Abstract 17065: Performance of Cardiovascular Disease Risk Scores to Identify Coronary Artery Calcium Burden in Retired National Football League Players

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Genevieve E Smith ◽  
Jonathan A Drezner ◽  
Camilo Fernandez ◽  
Gregory W Stewart
Keyword(s):  
Cardiovascular Disease ◽  
Coronary Artery ◽  
Coronary Artery Calcium ◽  
National Football League ◽  
Elite Athlete ◽  
Risk Scores ◽  
Cvd Risk ◽  
Discriminative Ability ◽  
C Statistic ◽  
Increased Risk

Introduction: Coronary artery calcium (CAC) is a robust predictor of coronary events in asymptomatic individuals with latent atherosclerotic cardiovascular disease (CVD). While evidence suggests CAC scoring may augment traditional CVD risk scores in clinical decision making, evidence is limited on the compared ability of CVD risk scores to identify the degree of coronary atherosclerosis as quantified by absolute CAC, particularly in former elite athlete populations. We investigated this in a cohort of retired National Football League (NFL) players. Methods: We analyzed data on 752 retired NFL players (aged 55.2 ± 9.0 years, 53.7% African-American] that underwent health screening and CAC scoring with the NFL Player Care Foundation. Three 10-year CVD risk scores were compared: Framingham Coronary Heart Disease (FCHD), Framingham CVD (FCVD), and Atherosclerotic CVD Risk Pooled Cohort Equations (PCE). Receiver operating characteristic curves were fitted in 3 models: FCHD (Model 1), FCVD (Model 2), and PCE (Model 3, used as reference based on 2013 AHA guidelines). Contrast analyses identified the model with highest discriminative ability (c statistic) versus CAC = 0 for each CAC score category: >0 and <100, 100-400, and >400. Results: Compared to PCE , FCVD exhibited the highest discriminative ability for CAC > 0 and < 100 ( c statistic 0.7071 vs 0.6706, p<0.0001), while FCHD had the lowest for both CAC 100-400 ( c statistic 0.7198 vs 0.7664, p=0.0165) and CAC >400 ( c statistic 0.7728 vs 0.8460, p<0.0001). No additional differences were identified (Figure 1). Conclusion: Traditional CVD risk scores differ in performance to predict absolute CAC among retired NFL players, underscoring a need for refinement of coronary event risk prediction models to enhance the ability of such models to identify, specifically, low CAC, as even low CAC burden confers increased risk compared to CAC absence. This may include accounting for elite athlete-specific characteristics.

Risk results from screening for a high cardiovascular disease risk by means of traditional risk factor measurement or coronary artery calcium scoring in the ROBINSCA trial

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C Van Der Aalst ◽  
S.J.A.M Denissen ◽  
M Vonder ◽  
J.-W.C Gratema ◽  
H.J Adriaansen ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Coronary Artery ◽  
High Risk ◽  
Risk Score ◽  
Coronary Artery Calcium ◽  
Preventive Treatment ◽  
Low Risk ◽  
Funding Source ◽  
Cvd Risk ◽  
Increased Risk

Abstract Aims Screening for a high cardiovascular disease (CVD) risk followed by preventive treatment can potentially reduce coronary heart disease (CHD)-related morbidity and mortality. ROBINSCA (Risk Or Benefit IN Screening for CArdiovascular disease) is a population-based randomized controlled screening trial that investigates the effectiveness of CVD screening in asymptomatic participants using the Systematic COronary Risk Evaluation (SCORE) model or Coronary Artery Calcium (CAC) scoring. This study describes the distributions in risk and treatment in the ROBINSCA trial. Methods and results Individuals at expected elevated CVD risk were randomized (1:1:1) into the control arm (n=14,519; usual care); screening arm A (n=14,478; SCORE, 10-year fatal and non-fatal risk); or screening arm B (n=14,450; CAC scoring). Preventive treatment was largely advised according to current Dutch guidelines. Risk and treatment differences between the screening arms were analysed. 12,185 participants (84.2%) in arm A and 12,950 (89.6%) in arm B were screened. 48.7% were women, and median age was 62 (InterQuartile Range 10) years. SCORE screening identified 45.1% at low risk (SCORE&lt;10%), 26.5% at intermediate risk (SCORE 10–20%), and 28.4% at high risk (SCORE≥20%). According to CAC screening, 76.0% were at low risk (Agatston&lt;100), 15.1% at high risk (Agatston 100–399), and 8.9% at very high risk (Agatston≥400). CAC scoring significantly reduced the number of individuals indicated for preventive treatment compared to SCORE (relative reduction women: 37.2%; men: 28.8%). Conclusion We showed that compared to risk stratification based on SCORE, CAC scoring classified significantly fewer men and women at increased risk, and less preventive treatment was indicated. ROBINSCA flowchart Funding Acknowledgement Type of funding source: Public grant(s) – EU funding. Main funding source(s): Advanced Research Grant

scholarly journals Screening for cardiovascular disease risk using traditional risk factor assessment or coronary artery calcium scoring: the ROBINSCA trial

2020 ◽  
Vol 21 (11) ◽  
pp. 1216-1224 ◽  
Author(s):  
Carlijn M van der Aalst ◽  
Sabine J A M Denissen ◽  
Marleen Vonder ◽  
Jan Willem C Gratama ◽  
Henk J Adriaansen ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Coronary Artery ◽  
High Risk ◽  
Risk Score ◽  
Coronary Artery Calcium ◽  
Preventive Treatment ◽  
Low Risk ◽  
Relative Reduction ◽  
Cvd Risk ◽  
Increased Risk

Abstract Aims Screening for a high cardiovascular disease (CVD) risk followed by preventive treatment can potentially reduce coronary heart disease-related morbidity and mortality. ROBINSCA (Risk Or Benefit IN Screening for CArdiovascular disease) is a population-based randomized controlled screening trial that investigates the effectiveness of CVD screening in asymptomatic participants using the Systematic COronary Risk Evaluation (SCORE) model or coronary artery calcium (CAC) scoring. This study describes the distributions in risk and treatment in the ROBINSCA trial. Methods and results Individuals at expected elevated CVD risk were randomized into screening arm A (n = 14 478; SCORE, 10-year fatal and non-fatal risk); or screening arm B (n = 14 450; CAC scoring). Preventive treatment was largely advised according to current Dutch guidelines. Risk and treatment differences between the screening arms were analysed. A total of 12 185 participants (84.2%) in arm A and 12 950 (89.6%) in arm B were screened. In total, 48.7% were women, and median age was 62 (interquartile range 10) years. SCORE screening identified 45.1% at low risk (SCORE &lt; 10%), 26.5% at intermediate risk (SCORE 10–20%), and 28.4% at high risk (SCORE ≥ 20%). According to CAC screening, 76.0% were at low risk (Agatston &lt; 100), 15.1% at high risk (Agatston 100–399), and 8.9% at very high risk (Agatston ≥ 400). CAC scoring significantly reduced the number of individuals indicated for preventive treatment compared to SCORE (relative reduction women: 37.2%; men: 28.8%). Conclusion We showed that compared to risk stratification based on SCORE, CAC scoring classified significantly fewer men and women at increased risk, and less preventive treatment was indicated. Trial registration number NTR6471.

scholarly journals Associations of recreational and non-recreational physical activity with coronary artery calcium density vs. volume and cardiovascular disease events: the Multi-Ethnic Study of Atherosclerosis

2019 ◽  
Author(s):  
Isac C Thomas ◽  
Michelle L Takemoto ◽  
Nketi I Forbang ◽  
Britta A Larsen ◽  
Erin D Michos ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cardiovascular Disease ◽  
Coronary Artery ◽  
Standard Deviation ◽  
Coronary Artery Calcium ◽  
Recreational Physical Activity ◽  
Cvd Risk ◽  
Ethnic Study ◽  
Subclinical Marker

Abstract Aims  The benefits of physical activity (PA) on cardiovascular disease (CVD) are well known. However, studies suggest PA is associated with coronary artery calcium (CAC), a subclinical marker of CVD. In this study, we evaluated the associations of self-reported recreational and non-recreational PA with CAC composition and incident CVD events. Prior studies suggest high CAC density may be protective for CVD events. Methods and results  We evaluated 3393 participants of the Multi-Ethnic Study of Atherosclerosis with prevalent CAC. After adjusting for demographics, the highest quintile of recreational PA was associated with 0.07 (95% confidence interval 0.01–0.13) units greater CAC density but was not associated with CAC volume. In contrast, the highest quintile of non-recreational PA was associated with 0.08 (0.02–0.14) units lower CAC density and a trend toward 0.13 (−0.01 to 0.27) log-units higher CAC volume. There were 520 CVD events over a 13.7-year median follow-up. Recreational PA was associated with lower CVD risk (hazard ratio 0.88, 0.79–0.98, per standard deviation), with an effect size that was not changed with adjustment for CAC composition or across levels of prevalent CAC. Conclusion  Recreational PA may be associated with a higher density but not a higher volume of CAC. Non-recreational PA may be associated with lower CAC density, suggesting these forms of PA may not have equivalent associations with this subclinical marker of CVD. While PA may affect the composition of CAC, the associations of PA with CVD risk appear to be independent of CAC.

scholarly journals Association of cardiovascular disease risk factors with coronary artery calcium volume versus density

Heart ◽  
2017 ◽  
Vol 104 (2) ◽  
pp. 135-143 ◽  
Author(s):  
Isac C Thomas ◽  
Brandon Shiau ◽  
Julie O Denenberg ◽  
Robyn L McClelland ◽  
Philip Greenland ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Coronary Artery ◽  
Coronary Artery Calcium ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Density Score ◽  
Volume Score

ObjectivesRecently, the density score of coronary artery calcium (CAC) has been shown to be associated with a lower risk of cardiovascular disease (CVD) events at any level of CAC volume. Whether risk factors for CAC volume and CAC density are similar or distinct is unknown. We sought to evaluate the associations of CVD risk factors with CAC volume and CAC density scores.MethodsBaseline measurements from 6814 participants free of clinical CVD were collected for the Multi-Ethnic Study of Atherosclerosis. Participants with detectable CAC (n=3398) were evaluated for this study. Multivariable linear regression models were used to evaluate independent associations of CVD risk factors with CAC volume and CAC density scores.ResultsWhereas most CVD risk factors were associated with higher CAC volume scores, many risk factors were associated with lower CAC density scores. For example, diabetes was associated with a higher natural logarithm (ln) transformed CAC volume score (standardised β=0.44 (95% CI 0.31 to 0.58) ln-units) but a lower CAC density score (β=−0.07 (−0.12 to −0.02) density units). Chinese, African-American and Hispanic race/ethnicity were each associated with lower ln CAC volume scores (β=−0.62 (−0.83to −0.41), −0.52 (−0.64 to −0.39) and −0.40 (−0.55 to −0.26) ln-units, respectively) and higher CAC density scores (β= 0.41 (0.34 to 0.47), 0.18 (0.12 to 0.23) and 0.21 (0.15 to 0.26) density units, respectively) relative to non-Hispanic White.ConclusionsIn a cohort free of clinical CVD, CVD risk factors are differentially associated with CAC volume and density scores, with many CVD risk factors inversely associated with the CAC density score after controlling for the CAC volume score. These findings suggest complex associations between CVD risk factors and these components of CAC.

Abstract P165: Associations of Coronary Artery Calcium Volume and Density With Incident Heart Failure in the Multi-Ethnic Study of Atherosclerosis

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Nketi I Forbang ◽  
Erin Michos ◽  
Sonia Ponce ◽  
Isac Thomas ◽  
Matthew Allison ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Coronary Artery ◽  
Coronary Artery Calcium ◽  
Low Frequency ◽  
P Value ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Increased Risk ◽  
Incident Heart Failure

Background: Coronary artery calcium (CAC) predicts incident heart failure (HF) independent of cardiovascular disease (CVD) risk factors. In MESA, Components of CAC, volume and density, have opposite associations with incident CVD, such that for a given volume of CAC, higher CAC density is inversely associated with events. The relationship between CAC volume and density with HF is unknown. Methods: We studied 6814 participants in a multi-ethnic, community-based cohort, free from clinical CVD at recruitment. CAC volume and density were measured by non-contrast cardiac CT at the baseline exam (2000-2002). Adjudicated HF events were assessed through 2014, and analysis limited to those with imaging confirmation and estimated ejection fraction (EF). Cox proportional hazard was used to estimate independent associations of baseline CAC volume and density with incident HF: HF with reduced (< 50%), and preserved EF (HFrEF & HFpEF respectively). Results: The mean age was 62 + 10 years, 47% were men, 38% identified as European-, 28% as African-, 22% as Hispanic-, and 12% as Chinese-ethnicity. Average time to 189 HF events (119 HFrEF & 70 HFpEF) was 6.6 years. In unadjusted models, higher CAC volume (HR 1.27 [1.02-1.59], p=0.03), but not CAC density (HR 0.87 [0.67-1.13], p=0.29) was significantly associated with incident HF, non-significant associations were observed with HFrEF, or HFpEF, and no significant associations were observed for all three outcomes after adjustments for demographics and CVD risk factors (Table). Also, in unadjusted analyses, stratified by sex (p-value for interaction = 0.13), higher CAC volume was associated with increased risk for HF (HR 1.37 [1.03-1.81], p=0.03) and HFpEF (HR 1.76 [0.99-3.16], p=0.06), in males only. No significant associations were observed after adjustments. Conclusion: In a multi-ethnic cohort, CAC volume and density were not independently associated with HF, the trend for volume was positive while density was inverse. Low frequency of incident HF in our cohort was an important limitation.

scholarly journals Ten‐Year Cardiovascular Disease Risk Trajectories by Obstetric History: A Longitudinal Study in the Norwegian HUNT Study

2022 ◽  
Author(s):  
Abigail Fraser ◽  
Amanda R. Markovitz ◽  
Eirin B. Haug ◽  
Julie Horn ◽  
Pål Richard Romundstad ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Disease ◽  
Pregnancy Complications ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Obstetric Complications ◽  
Risk Scores ◽  
Cvd Risk ◽  
Increased Risk ◽  
History Of

Background Women with a history of obstetric complications are at increased risk of cardiovascular disease, but whether they should be specifically targeted for cardiovascular disease (CVD) risk screening is unknown. Methods and Results We used linked data from the Norwegian HUNT (Trøndelag Health) Study and the Medical Birth Registry of Norway to create a population‐based, prospective cohort of parous women. Using an established CVD risk prediction model (A Norwegian risk model for cardiovascular disease), we predicted 10‐year risk of CVD (nonfatal myocardial infarction, fatal coronary heart disease, and nonfatal or fatal stroke) based on established risk factors (age, systolic blood pressure, total and high‐density lipoprotein cholesterol, smoking, antihypertensive use, and family history of myocardial infarction). Predicted 10‐year CVD risk scores in women aged between 40 and 60 years were consistently higher in those with a history of obstetric complications. For example, when aged 40 years, women with a history of preeclampsia had a 0.06 percentage point higher mean risk score than women with all normotensive deliveries, and when aged 60 years this difference was 0.86. However, the differences in the proportion of women crossing established clinical thresholds for counseling and treatment in women with and without a complication were modest. Conclusions Findings do not support targeting parous women with a history of pregnancy complications for CVD screening. However, pregnancy complications identify women who would benefit from primordial and primary prevention efforts such as encouraging and supporting behavioral changes to reduce CVD risk in later life.

Abstract 13418: Inter-relation of Parity and Coronary Artery Calcium With Cardiovascular Disease Events: The Multi-ethnic Study of Atherosclerosis

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Kimberly Vu ◽  
Khoa Nguyen ◽  
Jonathan Evans ◽  
WENJUN FAN ◽  
Morgana Mongraw-chaffin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Coronary Artery ◽  
Coronary Artery Calcium ◽  
Cox Regression ◽  
Subclinical Atherosclerosis ◽  
Cvd Risk ◽  
Ethnic Study ◽  
Live Births ◽  
A Prospective Study

Introduction: Coronary artery calcium (CAC) is a measure of subclinical atherosclerosis and predicts cardiovascular disease (CVD) events. Greater parity, or number of live births, has been shown to relate to CVD. We examined whether the relation of parity to CVD events may depend on the presence and extent of subclinical atherosclerosis measured by CAC. Methods: We studied 3151 women free of CVD at baseline in the Multi-Ethnic Study of Atherosclerosis, a prospective study of CVD. Participants were stratified by parity categories of 0-1 (reference), 2-3, and ≥4 and by baseline CAC categories of 0, 1-99, and 100+. We compared the incidence of CVD (myocardial infarction, stroke, resuscitated cardiac arrest, and coronary heart disease deaths) per 1000 years based on parity across levels of CAC over 13 years. Cox regression determined the joint association of parity and CAC on the incidence of CVD. Results: Women with greater parity had a higher prevalence of any CAC and CAC≥100 (p<0.01); among those with CAC, parity related to greater mean CAC scores (175, 184, and 284, respectively) (p<0.01). Women with greater parity also had greater incident CVD (7.1%, 8.7%, and 11.3% for 0-1, 2-3, and ≥4 live births, respectively, p-trend =0.01) and extent of CAC directly related to the incidence of CVD within parity groups. However, the association of parity with CAC was attenuated after adjustment for age, race, income, smoking and other risk factors. Parity also directly related to the incidence of CVD within CAC categories ( Figure ); however, from Cox regression analyses, these relations were attenuated when adjusted for age, ethnicity and other risk factors. Conclusion: In unadjusted analyses, we show parity to be associated with the prevalence of any or significant CAC, extent of CAC among those with CAC>0, as well as the incidence of CVD events, overall and according to the presence and extent of CAC. However, the association of parity with CVD risk was attenuated after adjustment for other factors.

scholarly journals Cardiovascular risk prediction in type 2 diabetes: a comparison of 22 risk scores in primary care settings

Diabetologia ◽  
2022 ◽  
Author(s):  
Katarzyna Dziopa ◽  
Folkert W. Asselbergs ◽  
Jasmine Gratton ◽  
Nishi Chaturvedi ◽  
Amand F. Schmidt
Keyword(s):  
Type 2 Diabetes ◽  
General Population ◽  
Risk Prediction ◽  
Risk Scores ◽  
P Value ◽  
Cvd Risk ◽  
Discriminative Ability ◽  
C Statistic ◽  
The Uk

Abstract Aims/hypothesis We aimed to compare the performance of risk prediction scores for CVD (i.e., coronary heart disease and stroke), and a broader definition of CVD including atrial fibrillation and heart failure (CVD+), in individuals with type 2 diabetes. Methods Scores were identified through a literature review and were included irrespective of the type of predicted cardiovascular outcome or the inclusion of individuals with type 2 diabetes. Performance was assessed in a contemporary, representative sample of 168,871 UK-based individuals with type 2 diabetes (age ≥18 years without pre-existing CVD+). Missing observations were addressed using multiple imputation. Results We evaluated 22 scores: 13 derived in the general population and nine in individuals with type 2 diabetes. The Systemic Coronary Risk Evaluation (SCORE) CVD rule derived in the general population performed best for both CVD (C statistic 0.67 [95% CI 0.67, 0.67]) and CVD+ (C statistic 0.69 [95% CI 0.69, 0.70]). The C statistic of the remaining scores ranged from 0.62 to 0.67 for CVD, and from 0.64 to 0.69 for CVD+. Calibration slopes (1 indicates perfect calibration) ranged from 0.38 (95% CI 0.37, 0.39) to 0.74 (95% CI 0.72, 0.76) for CVD, and from 0.41 (95% CI 0.40, 0.42) to 0.88 (95% CI 0.86, 0.90) for CVD+. A simple recalibration process considerably improved the performance of the scores, with calibration slopes now ranging between 0.96 and 1.04 for CVD. Scores with more predictors did not outperform scores with fewer predictors: for CVD+, QRISK3 (19 variables) had a C statistic of 0.68 (95% CI 0.68, 0.69), compared with SCORE CVD (six variables) which had a C statistic of 0.69 (95% CI 0.69, 0.70). Scores specific to individuals with diabetes did not discriminate better than scores derived in the general population: the UK Prospective Diabetes Study (UKPDS) scores performed significantly worse than SCORE CVD (p value <0.001). Conclusions/interpretation CVD risk prediction scores could not accurately identify individuals with type 2 diabetes who experienced a CVD event in the 10 years of follow-up. All 22 evaluated models had a comparable and modest discriminative ability. Graphical abstract

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