framingham risk score calculator pdf to excel

Adding ECG abnormalities to the traditional CVD risk factors improved reclassification for those who did not experience events, discrimination (integrated discrimination improvement: 0.7% (95% CI: 0.1%, 1.9%), and calibration (goodness of fit P value from 0.600 to 0.873) in participants with a 10-year ASCVD risk ≥10%.

ECG abnormalities were associated with an increased risk of CVD after adjustment for the traditional risk factors in participants with a 10-year atherosclerotic CVD (ASCVD) risk ≥10% (hazard ratio, HR: 1.45 95% confidence interval, CI: 1.11, 1.91). During follow-up, 464 participants developed CVD events. Results: At baseline, 2,470 participants (31.3%) had ECG abnormalities. Cox proportional hazards models were used and models of traditional risk factors with and without ECG were compared. CVD events including myocardial infarction, stroke and cardiovascular mortality were collected. A 12-lead resting ECG was examined for participants at baseline.

Methods: A total of 7,872 community residents aged ≥40 years were followed up for a median of 4.5 years. Aims: To examine whether electrocardiography (ECG) could provide additional values to the traditional risk factors for cardiovascular disease (CVD) risk prediction among different cardiovascular risk subgroups.

Framingham risk score calculator pdf to excel