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Analysis of risk factors for early stent thrombosis in the Chinese population:A multicenter restrospective study

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World Journal of Emergency Medicine 2021年第3期12卷 192-197页

作者： Yu-peng Wang Lei Ding Rui-tao Zhang Xiao-zeng Wang Dan-qing Yu Shou-yan Hao Jin-wei Tian Zhen-yu Liu Xiang-qian Qi Hu Tan Hong-yi Wu Feng-hua Ding Li-jun Guo Ya-ling Han department of cardiology and Institute of Vascular Medicine Peking University Third HospitalNHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory PeptidesKey Laboratory of Molecular Cardiovascular ScienceMinistry of EducationBeijing Key Laboratory of Cardiovascular Receptor ResearchBeijing 100191China department of cardiology General Hospital of Northern Theatre CommandShenyang 110016China department of cardiology Guangdong Cardiovascular InstituteGuangdong Provincial Key Laboratory of Coronary Heart Disease PreventionGuangdong Provincial People’s HospitalGuangdong Academy of Medical SciencesGuangzhou 510080China department of cardiology the First Hospital of Jilin UniversityChangchun 130021China department of cardiology the Second Affi liated Hospital of Harbin Medical UniversityKey Laboratory of Myocardial IschemiaMinistry of EducationHarbin 150001China department of cardiology Peking Union Medical College HospitalChinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing 100730China TEDA international Cardiovascular Hospital Tianjin 300457China Institute of Cardiovascular Diseases of PLA the Second Affi liated HospitalArmy Medical UniversityChongqing 400037China department of cardiology Zhongshan HospitalFudan UniversityShanghai 200032China department of cardiology Ruijin HospitalShanghai Jiaotong University School of MedicineShanghai 200025China

BACKGROUND:The predictive scoring systems for early stent thrombosis(EST)remains blank in *** study aims to evaluate the risk factors and conduct a prediction model of EST in the Chinese ***:EST was defined as thrombosis that occurs within the first 30 days after primary percutaneous coronary intervention(PCI).Patients from ten Chinese hospitals diagnosed as stent thrombosis(ST)from January 2010 to December 2016 were retrospectively included as the study group.A control group(1 case:2 controls)was created by including patients without ST,major adverse cardiovascular events,or cerebrovascular events during *** present study evaluated 426 patients with single-vessel lesions and ultimately included 40 patients with EST and 80 control patients,who were included to identify factors that predicted EST and to develop a prediction scoring *** other 171 patients without integrated 1:2 pair were used for external ***:EST was independently associated with a low hemoglobin concentration(adjusted odds ratio[OR]0.946,95%confi dence interval[95%CI]0.901-0.993,P=0.026),a high pre-PCI Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery(SYNTAX)score(OR 1.166,95%CI 1.049-1.297,P=0.004),and a DAPT(DAPT)duration of<30 days(OR 28.033,95%CI 5.302-272.834,P<0.001).The simple EST prediction score provided an area under the curve(AUC)of 0.854(95%CI 0.777-0.932,P<0.001)with 70.0%sensitivity and 90.0%specifi city,and 0.742(95%CI 0.649-0.835,P<0.001)with 54.5%sensitivity and 81.0%specifi city for external validation ***:EST may be independently associated with DAPT discontinuation within 30 days,a low hemoglobin concentration,and a high SYNTAX *** scoring system also has a good ability to predict the risk of EST and may be useful in the clinical setting.

关键词： Coronary heart disease Stent thrombosis Risk stratifi cation Predictive scoring system

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World Journal of cardiology 2023年第10期15卷 479-486页

作者： Mo-Wei Kong Zhen-Ying Pei Xiong Zhang Qiu-Juan Du Qiang Tang Jun Li Guo-Xiang He department of cardiology Guiqian International General HospitalGuiyang 550018Guizhou ProvinceChina

Despite the high prevalence of straight back syndrome(SBS),there is still limited research on this condition,posing challenges for effective diagnosis and *** disease has been known for a long time,but there have been few related studies,which mostly consist of case *** studies have not been systematically summarized,making it difficult to meet the current needs of diagnosis and *** article summarized the existing literature and comprehensively reviewed the diagnosis,pathogenesis,treatment,and research status of mitral valve prolapse related to *** specifically emphasized the mechanisms and prognosis of SBS combined with mitral valve prolapse and discussed the latest research progress in this disease.

关键词： Straight back syndrome Mitral valve prolapse Arrhythmia Review Diagnosis Treatment

Multimodal Deep Neural Networks for Digitized Document Classification

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Computer Systems Science & Engineering 2024年第3期48卷 793-811页

作者： Aigerim Baimakhanova Ainur Zhumadillayeva Bigul Mukhametzhanova Natalya Glazyrina Rozamgul Niyazova Nurseit Zhunissov Aizhan Sambetbayeva department of Computer Engineering Khoja Akhmet Yassawi International Kazakh-Turkish UniversityTurkistanKazakhstan department of Computer and Software Engineering L.N.Gumilyov Eurasian National UniversityAstanaKazakhstan department of Information and Computing Systems Non-Profit Joint Stock Company Abylkas Saginov Karaganda Technical UniversityKaragandaKazakhstan department of Information Systems Al-Farabi Kazakh National UniversityAlmatyKazakhstan

As digital technologies have advanced more rapidly,the number of paper documents recently converted into a digital format has exponentially *** respond to the urgent need to categorize the growing number of digitized documents,the classification of digitized documents in real time has been identified as the primary goal of our study.A paper classification is the first stage in automating document control and efficient knowledge discovery with no or little human *** intelligence methods such as Deep Learning are now combined with segmentation to study and interpret those traits,which were not conceivable ten years *** learning aids in comprehending input patterns so that object classes may be *** segmentation process divides the input image into separate segments for a more thorough image *** study proposes a deep learning-enabled framework for automated document classification,which can be implemented in higher *** further this goal,a dataset was developed that includes seven categories:Diplomas,Personal documents,Journal of Accounting of higher education diplomas,service letters,Orders,Production orders,and Student ***,a deep learning model based on Conv2D layers is proposed for the document classification *** the final part of this research,the proposed model is evaluated and compared with other machine-learning *** results demonstrate that the proposed deep learning model shows high results in document categorization overtaking the other machine learning models by reaching 94.84%,94.79%,94.62%,94.43%,94.07%in accuracy,precision,recall,F-score,and AUC-ROC,*** achieved results prove that the proposed deep model is acceptable to use in practice as an assistant to an office worker.

关键词： Document categorization deep learning machine learning classification digitization

Need for surveillance of concomitant peripheral artery disease in patients with coronary disease: results of the AGATHA survey in Malaysia

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Journal of Geriatric cardiology 2007年第4期4卷 195-199页

作者： Kui Hian Sim Kok Han Chee Inderjit Singh Choon Kiat Ang HoungBang Liew Kim Heung Tan Omar Ismail department of cardiology Sarawak General Hospital Sarawak Malaysia department of cardiology Universiti Malaya Medical Centre Petaling Jaya Malaysia department of cardiology Penang General Hospital Penang Malaysia

Background For patients with cardiovascular disease (CVD), co-existence of peripheral artery disease (PAD) predicts increased mortality, and such patients are also more likely to benefit from aggressive therapy. Surveillance of PAD is often neglected at health clinics. Our aim is to highlight the importance and ease of surveillance of PAD in patients with CVD. Objective To determine the prevalence of symptomatic and asymptomatic PAD in a Malaysian patient population with documented CVD. Methods and Results A total of 393 subjects with established CVD were recruited from three centres (85 women and 308 men), as part of a larger international (AGATHA) survey. PAD, determined by presence of claudicant symptoms on interview and/or abnormal ankle-brachial index (ABI) score of less than 0.9, was present in 21.4% of patients-of whom 64% were asymptomatic. Abnormal ABI is associated with higher systolic blood pressure and number of arterial beds affected. Conclusions Concomitant PAD is prevalent among CVD patients in Malaysia. ABI screening is simple and yields a high proportion of patients with extensive atherosclerosis who may require more aggressive atherosclerotic risk management.(J Geriatr Cardiol 2007;4:195-199.)

关键词： arteriosclerosis atherothrombosis Malaysia cardiovascular diseases epidemiologic factors anklebrachial index peripheral arterial disease

Comparison of bevacizumab and ranibizumab in agerelated macular degeneration: a systematic review and meta-analysis

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international Journal of Ophthalmology(English edition) 2014年第2期7卷 355-364页

作者： Xiao-Yu Zhang Xiao-Fan Guo Shao-Dan Zhang Jing-Na He Cao-Yu Sun Yin Zou Han-Si Bi Yang Qu department of Ophthalmology the Fourth People's Hospital of Shenyang department of cardiology the First Hospital of China Medical University

AIMTo compare the effectiveness and safety between bevacizumab and ranibizumab in the treatment of age-related macular degeneration (AMD) through a systematic review and meta-analysis.

关键词： age-related macular degeneration bevacizumab ranibizumab

Issues in the Mining of Heart Failure Datasets

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international Journal of Automation and computing 2014年第2期11卷 162-179页

作者： Nongnuch Poolsawad Lisa Moore Chandrasekhar Kambhampati John G.F.Cleland Intelligent Systems Research Group(IS Department of Computer Science) University of Hull Hull York medical School Department of CardiologyUniversity of Hull

This paper investigates the characteristics of a clinical dataset using a combination of feature selection and classification methods to handle missing values and understand the underlying statistical characteristics of a typical clinical dataset. Typically, when a large clinical dataset is presented, it consists of challenges such as missing values, high dimensionality, and unbalanced classes. These pose an inherent problem when implementing feature selection and classification algorithms. With most clinical datasets, an initial exploration of the dataset is carried out, and those attributes with more than a certain percentage of missing values are eliminated from the dataset. Later, with the help of missing value imputation, feature selection and classification algorithms, prognostic and diagnostic models are developed. This paper has two main conclusions: 1) Despite the nature of clinical datasets, and their large size, methods for missing value imputation do not affect the final performance. What is crucial is that the dataset is an accurate representation of the clinical problem and those methods of imputing missing values are not critical for developing classifiers and prognostic/diagnostic models. 2) Supervised learning has proven to be more suitable for mining clinical data than unsupervised methods. It is also shown that non-parametric classifiers such as decision trees give better results when compared to parametric classifiers such as radial basis function networks(RBFNs).

关键词： Heart failure clinical dataset classification clustering missing values feature selection.

Exploring the interplay between climate change and schistosomiasis transmission dynamics

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Infectious Disease Modelling 2024年第1期9卷 158-176页

作者： Zadoki Tabo Chester Kalinda Lutz Breuer Christian Albrecht department of Animal Ecology and Systematics Justus Liebig University GiessenHeinrich-Buff-Ring 26(iFZ)35392 GiessenGermany department of Landscape Ecology and Resource Management Justus Liebig University GiessenHeinrich-Buff-Ring 26(iFZ)35392 GiessenGermany Centre for international Development and Environmental Research(ZEU) Justus Liebig University GiessenSenckenbergstrasse 335390 GiessenGermany Bill and Joyce Cummings Institute of Global Health University of Global Health Equity|Kigali HeightsPlot 772 KG 7 Ave.PO Box 6955KigaliRwanda

Schistosomiasis, a neglected tropical disease caused by parasitic worms, poses a major public health challenge in economically disadvantaged regions, especially in Sub-Saharan Africa. Climate factors, such as temperature and rainfall patterns, play a crucial role in the transmission dynamics of the disease. This study presents a deterministic model that aims to evaluate the temporal and seasonal transmission dynamics of schistosomiasis by examining the influence of temperature and rainfall over time. Equilibrium states are examined to ascertain their existence and stability employing the center manifold theory, while the basic reproduction number is calculated using the next-generation technique. To validate the model's applicability, demographic and climatological data from Uganda, Kenya, and Tanzania, which are endemic East African countries situated in the tropical region, are utilized as a case study region. The findings of this study provide evidence that the transmission of schistosomiasis in human populations is significantly influenced by seasonal and monthly variations, with incidence rates varying across countries depending on the frequency of temperature and rainfall. Consequently, the region is marked by both schistosomiasis emergencies and re-emergences. Specifically, it is observed that monthly mean temperatures within the range of 22–27 °C create favorable conditions for the development of schistosomiasis and have a positive impact on the reproduction numbers. On the other hand, monthly maximum temperatures ranging from 27 to 33 °C have an adverse effect on transmission. Furthermore, through sensitivity analysis, it is projected that by the year 2050, factors such as the recruitment rate of snails, the presence of parasite egg-containing stools, and the rate of miracidia shedding per parasite egg will contribute significantly to the occurrence and control of schistosomiasis infections. This study highlights the significant influence of seasonal and mo

关键词： Modeling Schistosomiasis transmission Temperature Rainfall Basic reproduction number East Africa

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用于学习和解释行人预期行为的群体交互场

Engineering 2024年第3期34卷 70-82页

作者： Xueyang Wang Xuecheng Chen Puhua Jiang Haozhe Lin Xiaoyun Yuan Mengqi Ji Yuchen Guo Ruqi Huang Lu Fang Sigma Laboratory Department of Electronic EngineeringTsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China Tsinghua Shenzhen international Graduate School Shenzhen 518055China department of Automation Tsinghua UniversityBeijing 100084China Institute of Artificial Intelligence Beihang UniversityBeijing 100191China Zhejiang Future Technology Institute Yangtze Delta Region Institute of Tsinghua UniversityZhejiangJiaxing 314033China

Anticipating others’actions is innate and essential in order for humans to navigate and interact well with others in dense *** ability is urgently required for unmanned systems such as service robots and self-driving ***,existing solutions struggle to predict pedestrian anticipation accurately,because the influence of group-related social behaviors has not been well *** group relationships and group interactions are ubiquitous and significantly influence pedestrian anticipation,their influence is diverse and subtle,making it difficult to explicitly ***,we propose the group interaction field(GIF),a novel group-aware representation that quantifies pedestrian anticipation into a probability field of pedestrians’future locations and attention *** end-to-end neural network,GIFNet,is tailored to estimate the GIF from explicit multidimensional *** quantifies the influence of group behaviors by formulating a group interaction graph with propagation and graph attention that is adaptive to the group size and dynamic interaction *** experimental results show that the GIF effectively represents the change in pedestrians’anticipation under the prominent impact of group behaviors and accurately predicts pedestrians’future ***,the GIF contributes to explaining various predictions of pedestrians’behavior in different social *** proposed GIF will eventually be able to allow unmanned systems to work in a human-like manner and comply with social norms,thereby promoting harmonious human-machine relationships.

关键词： Human behavior modeling and prediction Implicit representation of pedestrian anticipation Group interaction Graph neural network

Advancing immunosuppression in liver transplantation: A narrative review

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Hepatobiliary & Pancreatic Diseases international 2024年第5期23卷 441-448页

作者： Samuele Iesari Francesca Laura Nava Ilaria Elena Zais Laurent Coubeau Mariano Ferraresso Evaldo Favi Jan Lerut General Surgery and Kidney Transplantation Fondazione IRCCS Ca’Granda Ospedale Maggiore Policlinico15 Via della Commenda20122 MilanItaly Institut de Recherche Expérimentale et Clinique Universitécatholique de Louvain10 Avenue Hippocrate1200 BrusselsBelgium service de Chirurgie et Transplantation Abdominale Cliniques Universitaires Saint-Luc55 Avenue Hippocrate1200 BrusselsBelgium department of Clinical Sciences and Community Health Universitàdegli Studi di Milano19 Via della Commenda20122 MilanItaly

Immunosuppression is essential to ensure recipient and graft survivals after liver transplantation(LT). However, our understanding and management of the immune system remain suboptimal. Current immunosuppressive therapy cannot selectively inhibit the graft-specific immune response and entails a significant risk of serious side effects, i.e., among others, de novo cancers, infections, cardiovascular events, renal failure, metabolic syndrome, and late graft fibrosis, with progressive loss of graft function. Pharmacological research, aimed to develop alternative immunosuppressive agents in LT, is behind other solidorgan transplantation subspecialties, and, therefore, the development of new compounds and strategies should get priority in LT. The research trajectories cover mechanisms to induce T-cell exhaustion, to inhibit co-stimulation, to mitigate non-antigen-specific inflammatory response, and, lastly, to minimize the development and action of donor-specific antibodies. Moreover, while cellular modulation techniques are complex, active research is underway to foster the action of T-regulatory cells, to induce tolerogenic dendritic cells, and to promote the function of B-regulatory cells. We herein discuss current lines of research in clinical immunosuppression, particularly focusing on possible applications in the LT setting.

关键词： Liver transplantation Immunosuppression Drug development Long-term results Clinical operational tolerance