Coronary Computed Tomography Angiography Findings Research Articles

Abstract 4122389: Accumulation of Epicardial Adipose Tissue as a Marker of Diastolic Dysfunction in Patients With Preserved Left Ventricular Ejection Fraction Undergoing Coronary Computed Tomography Angiograph

Background: Left ventricular diastolic dysfunction (LVDD) plays a major role in the pathophysiology of progression to heart failure with preserved left ventricular (LV) ejection fraction (EF). Although epicardial adipose tissue (EAT) is attracting attention for the underlying pathophysiology, whether increased EAT and coronary plaque burden are associated with LVDD is unclear in patients with chronic coronary artery disease (CAD) and preserved LVEF. Aims: To investigate the association between LVDD and EAT accumulation in chronic CAD patients with preserved LVEF. Methods: We included three hundred fourteen chronic CAD and preserved LVEF patients without history of heart failure (mean age: 66±13 years; 48% female). Thoracic tissue doppler echocardiography (TTDE) analysis included LVDD parameters, including left atrial volume index (LAVI), e’, E/e’ and tricuspid regurgitation (TR) velocity. LVDD was defined according to the American Society of Echocardiography guidelines. Coronary computed tomographic angiography (CCTA) analysis included EAT volume index (EAVi), coronary artery calcium score (CACS), and coronary plaque volume (%PV). Patients were divided into three groups according to EAVi: Group A as normal (<68.1 ml/m 2 , n=127), group B as low (68.1-89.4 ml/m 2 , n=95), and group C as high EATVi (>89.4 ml/m 2 , n=92). Multivariable logistic regression analysis was performed to investigate the association between the clinical parameters, TTDE and CCTA findings, and the presence of LVDD. Results: Compared with Group A, group C was older and more frequently suffered from renal dysfunction. Among the three groups, we observed significant differences in LV mass index, e’, E/e’, and CACS. The EAVi correlated with each LVDD diagnostic component, including e’, E/e’, left atrial volume index (all p<0.05), except for tricuspid regurgitation velocity. A multivariate model showed that age [odds ratio (OR), 1.13; 95% CI, 1.06-1.20; p<0.001] and EAVi (OR, 1.03; 95%CI, 1.01-1.04; p<0.05) were independently associated with LVDD, even after adjusting for LV mass index (OR, 1.1; p < 0.05). There was no independent association of CACS or %PV with LVDD (Table). Conclusion: This study demonstrates that accumulation of EAT and LV mass index but not plaque volume were independent predictors of LVDD in chronic CAD patients with preserved LVEF. Further study is needed to investigate whether EAT predicts the development to heart failure in this population.

Abstract 4138517: Role of Coronary Computed Tomographic Angiography in Patients with Discordant Findings on Exercise Stress Echocardiography

Background: Exercise stress echocardiography is routinely used for risk stratification and diagnosis of myocardial ischemia in low-to-intermediate risk patients with suspected coronary artery disease (CAD). Discrepancies between exercise electrocardiography (EKG) and echocardiography (ECHO) are common in clinical practice. Prior literature suggests that patients with discordant stress test results generally have worse outcomes, though the extent of epicardial atherosclerotic disease remains unclear. Coronary computed tomographic angiography (CTA) has gained a class I recommendation for the assessment of atherosclerotic burden per ACC/AHA chest pain guidelines. Using non-invasive fractional flow reserve (CT-FFR), the functional significance of lesions can also be assessed. This study investigates the incidence and burden of CAD in patients with discordant exercise echocardiography findings. Methods: Patients aged 18 or older who had exercise echocardiography followed by CTA from January 1, 2013, to January 31, 2023, were retrospectively enrolled in this study and categorized into two discordant result groups: EKG+/ECHO- or EKG-/ECHO+. Those who failed to achieve the target heart rate or had a paced rhythm/left bundle branch block on baseline EKG were excluded. CTA findings were classified as no CAD, non-obstructive CAD (<50% stenosis), obstructive CAD (≥50% stenosis), and obstructive CAD with FFR+ (<0.75). Results: The study included 198 patients, the majority female (56.0%), with a mean age of 61 ±10 years. Among them, 159 (80.3%) were EKG+/ECHO- and 39 (19.7%) were EKG-/ECHO+ (Table 1). In the EKG+/ECHO- group, 55 (34.6%) had no CAD, 48 (30.2%) had non-obstructive CAD, and 56 (35.2%) had obstructive CAD, out of which 19 (33.9%) were FFR+. In the EKG-/ECHO+ group, 13 (33.3%) had no CAD, 17 (43.6%) had non-obstructive CAD, and 9 (23.2%) had obstructive CAD of which 3 (33.3%) was FFR+. There was no statistically significant difference in the degree of CAD between the two cohorts. Conclusions: The majority of patients with discordant results on exercise echocardiography were found to have CAD. There was no significant difference in the degree of disease between the EKG+/ECHO- or EKG-/ECHO+ groups. Overall, discordant results on exercise echocardiography should not be discounted and warrant further evaluation. CTA provides important information that can impact the diagnosis and further medical management of patients with chest pain and suspected CAD.

Real world data after the implementation of coronary computed tomography angiography in Swedish primary care to rule out coronary artery disease, a cross-sectional study based on pre-test probability

Abstract Background In primary care, most patients with of non-acute chest pain will neither receive a heart related diagnosis nor be referred to a cardiologist. Studies indicate a better cardiovascular prognosis in chest pain patients referred to Coronary Computed Tomography Angiography (CCTA) as compared to risk stratification solely based on risk prediction instruments(1). CCTA is recommended since 2019 for low to intermediate cardiovascular (CV) risk patients(2). In the study setting, the primary care has implemented CCTA as first line test for patients with suspected obstructive coronary artery disease (CAD) and a Pre-Test Probability (PTP) of <15% and any CV risk factor, with PTP mandatorily entered in the referral letters. Purpose To study the outcome of CCTA based on referred PTP values categorised into <5%, 5-15% and >15%. We hypothesized that the presence of significant stenosis would be on par with the mean PTP. Methods In this cross-sectional retrospective cohort study, all consecutive clinical referrals for a CCTA from primary health care centres with a catchment area of ~470 000 inhabitants in the country of Sweden between 1 June 2021 and 7 Dec. 2022, with PTP estimates and completed CCTA were included. CCTA findings were stratified as normal, atheromatosis, or significant stenosis (≥50% coronary lumen obstruction). Patient baseline characteristics routinely registered on the day of CCTA was retrieved from a nationwide quality registry, SWEDEHEART(3). Pearsons’s Chi2 and one-way ANOVA was used to test differences in group distributions. Results During the study period, 381 patients with a PTP had obtained CCTA, of which 75% (n=286) had PTP <15%. The mean age was 60 years (standard deviation [SD] 11), 70% were female, 30% were prescribed lipid-lowering medication and 47% anti-hypertensives (Table 1). In total, the mean PTP was 12.4% (SD 8.7) and in 18% a suspected significant stenosis was identified. (Figure 1). Among patients referred with PTP 5-15%, the presence of suspected significant stenosis was 12% and cardiology consultation was less frequently described than for PTP <5 or ≥15% (14% vs 33% vs 44%, p < 0.001). Conclusions This study indicates that PTP is an efficient means to select patients for CCTA in primary care. In total, about 1/5 had a suspected significant stenosis, which often requires further investigations, and about 4/5 could be reassured that symptoms were not due to coronary artery disease. In 31% atheromatosis was identified, potentially facilitating counselling on CV prevention. We conclude that CCTA is a clinically effective option for primary care physicians to rule out CAD in patients with low PTP.Figure 1Table 1

Assessing the need for coronary angiography in high-risk acute coronary syndrome patients using artificial intelligence and computed tomography

Abstract Background/Introduction The use of coronary computed tomography angiography (CCTA) in managing high-risk acute coronary syndrome (ACS) patients is increasingly common. Yet, its role remains unvalidated in this context, posing challenges to traditional clinical decision-making algorithms. Physicians, accustomed to a hierarchical and structured approach involving symptom assessment, electrocardiograms, and biomarkers for deciding on the necessity of invasive coronary angiography (ICA), now face dilemmas when CCTA results challenge established diagnostic pathways and contradict clinical decisions based on usual criteria. Meanwhile, the potential of artificial intelligence (AI) which processes information in a way fundamentally different from human clinical reasoning, has been shown to aid decision-making in cardiovascular medicine. Yet, it has not been tested in this acute setting. Purpose This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (ChatGPT) in guiding the need for ICA in high-risk ACS patients based on both standard clinical data and CCTA findings. Methods This investigation is a sub-study of a larger research project where high-risk ACS patients (all having a theoretical guideline-based indication for ICA) underwent CCTA prior to ICA. ChatGPT analyzed clinical vignettes containing patient data, electrocardiograms, troponin levels, and CCTA results to determine the necessity of ICA. The AI's recommendations were then compared to actual ICA findings to assess its decision-making accuracy. Results Among 86 patients with a clear indication for ICA, ChatGPT recommended against it for 19 patients, 16 of whom indeed had no significant findings at ICA (Figure). For 67 patients, ChatGPT advised proceeding with ICA, and a significant lesion was confirmed in 58 of them. Consequently, ChatGPT's overall accuracy stood at 86%, with a sensitivity of 95% and a specificity of 64%. The model's negative predictive value was 84%, and its positive predictive value was 87%. Conclusion These preliminary data suggest that ChatGPT can effectively assist in guiding the need for ICA among high-risk ACS patients, potentially reducing unnecessary procedures but further clinical studies to refine AI's role in clinical decision-making are required.ChatGPT's decision as per ICA's results

Impact of waist circumference and abdominal fat distribution on coronary artery disease severity stratified by computed tomography-derived SYNTAX score

Abstract Background Waist circumference (WC) is the most convenient anthropometric measure of obesity. Recently, abdominal fat distribution (AFD) has been identified as a more important risk factor for coronary artery disease (CAD) than the absolute amount of adipose tissue. However, studies examining the impact of body composition indicators (BCIs) on CAD severity are lacking. The computed tomography (CT)-derived SYNTAX score (CT-SXscore) is a feasible method for grading CAD severity based on coronary CT angiography (CTA) findings. Purpose This study was aimed to evaluate the association between BCI and CAD severity using the CT-SXscore. Methods We enrolled consecutive patients with suspected CAD who underwent CTA using a 320-row multidetector CT scanner between October 2014 and March 2020. Plain abdominal CT was also performed at the umbilical level to measure the visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) areas. The total adipose tissue (TAT) area was calculated as the sum of VAT and SAT. To assess the AFD, the VAT/SAT (V/S) ratios were also calculated as the VAT area divided by the SAT area in each case. WC was measured by tracing the body contour at the umbilical level in CT images. The severity of coronary artery stenosis was assessed using CTA. Significant stenosis was defined as a stenosis diameter of ≥50%. The CT-SXscore was calculated in patients with more than one significant stenoses. Each stenotic lesion was evaluated to calculate the CT-SXscore in the same manner as the invasive coronary angiography assessment. We assessed the effects of BCI [i.e., WC, body mass index (BMI), each adipose tissue area, and V/S ratios] on the CT-SXscores. Results 308 eligible patients (mean age, 70.9 ± 10.6 years; 69.5% males) were evaluated. The median values of WC, BMI, TAT, SAT, VAT, and V/S ratio were 84.8 cm, 23.6 kg/m2, 198.2 cm2, 111.8 cm2, 81.0 cm2, and 0.67, respectively. Although WC showed a significant correlation with BMI, TAT, SAT, and VAT area, no correlation was observed between WC and V/S ratio (Figure1). The CT-SXscore showed no association with WC, BMI, and TAT area; however, it exhibited a weak negative correlation with the SAT area and a weak positive correlation with the VAT area. Additionally, a strong correlation was observed between the CT-SXscore and V/S ratio. In the multivariate regression analysis, WC, BMI, TAT, SAT, and VAT were no longer associated with the CT-SXscore after adjusting for traditional coronary risk factors, whereas the V/S ratio remained as the only independent predictor of CAD severity based on the CT-SXscore (Figure2). Conclusions WC was strongly correlated with other BCIs, except for the V/S ratio; however, it could not be identified as a predictive factor of CAD severity. Among the BCIs, only the V/S ratio was an independent predictor of CAD severity, indicating that the AFD revealed by the V/S ratio may be a more important risk factor for progression of CAD than other BCIs.Figure1Figure2

Coronary Computed Tomography Angiography (CTA) Findings in COVID-19.

(1) Background: The novel SARS-CoV-2 virus infects the endothelium. Vasculitis may lead to specific coronary artery wall lesions. Coronary computed tomography angiography (CTA) imaging findings have not been systematically reported. The aim of this study was to describe a case series using CTA. (2) Methods: Patients with recent RT-PCR confirmed SARS-CoV-2 infection referred for coronary CTA for clinical indications (e.g., chest pain, troponin+, and ECG abnormalities) were included. Coronary CTA findings, such as atypical coronary lesions suggestive of vasculitis, perivascular inflammation measured by using pericoronary fat attenuation (PCAT) index, coronary artery disease, and extracoronary findings were collected. (3) Results: Results for 12 patients (54.8 ± 22 years; four females) with SARS-CoV-2 infection within 60 days (four acute care and eight stable patients) are reported. Time to positive RT-PCR was a mean of 15.1 days (range, 0-51). In four acute patients with signs of myocardial injury, plaque rupture (n = 1), hyperenhancing myocardium/MINOCA (n = 1), MINOCA (n = 1), and pericarditis with acute heart failure (LVEF 20%) (n = 1) were found. All (100%) had pericardial effusion and signs of perivascular inflammation. Among eight stable patients, pericardial effusion or perivascular inflammation were found in only two (25%). Coronary artery disease was ruled out in five (62.5%) (4) Conclusions: Coronary CTA is a useful imaging modality in the diagnostic work up of patients with COVID-19 infection, and is able to describe coronary and other cardiac abnormalities.

Resting segmental speckle tracking strain and strain rate in stable coronary artery disease and revascularized myocardial infarction

Patients with acute coronary artery disease (CAD) exhibit reduced global and regional strain and strain rate (S/SR). However, knowledge about segmental S/SR in stable CAD patients is still limited. This study aimed to investigate whether resting segmental S/SR measurements differ in patients with chronic chest pain who have normal coronary arteries or stenotic coronary arteries, and to compare these measurements to those in patients with revascularized myocardial infarction (MI). We prospectively enrolled 510 patients with chronic chest pain referred for coronary computed tomography angiography (CCTA) and 102 patients revascularized after MI. All participants underwent transthoracic echocardiography featuring S/SR analysis. In addition to the patients with MI, patients with suspected CAD based on CCTA findings subsequently underwent invasive coronary angiography (CAG). We assessed global longitudinal strain (GLS) and averaged segmental peak longitudinal strain during systole (PLS), peak systolic strain rate (SRs), peak early diastolic strain rate (SRe), and post systolic shortening (PSS). We also determined functionally reduced segment percentages using differing S/SR cut-off values. There were significant disparities in all average segmental S/SR metrics between the No-CAD and MI groups. SRe was the only S/SR metric that differed significantly between the No-CAD and PCI groups. Differences in SRe, PLS and GLS measurements were observed between the No-CAD and CABG groups. The proportion of diminished segmental S/SR mirrored these findings. For the percentage of pathological segments with varying cut-off values, segmental SRe below 1.5 s− 1 displayed the most marked difference among the four groups (p < 0.001). Revascularized MI patients or those referred to CABG present with diminished segmental S/SR values. However, among patients with chronic chest pain, only segmental SRe discerns subtle disparities between the No-CAD and the PCI group. The diagnostic accuracy of SRe warrants further exploration in subsequent studies.

Prognostic value of metabolic dysfunction-associated steatotic liver disease over coronary computed tomography angiography findings

Prognostic value of metabolic dysfunction-associated steatotic liver disease over coronary computed tomography angiography findings

Pharmacotherapeutic Impact of Computed Tomography Coronary Angiography Findings in Indigenous and Non-Indigenous Population in the Northern Territory, Australia

Pharmacotherapeutic Impact of Computed Tomography Coronary Angiography Findings in Indigenous and Non-Indigenous Population in the Northern Territory, Australia

Predictors and prognostic value of coronary computed tomography angiography for unrecognized myocardial infarction in patients with chronic coronary syndrome

ObjectiveUnrecognized myocardial infarction (UMI) on delayed-enhancement cardiac magnetic resonance imaging (DE-CMR) and coronary computed tomography angiography (CCTA) derived high-risk features provide prognostic information in patients with chronic coronary syndrome (CCS). The study aimed to assess the prognostic value of UMI and predictors of UMI using CCTA in patients with CCS who underwent elective percutaneous coronary intervention (PCI). MethodsThis study enrolled 181 patients with CCS who underwent DE-CMR and CCTA before elective PCI. The CCTA-derived predictors of UMI and the association of baseline clinical characteristics, CCTA findings, and CMR-derived factors, including UMI, with MACEs, defined as death, nonfatal myocardial infarction, unplanned late revascularization, hospitalization for congestive heart failure, and stroke, were investigated. ResultsUMI was detected in 57 (31.5%) patients. ROC analysis revealed that the optimal cut-off values of Agatston score and mean peri-coronary fat attenuation index (FAI) for predicting the presence of UMI were 397 and −69.8, respectively. The multivariable logistic regression analysis revealed that left ventricular mass, Agatston score >397, mean FAI >−69.8, positive remodeling of the target lesion, and CCTA-derived stenosis severity were independent predictors of UMI. Kaplan–Meier analysis revealed that patients with UMI were associated with increased risk of MACEs. The Cox proportional hazards analysis showed post-PCI minimum lumen diameter and the presence of UMI were independent predictors of MACEs. The risk of MACEs significantly increased according to the number of four preprocedural CCTA-relevant features of UMI. ConclusionPreprocedural comprehensive CCTA analysis may help predict the presence of UMI and provide prognostic information in patients with CCS who underwent PCI.

Prognostic value of metabolic dysfunction-associated steatotic liver disease over coronary computed tomography angiography findings: comparison with no-alcoholic fatty liver disease

BackgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) is the proposed name change for non-alcoholic fatty liver disease (NAFLD). This study aimed to investigate the association of cardiovascular disease risk with MASLD and NAFLD in patients who underwent clinically indicated coronary computed tomography angiography (CCTA).MethodsThis retrospective study included 2289 patients (60% men; mean age: 68 years) with no history of coronary artery disease who underwent CCTA. The steatotic liver was defined as a hepatic-to-spleen attenuation ratio of < 1.0 on CT just before CCTA. MASLD is defined as the presence of hepatic steatosis along with at least one of the five cardiometabolic risk factors. Adverse CCTA findings were defined as obstructive and/or high-risk plaques. Major adverse cardiac events (MACE) encompassed composite coronary events, including cardiovascular death, acute coronary syndrome, and late coronary revascularization.ResultsMASLD and NAFLD were identified in 415 (18%) and 368 (16%) patients, respectively. Adverse CCTA findings were observed in 40% and 38% of the patients with MASLD and with NAFLD, respectively. Adverse CCTA findings were significantly associated with MASLD (p = 0.007) but not NAFLD (p = 0.253). During a median follow-up of 4.4 years, 102 (4.4%) MACE were observed. MASLD was significantly associated with MACE (hazard ratio 1.82, 95% CI 1.18–2.83, p = 0.007), while its association with NAFLD was not significant (p = 0.070). By incorporating MASLD into a prediction model of MACE, including the risk score and adverse CCTA findings, global chi-squared values significantly increased from 87.0 to 94.1 (p = 0.008).ConclusionsPatients with MASLD are likely to have a higher risk of cardiovascular disease than those with NAFLD. Concurrent assessment of MASLD during CCTA improves the identification of patients at a higher risk of cardiovascular disease among those with clinically indicated CCTA.

THE USEFULNESS OF CORONARY CTA IN IDENTIFYING CASES OF CORONARY ARTERY DISEASE

Ischemic heart disease is the leading cause of mortality worldwide. A complete diagnosis assessment is essential for patients with suspected CAD since it influences many treatment decisions. Invasive coronary angiography is the gold standard for detecting CAD. Objective: To investigate the diagnostic effectiveness of coronary computed tomography angiography (CTA) in diagnosing coronary artery disease. Method: This cross-sectional research comprised 100 patients with suspected coronary artery disease admitted to the Chaudhary Pervez Ellahi Institute of Cardiology Hospital between March 2022 and March 2023. All patients received a coronary CTA and coronary angiography. The findings of the patients' coronary CTAs and coronary angiography were evaluated. The practical uses of coronary CTA in the identification of CAD were investigated, as well as the identification and coincidence frequency of coronary CTA for assessing the degree of coronary stenosis. Results: There were no significant differences between coronary CTAs and coronary angiographies in detecting positive CAD or coronary stenosis. Regarding identifying coronary artery disease, coronary CTA had a sensitivity of 81.69% (58/71) and a specificity of 75.8% (22/29). The positive predictive value was 90.6% (58/64), while the negative predictive value was 62.8% (22/35). The coronary CTA findings revealed that 18 patients had coronary stenosis of no more than 70% and 40 patients had coronary stenosis of more than 70% among the total 58 patients with coronary artery disease that were found using both coronary angiography and coronary CTA. According to the findings of the coronary angiography, there were 37 patients with coronary stenosis greater than 70% and 21 patients with coronary stenosis below seventy percent. P value p=0.326 indicates that no significant differences were detected. Conclusions: In conclusion, coronary CTA has a beneficial and valuable role in the early detection of CAD. It is non-invasive and simple to use. Furthermore, coronary CTA can precisely find the locations of coronary stenosis and determine the degree of stenosis. As a result, it merits widespread adoption as a CAD screening tool.

A Bridging Vein Connecting Left Atrium and Coronary Sinus: Coronary Computed Tomography Angiography Findings

A Bridging Vein Connecting Left Atrium and Coronary Sinus: Coronary Computed Tomography Angiography Findings

Impact of epicardial adipose tissue on diastolic dysfunction in patients with chronic coronary syndrome and preserved left ventricular ejection fraction.

This study aims to investigate the association between left ventricular diastolic dysfunction (LVDD) and epicardial adipose tissue (EAT) accumulation in patients with chronic coronary syndrome (CCS) and preserved left ventricular ejection fraction (LVEF). The study included 314 patients with preserved LVEF who underwent coronary computed tomographic angiography (CCTA) and thoracic tissue Doppler echocardiography (TTDE). The EAT volume was measured using CCTA. LVDD was categorized into three groups: absent LVDD, undetermined LVDD, and LVDD. Multivariate logistic regression analysis was performed to assess the association between the clinical parameters, TTDE and CCTA findings, and LVDD. Patients (mean age: 66 ± 13 years; 52% men) were divided into LVDD present (30 patients, 9.6%), LVDD absent (219 patients, 69.7%), and LVDD undetermined (65 patients, 20.7%) groups. CCTA showed that patients with LVDD had a significantly higher coronary artery calcium (CAC) score and % plaque volume (%PV) than those without LVDD, whereas the prevalence of obstructive coronary artery disease was comparable between the groups. The EAT volume index correlated with each LVDD diagnostic component, except for tricuspid regurgitation velocity. A multivariate model showed that age [odds ratio (OR), 1.13; P < 0.001] and EAT volume index (OR, 1.02; P = 0.038) were independently associated with LVDD, even after adjusting for left ventricular mass index (OR, 1.05; P = 0.005). There was no significant association between the CAC score and %PV or LVDD. This study demonstrated that EAT volume index and left ventricular mass index were robust predictors of LVDD; however, there was no independent association between coronary atherosclerotic disease burden and LVDD.

Contact with general practice in patients with suspected chronic coronary syndrome before and after CT angiography compared with the general population.

Most patients undergoing coronary computed tomography angiography (CCTA) to diagnose coronary artery disease (CAD) are referred from general practitioners (GP). The burden in contacts to GP in relation to investigation on suspected CAD is unknown. All patients undergoing CCTA in Western Denmark from 2014-2022 were included. CCTA stenosis was defined as diameter stenosis of≥50%. Patients with and without stenosis were matched, in each group, 1:5 to a reference population based on birth-year, gender and municipality using data from national registries. All GP visits were registered in up to five years preceding and one year after the CTA and stratified by gender and age. Charlson comorbidity index (CCI) were calculated in all groups. Of the 62512 patients included, 12886 had a stenosis while 49626 did not. Patients in both groups had a substantially higher GP visit frequency compared to reference populations. In the year of coronary CTA median GP contacts in patients with stenosis was 11 [6-17] vs. 6 [2-11] in the reference population (P<0.001), in patients without stenosis 10 [6-17] vs. 5 [2-11] (P<0.001). These findings were consistent across age and gender. CCI was higher among both patients with and without stenosis compared to reference groups. In patients undergoing CCTA to diagnose CAD, a substantially increased frequency of contacts to GP was observed in the five-year period prior to examination compared to the reference populations regardless of the CCTA findings. Obtaining the CCTA result did not seem to substantially affect the GP visit frequency.

Rationale and design of the CONFIRM2 (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) study

BackgroundIn the last 15 years, large registries and several randomized clinical trials have demonstrated the diagnostic and prognostic value of coronary computed tomography angiography (CCTA). Advances in CT scanner technology and developments of analytic tools now enable accurate quantification of coronary artery disease (CAD), including total coronary plaque volume and low attenuation plaque volume. The primary aim of CONFIRM2, (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) is to perform comprehensive quantification of CCTA findings, including coronary, non-coronary cardiac, non-cardiac vascular, non-cardiac findings, and relate them to clinical variables and cardiovascular clinical outcomes. DesignCONFIRM2 is a multicenter, international observational cohort study designed to evaluate multidimensional associations between quantitative phenotype of cardiovascular disease and future adverse clinical outcomes in subjects undergoing clinically indicated CCTA. The targeted population is heterogenous and includes patients undergoing CCTA for atherosclerotic evaluation, valvular heart disease, congenital heart disease or pre-procedural evaluation. Automated software will be utilized for quantification of coronary plaque, stenosis, vascular morphology and cardiac structures for rapid and reproducible tissue characterization. Up to 30,000 patients will be included from up to 50 international multi-continental clinical CCTA sites and followed for 3–4 years. SummaryCONFIRM2 is one of the largest CCTA studies to establish the clinical value of a multiparametric approach to quantify the phenotype of cardiovascular disease by CCTA using automated imaging solutions.

Left atrioventricular coupling index assessed using cardiac CT as a prognostic marker of cardiovascular death

Abstract Background Although the left atrioventricular coupling index (LACI) measured by cardiovascular magnetic resonance (CMR) is a strong predictor of cardiovascular events, the availability to CMR remains limited in clinical routine. Therefore, it would be useful to validate LACI assessment using other imaging methods such as computed tomography (CT). However, the feasibility of LACI measurement using cardiac CT and its prognostic value are not established. Purpose We aimed to investigate the prognostic value of the LACI assessed by cardiac CT, to predict the occurrence of cardiovascular death in consecutive patients without known CVD referred for coronary CT angiography (CCTA). Methods Between 2010 and 2020, we conducted a single-center study with all consecutive patients without known CVD referred for CCTA. LACI was defined as the ratio of LA to LV end-diastolic volumes. The primary outcome was cardiovascular death. Cox regressions were used to evaluate the association of LACI with the primary outcome after adjustment for traditional risk factors and CCTA findings. Results In 1,444 patients (70±12 years, 43% men), 92 (6.4%) patients experienced all-cause death, including 67 (4.3%) patients with cardiovascular death after a median (IQR) follow-up of 6.8 (5.9-9.1) years. After adjustment for risk factors and CCTA findings, LACI was positively associated with the occurrence of cardiovascular death (adjusted hazard ratio [HR], 1.07 [95% CI, 1.05-1.09] per 1% increment, p&amp;lt;0.001), and all-cause death (adjusted HR, 1.05 [95% CI, 1.03-1.07] per 1% increment, p&amp;lt;0.001). After adjustment, a LACI ≥25% showed the best improvement in model discrimination and reclassification above traditional risk factors and CCTA findings (C-statistic improvement: 0.27; NRI=0.826; IDI=0.209, all p&amp;lt;0.001; LR-test p&amp;lt;0.001). Conclusions LACI measured by CCTA is independently associated with cardiovascular death and all-cause death in patients without known CVD referred for CCTA, with an incremental prognostic value over traditional risk factors and CCTA findings.LACI measurement using CCTASurvival curves stratified by LACI value

Incremental prognostic value of metabolic dysfunction-associated fatty liver disease over coronary computed tomography angiography findings in patients with suspected coronary artery disease

Abstract Background Fatty liver caused by nutritional metabolic disorders regardless of other chronic liver diseases has been proposed as a new liver disease concept, metabolic dysfunction-associated fatty liver disease (MAFLD). With the alteration from non-alcoholic fatty liver disease to MAFLD, MAFLD can be recognized as higher CVD risk. However, the association of MAFLD with adverse coronary CT angiography (CCTA) findings, such as the presence of obstructive and high-risk plaque, and cardiovascular events has not been fully elucidated. Purpose This study was aimed to investigate additional risk stratification benefits of MAFLD diagnosed by hepatic steatosis assessed during CCTA in patients with suspected coronary artery disease (CAD). Methods A total of 2289 patients without a history of CAD who underwent CCTA in our institute from August 2011 and December 2016 were enrolled. Hepatic steatosis, defined on CT as a hepatic-to-spleen attenuation ratio of &amp;lt;1.0, was examined just before the evaluation of CCTA. Adverse CCTA findings were defined as obstructive and/or high-risk plaque. The major adverse cardiovascular events (MACE) were composite coronary events including cardiovascular death, acute coronary syndrome, and late coronary revascularization. The incremental predictive value of MAFLD was evaluated using the global chi-square values and C-statistic. Results Among 2289 patients (60% men, mean age 68 years), MAFLD was identified in 382 (17%) patients. The presence of adverse CCTA findings in patients with MAFLD was significantly greater than that in patients without MAFLD (40% and 35%, p=0.039). During a median follow-up of 4.4 years, 103 (4.4%) MACE were observed. In the multivariate Cox regression analysis, MAFLD was significantly associated with MACE in a model included traditional risk factors and adverse CCTA findings (HR 1.73, 95%CI 1.10–2.72, P = 0.017). The Kaplan–Meier analysis showed that patients with both MAFLD and adverse CCTA findings had highest event rates compared with patients without MAFLD or adverse CTA findings (log rank test, p=0.004). By adding MAFLD to a prediction model including adverse CCTA findings, the global chi-square values and C-statistic significantly increased from 80.6 to 86.2 (P = 0.017) and 0.72 to 0.74 (P = 0.044), respectively. Conclusions MAFLD concurrently assessed during CCTA enables more accurate detection of patients at higher risk of MACE In patients with suspected stable CAD.

Incidence of coronary anomalies in patients with D-transposition of great arteries (D-TGA) after arterial switch operation (ASO)

Abstract Background and purpose D-transposition of great arteries (D-TGA) is a congenital cardiac defect defined by atrioventricular concordance and ventriculo-arterial discordance. Arterial switch operation (ASO) is currently the surgical repair and implies reimplantation of the coronary arteries from the aorta into the neo-aortic root. As such, long-term coronary anomalies and complications are possible and potentially dangerous. Recently, coronary computed tomography angiography (CCTA) has gained a prominent role for characterization of the coronary anatomy in these patients (pts) and its relationship with adjacent structures. However, routine coronary evaluation among asymptomatic pts after ASO remains controverse, as the reported incidence of coronary-related complications is low. The purpose of this study is to perform a descriptive analysis of CCTA findings in pts with D-TGA after ASO. Methods We performed a retrospective single center study that included patients with D-TGA submitted to ASO who underwent CCTA. Demographic, clinical and imaging data were collected. Results We identified 57 pts with D-TGA submitted to ASO. Of these, 39 (68%) performed a CCTA. Mean age of pts was 20.4 (± 3.8) years; 54% were male; 32% had complex D-TGA. In 35 patients (90%), CCTA was performed as part of a routine screening. In 4 (10%) pts CCTA was done due to symptoms or an abnormal non-invasive test suggestive of myocardial ischemia. Eighteen (46%) pts had coronary anomalies: 5 (13%) had an acute angulation at the coronary origin; 13 (33%) pts had anomalous origin of the coronary arteries, ranging from presence of a single coronary artery in 3 (8%) pts, common independent origin from a single sinus of Valsalva in 6 (15%) cases and anomalous origin of the circumflex artery from the right coronary artery (RCA) in 4 (10%) pts. An interarterial course was described in 2 (5%) pts and a retroaortic course was reported in 8 (21%) cases. One patient had anomalous course of the LAD into the right ventricle, a mild calcified ostial stenosis of the left main coronary artery and a chronic total occlusion of the RCA. Conclusions D-TGA patients submitted to ASO have a high incidence of coronary anomalies. Routine screening with CCTA may be justified to identify patients who may be at higher risk of coronary events.

Incremental prognostic value of coronary plaque features on CT angiography in symptomatic patients with obstructive CAD

Abstract Background Several coronary computed tomography angiography (CCTA) studies have shown the strong prognostic value of the coronary artery disease (CAD) burden and the potential interest of the plaque composition analysis. However, the incremental prognostic value of this plaque analysis above the CAD burden in patients with obstructive CAD is not well established. Purpose To assess the incremental prognostic value of the plaque composition analysis using CCTA to predict major adverse cardiovascular events (MACEs) above traditional risk factors and CAD burden in consecutive symptomatic patients with obstructive CAD. Methods In a large multicentric registry, consecutive symptomatic patients without known CAD referred for CCTA were screened between 2008-2020. All patients with obstructive CAD (at least 1 ≥50% stenosis on CCTA) were included. The primary composite outcome was MACE defined by cardiovascular death or nonfatal myocardial infarction. CCTA data were interpreted using multiplanar reconstruction according to the 16-segment coronary artery model. Coronary segments were scored visually for both degree of luminal stenosis and composition of coronary plaque which were classified as noncalcified, mixed, or calcified. To assess the prognostic value of each CCTA findings, different multivariable Cox regression models were used (Model 1: clinical [traditional risk factors]; Model 2: model 1 + CAD burden [number of proximal segments with stenosis ≥50% + number of vessels with obstructive CAD]; Model 3: model 2 + plaques feature [number of segments with noncalcified plaques]). The additional predictive value of each model for predicting MACEs was calculated using C-statistic increment, continuous net reclassification improvement (NRI), and the integrative discrimination index (IDI). Results Of 2,312 patients referred for CCTA, 2,038 (mean age 70±12 years, 46% men) completed follow-up (median 6.7 years; interquartile range: 5.9-9.1 years), and 319 experienced a MACE (14%). After adjustment for traditional risk factors, number of proximal segments with &amp;gt;50% stenosis, number of vessels with obstructive CAD, number of segments with noncalcified were all strongly associated with MACEs (all p&amp;lt;0.001). After adjustment, the addition of the analysis of plaque features (model 3) showed the best improvement in model discrimination and reclassification above a model including traditional risk factors and CAD burden (model 2) (C-statistic improvement=0.03; NRI=45.0%; IDI=9.8%, Chi-2 global=412, all p&amp;lt;0.001; LR-test p&amp;lt;0.001). Conclusions In a large cohort of symptomatic patients with obstructive CAD on CCTA, the analysis of plaque features had an incremental prognostic value to predict MACEs over and above a model combining traditional risk factors and CAD burden.Survival curves for MACEIncremental prognostic value of CCTA