The effect of blood pressure and cholesterol variability on the precision of Framingham cardiovascular risk estimation: a simulation study

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Abstract

This simulation study investigates the effects of within-individual variability in estimated cardiovascular risk on categorization of patients as high risk. Published estimates of within-individual blood pressure and cholesterol variability were used to generate blood pressure and cholesterol levels for hypothetical subjects at a range of ages. These were used to calculate the estimated cardiovascular risk of each individual. The relationship between an individual's mean cardiovascular risk and within-individual coefficient of variation for cardiovascular risk was determined. Using the derived relationship, mean cardiovascular risk and within-individual variation in risk was calculated for 5018 adults from a population health survey. From this, was determined their probability of being classified as high risk (420% 10-year cardiovascular risk) and the test characteristics of risk estimation at a range of ages. Within-individual variability in cardiovascular risk and potential for misclassification are both greater in lower-risk populations. At age 35-44 years, the positive predictive value of a diagnosis of high risk is 0.61 (95% confidence interval (CI): 0.59-0.64), and at age 65-74 years, it is 0.94 (95% CI: 0.91-0.96). About 39% of adults under 45 years diagnosed as high risk are not at high risk. Cardiovascular risk assessment should be targeted at high-risk populations. Journal of Human Hypertension (2010) 24, 631-638; doi:10.1038/jhh.2009.114; published online 7 January 2010

Details

Original languageEnglish
Pages (from-to)631-638
Number of pages8
JournalJournal of Human Hypertension
Volume24
Issue number10
Publication statusPublished - 1 Oct 2010

Keywords

  • primary care, screening, risk stratification, coronary heart disease, measurement error, diagnosis