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Article: Determination of the stability of plasma ATP in vitro.

Chen, Yiwen / Xia, Shudong

2021 Volume 11, Issue 1, Page(s) 96–99

Abstract: Background: Adenosine 5'-triphosphate (ATP) is the most direct source of energy in organisms. Recently, it is evident that ATP plays an essential role in the immune and inflammatory systems. However, ATP is unstable when it exposed to room temperature ... ...

Abstract	Background: Adenosine 5'-triphosphate (ATP) is the most direct source of energy in organisms. Recently, it is evident that ATP plays an essential role in the immune and inflammatory systems. However, ATP is unstable when it exposed to room temperature in vitro. Therefore, our article is aim to explore the stability of ATP. Methods and results: 28 samples of ATP were detected. Student's t test or one-way ANOVA was used to compare multiple groups. It shows that during the storage process from day 1 to day 70, the overall levels tend to decrease. Conclusion: The level of ATP does not reduce at least in the first month when stored at -80°C. On the 70th day, there was a star drop, and the levels were lower than before.
Language	English
Publishing date	2021-02-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	2620435-6
ISSN	2160-1992
ISSN	2160-1992
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Post-stroke arrhythmia could be a potential predictor for post-stroke depression.

Xu, Tao / Dong, Fangying / Zhang, Muhua / Wang, Kewu / Xu, Tian / Xia, Shudong / Feng, Chao

Scientific reports

2024 Volume 14, Issue 1, Page(s) 9093

Abstract: Post-stroke depression (PSD) is regarded as the consequence of multiple contributors involving the process of cognition, mood and autonomic system, with the specific mechanism unclear yet. As a common type of stroke-heart syndromes, post-stroke ... ...

Abstract	Post-stroke depression (PSD) is regarded as the consequence of multiple contributors involving the process of cognition, mood and autonomic system, with the specific mechanism unclear yet. As a common type of stroke-heart syndromes, post-stroke arrhythmia shared some common pathogenesis with PSD. We presumed that post-stroke arrhythmia might be an early distinguishable marker for the presence of PSD and aimed to verity their association in this study. Patients with first-ever ischemic stroke were enrolled. The presence of post-stroke ectopic arrhythmia and the symptoms of arrhythmia were recorded with anti-arrhythmia drugs prescribed when necessary. Patients were followed up 3 months later to identify their presence and severity of PSD using Hamilton Depression Scale (HAMD) and also presence and severity of arrhythmia. Characteristics including the prevalence of various types of arrhythmias were compared between PSD and non-PSD groups. The HAMD scores were compared between patients with and without arrhythmia in PSD group. Logistic regression was used to identify the independent predictor of PSD. Patients with PSD had higher prevalence of post-stroke arrhythmia especially newly-detected arrhythmia, symptomatic arrhythmia and poor-controlled arrhythmia. In PSD group, patients of post-stroke arrhythmia had higher scores of HAMD than those without arrhythmia. Presence of newly-detected, symptomatic and poor-controlled arrhythmias were independent predictor of PSD. post-stroke arrhythmia especially newly-detected arrhythmia and symptomatic arrhythmia could be an early predictor of PSD. Successful control of arrhythmia was associated with reduced prevalence and severity of PSD.
MeSH term(s)	Humans ; Brain Ischemia/complications ; Depression/diagnosis ; Depression/etiology ; Depression/epidemiology ; Stroke/epidemiology ; Affect ; Arrhythmias, Cardiac/etiology ; Arrhythmias, Cardiac/complications
Language	English
Publishing date	2024-04-20
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-59789-8
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Article ; Online: Entity relationship extraction from Chinese electronic medical records based on feature augmentation and cascade binary tagging framework.

Lu, Xiaoqing / Tong, Jijun / Xia, Shudong

Mathematical biosciences and engineering : MBE

2022 Volume 21, Issue 1, Page(s) 1342–1355

Abstract: Extracting entity relations from unstructured Chinese electronic medical records is an important task in medical information extraction. However, Chinese electronic medical records mostly have document-level volumes, and existing models are either unable ...

Abstract	Extracting entity relations from unstructured Chinese electronic medical records is an important task in medical information extraction. However, Chinese electronic medical records mostly have document-level volumes, and existing models are either unable to handle long text sequences or exhibit poor performance. This paper proposes a neural network based on feature augmentation and cascade binary tagging framework. First, we utilize a pre-trained model to tokenize the original text and obtain word embedding vectors. Second, the word vectors are fed into the feature augmentation network and fused with the original features and position features. Finally, the cascade binary tagging decoder generates the results. In the current work, we built a Chinese document-level electronic medical record dataset named VSCMeD, which contains 595 real electronic medical records from vascular surgery patients. The experimental results show that the model achieves a precision of 87.82% and recall of 88.47%. It is also verified on another Chinese medical dataset CMeIE-V2 that the model achieves a precision of 54.51% and recall of 48.63%.
MeSH term(s)	Humans ; Electronic Health Records ; Neural Networks, Computer ; Information Storage and Retrieval ; China
Language	English
Publishing date	2022-12-27
Publishing country	United States
Document type	Journal Article
ZDB-ID	2265126-3
ISSN	1551-0018 ; 1551-0018
ISSN (online)	1551-0018
ISSN	1551-0018
DOI	10.3934/mbe.2024058
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Article: Cannabis Use and the Risk of Cardiovascular Diseases: A Mendelian Randomization Study.

Zhao, Jianqiang / Chen, Heng / Zhuo, Chengui / Xia, Shudong

Frontiers in cardiovascular medicine

2021 Volume 8, Page(s) 676850

Abstract: Several observational studies have shown that cannabis use has negative effects on the cardiovascular system, but the causality of this relationship has not been confirmed. The aim of the current study was to estimate the effects of genetically ... ...

Abstract	Several observational studies have shown that cannabis use has negative effects on the cardiovascular system, but the causality of this relationship has not been confirmed. The aim of the current study was to estimate the effects of genetically determined cannabis use on risk of cardiovascular diseases. Ten single-nucleotide polymorphisms related to cannabis use were employed as instruments to estimate the association between genetically determined cannabis use and risk of cardiovascular diseases using a two-sample Mendelian randomization (MR) method. Summary statistics data on exposure and outcomes were obtained from different genome-wide association meta-analysis studies. The results of this MR analysis showed no causal effects of cannabis use on the risk of several common cardiovascular diseases, including coronary artery disease, myocardial infarction, stroke and ischemic stroke subtypes, atrial fibrillation (AF), and heart failure. Various sensitivity analyses yielded similar results, and no heterogeneity and directional pleiotropy were observed. After adjusting for tobacco use and body mass index, multivariable MR analysis suggested a causal effect of cannabis use on small vessel stroke (SVS) [odds ratio (OR) 1.17; 95% CI 1.02-1.35;
Language	English
Publishing date	2021-08-02
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2781496-8
ISSN	2297-055X
ISSN	2297-055X
DOI	10.3389/fcvm.2021.676850
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Article ; Online: Automatic Lumen Border Detection in IVUS Images Using Deep Learning Model and Handcrafted Features.

Li, Kai / Tong, Jijun / Zhu, Xinjian / Xia, Shudong

Ultrasonic imaging

2021 Volume 43, Issue 2, Page(s) 59–73

Abstract: In the clinical analysis of Intravascular ultrasound (IVUS) images, the lumen size is an important indicator of coronary atherosclerosis, and is also the premise of coronary artery disease diagnosis and interventional treatment. In this study, a fully ... ...

Abstract	In the clinical analysis of Intravascular ultrasound (IVUS) images, the lumen size is an important indicator of coronary atherosclerosis, and is also the premise of coronary artery disease diagnosis and interventional treatment. In this study, a fully automatic method based on deep learning model and handcrafted features is presented for the detection of the lumen borders in IVUS images. First, 193 handcrafted features are extracted from the IVUS images. Then hybrid feature vectors are constructed by combining handcrafted features with 64 high-level features extracted from U-Net. In order to obtain the feature subsets with larger contribution, we employ the extended binary cuckoo search for feature selection. Finally, the selected 36-dimensional hybrid feature subset is used to classify the test images using dictionary learning based on kernel sparse coding. The proposed algorithm is tested on the publicly available dataset and evaluated using three indicators. Through ablation experiments, mean value of the experimental results (Jaccard: 0.88, Hausdorff distance: 0.36, Percentage of the area difference: 0.06) prove to be effective improving lumen border detection. Furthermore, compared with the recent methods used on the same dataset, the proposed method shows good performance and high accuracy.
MeSH term(s)	Algorithms ; Coronary Artery Disease/diagnostic imaging ; Deep Learning ; Humans ; Ultrasonography ; Ultrasonography, Interventional
Language	English
Publishing date	2021-01-15
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	603271-0
ISSN	1096-0910 ; 0161-7346
ISSN (online)	1096-0910
ISSN	0161-7346
DOI	10.1177/0161734620987288
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 1530: Show issues

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Article ; Online: Management of adolescent anorexia with symptomatic bradycardia and frequent premature ventricular contractions: a case report.

Chen, Fuxu / Feng, Chao / Song, Jie / Xia, Shudong

The Journal of international medical research

2021 Volume 49, Issue 10, Page(s) 3000605211050179

Abstract: Syncope associated with bradycardia and ventricular arrhythmia is an indication of cardiac intervention. However, in adolescent patients with anorexia nervosa, the management of syncope and arrhythmia can be different. We present a case of a 17-year-old ... ...

Abstract	Syncope associated with bradycardia and ventricular arrhythmia is an indication of cardiac intervention. However, in adolescent patients with anorexia nervosa, the management of syncope and arrhythmia can be different. We present a case of a 17-year-old boy who was admitted to the hospital because of syncope during exercise. Electrocardiographic monitoring showed that his mean heart rate was 41 beats/minute, with many long pauses and frequent premature ventricular contractions. These results suggested that the syncope was probably caused by arrythmia. He had been on a diet and had lost 20 kg in the past 6 months, with a body mass index of only 15.3 kg/m
MeSH term(s)	Adolescent ; Anorexia ; Arrhythmias, Cardiac ; Bradycardia/complications ; Electrocardiography ; Humans ; Male ; Syncope
Language	English
Publishing date	2021-10-13
Publishing country	England
Document type	Case Reports ; Journal Article
ZDB-ID	184023-x
ISSN	1473-2300 ; 0300-0605 ; 0142-2596
ISSN (online)	1473-2300
ISSN	0300-0605 ; 0142-2596
DOI	10.1177/03000605211050179
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Zs.A 925: Show issues

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Article: Risk investigation of in-stent restenosis after initial implantation of intracoronary drug-eluting stent in patients with coronary heart disease.

Xi, Hongfei / Liu, Jiasi / Xu, Tao / Li, Zhe / Mou, Xuanting / Jin, Yu / Xia, Shudong

Frontiers in cardiovascular medicine

2023 Volume 10, Page(s) 1117915

Abstract: Objective: To analyze the risk factors of in-stent restenosis (ISR) after the first implantation of drug-eluting stent (DES) patients with coronary heart disease (CHD) and to establish a nomogram model to predict the risk of ISR.: Methods: This study ...

Abstract	Objective: To analyze the risk factors of in-stent restenosis (ISR) after the first implantation of drug-eluting stent (DES) patients with coronary heart disease (CHD) and to establish a nomogram model to predict the risk of ISR. Methods: This study retrospectively analyzed the clinical data of patients with CHD who underwent DES treatment for the first time at the Fourth Affiliated Hospital of Zhejiang University School of Medicine from January 2016 to June 2020. Patients were divided into an ISR group and a non-ISR (N-ISR) group according to the results of coronary angiography. The least absolute shrinkage and selection operator (LASSO) regression analysis was performed on the clinical variables to screen out the characteristic variables. Then we constructed the nomogram prediction model using conditional multivariate logistic regression analysis combined with the clinical variables selected in the LASSO regression analysis. Finally, the decision curve analysis, clinical impact curve, area under the receiver operating characteristic curve, and calibration curve were used to evaluate the nomogram prediction model's clinical applicability, validity, discrimination, and consistency. And we double-validate the prediction model using ten-fold cross-validation and bootstrap validation. Results: In this study, hypertension, HbA1c, mean stent diameter, total stent length, thyroxine, and fibrinogen were all predictive factors for ISR. We successfully constructed a nomogram prediction model using these variables to quantify the risk of ISR. The AUC value of the nomogram prediction model was 0.806 (95%CI: 0.739-0.873), indicating that the model had a good discriminative ability for ISR. The high quality of the calibration curve of the model demonstrated the strong consistency of the model. Moreover, the DCA and CIC curve showed the model's high clinical applicability and effectiveness. Conclusions: Hypertension, HbA1c, mean stent diameter, total stent length, thyroxine, and fibrinogen are important predictors for ISR. The nomogram prediction model can better identify the high-risk population of ISR and provide practical decision-making information for the follow-up intervention in the high-risk population.
Language	English
Publishing date	2023-03-10
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2781496-8
ISSN	2297-055X
ISSN	2297-055X
DOI	10.3389/fcvm.2023.1117915
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Article: Emerging biomolecules for practical theranostics of liver hepatocellular carcinoma.

Hu, Miner / Xia, Xiaojun / Chen, Lichao / Jin, Yunpeng / Hu, Zhenhua / Xia, Shudong / Yao, Xudong

Annals of hepatology

2023 Volume 28, Issue 6, Page(s) 101137

Abstract: Most cases of hepatocellular carcinoma (HCC) are able to be diagnosed through regular surveillance in an identifiable patient population with chronic hepatitis B or cirrhosis. Nevertheless, 50% of global cases might present incidentally owing to ... ...

Abstract	Most cases of hepatocellular carcinoma (HCC) are able to be diagnosed through regular surveillance in an identifiable patient population with chronic hepatitis B or cirrhosis. Nevertheless, 50% of global cases might present incidentally owing to symptomatic advanced-stage HCC after worsening of liver dysfunction. A systematic search based on PUBMED was performed to identify relevant outcomes, covering newer surveillance modalities including secretory proteins, DNA methylation, miRNAs, and genome sequencing analysis which proposed molecular expression signatures as ideal tools in the early-stage HCC detection. In the face of low accuracy without harmonization on the analytical approaches and data interpretation for liquid biopsy, a more accurate incidence of HCC will be unveiled by using deep machine learning system and multiplex immunohistochemistry analysis. A combination of molecular-secretory biomarkers, high-definition imaging and bedside clinical indexes in a surveillance setting offers a comprehensive range of HCC potential indicators. In addition, the sequential use of numerous lines of systemic anti-HCC therapies will simultaneously benefit more patients in survival. This review provides an overview on the most recent developments in HCC theranostic platform.
Language	English
Publishing date	2023-07-13
Publishing country	Mexico
Document type	Journal Article ; Review
ZDB-ID	2188733-0
ISSN	1665-2681
ISSN	1665-2681
DOI	10.1016/j.aohep.2023.101137
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Zs.A 6221: Show issues

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Article ; Online: A case of coronary artery disease with rapid progress triggered by stent implantation.

Feng, Chao / Li, Liang / Xia, Shudong

The Journal of international medical research

2020 Volume 48, Issue 4, Page(s) 300060520918782

MeSH term(s)	Aged ; Coronary Angiography ; Coronary Artery Disease/etiology ; Coronary Artery Disease/physiopathology ; Drug-Eluting Stents/adverse effects ; Female ; Humans ; Myocardial Infarction/surgery ; Treatment Outcome
Language	English
Publishing date	2020-04-23
Publishing country	England
Document type	Case Reports ; Journal Article
ZDB-ID	184023-x
ISSN	1473-2300 ; 0300-0605 ; 0142-2596
ISSN (online)	1473-2300
ISSN	0300-0605 ; 0142-2596
DOI	10.1177/0300060520918782
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 925: Show issues

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Article ; Online: Traditional Chinese Medicine for Patients of Coronary Artery Disease: Savior or Troublemaker? A Cohort Study About the Adherence to Antiplatelet Therapy.

Feng, Chao / Chen, Fuxu / Li, Liang / Li, Qiming / Xia, Shudong

Journal of general internal medicine

2021 Volume 37, Issue 4, Page(s) 981–983

MeSH term(s)	Aspirin ; Cohort Studies ; Coronary Artery Disease/drug therapy ; Drug Therapy, Combination ; Humans ; Medicine, Chinese Traditional ; Platelet Aggregation Inhibitors/therapeutic use
Chemical Substances	Platelet Aggregation Inhibitors ; Aspirin (R16CO5Y76E)
Language	English
Publishing date	2021-02-23
Publishing country	United States
Document type	Letter ; Research Support, Non-U.S. Gov't
ZDB-ID	639008-0
ISSN	1525-1497 ; 0884-8734
ISSN (online)	1525-1497
ISSN	0884-8734
DOI	10.1007/s11606-021-06640-9
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