Challenges and Models in CV Risk Management: Start Early, Invest In Your Arteries
Professor John Deanfield - University College London, UK Tuesday 28 August 2018
ESC Munich 2018
Challenges and Models in CV Risk Management: Start Early, Invest In - - PowerPoint PPT Presentation
Challenges and Models in CV Risk Management: Start Early, Invest In Your Arteries Professor John Deanfield - University College London, UK Tuesday 28 August 2018 ESC Munich 2018 Professor John Deanfield: Disclosures Received CME
Challenges and Models in CV Risk Management: Start Early, Invest In Your Arteries
Professor John Deanfield - University College London, UK Tuesday 28 August 2018
ESC Munich 2018
ESC Munich 2018
Professor John Deanfield: Disclosures
▪ Received CME honoraria and/or consulting fees from Amgen,
Boehringer Ingelheim, Merck, Pfizer, Aegerion, Novartis, Sanofi, Takeda, Novo Nordisk, Bayer
▪ Member of Study Steering Committees for Novo Nordisk ▪ Research grants from British Heart Foundation, MRC(UK), NIHR, PHE,
MSD, Pfizer, Aegerion, Colgate, Roche
▪ No conflicts of interest for this presentation
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CVD: It’s Not All Over!
Source: CVD Statistics– BHF UK Factsheet – February 2018
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CVD Prevention: Challenge!
Source: Alan Gregg (1890-1957), Rockefeller Foundation
Source: INTERHEART Lancet 2004
Investing In Your Arteries!
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September 18
20 40 60 Age (yrs)
Genetic Environmental
Foetus 9 RFs accounted for 90% of MI in men and 94% in women Clinical Events Lots of risk in front : lots of lost opportunities behind!
Adolescent Smoking and Drinking and CV Health
▪ 1,266 participants (425 males and 841 females) at age 13, 15 & 17 yrs ▪ Ao PWV at 17 yrs * *
PWV (m/s) Adjusted for gender, SBP, BMI, LDL, SES, CRP
5.0 5.5 6.0 6.5
Low drinking Low smoking
Low smoking High drinking Low smoking Low drinking
High drinking
Low drinking High smoking
High smoking High drinking High smoking p=0.002
Source: Charakida et al, EHJ 2018, in press
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Most Of Us Have Arterial Disease!
17 37 60 71 85 10 20 30 40 50 60 70 80 90 100
Incidence of Atherosclerosis (%)
<20 20-29 30-39 40-49 >50
Source: Tuzcu, Circ 2001 103:2075-10
32 Year Old Female Age (years)
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Combined Effect of LDL-C and SBP on CV Events
Source: B. Ference (Plymouth, US), FP 3163
N = 14,368 Major Vascular Events
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How Early Should Prevention Start? “Poor Start in Life”
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Obesity at 2 yrs Predicts Status at 35 yrs...
Source: Ward et al, N Engl J Med 2017;377:2145-53
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CV RFs Drive Multiple Diseases
Source: Twig G et al, NEJM 2016;374:2430-40
Obesity Stress BP Smoking Systemic Inflammation
Ageing
Diabetes Stroke CVD Cancer Cholesterol Oxidative Stress Dementia A Fib.
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Impact of Periodontitis Treatment on Glucose Control, Vascular and Renal Function in T2DM
Source: D’Aiuto Lancet Diabetes 2018
In UK population ▪ Severe in 5-10% ▪ Mild/mod. in 40%
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A Periodic Diet that Mimics Fasting Promotes Multi-System Regeneration, Cognitive Performance, and Healthspan
Source: Brandhorst Cell Metab 2015; 22: 86–99
Upstream biology that underlies NCDs can be targeted resulting in leveraged gains
Fasting-mimicking diet and markers/risk factors for aging, T2DM, cancer, and CVD
Source: Wei et al., Sci. Transl. Med. 9, eaai8700 (2017)
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CANTOS: Additional Non-CV Clinical Benefits
Source: Ridker PM et al. Lancet 2017, 390:1833-1842
Incident Lung Cancer
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CV RF lowering and Dementia Risk?
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CV Risk Factors from Childhood and Later Cognitive Function (Young Finns Study)
Source: Rovio JACC 2017; 69: 2279-2289
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Multi-domain Treatment and Cognitive Decline: FINGER Trial
Source: Ngandu Lancet 2015; 385: 2255-2263
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CVD Prediction and Prevention
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JBS3 Lifetime Risk Calculator
Source: Heart March 2014 and www.jbs3risk.com
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PHE National Heart Age Launch 04/09/18
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CVD Prevention: One Size Does Not Fit All!
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Precision Medicine Approaches
Imaging Biomarkers Genetics
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Genome-wide polygenic scores for common diseases
Source: Khera et al, Nature Genetics online (Aug 2018)
UK Biobank Genome-wide polygenic scores for risk (>3x) for: ▪ Coronary artery disease (8.0%) ▪ Atrial fibrillation (6.1%) ▪ T2DM (3.5%) ▪ IBD (3.2%) ▪ Breast Cancer (1.5%) For coronary artery disease, prevalence is 20x higher than the carrier frequency of rare monogenic mutations conferring comparable risks.
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Sources: Mancio et al, Heart 2018; 0:1-9 Antonopoulos et al, JACC 2018; 71;23:2706-12 (Top R)
CT Inflammation Imaging: Fat Attenuation Index (FAI)
Sources: Mancio et al, Heart 2018; 0:1-9 Antonopoulos et al, JACC 2018; 71;23:2706-12 (Top R)
The Digital Health Opportunities
Assessing CV risk factors with Computer Vision Google Research
Source: Poplin et al, Nature Bio Eng; Vol 2, Mar 2018: 158-64
Title of Paper
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Revolution in the Delivery of Medicine
Early Management / Digital Systems Wellness Illness Ageing
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New Models of CV Risk Management
▪ Lifetime management of CV risk ▪ Engage the medical community, healthcare providers, politicians and public to promote societal change ▪ Better communication, especially with the young - use new risk tools to communicate ‘investment benefits’ (eg JBS3) ▪ New technology and testing to deliver personalised medicine
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Final Thought…