Cholesterol verlaging (om cardiovasculair risico te verlagen) Toen, - - PowerPoint PPT Presentation

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Cholesterol verlaging (om cardiovasculair risico te verlagen) Toen, - - PowerPoint PPT Presentation

Cholesterol verlaging (om cardiovasculair risico te verlagen) Toen, nu en straks Erik Stroes AMC, The Netherlands Outline Cholesterol verlaging: toen, nu en straks Cholesterol verlaging toen Fire and Forget Statins only


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SLIDE 1

Cholesterol verlaging

(om cardiovasculair risico te verlagen)

Toen, nu en straks

Erik Stroes AMC, The Netherlands

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SLIDE 2

Outline

Cholesterol verlaging: toen, nu en straks…

  • Cholesterol verlaging ‘toen’

– Fire and Forget – Statins only

  • Cholesterol verlaging ‘nu’
  • Cholesterol verlaging ‘toekomst’
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SLIDE 3

The central role of arterial retention of apoB-containing lipoproteins in the pathogenesis of atherosclerosis

Boren J, Williams KJ. Curr Opin Lipidol 2016;27:473–83

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SLIDE 4

Causative, excacerbating factors vs bystanders

Boren, Cur Op Lip 2016

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SLIDE 5

ACC/AHA Guidelines Recommend Lowering LDL-C to Reduce the Risk of a CVD Event

ACC=American College of Cardiologists; AHA=American Heart Association; ASCVD= atherosclerotic cardiovascular disease; ESRD=end-stage renal disease; LDL-C=low-density lipoprotein cholesterol; RCT=randomized controlled trials.

2013 ACC/AHA guidelines state that reduction of CVD events according to risk should be achieved with statin treatment in 4 groups with increased CV risk

Clinical ASCVD Diabetes mellitus (type 1 or 2) and age of 40–75 yr and LDL-C 70–189 mg/dL High-intensity statin therapy If risk <7.5%*, moderate- intensity statin therapy If risk ≥7.5%*, high-intensity statin therapy No diabetes mellitus and age

  • f 40–75 yr and

LDL-C 70–189 mg/dL Calculate 10-year risk* of ASCVD If risk ≥7.5, moderate-to-high- intensity statin therapy LDL-C ≥190 mg/dL High-intensity statin therapy Calculate 10-year risk* of ASCVD Patients >21 yr of age without heart failure or ESRD Screen for ASCVD risk factors Measure LDL-C

Goff et al, JACC 2013 ePub Nov 12.; Stone et al. JACC 2014; 63:2889-934; Keaney et al. NEJM 2013; ePub Nov 27.

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SLIDE 6

LDL-C–Lowering Therapies Reduce CV-Risk

ACC=American College of Cardiologists; AHA=American Heart Association; ASCVD= atherosclerotic cardiovascular disease; HDL-C=high-density lipoprotein cholesterol; LDL-C=low-density lipoprotein cholesterol; RCT=randomized controlled trials. Stone et al. JACC 2014; 63:2889-934; Keaney et al. NEJM 2013; ePub Nov 27

  • 2013 ACC/AHA guidelines state that lowering LDL-C lowers ASCVD risk, but

since no RCTs have been done to specifically treat to goals, an optimal goal is not supported

  • 2013 ACC/AHA guidelines do not routinely allow for non-statin therapy to

treat high-risk patients who:

  • Have a less-than-anticipated response to statins
  • Are unable to tolerate a less-than-recommended intensity of a statin
  • Are completely statin intolerant
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SLIDE 7

Outline

Cholesterol verlaging: toen, nu en straks…

  • Cholesterol verlaging ‘toen’

– Fire and Forget – Statins only

  • Cholesterol verlaging ‘nu’

– Van LDL-c target naar LDL-c eradicatie – Van statines naar combinatie therapie

  • Cholesterol verlaging ‘toekomst’

– Low-frequency injectables – Tailored therapy

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SLIDE 8

Genetic versus Pharmacologic LDLc decrease

From LDL-c concentration to ‘life-long LDL-c exposure’

Ference BA, et al. J Am Coll Cardiol 2015;65:1552–61.

Lower LDL-C (mg/dL)

Proportional reduction in CHD risk (log scale) 30% 20% 10%

1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 13.0 14.0 15.0 16.0 17.0 18.0 19.0 20.0 21.0

GISSI- P A to Z SEARCH ALLHAT-LLT

Genetically lower LDL-C Pharmacologically lower LDL-C

IMPROVE-IT

Combined NPC1L1 & HMGCR LDL-C score HMGCR LDL-C score NPC1L1 LDL-C score

~20% reduction in CHD risk for each 1mmol/L (38.6mg/dL) lower LDL-C 69.5% reduction in CHD risk for each 1mmol/L (38.6mg/dL) lower LDL-C

NPC1L1 LDL-C score HMGCR LDL-C score LDLR rs2228671 LDLR rs6511720 PCSK9 46L rs11206510 ABCG5/8 rs4299376 HMGCR rs12916 NPC1L1 rs217386

2 x 2 Factorial Mendelian Randomisation Study

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SLIDE 9

Concept change I: Start Early

Less ‘LDL-exposure’ years leads to prevention of disease formation

Wiegman et al. European Heart Journal doi:10.1093/eurheartj/ehv157

  • Development of early atherosclerotic vascular disease in familial

hypercholesterolaemia showing the potential impact of early recognition and treatment on evolution of the condition

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SLIDE 10

Concept change II: use combination therapy

Ezetimibe induced LDL-c lowering reduces CV-risk

  • CTTC. Lancet 2005;366:1267–1278. CTTC. Lancet 2010;376:1670–1681.

Cannon et al. N Engl J Med 2015;372:2387–2397.

50% 40% 30% 20% 10% 0% 0.5 1.0 1.5 2.0

Reduction in LDL-C (mmol/L) Proportional Reduction in Event Rate (SE)

IMPROVE-IT CTT-meta-analysis

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SLIDE 11

PCSK9-antibody on top of statins Fourier study

10

Evolocumab SC

140 mg Q2W or 420 mg QM

Placebo SC

Q2W or QM LDL-C ≥70 mg/dL or non-HDL-C ≥100 mg/dL

Follow-up Q 12 weeks

Screening, Lipid Stabilization, and Placebo Run-in High or moderate intensity statin therapy (± ezetimibe) 27,564 high-risk, stable patients with established CV disease (prior MI, prior stroke, or symptomatic PAD)

RANDOMIZED DOUBLE BLIND

Sabatine MS et al. Am Heart J 2016;173:94-101

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SLIDE 12

LDL-c reduction and CV-benefit

  •  LDL-C by 59% (from 2.4 -> 0.8 [0.5, 1.2] mM)
  •  CV outcomes in patients already on statin therapy
  • Evolocumab was safe and well-tolerated

0,0 0,5 1,0 1,5 2,0 2,5 4 12 24 48 72 96 120 144 168 LDL-C (mM) Weeks after randomization

Evolocumab Median 0.78 mM IQR [0.49-1.27] Placebo 59% mean decline P<0.00001

Absolute↓1.45 mM (1.42-1.47)

14,6 9,9 12,6 7,9

5 10 15

CV death, MI, stroke, UA, cor revasc CV death, MI, stroke

KM Rate (%) at 3 Years Placebo Evolocumab HR 0.80 (0.73-0.88) P<0.00001 HR 0.85 (0.79-0.92) P<0.0001 Sabatine MS et al. New Engl J Med 2017;376:1713-22

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SLIDE 13

CV-benefit dependent upon LDL-c reduction

Independent from ‘pathway’

12

CTTC data from Lancet 2010;376:1670-81 Hazard Ratio (95% CI) per 1 mmol/L reduction in LDL-C

Median follow-up

  • f 2.2 years in FOURIER vs.

4.9 years on average in CTTC meta-analysis

Supplement to Sabatine, et al. N Engl J Med 2017; March 17: online

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SLIDE 14

Association Between Lowering LDL-C and Cardiovascular Risk Reduction Among Different Therapeutic Interventions

MG Silverman et al - JAMA. 2016;316(12):1289 1297. Weighted Between-Group Difference in Achieved Low-Density Lipoprotein Cholesterol (LDL-C) Level and Relative Risk for Major Vascular Events for Each Class of Intervention The RR for major vascular events per 1- mmol/L reduction in LDL-C was:

  • 0.77 (95%CI, 0.71-0.84; P < .001) for

statins

  • 0.75 (95%CI, 0.66-0.86; P = .002) for

established non-statin interventions that work primarily via up-regulation

  • f LDL receptor expression (ie, diet,

bile acid sequestrants, ileal bypass, and ezetimibe)

  • 0.61 (95%CI, 0.58-0.65) for PCSK9i (P =

.25).

The use of statin and non-statin therapies that act via up-regulation of LDL receptor expression to reduce LDL-C were associated with similar RRs of major vascular events per change in LDL-C.

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SLIDE 15

CETPi + HMG-CoA SNPs: LDL-c less predictive than apoB due to discordance

  • 21 genetic variants with naturally occurring discordance between LDL-C and apoB similar in magnitude

to what occurs when CETP & HMGCR inhibition are combined

Odds Ratio

Ference, JAMA 2017 aug.

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SLIDE 16

Concept change III: Treat (much more) aggressive

From threshold to ‘eradication’

Achieved on-trial LDL-C concentration, mg/dL (mmol/L) < 50 (< 1.29) (n = 4375) 50–< 75 (1.29–< 1.94) (n = 10,395) 75–< 100 (1.94–< 2.58) (n = 10,091) 100–< 125 (2.58–< 3.23) (n = 8953) 125–< 150 3.23– <3.88 (n = 3128) 150–< 175 (3.88–< 4.52) (n = 836) ≥ 175 (≥ 4.52) (n = 375) Major CV events Unadjusted HR (95% CI) Adjusted HR (95% CI)* 194 (4.4) 0.20 (0.16–0.25)

0.44

(0.35–0.55) 1185 (11.4) 0.40 (0.33–0.48)

0.51

(0.42–0.62) 1664 (16.5) 0.50 (0.42–0.60)

0.56

(0.46–0.67) 1480 (16.5) 0.48 (0.40–0.58)

0.58

(0.48–0.69) 557 (17.8) 0.51 (0.42–0.62)

0.64

(0.53–0.79) 184 (22.0) 0.64 (0.51–0.81)

0.71

(0.56–0.89) 123 (32.8) 1.00 (ref)

1.00

(ref) Major coronary events Unadjusted HR (95% CI) Adjusted HR (95% CI)* 129 (2.9) 0.15 (0.12–0.20) 0.47 (0.36–0.61) 918 (8.8) 0.36 (0.29–0.43) 0.53 (0.43–0.65) 1431 (14.2) 0.50 (0.41–0.61) 0.58 (0.48–0.71) 1336 (14.9) 0.51 (0.42–0.62) 0.62 (0.51–0.75) 492 (15.7) 0.53 (0.43–0.65) 0.67 (0.55–0.83) 170 (20.3) 0.69 (0.54–0.88) 0.78 (0.61–0.99) 107 (28.5) 1.00 (ref) 1.00 (ref) Major cerebrovascular events Unadjusted HR (95% CI) Adjusted HR (95% CI)* 72 (1.6) 0.47 (0.29–0.74) 0.36 (0.22–0.59) 315 (3.0) 0.62 (0.41–0.95) 0.46 (0.30–0.71) 302 (3.0) 0.52 (0.34–0.79) 0.49 (0.32–0.75) 205 (2.3) 0.38 (0.25–0.58) 0.45 (0.29–0.69) 91 (2.9) 0.47 (0.30–0.75) 0.58 (0.36–0.91) 21 (2.5) 0.41 (0.23–0.74) 0.43 (0.24–0.78) 23 (6.1) 1.00 (ref) 1.00 (ref) Data taken from 8 randomized statin trials. Values are n (%) unless otherwise indicated. The highest LDL-C category was used as the reference category. *Adjusted for sex, age, smoking status, presence of diabetes mellitus, systolic blood pressure, HDL-C concentration and trial. HDL-C, high-density lipoprotein cholesterol;

Boekholdt SM, et al. J Am Coll Cardiol 2014;64:485–94.

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SLIDE 17

Very low LDL-c levels achieved

beyond any ‘target’ defined in guidelines

Achieved LDL-C in mM at 4 Weeks

At Randomization

<0.5 (N=2669) 0.5-1.3 (N=8003) 1.3-1.8 (N=3444) 1.8-2.6 (N=7471) >2.6 (N=4395)

Median Lipid values LDL-C, mM 2.1 2.4 2.2 2.3 3.0 Total cholesterol, mM 4.0 4.3 4.2 4.2 5.0 Triglycerides, mM 1.5 1.5 1.6 1.4 1.6 HDL-C, mM 1.1 1.1 1.1 1.1 1.2 Lipoprotein (a), nM 22 43 32 37 48 High potency statin, % (> Atorvastatin 40 mg/d) 63 69 70 70 72 Ezetimibe, % 4.1 5.0 5.4 4.6 7.4

Giugliano RP, Lancet 2017

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SLIDE 18

Progressive CV-risk reduction with very-low LDLc achieved

CV Death, MI, or Stroke

Giugliano RP, Lancet 2017

LDL-C (mM) Adj HR (95% CI) <0.5 0.69 (0.56-0.85) 0.5-1.3 0.75 (0.64-0.86) 1.3-1.8 0.87 (0.73-1.04) 1.8-2.6 0.90 (0.78-1.04) > 2.6 referent

P = 0.0001

LDL-C (mM) at 4 weeks

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SLIDE 19

Exploratory Analysis Pts with LDL-C <0.26 mM at 4 wks

11,9 7,8 7,3 4,4

5 10 15

CVD, MI, Stroke, UA, Cor Revasc CVD, MI, Stroke

≥2.6 mM <0.26 mM Cardiovascular Efficacy

HR 0.69 (0.49-0.97) P=0.03 HR 0.59 (0.37-0.92) P=0.02

N=504: Median [IQR] LDL-C 0.18 [0.13-0.23] mM = 7 [5-9] mg/dL

23,3 3,4 22,8 3,4

5 10 15 20 25 30

Serious adverse event AE -> drug discontinued

≥2.6 mM <0.26 mM

HR 0.94 (0.74-1.20) P=0.61 HR 1.08 (0.63-1.85) P=0.78

Safety

Giugliano RP, Lancet 2017

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SLIDE 20

Caveat for combining: cost-efficacy

Determined by absolute CV-risk and [LDL-c]

Robinson JG et al. JACC. 2016.

>30% 10-year ASCVD risk Clinical ASCVD + diabetes Clinical ASCVD + chronic kidney disease Recent acute coronary syndrome (<3 months) Clinical ASCVD with multiple recurrent events* Percent LDL-C reduction Add ezetimibe Combination therapy¥ PCK9 mAb PCSK9 mAb maximum dose Initial LDL-C 20% 35% 50% 65% 190 mg/dl 32 18 13 10 160 mg/dl 38 22 15 12 130 mg/dl 47 27 19 15 100 mg/dl 61 35 25 19 70 mg/dl 88 50 35 27

Possible NNTs with PCKS9i for the recommended populations from the ESC/EAS consensus statement

(PCSK9i recommended by the ESC/EAS for rapid progression of ASCVD and LDL-C>100 mg/dl

  • n maximally tolerated efficacious statin and ezetimibe)
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SLIDE 21

Outline

Cholesterol verlaging: toen, nu en straks…

  • Cholesterol verlaging ‘toen’

– Fire and Forget – Statins only

  • Cholesterol verlaging ‘nu’

– Van LDL-c target naar LDL-c eradicatie – Van statines naar combinatie therapie,

  • Cholesterol verlaging ‘toekomst’
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SLIDE 22

Opportunities and Challenges for the future

  • LDL-c:

– Improving adherance

  • Other lipid moieties

– Lp(a) – Remnant cholesterol

  • Personalized medicine

– Cantos / COMPASS / FOURIER

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SLIDE 23

Relative Risk of Death for Adherence

> 80% versus < 80%

Meta-analysis of 44 studies, n= 1 978 919; 135 627 CVD events; 94 126 cases of all-cause mortality

9% of all CVD events in Europe could be attributed to poor adherence to vascular medications alone

Chowdhury et al., EHJ 2013;34:2940–8

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SLIDE 24

Novel therapeutic modalities:

RNAi is an intrinsic process for inhibiting mRNA

dsRNA dicer

Cleavage

Natural process of RNA interference Synthetic siRNA

mRNA

mRNA degradation

Strand separation Complementary pairing Cleavage

Targeted gene silencing

RISC

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SLIDE 25

Single dose results in > 3 months 50% LDL-c lowering

  • 80
  • 60
  • 40
  • 20

20 30 60 90 120 150 180 210 240 270

Mean percent change (±95% CI)

Days from first injection Placebo 200 mg 300 mg 500 mg

End of study if LDL-C back to baseline

P-value for all comparisons to placebo <0.0001

Ray KK, N Engl J Med 2017

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SLIDE 26

Future: twice a year injection = whole year >50 LDLc reduction

  • 80
  • 60
  • 40
  • 20

20 30 60 90 120 150 180 210 240 270

Mean percent change (±95% CI)

Days from first injection Placebo 100 mg 200 mg 300 mg

End of study if LDL-C back to baseline

P-value for all comparisons to placebo <0.0001

Ray KK, N Engl J Med 2017

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SLIDE 27

Opportunities and Challenges for the future

  • LDL-c:

– Improving adherance

  • Other lipid moieties

– Lp(a) – Remnant cholesterol

  • Personalized medicine

– Cantos / COMPASS / FOURIER

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SLIDE 28

Lp(a) is a causal factor in atherogenesis

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SLIDE 29

Tsimikas Curr Opin Endocrinol Diabetes Obes 2016;23:157–164

Lp(a) (q4 vs q1) and Residual CV-Risk

in Primary and Secondary prevention

  • LDL-C:

AIM-HIGH 54, JUPITER 62 and LIPID 112 mg/dL

  • Q4 of Lp(a):

50-73.7 mg/dL

Q4

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SLIDE 30

Novel therapeutic options in Lp(a) patients

Antisense for apo(a)

Prakash TP, Nucleic Acids Res 2014

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SLIDE 31

Reduction in Lp(a) and OxPL

following 2nd generation apo(a)-antisense

Viney, Stroes, Tsimikas S, Lancet 2016

Injection site reactions: >80 %

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SLIDE 32

Effect of gal-nac apo(a) antisense of Lp(a)

Weekly dose ED50 of 3.9 mg (0.05 mL)

*** *** *** *** *** *** *** *** ***

* * * Viney, Stroes, Tsimikas, Lancet 2016

Injection site reactions: 0 %

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SLIDE 33

Remnant cholesterol causally related to CVD-risk

Mendelian Randomisation studies

Varbo JACC 2013

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SLIDE 34

‘Remnant’ cholesterol is next on the list

Apo-CIII antisense potently reduces TG levels and remant chol.

Gaudet et al. NEJM 2015

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SLIDE 35

Opportunities and Challenges for the future

  • LDL-c:

– Improving adherance

  • Other lipid moieties

– Lp(a)

– Remnant cholesterol

  • Personalized medicine

– CANTOS / COMPASS / FOURIER

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SLIDE 36

The need for ‘Personalized’ medicine

  • Multiple effective therapeutic regimens
  • Differential benefits within target population
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SLIDE 37

Stable CAD (post MI) On Statin, ACE/ARB, BB, ASA Persistent Elevation

  • f hsCRP (> 2 mg/L)

Randomized Canakinumab 150 mg SC q 3 months Randomized Placebo SC q 3 months

Primary CV Endpoint: Nonfatal MI, Nonfatal Stroke, Cardiovascular Death (MACE)

Randomized Canakinumab 300 mg SC q 3 months*

Key Secondary CV Endpoint: MACE + Unstable Angina Requiring Unplanned Revascularization (MACE+)

Randomized Canakinumab 50 mg SC q 3 months

Benefit of anti-inflammatory intervention

Canakinumab Anti-Inflammatory Thrombosis Outcomes Study (CANTOS)

N = 10,061 39 Countries April 2011 - June 2017 1490 Primary Events

Ridker N Engl J Med 2017

Critical Non-Cardiovascular Safety Endpoints: Cancer and Cancer Mortality, Infection and Infection Mortality

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SLIDE 38

1 2 3 4 5 Follow-up Years 0.00 0.05 0.10 0.15 0.20 0.25 Cumulative Incidence

MACE

Placebo 150/300mg

Placebo SC q 3 months Canakinumab 150/300 SC q 3 months

IL1 beta antibodies reduce CV-MACE (CANTOS)

HR 0.85 95%CI 0.76-0.96 P = 0.007

39% reduction in hsCRP No change in LDLC 15% reduction in MACE Cumulative Incidence (%)

Ridker PM et al, NEJM 2017

Differential benefits: > median CRP reduction ?  HR 0.73

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SLIDE 39

Canakinumab SC q 3 months

Adverse Event Placebo

(N=3347)

50 mg

(N=2170)

150 mg

(N=2284)

300 mg

(N=2263)

P-trend Any SAE

12.0 11.4 11.7 12.3 0.43

Leukopenia

0.24 0.30 0.37 0.52 0.002

Any infection

2.86 3.03 3.13 3.25

0.12 Fatal infection

0.18 0.31 0.28 0.34

0.09/0.02* Injection site reaction

0.23 0.27 0.28 0.30 0.49

Any Malignancy

1.88 1.85 1.69 1.72 0.31

Fatal Malignancy

0.64 0.55 0.50 0.31 0.0007

Arthritis

3.32 2.15 2.17 2.47 0.002

Osteoarthritis

1.67 1.21 1.12 1.30 0.04

Gout

0.80 0.43 0.35 0.37 0.0001

ALT > 3x normal

1.4 1.9 1.9 2.0 0.19

CANTOS: Additional Outcomes (per 100 person years of exposure)

Ridker N Enlg J Med 2017

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SLIDE 40

Eikelboom J, N Engl J Med 2017

Rivaroxaban reduces CV-risk

in patients with stable CV-disease (COMPASS)

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SLIDE 41

At the expense of higher bleeding rate (COMPASS)

Eikelboom J, N Engl J Med 2017

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SLIDE 42

Effects of CETPi (anacetrapib) on lipids

Landrey M, N Engl J Med 2017

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SLIDE 43

Anacetrapib (CETPi) decreases CV-risk

in stable CVD patients (REVEAL)

Landrey M, N Engl J Med 2017

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SLIDE 44

Proportional reduction in CHD/MI vs absolute reduction in non-HDL c

Landrey M, N Engl J Med 2017; Ference B, JAMA 2017.

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SLIDE 45

Further lipid modulation Ezetimibe 6% RRR PCSK9-ab: (15-) 30% RRR CETPi: 9% RRR LDL 130 mg/dL (3.3 mmol/L) CRP 1.8 mg/L

“Residual Lipid Risk”

Future CV-treatment:

Personalized algorithms

High CV-risk High Intensity Statin Inflammation Reduction IL1B-ab: (15-) 27% RRR LDL 70 mg/dL (1.8 mmol/L) CRP 3.8 mg/L

“Residual Inflamm Risk” “Residual Thromb. Risk”

LDL 92 mg/dL (2.4 mmol/L) CRP 1.9 mg/L Coagulation Reduction Rivaroxa: 24% RRR

Application of a readily applicable ‘marker of benefit/harm’: Prior to initiating personalized therapy

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SLIDE 46

Future selection for personalized medicine:

Most effective ‘drug’ for most suitable patient

Nahrendorf, Stroes, et al J Am Coll Cardiol 2015;65(15)1583-91.

Multimodal imaging:

Ganz, P. et al. .JAMA 2016;315:2532-41

  • Active pathway analysis using “proteomics“
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SLIDE 47

Opportunities and Challenges for the future

  • LDL-c:

– Improving adherance

  • Other lipid moieties

– Lp(a)

– Remnant cholesterol

  • Personalized medicine

– CANTOS / COMPASS / FOURIER ♬

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SLIDE 48

Acknowledgements

  • AMC:

– John Kastelein – Bert Groen – Kees Hovingh – Max Nieuwdorp

  • Europe:

– Alberico Catapano – Wolfgang Koenig – Borge Nordestgaard

Funding: HORIZON2020 REPROGRAM; CVON-GENIUS; FP7-Nano-Athero; FP7-TRANSCARD

  • US:

– Matthias Nahrendorf – Sam Tsimikas – Zahi Fayad

  • PhDs:

– Renate Hoogeveen – Lotte Stiekema – Rens Reeskamp – Rutger Verbeek – Fleur vd Valk – Simone Verweij