Prediction of cardiovascular events in subjects in the second Australian National Blood Pressure study

Mark R Nelson1, Philip Ryan, Andrew M Tonkin

  • 1Menzies Research Institute, Hobart, Tasmania, Australia. Mark.Nelson@utas.edu.au

Insights

Current cardiovascular disease (CVD) risk calculators are not suitable for older adults. New risk equations are needed for the hypertensive aged to accurately predict CVD events in this population.

Area of Science:

  • Cardiology
  • Geriatric Medicine
  • Epidemiology

Background:

  • Estimating absolute cardiovascular disease (CVD) risk is superior to blood pressure measurement alone for guiding medical intervention.
  • Existing CVD risk calculators, like the Framingham Heart Study model, lack representation of individuals over 74 years old, despite age being a key risk determinant.
  • This age-related limitation necessitates evaluation of current risk prediction models in older populations.

Purpose of the Study:

  • To assess the predictive accuracy of three established risk equations for CVD endpoints in an older cohort.
  • To determine the suitability of existing CVD risk calculators for individuals aged 74 and above.

Main Methods:

  • Utilized the Second Australian National Blood Pressure study cohort (mean age 71.9 years).
  • Evaluated three risk equations (Framingham, Pocock, Dubbo) using 5-year CVD incidence rates, chi(2) goodness-of-fit, and Harrell C statistics.
  • Performed recalibration analysis to assess equation applicability to the study population.

Main Results:

  • All tested risk equations showed significant chi(2) goodness-of-fit statistics for various CVD endpoints across different age groups and sexes.
  • Discrimination for predicting coronary heart disease, stroke, and overall CVD morbidity/mortality was modest across all algorithms.
  • Recalibration analyses indicated that applying these existing risk equations to the Second Australian National Blood Pressure study population is inappropriate.

Conclusions:

  • Current CVD risk prediction equations demonstrate limitations in accurately assessing risk in older adults.
  • There is a critical need for the development of novel CVD risk equations specifically for the hypertensive elderly population.
  • Future research should focus on creating tailored risk assessment tools for this demographic to improve clinical decision-making and patient outcomes.

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