“…The demographic-epidemiological sub-model predicts coronary heart disease (CHD) and stroke incidence and non-CVD mortality in the population without CVD stratified by age, sex, and six modifiable risk factors: smoking status (active smoker or secondhand smokeexposed or no exposure), systolic blood pressure (SBP), highdensity lipoprotein cholesterol (HDL-C), LDL-C, use of medication to lower cholesterol (statins, other drugs, or no use), and presence or absence of diabetes mellitus. The incidence of CHD, stroke, and non-CVD death is determined by beta coefficients estimated from Framingham Heart Study Original Cohort (exams [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28] and Offspring Cohort (exams 1-7) data using the counting process extension of the Cox proportional hazards model, which allows for time-dependent covariates. [16][17][18][19][20] For the fraction of the population developing CVD, the bridge sub-model characterizes the initial CVD event and related events over the next 30 days.…”