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Spontaneous coronary artery dissection: current evidence from cardiac magnetic resonance and angiography screening. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Purpose
To assess the distribution and extent of myocardial infarction, as well as possible clinical significance of peripheral arteriopathy screening in a cohort of patients presented with spontaneous coronary dissection (SCAD) using cardiovascular magnetic resonance (CMR) for cardiac and vascular imaging. The adverse CMR features and predictors of infarction in subgroup analysis were also investigated.
Methods
This is an observational, single centre study of 144 consecutive, angiographically confirmed SCAD survivors >18 years old, based on collected data from Jan 2008-Nov 2020. All scans were performed on a 1.5-Tesla scanner. Cardiac structural and functional indices, myocardial infarct size and distribution were evaluated. In addition, vascular imaging was performed in all patients for thoracic aorta screening as part of the routine protocol, and in 75 patients peripheral arteriopathy screening from Circle of Willis to the iliac arteries was performed using 2D multi-slice and cine imaging, as well as 3D imaging methods.
Results
In the total population, 64% had infarction. Infarct size (%) was predictive of reduced left ventricular ejection fraction (LVEF) (p<0.001) and increased diastolic volumes (p<0.001 for both). Logistic regression showed SCAD in right coronary artery (Odds Ratio (OR): 5.2, p=0.034) predicted the presence of infarction. In the group who also underwent peripheral vascular screening, the overall prevalence of extra-coronary arteriopathy was 27% with fibromuscular dysplasia accounting for one-fourth of the cases (Figure 1). Of note, most positive vascular screening patients (73.3%) exhibited infarction (OR: 7.0, p=0.041), distributed in more than one territory (OR: 4.0, p=0.015) (Figure 2), while infarct size was negatively correlated with LVEF (p<0.001). Right ventricular ejection fraction was significantly reduced in positive screening patients (58.8±7.4 vs. 63.0±8.0, p=0.045). Further subgroup analysis showed pregnancy associated SCAD patients had significantly larger sized infarcts (25.1±6.1 vs. 6.2±0.7%, p<0.001) with reduced LVEF (51.0 vs 63.6±7.6, p<0.001). In logistic regression, this condition also predicted large infarcts >10% (OR: 9.8, p=0.009) in anterior walls (p<0.001).
Conclusions
Patients with SCAD require careful assessment of myocardial structure, function and characterization of infarction which may reflect the underlying pathophysiology. Extra coronary vascular screening, although not established in clinical practice, seems a rational strategy to potentially identify a subgroup with more severe infarction and likely to have vascular pathology.
Funding Acknowledgement
Type of funding sources: None.
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Quantitative cardiovascular magnetic resonance perfusion mapping as a guide for diagnosis. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
There is a lack of gold-standard non-invasive clinical markers derived from quantitative cardiovascular magnetic resonance (CMR) stress perfusion.
Purpose
This study aimed to compare quantification indices testing the hypothesis that they can discriminate possible normal from abnormal groups including microvascular dysfunction (MVD), coronary artery disease (CAD), and non-diagnostic tests due inappropriate response to the stressor agent.
Methods
Four-hundred and thirty-six consecutive patients (n=436, mean age 59.5 yrs) with typical angina and/or risk factors for CAD underwent stress CMR perfusion imaging using a dual-sequence quantitative spiral pulse protocol to estimate quantitative markers on a 1.5 T scanner. Anatomical coronary information, risk factors, and myocardial infarct were evaluated. Myocardial perfusion reserve values (MPR) were adjusted for rate-pressure product. For each perfusion assessment 3 short axis slice locations were imaged per heartbeat over a 60-heartbeat acquisition during an IV bolus of 0.05 mmol/kg of gadolinium contrast. Patients were divided into 4 groups: A) normal perfusion study; B) positive perfusion study due to epicardial coronary artery disease; C) positive perfusion study due to microvascular coronary artery disease; and D) non-diagnostic perfusion study due to inappropriate response to pharmacological stress.
Results
Stress myocardial blood flow (SMBF) and mean adjusted MPR differed between patients with no ischaemia and those clinically diagnosed with MVD (2.41±0.75 vs 1.81±0.52 mL/g/min, p<0.001, 2.78±0.94 vs 2.39±1.02, p=0.009, respectively). Patients deemed to have inadequate hyperaemia as opposed to inducible ischaemia had the lowest mean SBF of 1.25±0.32 vs 1.80±0.61 mL/g/min (p<0.001); a cut-off value of <1.34 mL/g/min had the best predictive diagnostic accuracy for inadequate stress (area under curve [AUC] 0.875). Of note, comparing MVD vs CAD (single, 2-vessels, multivessel disease) without infarction stress pulmonary transit time (PTT) (centroid 6.9±0.72 vs 5.95±0.58, p=0.026), SMBF (1.80 vs 2.10 mL/g/min, p=0.0075), stress endo (1.60 vs 1.94 mL/g/min, p=0.0013), and stress epi (1.94 vs 2.21 mL/g/min, p=0.021) differed significantly between the two groups. The presence of infarction was shown also to be a significant discriminator between the two groups in logistic regression analysis (OR: 8.3, p=0.030).
Conclusions
This study showed fully quantitative stress markers may be useful in discriminating MVD and CAD patients as well as excluding patients with inadequate hyperaemia.
Funding Acknowledgement
Type of funding sources: None.
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