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Drivers of Future Longevity A Medical Perspective
Mariette Thulliez, Cillian Tierney
The following presentation is for general information,
education and discussion purposes only.
Views or opinions expressed, whether oral or in writing do
not necessarily reflect those of PartnerRe nor do they
constitute legal or professional advice.
Disclaimer
Quiz
In 2015, what was the average life expectancy at birth of the global population?
1. 76.8 years
2. 71.4 years
3. 67.7 years
4. 81.4 years
18 May 2018
(average life expectancy in the European region)
(global life expectancy at birth in 2000)
(average life expectancy in Ireland)
Drivers of longevity 3
Quiz
Which country currently has the total longest life expectancy?
1. Japan
2. Switzerland
3. Norway
18 May 2018
(longest life expectancy in 1960 – 73.6 years)
(longest male life expectancy – 81.3 years)
Drivers of longevity 4
Quiz
What is the socio-economic gap in male life expectancy at birth in Ireland?
1. 3.7 years
2. 5.0 years
3. 6.1 years
4. 7.3 years
18 May 2018
(gender gap in the UK)
(gender gap in Ireland)
(US gap between highest and lowest educational groups)
Drivers of longevity 5
Why this presentation?
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Source: ONS, National Population Projections Accuracy Report, July 2015
▪ Introduction: A Look Back
▪ Medical Progress
▪ Socio-economic Influences
▪ Medical Progress – the Next Generation
▪ Conclusion
18 May 2018
Drivers of Future Longevity
7Drivers of longevity
Development of Life Expectancy
0
10
20
30
40
50
60
70
80
90
1550 1600 1650 1700 1750 1800 1850 1900 1950 2000
Life
exp
ecta
ncy
at
bir
th
UK
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Source: OurWorldInData.org
Development of Life Expectancy
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9
30
40
50
60
70
80
90
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
Life
exp
ecta
ncy
at
bir
th
Japan UK
Source: OurWorldInData.org
Development of Life Expectancy
18 May 2018Drivers of longevity
10
30.0
40.0
50.0
60.0
70.0
80.0
90.0
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
Life
exp
ecta
ncy
at
bir
th
Ireland UK
Source: OurWorldInData.org
Development of Life Expectancy
18 May 2018 Drivers of longevity 11
30
40
50
60
70
80
90
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
Life
exp
ecta
ncy
at
bir
th
US UK
Source: OurWorldInData.org
Development of Life Expectancy
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30
40
50
60
70
80
90
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
Life
exp
ecta
ncy
at
bir
th
US UK Japan
Source: OurWorldInData.org
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Death rate by age, England and Wales, 1915 to 2015
What happened in the 20th century?
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Source: CDC
▪ Introduction: A Look Back
▪ Medical Progress
▪ Socio-economic Influences
▪ Medical Progress – the Next Generation
▪ Conclusion
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Drivers of Future Longevity
15Drivers of longevity
Gains in life expectancy are dropping
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Heart Disease: Past and Present
• Medical innovations:– Coronary Artery Disease (CAD)
• investigation & treatment:
• coronary angiogram, CAC, clot busters, CABG & stents
– Controlling BP & new drugs; ACE inhibitors
– Lipid research & treatment with statins
– Heart rhythm control:
• atrial fibrillation, anticoagulants, pacemakers, ICD
• Public Health & Lifestyle– Education and the importance of smoking cessation, diet & exercise
– Screening for BP, cholesterol, arrhythmias & diabetes
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Heart disease: future
• Future– Primary goal is prevention of CAD
– Existing disease cannot be reversed
– Innovations in medical treatment will benefit, but…
– Most gains through CV risk factor reduction and treatment
– Challenge of public inertia to healthy diet, weight loss, exercise and smoking cessation
– Political role, e.g. Sugar Tax, banning soft drinks in schools, smoking in public places, and more?
– Continued mortality improvement may prove but it’s difficult with the obesity epidemic
18 May 2018 Drivers of longevity 18
Cancer: present and future
• Medical innovations– Early detection:
• screening – mammography, PSA, occult blood, chest X-ray, family history
– Improved imaging techniques
– Surgical improvements & more localized treatment
– Chemotherapy, radiotherapy & others
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Trends in 5-year Relative Survival Rates (%), 1975-2012
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Source: American Cancer Society & SEER
Cancer: present and future
• Future– Liquid biopsy
– Immunotherapy
– Check-point inhibitors
– Personalized medicine
– Early detection through screening “at risk” populations
• Challenges and limitations– Widespread, unselected screening – too many false positives
– Personalized treatments will be very expensive, and regulatory barriers
– Current treatment effective (e.g. breast cancer) but lung cancer still lags at 19%
– Improvements in life expectancy slowing
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What risk factors most drive death and disability – UK
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Source: Institute of Health Metrics and Evaluation
Obesity Epidemic US
2015
1994
Sources: http://www.cdc.gov
2318 May 2018 Drivers of longevity
Source: https://vizhub.healthdata.org/subnational/usa
Ischemic heart disease
Dea
ths
per
10
0,0
00
po
pu
lati
on
▪ Introduction: A Look Back
▪ Medical Progress
▪ Socio-economic Influences
▪ Medical Progress – the Next Generation
▪ Conclusion
18 May 2018
Drivers of Future Longevity
24Drivers of longevity
Life Expectancy vs. GDP per Capita
2518 May 2018 Drivers of longevity
Source: gapminder.org
Social disparity – Life expectancy
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70
72
74
76
78
80
82
1982-1986 1987-1991 1992-1996 1997-2001 2002-2006 2007-2011
Class 1 Class 2 Class 3 Class 4 Class 5 Class 6 Class 7
Source: ONS Longitudinal Study
Social disparity – Smoking prevalence
0
5
10
15
20
25
MostAffluent
LeastAffluent
Smo
kin
g p
reva
len
ce (
%)
Index of Multiple Deprivation Decile
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Source: Public Health England
Social disparity – Alcohol use
0
10
20
30
40
50
60
70
80
MostAffluent
LeastAffluent
Rat
e
Index of Multiple Deprivation Decile
Admission Episodes for alcohol-related conditions (per 10,000) Alcohol-related Mortality (per 100,000)
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Source: Public Health England
Social disparity – Childhood diet
30%
35%
40%
45%
50%
55%
60%
Most Affluent Least Affluent
% C
on
sum
ing
less
th
an 5
a d
ay
Index of Multiple Deprivation Quintile
Daily fruit and vegetable consumption
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Source: Public Health England
Social disparity – Child obesity
0
5
10
15
20
25
30
MostAffluent
LeastAffluent
Ob
esit
y p
reva
len
ce (
%)
Index of Multiple Deprivation Decile
Age 10-11 Age 4-5
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Source: Public Health England
Social disparity – Physical inactivity
0%
5%
10%
15%
20%
25%
30%
35%
MostAffluent
LeastAffluent
% In
acti
ve
Index of Multiple Deprivation Decile
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Source: Public Health England
Female Life Expectancy Deprivation Gap – Decomposition by Age
77
78
79
80
81
82
83
84
85
LeastAffluent
0-9 10-19 20-29 30-39 40-49 50-59 60-69 70-79 80-89 90+ MostAffluent
Life
exp
ecta
ncy
at
bir
th
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Source: Public Health England
79.4Years
0.1Years
0.1Years
0.1Years
0.3Years
0.7Years
0.7Years
1.6Years
1.2Years
0.5Years
-0.4Years
84.1Years
Majority of the deprivation gap (4.0 years)
▪ Introduction: A Look Back
▪ Medical Progress
▪ Socio-economic Influences
▪ Medical Progress – the Next Generation
▪ Conclusion
18 May 2018
Drivers of Future Longevity
33Drivers of longevity
Antimicrobial resistance - AMR
• Rapid growth of antibiotic resistance
• Primary causes - overuse of antibiotics in human and veterinary care
• Methicillin-Resistant Staphylococcus Aureus (MRSA): kills more Americans than HIV/AIDS, Parkinson’s, Emphysema & Homicide
• Caesarean deliveries, joint replacements, cancer drugs and organ transplants are supported and made safe by antibiotics
• Steady fall in new antibiotic development over the last 30 years
• More difficult to find new antibiotics than other drugs & less profit to be made
• Patents expire before R&D costs recouped
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• Gains from medical progress can’t repeat the old and will need new direction The basics remain very important:
Prevention,
Early diagnosis,
Lifestyle improvements
• What will make the difference?– Artificial intelligence
– Genomics
– Stem cell therapy
18 May 2018 Drivers of longevity 35
Medical Progress – the Next Generation
• Diagnosis– AI software to analyse symptoms and signs and interpret images
• Online consultations– Babylon Health app asks questions, arranges online GP appointment and sends prescriptions
• Treatment– IBM Watson assisting in cancer therapy
• Precision medicine– search and match mutations with diseases in huge data sets of genetic information and medical
records
• Drug creation– AI technology can do 2 months work in one day searching therapies based on molecular structure
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The Next Generation – Artificial Intelligence
• Gene editing– CRISPR/Cas9 and other molecular scissors
– Molecular scissors are activated in target tissue
– Still in R&D
– Potential for single-gene disorders such as cystic fibrosis, haemophilia, and sickle cell disease
• Precision or personalized medicine– Mining data sets of genetic information and medical
records to find links between mutations and disease
– Developing cancer drugs for mutations found in tumours
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The Next Generation - Genomics
https://upload.wikimedia.org/wikipedia/commons/5/51/GRNA-Cas9.png
• Regenerative medicine– Heart damage repair– Diabetes type 1– Replacing organs - joints, trachea, skin, bladder, heart
• Hematopoietic stem cell transplantation: – bone marrow or umbilical cord
• thalassaemia, sickle-cell disease, leukaemia
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The Next Generation - Stem cell therapy
▪ Introduction: A Look Back
▪ Medical Progress
▪ Socio-economic Influences
▪ Medical Progress – the Next Generation
▪ Conclusion
18 May 2018
Drivers of Future Longevity
39Drivers of longevity
Conclusion
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Source: ONS, National Population Projections Accuracy Report, July 2015
Conclusion
• Future medical gains in Life Expectancy?– Artificial intelligence
– Genomics
– Stem cell therapy
• Potential losses in Life Expectancy?– AMR, obesity, alcohol and drug abuse, pollution
– climate change, population growth, food shortage, conflicts
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Conclusion
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Source: ONS, National Population Projections Accuracy Report, July 2015
Source: Adobe Stock Source: Adobe Stock
18 May 2018 43
Questions Comments
Drivers of longevity