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Contemporary management of Dyslipidemia
Todd Anderson Feb 2018
www.ccs.ca Dyslipidemia Guidelines
Disclosure Statement
Type of RelationshipOrganization Name
Modest(less than $10K)
Significant(greater than $10K)
A - Consulting Fees/Honoraria Amgen, Sanofi, Bayer
B - Officer, Director, Or In Any Other Fiduciary Role
C – Clinical Trials Merck, Amgen, Dal-cor
D - Ownership/Partnership/Principal
E - Intellectual Property Rights
F - Other Financial Benefit
I have not had an affiliation (financial or otherwise) with a commercial organization that may have a direct or indirect connection to the content of my presentation.
I have had an affiliation (financial or otherwise) with a commercial organization that may have a direct or indirect connection to the content of my presentation. Details below.
Does your presentation describe the off-label use of a device, product, or drug that is approved for another purpose?No Yes If you answered YES, you must disclose this to the audience within
your presentation
Within the past two years:
Approach to Risk Management
Who, how when to screen
How to evaluate risk
When to initiate what treatment
Monitoring and surveillance
• Target levels of LDL-C
• Role of Combination therapy
• Risk assessment strategies
Areas to consider guideline change
Category Consider Initiating pharmaco-therapy if
Target NNT
Primary preventionHigh FRS (≥20%) all LDL-C < 2.0 mmol/L or
> 50% ↓
Or
Apo B < 0.8 g/L
Or
non-HDL-C < 2.6
mmol/L
35
Intermediate FRS (10-19%) LDL-C ≥ 3.5 mmol/L or Non-HDL ≥ 4.3 mmol/L or Apo B ≥ 1.2 g/L or Men ≥ 50 and women ≥ 60 yrs and one additional CVD RF
40
Statin indicated conditions
Clinical atherosclerosis*
20Abdominal aortic aneurysmDiabetes mellitus>40 yrs15 yrs duration for age >30 yrs (DM 1)Microvascular diseaseChronic kidney disease (age ≥ 50 y)eGFR < 60 mL/min/1.73 m2 orACR > 3 mg/mmolLDL-C ≥ 5. 0 mmol/L >50% ↓ in LDL-C
FRS – modified Framingham Risk Score; ACR – albumin:creatinine ratio; * consider LDL-‐C < 1.8 mmol/L for subjects with ACS within last 3 months
www.ccs.ca Dyslipidemia Guidelines
The Case for Lower is Better• Biological plausibility – Apo B lipoproteins linked to atherogenesis
• Epidemiology data – Mendelian randomization
• On Rx LDL-‐C related to events
• CTT meta-‐analysis – 22% reduction per 1 mmol/L ↓
• IVUS trials
• Emerging randomized trial data with new meds
www.ccs.ca Dyslipidemia Guidelines
Biological Plausibility
Labos et al. ATVB 2018;; ahead of press
Statin effect is mediated entirely by change in LDL-C
www.ccs.ca Dyslipidemia Guidelines
CHD Reduction from Earlier LDL-C Lowering: Lifetime low LDL
Ferrence BA, et al. J Am Coll Cardiol. 2012;60(25):2631-‐9.
Association between 1mmol/L lower LDL-C and risk of CHD
Lifetime lower LDL-C due to genetics resulted in a 3-fold greater reduction in the risk of CHD per unit lower LDL-C than that observed during treatment with a statin started later in life
0.5 0.75 1 1.25 1.5
Statin/more better Control/less better
<2.0³2,<2.5
³2.5,<3.0
³3,<3.5
³3.5
Total
910 (14.7%)
1528 (14.0%)
1866 (12.4%)
2007 (12.3%)
4508 (13.0%)
10973 (13.0%)
1012 (16.4%)
1729 (15.9%)
2225 (14.7%)
2454 (15.2%)
5736 (16.5%)
13350 (15.8%)
0.78 (0.61 - 0.99)
0.77 (0.67 - 0.89)
0.77 (0.70 - 0.85)
0.76 (0.70 - 0.82)
0.80 (0.76 - 0.83)
0.78 (0.76 - 0.80)
No. of events (% pa)
Statin/more Control/less
<2.0³2,<2.5
³2.5,<3.0
³3,<3.5
³3.5
Total
704 (17.9%)
1189 (18.4%)
1065 (20.1%)
517 (20.4%)
303 (23.9%)
3837 (19.4%)
795 (20.2%)
1317 (20.8%)
1203 (22.2%)
633 (25.8%)
398 (31.2%)
4416 (22.3%)
0.71 (0.52 - 0.98)
0.77 (0.64 - 0.94)
0.81 (0.67 - 0.97)
0.61 (0.46 - 0.81)
0.64 (0.47 - 0.86)
0.72 (0.66 - 0.78)
<2.0
³2,<2.5
³2.5,<3.0
³3,<3.5
³3.5
Total
206 (9.0%)
339 (7.7%)
801 (8.2%)
1490 (10.8%)
4205 (12.6%)
7136 (11.0%)
217 (9.7%)
412 (9.1%)
1022 (10.5%)
1821 (13.3%)
5338 (15.9%)
8934 (13.8%)
0.87 (0.60 - 1.28)
0.77 (0.62 - 0.97)
0.76 (0.67 - 0.86)
0.77 (0.71 - 0.84)
0.80 (0.77 - 0.84)
0.79 (0.77 - 0.81)
More vs less statin
Statin vs control
All trials
Relative risk (CI) permmol/L LDL-C reduction
99% or 95% CI
Proportional effects on MAJOR VASCULAR EVENTS per mmol/L LDL-C reduction, by baseline LDL-C
Primary Endpoint — ITT (2014)
Simva — 34.7% 2742 events
EZ/Simva — 32.7% 2572 events
HR 0.936 CI (0.887, 0.988)p=0.016
Cardiovascular death, MI, documented unstable angina requiring rehospitalization, coronary revascularization (≥30 days), or stroke
7-year event rates
NNT= 50
An Academic Research Organization of Brigham and Women’s Hospital and Harvard Medical School
0
10
20
30
40
50
60
70
80
90
100
0 12 24 36 48 60 72 84 96 108 120 132 144 156 168
LDL Cholesterol (m
g/dl)
Weeks
LDL Cholesterol
Evolocumab(median 30 mg/dl, IQR 19-46 mg/dl)
Placebo
59% mean reduction (95%CI 58-60), P<0.00001
Absolute reduction: 56 mg/dl (95%CI 55-57)
An Academic Research Organization of Brigham and Women’s Hospital and Harvard Medical School
0%
2%
4%
6%
8%
10%
12%
14%
16%
Primary Endpoint
Evolocumab
Placebo
Months from Randomization
CV Death, MI, Stroke,
Hosp for UA, or CorRevasc
0 6 12 18 24 30 36
Hazard ratio 0.85(95% CI, 0.79-0.92)
P<0.0001 12.6%
14.6%
www.ccs.ca Dyslipidemia Guidelines
PCSK9 Inhibition and Very low LDL-‐C
Giugliano et al. Lancet Aug 28, 2017
25,982 Fourier patients – 4 week LDL-CPositive outcomes down to 0.2 mmol/L
www.ccs.ca Dyslipidemia Guidelines
PCSK9 Inhibition and Very low LDL-‐C
Giugliano et al. Lancet Aug 28, 2017
25,982 Fourier patients – 4 week LDL-CPositive outcomes down to 0.2 mmol/LPrimary EP – death, MI, revasc, hospitalization for UA
www.ccs.ca Dyslipidemia Guidelines
Ongoing Outcome Trials with PCSK9 Inhibitors
ACS: acute coronary syndrome; CAD: coronary artery disease; CHD: coronary heart disease; CVD: coronary vascular disease; EZE: ezetimibe; FH:Familial Hypercholesterolemia; HeFH: Heterozygous Familial Hypercholesterolemia; PAD: peripheral-‐artery disease; T2DM: type 2 diabetes mellitus.clinicaltrials.gov accessed August 25, 2015.
Study FOURIER ODYSSEY OUTCOMES SPIRE-‐1/ SPIRE-‐2
Treatment
Evolocumab: 420 mg QM or 140 mg Q2W
Background: optimal lipid lowering therapy
Alirocumab: 75 mg Q2W (up titrated to 150 mg Q2W if LDL >1.3 mmol/L;; down titrated
if LDL <0.65 mmol/L)Background: optimized lipid
lowering therapy
Bococizumab: 150 mg Q2W
Background: lipid lowering therapy
PopulationMI or stroke (≥ last 4 weeks)
OR PAD(plus Risk factors for CVD)
Patients hospitalized for ACS(<12 months before randomization)
Patients at high risk of a CV event
# patients 27,500 18,000 SPIRE-1: 17,000SPIRE-2: 9,000
LDL-C for eligibility
LDL-C ≥ 1.8 mmol/L (or non-HDL-C ≥ 2.6 mmol/L) after 4 week stabilization with optimal
lipid lowering therapy
≥ 1.8 mol/L or non-HDL-C ≥ 2.6 mmol/L
SPIRE-1: LDL-C ≥1.8 and <2.6 mmol/L SPIRE-2: LDL-C ≥2.6 mmol/L or non-HDL-C ≥3.4 mmol/L
Estimated study completion 2017 December 2017 SPIRE-1:June 2018
SPIRE-2: March 2018
www.ccs.ca Dyslipidemia Guidelines
CETP Inhibition in CV disease
Landry et al. NEJM;; Aug 24, 201730449 in TIMI 55/Reveal Study
www.ccs.ca Dyslipidemia Guidelines
www.ccs.ca Dyslipidemia Guidelines
Targets – ACC/AHA
Lloyd-Jones JACC 2017
www.ccs.ca Dyslipidemia Guidelines
When to Consider Pharmacological Treatment in Risk Management – Statin Indicated conditions
www.ccs.ca Dyslipidemia Guidelines
Targets – American Association of Clinical Endocrinologists
Jellinger et al. Endocrine Practice 2017;;23:supplement
www.ccs.ca Dyslipidemia Guidelines
Quantitative approach to non-statins
Robinson et al. JACC 2016;;68:2412
Defined risk based on trialsUsed % reduction in LDL-C for various drugs to determine NNT in different scenariosCTT estimate of event reduction based on 22% per 1 mmol/L
Very high risk – CVD plus DM or CKD or FH, or recent ACS
High risk – CVD alone, or FH in primary prevention
www.ccs.ca Dyslipidemia Guidelines
PCSK9 Inhibition – cost effectiveness
Fonarow et al, JAMA Cardiology, August 2017
Annual event rate of 6.4%/yr
www.ccs.ca Dyslipidemia Guidelines
• Target levels of LDL-C• Lower target of 1.8 for ASCVD• Elimination of target – use indications for combination therapy
• > 50 % reduction and target of < 1.8 for ASCVD
• Role of Combination therapy• Change in status of PCSK9 inhibitors
• Risk assessment strategies• More categories of risk • Different algorithms to determine risk instead of just FRS or statin indicated conditions
Areas to consider guideline change