Figures & data
Figure 1. Flowchart for selecting the Multi-Ethnic Study of Atherosclerosis (MESA) participants for analysis.
![Figure 1. Flowchart for selecting the Multi-Ethnic Study of Atherosclerosis (MESA) participants for analysis.](/cms/asset/395640cc-7f5c-4363-af50-a9558c1af052/iann_a_2209334_f0001_b.jpg)
Table 1. Characteristics of included participants with high BP.
Table 2. Characteristics of 487 high-BP participants free of anti-hypertensive medication use.
Table 3. Multivariate logistic regression analysis of potential influencing factors for long-term CAC = 0 among high-BP participants (n = 830).
Table 4. Multivariate logistic regression analysis of potential influencing factors for long-term CAC = 0 among high-BP participants free of anti-hypertensive medication use (n = 487).
Figure 2. Percentage of participants with and without long-term coronary artery calcium (CAC) stratified by baseline risk factor profile. ASCVD: atherosclerotic cardiovascular disease.
![Figure 2. Percentage of participants with and without long-term coronary artery calcium (CAC) stratified by baseline risk factor profile. ASCVD: atherosclerotic cardiovascular disease.](/cms/asset/686fddc5-8e81-41ad-b3f2-1f32713c4f9e/iann_a_2209334_f0002_c.jpg)
Figure 3. Receiver-operating characteristic curve for evaluating the incremental effects of ASCVD risk factors, absence of carotid plaques beyond the baseline risk model. ASCVD: atherosclerotic cardiovascular disease; AUC: the area under the curve.
![Figure 3. Receiver-operating characteristic curve for evaluating the incremental effects of ASCVD risk factors, absence of carotid plaques beyond the baseline risk model. ASCVD: atherosclerotic cardiovascular disease; AUC: the area under the curve.](/cms/asset/9b3410bf-9e09-45ed-b366-b48d4577eee1/iann_a_2209334_f0003_c.jpg)
Table 5. Category-free NRI and IDI for the incremental values of different models for predicting long-term coronary artery calcium = 0.
Supplemental Material
Download MS Word (10.1 MB)Data availability statement
The datasets generated and/or analyzed during the current study are publicly available on the BioLINCC website (https://biolincc.nhlbi.nih.gov/home/).