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Ageing with ideal cardiovascular risk factors

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Presentation on theme: "Ageing with ideal cardiovascular risk factors"— Presentation transcript:

1 Ageing with ideal cardiovascular risk factors
In 421,000 participants from CPRD and UK Biobank J Atkins, J Delgado, K Bowman, D. Melzer University of Exeter 19/09/2018

2 Introduction Ageing is very variable, and its unclear how much of frailty in later life is preventable CVD risk factors claimed by some to not be important in late life – Weight Blood pressures control Cholesterol level *Lloyd-Jones et al, Circulation, 2010

3 Introduction In previous work our group sought to clarify specific cases of reported paradoxical associations in late life: The obesity paradox (being overweight is beneficial in later life)* Blood pressure control in later life (optimal target for older individuals) ± The work I am presenting here, focusses How cardiovascular risk affect ageing in `typical’ older adults All-cause mortality and cardiovascular events Ageing phenotypes and frailty Cardiovascular risk score based on AHA Simple 7* risks * Bowman et al. J Gerontol A Biol Sci Med Sci, 2016, ±J Delgado et al. J Am Geriatr Soc, 2016

4 Combined Risk Score 60–69 yr. 35.5% 6.5 % 62.1% 67.5 % 2.4% 26.0 %
6 CVD risk factors summed into a total risk score (range 0-12) Blood pressure, total cholesterol, fasting blood glucose, BMI, Physical activity, Smoking*, & Diet HIGH INTER-MEDIATE IDEAL 60–69 yr. Total number Scores = 0-5 35.5% 6.5 % Scores = 6-9 62.1% 67.5 % Scores = 10-12 2.4% 26.0 % 239,591 CPRD UKbiobank 181,820 *Lloyd-Jones et al, Circulation, 2010

5 CVD - outcomes by risk score
High vs. Ideal - HR death and SHR for incidence of selected outcomes Follow-up <10 years Excluding prior conditions & adjusted for Age, Gender, IMD, year of study entry Death Coronary heart disease Stroke Heart failure Cancer Anaemia Depression Dementia

6 UKB - Ageing phenotypes
Poor vs. Ideal; vs. intermediate - for selected outcomes Outcomes measured a baseline & adjusted for age, gender and TDI Frailty (fried phenotype) Poor/fair self-perceived health Long-standing illness, disability Low FEV (lowest 20% sex specific) Chronic pain Poor cognitive function (FI lowest 20%) Low grip strength (lowest 20%) Urinary incontinence

7 CPRD – Frailty progression
Proportion of new cases of moderate/severe frailty –adapted Rockwood Frailty Index Follow-up of 9 years If all individuals had ideal combined risk score PAF CI (95%) 0.76 0.65 : 0.83 High Intermediate Ideal Survival analysis Ideal (sHR=0.15 CI ) and intermediate CRS (sHR=0.38 CI ) were associated with much lower incidence of frailty (figure 2).

8 Conclusions Controlling CVD risk factors including blood pressure and cholesterol level reduced mortality and CVD. In line with RCT evidence (SPRINT* and HOPE-3 ±) An optimal “combined” score of risk factors is strongly associated with healthy aging: Frailty – 79% reduction in incidence of severe frailty, Chronic pain – 40% lower prevalence etc Only 2.4% of 60 to 69 year olds have ideal CVD risks: dose response relationships – so even small changes in population risk profile could matter for ageing well Older people with optimal lifestyle health risks age better, especially in terms of frailty/pain/strength/cognition. - Frailty: 60% decreased odds in those with ideal vs poor health risks. (Largest effect seen - measure of lifestyle). For CPRD Frailty (RFI) 4,532 HR <0.001 HR <0.001 Chronic pain (new): 40% decreased odds in those with ideal vs poor health risks. Supports multiple protective factor model of ageing which influences disease and frailty/pain. * Williamson J. et al., JAMA, 2016; ± Yusuf S. et al., N Engl J Med, 2016

9 Conclusions We already have tools for radical improvement in human ageing… …without hypothesised cures for intrinsic biological ageing. *Low responses – healthy cohort. However, this is only likely to have underestimated effect sizes. Bigger effects seen in less healthy. Need longer term data. Also, why does the WHO report have so little on controlling CVD risks?

10 Thank you Epidemiology and Public Health, University of Exeter Medical School Janice Atkins João Delgado Kirsty Bowman David Melzer

11 Clinical practice research datalink NHS funded database
Practice + Patient Primary Care ≈ 2 million records Resources Hospital Episodes Diagnosis Procedures Symptoms Diagnoses Immunisations Lifestyle Factors Referrals Prescriptions Test Results Office of National Statistics Mortality

12 UK Biobank Baseline: 2006-2010 - 500,000 participants 40-69 years
- 22 assessment centres - 215,103 aged 60 to 69, Follow-up: - National Death registrations - Hospital Episode Statistics (HES) = incident diagnoses


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