scholarly journals Phenotypic Clustering of Patients With Newly Diagnosed Coronary Artery Disease Using Cardiovascular Magnetic Resonance and Coronary Computed Tomography Angiography

2021 ◽  
Vol 8 ◽  
Author(s):  
Théo Pezel ◽  
Thierry Unterseeh ◽  
Thomas Hovasse ◽  
Anouk Asselin ◽  
Thierry Lefèvre ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Cluster Analysis ◽  
Coronary Artery ◽  
Magnetic Resonance ◽  
Coronary Computed Tomography Angiography ◽  
Newly Diagnosed ◽  
Inducible Ischemia ◽  
Artery Disease ◽  
Stress Cmr

Background: Epidemiological characteristics and prognostic profiles of patients with newly diagnosed coronary artery disease (CAD) are heterogeneous. Therefore, providing individualized cardiovascular (CV) risk stratification and tailored prevention is crucial.Objective: Phenotypic unsupervised clustering integrating clinical, coronary computed tomography angiography (CCTA), and cardiac magnetic resonance (CMR) data were used to unveil pathophysiological differences between subgroups of patients with newly diagnosed CAD.Materials and Methods: Between 2008 and 2020, consecutive patients with newly diagnosed obstructive CAD on CCTA and further referred for vasodilator stress CMR were followed for the occurrence of major adverse cardiovascular events (MACE), defined by cardiovascular death or non-fatal myocardial infarction. For this exploratory work, a cluster analysis was performed on clinical, CCTA, and CMR variables, and associations between phenogroups and outcomes were assessed.Results: Among 2,210 patients who underwent both CCTA and CMR, 2,015 (46% men, mean 70 ± 12 years) completed follow-up [median 6.8 (IQR 5.9–9.2) years], in which 277 experienced a MACE (13.7%). Three mutually exclusive and clinically distinct phenogroups (PG) were identified based upon unsupervised hierarchical clustering of principal components: (PG1) CAD in elderly patients with few traditional risk factors; (PG2) women with metabolic syndrome, calcified plaques on CCTA, and preserved left ventricular ejection fraction (LVEF); (PG3) younger men smokers with proximal non-calcified plaques on CCTA, myocardial scar, and reduced LVEF. Using survival analysis, the occurrence of MACE, cardiovascular mortality, and all-cause mortality (all p < 0.001) differed among the three PG, in which PG3 had the worse prognosis. In each PG, inducible ischemia was associated with MACE [PG1, Hazards Ratio (HR) = 3.09, 95% CI, 1.70–5.62; PG2, HR = 3.62, 95% CI, 2.31–5.7; PG3, HR = 3.55, 95% CI, 2.3–5.49; all p < 0.001]. The study presented some key limitations that may impact generalizability.Conclusions: Cluster analysis of clinical, CCTA, and CMR variables identified three phenogroups of patients with newly diagnosed CAD that were associated with distinct clinical and prognostic profiles. Inducible ischemia assessed by stress CMR remained associated with the occurrence of MACE within each phenogroup. Whether automated unsupervised phenogrouping of CAD patients may improve clinical decision-making should be further explored in prospective studies.

scholarly journals Use of Coronary Computed Tomography Angiography to Screen Hospital Employees with Cardiovascular Risk Factors

2021 ◽  
Vol 18 (10) ◽  
pp. 5462
Author(s):  
Po-Yi Li ◽  
Ru-Yih Chen ◽  
Fu-Zong Wu ◽  
Guang-Yuan Mar ◽  
Ming-Ting Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Computed Tomography Angiography ◽  
Coronary Computed Tomography Angiography ◽  
Significant Risk ◽  
Coronary Computed Tomography ◽  
Hospital Employees ◽  
Artery Disease

The objective of this study was to determine how coronary computed tomography angiography (CCTA) can be employed to detect coronary artery disease in hospital employees, enabling early treatment and minimizing damage. All employees of our hospital were assessed using the Framingham Risk Score. Those with a 10-year risk of myocardial infarction or death of >10% were offered CCTA; the Coronary Artery Disease Reporting and Data System (CAD-RADS) score was the outcome. A total of 3923 hospital employees were included, and the number who had received CCTA was 309. Among these 309, 31 (10.0%) had a CAD-RADS score of 3–5, with 10 of the 31 (32.3%) requiring further cardiac catheterization; 161 (52.1%) had a score of 1–2; and 117 (37.9%) had a score of 0. In the multivariate logistic regression, only age of ≥ 55 years (p < 0.05), hypertension (p < 0.05), and hyperlipidemia (p < 0.05) were discovered to be significant risk factors for a CAD-RADS score of 3–5. Thus, regular and adequate control of chronic diseases is critical for patients, and more studies are required to be confirmed if there are more significant risk factors.

scholarly journals Prognostic value of fat attenuation index of pericoronary adipose tissue surrounding left anterior descending artery on coronary computed tomography angiography

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Sugiyama ◽  
Y Kanaji ◽  
M Hoshino ◽  
M Yamaguchi ◽  
M Hada ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Adipose Tissue ◽  
Coronary Artery ◽  
Prognostic Value ◽  
Coronary Computed Tomography Angiography ◽  
Coronary Cta ◽  
Kaplan Meier ◽  
Attenuation Index ◽  
Artery Disease

Abstract Background Recent studies reported the association between elevated fat attenuation index (FAI) of pericoronary adipose tissue (PCAT) on coronary computed tomography angiography (CTA) and worse cardiac outcomes. Purpose We investigated the prognostic value of increased FAI-defined coronary inflammation status in patients with coronary artery disease. Methods Three-hundred fifty-eight patients (127 acute coronary syndromes [ACS], 231 stable coronary artery disease) with left anterior descending artery (LAD) as a culprit vessel who underwent coronary CTA were retrospectively studied. The FAI defined as the mean CT attenuation value of PCAT (−190 to −30 Hounsfield Unit [HU]) was measured at the proximal 40-mm segment of LAD. All subjects were divided into two groups according to the median value of FAI in the LAD. The association between the incidence of major adverse cardiac events (MACE) including all-cause death, myocardial infarction, heart failure, target and non-target vessel revascularization were evaluated. Results In a total of 358 patients, median FAI values surrounding the LAD was −71.46 (interquartile range, −77.10 to −66.34) HU. Thirty-eight patients (10.6%) experienced MACE during the follow-up period (median, 818 days). Kaplan-Meier analysis revealed that high FAI-LAD (&gt;−71.46 HU [median]) was significantly associated with the incidence of MACE (log-rank test, chi-square = 4.183, P=0.041) (Figure). Conclusions In patients with coronary artery disease with culprit LAD lesions, elevated FAI of PCAT surrounding the LAD was associated with worse clinical outcomes. Assessment of FAI may have a potential for potential for non-invasive risk-stratification by coronary CTA. Kaplan-Meier analysis for MACE Funding Acknowledgement Type of funding source: None

Abstract 13471: Additional Prognostic Value of Vasodilator Stress Cardiovascular Magnetic Resonance in Patients With Inconclusive Stress Test to Detect Coronary Artery Disease

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Theo Pezel ◽  
Guillaume Bonnet ◽  
Francesca Sanguineti ◽  
Marine Kinnel ◽  
Anouk Asselin ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Prognostic Value ◽  
Stress Test ◽  
Multivariable Analysis ◽  
Myocardial Scar ◽  
Major Adverse Cardiovascular Events ◽  
Inducible Ischemia ◽  
Artery Disease ◽  
Stress Cmr

Introduction: Non-invasive testing for ischemia to diagnose coronary artery disease(CAD) are frequently inconclusive(25%). Hypothesis: To assess the prognostic value of stress CMR in patients with a first inconclusive stress test. Methods: Between 2008 and 2018, consecutive patients with inconclusive stress test, defined by stress echocardiography or nuclear testing with uncertain conclusion, prospectively referred for stress CMR with dipyridamole were followed for major adverse cardiovascular events(MACE): cardiac death or myocardial infarction. An unsupervised clustering analysis was performed. Results: Of 1502 patients (62±12yrs, 59%men), 1397 completed the follow-up (median 5.5±2.3yrs). Three clusters were identified: Cluster 1 (n=524) had the highest prevalence of previous PCI, the highest presence of a myocardial scar defined, the lowest LVEF (35±7%) and the highest LV dilatation. Cluster 2 (n=406) had the highest previous CABG prevalence, preserved LVEF, absence of LV dilatation, and presence of myocardial scar. This cluster comprised predominantly male patients, with the highest rate of hypertension. Cluster 3 (n=572) had the lowest rate of previous PCI/CABG, the lowest rate of myocardial scar, predominantly female, the highest atrial fibrillation rate and body mass index. Survival analysis found significant differences across clusters for the occurrence of MACE (p=0.02). Inducible ischemia was associated with MACE occurrence in each cluster (C1, HR 2.28; 95%CI[1.31-3.99]; p=0.0028; C2, HR 3.37; 95%CI[1.97-5.75]; p<0.0001; C3, HR 2.73; 95%CI[1.67-4.46]; p<0.0001). In multivariable analysis, inducible ischemia predicted MACE in each cluster (p<0.001 for all). Conclusions: Cluster analysis identified 3 different phenotypes with distinct clinical and prognostic profiles. Within these clusters, stress CMR has an additional prognostic value to predict MACE..

scholarly journals Usefulness of preoperative coronary computed tomography angiography in high risk non-cardiovascular surgery old patients with unknown or suspected coronary artery disease

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xue-Ming Li ◽  
Zhong-Zhi Xu ◽  
Zhi-Peng Wen ◽  
Jiao Pei ◽  
Wei Dai ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
High Risk ◽  
Older Patients ◽  
Cardiovascular Surgery ◽  
Coronary Computed Tomography Angiography ◽  
Agatston Score ◽  
Artery Disease ◽  
Rule Out

Abstract Background Cumulative evidence has shown that the non-invasive modality of coronary computed tomography angiography (CCTA) has evolved as an alternative to invasive coronary angiography, which can be used to quantify plaque burden and stenosis and identify vulnerable plaque, assisting in diagnosis, prognosis and treatment. With the increasing elderly population, many patients scheduled for non-cardiovascular surgery may have concomitant coronary artery disease (CAD). The aim of this study was to investigate the usefulness of preoperative CCTA to rule out or detect significant CAD in this cohort of patients and the impact of CCTA results to clinical decision-making. Methods 841 older patients (age 69.5 ± 5.8 years, 74.6% males) with high risk non-cardiovascular surgery including 771 patients with unknown CAD and 70 patients with suspected CAD who underwent preoperative CCTA were retrospectively enrolled. Multivariate logistic regression analysis was performed to determine predictors of significant CAD and the event of cancelling scheduled surgery in patients with significant CAD. Results 677 (80.5%) patients had non-significant CAD and 164 (19.5%) patients had significant CAD. Single-, 2-, and 3- vessel disease was found in 103 (12.2%), 45 (5.4%) and 16 (1.9%) patients, respectively. Multivariate analysis demonstrated that positive ECG analysis and Agatston score were independently associated with significant CAD, and the optimal cutoff of Agatston score was 195.9. The event of cancelling scheduled surgery was increased consistently according to the severity of stenosis and number of obstructive major coronary artery. Multivariate analysis showed that the degree of stenosis was the only independent predictor for cancelling scheduled surgery. In addition, medication using at perioperative period increased consistently according to the severity of stenosis. Conclusions In older patients referred for high risk non-cardiovascular surgery, preoperative CCTA was useful to rule out or detect significant CAD and subsequently influence patient disposal. However, it might be unnecessary for patients with negative ECG and low Agatston score. Trial registration Retrospectively registered.

scholarly journals Clinical risk factors and atherosclerotic plaque extent to define risk for major events in patients without obstructive coronary artery disease: the long-term coronary computed tomography angiography CONFIRM registry

2020 ◽  
Vol 21 (5) ◽  
pp. 479-488 ◽  
Author(s):  
Alexander R van Rosendael ◽  
A Maxim Bax ◽  
Jeff M Smit ◽  
Inge J van den Hoogen ◽  
Xiaoyue Ma ◽  
...  
Keyword(s):  
Risk Factors ◽  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Computed Tomography Angiography ◽  
Prognostic Value ◽  
Coronary Computed Tomography Angiography ◽  
Obstructive Coronary Artery Disease ◽  
Artery Disease

Abstract Aims In patients without obstructive coronary artery disease (CAD), we examined the prognostic value of risk factors and atherosclerotic extent. Methods and results Patients from the long-term CONFIRM registry without prior CAD and without obstructive (≥50%) stenosis were included. Within the groups of normal coronary computed tomography angiography (CCTA) (N = 1849) and non-obstructive CAD (N = 1698), the prognostic value of traditional clinical risk factors and atherosclerotic extent (segment involvement score, SIS) was assessed with Cox models. Major adverse cardiac events (MACE) were defined as all-cause mortality, non-fatal myocardial infarction, or late revascularization. In total, 3547 patients were included (age 57.9 ± 12.1 years, 57.8% male), experiencing 460 MACE during 5.4 years of follow-up. Age, body mass index, hypertension, and diabetes were the clinical variables associated with increased MACE risk, but the magnitude of risk was higher for CCTA defined atherosclerotic extent; adjusted hazard ratio (HR) for SIS &gt;5 was 3.4 (95% confidence interval [CI] 2.3–4.9) while HR for diabetes and hypertension were 1.7 (95% CI 1.3–2.2) and 1.4 (95% CI 1.1–1.7), respectively. Exclusion of revascularization as endpoint did not modify the results. In normal CCTA, presence of ≥1 traditional risk factors did not worsen prognosis (log-rank P = 0.248), while it did in non-obstructive CAD (log-rank P = 0.025). Adjusted for SIS, hypertension and diabetes predicted MACE risk in non-obstructive CAD, while diabetes did not increase risk in absence of CAD (P-interaction = 0.004). Conclusion Among patients without obstructive CAD, the extent of CAD provides more prognostic information for MACE than traditional cardiovascular risk factors. An interaction was observed between risk factors and CAD burden, suggesting synergistic effects of both.

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