, KCCQ and renal composite endpoint) consistently favor sacubitril/valsartan • No new safety signals and the overall safety profile in HFpEF similar to HFrEF • Benefit observed in overall trial population driven by large reductions in the total worsening HF events in HFpEF patients with LVEF below normal Summary of Sacubitril/Valsartan Effects in HFpEF
  • 84.
    84 PARAGON-HF: Clinical implications? John McMurray,MD BHF Cardiovascular Research Centre, University of Glasgow & Queen Elizabeth University Hospital in Glasgow
  • 85.
    85 Starting point: wehave no approved therapies for HFpEF – unmet need++ • Is sacubitril/valsartan beneficial in HFpEF? • Is sacubitril/valsartan beneficial in all patients with HFpEF? • If sacubitril/valsartan is beneficial in HFpEF, is the benefit worthwhile? • Is the safety profile of sacubitril/valsartan in HFpEF acceptable? Outline
  • 86.
    86 PARAGON-HF Primary CompositeEndpoint Results *Semiparametric LWYY method Recurrent Event Analysis of Total HF Hospitalizations and CV Death* Valsartan (n = 2389) 1009 events, 14.6 per 100 pt-years Sacubitril/Valsartan (n = 2407) 894 events, 12.8 per 100 pt-years Rate ratio 0.87 (95% CI 0.75, 1.01) P = 0.059 Total HF hospitalizations and CV death Mean cumulative events per 100 patients Years 55 0 5 10 15 20 25 30 35 40 45 50 0 1 2 3 4
  • 87.
    87 Summary of Primaryand Expanded Composite Endpoint Results Endpoint Sac/Val N=2407 Valsartan N=2389 Rate Ratio (95% CI) Rate Ratio (95% CI) 2-sided P-value CEC-confirmed Primary endpoint 894 1009 0.870 (0.753, 1.005) 0.059 Expanded composite endpoint* 934 1064 0.861 (0.747, 0.993) 0.040 Supportive analyses of the primary endpoint Investigator reported primary endpoint events 1064 1241 0.843 (0.736, 0.966) 0.014 Investigator reported expanded composite endpoint** 1200 1414 0.834 (0.733, 0.950) 0.006 Re-adjudication analysis of primary endpoint events 999 1135 0.865 (0.751, 0.995) 0.043 * Exploratory endpoint including CV death and total HF hospitalizations + urgent HF visits ** Investigator reported CV death and total HF hospitalizations + urgent HF visits 0.4 1 0.6 0.8 1.2 1.4 sacubitril/valsartan better valsartan better
  • 88.
    88 Secondary Endpoint Results KCCQ,NYHA and Renal Endpoints Consistently Favor Sacubitril/Valsartan HR: hazard ratio; LSM: least square mean; OR: odds ratio *defined as renal death, reaching end stage renal disease (ESRD), or ≥50% decline in estimated glomerular filtration rate (eGFR) relative to baseline A sequential multiple testing procedure was used for the secondary analyses in the order of 1) KCCQ and NYHA 2) composite renal endpoint. All-cause mortality was not included in the multiple testing strategy and was planned to be tested at full alpha level after rejection of the primary hypothesis. Sacubitril/ Valsartan Valsartan Effect Size (95% CI) KCCQ clinical summary score at 8 months – n LSM of change from baseline (SE) 2250 -1.5 (0.4) 2226 -2.5 (0.4) LSM of difference 1.03 (-0.00 – 2.06) NYHA functional classification at 8 months – n Change from baseline - % Improved Unchanged Worsened 2316 15.0% 76.3% 8.7% 2302 12.6% 77.9% 9.6% OR for improvement 1.45 (1.13 – 1.86) Composite renal endpoint* - n/N 33/2407 1.4% 64/2389 2.7% HR = 0.504 (0.331 – 0.767) All-cause mortality – n/N 342/2407 14.2% 349/2389 14.6% HR = 0.970 (0.835 – 1.126)
  • 89.
    89 Endpoint RR/HR/OR (95% CI) Sac/Valversus Val RR/HR/OR (95% CI) Sac/Val versus Val Z Score* CEC confirmed: CV death and total HFH RR 0.87 (0.75, 1.01) -1.84 Change in NYHA class from baseline to 8 months OR 0.69 (0.54, 0.89) -2.63 Renal composite outcome HR 0.50 (0.33, 0.77) -3.20 Death from any cause HR 0.97 (0.84, 1.13) -0.41 Diff (Val – Sac/Val) Change in KCCQ clinical summary score at 8 months -1.03 (-2.06, 0.00) -1.93 Average z score -2.00 p-value (2-sided) 0.0008 Effects of Sacubitril/Valsartan on the Primary and Secondary Endpoints: Just due to chance? 0.4 0.6 0.8 1 1.2 1.6 2 3 -3 -2 -1 0 1 2 3 Favors Valsartan Favors Sac/Val For NYHA, the treatment effect was expressed in terms of the odds for unfavorable NYHA class changes so that favorable changes for sacubitril/valsartan appear on the left side of the figure (note that 0.69=1/1.45) * Observed z scores under simplified models; negative values indicate treatment effect in favor of Sacubitril/Valsartan. The treatment effect distribution under the null hypothesis was simulated based on 100,000 random treatment permutations (within regions).
  • 90.
    90 Starting point: wehave no approved therapies for HFpEF – unmet need++ • Is sacubitril/valsartan beneficial in HFpEF? • Is sacubitril/valsartan beneficial in all patients with HFpEF? • If sacubitril/valsartan is beneficial in HFpEF, is the benefit worthwhile? • Is the safety profile of sacubitril/valsartan in HFpEF acceptable? Outline
  • 91.
    91 PARAGON-HF: Pre-Specified SubgroupAnalyses (Primary Outcome) Left ventricular ejection fraction Sex <<Solomon SD et al. N Engl J Med 2019;381:1609-1620.>>
  • 92.
    92 • Subgroup mustbe prespecified (not post hoc) • Should be large – patients and events (smaller less reliable – subgroups are always underpowered) • Use a test for interaction and ideally adjust for multiplicity (ideally a multivariable analysis) • Examine the architecture of the total data and adjacent subgroups (internal consistency) • Interpret the results in the context of similar data from other trials (external validation) • Biological coherence/plausibility How Do We Interpret Subgroups?
  • 93.
    93 • Subgroup mustbe prespecified (not post hoc)  • Should be large – patients and events (smaller less reliable – subgroups are always underpowered)  • Use a test for interaction and ideally adjust for multiplicity (ideally a multivariable analysis)  • Examine the architecture of the total data and adjacent subgroups (internal consistency) • Interpret the results in the context of similar data from other trials (external validation) • Biological coherence/plausibility How Do We Interpret Subgroups?
  • 94.
    94 Subgroup No. of Events/Patients Rate Ratio (95%CI) Overall EF 1903/4796 0.87 (0.75–1.01) ≤50 512/1208 0.82 (0.63–1.06) >50–57 536/1287 0.77 (0.57–1.03) >57–63 467/1202 0.91 (0.68–1.22) >63 388/1099 1.09 (0.80–1.47) Treatment Effect by Ejection Fraction Quartiles Primary Composite Total HF Hospitalizations and CV Death Subgroup estimates are based on re-running the primary analysis model for each of the four subgroups defined by the by LVEF quartiles. 0.4 1.6 1 0.6 0.8 1.2 1.4
  • 95.
    95 Total HF Hospitalizationsand CV Death by LVEF Septile Across Spectrum of Ejection Fraction (PARAGON-HF and PARADIGM-HF) LVEF Septile Entresto EAR Comparator EAR Rate Ratio Estimate (95% CI) Rate Ratio Estimate (95% CI) ≤ 25% 18.8 23.0 0.816 (0.684,0.973) >25% to ≤ 30% 14.9 20.7 0.720 (0.590,0.878) >30% to ≤ 33% 14.6 18.9 0.767 (0.575,1.023) >33% to ≤ 36% 12.9 16.7 0.759 (0.589,0.978) >36% to ≤ 50% 13.1 15.1 0.878 (0.708,1.087) >50% to ≤ 60% 12.4 15.4 0.794 (0.632,0.996) > 60% 13.3 11.8 1.117 (0.855,1.458) Favors Sac/Val Favors Comparator EAR: exposure-adjusted rate 0.4 1.6 1 0.6 0.8 1.2 1.4
  • 96.
    96 How Do WeInterpret Subgroups? • Subgroup must be prespecified (not post hoc)  • Should be large – patients and events (smaller less reliable – subgroups are always underpowered)  • Use a test for interaction and ideally adjust for multiplicity (ideally a multivariable analysis)  • Examine the architecture of the total data and adjacent subgroups (internal consistency)  • Interpret the results in the context of similar data from other trials (external validation) • Biological coherence/plausibility
  • 97.
    97 • Subgroup mustbe prespecified (not post hoc)  • Should be large – patients and events (smaller less reliable – subgroups are always underpowered)  • Use a test for interaction and ideally adjust for multiplicity (ideally a multivariable analysis)  • Examine the architecture of the total data and adjacent subgroups (internal consistency)  • Interpret the results in the context of similar data from other trials (external validation) • Biological coherence/plausibility How Do We Interpret Subgroups?
  • 98.
    98 Effects of Candesartanand Spironolactone According to LVEF Because of the growing interest in HFmrEF (“mid-range” or “mildly-reduced” EF)
  • 99.
    99 CV death orHF hospitalizations (time-to-first) Candesartan and MRAs: Treatment Effect by LVEF Adapted from Dewan P et al Eur J Heart Fail 2020;22: 898-901
  • 100.
    100 CV death orHF hospitalizations (time-to-first) Treatment Effect by LVEF: 3 Different Therapies <<Dewan P et al Eur J Heart Fail 2020;22: 898-901>>
  • 101.
    101 25 30 3540 45 50 55 60 LVEF (%) Systolic Dysfunction and Favourable Response to Treatment Over Wider Range of LVEF? HFmrEF HFpEF HFrEF Candesartan Spironolactone Sacubitril/valsartan
  • 102.
    102 CV death orHF hospitalizations (time-to-first) Treatment Effect by LVEF and Sex Benefit Extends to Higher LVEF in Women <<Dewan et al. Eur J Heart Fail 2020; 22:898-901>>
  • 103.
    103 Starting point: wehave no approved therapies for HFpEF – unmet need++ • Is sacubitril/valsartan beneficial in HFpEF? • Is sacubitril/valsartan beneficial in all patients with HFpEF? • If sacubitril/valsartan is beneficial in HFpEF, is the benefit worthwhile? • Is the safety profile of sacubitril/valsartan in HFpEF acceptable? Outline
  • 104.
    104 Estimated Absolute Benefit:Potential Events Prevented by Treating 1000 Patients for 3 Years *Calculations are based on the between treatment group differences in exposure-adjusted event rates Primary composite events Prevented* HF hospitalizations prevented* PARADIGM-HF 122 76 PARAGON-HF: Overall 54 49 PARAGON-HF: LVEF ≤median 108 106 If there really is an effect in patients with a LVEF≤57%, it may be substantial
  • 105.
    105 Starting point: wehave no approved therapies for HFpEF – unmet need++ • Is sacubitril/valsartan beneficial in HFpEF? • Is sacubitril/valsartan beneficial in all patients with HFpEF? • If sacubitril/valsartan is beneficial in HFpEF, is the benefit worthwhile? • Is the safety profile of sacubitril/valsartan in HFpEF acceptable? Outline
  • 106.
    106 • Safety profileof sacubitril/valsartan confirmed • PARAGON-HF demonstrated: ‒Consistent safety profile with PARADIGM-HF ‒Similar safety profile to valsartan ‒No new safety signals • Hypotension and angioedema are currently addressed in the sacubitril/valsartan label • Sacubitril/valsartan results in lower rates of renal dysfunction and hyperkalemia compared to valsartan Sacubitril/Valsartan in HFpEF: Summary of Safety Findings
  • 107.
    107 • HFpEF isa syndrome (or syndromes – HFmrEF too?), causing disabling symptoms and frequent hospitalization in older individuals, many of whom are women, and for which there is no approved treatment • The totality of evidence from PARAGON-HF supports the conclusion that sacubitril/valsartan has clinical benefits, and a favorable benefit-to-risk profile, in HFpEF, overall • In a prespecified subgroup analysis, sacubitril/valsartan seemed to have more benefit in patients with a LVEF at or below the median of 57% (and in women) • Additional data to show that other drugs working on neurohumoral pathways also seem to be beneficial in patients with a LVEF in lower part of the HFpEF range • The potential reduction in events with sacubitril/valsartan in patients with a LVEF ≤median in PARAGON-HF was substantial and the safety profile is acceptable PARAGON-HF: Summary
  • 108.
    108 Closing Remarks David Soergel,MD Development Unit Head, Cardiovascular, Renal & Metabolism Novartis Pharmaceuticals Corporation
  • 109.
    109 Totality of EvidenceSupports Benefit in HFpEF • HFpEF is a debilitating disease with no approved therapy • Entresto is approved in the HFrEF population • Evidence supports extending use to adjacent HFpEF population to reduce worsening HF events ‒ Greater benefit in patients with LVEF below normal • Favorable safety profile
  • 110.
    110 Sponsor Backup SlidesShown Cardiovascular and Renal Drugs Advisory Committee December 15, 2020
  • 111.
    111 Country Cases CountryCases Country Cases Country Cases Germany 52 Singapore 7 Bulgaria 5 Poland 2 United States 47 Brazil 7 South Africa 5 Switzerland 2 China 25 Croatia 7 Israel 4 Turkey 1 Italy 20 Guatemala 7 Austria 3 Philippines 1 Canada 16 Japan 7 United Kingdom 3 South Korea 1 Spain 15 Hungary 6 France 3 Colombia 1 Belgium 13 Taiwan 5 Czech Republic 3 Russian Federation 1 Australia 12 Netherlands 5 Denmark 3 Slovenia 1 Slovakia 12 Sweden 5 Argentina 2 Mexico 1 ALL008-13 Geographic Distribution of Investigator-reported Urgent HF Visits (N = 310)
  • 112.
    112 Trial/cohort Event typeNumber needed to treat (95% CI) PARADIGM-HF Primary composite endpoint 8 (6 – 12) PARADIGM-HF HF hospitalization 13 (10 – 21) PARAGON-HF LVEF ≤median Primary composite endpoint 9 (6 – 18) PARAGON-HF LVEF ≤median HF hospitalization 9 (7 – 17) EFF101-14 Number Needed to Treat for 36 Months to Prevent One Event PARAGON-HF low LVEF vs. PARADIGM-HF Primary composite endpoint based on relative rate reduction of total HF hospitalizations and CV death
  • 113.
    113 • Sacubitril/Valsartan significantlyreduced the risk of the composite renal endpoint, primarily driven by lower incidence of ≥50% reduction in eGFR Composite Renal Endpoint * indicates nominal statistical significance (2-sided) with an alpha level of 0.05 A hazard ratio <1 indicates an effect in favor of Sac/Val. Composite Sacubitril/Valsartan N=2407 n (%) Valsartan N=2389 N (%) Odds Ratio (95% CI) P-value (2-sided) Composite renal endpoint 33/2407 (1.4) 64/2389 (2.7) 0.504 (0.331 – 0.767) 0.001* (i) Renal death 1/2407 (<0.1) 1/2389 (<0.1) 0.930 (0.058 – 14.861) 0.959 (ii) Reaching end stage renal disease (ESRD) 7/2407 (0.3) 12/2389 (0.5) 0.577 (0.227 – 1.467) 0.248 (iii) ≥50% decline in estimated glomerular filtration rate (eGFR) relative to baseline 27/2407 (1.1) 60/2389 (2.5) 0.441 (0.280 – 0.694) <0.001* • Similar effect seen in PARADIGM-HF with lower risk of the same renal composite endpoint with sacubitril/valsartan compared with enalapril (HR = 0.678; 95% CI 0.462 – 0.996; p = 0.0475) ALL014-2
  • 114.
    114 No. of EventsPatients* (n) 1 event 671 2 events 234 3 events 88 4 events 32 5 events 24 6 events 20 ≥ 7 events 14 Total 1083 • First events: 1083/1903 = 57% • Recurrent events: 820/1903 = 43% EFF201-3 * Patients with specific number of events Number of Patients with 1 or More Primary Events 38% (412/1083) of patients had recurrent events
  • 115.
    115 Descriptive Statistics ofContribution of Kth Event to Treatment Difference in Number of Composite Primary Endpoint Events in PARAGON-HF Variable Sac/Val N = 2407 Valsartan N = 2389 kth event contribution to treatment difference Total no. of primary composite endpoints 894 1009 115 (100%) No. of patients with kth event, n 1st event 526 557 31 (26.96) 2nd event 192 220 28 (24.35) 3rd event 84 94 10 (8.70) 4th event 41 49 8 (6.96) 5th event 25 33 8 (6.96) 6th event 15 19 4 (3.48) 7th event 4 10 6 (5.22) 8th event 1 8 7 (6.09) 9th event 1 5 4 (3.48) 10th event 1 4 3 (2.61) >10th event 1 3 6 (5.22) EFF201-2
  • 116.
    116 Truncated LWYY Analysisof the Primary Composite Endpoint by Censoring after the Kth Event (FAS) • Relative contribution of 8th and subsequent events to the overall treatment effect was approximately 13% EFF201-4 K No. of Events Rate Ratio Rate Ratio Sac/Val Valsartan Estimate (95% CI) Estimate (95% CI) 4 843 920 0.898 (0.789, 1.023) 5 868 953 0.892 (0.781, 1.020) 6 883 972 0.890 (0.776, 1.020) 7 887 982 0.885 (0.771, 1.017) 8 888 990 0.880 (0.765, 1.011) No truncation 894 1,009 0.870 (0.753, 1.005) Favors Sac/Val Favors Valsartan 0.7 0.8 0.9 1 1.1 1.2 1.3