Related Experiment Video
Updated: Feb 5, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Use of Long-term Cumulative Blood Pressure in Cardiovascular Risk Prediction Models
Lindsay R Pool1, Hongyan Ning1, John Wilkins1
1Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Insights
Long-term cumulative systolic blood pressure (SBP) improves atherosclerotic cardiovascular disease (ASCVD) risk prediction. Including cumulative SBP modestly enhances models for better individual risk classification.
Area of Science:
- Cardiovascular Medicine
- Epidemiology
- Biostatistics
Background:
- Long-term cumulative systolic blood pressure (SBP) is linked to atherosclerotic cardiovascular disease (ASCVD) risk.
- Current ASCVD risk prediction algorithms rely solely on single SBP measurements.
Purpose of the Study:
- To evaluate if incorporating 5- and 10-year cumulative SBP enhances ASCVD risk prediction compared to using current SBP alone.
- To determine the impact of cumulative SBP on the accuracy of cardiovascular risk assessment.
Main Methods:
- Utilized data from the Lifetime Risk Pooling Project, including Coronary Artery Risk Development in Young Adults, Atherosclerosis Risk in Communities, and Framingham Heart Study cohorts.
- Calculated 10-year ASCVD risk using 2013 ACC/AHA equations, comparing models with current SBP versus 5- and 10-year cumulative SBP.
- Assessed predictive ability using C statistic, net reclassification index (NRI), and integrated discrimination index (IDI).
Main Results:
- Included 11,767 participants (mean age 59.1 years; 58% women; 13% African American).
- No significant improvement in C statistic was observed with cumulative SBP.
- Significant improvements in NRI (men: 0.04, women: 0.03) and relative IDI (men: 0.12, women: 0.10) were found when cumulative SBP was added.
Conclusions:
- Long-term cumulative SBP measurements offer modest improvements in cardiovascular disease risk prediction models.
- Incorporating cumulative SBP enhances the classification accuracy of individuals' ASCVD risk.
- This approach refines risk stratification beyond single SBP measurements.
Importance:
Long-term cumulative systolic blood pressure (SBP) is significantly associated with increased rates of atherosclerotic cardiovascular disease (ASCVD) development independent of single SBP levels. However, published ASCVD risk prediction algorithms only include currently measured SBP.
Objective:
To determine whether including long-term (5- and 10-year) cumulative SBP in risk equations improves the predictive ability compared with single SBP measurements.
Design, Setting, And Participants:
Adults aged 45 to 65 years at the time of risk estimation with at least 20 years of follow-up (5 and 10 years prior to risk estimation and 10 years of event follow-up). The Lifetime Risk Pooling Project included data from the following cohorts: Coronary Artery Risk Development in Young Adults Study, Atherosclerosis Risk in Communities Study, and Framingham Heart Study (both the original and offspring).
Exposures:
Ten-year ASCVD risk, calculated using the approach of the 2013 American College of Cardiology/American Heart Association 10-year ASCVD risk equations, first with current SBP and then substituting 5- and 10-year cumulative SBP levels.
Main Outcomes And Measures:
Incident ASCVD events that occurred over 10 years of follow-up, compared with the predicted risks, using the C statistic, net reclassification index at event rate, and the integrated discrimination index.
Results:
This study included 11 767 participants with a mean (SD) age of 59.1 (4.7) years at risk estimation. A total of 6873 participants (58%) were women, and 1499 (13%) were African American. In the 10 years of follow-up from risk estimation, 1887 participants (16%) had an ASCVD event. There were no significant improvements in the C statistic when including 5- or 10-year cumulative SBP. However, the addition of cumulative SBP resulted in significant improvements in the net reclassification index at event rate (10-year net reclassification index for men, 0.04 [95% CI, 0.02-0.06]; 10-year net reclassification index for women, 0.03 [95% CI, 0.01-0.06]) and the relative integrated discrimination index (10-year relative integrated discrimination index for men, 0.12; 10-year relative integrated discrimination index for women, 0.10).
Conclusions And Relevance:
Using long-term measures of cumulative blood pressure, instead of single measurements, can modestly improve the ability of cardiovascular disease risk prediction models to correctly classify individuals in terms of their risk for cardiovascular disease.
Related Concept Videos
Blood Pressure
Blood Pressure
The average BP in an adult is typically around 120/80 mmHg (millimeters of mercury). In this measurement, the numerator (120) indicates the systolic pressure, which is the pressure in the arteries during the contraction of the heart's ventricles as blood is expelled. The denominator (80) represents the...
Measurement of Blood Pressure
Factors affecting Blood pressure
Physiological Factors:
Alterations in Blood Pressure
Hypertension (High blood pressure)
Hypertension occurs when blood pressure readings consistently exceed the normal range. It is diagnosed when systolic blood pressure (the top number, indicating pressure while the heart...
Cumulative Frequency Distribution

