Epicardial fat thickness correlates with coronary in-stent restenosis in patients with acute myocardial infarction

Cabrera-Rego, Julio Oscar; Escobar-Torres, Raúl A.; Parra-Jiménez, Juan D.; Valiente-Mustelier, Juan

doi:10.1016/j.artere.2019.03.002

Cited by 2 publications

(7 citation statements)

References 19 publications

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“…Other two studies recruiting the same patients cohort evaluated the in uence of EAT on no-re ow, ISR and MACE, respectively [14,18]. The other 4 studies solely showed the relationship between EAT and ISR of patients treated with PCI [9][10][11][12]. The impact of EAT on MACEs for patients treated PCI was evaluated in other 2 studies [4,5].…”

Section: Resultsmentioning

confidence: 99%

“…According to the included criteria, the patients of all the included studies were treated with PCI for revascularization. Seven studies totally involved 1677 STEMI/non-STEMI patients explicitly mentioned that the revascularization strategy was primary PCI [9,[13][14][15][18][19][20].…”

Section: Description Of Included Studies and Quality Assessmentmentioning

confidence: 99%

“…The value of EAT for ISR There are totally 6 studies evaluated the value of EAT for the ISR [9][10][11][12][13][14]. The EAT measured by thickness or volume was signi cantly higher in the ISR group compared to those in the non-ISR group.…”

Section: Quantitative Data Synthesismentioning

confidence: 99%

“…The EAT measured by thickness or volume was signi cantly higher in the ISR group compared to those in the non-ISR group. The standard mean difference was -0.34 estimated in 4 studies [9][10][11][12](95% CI, -0.49, -0.18 p<0.0001; I 2 =36%) ( Fig. 2a).…”

Section: Quantitative Data Synthesismentioning

confidence: 99%

“…By autocrine and paracrine means, it generates various types of anti-/proin ammatory mediators and free fatty acids [8]. More recently, multiple clinical researches have shown that increased EAT deposition plays a pivotal role in the development and progression of ISR [9][10][11][12][13][14], no-re ow [15][16][17][18], infarct size [19,20] or MACE [4,5,13,14] for patients treated with PCI with inconsistent results.…”

Section: Introductionmentioning

confidence: 99%

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The Value of Epicardial Adipose Tissue for the Patients Treated with Percutaneous Coronary Intervention: A Systemic Review and Meta-analysis

Xu¹,

Xu²

2020

Preprint

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BackgroundAccumulating evidences suggest that the prognostic value of epicardial adipose tissue (EAT) on no-reflow, in-stent restenosis (ISR), infarct size, and main adverse cardiovascular events (MACE) for the patients treated with percutaneous coronary intervention (PCI). The relationship between EAT and outcomes of patients underwent PCI is still partly elusive. MethodsTo elucidate the relationship in detail, we searched PubMed, web of science, and the Cochrane Library for studies evaluating the association of EAT and patients treated with PCI. Thirteen studies enrolling 3683 patients were eventually include in our systemic review and meta-analysis. ResultsThe EAT measured by thickness or volume was significantly higher in the ISR group compared to those in the non-ISR group (The standard mean difference -0.34, 95% CI, -0.49, -0.18, p <0.0001; I2 =36%). The incidence of no-reflow was significantly higher in thicker EAT group compared to thin EAT group (pooled relative ratio 1.52, 95%CI 1.29-1,80, p <0.0001; I2 =0%). Thicker EAT was significantly associated with MACEs (pooled relative ratio 1.50, 95% 1.18-1.90, p =0.008). A lower EAT volume is associated with larger infarct size in ST elevated myocardial infarction patients treated with primary PCI (standard mean difference was -5.45, 95% CI -8.10, -2.80; p <0.0001; I2 =0%). In summary, our systemic review and meta-analysis suggest that high EAT is related with a significant increased risk of non-reflow, MACE and decreased infarct size in patients with coronary artery disease treated with PCI. This paradox phenomenon demonstrates that the quality of EAT may play more important role than the solely thickness or volume of EAT.

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Section: Resultsmentioning

confidence: 99%

Section: Description Of Included Studies and Quality Assessmentmentioning

confidence: 99%

Section: Quantitative Data Synthesismentioning

confidence: 99%

Section: Quantitative Data Synthesismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Value of Epicardial Adipose Tissue for the Patients Treated with Percutaneous Coronary Intervention: A Systemic Review and Meta-analysis

Xu¹,

Xu²

2020

Preprint

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Digital Subtraction Angiography Image Features under the Deep Learning Algorithm in Cardiovascular Interventional Treatment and Nursing for Vascular Restenosis

Zhao

Zeng

et al. 2022

Computational and Mathematical Methods in Medicine

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The objective of this study was to explore the application value of digital subtraction angiography (DSA) images optimized by deep learning algorithms in vascular restenosis patients undergoing cardiovascular intervention and their nursing efficacy. In this study, a network model for removing artifacts was constructed based on a deep algorithm. 60 patients with coronary artery restenosis were selected as the research objects, and they were randomly divided into the CTA group guided by CT angiography (CTA) and digital subtraction angiography (DSA) group, with 30 cases in each group. The antiartifact network model constructed based on the depth algorithm was applied to the images of CTA and DSA for experiments. After cardiovascular intervention and clinical pathway nursing intervention, it was found that the diameter stenosis rate in the DSA group decreased from 65.82 ± 12.9 % to 4.7 ± 1.3 % , and the area stenosis rate decreased from 88.4 ± 14.3 % to 5.4 ± 1.7 % . During the follow-up period of 3-24 months, 3 out of 46 lesions in the DSA group showed restenosis, so the restenosis rate was 6.5%, which was significantly lower than the 18.4% in the CTA group ( P < 0.05 ). In the DSA group, there was 1 case of bleeding, 0 case of hematoma, 2 cases of urinary retention, and 0 case of hypotension, so the total incidence of adverse reactions was 10%, which was significantly lower than the 30% of the CTA group ( P < 0.05 ). The high-sensitivity C-reactive protein (hs-CRP) levels of the two groups of patients were 3.58 ± 2.02 mg / L and 4.36 ± 3.11 mg / L before surgery and 3.49 ± 2.18 mg / L and 4.57 ± 3.4 mg / L after the surgery. The postoperative hs-CRP level in the CTA group was slightly lower than that before the surgery and the postoperative hs-CRP level in the DSA group was slightly higher than that before the surgery, but they were not statistically significant ( P > 0.05 ). The hs-CRP level of the DSA group before and after the surgery was slightly higher than that of the CTA group, but there was no significant difference ( P > 0.05 ). In summary, the network model based on the deep learning algorithm can remove the artifacts in DSA images and present high-quality clear images, and convolutional neural network (CNN) algorithms had a strong ability to automatically learn features in the field of medical image processing and were worthy of being widely used and popularized. In addition, the DSA-guided intervention can reduce the rate of vascular stenosis in patients, showing low probability of postoperative restenosis and adverse reactions and a good clinical effect.

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Epicardial fat thickness correlates with coronary in-stent restenosis in patients with acute myocardial infarction

Cited by 2 publications

References 19 publications

The Value of Epicardial Adipose Tissue for the Patients Treated with Percutaneous Coronary Intervention: A Systemic Review and Meta-analysis

The Value of Epicardial Adipose Tissue for the Patients Treated with Percutaneous Coronary Intervention: A Systemic Review and Meta-analysis

Digital Subtraction Angiography Image Features under the Deep Learning Algorithm in Cardiovascular Interventional Treatment and Nursing for Vascular Restenosis

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