Aims: Averaged measurements, but not the progression based on multiple assessments of carotid intima-media thickness,
(cIMT) are predictive of cardiovascular disease (CVD) events in individuals. Whether this is true for conventional
risk factors is unclear.
Methods and results: An individual participant meta-analysis was used to associate the annualised progression of
systolic blood pressure, total cholesterol, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol
with future cardiovascular disease risk in 13 prospective cohort studies of the PROG-IMT collaboration (n¼34,072).
Follow-up data included information on a combined cardiovascular disease endpoint of myocardial infarction, stroke, or
vascular death. In secondary analyses, annualised progression was replaced with average. Log hazard ratios per standard
deviation difference were pooled across studies by a random effects meta-analysis. In primary analysis, the annualised
progression of total cholesterol was marginally related to a higher cardiovascular disease risk (hazard ratio (HR) 1.04,
95% confidence interval (CI) 1.00 to 1.07). The annualised progression of systolic blood pressure, low-density lipoprotein
cholesterol and high-density lipoprotein cholesterol was not associated with future cardiovascular disease risk. In secondary
analysis, average systolic blood pressure (HR 1.20 95% CI 1.11 to 1.29) and low-density lipoprotein cholesterol
(HR 1.09, 95% CI 1.02 to 1.16) were related to a greater, while high-density lipoprotein cholesterol (HR 0.92, 95% CI
0.88 to 0.97) was related to a lower risk of future cardiovascular disease events.
Conclusion: Averaged measurements of systolic blood pressure, low-density lipoprotein cholesterol and high-density
lipoprotein cholesterol displayed significant linear relationships with the risk of future cardiovascular disease events.
However, there was no clear association between the annualised progression of these conventional risk factors in
individuals with the risk of future clinical endpoints.
