Correlation of coronary calcification and angiographically documented stenoses in patients with suspected coronary artery disease: results of 1,764 patients

Predicting categories of coronary artery calcium scores from chest X-ray images using deep learning

BACKGROUND

The coronary artery calcium (CAC) score (CACS) is recommended in clinical guidelines for coronary artery disease evaluation. However, it is being replaced by coronary computed tomography angiography as the primary diagnostic tool for patients with stable chest pain. This study aimed to develop and validate a deep learning model for predicting the CACS categories from chest X-ray radiographs (CXRs).

METHODS

We included 10,230 patients with available CXRs and CACSs obtained within six months. Three models were trained based on the CACS thresholds (0, 100, and 400) to distinguish zero from non-zero CACSs, CACSs of <100 and ​≥ ​100, and CACS of <400 and ​≥ ​400. The final CXR integration models incorporating clinical factors, including age, sex, and body mass index, were also trained. All models were evaluated using 10-fold cross-validation. External validation was also performed. We experimentally demonstrated the prognostic value of the predicted CACS for major adverse cardiovascular events, comparing it to the actual CACS classification.

RESULTS

The CACS classification performance of the deep learning model was promising, with areas under the curve (AUCs) of 0.74 (zero vs non-zero), 0.75 (<100 vs. ≥100), and 0.79 (<400 vs. ≥400). The accuracy of the model further improved upon the integration of clinical factors; the AUCs reached 0.77, 0.79, and 0.82, respectively, for the same CACS categories. The external validation results were consistent (AUCs of 0.78, 0.79, and 0.81, respectively).

CONCLUSIONS

The deep learning model effectively classified the CACS from CXRs, especially for cases of severe calcification. This approach can cost-effectively improve coronary artery disease risk assessment and support clinical decision-making while minimizing radiation exposure.

Combined single-photon emission computed tomography-myocardial perfusion imaging with coronary calcium score for assessing coronary disease

PURPOSE

Coronary artery disease (CAD) underestimation represents a major pitfall of single-photon emission computed tomography-myocardial perfusion imaging (SPECT-MPI). Coronary artery calcium score (CACS) has emerged as a sensitive tool for the assessment of suspect CAD; however, the integration of SPECT-MPI with CACS has been seldom evaluated, so far, and was therefore the aim of the present study.

METHODS

Patients undergoing SPECT-MPI with CACS and subsequent coronary angiography were included. ROC curves were used to identify the CACS values best predictive for CAD. In SPECT-MPI negative patients, the formula: defined the optimal CACS cut-points. The Systematic Coronary Risk Evaluation 2 was applied for 10-year cardiovascular risk estimation. Significant CAD was defined for an epicardial coronary stenosis >70 or 50% for the left main.

RESULTS

Among 124 patients, 61 (49.19%) displayed positive SPECT-MPI, whereas 69 (56%) had significant CAD at angiography. Sensitivity, specificity, and positive predictive value (PPV) for SPECT-MPI were, respectively, 74, 82, and 84%. Considering 63 SPECT-MPI negative cases, the index values for CACS at the optimal cutoff value of 1949 were: sensitivity 28%, specificity 89%, and PPV 50%, allowing to further detect five (8%) of the patients with significant CAD. The increased discriminative power of the combined SPECT-MPI with CACS was not conditioned by the pretest cardiovascular risk.

CONCLUSION

Among patients with suspect CAD undergoing SPECT-MPI, the addition of CACS in negative cases allows to detect a consistent further 8% of patients with significant CAD, thus limiting the risk of disease underestimation and offering potential prognostic benefits.

Correlation of Coronary Calcium Measured on Conventional Computed Tomography with Coronary Angiography Findings in Lung Transplant Patients

Introduction and objective: The pre-transplant protocol for lung transplant candidates includes a chest CT scan to assess disease progression and often coronary angiography (CA) to rule out coronary artery disease (CAD). Coronary artery calcium is commonly observed in these pre-transplant CT scans. This study aims to evaluate the relationship between coronary calcium detected on CT and findings from CA to determine whether calcium presence could serve as an additional criterion for selecting patients for CA. Material and Methods: We included 252 consecutive lung transplant patients who had both a CT scan and CA within 365 days of each other. Coronary calcium quantification was performed using artery-based, segment artery-based, and visual assessment methods. CA findings were classified by stenosis severity: ≤20%, 21-70%, and >70%. Results: This study showed very high concordance (kappa = 0.896; 95% CI: 0.843-0.948) between the three methods, especially in distinguishing patients without and with coronary calcium (kappa = 1.000; 95% CI: 0.929-1.071). ROC analysis identified the absence of coronary calcium as the best cutoff to differentiate patients with ≤20% stenosis from those with >21%, with a sensitivity of 73.5%, specificity of 55.7%, PPV of 28.5%, and NPV of 90%. Only 11 patients (8.7%) without coronary calcium had stenosis of 21-70%, and only 2 (1.6%) had stenosis > 70%. Conclusions: The visual assessment method yielded results similar to the other two quantification methods. The absence of coronary calcium in pre-transplant CT may be a useful criterion for selecting patients for CA.

Association between cumulative intake of sugar-sweetened and artificially sweetened beverages and progression of coronary calcification: Insights from the CARDIA study

BACKGROUND AND AIMS

This study investigates the relationship between the cumulative intake of artificially sweetened beverages (ASBs) and sugar-sweetened beverages (SSBs) during young adulthood and the progression of coronary artery calcium (CAC) by midlife, using data from the Coronary Artery Risk Development in Young Adults study.

METHODS AND RESULTS

We included 2,466 participants with CAC measurement via computed tomography at the 15th, 20th, and 25th year follow-ups. Dietary intake was assessed using the CARDIA Diet History at baseline and years 7. Cumulative average beverage intake was calculated and categorized. Multivariable Cox regression models adjusted for demographic, lifestyle, and cardiovascular risk factors assessed associations between beverages consumption and CAC progression. Among the included participants, 1107 (44.9 %) were male, 1439 (58.4 %) were white, and the average age was 40.4 years with a standard deviation of 3.5 years. Over a 9.2±1.8-year follow-up, CAC progression was recorded in 715 participants. Higher cumulative ASBs intake was associated with increased CAC progression risk, with hazard ratios (95%CI, P-value) for low and high ASBs consumption being 1.35 (1.14, 1.60; P < 0.001) and 1.54 (1.15, 2.07; P < 0.001) compared to non-consumers. Participants consuming >2 servings/day of SSBs had a 37 % higher CAC progression risk (HR 1.37, 95 % CI 1.14-1.64, P < 0.001). However, no significant association was found between SSB consumption and CAC progression after adjusting for confounders.

CONCLUSIONS

Prolonged consumption of beverages, especially ASBs, in young adults is linked to an increased risk of CAC progression.

Diagnostic utility of coronary artery calcium score percentiles and categories to exclude abnormal scans and relevant ischemia in rubidium positron emission tomography

Background

Despite clinical suspicion, most non-invasive ischemia tests for coronary artery disease (CAD) reveal unremarkable results. Patients with a coronary artery calcium score (CACS) of zero rarely have an abnormal positron emission tomography (PET) and could be deferred from further testing. However, most patients have some extent of coronary calcification.

Objectives

CACS percentiles could be useful to exclude abnormal perfusion in patients with CACS >0, but data from patients with 82Rb PET are lacking. The aim of this study was to assess the diagnostic utility of CACS percentiles in comparison to zero calcium and absolute CACS classes.

Methods

Consecutive patients with suspected CAD (n = 1,792) referred for 82Rb PET were included and analyzed for abnormal PET (SSS ≥4) and relevant ischemia (>10% myocardium). Test characteristics were calculated.

Results

The mean age was 65 ± 11 years, 43% were female, and typical angina was reported in 21%. Abnormal PET/relevant ischemia (>10%) were observed in 19.8%/9.3%. Overall, the sensitivity/negative predictive value (NPV) of a <25th percentile CACS to rule out abnormal PET and relevant ischemia were 93.0%/95.7% and 98.2%/99.5%, respectively. The sensitivity/NPV of CACS 1-9 to rule out abnormal PET and relevant ischemia were 96.0%/91.8% and 97.6%/97.6%, respectively. Except for patients <50 years old, sensitivity for abnormal PET was >90.9% in all age groups.

Conclusion

In patients >50 years, the <25th percentile and CACS 1-9 had good test characteristics to rule out abnormal PET and relevant ischemia (>10%). They could be used to extend the scope of application of CACS 0 by 8%-10% to 32%-34% overall of patients who could be deferred from further testing.

Diagnostic performance of coronary calcifications on CT to rule out acute coronary syndrome in the emergency department

BACKGROUND

At present, the diagnosis of acute coronary syndrome (ACS) can be made by emergency physicians using the usual complementary tests, since the current troponin and electrocardiogram (ECG) protocols have been extensively tested for their safety. However, the detection of coronary calcifications on CT associated with coronary obstruction may be of interest for the diagnostic strategy in the emergency department (ED). The aim of this study was to evaluate a strategy combining a non-ischemic ECG with an initial normal troponin assay and the diagnostic accuracy of chest CT in detecting coronary calcifications to rule out the presence of an acute coronary event in patients presenting with chest pain in the ED.

METHODS

This was a retrospective, single-center study carried out in an ED in France and included all patients over 18 years of age presenting with chest pain between 1 June 2021 and 31 December 2021 with a non-ischemic ECG and a negative first troponin assay. The primary endpoint was the diagnostic performance of the combing strategy in ruling out ACS. The secondary endpoints were the sensitivity and specificity of calcifications in acute coronary syndrome, comparison with the diagnostic performance of a second troponin assay and the rate of reconsultation, rehospitalisation and investigations within 2 months of the ED.

RESULTS

Of the 280 patients included, 141 didn't have calcifications. A total of 14 events were found with a negative predictive value for the combining strategy of 99.8% [95%CI: 98.2 - 100]. Sensitivity and specificity were 98.4% [95%CI: 83.8 - 100] and 53% [95%CI: 47 - 58.9], respectively. Among patients with no calcification, 8.2% were admitted to hospital and none suffered an acute coronary event. A total of 36 patients (12.8%) consulted a doctor within 2 months, with 23 investigations, all of which were negative in the non-calcification group.

CONCLUSIONS

A strategy combining the detection of coronary calcifications on chest CT in patients with a non-ischemic ECG and a single troponin assay is effective to rule out ACS in the ED, and may perform better then ECG and troponin alone.

Identifying Coronary Artery Calcification Using Chest X-ray Radiographs and Machine Learning: The Role of the Radiomics Score

PURPOSE

To evaluate the ability of radiomics score (RS)-based machine learning to identify moderate to severe coronary artery calcium (CAC) on chest x-ray radiographs (CXR).

MATERIALS AND METHODS

We included 559 patients who underwent a CAC scan with CXR obtained within 6 months and divided them into training (n = 391) and validation (n = 168) cohorts. We extracted radiomic features from annotated cardiac contours in the CXR images and developed an RS through feature selection with the least absolute shrinkage and selection operator regression in the training cohort. We evaluated the incremental value of the RS in predicting CAC scores when combined with basic clinical factor in the validation cohort. To predict a CAC score ≥100, we built an RS-based machine learning model using random forest; the input variables were age, sex, body mass index, and RS.

RESULTS

The RS was the most prominent factor for the CAC score ≥100 predictions (odds ratio = 2.33; 95% confidence interval: 1.62-3.44; P < 0.001) compared with basic clinical factor. The machine learning model was tested in the validation cohort and showed an area under the receiver operating characteristic curve of 0.808 (95% confidence interval: 0.75-0.87) for a CAC score ≥100 predictions.

CONCLUSIONS

The use of an RS-based machine learning model may have the potential as an imaging marker to screen patients with moderate to severe CAC scores before diagnostic imaging tests, and it may improve the pretest probability of detecting coronary artery disease in clinical practice.

Association of potato consumption with calcified atherosclerotic plaques in the coronary arteries: The NHLBI Family Heart Study

BACKGROUND AND AIMS

While the association of potato consumption with risk factors for coronary artery disease has been inconsistent, no data are available in the literature on the influence of potato consumption on subclinical disease. Thus, we sought to examine whether baked/mashed potato consumption is associated with calcified atherosclerotic plaques in the coronary arteries.

METHODS AND RESULTS

In a cross-sectional design, we studied 2208 participants of the NHLBI Family Heart Study. These subjects were selected based on their elevated cardiovascular disease risk compared to the general population. Potato consumption was assessed by a semi-quantitative food frequency questionnaire. We defined prevalent CAC using an Agatston score of at least 100 and fitted generalized estimating equations to calculate prevalence odds ratios of CAC. Mean age at initial clinic visit was 58.2 years and 55% were female. Median consumption of potatoes was 2-4/week. There was no statistically significant association between frequency of potato consumption and prevalent CAC: odds ratios (95% CI) for CAC were 1.0 (reference), 0.85 (0.56-1.30), 0.85 (0.58-1.26), and 0.95 (0.60-1.53) among subjects reporting potato consumption of <1/week, 1/week, 2-4/week, and 5+/week, respectively (p for linear trend 0.83), adjusting for age, sex, BMI, smoking, exercise, diabetes, hypertension, total calories, prevalent coronary heart disease, income, education, and daily red meat intake.

CONCLUSIONS

We found no significant association between baked/mashed potato consumption and CAC in older adults.

STUDY REGISTRATION NUMBER

NCT00005136. Study registration date: 5/25/2000.

Combined evaluation of CAC score and myocardial perfusion imaging in patients at risk of cardiovascular disease: where are we and what do the data say

Advances in the prevention and treatment of cardiovascular disease (CVD) over the last decades have led to a marked reduction in mortality for CVD. Nevertheless, atherosclerosis leading to coronary artery disease and stroke remains one of the most common causes of death in the world. The usefulness of imaging tests in the early identification of disease led to identify subjects at major risk of poor outcomes, suggesting risk factor modification. The aim of this article is to analyze the state of art of combined imaging in patients at risk of CVD referred to MPI evaluation, to highlight the present and potential features able to provide incremental prognostic information to help clinicians in patient management and to reduce adverse events.

Effect of dipeptidyl peptidase-4 inhibitor on the progression of coronary artery disease evaluated by computed tomography in patients receiving insulin therapy for type 2 diabetes mellitus

BACKGROUND

We evaluated the effect of a dipeptidyl peptidase-4 inhibitor (DPP-4i) on the progression of obstructive coronary artery disease (OCAD) in patients with type 2 diabetes mellitus (T2DM) receiving insulin therapy.

METHODS

Using a multicenter clinical data warehouse, we analyzed the patients receiving insulin therapy for T2DM who underwent coronary computed tomography angiography (CCTA) for ≥2 times. The patients were divided into two groups according to the presence of DPP-4i prescription between the two CCTA examinations. The prevalence of OCAD (>50% stenosis on CCTA), new revascularization rates, and changes in the coronary calcium score (CCS) were analyzed.

RESULTS

A total of 623 patients were included, and a DPP-4i was prescribed to 380 (60.9%) patients. The median time difference between the two CCTAs was 39.0 (17.0-61.4) months. Newly developed OCAD at the follow-up CCTA was detected in 62 (16.3%) patients in the DPP-4i group and 76 (31.3%) patients in the no DPP-4i group (p < 0.001). The risk of new OCAD or new revascularization was lower in the DPP-4i group (19.7% vs. 38.7%; p < 0.001). After propensity score matching, the prevalence of new OCAD (15.9% vs. 29.5%; p = 0.001) and the composite rate of new OCAD or new revascularization (18.7% vs. 37.3%; p < 0.001) were lower in the DPP-4i group. The change in CCS per year did not differ significantly between the two groups (9.1 [0.1-56.8] vs. 13.5 [0.0-78.6]; p = 0.715).

CONCLUSIONS

Add-on DPP-4i therapy would be beneficial in preventing coronary artery disease progression in patients with T2DM receiving insulin therapy.

Migraine and cardiovascular disease: what cardiologists should know

Migraine is a chronic neurovascular disease with a complex, not fully understood pathophysiology with multiple causes. People with migraine suffer from recurrent moderate to severe headache attacks varying from 4 to 72 h. The prevalence of migraine is two to three times higher in women compared with men. Importantly, it is the most disabling disease in women <50 years of age due to a high number of years lived with disability, resulting in a very high global socioeconomic burden. Robust evidence exists on the association between migraine with aura and increased incidence of cardiovascular disease (CVD), in particular ischaemic stroke. People with migraine with aura have an increased risk of atrial fibrillation, myocardial infarction, and cardiovascular death compared with those without migraine. Ongoing studies investigate the relation between migraine and angina with non-obstructive coronary arteries and migraine patients with patent foramen ovale. Medication for the treatment of migraine can be preventative medication, such as beta-blockers, angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, antiepileptics, antidepressants, some of the long-acting calcitonin gene-related peptide receptor antagonists, or monoclonal antibodies against calcitonin gene-related peptide or its receptor, or acute medication, such as triptans and calcitonin gene-related peptide receptor antagonists. However, these medications might raise concerns when migraine patients also have CVD due to possible (coronary) side effects. Specifically, knowledge gaps remain for the contraindication to newer treatments for migraine. All cardiologists will encounter patients with CVD and migraine. This state-of-the-art review will outline the basic pathophysiology of migraine and the associations between migraine and CVD, discuss current therapies, and propose future directions for research.

Standardized Radiomics Analysis of Clinical Myocardial Perfusion Stress SPECT Images to Identify Coronary Artery Calcification

PURPOSE

Myocardial perfusion (MP) stress single-photon emission computed tomography (SPECT) is an established diagnostic test for patients suspected of coronary artery disease (CAD). Meanwhile, coronary artery calcification (CAC) scoring obtained from diagnostic CT is a highly sensitive test, offering incremental diagnostic information in identifying patients with significant CAD yet normal MP stress SPECT (MPSS) scans. However, after decades of wide utilization of MPSS, CAC is not commonly reimbursed (e.g. by the CMS), nor widely deployed in community settings. We studied the potential of complementary information deduced from the radiomics analysis of normal MPSS scans in predicting the CAC score.

METHODS

We collected data from 428 patients with normal (non-ischemic) MPSS (99mTc-sestamibi; consensus reading). A nuclear medicine physician verified iteratively reconstructed images (attenuation-corrected) to be free from fixed perfusion defects and artifactual attenuation. Three-dimensional images were automatically segmented into four regions of interest (ROIs), including myocardium and three vascular segments (left anterior descending [LAD]-left circumference [LCX]-right coronary artery [RCA]). We used our software package, standardized environment for radiomics analysis (SERA), to extract 487 radiomic features in compliance with the image biomarker standardization initiative (IBSI). Isotropic cubic voxels were discretized using fixed bin-number discretization (eight schemes). We first performed blind-to-outcome feature selection focusing on a priori usefulness, dynamic range, and redundancy of features. Subsequently, we performed univariate and multivariate machine learning analyses to predict CAC scores from i) selected radiomic features, ii) 10 clinical features, and iii) combined radiomics + clinical features. Univariate analysis invoked Spearman correlation with Benjamini-Hotchberg false-discovery correction. The multivariate analysis incorporated stepwise linear regression, where we randomly selected a 15% test set and divided the other 85% of data into 70% training and 30% validation sets. Training started from a constant (intercept) model, iteratively adding/removing features (stepwise regression), invoking the Akaike information criterion (AIC) to discourage overfitting. Validation was run similarly, except that the training output model was used as the initial model. We randomized training/validation sets 20 times, selecting the best model using log-likelihood for evaluation in the test set. Assessment in the test set was performed thoroughly by running the entire operation 50 times, subsequently employing Fisher's method to verify the significance of independent tests.

RESULTS

Unsupervised feature selection significantly reduced 8×487 features to 56. In univariate analysis, no feature survived the false-discovery rate (FDR) to directly correlate with CAC scores. Applying Fisher's method to the multivariate regression results demonstrated combining radiomics with the clinical features to enhance the significance of the prediction model across all cardiac segments.  Conclusions: Our standardized and statistically robust multivariate analysis demonstrated significant prediction of the CAC score for all cardiac segments when combining MPSS radiomic features with clinical features, suggesting radiomics analysis can add diagnostic or prognostic value to standard MPSS for wide clinical usage.

The power of zero calcium in 82-Rubidium PET irrespective of sex and age

BACKGROUND

Despite clinical suspicion, many non-invasive tests for coronary artery disease (CAD) are normal. Coronary artery calcification score (CACS) is a well-validated method to detect and risk stratify CAD. Patients with zero calcium score (ZCS) rarely have abnormal tests. Therefore, aims were to evaluate CACS as a gatekeeper to further functional downstream testing for CAD and estimate potential radiation and cost savings.

METHODS

Consecutive patients with suspected CAD referred for PET were included (n = 2640). Prevalence and test characteristics of ZCS were calculated in different groups. Summed stress score ≥ 4 was considered abnormal and summed difference score ≥ 7 equivalent to ≥ 10% ischemia. To estimate potential radiation/cost reduction, PET scans were hypothetically omitted in ZCS patients.

RESULTS

Mean age was 65 ± 11 years, 46% were female. 21% scans were abnormal and 26% of patients had ZCS. CACS was higher in abnormal PET (median 561 vs 27, P < 0.001). Abnormal PET was significantly less frequent in ZCS patients (2.6% vs 27.6%, P < 0.001). Sensitivity/negative predictive value (NPV) of ZCS to detect/exclude abnormal PET and ≥ 10% ischemia were 96.8% (95%-CI 95.0%-97.9%)/97.4% (95.9%-98.3%) and 98.9% (96.7%-99.6%)/99.6% (98.7%-99.9%), respectively. Radiation and cost reduction were estimated to be 23% and 22%, respectively.

CONCLUSIONS

ZCS is frequent, and most often consistent with normal PET scans. ZCS offers an excellent NPV to exclude an abnormal PET and ≥ 10% ischemia across different gender and age groups. CACS is a suitable gatekeeper before advanced cardiac imaging, and potential radiation/cost savings are substantial. However, further studies including safety endpoints are needed.

Computational clustering reveals differentiated coronary artery calcium progression at prevalent levels of pulse wave velocity by classifying high-risk patients

Many studies found that increased arterial stiffness is significantly associated with the presence and progression of Coronary Calcium Score (CCS). However, none so far have used machine learning algorithms to improve their value. Therefore, this study aims to evaluate the association between carotid-femoral Pulse Wave Velocity (cfPWV) and CCS score through computational clustering. We conducted a retrospective cross-sectional study using data from a cardiovascular risk screening program that included 377 participants. We used an unsupervised clustering algorithm using age, weight, height, blood pressure, heart rate, and cfPWV as input variables. Differences between cluster groups were analyzed through Chi-square and T-student tests. The association between (i) cfPWV and age groups, (ii) log (CCS) and age groups, and (iii) cfPWV and log(CCS) were addressed through linear regression analysis. Clusters were labeled post hoc based on cardiovascular risk. A "higher-risk group" had significantly higher left (0.76 vs. 0.70 mm, P < 0.001) and right (0.71 vs. 0.66 mm, P = 0.003) intima-media thickness, CCS (42 vs. 4 Agatston units, P = 0.012), and ascending (3.40 vs. 3.20 cm, P < 0.001) and descending (2.60 vs. 2.37 cm, P < 0.001) aorta diameters. Association with age appeared linear for cfPWV and exponential for log (CCS). The progression of the log (CCS) and cfPWV through age groups was steeper in the "higher-risk group" than in the "lower-risk group". cfPWV strongly correlated with CCS, and CCS progression over cfPWV differed among clusters. This finding could improve PWV as a "gate-keeper" of CCS testing and potentially enhance cardiovascular risk stratification.

Early markers of atherosclerosis: predictors of cardiovascular events

Coronary heart disease remains a leading cause of death in adults, accounting for 16% of all deaths worldwide. Atherosclerosis and related complications have a significant share in the structure of cardiovascular diseases. Most adults have a combination of risk factors of varying severity that influence the risk of cardiovascular disease (CVD) and its complications, so total vascular risk estimation is recommended. Although traditional risk factors play an essential role in the development of CVDs, there are significant differences in atherosclerosis severity among patients. Therefore, noninvasive atherosclerotic imaging techniques are still relevant to improve CVD risk assessment. Preclinical vascular lesions were evaluated using the following methods: measurement of coronary calcium, the thickness of the intima-media complex, ankle-brachial index, and pulse wave velocity. Preclinical atherosclerotic vascular lesions were reported to be a predictor of complications. Noninvasive imaging techniques estimate the severity and clinical consequences of atherosclerotic vascular lesions. However, more research is needed to clarify the role of different methods for detecting subclinical atherosclerosis to improve the accuracy of cardiovascular risk assessment.

The value of regional and global CACS combined with SPECT MPI in detecting obstructive CAD: a retrospective real-world comparative study

OBJECTIVE

Previous studies have shown that global coronary artery calcium score (CACS) can improve single photon emission computerized tomography (SPECT) myocardial perfusion imaging (MPI) to detect obstructive coronary artery disease (CAD). Whether regional CACS can improve SPECT MPI to detect obstructive CAD remains unclear. The aim of this study was to verify whether regional CACS has additional diagnostic value for obstructive CAD in suspected patients, compared to SPECT MPI and global CACS.

METHODS

The study included 321 suspected CAD patients who underwent one-stop rest-stress SPECT MPI and low-dose computed tomography (CT) scan. All patients underwent coronary angiography within one month after examination. MPI images were visually analyzed by 2 experienced nuclear cardiologists. The regional CACS of left anterior descending coronary artery (LAD), left circumflex coronary artery (LCX), right coronary artery (RCA) and global CACS were calculated. Obstructive CAD was defined as ≥ 70% narrowing of the inner diameter of the LAD, LCX, RCA or their main branches and ≥ 50% narrowing of the left main coronary artery (LM).

RESULTS

Among the 321 patients, 86 (26.8%, 86/321) had obstructive CAD. With the increased in global and regional CACS, there was an increasing trend of patients with obstructive CAD (P for trend < 0.001). Regional CACS had a better diagnostic performance in RCA territories (AUC 0.856, P < 0.001) compared with LAD, LCX territories (AUC 0.690, 0.674, respectively). The AUC of combined regional CACS and MPI was significantly higher than that of MPI alone (0.735 vs. 0.600, P < 0.001). However, based on MPI, the AUC of combined regional CACS was not significantly higher than that of global CACS (0.735 vs. 0.732, P = 0.898). The sensitivity and specificity of regional CACS combined with MPI for detecting obstructive CAD were 64.0% and 72.8%, respectively.

CONCLUSIONS

Regional CACS was effective in detecting obstructive CAD in RCA territory. Based on SPECT MPI, regional CACS improved the detection of obstructive CAD, but was not superior to global CACS.

Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium

OBJECTIVES

There is conflicting evidence about the comparative diagnostic accuracy of the Agatston score versus computed tomography angiography (CTA) in patients with suspected obstructive coronary artery disease (CAD).

PURPOSE

To determine whether CTA is superior to the Agatston score in the diagnosis of CAD.

METHODS

In total 2452 patients with stable chest pain and a clinical indication for invasive coronary angiography (ICA) for suspected CAD were included by the Collaborative Meta-analysis of Cardiac CT (COME-CCT) Consortium. An Agatston score of > 400 was considered positive, and obstructive CAD defined as at least 50% coronary diameter stenosis on ICA was used as the reference standard.

RESULTS

Obstructive CAD was diagnosed in 44.9% of patients (1100/2452). The median Agatston score was 74. Diagnostic accuracy of CTA for the detection of obstructive CAD (81.1%, 95% confidence interval [CI]: 77.5 to 84.1%) was significantly higher than that of the Agatston score (68.8%, 95% CI: 64.2 to 73.1%, p < 0.001). Among patients with an Agatston score of zero, 17% (101/600) had obstructive CAD. Diagnostic accuracy of CTA was not significantly different in patients with low to intermediate (1 to < 100, 100-400) versus moderate to high Agatston scores (401-1000, > 1000).

CONCLUSIONS

Results in our international cohort show CTA to have significantly higher diagnostic accuracy than the Agatston score in patients with stable chest pain, suspected CAD, and a clinical indication for ICA. Diagnostic performance of CTA is not affected by a higher Agatston score while an Agatston score of zero does not reliably exclude obstructive CAD.

KEY POINTS

• CTA showed significantly higher diagnostic accuracy (81.1%, 95% confidence interval [CI]: 77.5 to 84.1%) for diagnosis of coronary artery disease when compared to the Agatston score (68.8%, 95% CI: 64.2 to 73.1%, p < 0.001). • Diagnostic performance of CTA was not affected by increased amount of calcium and was not significantly different in patients with low to intermediate (1 to <100, 100-400) versus moderate to high Agatston scores (401-1000, > 1000). • Seventeen percent of patients with an Agatston score of zero showed obstructive coronary artery disease by invasive angiography showing absence of coronary artery calcium cannot reliably exclude coronary artery disease.

Dairy product consumption and calcified atherosclerotic plaques in the coronary arteries: The NHLBI Family Heart Study

BACKGROUND & AIMS

Diet modification is a major component of non-pharmacological coronary heart disease (CHD) prevention. Few studies have examined the association between consumption of different dairy products with subclinical coronary artery disease. We sought to examine whether milk, yogurt, or cheese consumption is associated with calcified atherosclerotic plaques in the coronary arteries.

METHODS

We cross-sectionally examined 2278 participants from the National Heart, Lung, and Blood Institute Family Heart Study. Dairy consumption was assessed by a semiquantitative food frequency questionnaire. Coronary artery calcium (CAC) was estimated by cardiac computed tomography. We used an Agatston score of ≥100 to indicate prevalent CAC and fitted multivariable logistic regression to calculate adjusted odds ratios.

RESULTS

Mean age was 58 ± 13 years and 45% were male. The frequency of milk (≤1/week, 2-4/week, and ≥5/week; 22%, 14%, and 64%, respectively), yogurt (almost never, <1/week, and ≥1/week; 54%, 20%, and 26%, respectively), and cheese consumption (<1/week, 1/week, 2-4/week, and ≥5/week; 15%, 17%, 41%, and 27%, respectively) varied in the cohort. We observed an inverse association of cheese consumption with prevalent CAC: odds ratio (95% CI) of 0.63 (0.42-0.94) when comparing cheese intake of ≥5 servings/week with <1/week, adjusting for sex, age, body mass index, cigarette pack years, presence of CHD, family income, and education (p for linear trend 0.007). In contrast, there was no association between yogurt or milk consumption and CAC (p for linear trend 0.51 and 0.87, respectively).

CONCLUSION

Our data suggest that cheese consumption but not yogurt or milk is associated with a lower odds of CAC in men and women.

Asymptomatic coronary artery disease assessed by coronary computed tomography in patients with systemic lupus erythematosus: A systematic review and meta-analysis

BACKGROUND

Coronary artery disease (CAD) assessed by coronary computed tomography (CT) in patients with systemic lupus erythematosus (SLE) has been investigated in several studies, but with conflicting results. The aim of this systematic review and meta-analysis of the literature was synthesize the evidence on this topic.

METHODS

The relevant literature was identified and evaluated from inception until January 2021 in PubMed, Embase, Web of Science and Cochrane library. Studies reporting coronary artery calcification (CAC), and its prevalence and extent using the coronary calcium score (CCS) were included. Data extracted from eligible studies were used to calculate effect estimates (ESs) and 95% confidence intervals (95%CI) and weighted mean differences (WMD) with 95%CI.

RESULTS

Twenty-four studies were eligible for inclusion. For the CAC prevalence, 11 studies were included (918 SLE patients and 3952 controls) and the pooled prevalence for the random effect was 29.8% (95%CI 25.7-32.9%) for SLE patients and 11.8% (95%CI 16.2-20.4%) in controls (RR 2.22, 95%CI 1.42 to 3.48; p= 0.0005) and no significant increase in the WMD for CCS (MD= 0.32, 95%CI -5.55 to 6.20, p= 0.91) compared with controls in seven studies. Greater organ damage and glucocorticoid use has been associated with a higher CCS. According to two studies, the coronary CT angiography calcified and non-calcified plaque burden were increased in SLE patients compared with controls.

CONCLUSIONS

In SLE, asymptomatic CAD by CAC is more prevalent and there is more multivessel disease compared with controls without lupus. However, the extent of CAC was not increased in SLE patients.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42021228710.

Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study

BACKGROUND

The aim of this work was to assess the robustness of cardiac SPECT radiomic features against changes in imaging settings, including acquisition, and reconstruction parameters.

METHODS

Four commercial SPECT and SPECT/CT cameras were used to acquire images of a static cardiac phantom mimicking typical myorcardial perfusion imaging using 185 MBq of 99mTc. The effects of different image acquisition and reconstruction parameters, including number of views, view matrix size, attenuation correction, as well as image reconstruction related parameters (algorithm, number of iterations, number of subsets, type of post-reconstruction filter, and its associated parameters, including filter order and cut-off frequency) were studied. In total, 5,063 transverse views were reconstructed by varying the aforementioned factors. Eighty-seven radiomic features including first-, second-, and high-order textures were extracted from these images. To assess reproducibility and repeatability, the coefficient of variation (COV), as a widely adopted metric, was measured for each of the radiomic features over the different imaging settings.

RESULTS

The Inverse Difference Moment Normalized (IDMN) and Inverse Difference Normalized (IDN) features from the Gray Level Co-occurrence Matrix (GLCM), Run Percentage (RP) from the Gray Level Co-occurrence Matrix (GLRLM), Zone Entropy (ZE) from the Gray Level Size Zone Matrix (GLSZM), and Dependence Entropy (DE) from the Gray Level Dependence Matrix (GLDM) feature sets were the only features that exhibited high reproducibility (COV ≤ 5%) against changes in all imaging settings. In addition, Large Area Low Gray Level Emphasis (LALGLE), Small Area Low Gray Level Emphasis (SALGLE) and Low Gray Level Zone Emphasis (LGLZE) from GLSZM, and Small Dependence Low Gray Level Emphasis (SDLGLE) from GLDM feature sets turned out to be less reproducible (COV > 20%) against changes in imaging settings. The GLRLM (31.88%) and GLDM feature set (54.2%) had the highest (COV < 5%) and lowest (COV > 20%) number of the reproducible features, respectively. Matrix size had the largest impact on feature variability as most of the features were not repeatable when matrix size was modified with 82.8% of them having a COV > 20%.

CONCLUSION

The repeatability and reproducibility of SPECT/CT cardiac radiomic features under different imaging settings is feature-dependent. Different image acquisition and reconstruction protocols have variable effects on radiomic features. The radiomic features exhibiting low COV are potential candidates for future clinical studies.

Present and future of coronary risk assessment

The search for subclinical atherosclerosis is carried out in several arterial districts using ultrasonography and computed tomography (CT). Coronary calcium assessed by computerized tomography (calcium score) is a well-validated marker of atherosclerosis and able to correlate with the extent of coronary artery disease and the risk of cardiovascular events. The evaluation of carotid atherosclerosis by ultrasonography is a technically simple and low-cost solution. However, the literature does not provide a sufficient number of evidence to clarify the clinical impact of carotid atherosclerosis and in particular the risk of developing cardiac events. According to the researchers of the Progression of Early Subclinical Atherosclerosis (PESA) study, subclinical atherosclerosis research should preferably be carried out in the femoral district, which is more easily affected by atherosclerosis. Pending the data from the PESA study, which will better clarify the role of ultrasound applied in non-coronary districts, the coronary calcifications seems to be a reasonable solution. It is possible that in the future imaging techniques (CT-PET) capable of studying the extent and functional status of coronary atherosclerosis will further improve the identification of the risk of cardiovascular events.

Coronary Artery Calcification as a Marker for Coronary Artery Stenosis: Comparing Kidney Failure to the General Population

Rationale & Objective

The presence of calcified plaques in the coronary arteries is associated with cardiovascular mortality and is a hallmark of chronic kidney failure, but it is unclear whether this is associated with the same degree of coronary artery stenosis as in patients without kidney disease. We compared the relationship of coronary artery calcification (CAC) and stenosis between dialysis patients and patients without chronic kidney disease (CKD).

Study Design

Observational cohort study.

Setting & Participants

127 dialysis patients and 447 patients without CKD with cardiovascular risk factors underwent cardiac computed tomography (CT), consisting of non–contrast-enhanced CT and CT angiography. CAC score and degree of coronary artery stenosis were assessed by independent readers.

Predictor

Dialysis treatment.

Outcome

Association between calcification and stenosis.

Analytical Approach

Logistic regression to determine the association between CAC score and the presence of stenosis in a matched cohort and, in the full cohort, testing for the interaction of dialysis status with this relationship.

Results

112 patients were matched from each cohort, totaling 224 patients, using propensity scores for dialysis, balancing numerous cardiovascular risk factors. Median CAC score was 210 (IQR, 19-859) in dialysis patients and 58 (IQR, 0-254) in patients without CKD; 35% of dialysis patients and 36% of patients without CKD had coronary artery stenosis ≥ 50%. Per each 100-unit higher CAC score, the matched dialysis cohort had significantly lower ORs for stenosis than the non-CKD cohort, 0.67 (95% CI, 0.52-0.83) for stenosis ≥ 50% and 0.75 (95% CI, 0.62-0.90) for stenosis ≥ 70%.

Limitations

No comparison with the gold standard fractional flow reserve.

Conclusions

Dialysis patients have higher risk for coronary artery stenosis with higher CAC scores, but this risk is comparatively lower than in patients without CKD with similar CAC scores. In dialysis patients, a high CAC score can easily be found without significant stenosis. Our data enable “translation” of degree of calcification to the probability of coronary stenosis in dialysis patients.

Myocardial Flow Reserve Measurement During CZT-SPECT Perfusion Imaging for Coronary Artery Disease Screening: Correlation With Clinical Findings and Invasive Coronary Angiography-The CFR-OR Study

Purpose: The aim of this study was to assess the results of cadmium zinc telluride (CZT)- single-photon emission computed tomography (SPECT) myocardial flow reserve (MFR) in coronary artery disease (CAD) screening regarding clinical risk and its correlation to invasive coronary angiography (ICA). Methods: A total of 137 patients (61 male and 76 female) referred for CAD screening myocardial perfusion imaging (MPI) between November 2018 and April 2020 were included in the CFR-OR prospective trial. The 10-year risk of cardiovascular death according to the European Society of Cardiology (SCORE) was calculated. SPECT 1-day 99mTc-tetrofosmin protocol was acquired on CZT cardiac-dedicated pinhole cameras. Low-dose thoracic CT was used for coronary calcium score (CCS) evaluation. ICA, when performed within 3 months, was also analyzed. Results: Mean SCORE and mean global MFR were, respectively, 4 ± 3.1% and 2.50 ± 0.74; 34 patients had impaired CFR (using a threshold of 2). There was a significant inverse correlation between MFR and SCORE (p = 0.006), gender (p = 0.019), and number of cardiovascular risk factors (p = 0.01). MFR was significantly reduced in patients with CCS above 1 (p = 0.01). No significant correlation was found between MFR and individual cardiovascular risk factors (dyslipidemia, hypertension, diabetes, or family history of CAD). A total of 23 patients underwent ICA. Global MFR SPECT sensitivity and specificity were 83.3 and 100 %, respectively, with an area under the curve of 0.94. Conclusion: Adding MFR to SPECT MPI for CAD screening on CZT camera may contribute to high-risk patient identification and enhance diagnostic performances. MFR could help physician decision to perform ICA.

Sugar-Sweetened Beverage Consumption and Calcified Atherosclerotic Plaques in the Coronary Arteries: The NHLBI Family Heart Study

Background: Sugar-sweetened beverage (SSB) intake is associated with higher risk of weight gain, diabetes, hypertension, cardiovascular disease, and cardiovascular mortality. However, the association of SSB with subclinical atherosclerosis in the general population is unknown. Objective: Our primary objective was to investigate the association between SSB intake and prevalence of atherosclerotic plaque in the coronary arteries in The National Heart, Lung, and Blood Institute (NHLBI) Family Heart Study. Methods: We studied 1991 participants of the NHLBI Family Heart Study without known coronary heart disease. Intake of SSB was assessed through a semi-quantitative food frequency questionnaire. Coronary artery calcium (CAC) was measured by cardiac Computed Tomography (CT) and prevalent CAC was defined as an Agatston score ≥100. We used generalized estimating equations to calculate adjusted prevalence ratios of CAC. A sensitivity analysis was also performed at different ranges of cut points for CAC. Results: Mean age and body mass index (BMI) were 55.0 years and 29.5 kg/m², respectively, and 60% were female. In analysis adjusted for age, sex, BMI, smoking, alcohol use, physical activity, energy intake, and field center, higher SSB consumption was not associated with higher prevalence of CAC [prevalence ratio (95% confidence interval) of: 1.0 (reference), 1.36 (0.70–2.63), 1.69 (0.93–3.09), 1.21 (0.69–2.12), 1.05 (0.60–1.84), and 1.58 (0.85–2.94) for SSB consumption of almost never, 1–3/month, 1/week, 2–6/week, 1/day, and ≥2/day, respectively (p for linear trend 0.32)]. In a sensitivity analysis, there was no evidence of association between SSB and prevalent CAC when different CAC cut points of 0, 50, 150, 200, and 300 were used. Conclusions: These data do not provide evidence for an association between SSB consumption and prevalent CAC in adult men and women.

Physical Aggression and Coronary Artery Calcification: A North Texas Healthy Heart Study

BACKGROUND

The purpose of this study was to determine the association between aspects of hostility and coronary artery calcification (CAC) scores. Specifically, analyses differentiated between subtypes of hostility and their relation to CAC.

METHODS

A sample of 571 patients aged 45 or older with no history of cardiovascular disease completed assessments of demographic, psychosocial, and medical history, along with a radiological CAC determination. Logistic regression was used to determine the association between hostility and CAC. Hostility was measured using the Aggression Questionnaire, which measured total aggression and how aggression is manifested on four scales: Physical, Verbal, Anger, and Hostility Aggression.

RESULTS

Regression analyses indicated that only the physical aggression parameter was related to CAC: a 5% increase in odds of CAC presence was indicated for every point increase in physical aggression. The association remained significant in adjusted analyses. Other factors associated with CAC in adjusted analyses included: age, gender, race/ethnicity, BMI, and dyslipidemia.

CONCLUSIONS

Psychosocial factors, such as physical aggression, are emerging factors that need to be considered in cardiovascular risk stratification.

The prognostic value of automated coronary calcium derived by a deep learning approach on non-ECG gated CT images from 82Rb-PET/CT myocardial perfusion imaging

BACKGROUND

Assessment of both coronary artery calcium(CAC) scores and myocardial perfusion imaging(MPI) in patients suspected of coronary artery disease(CAD) provides incremental prognostic information. We used an automated method to determine CAC scores on low-dose attenuation correction CT(LDACT) images gathered during MPI in one single assessment. The prognostic value of this automated CAC score is unknown, we therefore investigated the association of this automated CAC scores and major adverse cardiovascular events(MACE) in a large chest-pain cohort.

METHOD

We analyzed 747 symptomatic patients referred for ⁸²RubidiumPET/CT, without a history of coronary revascularization. Ischemia was defined as a summed difference score≥2. We used a validated deep learning(DL) method to determine CAC scores. For survival analysis CAC scores were dichotomized as low(<400) and high(≥400). MACE was defined as all cause death, late revascularization (>90 days after scanning) or nonfatal myocardial infarction. Cox proportional hazard analysis were performed to identify predictors of MACE.

RESULTS

During 4 years follow-up, 115 MACEs were observed. High CAC scores showed higher cumulative event rates, irrespective of ischemia (nonischemic: 25.8% vs 11.9% and ischemic: 57.6% vs 23.4%, P-values <0.001). Multivariable cox regression revealed both high CAC scores (HR 2.19 95%CI 1.43-3.35) and ischemia (HR 2.56 95%CI 1.71-3.35) as independent predictors of MACE. Addition of automated CAC scores showed a net reclassification improvement of 0.13(0.022-0.245).

CONCLUSION

Automatically derived CAC scores determined during a single imaging session are independently associated with MACE. This validated DL method could improve risk stratification and subsequently lead to more personalized treatment in patients suspected of CAD.

Identification of Novel Biomarkers and Pathways for Coronary Artery Calcification in Nondiabetic Patients on Hemodialysis Using Metabolomic Profiling

BACKGROUND

A better understanding of the pathophysiology involving coronary artery calcification (CAC) in patients on hemodialysis (HD) will help to develop new therapies. We sought to identify the differences in metabolomics profiles between patients on HD with and without CAC.

METHODS

In this case-control study, nested within a cohort of 568 incident patients on HD, the cases were patients without diabetes with a CAC score >100 (n=51), and controls were patients without diabetes with a CAC score of zero (n=48). We measured 452 serum metabolites in each participant. Metabolites and pathway scores were compared using Mann-Whitney U tests, partial least squares-discriminant analyses, and pathway enrichment analyses.

RESULTS

Compared with controls, cases were older (64±13 versus 42±12 years) and were less likely to be Black (51% versus 94%). We identified three metabolites in bile-acid synthesis (chenodeoxycholic, deoxycholic, and glycolithocholic acids) and one pathway (arginine/proline metabolism). After adjusting for demographics, higher levels of chenodeoxycholic, deoxycholic, and glycolithocholic acids were associated with higher odds of having CAC; comparing the third with the first tertile of each bile acid, the OR was 6.34 (95% CI, 1.12 to 36.06), 6.73 (95% CI, 1.20 to 37.82), and 8.53 (95% CI, 1.50 to 48.49), respectively. These associations were no longer significant after further adjustment for coronary artery disease and medication use. Per 1 unit higher in the first principal component score, arginine/proline metabolism was associated with CAC after adjusting for demographics (OR, 1.83; 95% CI, 1.06 to 3.15), and the association remained significant with additional adjustments for statin use (OR, 1.84; 95% CI, 1.04 to 3.27).

CONCLUSIONS

Among patients on HD without diabetes mellitus, chenodeoxycholic, deoxycholic, and glycolithocholic acids may be potential biomarkers for CAC, and arginine/proline metabolism is a plausible mechanism to study for CAC. These findings need to be confirmed in future studies.

Mesenteric artery calcium scoring: a potential screening method for chronic mesenteric ischemia

Objective

A practical screening tool for chronic mesenteric ischemia (CMI) could facilitate early recognition and reduce undertreatment and diagnostic delay. This study explored the ability to discriminate CMI from non-CMI patients with a mesenteric artery calcium score (MACS).

Methods

This retrospective study included CTAs of consecutive patients with suspected CMI in a tertiary referral center between April 2016 and October 2019. A custom-built software module, using the Agatston definition, was developed and used to calculate the MACS for the celiac artery (CA), superior mesenteric artery (SMA), and inferior mesenteric artery. Scoring was performed by two blinded observers. Interobserver agreement was determined using 39 CTAs scored independently by both observers. CMI was defined as sustained symptom improvement after treatment. Non-CMI patients were patients not diagnosed with CMI after a diagnostic workup and patients not responding to treatment.

Results

The MACS was obtained in 184 patients, 49 CMI and 135 non-CMI. Interobserver agreement was excellent (intraclass correlation coefficient 0.910). The MACS of all mesenteric arteries was significantly higher in CMI patients than in non-CMI patients. ROC analysis of the combined MACS of CA + SMA showed an acceptable AUC (0.767), high sensitivity (87.8%), and high NPV (92.1%), when using a ≥ 29.7 CA + SMA MACS cutoff. Comparison of two CTAs, obtained in the same patient at different points in time with different scan and reconstruction parameters, was performed in 29 patients and revealed significant differences in MACSs.

Conclusion

MACS seems a promising screening method for CMI, but correction for scan and reconstruction parameters is warranted.

Key Points

• A mesenteric artery calcium score obtained in celiac artery and superior mesenteric artery has a high negative predictive value for chronic mesenteric ischemia and could serve as a screening tool.

• Interobserver agreement of the mesenteric artery calcium score is excellent.

• Scan and reconstruction parameters influence the mesenteric artery calcium score and warrant the development of a method to correct for these parameters.

Prediction of coronary artery calcium scoring from surface electrocardiogram in atherosclerotic cardiovascular disease: a pilot study

Aims

Coronary artery calcium (CAC) scoring is an established tool for cardiovascular risk stratification. However, the lack of widespread availability and concerns about radiation exposure have limited the universal clinical utilization of CAC. In this study, we sought to explore whether machine learning (ML) approaches can aid cardiovascular risk stratification by predicting guideline recommended CAC score categories from clinical features and surface electrocardiograms.

Methods and results

In this substudy of a prospective, multicentre trial, a total of 534 subjects referred for CAC scores and electrocardiographic data were split into 80% training and 20% testing sets. Two binary outcome ML logistic regression models were developed for prediction of CAC scores equal to 0 and ≥400. Both CAC = 0 and CAC ≥400 models yielded values for the area under the curve, sensitivity, specificity, and accuracy of 84%, 92%, 70%, and 75%, and 87%, 91%, 75%, and 81%, respectively. We further tested the CAC ≥400 model to risk stratify a cohort of 87 subjects referred for invasive coronary angiography. Using an intermediate or higher pretest probability (≥15%) to predict CAC ≥400, the model predicted the presence of significant coronary artery stenosis (P = 0.025), the need for revascularization (P &lt; 0.001), notably bypass surgery (P = 0.021), and major adverse cardiovascular events (P = 0.023) during a median follow-up period of 2 years.

Conclusion

ML techniques can extract information from electrocardiographic data and clinical variables to predict CAC score categories and similarly risk-stratify patients with suspected coronary artery disease.

Prevalence of coronary artery disease in symptomatic patients with zero coronary artery calcium score in different age population

There is controversy about whether symptomatic population with coronary artery calcium score (CACS) of zero have coronary artery disease (CAD) and the distribution at different ages. We sought to analyze the prevalence of CAD in symptomatic patients with zero CACS, especially in different age groups. We studied patients suspected of CAD and underwent CACS scan and coronary computed tomography angiography (CTA). We included patients with CACS of zero. Clinical data was collected to achieve information on demographic characteristics and risk factors. The presence of plaque and obstructive CAD were analyzed based on coronary CTA. The association between age and the prevalence of plaque and obstructive CAD was evaluated.Overall 5514 patients (51.1% men; mean age 54.40 years) were analyzed, of whom 4120 (74.72%) with normal coronary artery, 1394 (25.28%) with plaque and 514 (9.32%) with obstructive CAD. The prevalence of plaque and obstructive CAD increased significantly with age (p < 0.001). Age was significantly associated with the risk of developing plaque and obstructive CAD in the unadjusted model and multivariate model. Taking age less than 40 as a reference, risk ratios (RRs) of prevalence of plaque increased with age in the multivariate model (RR = 2.353 for 40-50, RR = 6.489 for > 70). RRs of prevalence of obstructive CAD also increased with age in the multivariate model (RR = 2.075 for 40-50, RR = 4.102 for > 70). Quite a few CAD could occur in symptomatic patients with CACS of zero, especially in old patients. Coronary CTA was required to exclude CAD in this cohort.

Atherosclerotic cardiovascular disease prevention in rheumatoid arthritis

Patients with rheumatoid arthritis (RA) are at high risk of developing cardiovascular disease (CVD). Inflammation has a pivotal role in the pathogenesis of CVD. RA is an inflammatory joint disease and, compared with the general population, patients with RA have approximately double the risk of atherosclerotic CVD, stroke, heart failure and atrial fibrillation. Although this high risk of CVD has been known for decades, patients with RA receive poorer primary and secondary CVD preventive care than other high-risk patients, and an unmet need exists for improved CVD preventive measures for patients with RA. This Review summarizes the evidence for atherosclerotic CVD in patients with RA and provides a contemporary analysis of what is known and what needs to be further clarified about recommendations for CVD prevention in patients with RA compared with the general population. The management of traditional CVD risk factors, including blood pressure, lipids, diabetes mellitus and lifestyle-related risk factors, as well as the effects of inflammation and the use of antirheumatic medication on CVD risk and risk management in patients with RA are discussed. The main aim is to provide a roadmap of atherosclerotic CVD risk management and prevention for patients with RA.

Association between coronary atherosclerosis and visceral adiposity index

BACKGROUND AND AIMS

Visceral obesity is a marker of dysfunctional adipose tissue and ectopic fat infiltration. Many studies have shown that visceral fat dysfunction has a close relationship with cardiovascular disease. For a better identification of visceral adiposity dysfunction, the visceral adiposity index (VAI) is used. Coronary artery calcium score (CACS) is known to have a strong correlation with the total plaque burden therefore provides information about the severity of the coronary atherosclerosis. CACS is a strong predictor of cardiac events and it refines cardiovascular risk assessment beyond conventional risk factors. Our aim was to evaluate the association between VAI and CACS in an asymptomatic Caucasian population.

METHODS AND RESULTS

Computed tomography scans of 460 participants were analyzed in a cross-sectional, voluntary screening program. A health questionnaire, physical examination and laboratory tests were also performed. Participants with a history of cardiovascular disease were excluded from the analysis. Mean VAI was 1.41 ± 0.07 in men and 2.00 ± 0.15 in women. VAI showed a positive correlation with total coronary calcium score (r = 0.242) in males but not in females. VAI was stratified into tertiles by gender. In males, third VAI tertile was independently associated with CACS>100 (OR: 3.21, p = 0.02) but not with CACS>0 after the effects of conventional risk factors were eliminated.

CONCLUSION

VAI tertiles were associated with calcium scores and the highest VAI tertile was an independent predictor for the presence of CACS>100 in males but not in females.

Clinical impact of CT coronary angiography without exclusion of small coronary artery segments: a real-world and long-term study

OBJECTIVES

CT coronary angiography (CTCA) has become a valuable diagnostic test in the workup of patients with possible coronary artery disease (CAD). Because of inherent limitations in spatial resolution, epicardial vessels with a small diameter, in general less than 1.5-2 mm, have so far been excluded in studies assessing clinical utility of CTCA. This study sought to assess the clinical impact of CTCA taking into account pathology in small coronary arteries.

METHODS

We conducted a retrospective cohort study of all patients with possible CAD who underwent dual-source CTCA and subsequent invasive coronary angiography (ICA) between January 2010 and July 2017. Patients with an Agatston calcium score ≥1000 were reported separately. Diagnostic accuracy of CTCA on a patient, vessel and segment level was calculated. The physician's therapeutic decision was defined as conservative, medical antianginal treatment or revascularisation. Using ICA as the reference, we calculated the precision of CTCA to replicate these therapeutic recommendations.

RESULTS

In total, 1209 patients underwent both CTCA and ICA. Overall diagnostic performance of CTCA showed a sensitivity of 90% (95% CI 86% to 93%) and specificity of 40% (95% CI 36% to 45%). With regard to clinical decision making, CTCA showed good performance: 91% of patients who were treated medically or by revascularisation were correctly identified. Prevalence of disease in small vessel segments was low: 16% showed significant CAD on ICA. Prevalence of significant disease was 70% in patients with an Agatston score ≥1000: the majority underwent revascularisation.

CONCLUSIONS

From a true patient perspective, without exclusion of smaller coronary artery segments, CTCA allows safe patient management.

Cardiac computed tomography in asymptomatic siblings of patients with premature coronary disease: illustrations and current knowledge

A strong family history of early-onset coronary artery disease (CAD) may represent a substantial predictor of enhanced development of subclinical atherosclerosis in a sibling population. In this population, standard cardiovascular (CV) risk assessment could be underrated with the predictive capacity of the Framingham Risk Score. At present, cardiac computed tomography (CT) provides a high diagnostic performance for the detection of coronary atherosclerosis. Nevertheless, there is a paucity of data concerning the prognostic value of this technology in apparently healthy relatives of patients with premature coronary events. In addition, little is known about the prevalence of CAD in the siblings of patients with premature cardiac events. However, we are convinced that the reclassification of cardiac risk in middle-aged adults at familial risk is a fundamental issue in preventive cardiology. In this manuscript, we report cardiac CT findings in three subjects apparently free of CV disease from families with early-onset CAD. Afterwards, we provide a summary of the current knowledge and discuss the potential usefulness of this non-invasive imaging technique in susceptible individuals. Finally, we hope that this article will help to increase awareness for the management of middle-aged adults from high-risk families.

Subclinical atherosclerosis: how and when to treat it?

Atherosclerosis is a condition characterized by a long, initial, asymptomatic phase. Progression of disease could lead to acute coronary events, such as acute myocardial infarction, unstable angina, or sudden cardiac death. However, there are imaging techniques, namely vascular echography and assessment of coronary calcium, capable to make the diagnosis of atherosclerosis at an early stage. There are several studies demonstrating the ability of statins to delay, and in some situation even revert the progression of this condition. Subclinical atherosclerosis is highly prevalent in people with optimal control of the risk factors, and the imaging techniques have been shown to provide an added value over the traditional risk factors: by identifying directly the condition, these techniques allow the reclassification of low-risk to intermediate- or high-risk subjects, thus directing the primary prevention therapeutic strategies, based on high efficacy statins, aimed at delaying or reversing the progression of the disease.

Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry

AIMS

Symptom-based pretest probability scores that estimate the likelihood of obstructive coronary artery disease (CAD) in stable chest pain have moderate accuracy. We sought to develop a machine learning (ML) model, utilizing clinical factors and the coronary artery calcium score (CACS), to predict the presence of obstructive CAD on coronary computed tomography angiography (CCTA).

METHODS AND RESULTS

The study screened 35 281 participants enrolled in the CONFIRM registry, who underwent ≥64 detector row CCTA evaluation because of either suspected or previously established CAD. A boosted ensemble algorithm (XGBoost) was used, with data split into a training set (80%) on which 10-fold cross-validation was done and a test set (20%). Performance was assessed of the (1) ML model (using 25 clinical and demographic features), (2) ML + CACS, (3) CAD consortium clinical score, (4) CAD consortium clinical score + CACS, and (5) updated Diamond-Forrester (UDF) score. The study population comprised of 13 054 patients, of whom 2380 (18.2%) had obstructive CAD (≥50% stenosis). Machine learning with CACS produced the best performance [area under the curve (AUC) of 0.881] compared with ML alone (AUC of 0.773), CAD consortium clinical score (AUC of 0.734), and with CACS (AUC of 0.866) and UDF (AUC of 0.682), P < 0.05 for all comparisons. CACS, age, and gender were the highest ranking features.

CONCLUSION

A ML model incorporating clinical features in addition to CACS can accurately estimate the pretest likelihood of obstructive CAD on CCTA. In clinical practice, the utilization of such an approach could improve risk stratification and help guide downstream management.

Women With Nonalcoholic Fatty Liver Disease Lose Protection Against Cardiovascular Disease: A Longitudinal Cohort Study

OBJECTIVES

Cardiovascular (CV) disease is the top cause of mortality in patients with nonalcoholic fatty liver disease (NAFLD). Female sex is protective against CV disease. We aimed to determine whether female sex remains a protective factor against CV disease (myocardial infarction, angina, and stroke) in NAFLD.

METHODS

We identified all adults diagnosed with NAFLD in Olmsted County, Minnesota, between 1997 and 2014 and selected an age- and sex-matched (1:4) referent cohort from the general population. NAFLD was ascertained using a code-based algorithm with high validity tested by medical record review. The impact of female sex on incident CV events was examined using Cox proportional hazards regression analysis stratified by standard clinical risk factors.

RESULTS

A total of 3,869 NAFLD and 15,209 age- and sex-matched referent subjects were identified. After a median follow-up time of 7 (range 1-20) years, 3,851 CV events were recorded. Female sex was protective for ischemic CV events in the general population (hazard ratio = 0.71, 95% confidence interval 0.62-0.80, P < 0.001), but the impact was significantly diminished among those with NAFLD (hazard ratio = 0.90, 95% confidence interval 0.74-1.08, P = 0.25), even after stratification by time-dependent CV risk factors and control for diagnostic testing (liver enzymes and ultrasound) during routine medical evaluations, as a surrogate of access to care. Among those with NAFLD, excess events were higher in women than in men: CV disease (18% vs 9%) and mortality (9% vs 6%).

DISCUSSION

Women with NAFLD lose the CV protection conferred by the female sex, and their risk is underestimated by current estimating methods in clinical practice.

Evaluating Association Between Coronary Calcifications Visualized During Invasive Coronary Angiography With Total Mortality

BACKGROUND

High calcium score is independently associated with a greater cardiac event rate. Using a large database of patients who underwent coronary angiography for clinical reasons, we evaluated the association between reported degree of coronary calcification with mortality and baseline risk factors.

METHODS

Using angiographic data of 1917 patients from 1993 to 1997, we studied any association between the locations of coronary calcium that were seen during coronary angiography with coronary artery risk factors. Furthermore, we correlated the locations of calcium with all cause mortality.

RESULTS

A total of 1917 patients who underwent cardiac catheterization from 1993 to 1997 were studied. Total mortality was 22.9%. There was no association between the classic coronary risk factors (history of hypertension, hyperlipidemia, smoking, diabetes mellitus and family history) or race (White, Black, Hispanic, and Asian) with the occurrence of angiographic visible calcium in any location. Furthermore, we did not find any association between the locations of coronary calcium with all cause mortality. (All cause mortality occurred in 21.8% of patients with left main calcification vs. 23.3%, P = 0.63, in 24.6% of patients with left anterior descending artery calcification vs. 22.7%, P = 0.48, in 25.6% of patients with circumflex calcification vs. 23.1%, P = 0.52, in 25.7% of right coronary calcification vs. 22.7%, P = 0.47, in 24.6 of any coronary calcification vs. 22.5%, P = 0.4).

CONCLUSIONS

Race, coronary risk factors, and all cause mortality are not associated with angiographic documented coronary calcification in any location in patients undergoing diagnostic coronary angiography.

Coronary artery calcification score in migraine patients

Epidemiological studies have shown an increased risk of cardiovascular events in migraineurs. The pathophysiological mechanisms of this observation remain largely unknown. Recent genetic and epidemiologic studies suggest, that atherosclerosis might be the overlapping pathophysiological mechanism in migraine and coronary heart disease. The aim of the present study was to evaluate if the increased cardiovascular risk in migraineurs is attributed to an increased coronary artery calcification. For this the coronary artery calcium score was assessed by computed tomography of the heart in 1.437 patients of which 337 were migraineurs. All patients had a similar cardiovascular risk profile, so that the risk for coronary calcifications could be considered similar between migraineurs and non-migraineurs. The results showed no significant differences in the amount of coronary calcifications in patients with or without migraine. This suggests that a more pronounced coronary artery calcification, as a surrogate marker of coronary atherosclerosis, does not underlie the increased cardiovascular risk in migraineurs. A distinct common pathophysiological mechanism in migraine and coronary heart disease such as endothelial dysfunction or vasospasm should be discussed instead. However, it has to be considered, that the coronary artery calcification score does not indicate the total risk of atherosclerotic changes in the coronary arteries.

The assessment of coronary artery disease in patients with end-stage renal disease

Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality among patients with end-stage renal disease (ESRD). Clustering of traditional atherosclerotic and non-traditional risk factors drive the excess rates of coronary and non-coronary CVD in patients with ESRD. Coronary artery disease (CAD) is a key disease process, present in ∼50% of the haemodialysis population ≥65 years of age. Patients with ESRD are more likely to be asymptomatic, posing a challenge to the correct identification of CAD, which is essential for appropriate risk stratification and management. Given the lack of randomized clinical trial evidence in this population, current practice is informed by observational data with a significant potential for bias. For this reason, the most appropriate approach to the investigation of CAD is the subject of considerable discussion, with practice patterns largely varying between different centres. Traditional imaging modalities are limited in their diagnostic accuracy and prognostic value for cardiac events and survival in patients with ESRD, demonstrated by the large number of adverse cardiac outcomes among patients with negative test results. This review focuses on the current understanding of CAD screening in the ESRD population, discussing the available evidence for the use of various imaging techniques to refine risk prediction, with an emphasis on their strengths and limitations.

[An exploration of potential approaches to improve the diagnosis of subclinical atherosclerosis in patients with high cardiovascular risk]

PURPOSE

The search for optimal approaches to the diagnosis of subclinical atherosclerosis using a wide range of traditional and psychosocial risk factors (RFs), as well as clinical and instrumental diagnostic methods in patients (pts) with high or very high cardiovascular (CV) risk.

METHODS

This cross-sectional study enrolled52 pts, aged 40 to 65 years with high or very high CV risk (5-9 and ≥10% by the Systematic Coronary Risk Estimation Scale [SCORE], respectively). All participants underwent cardiac computed tomography (CT)angiography and calcium scoring. Traditional RFs (family history of premature CVD, smoking, overweight/obesity and abdominal obesity, hypertension, type 2 diabetes mellitus, lipids parameters (total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides) and lipids-related markers (apolipoprotein A1, apolipoprotein B, ApoB/ApoA1 ratio), biomarkers of inflammation (high-sensitivity C-reactive protein [hs CRP], fibrinogen), indicator carbohydrate metabolism (glucose), ankle-brachial index, stress-test, carotid plaques according to ultrasound, arterial stiffness were evaluated in all pts. Psychological RFs were evaluated using Hospital Anxiety and Depression Scale and DS-14 for type D personality.

RESULTS

All pts were divided into 2 groups according to the CT angiography results: pts in the main group (n=21) had any non-obstructive lesions or calcium score &gt;0, pts in the control group (n=31) had intact coronary arteries. The groups did not differ in age or gender. It was found that patients with subclinical atherosclerosis significantly more often have a very high (≥10%) CV risk (42.9% vs.16.3%, p&lt;0.05), a long (≥5 years) history of arterial hypertension (47.6% vs. 12.9% , p&lt;0.01) and longer duration of antihypertensive therapy (61.9% vs. 29.0%, p&lt;0.05), higher heart rate in rest (87. ± 14 vs. 77 ± 10 beats/min, p&lt;0.01), increased arterial stiffness according to aortic pulse wave velocity (85.7% vs. 61.3%, p&lt;0.05) and high level of hs-CRP (100% vs. 90.3%, p&lt;0.05).

CONCLUSION

Using in routine clinical practice of additional anamnestic (hypertension lasting ≥ 5 years and the intake of any antihypertensive drugs) and clinical-instrumental parameters (high heart rate in rest, hs CRP and arterial stiffness in pts with high and very high CV risk increases effectiveness of early detection of subclinical atherosclerosis.

[Possibilities of Computed Tomography of the Heart in Risk Stratification and Determination of Optimal Strategy of Primary Prevention of Cardiovascular Complications of Atherosclerosis]

Modern strategies of primary prevention of cardiovascular complications of atherosclerotic etiology are presented in this article: traditional approach based on assessment of risk of development of complication and coming to replace it concept of prevention based on direct application of results of prospective clinical studies. The article contains detailed presentation of new opportunities of computer tomography of the heart allowing to substantially elevate precision of assessment of risk of cardiovascular complications of atherosclerotic etiology. Main attention is paid to the coronary artery calcification index, which determination substantially simpli- fies decision making relative to strategy of primary prevention in clinical practice.

Gender differences in the clinical features and outcomes of patients with coronary artery disease

INTRODUCTION

Women have been at a higher risk for adverse cardiac events following percutaneous coronary intervention (PCI), compared with men. Areas covered: In this review, authors discuss the gender differences that can affect the clinical outcomes after PCI and the important points that can be improved on. Expert commentary: Various factors, such as old age and higher prevalence of comorbidities, have been considered to account for the worse clinical outcomes of PCI in women than in men. In addition, men and women have different presentations of angina or acute coronary syndrome (ACS); atypical symptoms are more frequent in women. This variation of the clinical presentation in women likely contributes to the misdiagnosis or delayed recognition of ischemia, which may explain the worse clinical outcomes. In addition, compared with men, women are less likely to be referred for revascularization for coronary artery disease (CAD) and receive less of these guideline-recommended therapies. Recently, sex differences in cardiovascular events have decreased, especially among stable CAD patients, but sex differences in the clinical outcomes of ACS remain. Further evolution of treatment is expected to narrow these sex differences among patients with CAD and improve the clinical outcomes of both men and women.

Serum Uric Acid Is Independently Associated with Coronary Calcification in an Asymptomatic Population

Detecting early-stage atherosclerosis is an important step towards cardiovascular disease prevention. Coronary artery calcium (CAC) score is a sensitive and non-invasive tool for detecting coronary atherosclerosis. Higher serum uric acid (SUA) levels are known to be associated with cardiovascular diseases. However, there is inconsistency regarding the independence of the association. The aim of our study was to assess the association of CAC and SUA in an asymptomatic population. CAC scans of 281 participants were analyzed in a voluntary screening program. A health questionnaire, physical examination, and laboratory tests were also performed. Participants with a history of cardiovascular disease were excluded from the analysis. 36.3% (n = 102) of the participants had no detectable CAC and 13.9% (n = 39) had a CAC score of > 300. SUA showed positive correlation with CAC score (0.175, p < 0.01). SUA was independently associated with Ca score > 300 (OR 5.17, p = 0.01) after the effects of conventional risk factors were eliminated.