Coronary Plaque Features on CTA Can Identify Patients at Increased Risk of Cardiovascular Events

Andreini, Daniele; Magnoni, Marco; Conte, Edoardo; Masson, Serge; Mushtaq, Saima; Berti, Sérgio; Canestrari, Mauro; Casolo, Giancarlo; Gabrielli, Domenico; Latini, Roberto; Marraccini, Paolo; Moccetti, Tiziano; Modena, Maria Grazia; Pontone, Gianluca; Gorini, Marco; Maggioni, Aldo P.; Maseri, Attilio; Investigators, Capire

doi:10.1016/j.jcmg.2019.06.019

Cited by 81 publications

(43 citation statements)

References 26 publications

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“…Although many scans will show extensive coronary calcification, CAD can be ruled out reliably in a proportion of scans performed for procedure planning. 167,168 Prior to percutaneous pulmonary valve implantation, cardiac CT may be helpful to assess the proximity of the coronary arteries to anticipate compression by the valvular device.…”

Section: Noncoronary Cardiac Surgerymentioning

confidence: 99%

SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography

Narula

Chandrashekhar

Ahmadi

et al. 2021

Journal of Cardiovascular Computed Tomography

192

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2.1.2. Diagnostic performance of functional imaging and CTA compared to >50% diameter stenosis by ICA The National Cardiovascular Data Registry 9 suggested that functional testing is suboptimal for detecting significant coronary stenoses. Of the 661,063 patients undergoing elective catheterization, 64% had testing before the invasive coronary angiogram (ICA); of those, only 51.9% were abnormal. The percentages of patients with <50% DS on subsequent ICA ranged from 55 to 56% after an abnormal exercise treadmill test (ETT), stress echocardiography (SE), single photon emission computed tomography (SPECT) and magnetic resonance imaging (MRI); for resting CTA, the percentage was 30%. In the oldest report, Fleischmann et al. evaluated 5874 patients in 41 studies from 1990 to 1997, and reported sensitivity and specificity of 85% and 77% for SE and 87% and 64% for SPECT, with 52% and 71% for exercise ECG. 10 DeJong et al. (Table 2A), in a meta-analysis of 5088 patients in 51 studies from 2000 to 2011 evaluated MRI, SE and SPECT with >50%DS by ICA as reference. 11 MRI was the most sensitive and specific (91% and 80%), with SE (87% and 72%) and SPECT (83% and 77%) roughly similar. Jaarsma et al. (Table 2B), reported on SPECT, MRI and positron emission tomography (PET) in 141 per-patient studies and 70 per-vessel studies. 12 Per-patient diagnostic odds ratio (DOR) was highest for PET (36.47) followed by MRI (26.42) and SPECT (16.31). In pervessel analysis, PET and MRI were equal (24.74 and 24.11), while SPECT was lowest (11.75). In a meta-analysis limited to 26 studies in which CTA was compared to either ETT or SPECT in the same group of patients, Nielsen et al. 13 (Table 2C) reported CTA sensitivities of 95e99%, specificities of 68e93% and DOR of 128e728. Corresponding ranges for ETT were 65e70%, 24e60% and 0.7e4 and for SPECT were 67e73%, 48e52% and 2e4. It is important to understand that available meta-analyses are also challenged by the small numbers of patients in some of the individual reports, potential referral bias, and often include a mixture of newer and older technology (e.g., planar and SPECT imaging). Finally, in a paper published too recently for meta-analysis inclusion, 391 symptomatic patients, 52% with intermediate and 46% with high risk pre-test probability, who were scheduled for ICA, underwent both CTA and SPECT with >50%DS by ICA as reference. 14 Sensitivity, specificity, positive and negative predictive values were 0.92, 0.75, 0.84 and 0.87 for CTA and 0.62, 0.68, 0.74 and 0.55 for SPECT. AUC was significantly higher for CTA (0.91 versus 0.69, p < 0.001.

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Section: Noncoronary Cardiac Surgerymentioning

confidence: 99%

SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography

Narula

Chandrashekhar

Ahmadi

et al. 2021

Journal of Cardiovascular Computed Tomography

192

View full text Add to dashboard Cite

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“…Our data have also to be considered in view of the results of the CAPIRE study that specifically identified high non-calcified (Andreini et al, 2019). In this context, one possible pathophysiological model to explain the correlation between elevated non-calcified plaque volume and RBC rigidity could be identified in the role of cholesterol in determining RBC deformability.…”

Section: Discussionmentioning

confidence: 83%

Red Blood Cell Morphodynamics: A New Potential Marker in High-Risk Patients

et al. 2021

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In the last years, a substantial contribution of red blood cells (RBCs) in cardiovascular homeostasis has been evidenced, as these cells are able to regulate cardiovascular function by the export of adenosine triphosphate and nitric oxide as well as to maintain redox balance through a well-developed antioxidant system. Recently a link between high-risk plaque (HRP) features and myocardial ischemia, in the absence of severe lumen stenosis, has been evidenced. Nonobstructive coronary artery disease (nonob CAD) has been associated in fact with a greater 1-year risk of myocardial infarction and all-cause mortality compared with no apparent CAD. This new evidence increases interest in searching new triggers to identify these high-risk patients, in the absence/or on top of traditional hazard markers. In this study, we investigated the existence of any association between RBC morphodynamics and HRP features in individuals with different grades of coronary stenosis detected by coronary computed tomography angiography (CCTA). Ninety-one consecutive individuals who underwent CCTA [33 no CAD; 26 nonobstructive (nonob), and 32 obstructive (ob) CAD] were enrolled. RBC morphodynamic features, i.e., RBC aggregability and deformability, were analyzed by means of Laser Assisted Optical Rotation Cell Analyzer (LoRRca MaxSis). The putative global RBC morphodynamic (RMD) score and the related risk chart, associating the extent of HRP (e.g., the non-calcified plaque volume) with both the RMD score and the max % stenosis were computed. In nonob CAD group only positive correlations between RBC rigidity, osmotic fragility or aggregability and HRP features (plaque necrotic core, fibro-fatty and fibro-fatty plus necrotic core plaque volumes) were highlighted. Interestingly, in this patient cohort three of these RBC morphodynamic features result to be independent predictors of the presence of non-calcified plaque volume in this patients group. The risk chart created shows that only in nonob CAD plaque vulnerability increases according to the score quartile. Findings of this work, by evidencing the association between erythrocyte morphodynamic characteristics assessed by LoRRca and plaque instability in a high-risk cohort of nonob CAD, suggest the use of these blood cell features in the identification of high-risk patients, in the absence of severe coronary stenosis.

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“…Non-calci ed plaques are usually characterized as lipid-rich and are generally considered to be more unstable than other plaque types. Elevated non-calci ed plaque volume may increase the incidence of acute coronary syndrome, cardiac death, and major adverse cardiovascular events [15,21].…”

Section: Discussionmentioning

confidence: 99%

Characteristics of Coronary Artery Disease in Patients with Subclinical Hypothyroidism: Evaluation Using Coronary Artery Computed Tomography Angiography

Zhou

Shi

Wang

et al. 2021

Preprint

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Background: Subclinical hypothyroidism (SCH) has recently been acknowledged as an independent risk factor for coronary artery disease (CAD). However, the characteristics of CAD in patients with SCH are not fully understood. This study aims to evaluate the features of CAD in patients with SCH using coronary computed tomographic angiography (CCTA).Materials and Methods: From 1 April, 2018 to 30 June, 2020, 234 consecutive SCH patients with coronary plaques identified on CCTA were included retrospectively. They were further subdivided into different degree of SCH groups (mild SCH vs. moderate SCH vs. severe SCH: 143 vs 62 vs 28) and different gender groups (men with SCH vs. women with SCH:116 vs 118). The distributions and types of plaques, luminal narrowing, segment involvement scores (SIS) and segment stenosis scores (SSS) were evaluated and compared among the different groups.Results: Patients with severe SCH had fewer calcified plaques (0.7 ± 0.9 vs. 2.0 ± 1.9, p < 0.001) and more non-calcified plaques (0.9 ± 1.0 vs. 0.3 ± 0.5, p < 0.001) than those with mild SCH. As the SCH condition worsened, the proportion of non-calcified plaques significantly increased. Whereas there were no significant discrepancies in SIS and SSS among patients with different grades of SCH (all p > 0.05). Men with SCH had higher SIS (3.9 ± 2.3 vs. 3.0 ± 2.3, p = 0.004) and SSS (7.8 ± 5.4 vs. 5.4 ± 3.0, p = 0.002) than women. Multivariate logistic and linear regression analysis demonstrated that grades of SCH (Moderate SCH, odds ratio [OR]: 2.11; 95% CI 1.03–4.34, p = 0.042; severe SCH, OR: 10.00; 95% CI 3.82–26.20, p < 0.001, taken mild SCH as a reference) was independently associated with the presence of non-calcified plaques, whereas sex (B: 1.67; 95% CI 0.27–3.10, p = 0.009) was independently associated with SSS. Conclusions: Severe SCH is associated with non-calcified plaques, and men with SCH have higher total plaque burden than women. We suggest that it is important to evaluate for coronary plaque in SCH patients, especially those with severe SCH and men with SCH.

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Coronary Plaque Features on CTA Can Identify Patients at Increased Risk of Cardiovascular Events

Cited by 81 publications

References 26 publications

SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography

SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography

Red Blood Cell Morphodynamics: A New Potential Marker in High-Risk Patients

Characteristics of Coronary Artery Disease in Patients with Subclinical Hypothyroidism: Evaluation Using Coronary Artery Computed Tomography Angiography

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