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Eliot A. Brinton, MD, FAHA, FNLA, FACEPast-President, American Board of Clinical Lipidology
President, Utah Lipid CenterSalt Lake City, UT, [email protected]
11th Annual Orange County Symposium on Cardiovascular Disease Prevention
9 November 2019Orange, CA
Hypertriglyceridemia:
An Underrated Cause of ASCVD
Disclosures: Duality of Interest
Dr. Brinton has received:
• Research support from Amarin and Kowa
• Honoraria as consultant/advisor: Akcea, Amarin, Amgen, AstraZeneca, Esperion, Kowa, Medicines Co., Regeneron and Sanofi-Aventis
• Honoraria as speaker: Amarin, Amgen, Kowa, Regeneron and Sanofi-Aventis
HTG An Underrated Cause of ASCVD?
• Hypertriglyceridemia (HTG) prevalence
• HTG association with ↑ASCVD
• Mechanisms by which HTG may cause ASCVD
• Diet and lifestyle for HTG management
• Management of ↑ASCVD in HTG—REDUCE-IT
• Summary and Conclusion
HTG & VHTG Prevalence in US Adults:
Mild-Moderate HTG is Common ~1/3 Population
% of US
Adults
Modified from Christian et al. Am J Cardiol 2011: 107: 891
Fasting TG Level (mg/dL)
~30 million Americans have
“high TG”
(moderate HTG)
~26 million Americans have
“borderline high”
TG
Hypertriglyceridemia (TG > 150 mg/dL),
More Common in Statin-Treated Patients
9593 US adults >20 y/o (219.9 million projected) in the US National Health and Nutrition Examination Surveys 2007-2014.
Fan W et al. J Clin Lipidol. J Clin Lipidol. 2019;13:100-108.
0
10
20
30
40
50
60
All Statin Treated Not Statin
Treated
Millions
Percent
NHANES II (1976-1980)
NHANES III (1988-1994)
NHANES IV(1999-2006)
Ages 20-74
Ages 60-74
Increasing prevalence of hypertriglyceridemia in the US
Cohen J, et al. Poster at 2008 AHA Scientific Sessions.
Ford ES, et al. Arch Intern Med. 2009;169:572-8.
Christian JB, et al. Am J Cardiol. 2011;107:891-7.
0
5
10
15
Hig
h T
G (
%)
2.4 2.3
5.5
3.5
5x
8.7
1.8
2x
Increasing TG Levels Associate with ↑MI Stroke and All-cause Mortality
Hazard ratios by Cox proportional
hazard regression models,
adjusted for age, sex, and trial
group.
Nordestgaard BG et al. Lancet.
2014;384:626-35.
Copenhagen City
Heart Study and
Copenhagen General
Population Study
89 177 266 354 443 531 620
Non-fasting TG (mg/dL)
89 177 266 354 443 531 620
Myocardial InfarctionN=96,394 (events=3287); Median follow-up 6 years
Ischemic heart diseaseN=93,410 (events=7183); Median follow-up 6 years
Haza
rd r
ati
o (
95
% C
I)
for
myo
ca
rdia
l in
farc
tio
n
Haza
rd r
ati
o (
95
% C
I)
for
all
-ca
us
e m
ort
ali
ty
All-cause mortalityN=98,515 (events=14,547); Median follow-up 6 years
Ischemic strokeN=97,442 (events=2994); Median follow-up 6 years
5
4
3
2
1
0
5
4
3
2
1
0
4
3
2
1
0
5
4
3
2
1
0
5
Haza
rd r
ati
o (
95
% C
I)
for
isc
he
mic
he
art
dis
ea
se
Haza
rd r
ati
o (
95
% C
I) f
or
isc
he
mic
str
ok
e
Non-fasting TG (mg/dL)
Stronger Association of Plasma TG (non-fasting) with
MI and All-cause Mortality than LDL-C (Danish Population)
82,890 individuals from the Copenhagen City Heart Study and Copenhagen General Population Study
HR
fo
r M
I
Plasma TG cholesterol, mg/dL
0 250 500 750
0
2
4
6
8
10
LDL-C, mg/dL
0 194 387 580
0
2
4
6
8
10Myocardial Infarction
(MI)
All-cause Mortality
Plasma TG cholesterol, mg/dL
HR
fo
r all
-cau
se
mo
rtality
0 250 500 750
0
2
4
6
8
10
LDL-C, mg/dL
0 194 387 580
0
2
4
6
8
10
Hazard ratios (HR, blue line) with 95% confidence intervals (orange dotted lines).
Nonfasting plasma TGs (‘remnant cholesterol ‘) was calculated as nonfasting total cholesterol minus HDL-C minus LDL-C that was calculated as TG/5.
Nordestgaard BG. Circ Res. 2016;118:547-63.
Evidence that HTG Causes ASCVD:
Mendelian Randomization Data
Mendelian Randomization: HTG & ↑LDL-C Associate with ↑ASCVD (while certain HDL-C-related mutations do not)
ASCVD=atherosclerotic CV disease; HR=hazard ratio; IHD=ischemic heart disease; OR=odds ratio; SD=standard deviation; SNP=single nucleotide
polymorphism. Nonfasting plasma TGs (‘remnant cholesterol ‘) was calculated as nonfasting total cholesterol minus HDL-C minus LDL-C that was
calculated as TG/5. Nordestgaard BG. Circ Res. 2016;118:547-63.
Non-fasting TG
HDL cholesterol
LDL cholesterol
15 selected genetic variants Genome-wide, 185 SNPs
1.0 2.0 4.0 0.3 0.60
HR/OR (95% CI) for IHD per
1 mmol/L or
Effect size [β(95% CI)] for IHD
per 1 SD or
N=66,000 (12,000 IHD)
Varbo A et al. J Am Coll Cardiol. 2013;61:427-36.
N=87,000 (22,000 IHD)
Do R et al. Nat Genet. 2013;45:1345-52.
Triglycerides
HDL cholesterol
LDL cholesterol
Apo C-III LoF Mutation →↓CHD (N=110,970, 15 Studies)
Crosby, J. (TG & HDL Working Group, NHLBI Exome Sequencing Project) NEJM epub 6/18/14.
Odds ratio of CHD of
subjects with any of 4
Apo C3 loss-of-function
mutations among
110,970 participants
(34,002 patients with
CHD and 76,968
controls) in 14 studies
Loss-of-function
Apo C-III mutations
associated with:
• 39% ↓ TG
• 40% ↓ ASCVD
Effects of ANGPTL4 Loss-of-function
Mutations on Lipid Levels and CVD
ANGPTL4=Angiopoietin-like 4.
Myocardial Infarction Genetics and CARDIoGRAM Exome Consortia Investigators. N Eng J Med. 2016;374:1134-44.
ANGPTL4 loss-of-function
mutations were associated w/:
• 35% ↓TG levels and
• 53% ↓ASCVD risk
Noncarriers Carriers
P=0.003
P=0.30
300
200
100 P=0.19
LDL-C HDL-C TG
Lip
id L
evel
(mg
/dL
)
0
Genetic Causes of HTG and VHTGCommon• Familial hypertriglyceridemia (FHTG)
– ↑TG levels only:• HTG from ↑hepatic VLDL production • VHTG from polygenic & environmental ↓lipoprotein
lipase (LPL) activity– Modest ↑ Apo B but ↑ ASCVD risk
• Familial combined hyperlipidemia (FCHL)??– Variable HTG and ↑cholesterol – Mechanism unknown—poss. just more severe FHTG?– ↑ Apo B and ↑ ASCVD risk
Rare• Familial dysbetalipoproteinemia (Type III)• Familial chylomicronemia syndrome (FCS)
– LPL deficiency (monogenic), – Apo C-II deficiency– GPIHBP1 deficiency– Apo A-V mutations– LMF-1 mutations
After Bays HE. In: Kwiterovich PO Jr, ed. Johns Hopkins Text of Dyslipidemia. 1st ed. Lippincott Williams & Wilkins; 2010:245-57.
Mendelian randomization
studies suggest genetic
HTG causes ASCVD, but
genetic testing in HTG is
rarely useful in clinical
practice
Apparent Mechanisms of
↑ASCVD Risk in HTG
VLDL-TG
IDL
LPL
IDL-TG
#1: Elevated TG Leads to Smaller, Denser LDL
Particles
LDL
CETPTG CE
LPL/HL
LDL-TG
TG TG
HL
Small, dense LDL
LDL
LDL
LDL
Vascular Wall Macrophage
LDL
Saeed A et al. J Am Coll Cardiol. 2018;72:156-69. Miller M. J Am Coll Cardiol. 2018;72:170-2.
Triglyceride-
rich lipoprotein
(TGRL)
Apolipoprotein CIII
Cholesterol
Transcriptional
Activators:
•NFkB
•p38 MAP kinase
•Egr-1
Saturated
Fatty Acids
↑ Vascular cell adhesion molecule-1
Endothelial cell
Lipases
Putative
transducers:
•TLRs
•PKC
In HTG, TGRL can deliver
more cholesterol per
particle to macrophages
than LDL
Production of:
•MCP-1
•IL-8
•others
Foam Cell Formation
Leukocyte recruitment
Inflammation
After P. Libby 2019
#2: TG-Rich Lipoproteins May Promote
Artery-Wall Inflammation
Monocyte
Macrophage
#3: Elevated TG: Non-lipid Factors May Drive ↑CVD Risk
After Reiner Ž. Nat Rev Cardiol. 2017;14:401-11.
• ↑Platelet activity
• ↑Coagulation/↓fibrinolysis
• Pro-inflammatory factors
• Endothelial dysfunction
After Peng, J. et al. Lipids in Health and Disease (2017) 16;233.
VLDL
Remnant
Chylomicron
Remnant
Roles of LPL, Apo C3, ANGPTL3 and 4, and
Apo A5 in Plasma Triglyceride Metabolism
ANGPTL=angiopoietin-like protein; HL=hepatic lipase; LPL=lipoprotein lipase.
Khetarpal SA, Rader DJ. Arterioscler Thromb Vasc Biol. 2015;35:e3-9.
Myocardial Infarction Genetics and CARDIoGRAM Exome Consortia Investigators. N Eng J Med. 2016;374:1134-44.
Hepatic Lipoprotein
Receptors
LDL
LPL, HL
Liver
VLDL
Chylomicron
Small Intestine
Atherosclerotic
Plaque
LPL
Apo C3
Apo C3
Apo C3 Apo C3
Apo C3
Apo A5
Apo A5
ANGPTL4ANGPTL3
↑Triglycerides
↑ Risk of CVD
Reduces LPL activityLPL: loss of function
Apo A5: loss of function
Apo C3: gain of functionIncreases LPL activityLPL: gain of function
ANGPTL4: loss of function
Apo C3: loss of function
↓Triglycerides
↓ Risk of CVD
LPL hydrolyzes
TGs that are
present in
circulating
lipoproteins and
reduces the plasma
TG level
Apo A5 is an
activator of LPL
and enhances the
metabolism of TG-
rich particles
Apo C3 inhibits LPL
activity and increased
levels can induce HTG
If not removed from
circulation, LDL and
remnants may be
taken up by
macrophages in the
arterial wall
Management of
Patients with HTG
Fasting vs Nonfasting Measurements of
TG and Non-HDL-CPros for Non-Fasting Testing (usually easier, “politically correct”)• Nonfasting may better predict ASCVD (population only, not individual)• Nonfasting TG is similar to fasting after a low-fat meal (eg, <15 g fat), but will
↑ > 50% after high-fat meal (eg, 50g fat)• “Big-Mac” tolerance test? • Non-HDL-C is accurate fasting or nonfasting, and is the best basic lipid
predictor of CVD risk in patients w/ HTG*Pros for Fasting Testing (usually better, might be easier)• Best to categorize TG elevation in general • Best TG (for metabolic syndrome)• Best glucose (for metabolic syndrome)• Data in-hand at clinic visit (if done beforehand)• If nonfasting TG is ≥200 mg/dL need to do a fasting TG anyway
*Modified from: NLA Recommendations. Jacobson TA et al. J Clin Lipidol. 2014;8:473-88 and AHA Scientific Statement. Miller M et al. Circulation. 2011;123:2292-333.
Classification of Fasting TG Levels (2011 AHA/2014 NLA)
Jacobson TA et al. J Clin Lipidol. 2014;8:473-88.
American Heart Association (AHA) Scientific Statement. Miller M et al. Circulation. 2011;123:2292-333.
Fasting Triglycerides (mg/dL)
<100 Optimal
<150 Normal
150–199 Borderline high
200–499 High
500 Very high
Always Treat Secondary Causes of HTG
*Strong dose-gene interaction (polygenic); HIV=human immunodeficiency virus.After Bays HE. In: Kwiterovich PO Jr, ed. Johns Hopkins Text. of Dyslipidemia. 1st ed. Lippincott Williams & Wilkins;2010:245-57 and Hegele R Lancet Diabetes & Endocrin 2014, 2(8)655-666.
Cause Clinically useful details
DietCalories (Saturated fat? glycemic index?), ethanol*
Simple sugars, esp. fructose (sucrose, etc.) & ↓dietary fiber
Adiposopathy Especially if with visceral adiposity
Diabetes mellitus Especially if insulin resistant and/or hyperglycemic
Hypothyroidism Only if inadequately controlled
Renal disease Nephrotic syndrome, ESRD, glomerulonephritis
Systemic Inflammation Lupus, rheumatoid arthritis, paraproteinemias, etc.
Medications
Antiretroviral agents (for HIV), asparaginase (for leukemia)2nd-generation anti-Ψ, phenothiazines, anti-seizure medsNonselective beta-blockers & thiazide diuretics Bile-acid sequestrantsPregnancy (especially 3rd trimester)Oral contraceptives, oral hormone replacement, tamoxifenGlucocorticoids and isotretinoin
Recreational drugs Ethanol*, marijuana (ApoC-III)
Lifestyle and Diet Can Have Big Benefits in Hypertriglyceridemia
Diet / Lifestyle Change Lipid Profile Change
Weight loss in overweight or obese
individuals (>5–10%)TG (20%), LDL-C (15%) & HDL-C
(10%)
Diet
Grains, vegetables & low-fat dairy
Sugars (milk-sugar N/A, total
carb)
Total fat (for TG > 800 only)
Ethanol
Exercise, e.g. brisk walk 30 min, 3/wkTG (variable, depends on baseline
TG)
Modified from Miller M et al. J Am Coll Cardiol. 2008;51:724-30.
Sampson UK et al. Curr Atheroscler Rep. 2012;14:1-10.
TG (10-20%)
20% - 50% TG possible
w/ Lifestyle Interventions
(especially weight loss
and very-low-fat for TG
>800)
Is HTG an ASCVD Risk Factor When
LDL-C is controlled
on a Statin?
YES
Residual HTG Predicts Residual ↑CV Risk* Despite Well Controlled LDL-C on Statin Monotherapy
Despite LDL-C <70 mg/dL on a statin
*Death, myocardial infarction, or recurrent acute coronary syndrome, PROVE-IT-TIMI 22
Miller M et al. J Am Coll Cardiol. 2008;51:724-30.
0
5
10
15
20
25
↑41%
CVD Risk*
≥150 mg/dL <150 mg/dL
On-treatment TG
AS
CV
D R
isk*
(%)
16.5%
11.7%Several CVOTs
have shown
similar findings
HTG Associated w/↑ASCVD, Hospitalization & Costs (Despite LDL-C ~104 mg/dL on a Statin)
HTG: ↑ASCVD, Hospital Stays & Medical Costs*,† TG 200-499 vs TG < 150*
*Retrospective administrative claims, ≥45 y/o w/ diabetes and/or ASCVD on a statin, with TG 200–499 mg/dL (n=13,411) vs comparator control (TG <150 mg/dL and HDL-C >40 mg/dL, n=32,506). Baseline LDL-C 106 and 101 mg/dL, respectively (p<0.001), cohorts propensity-score matched for age, gender, insurance, region, baseline clinical characteristics and meds.†Cox proportional hazards model was used for all multivariate analyses except “Total Healthcare Costs,” which used a generalized linear model.
Toth PP et al. J Am Heart Assoc. 2018;7:e008740. DOI: 10.1161/JAHA.118.008740.ASCVD, atherosclerotic cardiovascular disease; CV, cardiovascular; HDL-C, high-density lipoprotein cholesterol; HTG, high triglycerides; LDL-C, low-density lipoprotein cholesterol; MACE, major adverse cardiac event; MI, myocardial infarction; NS, not significant.
35% Major
CV Event Rate
15% Total
Healthcare Costs
17% Hospital
Stays
HTG Associated w/↑ASCVD, Hospitalization & Costs (Despite LDL-C ~104 mg/dL on a Statin)
HTG: ↑ASCVD, Hospital Stays & Medical Costs*,† TG 200-499 vs TG < 150*
*Retrospective administrative claims, ≥45 y/o w/ diabetes and/or ASCVD on a statin, with TG 200–499 mg/dL (n=13,411) vs comparator control (TG <150 mg/dL and HDL-C >40 mg/dL, n=32,506). Baseline LDL-C 106 and 101 mg/dL, respectively (p<0.001), cohorts propensity-score matched for age, gender, insurance, region, baseline clinical characteristics and meds.†Cox proportional hazards model was used for all multivariate analyses except “Total Healthcare Costs,” which used a generalized linear model.
Toth PP et al. J Am Heart Assoc. 2018;7:e008740. DOI: 10.1161/JAHA.118.008740.ASCVD, atherosclerotic cardiovascular disease; CV, cardiovascular; HDL-C, high-density lipoprotein cholesterol; HTG, high triglycerides; LDL-C, low-density lipoprotein cholesterol; MACE, major adverse cardiac event; MI, myocardial infarction; NS, not significant.
35% Major
CV Event Rate
15% Total
Healthcare Costs
17% Hospital
Stays
Several other
observational studies
have shown
similar findings
Prevention of ASCVD in HTG Patients
JELIS: EPA Reduced Major Adverse Coronary Events (MACE)*
in Hypercholesterolemic Patients on Statins
Yokoyama M et al. Lancet. 2007;369:1090-8.
No. at Risk
Control
EPA
0 1 4 5 Years
9319 8931 8671 8433 8192 7958
9326 8929 8658 8389 8153 7924
Cu
mu
lati
ve I
ncid
en
ce o
f M
ajo
r
Co
ron
ary
Even
ts
(%)
4
P=0.011
Statin + EPA 1.8g/day
Statin only3
2
1
0
HR (95% CI): 0.81 (0.69–0.95)
↓
2 3
N=18,645 Japanese pts with TC ≥251 mg/dL prior to baseline statin Rx. Baseline TG=153 mg/dL.
Statin up-titrated to 20 mg pravastatin or 10 mg simvastatin for LDL-C control.
*Primary endpoint: sudden cardiac death, fatal and non-fatal MI, unstable angina pectoris,
angioplasty, stenting, or coronary artery bypass graft.
RRR
–19%
*Pre-specified analysis in primary prevention subjects. MACE=major adverse CV event.
Saito Y et al. Atherosclerosis. 2008;200:135-40.
JELIS: Larger Decrease in MACE in Subjects with
TG >150 mg/dL & HDL-C <40 mg/dL*
HR and P-value
adjusted for age,
gender, smoking,
diabetes, and HTN
No. of patients
Control 475 444 432 414 400 392
EPA 482 455 443 427 413 403
0 1 2 3 4 5 Years
Cu
mu
lati
ve i
ncid
en
ce o
f m
ajo
r
co
ron
ary
even
ts (
%)
EPA 1.8 gm/day group
Control group
RRR
–53%
HR: 0.47
95% CI: 0.23–0.98
P=0.043
5.0
4.0
3.0
2.0
1.0
0
Omega-3 CV Outcome Trial Meta-Analysis:
No ↓CVD w/ Low-dose EPA+DHA Mix; ↓CVD w/ Mid-dose Pure EPA
REDUCE-IT Design
1. Age ≥45 y with established CVD (2o Prevention)
or high risk 1o prevention: ≥50 y with diabetes +
≥1 additional CVD risk factor
2. Fasting TG levels 135-500 mg/dL
3. LDL-C 40-100 mg/dL and on stable statin Rx (±
ezetimibe) for ≥4 weeks prior to qualifying
measurements for randomization
Primary Endpoint Events: CV death, nonfatal MI, nonfatal stroke, coronary revasc, hospitalization for unstable angina
Key Secondary Endpoint Events: CV death, nonfatal MI, nonfatal stroke
Double-blind study; Events adjudicated by CEC that was blinded to treatment during adjudication
Screened
N=19,212
Randomized
N=8179
(43% of screened)
Icosapent Ethyl
4 grams/day
N=4089
Placebo
N=4090
Known vital status 4083 (99.9%) Known vital status 4077 (99.7%)
Median trial
follow up
4.9 yr
Bhatt, DL, Steg PG, Brinton, EA. Clinical Cardiology. 2017;40:138–148 and Bhatt DL, Steg PG, Miller M, et al. NEJM. 2019; 380:11-22.
REDUCE-IT Design “Firsts”:Among contemporary, statin-adjunct Cardiovascular Outcome Trials (CVOTs):• 1st one focused on patients w/ elevated TG• 1st using full-dose prescription omega-3• 1st using full-dose pure EPA (IPE)• 1st using pure EPA with/in:
– Moderate- to high-intensity statin background Rx– Multinational population (5 continents)– Double-blind placebo-controlled design
Bhatt, DL, Steg, PG, Brinton, EA., et al. Clinical Cardiology 2017 Mar;40(3):138-148.
Key Baseline Characteristics
Icosapent Ethyl
(N=4089)
Placebo
(N=4090)
Age (years) 64 64
Female, % 28.4% 29.2%
CV Risk Category, %
Secondary Prevention Cohort 70.7% 70.7%
Primary Prevention Cohort 29.3% 29.3%
Prior Atherosclerotic Cardiovascular Disease, % 68.9% 69.3%
Prior Atherosclerotic Cerebrovascular Disease, % 15.7% 16.2%
Prior Atherosclerotic Peripheral Artery Disease, % 9.5% 9.5%
LDL-C (mg/dL), Median (Q1-Q3) 74.0 (61.5 - 88.0) 76.0 (63.0 - 89.0)
Triglycerides (mg/dL), Median (Q1-Q3) 216.5 (176.5 - 272.0) 216.0 (175.5 - 274.0)
Triglyceride Category (by Tertiles)*
≥81 to ≤190 mg/dL 1378 (33.7%) 1381 (33.8%)
>190 to ≤250 mg/dL 1370 (33.5%) 1326 (32.4%)
>250 to ≤1401 mg/dL 1338 (32.7%) 1382 (33.8%)
Bhatt DL, Steg PG, Miller M, et al. J Am Coll Cardiol. 2019. Bhatt DL. ACC 2019, New Orleans.
*Baseline TG calculated as average of final screening TG and subsequent TG value from date of randomization.
Key Background Medical Therapy
Icosapent Ethyl
(N=4089)
Placebo
(N=4090)
Antiplatelet 3257 (79.7%) 3236 (79.1%)
One Antiplatelet agent 2416 (59.1%) 2408 (58.9%)
> 2 Antiplatelets 841 (20.6%) 828 (20.2%)
Anticoagulant 385 (9.4%) 390 (9.5%)
ACEi or ARB 3164 (77.4%) 3176 (77.7%)
Beta Blocker 2902 (71.0%) 2880 (70.4%)
Statin 4077 (99.7%) 4068 (99.5%)
Bhatt DL, Steg PG, Miller M, et al. J Am Coll Cardiol. 2019.
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Primary End Point:CV Death, MI, Stroke, Coronary Revasc, Unstable Angina
Icosapent Ethyl
23.0%Placebo
28.3%
Years since Randomization
Pa
tie
nts
wit
h a
n E
ve
nt
(%)
0 1 2 3 4 5
0
10
20
30
P=0.00000001
RRR = 24.8%
ARR = 4.8%
NNT = 21 (95% CI, 15–33)
Hazard Ratio, 0.75(95% CI, 0.68–0.83)
Bhatt DL, Steg PG, Miller M, et al. N Engl J Med. 2019; 380:11-22. Bhatt DL. AHA 2018, Chicago.
20.0%
16.2%
Icosapent Ethyl
Placebo
Key Secondary End Point:CV Death, MI, Stroke
Hazard Ratio, 0.74(95% CI, 0.65–0.83)
RRR = 26.5%
ARR = 3.6%
NNT = 28 (95% CI, 20–47)
P=0.0000006
Years since Randomization
Pa
tie
nts
wit
h a
n E
ve
nt
(%)
0 1 2 3 4 5
0
10
20
30
Bhatt DL, Steg PG, Miller M, et al. N Engl J Med. 2019; 380:11-22. Bhatt DL. AHA 2018, Chicago.
Omega-3 CV Outcome Trials:
No ↓CVD w/ Low-dose EPA+DHA Mix; Yes ↓CVD w/ Mid-dose Pure EPA
REDUCE-IT is 2nd of 2 CVOT’s w/ ↓CVD from EPA as Statin AdjunctTWO Best RRRs of All: JELIS ↓19% and REDUCE-IT ↓25%
Total Mortality 0.87 (0.74–1.02) 0.09
Endpoint
Primary Composite (ITT)
Key Secondary Composite (ITT)
Cardiovascular Death orNonfatal Myocardial Infarction
Fatal or Nonfatal Myocardial Infarction
Urgent or Emergent Revascularization
Cardiovascular Death
Hospitalization for Unstable Angina
Fatal or Nonfatal Stroke
Total Mortality, Nonfatal MyocardialInfarction, or Nonfatal Stroke
310/4090 (7.6%)
Placebo
n/N (%)
901/4090 (22.0%)
606/4090 (14.8%)
507/4090 (12.4%)
355/4090 (8.7%)
321/4090 (7.8%)
213/4090 (5.2%)
157/4090 (3.8%)
134/4090 (3.3%)
690/4090 (16.9%)
274/4089 (6.7%)
Icosapent Ethyl
n/N (%)
705/4089 (17.2%)
459/4089 (11.2%)
392/4089 (9.6%)
250/4089 (6.1%)
216/4089 (5.3%)
174/4089 (4.3%)
108/4089 (2.6%)
98/4089 (2.4%)
549/4089 (13.4%)
Hazard Ratio (95% CI)
0.75 (0.68–0.83)
0.74 (0.65–0.83)
0.75 (0.66–0.86)
0.69 (0.58–0.81)
0.65 (0.55–0.78)
0.80 (0.66–0.98)
0.68 (0.53–0.87)
0.72 (0.55–0.93)
0.77 (0.69–0.86)
P-value
<0.001
<0.001
<0.001
<0.001
<0.001
0.03
0.002
0.01
<0.001
Hazard Ratio
(95% CI)
1.4
Icosapent Ethyl Better Placebo Better
0.4 1.0
Prespecified Hierarchical TestingRRR
23%
28%
32%
20%
35%
31%
25%
26%
25%
13%
Bhatt DL, Steg PG, Miller M, et al. N Engl J Med. 2019; 380:11-22. Bhatt DL. AHA 2018, Chicago.
REDUCE-IT appendix. Bhatt, DL. NEJM epub Nov 10, 2018
REDUCE-IT: Individual Elements of Primary Endpoint (5-POINT MACE)
Total (First and Subsequent) EventsPrimary: CV Death, MI, Stroke, Coronary Revasc, Unstable Angina
Bhatt DL, Steg PG, Miller M, et al. J Am Coll Cardiol. 2019.
Primary Composite Endpoint
0 1
Years since Randomization
5
Cu
mm
ula
tive E
ven
ts p
er
Pati
en
t
2 3 40.0
0.1
0.2
0.3
0.4
0.6
0.5
Placebo: Total Events
Icosapent Ethyl: Total Events
Placebo: First Events
Icosapent Ethyl: First Events
HR, 0.75
(95% CI, 0.68–0.83)
P=0.00000001
RR, 0.70(95% CI, 0.62–0.78)
P=0.00000000036
143
126
1,546
901
376
Placebo
[N=4090]
Nu
mb
er
of
Pri
mary
Co
mp
os
ite
En
dp
oin
tE
ve
nts
3rd1st 2nd ≥4
1,076
Icosapent Ethyl
[N=4089]
7263
705
2362nd EventsHR 0.68
(95% CI, 0.60-0.78)
1st EventsHR 0.75
(95% CI, 0.68-0.83) P=0.000000016
≥4 EventsRR 0.52
(95% CI, 0.38-0.70)
3rd EventsHR 0.69
(95% CI, 0.59-0.82)
RR 0.70(95% CI, 0.62-0.78)
P=0.00000000036
Bhatt DL, Steg PG, Miller M, et al. J Am Coll Cardiol. 2019.
Reduced Dataset Event No.
-63
-71
-196
-140
-470
No. ofFewerCases
30% Reduction in Total Events
First and Subsequent Events
Note: WLW method for the 1st events, 2nd events, and 3rd events categories;
Negative binomial model for ≥4th events and overall treatment comparison.
1,600
1,200
800
400
0
600
1,000
1,400
200
Primary
Composite
Endpoint
-159
Cardiovascular
Death
-12
Fatal or
Nonfatal MI
-42 Fatal or
Nonfatal
Stroke
-14
Coronary
Revascularization
-76
Hospitalization
for Unstable
Angina
-16
-100
-150
-200
-50
0
Ris
k D
iffe
ren
ce
Bhatt DL, Steg PG, Miller M, et al. J Am Coll Cardiol. 2019.
For Every 1000 Patients Treated with Icosapent Ethyl for 5 Years:
.
PowerPoint Presentation
Rx EPA (IPE) ↓ASCVD in patients with
baseline TG 135-200 ≈ TG 200-500!
#AHA18: Cholesterol Guidelines full update; omega-3s and CV
events; yoga and risk reduction - Message (HTML)
Rx EPA (IPE) ↓ASCVD in patients with
baseline TG 135-150 ≈ TG 150-500!!
TOTAL EVENTS – Primary Composite Endpoint/Subgroup Icosapent Ethyl Placebo RR (95% CI) P-value
Rate per 1000
Patient Years
Rate per 1000
Patient Years
Primary Composite Endpoint (ITT) 61.1 88.8 0.70 (0.62–0.78) <0.0001
Baseline Triglycerides by Tertiles*
≥81 to ≤190 mg/dL 56.4 74.5 0.74 (0.61–0.90) 0.0025
>190 to ≤250 mg/dL 63.2 86.8 0.77 (0.63–0.95) 0.0120
>250 to ≤1401 mg/dL 64.4 107.4 0.60 (0.50–0.73) <0.0001
Primary Composite Endpoint:Total Endpoint Events by Baseline TG Tertiles
Bhatt DL. ACC 2019, New Orleans.
Placebo
Better
Icosapent Ethyl
Better
1.00.2 1.40.6 1.8 *P (interaction) = 0.17
↓CVD w/ EPA Was Comparable w/ On-Rx TG > vs < 150 mg/dL
Similar results were seen with the key secondary endpoint
Bhatt DL, et al. N Engl J Med. 2019;380(1):11-22.
Did ASCVD↓ More in Subgroup with TG > 200 PLUS HDL-C < 35? Maybe NOT
Subgroup % Subjects w/ CVD Events P-heterogeneity
TG ≥200 mg/dL and HDL-C ≤35 mg/dL
Icosapent Ethyl
Placebo HR (95% CI)0.04
Yes 18.1 27.0 0.62 (0.51-0.77)
No 17.0 20.9 0.79 (0.71-0.88)
Above data are with 1o endpoint, 5-point MACE, but
P-value only 0.50 (NS) for stronger 2o endpoint (“Hard” 3-point MACE)
REDUCE-IT Surprise:
In Mild-Moderate HTG Patients
Baseline & On-Rx TG Levels Don’t Seem to Matter!!
In other words…
Mild-Moderate HTG is an
Indicator of High ASCVD Risk
but NOT a Target of Therapy
(contrast with LDL)
PowerPoint Presentation
(No Difference in Overall TEAE)
Improving Outcomes in Severe Hyperchol Rockpointe CME Amgen 2018 1555 Lipid GR-FULL vEAB.3 - PowerPoint
EPA Effects on Arrhythmias and Their SequelaeIPE 4g/d Pbo HR (95%CI) P value
Atrial* % N % N
Total Atr. Fibrillation 5.3 215 3.9 159 Sig↑** 0.003
Hosp. for Atr. Fib. 3.1 127 2.1 86 Sig↑** 0.004
Ventricular(?)
Sudden Cardiac Death 1.5 61 2.1 87 .69 (.50-.96) Sig↓**
Cardiac Arrest 0.5 22 1.0 42 .52 (.31-.86) Sig↓**
Total
Arrhyth. Req. Hosp. >24h 4.6 188 3.8 154 1.21 (.97-1.49) NS
*No increases in the worst AFib sequelae: TIA, CHF, dyspnea or fatigue. **Not given.
JELIS provided no information about arrhythmias. See Yokoyama M Lancet 2007;369;1090-98.
EPA+DHA trials/studies sugg: ↑atrial fibrillation (↓if post cardiac surg) vs ↓ventricular events. (see Kowey, PR. JAMA;2010;304:2363-72; Mozaffarian, D. JACC;2011;58:2047-67; von Schacky, C. Frontiers in
Physiol. 2012; 3; 88. Christou, GA. Int J Mol Sci 2015;16: 22870-87 Siscovick, DS. Circul. 2017;135;e867-84.)
Improving Outcomes in Severe Hyperchol Rockpointe CME Amgen 2018 1555 Lipid GR-FULL vEAB.3 - PowerPointTrend Towards ↑Total Serious Bleeding Events—Likely Real
Improving Outcomes in Severe Hyperchol Rockpointe CME Amgen 2018 1555 Lipid GR-FULL vEAB.3 - PowerPointBut No Apparent ↑Intracranial or Fatal Bleeding Events
EPA Safety and Tolerability in Long-Term CVOT (JELIS, N=18,645)
CPK=creatine phosphokinase; GOT=glutamic oxaloacetic transaminase *No between-group differences in stroke (incl cerebral or subarachnoid hemorrhage). Hazard ratio for hemorrhagic stroke 1.12 (0.91–1.39, P=0.272).• The rate of discontinuation due to treatment-related adverse effects was 11.7% in the EPA + statin group and 7.2% in the statin only group• Most adverse events attributed to EPA treatment were regarded as mild by the investigators
EPA Group Control P Value
Pain (joint, lumbar, muscle) 1.6% 2.0% 0.04
Gastrointestinal disturbance (nausea, diarrhea, epigastric
discomfort)3.8% 1.7% <0.0001
Skin abnormality (eruption, itching, exanthema, eczema) 1.7% 0.7% <0.0001
Hemorrhage (cerebral, fundal, epistaxis, subcutaneous)* 1.1% 0.6% 0.0006
Abnormal laboratory data
•Total
•CPK increased
•GOT increased
•Blood sugar level increased
4.1%
1.4%
0.6%
0.4%
3.5%
1.2%
0.4%
0.3%
0.03
0.52
0.03
0.17
Yokoyama M et al. Lancet. 2007;369(9567):1090-1098.
63
Plasma EPA w/ EPA 1.8 g/d in Japanese
Comparable to IPE 4 g/d in Non-Japanese
Institute for Clinical and Economic Review, 2019. Draft Evidence Report. Additive Therapies for Cardiovascular Disease: Effectiveness and Value. https://icer-review.org.
IPE is Very Cost-Effective: REDUCE-IT DataA preliminary report from the Institute for Clinical and Economic Review (ICER) on the effectiveness and value of icosapent ethyl• Comparative Clinical Effectiveness
“For adults with established CVD or at high risk of cardiovascular events who are being treated with statins, we have high certainty that icosapent ethyl provides a small-to-substantial net health benefit (“B+”).
• Long-term Cost Effectiveness
Icosapent ethyl (in patients receiving statins) provides clinical benefit in terms of gains in quality-adjusted survival compared to optimal medical management alone in the adult with established CVD cohort and without known CVD but at high risk for CVD events.
This translated into incremental cost-effectiveness estimates that fell below commonly cited cost-effectiveness thresholds under the assumptions used for this analysis, which were willingness-to-pay thresholds of both $50,000 per QALY and $100,000 per QALY gained.
Icosapent ethyl vs. optimal medical management yields $18,000 per QALY gained at the current
wholesale acquisition cost of $303.65 per month.
Cost/QALY much less at:• Cash price of ~$220/mo• Payer price of ~$120/mo
REDUCE-IT:
A Paradigm Shift
in Atheroprevention
Statin Adjuncts Proven to Reduce CVD
*Major inclusion criteria for each trial.
ACS=acute coronary syndrome; ASCVD=atherosclerotic cardiovascular disease.
Modified from Orringer C. Oral Discussion of REDUCE-IT presentation; AHA 2018, Chicago.
Acute coronary syndrome within
10 days*
+ Ezetimibe + Icosapent ethyl+ Alirocumab or
Evolocumab
Statin Monotherapy
Stable CVD; or Diabetes + 1
additional risk factor*
Stable CVD + additional risk
factors; or ACS within 1-12
months*
Outside Expert Summary in response to REDUCE-IT Presentation:
Post-REDUCE-IT Guidelines/Statements:
IPE Decreases CVD Risk
• ADA: Add IPE to statin Rx to ↓ CV risk
• ESC: Add IPE to statin Rx to ↓ CV risk
• NLA: Add IPE to statin Rx to ↓ CV risk
• AHA: Omega-3 Advisory—IPE →25%↓ CV risk
American Diabetes Association (ADA) Guideline update March 2019
European Society for Cardiology (ESC) Guidelines September 2019
National Lipid association (NLA) Statement (press-release September 2019)
American Heart Association (AHA) Statement on Omega-3 Treatment (Skulas-Ray AC, et al.
Circulation. 2019;140: e1-e19)
Conclusion:
IPE Prevents ASCVD
Patients on Statin therapy with:
• TG > 135 mg/dL, despite• Controlled LDL-C (< 100 mg/dL)
At High Risk for CV Events:
• 2o Prevention, and importantly also• High-risk 1o Prev. (e.g. DM + add’l RFs)
RE
DU
CE
-IT
FDA Review of sNDA for CVD Prevention Indication for
Icosapent Ethyl: Mini-history, 2019 (pure EPA/Vascepa)
• Late Spring: September 28 set as PDUFA date, under priority review (no committee meeting planned)
• June 29: Medical Research Collaborative petition to FDA (21 C.F.R. § 10.30 and 21 C.F.R. § 10.31, FDCA) regarding active effects of placebo (light liquid paraffin) in REDUCE-IT—requesting Amarin do new studies
• Early Summer: – EMDAC review scheduled for November 14– PDUFA date postponed to December 28
Summary and Conclusions: ASCVD in HTG Patients
• HTG is common and is associated with ↑ASCVD, even when LDL-C is well controlled with statin Rx
• HTG appears to cause ASCVD– Mendelian randomization– Multiple MoA
• Recognition of high residual ASCVD risk in HTG patients (even on statins) is clinically important
• REDUCE-IT is a “Game Changer”—pure EPA (IPE) is now the statin adjunct of choice in patients with:– LDL-C <100 mg/dL on statin (+/- LDL-C adjuncts), and– TG >135 mg/dL, and– High ASCVD risk– On-treatment TG may not matter