Coronary Artery Calcium Score Categories Research Articles

Quantification accuracy in photon-countingdetector CT for coronary artery calcium score: a pilot study.

To validate the accuracy of coronary artery calcium score (CACS) using photon-counting detector (PCD) CT under various scanning settings and explore the optimized scanning settings considering both the accuracy and the radiation dose. A CACS phantom containing six hollow cylindrical hydroxyapatite calcifications of two sizes with three densities and 12 patients underwent CACS scans. For PCD-CT, two scanning modes (sequence and flash [high-pitch spiral mode]) and five tube voltages (90kV, 120kV, 140kV, Sn100kV, and Sn140kV) at different image quality (IQ) levels were set for phantom, and patients were scanned with 120kV at IQ19 using flash mode. All acquisitions from PCD-CT were reconstructed at 70keV. Acquisitions in sequence mode at 120kV on an energy-integrating detector CT (EID-CT) was used as thereference. Agatston, mass, and volume scores were calculated. The CACS from PCD-CT exhibited excellent agreements with the reference (all intraclass correlation coefficient [ICC] > 0.99). The root mean square error (RMSE) between the Agatston score acquired from PCD-CT and the reference (5.4-11.5) was small. A radiation dose reduction (16-75%) from PCD-CT compared with the reference was obtained in all protocols using flash mode, albeit with IQ20 only at sequence mode (22-44%). For the patients, ICC ( all ICC > 0.98) and Bland-Altman analysis of CACS all showed high agreements between PCD-CT and the reference, without reclassifying CACS categories(P = 0.317). PCD-CT yields repeatable and accurate CACS across diverse scanning protocols according to our pilot study. Sn100kV, 90kV, and 120kV using flash mode at IQ20 are recommended for clinical applications considering both accuracy and radiation dose.

The association of carotid plaque burden and composition and the coronary artery calcium score in intermediate cardiovascular risk patients.

Both the carotid ultrasound and coronary artery calcium (CAC) score quantify subclinical atherosclerosis and are associated with cardiovascular disease and events. This study investigated the association between CAC score and carotid plaque quantity and composition. Adult participants (n = 43) without history of cardiovascular disease were recruited to undergo a carotid ultrasound. Maximum plaque height (MPH), total plaque area (TPA), carotid intima-media thickness (CIMT), and plaque score were measured. Grayscale pixel distribution analysis of ultrasound images determined plaque tissue composition. Participants then underwent CT to determine CAC score, which were also categorized as absent (0), mild (1-99), moderate (100-399), and severe (400+). Spearman correlation coefficients between carotid variables and CAC scores were computed. The mean age of participants was 63 ± 11 years. CIMT, TPA, MPH, and plaque score were significantly associated with CAC score (ρ = 0.60, p < 0.0001; ρ = 0.54, p = 0.0002; ρ = 0.38, p = 0.01; and ρ = 0.49, p = 0.001). Echogenic composition features %Calcium and %Fibrous tissue were not correlated to a clinically relevant extent. There was a significant difference in the TPA, MPH, and plaque scores of those with a severe CAC score category compared to lesser categories. While carotid plaque burden was associated with CAC score, plaque composition was not. Though CAC score reliably measures calcification, carotid ultrasound gives information on both plaque burden and composition. Carotid ultrasound with assessment of plaque features used in conjunction with traditional risk factors may be an alternative or additive to CAC scoring and could improve the prediction of cardiovascular events in the intermediate risk population.

Prognostic Value of Coronary Artery Calcium in the Intermediate-Risk Population of Developing Coronary Artery Disease

Background: The present study was designed to estimate the coronary artery calcium score (CACS) and its association with the incidence of major adverse cardiovascular events (MACE) in asymptomatic patients who are at risk of coronary artery disease (CAD). Objective: To estimate the CACS and its association with the incidence of MACE in asymptomatic patients. Methods: In this prospective cross-sectional observational study, 108 consecutive patients were enrolled. Demographic details and clinical data including lipid profile, systolic blood pressure, electrocardiography, 2D echocardiography, and routine blood investigations were reported. CACS was derived from computed tomography using a 256-slice scanner with a rotation time of 270 milliseconds. MACE was recorded at a one-year follow-up. Results: The mean age was 54.55 ± 7.7 years with male predominance (62%). CACS categories 0, 1-99, 10-399, 400-999, and more than 1000 constituted 43.5%, 28.7%, 18.52%, 8.33%, and 0.93% respectively. The correlation between the groups of positive and negative CACS and the presence or absence of standard risk factors was found to be statistically significant in diabetes mellitus (P=&lt;0.001), hypertension (P=&lt;0.001), and history of CAD in the family (P = 0.036). Although the association between smokers and calcium was statistically insignificant, it had clinical significance (P= 0.294). Out of 108 patients, MACE was observed in 16 (14.81%) patients with positive CACS at the 1-year follow-up. Conclusion:CACS measurement is often regarded as the primary non-invasive approach for risk stratification, MACE estimation, and promptly identifying high-risk asymptomatic individuals. Keywords: Coronary Artery Calcium Score; Cardiovascular Events; Coronary Calcification; Risk Stratificationa

Coronary Artery Calcium Score as a Sensitive Indicator of Cardiovascular Disease in Patients with Type 2 Diabetes Mellitus: A Long-Term Cohort Study.

Coronary artery calcium score (CACS) has become an important tool for evaluating cardiovascular disease (CVD). This study evaluated the significance of CACS for future CVD through more than 10 years of follow-up in asymptomatic Korean populations with type 2 diabetes mellitus (T2DM) known to have a relatively low CACS burden. We enrolled 981 asymptomatic T2DM patients without CVD at baseline who underwent CACS evaluation using multidetector computed tomography between January 2008 and December 2014. They were grouped into five predefined CACS categories based on Agatston scores and followed up by August 2020. The primary endpoint was incident CVD events, including coronary, cerebrovascular, and peripheral arterial disease. The relative risk of CVD was significantly higher in patients with CACS ≥10, and the significance persisted after adjustment for known confounders. A higher CACS category indicated a higher incidence of future CVD: hazard ratio (95% confidence interval) 4.09 (1.79 to 9.36), 12.00 (5.61 to 25.69), and 38.79 (16.43 to 91.59) for 10≤ CACS <100, 100≤ CACS <400, and CACS ≥400, respectively. During the 12-year follow-up period, the difference in event-free survival more than doubled as the category increased. Patients with CACS below 10 had very low CVD incidence throughout the follow-up. The receiver operating characteristic analysis showed better area under curve when the CACS cutoff was 10 than 100. CACS can be a sensitive marker of CVD risk. Specifically, CACS above 10 is an indicator of CVD high-risk requiring more intensive medical treatment in Koreans with T2DM.

The incremental value of coronary artery calcium score in predicting long-term prognosis and defining the warranty period of normal adenosine stress-only myocardial perfusion imaging using CZT SPECT.

Normal stress-only (SO) myocardial perfusion imaging (MPI) using SPECT reduces imaging time and radiation dose with a good prognosis. However, the long-term prognostic value of combining coronary artery calcium score (CACS) with SO MPI to determine the warranty period remains unknown. Hence, we assessed the incremental prognostic value of CACS and its impact on the warranty period of normal SO MPI using SPECT. We retrospectively included 1375 symptomatic patients without a history of coronary artery disease (CAD) and a normal SO MPI using adenosine who underwent simultaneous CAC scoring. Annual major adverse cardiac events (MACE) rates were calculated for CACS categories: 0, 1-399, 400-999, and ≥1000. The mean age was 60.0 ± 11.8 years (66.9% female) with a median follow-up of 10.3 [IQR 9.6-10.9] years. The warranty period for annual MACE rate for normal SO SPECT extended the total follow-up time in years. MACE rate categorized by CAC categories demonstrated an increase in MACE rates with increasing CACS; CACS 0 and CACS 1-399 were associated with a 10-year warranty period, CACS 400-999 had a warranty period of 4 years and no warranty period could be given for CACS≥1000 (5.9 % at 1 year). CACS as an adjunct to normal pharmacological SO MPI provides additional prognostic information and aids in determining a warranty period.

Long-term statin therapy is associated with severe coronary artery calcification.

Atherosclerosis and consequent risk of cardiovascular events or mortality can be accurately assessed by quantifying coronary artery calcium score (CACS) derived from computed tomography. HMG-CoA-reductase inhibitors (statins) are the primary pharmacotherapy used to reduce cardiovascular events, yet there is growing data that support statin use may increase coronary calcification. We set out to determine the likelihood of severe CACS in the context of chronic statin therapy. We established a retrospective, case-control study of 1,181 U.S. veterans without coronary artery disease (CAD) from a single site, the Providence VA Medical Center. Duration of statin therapy for primary prevention was divided into 5-year categorical increments. The primary outcome was CACS derived from low-dose lung cancer screening computed tomography (LCSCT), stratified by CACs severity (none = 0; mild = 1-99; moderate = 100-399; and severe ≥400 AU). Statin duration of zero served as the referent control. Ordinal logistic regression analysis determined the association between duration of statin use and CACS categories. Proportional odds assumption was tested using likelihood ratio test. Atherosclerotic cardiovascular disease (ASCVD) risk score, body mass index, and CKD (glomerular filtration rate of <60 ml/min/1.73 m2) were included in the adjustment models. The mean age of the study population was 64.7±7.2 years, and 706 (60%) patients were prescribed a statin at baseline. Duration of statin therapy was associated with greater odds of having increased CACS (>0-5 years, OR: 1.71 [CI: 1.34-2.18], p<0.001; >5-10 years, OR: 2.80 [CI: 2.01-3.90], p<0.001; >10 years, OR: 5.30 [CI: 3.23-8.70], p<0.001), and the relationship between statin duration and CACS remained significant after multivariate adjustment (>0-5 years, OR: 1.49 [CI: 1.16-1.92], p = 0.002; >5-10 years, OR: 2.38 [CI: 1.7-3.35], p<0.001; >10 years, OR: 4.48 [CI: 2.7-7.43], p<0.001). Long-term use of statins is associated with increased likelihood of severe CACS in patients with significant smoking history. The use of CACS to interpret cardiovascular event risk may require adjustment in the context of chronic statin therapy.

The correlation between coronary artery, aortic, and mitral valve calcification in patients with coronary atherosclerosis

BackgroundAtherosclerosis is the underlying process causing coronary artery calcification. Pathophysiology of aortic and mitral valve calcification has several similarities with coronary atherosclerosis, but their correlation has not been clear, especially in patients with coronary atherosclerosis.PurposeThis study aims to investigate the correlation between the calcium score of the coronary arteries, aortic, and mitral valves in patients with coronary atherosclerosis.MethodsThis was a cross-sectional, correlation study. Stratified randomization was done based on the coronary artery calcium score category. The calcium score was calculated using Agatston technique. Statistical tests were done to look for the correlations between the coronary artery and aortic valve calcium score, coronary artery and mitral valve calcium score, as well as coronary artery and aortic + mitral valve calcium score.ResultsThere are ninety-seven subjects (coronary calcium score “mild” 34 subjects, “moderate” 30 subjects, “severe” 33 subjects) with a mean age of 63.85 (± 9.80) years old. The median coronary artery calcium score was 158.7 (Agatston Unit (AU; 1–3917.7), aortic valve 12.6 AU (0–3747), and mitral valve 0.1 AU (0–1247.5 AU). There was a very weak correlation between coronary artery calcium score with aortic, mitral, and aortic + mitral valve calcium score.ConclusionsThere was no statistically significant correlation between the calcium score of the coronary artery and the calcium score of the aortic valve, as well as the calcium score of the mitral valve in patients with coronary atherosclerosis. However, the secondary analysis showed a correlation between them varied depending on the severity of coronary artery calcification, which could shed light on a better understanding of the atherosclerotic process in the coronary artery, aortic, and mitral valve.

Sex differences in the association between minor nonspecific ST-segment and T-wave abnormalities and coronary artery calcification

Background and aimsAlthough minor nonspecific ST-segment and T-wave abnormalities (NSSTTA) have been associated with adverse cardiovascular outcomes, their relationship with subclinical atherosclerosis remains controversial. Therefore, the associations between electrocardiographic (ECG) abnormalities, including NSSTTA, and coronary artery calcification (CAC) were investigated in this study. MethodsThis cross-sectional study included 136,461 Korean participants with no known cardiovascular disease or cancer, who underwent a health checkup including ECG and computed tomography to measure the coronary artery calcium score (CACS) by Agatston method between 2010 and 2018. ECG abnormalities were defined in accordance with the Minnesota Code using an automated ECG analysis program. A multinomial logistic regression model was used to calculate prevalence ratios (PRs) with 95% confidence intervals (CI) for each CACS category. ResultsIn men, both NSSTTA and major ECG abnormalities were associated with all levels of CACS. The multivariable-adjusted PRs (95% CI) for CACS >400 comparing NSSTTA and major ECG abnormalities to the reference (neither NSSTTA nor major ECG abnormalities) were 1.88 (1.29–2.74) and 1.50 (1.18–1.91), respectively. Women with major ECG abnormalities were more likely to have a CACS of 101–400, the PRs (95% CI) comparing major ECG abnormalities to the reference group was 1.75 (1.18–2.57). NSSTTA were not associated with any CACS level in women. ConclusionsNSSTTA and major ECG abnormalities are associated with CAC in men, though NSSTTA were not associated with CAC in women, suggesting that NSSTTA should be considered sex-specific risk factors for coronary artery disease in men, but not in women.

The Association Between Blood Lead Levels and Coronary Artery Calcium Score Determined by Using Coronary Computed Tomography Angiography.

Lead exposure is a known risk factor for cardiovascular disease (CVD), and coronary artery calcification (CAC) is a biomarker for diagnosing atherosclerotic CVD. This study investigated the association between blood lead level (BLL) and CAC using coronary computed tomography (CT) angiography. This study enrolled 2,189 participants from the general population with no history or symptoms of CVD. All participants underwent coronary CT angiography, health examination, and BLL testing. The association between coronary artery calcium score (CACS) and BLL was analyzed. The arithmetic mean of BLL was 2.71 ± 1.26 μg/dL, and the geometric mean was 2.42 (1.64) μg/dL, ranging from 0.12 to 10.14 μg/dL. There was a statistically significant positive correlation between CACS and BLL (r = 0.073, P < 0.001). Mean BLLs among predefined CACS categories were as follows: absent grade (CACS = 0), 2.67 ± 1.23 μg/dL; minimal grade (> 0, < 10), 2.81 ± 1.25 μg/dL; mild grade (≥ 10, < 100), 2.74 ± 1.29 μg/dL; moderate grade (≥ 100, < 400), 2.88 ± 1.38 μg/dL; severe grade (≥ 400): 3.22 ± 1.68 μg/dL. The odds ratio for severe CAC was 1.242 in association with an 1 μg/dL increase in BLL (P = 0.042). Using coronary CT angiography, we determined a positive correlation between BLL and CAC among participants without CVD from the general population. To reduce the burden of CVD, efforts and policies should be geared toward minimizing environmental lead exposure.

Correlation between coronary artery calcium score and aorta diameter in population with long-standing hypertension using noncontrast CT scan

Background: Early detection of aortic aneurysms is challenging in hypertensive patients due to the high risk of life-threatening ruptures. Limited studies on the relationship between coronary artery calcium and aortic diameter are present. This study evaluated the correlation between coronary artery calcium score (CACS) and maximal thoracic and abdominal aortic diameters in hypertensive patients, using a noncontrast CT scan. Material and methods: We prospectively enrolled 180 hypertensive patients older than 45 who had no aortic aneurysm or heart disease. We split the study population into five classes according to CACS (0, 1–10, 10–100, 100–400, and &gt; 400). We calculated coronary artery calcium and maximal diameters of the ascending thoracic aorta (ATAMAX), descending thoracic aorta (DTAMAX), and abdominal aorta (AAMAX) using native computed tomography imaging. Results: Coronary artery calcium score was high in patients with high abdominal aorta diameter but not with the high diameters of the thoracic aorta. The cut-off point of the abdominal aorta’s maximum diameter was 34 mm, so AAMAX &gt; 34 mm is predictive of a diagnosis of CACS category five (CACS &gt; 400). There were no differences in ascending and descending thoracic aorta measurements between patients with a coronary artery calcium score of more than 400 (category 5) and the rest. Conclusion: Screening for an abdominal aortic aneurysm is essential in hypertensive patients as the coronary artery calcium score is associated significantly with increased abdominal aorta diameter. However, the necessity for thoracic aortic aneurysm screening is not apparent in these patients as no significant association is found between CACS and thoracic aorta diameter.

Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events

BackgroundAssessment of coronary artery calcium (CAC) by computed tomographic (CT) imaging provides an accurate measure of atherosclerotic burden. CAC is also visible in computed tomographic attenuation correction (CTAC) scans, always acquired with cardiac positron emission tomographic (PET) imaging. ObjectivesThe aim of this study was to develop a deep-learning (DL) model capable of fully automated CAC definition from PET CTAC scans. MethodsThe novel DL model, originally developed for video applications, was adapted to rapidly quantify CAC. The model was trained using 9,543 expert-annotated CT scans and was tested in 4,331 patients from an external cohort undergoing PET/CT imaging with major adverse cardiac events (MACEs) (follow-up 4.3 years), including same-day paired electrocardiographically gated CAC scans available in 2,737 patients. MACE risk stratification in 4 CAC score categories (0, 1-100, 101-400, and >400) was analyzed and CAC scores derived from electrocardiographically gated CT scans (standard scores) by expert observers were compared with automatic DL scores from CTAC scans. ResultsAutomatic DL scoring required <6 seconds per scan. DL CTAC scores provided stepwise increase in the risk for MACE across the CAC score categories (HR up to 3.2; P < 0.001). Net reclassification improvement of standard CAC scores over DL CTAC scores was nonsignificant (−0.02; 95% CI: −0.11 to 0.07). The negative predictive values for MACE of zero CAC with standard (85%) and DL CTAC (83%) CAC scores were similar (P = 0.19). ConclusionsDL CTAC scores predict cardiovascular risk similarly to standard CAC scores quantified manually by experienced operators from dedicated electrocardiographically gated CAC scans and can be obtained almost instantly, with no changes to PET/CT scanning protocol.

Age-stratified effects of coronary artery calcification on cardiovascular and non-cardiovascular mortality in Korean adults.

The role of coronary artery calcium score (CACS) in predicting cardiovascular disease (CVD) and non-CVD mortality in young adults is unclear. We investigated the association of CACS with CVD and non-CVD mortality in young and older individuals. CVD-free Koreans (n = 160 821; mean age, 41.4 years; 73.2% young individuals aged <45 years) who underwent cardiac tomography estimation of CACS (69.7% one-time measurement), were followed-up for a median of 5.6 years. The vital status and cause of death were ascertained from the national death records. Sub-distribution hazard ratios (SHR) and 95% confidence intervals (CIs) for cause-specific mortality were estimated using the Fine and Gray proportional hazards models. Overall, a higher CACS was strongly associated with an increased risk of CVD mortality. Among young individuals, multivariable-adjusted SHR (95% CIs) for CVD mortality comparing a CACS of 1-100, 101-300, and >300 to 0 CACS were 5.67 (2.33-13.78), 22.34 (5.72-87.19), and 74.1 (18.98-239.3), respectively, and among older individuals, corresponding SHR were 1.51 (0.60-3.84), 8.57 (3.05-24.06), and 6.41 (1.98-20.74). The addition of CACS to Framingham risk score significantly but modestly improved risk prediction for CVD mortality in young individuals. Conversely, CACS was significantly associated with non-CVD mortality only in older individuals. Strong associations of CACS with CVD mortality, but not non-CVD mortality, were observed in young individuals, beginning in the low CACS category. Our findings reaffirm the need for early intervention for young adults even with low CACS to reduce CVD mortality.

Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks.

We aimed to develop a novel deep-learning based method for automatic coronary artery calcium (CAC) quantification in low-dose ungated computed tomography attenuation correction maps (CTAC). In this study, we used convolutional long-short -term memory deep neural network (conv-LSTM) to automatically derive coronary artery calcium score (CAC) from both standard CAC scans and low-dose ungated scans (CT-attenuation correction maps). We trained convLSTM to segment CAC using 9543 scans. A U-Net model was trained as a reference method. Both models were validated in the OrCaCs dataset (n=32) and in the held-out cohort (n=507) without prior coronary interventions who had CTAC standard CAC scan acquired contemporarily. Cohen's kappa coefficients and concordance matrices were used to assess agreement in four CAC score categories (very low: <10, low:10-100; moderate:101-400 and high >400). The median time to derive results on a central processing unit (CPU) was significantly shorter for the conv-LSTM model- 6.18s (inter quartile range [IQR]: 5.99, 6.3) than for UNet (10.1s, IQR: 9.82, 15.9s, p<0.0001). The memory consumption during training was much lower for our model (13.11Gb) in comparison with UNet (22.31 Gb). Conv-LSTM performed comparably to UNet in terms of agreement with expert annotations, but with significantly shorter inference times and lower memory consumption.

Coronary Computed Tomography Angiography-Based Calcium Scoring: In Vitro and In Vivo Validation of a Novel Virtual Noniodine Reconstruction Algorithm on a Clinical, First-Generation Dual-Source Photon Counting-Detector System.

The aim of this study was to evaluate coronary computed tomography angiography (CCTA)-based in vitro and in vivo coronary artery calcium scoring (CACS) using a novel virtual noniodine reconstruction (PureCalcium) on a clinical first-generation photon-counting detector-computed tomography system compared with virtual noncontrast (VNC) reconstructions and true noncontrast (TNC) acquisitions. Although CACS and CCTA are well-established techniques for the assessment of coronary artery disease, they are complementary acquisitions, translating into increased scan time and patient radiation dose. Hence, accurate CACS derived from a single CCTA acquisition would be highly desirable. In this study, CACS based on PureCalcium, VNC, and TNC, reconstructions was evaluated in a CACS phantom and in 67 patients (70 [59/80] years, 58.2% male) undergoing CCTA on a first-generation photon counting detector-computed tomography system. Coronary artery calcium scores were quantified for the 3 reconstructions and compared using Wilcoxon test. Agreement was evaluated by Pearson and Spearman correlation and Bland-Altman analysis. Classification of coronary artery calcium score categories (0, 1-10, 11-100, 101-400, and >400) was compared using Cohen κ . Phantom studies demonstrated strong agreement between CACS PureCalcium and CACS TNC (60.7 ± 90.6 vs 67.3 ± 88.3, P = 0.01, r = 0.98, intraclass correlation [ICC] = 0.98; mean bias, 6.6; limits of agreement [LoA], -39.8/26.6), whereas CACS VNC showed a significant underestimation (42.4 ± 75.3 vs 67.3 ± 88.3, P < 0.001, r = 0.94, ICC = 0.89; mean bias, 24.9; LoA, -87.1/37.2). In vivo comparison confirmed a high correlation but revealed an underestimation of CACS PureCalcium (169.3 [0.7/969.4] vs 232.2 [26.5/1112.2], P < 0.001, r = 0.97, ICC = 0.98; mean bias, -113.5; LoA, -470.2/243.2). In comparison, CACS VNC showed a similarly high correlation, but a substantially larger underestimation (24.3 [0/272.3] vs 232.2 [26.5/1112.2], P < 0.001, r = 0.97, ICC = 0.54; mean bias, -551.6; LoA, -2037.5/934.4). CACS PureCalcium showed superior agreement of CACS classification ( κ = 0.88) than CACS VNC ( κ = 0.60). The accuracy of CACS quantification and classification based on PureCalcium reconstructions of CCTA outperforms CACS derived from VNC reconstructions.

Independent Association of Lipoprotein(a) and Coronary Artery Calcification With Atherosclerotic Cardiovascular Risk

BackgroundElevated lipoprotein(a) [Lp(a)] and coronary artery calcium (CAC) score are individually associated with increased atherosclerotic cardiovascular disease (ASCVD) risk but have not been studied in combination. ObjectivesThis study sought to investigate the independent and joint association of Lp(a) and CAC with ASCVD risk. MethodsPlasma Lp(a) and CAC were measured at enrollment among asymptomatic participants of the MESA (Multi-Ethnic Study of Atherosclerosis) (n = 4,512) and DHS (Dallas Heart Study) (n = 2,078) cohorts. Elevated Lp(a) was defined as the highest race-specific quintile, and 3 CAC score categories were studied (0, 1-99, and ≥100). Associations of Lp(a) and CAC with ASCVD risk were evaluated using risk factor–adjusted Cox regression models. ResultsAmong MESA participants (61.9 years of age, 52.5% women, 36.8% White, 29.3% Black, 22.2% Hispanic, and 11.7% Chinese), 476 incident ASCVD events were observed during 13.2 years of follow-up. Elevated Lp(a) and CAC score (1-99 and ≥100) were independently associated with ASCVD risk (HR: 1.29; 95% CI: 1.04-1.61; HR: 1.68; 95% CI: 1.30-2.16; and HR: 2.66; 95% CI: 2.07-3.43, respectively), and Lp(a)-by-CAC interaction was not noted. Compared with participants with nonelevated Lp(a) and CAC = 0, those with elevated Lp(a) and CAC ≥100 were at the highest risk (HR: 4.71; 95% CI: 3.01-7.40), and those with elevated Lp(a) and CAC = 0 were at a similar risk (HR: 1.31; 95% CI: 0.73-2.35). Similar findings were observed when guideline-recommended Lp(a) and CAC thresholds were considered, and findings were replicated in the DHS. ConclusionsLp(a) and CAC are independently associated with ASCVD risk and may be useful concurrently for guiding primary prevention therapy decisions.

Lifetime Cardiovascular Disease Risk by Coronary Artery Calcium Score in Individuals With and Without Diabetes: An Analysis From the Multi-Ethnic Study of Atherosclerosis.

To assess lifetime cardiovascular disease (CVD) risk by coronary artery calcium (CAC) score in individuals with diabetes from the Multi-Ethnic Study of Atherosclerosis (MESA) and compare risk with that in individuals without diabetes. We developed a microsimulation model with well, diabetes, post-CVD, and death health states using multivariable time-dependent Cox regression with age as time scale. We initially used 10-year follow-up data of 6,769 MESA participants, including coronary heart disease (CHD) (n = 272), heart failure (n = 201), stroke (n = 186), and competing death (n = 619) and assessed predictive validity at 15 years. We externally validated the model in matched National Health and Nutrition Examination Survey (NHANES) participants. Subsequently, we predicted CVD risk until age 100 years by diabetes, 10-year pooled cohort equations risk, and CAC score category (0, 1-100, or 100+). The model showed good calibration and discriminative performance at 15 years, with discrimination indices 0.71-0.78 across outcomes. In the NHANES cohort, predicted 15-year mortality risk corresponded well with Kaplan-Meier risk, especially for those with diabetes: 29.6% (95% CI 24.9-34.8) vs. 32.4% (95% CI 27.2-37.2), respectively. Diabetes increased lifetime CVD risk, similar to shifting one CAC category upward (from 0 to 1-100 or from 1-100 to 100+). Patients with diabetes and CAC score of 0 had a lifetime CVD risk that overlapped with that of individuals without diabetes who were at low 10-year pooled cohort equations risk (<7.5%). Patients with diabetes carry a spectrum of CVD risk. CAC scoring may improve decisions for preventive interventions for patients with diabetes by better delineating lifetime CVD risk.

Association of arterial stiffness with coronary artery calcium score in the general-population: the Swedish CArdioPulmonary bioImage study.

Coronary artery calcium score (CACS) is a marker of subclinical atherosclerosis. However, there is little data related to the association between arterial stiffness and CACS in the general population. The aim of this study was to explore the association between carotid femoral-pulse wave velocity (c-f PWV), a widely accepted marker of arterial stiffness, and CACS. Participants with complete measurements on c-f PWV, CACS and confounding variables from the Swedish CArdioPulmonary bioImage Study (SCAPIS) cohort were included in the final study population (n = 8725). CACS was divided into three categories (<10, >10 and ≤100, and >100) and multinomial logistic regression was performed to explore the association between these categories of CACS and quartiles of c-f PWV, and for per one standard deviation (SD) increment of c-f PWV. CACS ≤10, >10 and ≤100, and >100 were present in 69.3, 17.8 and 12.9% of the study population, respectively. The odds ratio (OR) for CACS >100 for the fourth quartile (Q4) of c-f PWV vs. Q1 (reference category) was 1.62 (95% confidence interval [CI] 1.25-2.12) after adjustments. One standard deviation increase in c-f PWV was independently associated with a higher odds of having a CACS category >100 (OR: 1.25, 95% CI 1.14-1.36) in the final multivariable model. c-f PWV is positively associated with increased risk of higher CACS, and can be valuable in identifying individuals at risk for sub-clinical atherosclerosis.

Distribution and determinants of coronary artery calcium score in asymptomatic patients with diabetes in two different settings: Comparison between patients in continental France and La Reunion Island

Coronary artery calcium score (CACS) is increasingly used to refine the cardiovascular risk prediction in patients with diabetes worldwide. However, its distribution and determinants in this population remain controversial. We aimed to determine the CACS distribution and determinants in asymptomatic patients with diabetes and to compare them between Limoges and La Reunion and between sex groups. We used the medical records of patients with diabetes who had at least one CACS measurement between 2014 and 2020 in Limoges and La Reunion. CACS was classified into four categories (0: no plaque, 1–99: mild plaque, 100–399: moderate plaque, and ≥ 400: severe plaque). Multinomial logistic regression models were performed to determine the risk factors associated with each CACS categories. In addition, a risk score for having a CACS≥ 400 was created with the patients in Limoges and then tested on those in La Reunion. A total of 577 patients were analyzed (369 from Limoges and 208 from La Reunion). The highest proportion of high CACS was found in Limoges. The multivariate analysis showed that age (OR by 10 years = 3.82[2.45-5.97]), male sex (3.81[1.79-8.09]), diabetic retinopathy (3.45[1.29-9.20]), family history of cardiovascular diseases (3.23[1.44-7.25]) and statine use (3.71[1.25-11.0]) were independent risk factors for CACS≥ 400. The stratified analysis on sex and location showed that male patients had more risk factors for high CACS than female and that in both of the cities the factors associated with high CACS were approximately the same. Similarly, the performance of the created risk score assessed by the receiver operating characteristic curve showed approximately equal areas under the curve (AUC) between Limoges (AUC = 0.74) and La Reunion (AUC = 0.71). In this study, we found that regardless of location, patients with diabetes share the same risk factors for high CACS and that men have more risk factors than women.

Abstract 14392: Progression of Coronary Artery Calcium Score Predicts Higher Risk for Coronary Revascularization

Introduction: The Coronary artery calcium (CAC) score is a powerful independent screening tool for coronary artery disease (CAD). Elevated CAC score has been significantly associated with increased rates of revascularization, however monitoring the progression of disease with a serial CAC score remains controversial. Hypothesis: The progression of the CAC score predicts the need for coronary revascularization. Methods: Data were analyzed retrospectively of patients who underwent two calcium scans between February 2008 and April 2021 as part of the Sanford Cardiovascular Prevention Program and were categorized into low (&lt;100), moderate (100-399), or high ≥400) CAC groups. Progression of the CAC score between two scans was analyzed and the need for clinically indicated revascularization (PCI vs CABG) was evaluated by the chi-square test. Results: A total of 5809 subjects were screened for CAC score. 54.3% were females and the mean age was 55.6 ±10.35 years. Progression of CAC score (Low to moderate/high, moderate to high) and need for revascularization was statistically significant (P&lt;0.001). In our study, patients who progressed from low to high and moderate to high CAC score category were found to have the highest rates of coronary revascularization, 11.92%, and 13.36 % respectively. Conclusions: In our study, patients who progressed to a high CAC score category were found to have a significantly increased need for revascularization. Repeating a CAC score in low to moderate risk patients may have clinical benefit and needs further investigation.

Correction to: Predictive Value of Coronary Artery Calcium Score Categories for Coronary Events Versus Strokes: Impact of Sex and Race: MESA and DHS.

Correction to: Predictive Value of Coronary Artery Calcium Score Categories for Coronary Events Versus Strokes: Impact of Sex and Race: MESA and DHS.