Coronary Artery Calcium Research Articles

#331 Vascular and lipid profile interplays in pediatric CKD patients

Abstract Background and Aims Chronic kidney disease (CKD) is characterized by irreversible kidney damage and/or progressive loss of function. Children with CKD often have additional CVD risk factors, including hypertension and dyslipidemia. They may have myocardial abnormalities and early atherosclerosis evidence, such as coronary artery calcification, abnormal flow-mediated dilation, increased carotid intima-medial thickness (CIMT), and increased aortic stiffness. These abnormalities seem to be, in part, related to the degree of uremia. This study aimed at assessing the interrelationship between vascular status and lipid profile abnormalities in different stages of CKD in pediatric patients. Method This cross-sectional study was done on 99 patients: 33 with stage 5 CKD on regular hemodialysis & 33 pre-dialysis CKD stage 2-4 on conservative management & 33 age and sex matched controls. Anthropometric measures, blood pressure readings, and a lipid profile were done to all groups. Intima media thickness was measured using B-mode ultrasound doppler in both the common and internal carotid arteries (CCA, ICA). Which is a non-invasive way to measure the artery walls and track the early impacts of the atherosclerotic process. Results There was an obvious increase in blood pressure the percentiles in all CKD patients in relation to controls. The waist-to-hip ratio in CKD 2-4 patients was significantly higher than in CKD 5 patients, and both were higher than the controls, with means (±SD) of 1.01 (0.19), 0.88 (0.10), and 0.86 (0.05), respectively. Except for high-density lipoproteins (HDL), the lipid profile, including triglycerides, cholesterol, and low-density lipoproteins (LDL), were all significantly increased when comparing CKD 2-4 to CKD 5, and both higher than the controls: 170.45 (42.04), 166.00 (45.57), and 100.88 (26.19) for triglycerides (p 0.001). The right and left ICA and CCA showed a significant increase in the intimal thickness being higher in the CKD 5 group than the CKD 2-4 and both higher than the controls. On studying the correlation between the duration of CKD in years and other variables, we found a positive correlation with triglycerides (r = 0.409 & p = 0.001) and right CCA IMT (r = 0.271 & p = 0.028); however, the HDL (r = −0.326 & p = 0.007) revealed a negative correlation in all CKD patients. The HDL level showed an inverse correlation with right CCA and ICA. Conclusion Patients with CKD have an increased waist-to-hip ratio, dyslipidemia, and increased carotid IMT, which are factors that lead to the early development of atherosclerosis. Special care should be directed to CKD patients, especially those in stages 2-4, to control their lipid profile and postpone the development of atherosclerosis as much as possible.

#3001 MtDNA copy number correlates to coronary artery calcium score and biological age in kidney failure patients

Abstract Background and Aims Chronic kidney disease (CKD) and kidney failure are connected to increased oxidative stress and vascular calcification, which are indicators for development of comorbidities and mortality outcome. Mitochondrial (mt)DNA copy number has been reported as independent predictor for frailty and mortality outcome of various cardiovascular diseases (CVD) and cancer. We aimed that mtDNA copy number in whole blood of kidney failure patients can be correlated to coronary artery media calcification score and coronary artery calcium (CAC) score and be used as an independent predictor for comorbidities and mortality outcome. Method Quantitative PCR (qPCR) with TaqMan® probes for three mtDNA genes (mtND1, mtND4 and mtCOX1) and two single locus genes on nuclear DNA (hemoglobin subunit beta and 18S), for normalization, is performed on DNA samples isolated from collected blood of 196 kidney transplant donors and 211 recipients at basal timepoint and 32 at 1-year-follow-up timepoint, included in the KaroKidney biobank. Resulting mtDNA copy number is investigated for correlation to CAC score, patient mortality outcome, biological age determined by skin autofluorescence and other clinical parameters. Results In our Swedish kidney transplant cohort we can see statistically significant difference in mtDNA copy number between kidney failure patients (recipients) and healthy controls (donors). No obvious difference between females and males was observed. mtDNA copy number correlates to biological age determined by skin autofluorescence, CAC score and Framingham CVD risk score. In the 32 1-year-follow-up samples we could see significant increase/recovery of mtDNA copy number for male patients compared to their baseline before receiving a transplant. Conclusion In this study we show that mtDNA copy number in kidney failure patients correlates to biological age and CAC score, affirming mtDNA copy number as an independent predictor of frailty in this Swedish cohort of CKD patients. Additionally, we can see that a kidney transplant can lead to a significant increase of mtDNA copy number in blood one year later, suggesting a general increase in health quality.

Artificial Intelligence in Cardiovascular Disease Prevention: Is it Ready for Prime Time?

This review evaluates how Artificial Intelligence (AI) enhances atherosclerotic cardiovascular disease (ASCVD) risk assessment, allows for opportunistic screening, and improves adherence to guidelines through the analysis of unstructured clinical data and patient-generated data. Additionally, it discusses strategies for integrating AI into clinical practice in preventive cardiology. AI models have shown superior performance in personalized ASCVD risk evaluations compared to traditional risk scores. These models now support automated detection of ASCVD risk markers, including coronary artery calcium (CAC), across various imaging modalities such as dedicated ECG-gated CT scans, chest X-rays, mammograms, coronary angiography, and non-gated chest CT scans. Moreover, large language model (LLM) pipelines are effective in identifying and addressing gaps and disparities in ASCVD preventive care, and can also enhance patient education. AI applications are proving invaluable in preventing and managing ASCVD and are primed for clinical use, provided they are implemented within well-regulated, iterative clinical pathways.

#941 Pentraxin-3 as a marker of coronary artery disease in hemodialysis patients

Abstract Background and Aims Pentraxin-3 (PTX3), a novel inflammatory biomarker, has been recognized as a predictor of cardiovascular events in the general population, including coronary artery disease (CAD). Although PTX3 is elevated in dialysis patients, its potential diagnostic value for the estimation of CAD severity is still insufficiently studied. The aim of this study was to evaluate the association between PTX3 and CAD in hemodialysis patients. Method This cross-sectional study included 60 angina-free chronic hemodialysis patients (60% men, mean age 60 ± 11 years, mean dialysis vintage 26 ± 14 months). Coronary artery calcium score (CACS) and coronary computed tomography angiography (CCTA) were performed to evaluate CAD burden and stenosis severity, which was defined as significant if obstructing more than 50% of the vessel lumen. PTX3 was quantified using an enzyme-linked immunosorbent assay kit. Results Significant coronary artery stenosis was detected in 24 (40%) patients, of which the majority (17; 70.83%) had one-vessel disease. PTX3 was 194.82 ± 68.58 ng/mL in patients with significant CAD, whereas 83.55 ± 11.89 ng/mL in those without significant coronary artery stenosis (p = 0.028). PTX3 levels tend to increase in patients with CACS higher than 200 Agatston units, however statistically significant difference was not reached (p = 0.504). PTX3 levels correlated with age (p < 0.05) and c-reactive protein (p = 0.007), while negatively correlated with body mass index (p < 0.05). Conclusion PTX3 is significantly increased in hemodialysis patients with coronary artery disease. Further studies should elucidate if including PTX3 as a marker for detecting CAD prior to invasive imaging could improve cardiovascular risk stratification even in angina-free hemodialysis patients.

Reference ranges for ambulatory heart rate measurements in a middle-aged population

BackgroundElevated heart rate (HR) predicts cardiovascular disease and mortality, but there are no established normal limits for ambulatory HR. We used data from the Swedish CArdioPulmonary Imaging Study to determine...

Association of Lipoprotein(a) with Progression of Coronary Artery Calcification: Retrospective Longitudinal Study.

Atherosclerotic cardiovascular disease (ASCVD) is a major health concern, and lipoprotein(a) (Lp(a)) is an independent risk factor. However, there is limited evidence regarding Lp(a) and the risk of ASCVD in Asian populations. This study aimed to assess the predictive value of changes in coronary artery calcification (CAC) for ASCVD risk associated with Lp(a) level. Participants (n=2,750) were grouped according to their Lp(a) levels, and the association between Lp(a) and CAC progression was examined. CAC progression was defined as the occurrence of incident CAC or a difference ≥2.5 between the square root (√) of baseline and follow-up coronary artery calcium scores (CACSs) (Δ√transformed CACS). To adjust for differences in follow-up periods, Δ√transformed CACS was divided by the follow- up period (in years). Over an average follow-up of 3.07 years, 18.98% of participants experienced CAC progression. Those with disease progression had notably higher Lp(a) levels. Higher Lp(a) tertiles correlated with increased baseline and follow-up CACS, CAC progression (%), and Δ√transformed CACS. Even after adjustment, higher Lp(a) levels were associated with CAC progression. However, annualized Δ√transformed CACS analysis yielded no significant results. This study demonstrated an association between elevated Lp(a) levels and CAC progression in a general population without ASCVD. However, longer-term follow-up studies are needed to obtain meaningful results regarding CAC progression. Further research is necessary to utilize Lp(a) level as a predictor of cardiovascular disease and to establish clinically relevant thresholds specific to the Korean population.

Type 2 diabetes mellitus aggravates coronary atherosclerosis in hypertensive individuals based on coronary CT angiography: a retrospective propensity score-based study.

The effect of type 2 diabetes mellitus (T2DM) on coronary atherosclerosis detected on coronary computed tomography angiography (CCTA) in hypertensive patients has attracted increasing attention. This study investigated the relationships of T2DM with coronary artery plaque characteristics and semiquantitative CCTA scores in hypertensive patients. In this single-center study, 1,700 hypertensive patients, including 850 T2DM [HT(T2DM+)] and 850 non-T2DM [HT(T2DM-)] individuals, were retrospectively analyzed after propensity matching. Plaque type, extent, coronary stenosis, segment involvement score (SIS), segment stenosis score (SSS), and CT-based Leaman score (CT-LeSc) based on CCTA were assessed and compared between the two groups. HT(T2DM+) patients had more coronary segments with calcified plaque (2.08 ± 2.20 vs. 1.40 ± 1.91), mixed plaque (2.90 ± 2.87 vs. 2.50 ± 2.66), nonobstructive stenosis (4.23 ± 2.44 vs. 3.62 ± 2.42), and obstructive stenosis (1.22 ± 2.18 vs. 0.78 ± 1.51), a lower proportion of 1-vessel disease (15.3% vs. 25.5%), a higher proportion of 3-vessel disease (59.6% vs. 46.7%), and higher SIS (5.5 ± 3.1 vs. 4.4 ± 3.0), SSS (10.3 ± 8.5 vs. 7.7 ± 7.1), and CT-LeSc (9.4 ± 5.6 vs. 7.9 ± 5.2) than HT(T2DM-) patients (all P-values <0.05). Multivariable analysis revealed that T2DM was an independent risk factor for calcified plaque [odds ratio (OR) = 2.213], obstructive coronary artery disease (CAD) (OR = 1.271), multivessel disease (OR = 1.838), SIS > 4 (OR = 1.910), SSS > 6 (OR = 1.718), and CT-LeSc > 5 (OR = 1.584) in hypertension population (all P-values <0.05). T2DM was independently associated with the presence of calcified coronary artery plaque and increased the risk of obstructive CAD, multivessel disease, and CT-LeSc > 5 in hypertensive patients. More attention should be given to the assessment and management for coronary atherosclerosis in hypertensive patients with T2DM, as this population may have a higher risk of cardiovascular events.

Assessing mortality risk in Type 2 Diabetes patients with prolonged ASCVD risk factors: the inclusive Poh-Ai predictive scoring system with CAC Score integration

PurposeTo enhance the predictive risk model for all-cause mortality in individuals with Type 2 Diabetes (T2DM) and prolonged Atherosclerotic Cardiovascular Disease (ASCVD) risk factors. Despite the utility of the Coronary Artery Calcium (CAC) score in assessing cardiovascular risk, its capacity to predict all-cause mortality remains limited.MethodsA retrospective cohort study included 1929 asymptomatic T2DM patients with ASCVD risk factors, aged 40–80. Variables encompassed demographic attributes, clinical parameters, CAC scores, comorbidities, and medication usage. Factors predicting all-cause mortality were selected to create a predictive scoring system. By using stepwise selection in a multivariate Cox proportional hazards model, we divided the patients into three risk groups.ResultsIn our analysis of all-cause mortality in T2DM patients with extended ASCVD risk factors over 5 years, we identified significant risk factors, their adjusted hazard ratios (aHR), and scores: e.g., CAC score > 1000 (aHR: 1.57, score: 2), CAC score 401–1000 (aHR: 2.05, score: 2), and more. These factors strongly predict all-cause mortality, with varying risk groups (e.g., very low-risk: 2.0%, very high-risk: 24.0%). Significant differences in 5-year overall survival rates were observed among these groups (log-rank test < 0.001).ConclusionThe Poh-Ai Predictive Scoring System excels in forecasting mortality and cardiovascular events in individuals with Type 2 Diabetes Mellitus and extended ASCVD risk factors.

Relationship Between Clinical Parameters and Histological Features of Epicardial Adipose Tissue and Aortic Valve Calcification Assessed on Computed Tomography.

The relationships of the clinical and biological attributes of epicardial adipose tissue (EAT) with aortic valve calcification (AVC) have not been characterized. We evaluated the relationships of the clinical and histological features of EAT with AVC assessed using computed tomography (CT).Methods and Results: We enrolled 43 patients undergoing cardiac CT examination prior to elective cardiac surgery in whom AVC was identified on CT. EAT volume and density, coronary calcium score (CCS), AVC score (AVCS), and coronary atherosclerosis on CT angiography were evaluated in each patient. During cardiac surgery, 2 EAT samples were obtained for immunohistochemistry. The number of CD68- and CD11c-positive macrophages and osteocalcin-positive cells was counted in 6 random high-power fields of EAT sections. EAT density, but not EAT volume normalized to body surface area, was positively correlated with the number of macrophages and osteocalcin-positive cells in EAT. There was a positive correlation between ln(AVCS), but not ln(CCS+1), and the number of macrophages and osteocalcin-positive cells in EAT. Multivariate analysis revealed significant positive correlations for ln(AVCS) with EAT density (β=0.42; P=0.0072) and the number of CD68-positive macrophages (β=0.57; P=0.0022), CD11c-positive macrophages (β=0.62; P=0.0003), and osteocalcin-positive cells (β=0.52; P=0.0021) in EAT. Inflammation and osteogenesis in EAT, reflected by high CT density, are associated with the severity of AVC representing aortic valve degeneration.

CCT‘S CRYSTAL BALL: PREDICTING CARDIOVASCULAR RISK IN AORTIC VALVE STENOSIS PATIENTS UNDERGOING VALVE REPLACEMENT

Abstract Background and Aims Currently, computed tomography cardiac imaging (CTCI) plays a fundamental role in the pre–procedural planning of degenerative–calcific aortic valve stenosis(AS) correction. However, its prognostic role in assessing mortality and major adverse cardiovascular events (MACE) has not been extensively explored. CTCI allows for the evaluation of coronary artery calcification(CAC), mitral annular calcifications (MAC), aortic valve calcifications (CVA), and thoracic aorta calcifications (CAT). The aim of our study was to assess whether the presence and extent of CAC, MAC, CVA, and CAT could influence non–cardiovascular mortality (NCM), cardiovascular mortality (CM), and MACE in patients undergoing valve replacement(VR). Materials and Methods We collected retrospectivelly clinical and instrumental data and reviewed CTCI using a semi–quantitative approach. CACs were classified according to the visual 2022 Coronary Artery Disease–Reporting and Data System. MACs were defined following the Guerrero et al. study, CVAs according to the Win Registry and CATs were assessed in the ascending aorta, aortic arch, and descending aorta according to the Vos classification. Results 244 patients(59% male, mean age 80.1±6.6 years), with 91% undergoing transfemoral VR, were enrolled(2016–2018). CM was significantly higher in patients with hypertension,cerebro/peripheral vascular disease, stage IV–V renal insufficiency and history of atrial fibrillation (p=0.012,p&amp;lt;0.001,p=0.005, p=0.034 and p=0.024, respectively). CM was also more pronounced in patients with STS SCORE≥6.7±5.2 and EuroSCOREII≥ 5.5±5.8(p=0.016 and p=0.037). Extensive CAC(p=0.019), a MAC score&amp;gt;7(p=0.051), moderate and severe AVC (p=0.029 and p=0.053) and TAC&amp;gt;270° in aortic arch(p=0.019) were linked to CM. In multivariate analysis, a high MAC score and the presence of moderate AVC persisted as risk factors for CM. The presence of a MAC score &amp;gt;7(p=0.006) and the extension of descending TAC &amp;gt;1.5 mm (p=0.034) were associated with an increased risk of NCM.The presence of extensive TAC (≥270°) measured in the aortic arch and descending aorta were associated with MACE (p=0.034 and p=0.0504 respectively). Conclusions CTCI emerges as a crucial tool for evaluating prognostic risk in patients undergoing VR for AS. This type of evaluation can assist clinicians in pre–procedural planning and patient management, allowing for better identification of high–risk patients and optimization of therapeutic strategies

CORONARY INFLAMMATION ON CHEST COMPUTED TOMOGRAPHY AND COVID–19 MORTALITY

Abstract Aims The main factors associated with coronavirus disease–19 (COVID–19) mortality are age, comorbidities, pattern of inflammatory response and SARS–CoV–2 lineage involved in infection. However, the clinical course of the disease is extremely heterogeneous, and reliable biomarkers predicting adverse prognosis are lacking. Our aim was to elucidate the prognostic role of a novel marker of coronary artery disease inflammation, peri–coronary adipose tissue attenuation (PCAT), available from high–resolution chest computed tomography (HRCT), in COVID–19 patients with severe disease requiring hospitalization. Methods and Results Two distinct groups of patients, admitted to Parma University Hospital in Italy with COVID–19 in March 2020 and March 2021 (first and third wave peaks of COVID–19 pandemic in Italy, with prevalence of wild–type and B.1.1.7 SARS–CoV–2 lineage, respectively) were retrospectively enrolled. The primary endpoint was in–hospital mortality. Demographic, clinical, laboratory, HRCT data and coronary artery HRCT features (coronary calcium score and PCAT attenuation) were collected to establish which variables were associated with mortality. Among the 769 patients enrolled, 555 (72%) were discharged alive and 214 (28%) died. In multivariable logistic regression analysis age (p&amp;lt;0.001), number of chronic illnesses (p&amp;lt;0.001), smoking habit (p=0.006), P/F ratio (p=0.001), platelet count (p=0.002), blood creatinine (p&amp;lt;0.001), non–invasive mechanical ventilation (p&amp;lt;0.001), HRCT visual score (p&amp;lt;0.001) and PCAT (p&amp;lt;0.001), but not the calcium score, were independently associated with in–hospital mortality. Conclusion Coronary inflammation, measured with PCAT on HRCT, was independently associated with higher mortality in patients with severe COVID–19, while the pre–existent coronary atherosclerotic burden was not associated with adverse outcomes after adjustment for covariates.

Physical Activity and Progression of Coronary Artery Calcification in Men and Women

ImportancePrior cross-sectional studies have suggested that very high levels of physical activity (PA) are associated with a higher prevalence of coronary artery calcium (CAC). However, less is known regarding the association between high-volume PA and progression of CAC over time.ObjectiveTo explore the association between PA (measured at baseline and during follow-up) and the progression of CAC over time.Design, Setting, and ParticipantsThis cohort study included data from 8771 apparently healthy men and women 40 years and older who had multiple preventive medicine visits at the Cooper Clinic (Dallas, Texas), with a mean (SD) follow-up time of 7.8 (4.7) years between the first and last clinic visit. Participants with reported PA and CAC measurements at each visit during 1998 to 2019 were included in the study. Data were analyzed from March 2023 to February 2024.ExposuresPA reported at baseline and follow-up, examined continuously per 500 metabolic equivalent of task minutes per week (MET-min/wk) and categorically: less than 1500, 1500 to 2999, 3000 or more MET-min/wk.Main Outcomes and MeasuresNegative binomial regression was used to estimate the rate of mean CAC progression between visits, with potential modification by PA volume, calculated as the mean of PA at baseline and follow-up. In addition, proportional hazards regression was used to estimate hazard ratios for baseline PA as a predictor of CAC progression to 100 or more Agatston units (AU).ResultsAmong 8771 participants, the mean (SD) age at baseline was 50.2 (7.3) years for men and 51.1 (7.3) years for women. The rate of mean CAC progression per year from baseline was 28.5% in men and 32.1% in women, independent of mean PA during the same time period. That is, the difference in the rate of CAC progression per year was 0.0% per 500 MET-min/wk for men and women (men: 95% CI, −0.1% to 0.1%; women: 95% CI, −0.4% to 0.5%). Moreover, baseline PA was not associated with CAC progression to a clinically meaningful threshold of 100 AU or more over the follow-up period. The hazard ratio for a baseline PA value of 3000 or more MET-min/wk vs less than 1500 MET-min/wk to cross this threshold was 0.84 (95% CI, 0.66 to 1.08) in men and 1.16 (95% CI, 0.57 to 2.35) in women.Conclusions and RelevanceThis study found that PA volume was not associated with progression of CAC in a large cohort of healthy men and women who were initially free of overt cardiovascular disease.

Enhancing cardiovascular risk prediction through AI-enabled calcium-omics

Whole-heart coronary calcium Agatston score is a well-established predictor of major adverse cardiovascular events (MACE), but it does not account for individual calcification features related to the pathophysiology of the disease (e.g., multiple-vessel disease, spread of the disease along the vessel, stable calcifications, numbers of lesions, and density). We used novel, hand-crafted calcification features (calcium-omics); Cox time-to-event modeling; elastic net; and up and down synthetic sampling methods for imbalanced data, to assess MACE risk. We used 2457 CT calcium score (CTCS) images enriched for MACE events from our large no-cost CLARIFY program (ClinicalTrials.gov Identifier: NCT04075162). Among calcium-omics features, numbers of calcifications, LAD mass, and diffusivity (a measure of spatial distribution) were especially important determinants of increased risk, with dense calcification (> 1000HU, stable calcifications) associated with reduced risk Our calcium-omics model with (training/testing, 80/20) gave C-index (80.5%/71.6%) and 2-year AUC (82.4%/74.8%). Although the C-index is notoriously impervious to model improvements, calcium-omics compared favorably to Agatston and gave a significant difference (P < 0.001). The calcium-omics model identified 73.5% of MACE cases in the high-risk group, a 13.2% improvement as compared to Agatston, suggesting that calcium-omics could be used to better identity candidates for intensive follow-up and therapies. The categorical net-reclassification index was NRI = 0.153. Our findings from this exploratory study suggest the utility of calcium-omics in improved risk prediction. These promising results will pave the way for more extensive, multi-institutional studies of calcium-omics.

Artificial intelligence-enhanced electrocardiography analysis as a promising tool for predicting obstructive coronary artery disease in patients with stable angina.

The clinical feasibility of artificial intelligence (AI)-based electrocardiography (ECG) analysis for predicting obstructive coronary artery disease (CAD) has not been sufficiently validated in patients with stable angina, especially in large sample sizes. A deep learning framework for the quantitative ECG (QCG) analysis was trained and internally tested to derive the risk scores (0-100) for obstructive CAD (QCGObstCAD) and extensive CAD (QCGExtCAD) using 50 756 ECG images from 21 866 patients who underwent coronary artery evaluation for chest pain (invasive coronary or computed tomography angiography). External validation was performed in 4517 patients with stable angina who underwent coronary imaging to identify obstructive CAD. The QCGObstCAD and QCGExtCAD scores were significantly increased in the presence of obstructive and extensive CAD (all P < 0.001) and with increasing degrees of stenosis and disease burden, respectively (all P trend < 0.001). In the internal and external tests, QCGObstCAD exhibited a good predictive ability for obstructive CAD [area under the curve (AUC), 0.781 and 0.731, respectively] and severe obstructive CAD (AUC, 0.780 and 0.786, respectively), and QCGExtCAD exhibited a good predictive ability for extensive CAD (AUC, 0.689 and 0.784). In the external test, the QCGObstCAD and QCGExtCAD scores demonstrated independent and incremental predictive values for obstructive and extensive CAD, respectively, over that with conventional clinical risk factors. The QCG scores demonstrated significant associations with lesion characteristics, such as the fractional flow reserve, coronary calcification score, and total plaque volume. The AI-based QCG analysis for predicting obstructive CAD in patients with stable angina, including those with severe stenosis and multivessel disease, is feasible.

User-defined outcomes of the Danish cardiovascular screening (DANCAVAS) trial: A post hoc analyses of a population-based, randomised controlled trial.

The Danish cardiovascular screening (DANCAVAS) trial, a nationwide trial designed to investigate the impact of cardiovascular screening in men, did not decrease all-cause mortality, an outcome decided by the investigators. However, the target group may have varied preferences. In this study, we aimed to evaluate whether men aged 65 to 74 years requested a CT-based cardiovascular screening examination and to assess its impact on outcomes determined by their preferences. This is a post hoc study of the randomised DANCAVAS trial. All men 65 to 74 years of age residing in specific areas of Denmark were randomised (1:2) to invitation-to-screening (16,736 men, of which 10,471 underwent screening) or usual-care (29,790 men). The examination included among others a non-contrast CT scan (to assess the coronary artery calcium score and aortic aneurysms). Positive findings prompted preventive treatment with atorvastatin, aspirin, and surveillance/surgical evaluation. The usual-care group remained unaware of the trial and the assignments. The user-defined outcome was based on patient preferences and determined through a survey sent in January 2023 to a random sample of 9,095 men from the target group, with a 68.0% response rate (6,182 respondents). Safety outcomes included severe bleeding and mortality within 30 days after cardiovascular surgery. Analyses were performed on an intention-to-screen basis. Prevention of stroke and myocardial infarction was the primary motivation for participating in the screening examination. After a median follow-up of 6.4 years, 1,800 of 16,736 men (10.8%) in the invited-to-screening group and 3,420 of 29,790 (11.5%) in the usual-care group experienced an event (hazard ratio (HR), 0.93 (95% confidence interval (CI), 0.88 to 0.98; p = 0.010); number needed to invite at 6 years, 148 (95% CI, 80 to 986)). A total of 324 men (1.9%) in the invited-to-screening group and 491 (1.7%) in the usual-care group had an intracranial bleeding (HR, 1.17; 95% CI, 1.02 to 1.35; p = 0.029). Additionally, 994 (5.9%) in the invited-to-screening group and 1,722 (5.8%) in the usual-care group experienced severe gastrointestinal bleeding (HR, 1.02; 95% CI, 0.95 to 1.11; p = 0.583). No differences were found in mortality after cardiovascular surgery. The primary limitation of the study is that exclusive enrolment of men aged 65 to 74 renders the findings non-generalisable to women or men of other age groups. In this comprehensive population-based cardiovascular screening and intervention program, we observed a reduction in the user-defined outcome, stroke and myocardial infarction, but entail a small increased risk of intracranial bleeding. ISRCTN Registry number, ISRCTN12157806 https://www.isrctn.com/ISRCTN12157806.

Sex-based differences and risk of recurrence in patients with atrial fibrillation undergoing pulmonary vein isolation

IntroductionStudies suggest increased likelihood of atrial fibrillation (AF) recurrence after catheter ablation (CA) in women than in men, indicating that sex may be an independent risk factor for recurrence. Nevertheless, the influence of sex on AF recurrence and underlying mechanisms remains unclear. MethodsRetrospective, single-centre study including patients undergoing AF CA between 2017 and 2021. Late recurrence (LR) was defined as AF recurrence ≥90 days after ablation, whereas early recurrence (ER) occurred within 90 days. Results656 patients (32% women) were included, with a median follow-up period of 26 months. Compared to men, women undergoing CA were older, had higher body mass indexes, and had higher rates of hypertension, thyroid dysfunction, and valvular disease. Women also had increased LR risk after CA (HR 1.76, 95% CI [1.19, 2.59]). A time-split multivariable analysis at one year of follow-up showed no difference in LR risk during the first 12 months after CA (HR 1.19, 95% CI [0.73, 1.94]); however, LR risk increased in women (HR 2.90, 95% CI [1.68, 5.01]) after 12 months. In a sex-stratified analysis, coronary calcium score (CCS) >100 was associated with increased LR risk in men (HR 1.81, 95% CI [1.06, 3.08]), but not in women. Cardiac adipose tissue volume was not associated with increased LR risk. ConclusionsFewer women underwent CA than men and LR was more frequent in women, particularly one year after the procedure. CCS was associated with increased LR risk in men.

Coronary sodium [18F]fluoride activity predicts outcomes post-CABG: a comparative evaluation with conventional metrics.

The value of preoperative multidisciplinary approach remains inadequately delineated in forecasting postoperative outcomes of patients undergoing coronary artery bypass grafting (CABG). Herein, we aimed to ascertain the efficacy of multi-modality cardiac imaging in predicting post-CABG cardiovascular outcomes. Patients with triple coronary artery disease underwent cardiac sodium [18F]fluoride ([18F]NaF) positron emission tomography/computed tomography (PET/CT), coronary angiography, and CT-based coronary artery calcium scoring before CABG. The maximum coronary [18F]NaF activity (target-to-blood ratio [TBR]max) and the global coronary [18F]NaF activity (TBRglobal) was determined. The primary endpoint was perioperative myocardial infarction (PMI) within 7-day post-CABG. Secondary endpoint included major adverse cardiac and cerebrovascular events (MACCEs) and recurrent angina. This prospective observational study examined 101 patients for a median of 40 months (interquartile range: 19-47 months). Both TBRmax (odds ratio [OR] = 1.445; p = 0.011) and TBRglobal (OR = 1.797; P = 0.018) were significant predictors of PMI. TBRmax>3.0 (area under the curve [AUC], 0.65; sensitivity, 75.0%; specificity, 56.8%; p = 0.036) increased PMI risk by 3.661-fold, independent of external confounders. Kaplan-Meier test revealed a decrease in MACCE survival rate concomitant with an escalating TBRmax. TBRmax>3.6 (AUC, 0.70; sensitivity, 76.9%; specificity, 73.9%; p = 0.017) increased MACCEs risk by 5.520-fold. Both TBRmax (hazard ratio [HR], 1.298; p = 0.004) and TBRglobal (HR = 1.335; p = 0.011) were significantly correlated with recurrent angina. No significant associations were found between CAC and SYNTAX scores and between PMI occurrence and long-term MACCEs. Quantification of coronary microcalcification activity via [18F]NaF PET displayed a strong ability to predict early and long-term post-CABG cardiovascular outcomes, thereby outperforming conventional metrics of coronary macrocalcification burden and stenosis severity. The trial was registered with the Chinese Clinical Trial Committee (number: ChiCTR1900022527; URL: www.chictr.org.cn/showproj.html?proj=37933 ).

High Prevalence of Myocardial Bridging Detected in an Indonesian Population Using Multi-Detector Computed Tomography.

Background and Objectives: Myocardial bridging (MB) is still not yet considered a significant finding in Indonesia both radiographically and clinically. Hence, this article aims to assess the prevalence of MB using multi-detector computed tomography (MDCT) and look at factors contributing to stenosis amongst patients with MB. Materials and Methods: This study is cross-sectional in a single centre, with consecutive sampling, looking at all patients who underwent a multi-detector computed tomography (MDCT) scan from February 2021 until February 2023. GraphPad Prism version 9.0.0 for Windows (GraphPad Software, Boston, MA, USA) was used to analyse the results. Results: There are 1029 patients with an MB, yielding a prevalence of 44.3% (95%CI 42.3-46.4). The left anterior descending vessel is the most commonly implicated, with 99.6%. Among those with stenosis, the middle portion of the bridging vessel is the most common site of stenosis (n = 269), followed by the proximal portion (n = 237). The severity of stenosis is more often moderate, with 30-50% (n = 238). Females (odds ratio [OR] of 1.8, 95%CI 1.4-2.3; p-value < 0.0001), older age (t-value 5.6, p-value < 0.0001), symptomatic patients (OR 1.4, 95% CI 1.1-1.9; p-value = 0.013), and higher mean coronary artery calcium score (t-value 11.3, p-value < 0.0001) are more likely to have stenosis. The degree of stenosis is significantly higher in the proximal stenosis group than in the middle stenosis group (t-value 27, p-value < 0.0001). Conclusions: Our research demonstrates that MB may prevent atheromatosis of the coronary segment distal to the MB and predispose the development of atherosclerosis in the section proximal to the bridge.

Long-term ambient air pollution and coronary atherosclerosis: Results from the Swedish SCAPIS study

Background and aimsDespite firm evidence for an association between long-term ambient air pollution exposure and cardiovascular morbidity and mortality, results from epidemiological studies on the association between air pollution exposure and atherosclerosis have not been consistent. We investigated associations between long-term low-level air pollution exposure and coronary atherosclerosis. MethodsWe performed a cross-sectional analysis in the large Swedish CArdioPulmonary bioImaging Study (SCAPIS, n = 30 154), a random general population sample. Concentrations of total and locally emitted particulate matter <2.5 μm (PM2.5), <10 μm (PM10), and nitrogen oxides (NOx) at the residential address were modelled using high-resolution dispersion models. We estimated associations between air pollution exposures and segment involvement score (SIS), coronary artery calcification score (CACS), number of non-calcified plaques (NCP), and number of significant stenoses, using ordinal regression models extensively adjusted for potential confounders. ResultsMedian 10-year average PM2.5 exposure was 6.2 μg/m3 (range 3.5–13.4 μg/m3). 51 % of participants were women and 51 % were never-smokers. None of the assessed pollutants were associated with a higher SIS or CACS. Exposure to PM2.5 was associated with NCP (adjusted OR 1.34, 95 % CI 1.13, 1.58, per 2.05 μg/m3). Associations with significant stenoses were inconsistent. ConclusionsIn this large, middle-aged general population sample with low exposure levels, air pollution was not associated with measures of total burden of coronary atherosclerosis. However, PM2.5 appeared to be associated with a higher prevalence of non-calcified plaques. The results suggest that increased risk of early-stage atherosclerosis or rupture, but not increased total atherosclerotic burden, may be a pathway for long-term air pollution effects on cardiovascular disease.

Carotid artery calcium score: Definition, classification, application, and limits.

In the current paper, the "carotid artery calcium score" method is presented with the target to offer a metric method to quantify the amount of calcification in the carotid artery. The Volume of Interest (VOI) should be extracted and those voxels, with a Hounsfield Unit (HU) value ≥130, should be considered. The total weight value is determined by calculating the sum of the HU attenuation values of all voxels with values ≥130 HU. This value should be multiplied by the conversion factor ("or voxel size") and divided by a weighting factor, the attenuation threshold to consider a voxel as calcified (and therefore 130 HU): this equation determines the Carotid Artery Calcium Score (CACS). In order to provide the demonstration of the potential feasibility of the model, the CACS was calculated in 131 subjects (94 males; mean age 72.7years) for 235 carotid arteries (in 27 subjects, unilateral plaque was present) considered. The CACS value ranged from 0.67 to 11716. A statistically significant correlation was found (rho value = 0.663, p value = .0001) between the CACS in the right and left carotid plaques. Moreover, a statistically significant correlation between the age and the total CACS was present (rho value = 0.244, p value = .005), whereas no statistically significant difference was found in the distribution of CACS by gender (p = .148). The CACS was also tested at baseline and after contrast and no statistically significant difference was found. In conclusion, this method is of easy application, and it weights at the same time the volume and the degree of calcification in a unique parameter. This method needs to be tested to verify its potential utility, similar to the coronary artery calcium score, for the risk stratification of the occurrence of cerebrovascular events of the anterior circulation. Further studies using this new diagnostic tool to determine the prognostic value of carotid calcium quantification are needed.