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Cardiovascular disease risk factors

                            factors
CVD Inequalities
Causes, Consequences & Challenges

                       Challenges
                   Simon Capewell
                    Professor of Clinical Epidemiology
                   LIVERPOOL UNIVERSITY UK
                      Madrid, 18th February                   2010
                     Thanks: Susanne Logstrup, Sophie O’Kelly,Muri el
                                                               Muri
                       Mioulet, Lars Ryden, Ilaria Leggeri, Robin Ireland,
                       Philip James,M artinO ’Flaherty, Julia Critchley,
                                     M       O
                       RosalindRai ne, Hilary Graham, Maddy Bajekal,
                                Rai
                       MargaretWh itehead, PeterWh incup, EarlFFord, Pedro
                                 Wh                 Wh
                       Marques-Vidal, Sarah Wild, Ann Capewell




                     European Society
                     European Society
                       of Cardiology
                       of Cardiology
                             &
                             &
                  European Heart Network
                  European Heart Network             2009
Cardiovascular disease risk factors

                            factors
CVD Inequalities
Causes, consequences & challenges

                       challenges


   THIS TALK
Big inequalities CVD burden of disease

                               disease

Big inequalities in CVD risk factors
Choices for CVD prevention: ⇑⇓ Inequalities

                               Inequalities
WHO




            

Commission




                

     on




        

   Social




            

Determinants
 of Health

    Health
    2008

    2008
Life expectancy at birth (men)
Glasgow, Scotland (deprived suburb) 54

                                    54
India                               61

                                    61
Philippines                         65

                                    65
Lithuania                           66

                                    66
Poland                              71

                                    71
Mexico                              72

                                    72
Cuba                                75

                                    75
US                                  75

                                    75
UK                                  76

                                    76


                      WHO Commission on Social Determinants of Health 2008
Life expectancy at birth (men)
Glasgow, Scotland (deprived suburb) 54

                                    54
India                               61

                                    61
Philippines                         65

                                    65
Lithuania                           66

                                    66
Poland                              71

                                    71
Mexico                              72

                                    72
Cuba                                75

                                    75
US                                  75

                                    75
UK                                  76

                                    76
Glasgow, Scotland (affluent suburb) 82

                                    82
                      WHO Commission on Social Determinants of Health 2008
WHO Commission on




                                                             

    Social Determinants of Health

                           Health
 Three overarching recommendations

                   recommendations
• Improve conditions of daily life
• Tackle the inequitable distribution of
 power, money & resources

• Measure & understand the problem
 and assess the impact of action
           http://www.euro.who.int/socialdeterminants/publications/publications
WHO Commission on




                                                                

    Social Determinants of Health

                           Health
 Three overarching recommendations

                   recommendations
• Improve conditions of daily life
• Tackle the inequitable distribution of
  power, money & resources
• Measure & understand the problem and
  assess the impact of action

              http://www.euro.who.int/socialdeterminants/publications/publications
Poverty rates before & after income transfers
(direct tax & welfare benefits) EU & USA 2000




                                     Smeeding 2005
                                     H Graham 2009
Poverty rates before & after income transfers




                                                          

(direct tax & welfare benefits) EU & USA 2000


  40


  30


  20


  10


   0

           US             UK           Sweden

                                         Smeeding 2005

                     before
   after
                                         H Graham 2009
WHO Commission on




                                                              

    Social Determinants of Health

                           Health
 Three overarching recommendations

                   recommendations
• Improve conditions of daily life
• Tackle the inequitable distribution of
  power, money & resources

• Measure & understand the problem
  & assess the impact of action
            http://www.euro.who.int/socialdeterminants/publications/publications
Cardiovascular disease (CVD) risk factors
CVD Inequalities
Causes, consequences & choices



Big inequalities in CVD burden of disease

                                  disease
Inequalities in CVD




                       

   disease burden

            burden

Poverty (Deprivation)

        (Deprivation)
Deprivation & Heart Attack Incidence




                                                                              

  (patients aged <65 Scotland 1990-2000)




                                                                        

                       25

                       20

                       20
     event rate per 1000
              




                       15

                       15                                 Hospital
                       10

                       10
                                                           admissions
                                                           Deaths by 30 days
                           5                              Pre-hospital




                                                                                     

                           0
                                                            deaths

                                                            deaths
   (Affluent)                  1   2     3    4       5    (Deprived)

                               deprivation quintile   

                                                          MacIntyre   et al BMJ   2000
Inequalities in CVD




                      

  disease burden

           burden

      Age
           

  Men & Women

        Women
CVD Patients: AGE                  UK 2006
10000


1000
         Mor tality rate/100,000
               (log scale)
  100

                                                      MEN
   10


    1
        <34   35-44 45-54 55
                            -64 65-74 75-84 85+   AGE (years)
CVD Patients: SEX & AGE                              UK 2006





                                                     

10000



 1000

           Mor tality rate/100,000

                 (log scale)

  100


                                                         MEN
   10
                                                   WOMEN


     1

          <34   35-44 45-54 55

                              -64 65-74 75-84 85+
   AGE (years)
Inequalities in CVD




                      

  disease burden

           burden

   Geography

   Geography
North/South




                   
 

Inequalities in
    CVD





     www.heartstats.org
Big CVD inequalitiesyears) in the WHO European Region
          Cardiovascular mortality (up to 65
                                             across Europe





                                                        < 300
                                                        < 240
                                                        < 180
                                                        < 120
                 Most recent data                       0 - 60
                                                        No data
                                                    SDR per 100000




….the main contributor to a 20 year difference in life expectancy across EU
Inequalities in CVD




                      

  disease burden

           burden

     Trends

     Trends
Most Deprived




Inequality ratio =
    1.9
                     Most Affluent
                                            Inequality ratio =
                                                1.7
EUROPE
Total mortality INEQUALITIES (inequality ratios)

INEQUALITIES increased between 1980s and
           1990s in many EU countries

                              Mackenbach et al. IJE 2003 32:830
Cardiovascular disease (CVD) risk factors

                                  factors
CVD Inequalities
Causes, consequences & choices

   THIS TALK
Big inequalities in CVD disease burden

Big inequalities in CVD risk factors

                             factors

Choices for CVD prevention
CVD risk factors

         factors
MODIFIABLE

MODIFIABLE
CVD risk factors

         factors
Five year CHD death rates in

                           in
   British men aged 35-64

                       64
                               (British Regional Heart Study)
20

        17

15             Smokers
                                NON-Smokers
                    12
10
      1117.5                   10

                   10.8                 6
5              6
                                             High Cholesterol
                           4
                                    2       Low Cholesterol
     High Low             High Low
      BP BP                BP Blood Pressure
CVD causation pathways

               Upstream

                risk factors





                 Downstream

                 Risk factors
CVD causation pathways

               Upstream

                                risk factors



            Blood
  Smoking              Lipids   Diabetes
            Pressure


                                 Downstream
              CVD events              Risk factors
CVD causation pathways

               Upstream

                                     risk factors

            Diet          BMI
                          Obesity    Activity



               Blood
  Smoking                   Lipids     Diabetes
               Pressure


                                        Downstream
                   CVD events                     Risk factors
CVD causation pathways

  Deprivation  Upstream
                                     risk factors
            Diet          Obesity    Activity



               Blood
  Smoking                   Lipids     Diabetes
               Pressure


                                        Downstream
                   CVD events                     risk factors
GRADIENTS IN




                

CVD risk factors

         factors
GRADIENTS IN




                

CVD risk factors

         factors

   SMOKING

   SMOKING
Smoking

  Place &




          

Social Class
Trends in Cigarette smoking among women
60
Affluent & Deprived groups Britain, 1958-2000
50


40
                                                            Deprived

30


20

                                          Affluent
10


 0
     1958                        1978                            1998

                                                                   Goddard 2008
                    w omen-professional     w omen-unsk manual     Graham 2009
Socio-economic inequalities

•	 Five fold social gradients in
   premature CVD mortality rates
•	 Mostly explained by gradients in
   smoking        & diet



      & other pathways [stress, adrenaline etc]
Nigel Unwin
Deprived

Affluent
CVD causation pathways

  Deprivation  Upstream
                                     risk factors
            Diet          Obesity    Activity



               Blood
  Smoking                   Lipids     Diabetes
               Pressure


                                        Downstream
                   CVD RISK                       risk factors
Higher CVD risk in deprived groups
Proportion of men exceeding 10% risk of CVD death within one decade (Qrisk database)




     Affluent            Quintiles of the Townsend    score         Deprived
                                                                  Hippisley-Cox Heart 2007
Cardiovascular disease (CVD) risk factors

                                  factors
CVD Inequalities
Causes, consequences & choices

   THIS TALK
Big inequalities in CVD

Big inequalities in CVD risk factors

Choices for CVD prevention
CVD process: in an individual
100%



Survival




 0%
   Birth       Youth     Middle Age          Age (years) ⇒

           Artery Atheroma   Thrombosis
                                          Capewell et al 2009
CVD process: in an individual
100%
       Natural Cou
                  rse of CVD

Survival




 0%
   Birth        Youth          Middle Age          Age (years) ⇒

           Artery Atheroma         Thrombosis
                                                Capewell et al 2009
CVD process: in an individual
100%
       Natural Cou
                  rse of CVD

Survival

                                                First Stroke or
                                                Heart Attack




 0%
    Birth       Youth          Middle Age                         Age (years) ⇒

            Artery Atheroma        Thrombosis
                                                             Capewell et al 2009
CVD process: in an individual
100%
       Natural Cou
                  rse of CVD

Survival

                                                  First Stroke or

                                                               or
       NO Symptoms                                Heart Attack

                                                         Attack
                           Symptoms


                                    Sudden
                                    Death  Typical Lucky
                                    (common)   decline
 0%
    Birth       Youth          Middle Age                            Age (years) ⇒



                                                                Capewell et al 2009
CVD process: in an individual
100%
       Natural Cou
                  rse of CVD

Survival

                                                  First Stroke or

                                                               or
       NO Symptoms                                Heart Attack

                                                         Attack
                           Symptoms
                      Secondary prevention         Health services

                                    Sudden
                                    Death  Typical Lucky
                                    (common)   decline
 0%
    Birth       Youth          Middle Age                            Age (years) ⇒



                                                                Capewell et al 2009
CVD process: in an individual
100%
       Natural Cou
                  rse of CVD                Disease
                                            Promotion
Survival
                     Primary
                     Prevention                   First Stroke or
       NO Symptoms                                Heart Attack
                           Symptoms
                      Secondary prevention         Health services

                                    Sudden
                                    Death  Typical Lucky
                                    (common)   decline
 0%
    Birth       Youth          Middle Age                           Age (years) ⇒



                                                               Capewell et al 2009
CVD Prevention in a POPULATION
100%
       Natural Cou
                  rse of CVD       Advertising
Survival
                        Primary
                    Prevention
                                        First Stroke or
                                        Heart Attack




 0%

 0%
                   60             70        Age (years) 80

                                                        80



                                                     Capewell et al 2009
CVD Prevention in a POPULATION
100%
       Natural Cou
                  rse of CVD    More
                                advertising
Survival
                 Primary
                Prevention           First Stroke or
                                     Heart Attack




 0%

 0%
                   60          70        Age (years) 80

                                                     80



                                                  Capewell et al 2009
CVD Prevention in a POPULATION
100%
       Natural Cou
                  rse of CVD
                                Advertising
                                    Eg ⇑ tobacco control
Survival          EFFECTIVE
                 Primary                       DELAYED First Stroke
                 Prevention                    or Heart Attack




 0%

 0%
                   60          70            Age (years) 80

                                                         80



                                                      Capewell et al 2009
CVD Prevention in a POPULATION
100%                                  HEALTH PROTECTION
       Natural Cou                     Eg by tobacco or salt
                  rse of CVD
                                                legislation
Survival         EFFECTIVE
                  Primary                  First Stroke or Heart
                    Prevention             Attack PREVENTED




 0%
                   60            70      Age (years) 80



                                                  Capewell et al 2009
CVD prevention strategies

               strategies
• High Risk Individual Approach
• Population-based Approach
CVD prevention approaches

                    approaches

Prevalence
%
                             Blood Pressure
                             distribution in the
30                           population
     





20
     





10
     





0
             110   120   130 Systolic BP    160

                                            160
CVD prevention:   High risk individual approach
Prevalence
%
                               Blood Pressure
                               distribution in the
30                             population
     





20
                                 SBP >140 mmHg
     





10
     





0
             110   120    130 Systolic BP     160

                                              160
CVD prevention:   High risk individual approach
Prevalence
%
                               Blood Pressure
                               distribution in the
30                             population
     





20
                                    BP >140 mmHg
     





                                    Medications
10
     





0
             110   120    130 Systolic BP     160

                                              160
Population-based CVD prevention strategy

                                     strategy

Prevalence
%
                           Shifting Blood
                           Pressure distribution
30
     





20
     





10
     





0
             110   120   130 Systolic BP    160

                                            160
Population-based CVD prevention strategy

                                     strategy

Prevalence
%
                           Shifting Blood
                           Pressure distribution
30
     





20
     





10
     





0
             110   120   130 Systolic BP    160

                                            160
Population-based CVD prevention strategy

                                     strategy

Prevalence
%
                           Shifting Blood
                           Pressure distribution
30
     





20
                                Fewer BP >140      mmHg
     





                                Less treatments
10
     





0
             110   120   130 Systolic BP    160

                                            160
Whole-population approach for
preventing CVD: successful policies
– Farmers subsidies to stop dairy &
  beef , start fruit & berry production (Finland)
– Support food reformulation (All)
Whole-population approach for
preventing CVD: successful policies
– Farmers subsidies to stop dairy &
  beef , start fruit & berry production (Finland)
– Support food reformulation (All)
– Banning transfats (Denmark)
– Halving dietary salt (Finland)
– Promoting smoke-free public spaces
                        (Ireland, UK ,Italy etc)
Ireland: modelling reductions in

                                in
   cardiovascular risk factors

                       factors

Primary Prevention




                                                    

      Population Approach

   ⇓ Risk Factors in everyone

                 Versus
                      

         High Risk strategy

                               

using statin & blood pressure medications




                                               

                            BMC Public Health 2007 7 117
CHD prevention in                    Ireland 1985-2000:




                                                                        

 Population           v.   High Risk               Strategies

Deaths prevented or postponed (Sensitivity analysis )
                                      BMC Public Health.
                            High      2007; 7:117.
                            Risk               Population Treating
                           Statins             secular BP   High
    Population                                   trends     Risk
                 Diet
       diet    change
     change       in                          Blood
                CHD
               patients                      Pressure

     Cholesterol
                                         BMC Public Health 2007 7 117
CHD prevention in                    Ireland 1985-2000:




                                                                        

 Population           v.   High Risk               Strategies

Deaths prevented or postponed (Sensitivity analysis )

                            High
                            Risk              Population Treating
                           Statins            secular BP   High
    Population                                  trends     Risk
                 Diet
       diet    change
     change       in                         Blood
                CHD
               patients                     Pressure

     Cholesterol
                                        BMC Public Health 2007 7 117
NICE Programme Development Group:
CVD prevention in populations

Will CVD prevention
widen health inequalities?
                  Simon Capewell
                       25th June 2009
The UK high risk approach
for preventing CVD
UK Department of Health programme:

                        programme:
 NHS Health Checks
The UK high risk approach
for preventing CVD
UK Department of Health programme:
 NHS Health Checks
 – All adults aged 40+ screened for CVD risk
 – If 20%+ risk CVD event in the next
   ten years, treat with:

                    with:




                                               

   • lifestyle advice plus
   • tablets to reduce cholesterol & blood pressure
Evidence that high risk approach
   may increase social inequalities
Tudor Hart’s “Inverse Care Law”




                                                                                           

Tugwell’s “staircase effect”
  J Tudor Hart . The inverse care law. Lancet 1971;1; 405. P Tugwell; BMJ 2006;33 2; 358
                     inverse                        1;       Tugw     BMJ 2006; 33 35
Evidence that high risk approach
    may increase social inequalities
Tudor Hart’s “Inverse Care Law”




                                                                                         

• The availability of good medical care tends to
  vary inversely with actual need
	




Tugwell’s “staircase effect”
 Disadvantage can occur at every stage:
    – Health beliefs, health behaviour, presentation
    participation, persistence or adherence

                  J Tudor Hart . The inverse care law. Lancet 1971;1; 405. P Tugwell; BMJ 2006;33 2; 358
                                     inverse                        1;       Tugw     BMJ 2006; 33 35
Evidence that high risk approach
       may increase social inequalities
Prescribing gradients

Long term adherence
Smoking cessation

Nutrition interventions in individuals

                           individuals




 Oldroyd J. JECH 2008; 62:573. Thomsen R W, Br J Clin Pharm. 2005; 60;534;
                       62:573.                               2005;
                                                                             



 Ashworth, M, QJof Amb Care Management: 2008; 31; 220;

                                                    220;
 Vrijens B, BMJ 2008;336:1114; Morisky D. Clin Hypertension 2008; 10; 348

 Vrijens        2008;336:11                                            348
 Johnell K BMC PublicHealt h2005, 5: 17
           BMC        Healt 2005, 5:         Chaudhry HJ. Current Ather.

                                                                   Ather.
 Rep 2008; 10; 19; Bouchard MH, Br J Clin Pharmacol. 2007 63(6): 698
                   Bouchard                               63(6): 698
Evidence that whole POPULATION CVD
prevention reduces social inequalities
 Kivimaki, Marmot et al Lancet 2008

15 year risk of CHD death
• calculated in British men aged 55
	 	




• quantified the benefits of decreasing risk
  factors uniformly across population
      [systolic blood pressure ⇓10mmHg
       total cholesterol⇓ 2mmol/l & glucose ⇓ 1 mmol/l ]
Evidence that whole POPULATION CVD
prevention reduces social inequalities
 Kivimaki, Marmot et al Lancet 2008

15 year risk of CHD death
• calculated in British men aged 55
	 	




• quantified the benefits of decreasing risk
  factors uniformly across population
      [systolic blood pressure ⇓10mmHg
       total cholesterol⇓ 2mmol/l & glucose ⇓ 1 mmol/l ]
• Would reduce the absolute mortality gap
  between affluent & deprived by ≈70%
Evidence that whole POPULATION CVD
prevention reduces social inequalities
Diet interventions
• Folic acid fortification of cereals (USA population1996)




                                                Dowd IJE 2008; 37(5):1059
                                                Dowd IJE 2008; 37(5):1059
Evidence that whole POPULATION CVD
prevention reduces social inequalities
 Diet interventions
 Folic acid fortification of cereals (USA population1996)
 Blood folate levels: Social gradients ⇓⇓ ≈ 70%




                                                Dowd IJE 2008; 37(5):1059
                                                Dowd IJE 2008; 37(5):1059
Evidence that whole POPULATION CVD
prevention reduces social inequalities
Smoking
• cigarette price increases more effective in
  deprived groups TownsendBMJ 1994; 309; 923
                     Town send BMJ 1994; 309; 923



“increase in tobacco price may have the potential

                                        potential
  to reduce smoking related health inequalities”




                                                                             

                        Main Meta-analysis. BMC Public Health 2008; 8; 178
                             Meta-          BM
CVD prevention
 & health inequalities
  VERDICT
♥ High Risk Strategies
toscreen & treat individuals
 typically widen social inequalities
CVD prevention
 & health inequalities
  VERDICT
♥ High Risk Strategies
toscreen & treat individuals
 typically widen social inequalities
♥ Population wide policy interventions




                                         

 usually narrow the inequalities gap
CVD population prevention

               prevention
 ⇒ € COST SAVINGS
CVD population-wide prevention

                    prevention
   ⇒ € COST SAVINGS

            SAVINGS
• USA Trust for America’s Health
• Australia Abelson
• UK Wanless Report 2004
         (save € 40 billion)
     NICE Guidance 2010 [Draft]
        (save € 5 billion – €10 billion)
Cardiovascular disease (CVD) risk factors

                                  factors
CVD Inequalities
Causes, consequences & choices


 Social Inequalities




                                     
 

in CVD treatments?
Deprived patients get less treatment
Those who need most care get least care
Deprived patients get less treatment

Those who need most care get least care
 –   Management & drugs (Roland 2009)
 –   Referral from primary care (Dixon; McBride & Raine)
 –   Under-use of diagnostics (Hippisley Cox)
 –   Less Revascularization BJGP 2000; 50: 449; BMJ 1997;
     314: 257

 – Less rehabilitation
Deprived patients get less treatment


  OLD patients get less treatment


    WOMEN get less treatment
Cardiovascular disease (CVD) risk factors

                                  factors
CVD Inequalities
Causes, consequences & choices

 CVD Inequalities in UK

                     UK
How big are the inequalities
in YOUR country??
CVD prevention in EU
WHAT WE HAVE ACHIEVED
• European Heart Health Charter (EHHC)

                                 EHHC)
• Spanish Presidency Declaration 2002

                                  2002
• Council Conclusions 2004
CVD prevention in EU

                  EU
WHAT WE HAVE ACHIEVED
• European Heart Health Charter (EHHC)
• Spanish Presidency Declaration 2002
• Council Conclusions 2004
WHAT WE CAN DO NOW
• ⇑ Tobacco Control [& price]
• ⇑ fruit & vegetable consumption
• ⇓ meat & dairy [& HELP climate change]
• Ban junk food advertising
• Ban trans fats
Cardiovascular disease risk factors
CVD Inequalities
 Causes, consequences & challenges
   CONCLUSIONS
Big CVD inequalities burden of disease
 - Social, Age, Sex, Place, Ethnicity

                            Ethnicity
Big inequalities in CVD risk factors




                                          

 - Smoking & Diet (Blood Pressure & Cholesterol)
Cardiovascular disease risk factors
CVD Inequalities
Causes, consequences & choices
   CONCLUSIONS
Big CVD inequalities burden of disease
 - Social, Age, Sex, Place, Ethnicity
Big inequalities in CVD risk factors




                                         

 - Smoking & Diet (BP & Cholesterol)

Choices for CVD prevention:
 -Individual approach ⇑CVD Inequalities⇑
 -Population approach ⇓CVD Inequalities⇓
Cardiovascular disease inequalities: causes and consequences

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Cardiovascular disease inequalities: causes and consequences

  • 1. Cardiovascular disease risk factors factors CVD Inequalities Causes, Consequences & Challenges Challenges Simon Capewell Professor of Clinical Epidemiology LIVERPOOL UNIVERSITY UK Madrid, 18th February 2010 Thanks: Susanne Logstrup, Sophie O’Kelly,Muri el Muri Mioulet, Lars Ryden, Ilaria Leggeri, Robin Ireland, Philip James,M artinO ’Flaherty, Julia Critchley, M O RosalindRai ne, Hilary Graham, Maddy Bajekal, Rai MargaretWh itehead, PeterWh incup, EarlFFord, Pedro Wh Wh Marques-Vidal, Sarah Wild, Ann Capewell European Society European Society of Cardiology of Cardiology & & European Heart Network European Heart Network 2009
  • 2. Cardiovascular disease risk factors factors CVD Inequalities Causes, consequences & challenges challenges THIS TALK Big inequalities CVD burden of disease disease Big inequalities in CVD risk factors Choices for CVD prevention: ⇑⇓ Inequalities Inequalities
  • 3. WHO Commission on Social Determinants of Health Health 2008 2008
  • 4. Life expectancy at birth (men) Glasgow, Scotland (deprived suburb) 54 54 India 61 61 Philippines 65 65 Lithuania 66 66 Poland 71 71 Mexico 72 72 Cuba 75 75 US 75 75 UK 76 76 WHO Commission on Social Determinants of Health 2008
  • 5. Life expectancy at birth (men) Glasgow, Scotland (deprived suburb) 54 54 India 61 61 Philippines 65 65 Lithuania 66 66 Poland 71 71 Mexico 72 72 Cuba 75 75 US 75 75 UK 76 76 Glasgow, Scotland (affluent suburb) 82 82 WHO Commission on Social Determinants of Health 2008
  • 6.
  • 7. WHO Commission on Social Determinants of Health Health Three overarching recommendations recommendations • Improve conditions of daily life • Tackle the inequitable distribution of power, money & resources • Measure & understand the problem and assess the impact of action http://www.euro.who.int/socialdeterminants/publications/publications
  • 8. WHO Commission on Social Determinants of Health Health Three overarching recommendations recommendations • Improve conditions of daily life • Tackle the inequitable distribution of power, money & resources • Measure & understand the problem and assess the impact of action http://www.euro.who.int/socialdeterminants/publications/publications
  • 9. Poverty rates before & after income transfers (direct tax & welfare benefits) EU & USA 2000 Smeeding 2005 H Graham 2009
  • 10. Poverty rates before & after income transfers (direct tax & welfare benefits) EU & USA 2000 40 30 20 10 0 US UK Sweden Smeeding 2005 before after H Graham 2009
  • 11. WHO Commission on Social Determinants of Health Health Three overarching recommendations recommendations • Improve conditions of daily life • Tackle the inequitable distribution of power, money & resources • Measure & understand the problem & assess the impact of action http://www.euro.who.int/socialdeterminants/publications/publications
  • 12. Cardiovascular disease (CVD) risk factors CVD Inequalities Causes, consequences & choices Big inequalities in CVD burden of disease disease
  • 13. Inequalities in CVD disease burden burden Poverty (Deprivation) (Deprivation)
  • 14. Deprivation & Heart Attack Incidence (patients aged <65 Scotland 1990-2000) 25 20 20 event rate per 1000 15 15 Hospital 10 10 admissions Deaths by 30 days 5 Pre-hospital 0 deaths deaths (Affluent) 1 2 3 4 5 (Deprived) deprivation quintile MacIntyre et al BMJ 2000
  • 15. Inequalities in CVD disease burden burden Age Men & Women Women
  • 16. CVD Patients: AGE UK 2006 10000 1000 Mor tality rate/100,000 (log scale) 100 MEN 10 1 <34 35-44 45-54 55 -64 65-74 75-84 85+ AGE (years)
  • 17. CVD Patients: SEX & AGE UK 2006 10000 1000 Mor tality rate/100,000 (log scale) 100 MEN 10 WOMEN 1 <34 35-44 45-54 55 -64 65-74 75-84 85+ AGE (years)
  • 18. Inequalities in CVD disease burden burden Geography Geography
  • 19. North/South Inequalities in CVD www.heartstats.org
  • 20. Big CVD inequalitiesyears) in the WHO European Region Cardiovascular mortality (up to 65 across Europe < 300 < 240 < 180 < 120 Most recent data 0 - 60 No data SDR per 100000 ….the main contributor to a 20 year difference in life expectancy across EU
  • 21. Inequalities in CVD disease burden burden Trends Trends
  • 22. Most Deprived Inequality ratio = 1.9 Most Affluent Inequality ratio = 1.7
  • 23. EUROPE Total mortality INEQUALITIES (inequality ratios) INEQUALITIES increased between 1980s and 1990s in many EU countries Mackenbach et al. IJE 2003 32:830
  • 24. Cardiovascular disease (CVD) risk factors factors CVD Inequalities Causes, consequences & choices THIS TALK Big inequalities in CVD disease burden Big inequalities in CVD risk factors factors Choices for CVD prevention
  • 25. CVD risk factors factors
  • 27. Five year CHD death rates in in British men aged 35-64 64 (British Regional Heart Study) 20 17 15 Smokers NON-Smokers 12 10 1117.5 10 10.8 6 5 6 High Cholesterol 4 2 Low Cholesterol High Low High Low BP BP BP Blood Pressure
  • 28. CVD causation pathways Upstream risk factors Downstream Risk factors
  • 29. CVD causation pathways Upstream risk factors Blood Smoking Lipids Diabetes Pressure Downstream CVD events Risk factors
  • 30. CVD causation pathways Upstream risk factors Diet BMI Obesity Activity Blood Smoking Lipids Diabetes Pressure Downstream CVD events Risk factors
  • 31. CVD causation pathways Deprivation Upstream risk factors Diet Obesity Activity Blood Smoking Lipids Diabetes Pressure Downstream CVD events risk factors
  • 32. GRADIENTS IN CVD risk factors factors
  • 33. GRADIENTS IN CVD risk factors factors SMOKING SMOKING
  • 34. Smoking Place & Social Class
  • 35. Trends in Cigarette smoking among women 60 Affluent & Deprived groups Britain, 1958-2000 50 40 Deprived 30 20 Affluent 10 0 1958 1978 1998 Goddard 2008 w omen-professional w omen-unsk manual Graham 2009
  • 36. Socio-economic inequalities • Five fold social gradients in premature CVD mortality rates • Mostly explained by gradients in smoking & diet & other pathways [stress, adrenaline etc]
  • 39. CVD causation pathways Deprivation Upstream risk factors Diet Obesity Activity Blood Smoking Lipids Diabetes Pressure Downstream CVD RISK risk factors
  • 40. Higher CVD risk in deprived groups Proportion of men exceeding 10% risk of CVD death within one decade (Qrisk database) Affluent Quintiles of the Townsend score Deprived Hippisley-Cox Heart 2007
  • 41. Cardiovascular disease (CVD) risk factors factors CVD Inequalities Causes, consequences & choices THIS TALK Big inequalities in CVD Big inequalities in CVD risk factors Choices for CVD prevention
  • 42. CVD process: in an individual 100% Survival 0% Birth Youth Middle Age Age (years) ⇒ Artery Atheroma Thrombosis Capewell et al 2009
  • 43. CVD process: in an individual 100% Natural Cou rse of CVD Survival 0% Birth Youth Middle Age Age (years) ⇒ Artery Atheroma Thrombosis Capewell et al 2009
  • 44. CVD process: in an individual 100% Natural Cou rse of CVD Survival First Stroke or Heart Attack 0% Birth Youth Middle Age Age (years) ⇒ Artery Atheroma Thrombosis Capewell et al 2009
  • 45. CVD process: in an individual 100% Natural Cou rse of CVD Survival First Stroke or or NO Symptoms Heart Attack Attack Symptoms Sudden Death Typical Lucky (common) decline 0% Birth Youth Middle Age Age (years) ⇒ Capewell et al 2009
  • 46. CVD process: in an individual 100% Natural Cou rse of CVD Survival First Stroke or or NO Symptoms Heart Attack Attack Symptoms Secondary prevention Health services Sudden Death Typical Lucky (common) decline 0% Birth Youth Middle Age Age (years) ⇒ Capewell et al 2009
  • 47. CVD process: in an individual 100% Natural Cou rse of CVD Disease Promotion Survival Primary Prevention First Stroke or NO Symptoms Heart Attack Symptoms Secondary prevention Health services Sudden Death Typical Lucky (common) decline 0% Birth Youth Middle Age Age (years) ⇒ Capewell et al 2009
  • 48. CVD Prevention in a POPULATION 100% Natural Cou rse of CVD Advertising Survival Primary Prevention First Stroke or Heart Attack 0% 0% 60 70 Age (years) 80 80 Capewell et al 2009
  • 49. CVD Prevention in a POPULATION 100% Natural Cou rse of CVD More advertising Survival Primary Prevention First Stroke or Heart Attack 0% 0% 60 70 Age (years) 80 80 Capewell et al 2009
  • 50. CVD Prevention in a POPULATION 100% Natural Cou rse of CVD Advertising Eg ⇑ tobacco control Survival EFFECTIVE Primary DELAYED First Stroke Prevention or Heart Attack 0% 0% 60 70 Age (years) 80 80 Capewell et al 2009
  • 51. CVD Prevention in a POPULATION 100% HEALTH PROTECTION Natural Cou Eg by tobacco or salt rse of CVD legislation Survival EFFECTIVE Primary First Stroke or Heart Prevention Attack PREVENTED 0% 60 70 Age (years) 80 Capewell et al 2009
  • 52. CVD prevention strategies strategies • High Risk Individual Approach • Population-based Approach
  • 53. CVD prevention approaches approaches Prevalence % Blood Pressure distribution in the 30 population 20 10 0 110 120 130 Systolic BP 160 160
  • 54. CVD prevention: High risk individual approach Prevalence % Blood Pressure distribution in the 30 population 20 SBP >140 mmHg 10 0 110 120 130 Systolic BP 160 160
  • 55. CVD prevention: High risk individual approach Prevalence % Blood Pressure distribution in the 30 population 20 BP >140 mmHg Medications 10 0 110 120 130 Systolic BP 160 160
  • 56. Population-based CVD prevention strategy strategy Prevalence % Shifting Blood Pressure distribution 30 20 10 0 110 120 130 Systolic BP 160 160
  • 57. Population-based CVD prevention strategy strategy Prevalence % Shifting Blood Pressure distribution 30 20 10 0 110 120 130 Systolic BP 160 160
  • 58. Population-based CVD prevention strategy strategy Prevalence % Shifting Blood Pressure distribution 30 20 Fewer BP >140 mmHg Less treatments 10 0 110 120 130 Systolic BP 160 160
  • 59. Whole-population approach for preventing CVD: successful policies – Farmers subsidies to stop dairy & beef , start fruit & berry production (Finland) – Support food reformulation (All)
  • 60. Whole-population approach for preventing CVD: successful policies – Farmers subsidies to stop dairy & beef , start fruit & berry production (Finland) – Support food reformulation (All) – Banning transfats (Denmark) – Halving dietary salt (Finland) – Promoting smoke-free public spaces (Ireland, UK ,Italy etc)
  • 61. Ireland: modelling reductions in in cardiovascular risk factors factors Primary Prevention Population Approach ⇓ Risk Factors in everyone Versus High Risk strategy using statin & blood pressure medications BMC Public Health 2007 7 117
  • 62. CHD prevention in Ireland 1985-2000: Population v. High Risk Strategies Deaths prevented or postponed (Sensitivity analysis ) BMC Public Health. High 2007; 7:117. Risk Population Treating Statins secular BP High Population trends Risk Diet diet change change in Blood CHD patients Pressure Cholesterol BMC Public Health 2007 7 117
  • 63. CHD prevention in Ireland 1985-2000: Population v. High Risk Strategies Deaths prevented or postponed (Sensitivity analysis ) High Risk Population Treating Statins secular BP High Population trends Risk Diet diet change change in Blood CHD patients Pressure Cholesterol BMC Public Health 2007 7 117
  • 64. NICE Programme Development Group: CVD prevention in populations Will CVD prevention widen health inequalities? Simon Capewell 25th June 2009
  • 65. The UK high risk approach for preventing CVD UK Department of Health programme: programme: NHS Health Checks
  • 66. The UK high risk approach for preventing CVD UK Department of Health programme: NHS Health Checks – All adults aged 40+ screened for CVD risk – If 20%+ risk CVD event in the next ten years, treat with: with: • lifestyle advice plus • tablets to reduce cholesterol & blood pressure
  • 67. Evidence that high risk approach may increase social inequalities Tudor Hart’s “Inverse Care Law” Tugwell’s “staircase effect” J Tudor Hart . The inverse care law. Lancet 1971;1; 405. P Tugwell; BMJ 2006;33 2; 358 inverse 1; Tugw BMJ 2006; 33 35
  • 68. Evidence that high risk approach may increase social inequalities Tudor Hart’s “Inverse Care Law” • The availability of good medical care tends to vary inversely with actual need Tugwell’s “staircase effect” Disadvantage can occur at every stage: – Health beliefs, health behaviour, presentation participation, persistence or adherence J Tudor Hart . The inverse care law. Lancet 1971;1; 405. P Tugwell; BMJ 2006;33 2; 358 inverse 1; Tugw BMJ 2006; 33 35
  • 69. Evidence that high risk approach may increase social inequalities Prescribing gradients Long term adherence Smoking cessation Nutrition interventions in individuals individuals Oldroyd J. JECH 2008; 62:573. Thomsen R W, Br J Clin Pharm. 2005; 60;534; 62:573. 2005; Ashworth, M, QJof Amb Care Management: 2008; 31; 220; 220; Vrijens B, BMJ 2008;336:1114; Morisky D. Clin Hypertension 2008; 10; 348 Vrijens 2008;336:11 348 Johnell K BMC PublicHealt h2005, 5: 17 BMC Healt 2005, 5: Chaudhry HJ. Current Ather. Ather. Rep 2008; 10; 19; Bouchard MH, Br J Clin Pharmacol. 2007 63(6): 698 Bouchard 63(6): 698
  • 70. Evidence that whole POPULATION CVD prevention reduces social inequalities Kivimaki, Marmot et al Lancet 2008 15 year risk of CHD death • calculated in British men aged 55 • quantified the benefits of decreasing risk factors uniformly across population [systolic blood pressure ⇓10mmHg total cholesterol⇓ 2mmol/l & glucose ⇓ 1 mmol/l ]
  • 71. Evidence that whole POPULATION CVD prevention reduces social inequalities Kivimaki, Marmot et al Lancet 2008 15 year risk of CHD death • calculated in British men aged 55 • quantified the benefits of decreasing risk factors uniformly across population [systolic blood pressure ⇓10mmHg total cholesterol⇓ 2mmol/l & glucose ⇓ 1 mmol/l ] • Would reduce the absolute mortality gap between affluent & deprived by ≈70%
  • 72. Evidence that whole POPULATION CVD prevention reduces social inequalities Diet interventions • Folic acid fortification of cereals (USA population1996) Dowd IJE 2008; 37(5):1059 Dowd IJE 2008; 37(5):1059
  • 73. Evidence that whole POPULATION CVD prevention reduces social inequalities Diet interventions Folic acid fortification of cereals (USA population1996) Blood folate levels: Social gradients ⇓⇓ ≈ 70% Dowd IJE 2008; 37(5):1059 Dowd IJE 2008; 37(5):1059
  • 74. Evidence that whole POPULATION CVD prevention reduces social inequalities Smoking • cigarette price increases more effective in deprived groups TownsendBMJ 1994; 309; 923 Town send BMJ 1994; 309; 923 “increase in tobacco price may have the potential potential to reduce smoking related health inequalities” Main Meta-analysis. BMC Public Health 2008; 8; 178 Meta- BM
  • 75. CVD prevention & health inequalities VERDICT ♥ High Risk Strategies toscreen & treat individuals typically widen social inequalities
  • 76. CVD prevention & health inequalities VERDICT ♥ High Risk Strategies toscreen & treat individuals typically widen social inequalities ♥ Population wide policy interventions usually narrow the inequalities gap
  • 77. CVD population prevention prevention ⇒ € COST SAVINGS
  • 78. CVD population-wide prevention prevention ⇒ € COST SAVINGS SAVINGS • USA Trust for America’s Health • Australia Abelson • UK Wanless Report 2004 (save € 40 billion) NICE Guidance 2010 [Draft] (save € 5 billion – €10 billion)
  • 79. Cardiovascular disease (CVD) risk factors factors CVD Inequalities Causes, consequences & choices Social Inequalities in CVD treatments?
  • 80. Deprived patients get less treatment Those who need most care get least care
  • 81. Deprived patients get less treatment Those who need most care get least care – Management & drugs (Roland 2009) – Referral from primary care (Dixon; McBride & Raine) – Under-use of diagnostics (Hippisley Cox) – Less Revascularization BJGP 2000; 50: 449; BMJ 1997; 314: 257 – Less rehabilitation
  • 82. Deprived patients get less treatment OLD patients get less treatment WOMEN get less treatment
  • 83. Cardiovascular disease (CVD) risk factors factors CVD Inequalities Causes, consequences & choices CVD Inequalities in UK UK How big are the inequalities in YOUR country??
  • 84. CVD prevention in EU WHAT WE HAVE ACHIEVED • European Heart Health Charter (EHHC) EHHC) • Spanish Presidency Declaration 2002 2002 • Council Conclusions 2004
  • 85. CVD prevention in EU EU WHAT WE HAVE ACHIEVED • European Heart Health Charter (EHHC) • Spanish Presidency Declaration 2002 • Council Conclusions 2004 WHAT WE CAN DO NOW • ⇑ Tobacco Control [& price] • ⇑ fruit & vegetable consumption • ⇓ meat & dairy [& HELP climate change] • Ban junk food advertising • Ban trans fats
  • 86. Cardiovascular disease risk factors CVD Inequalities Causes, consequences & challenges CONCLUSIONS Big CVD inequalities burden of disease - Social, Age, Sex, Place, Ethnicity Ethnicity Big inequalities in CVD risk factors - Smoking & Diet (Blood Pressure & Cholesterol)
  • 87. Cardiovascular disease risk factors CVD Inequalities Causes, consequences & choices CONCLUSIONS Big CVD inequalities burden of disease - Social, Age, Sex, Place, Ethnicity Big inequalities in CVD risk factors - Smoking & Diet (BP & Cholesterol) Choices for CVD prevention: -Individual approach ⇑CVD Inequalities⇑ -Population approach ⇓CVD Inequalities⇓