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The aim of this investigation is to investigate the clinical features of ESUS and the relationship between non-stenotic carotid plaque and ESUS. Methods This is a single-center, retrospective cross-sectional research conducted in Changzhou, China's No. 2 People's Hospital from January 2020 to January 2022 to compare differences in clinical findings among ESUS, CE, and large-artery atherosclerosis, as well as the presence of non-stenotic carotid plaque and non-stenotic carotid plaque with low echo between patients with ESUS, CE, and large-artery atherosclerosis in patients with low echo in patients with low echo in etu2019s Hospital from January 2020 to compares retrospective cross-sectional retrospective e & CE Ultrasound was used to determine the features of non-stenotic carotid plaque and a non-stenotic carotid plaque, as well as plaque with low echo. There were no differences in clinical characteristics between ESUS and LAA, but in the comparison of CE and ESUS, there were differences in age, smoking, hypertension, serum triglyceride, total cholesterol, and low density lipoprotein cholesterol, although there were no differences in clinical features between ESUS and LAA, but there were no differences in clinical features between CE and ESUS, respectively. Non-stenotic carotid plaque was more prevalent on the ipsilateral side of stroke in ESUS than in CE [55 vs. 18 p = 0. 001], as was the incidence of non-stenotic carotid plaque with low echo [38 vs. 5 p 0. 001]. The prevalence of non-stenotic carotid plaque and the presence of non-stenotic carotid plaque with low echo, as well as non-stenotic carotid plaque with low echo, respectively, were found by logistic regression analysis. Conclusions The results reveal that an ipsilateral vulnerable non-stenotic plaque is associated with ESUS in anterior circulation infarction.
Source link: https://doi.org/10.1186/s12883-022-02846-4
paraphrased plaque formation and carotid plaque location by retrospectively reviewing the clinical data of subjects with carotid plaque formation and placement as well as providing technical assistance for screening patients with carotid plaque plaques. Methods There were 4300 patients in the ultrasound department of Maanshan People's Hospital's Hospital from December 2013 to December 2018. To create predictive models for carotid plaque and its location, we used demographic and biochemical data from 3700 participants to create predictive models for carotid plaque and its location. The building of a carotid plaque prediction model was only developed; the prediction model of right carotid plaque only; and the prediction model of right carotid plaque is the only one. Model of a bilateral carotid plaque prediction model (Prediction model). Conclusion The carotid plaque and its location discriminant models were based on Fisher's discriminant analysis, which has a high success in community screening.
Source link: https://doi.org/10.1186/s12872-022-02806-3
The most significant percentage of the sample's variance was determined by plaque rupture, according to a principal component analysis, and recently ruptured plaques were enriched with transcripts associated with inflammation and extracellular matrix degradation. Also, the transcriptome of recently ruptured plaques is enhanced with transcripts related to inflammation and fibrous cap thinning, allowing for further investigation of B lymphocytes and interferons in atherosclerotic plaque rupture.
Source link: https://doi.org/10.1038/s41598-022-17546-9
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