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Objective:To investigate the correlation between triglyceride-glucose (TyG) index and high on-treatment platelet reactivity (HTPR) during clopidogrel treatment in patients with ischemic stroke.Methods:Patients with ischemic stroke who received maintenance dose of clopidogrel (75 mg/d) in the Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine from January 2017 to March 2021 were retrospectively included. The highest quartile (Q4) of the TyG index was defined as insulin resistance. Platelet reactivity was assessed by thromboelastogram and clopidogrel HTPR was defined as the clot strength induced by adenosine diphosphate (MA ADP) >47 mm. Multivariate regression model was used to analyze the independent correlation between TyG index and platelet reactivity. Results:A total of 83 patients were included. The TyG index showed a linear correlation with MA ADP. The patients were divided into 4 groups according to the quartile of TyG index. The incidence of clopidogrel HTPR increased significantly with the increase of the quartile of the TyG index ( Ptrend=0.017). Multivariate analysis showed that there was a significant independent correlation between insulin resistance and clopidogrel HTPR (odds ratio 4.597, 95% confidence interval 1.285-16.446; P=0.019). Conclusions:In patients with ischemic stroke treated with clopidogrel, the incidence of clopidogrel HTPR gradually increases with the increase of the quartile of the TyG index. The insulin resistance assessed by the TyG index is independently associated with clopidogrel HTPR.
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Essential palatal tremor is relatively rare in clinical practice, which manifests involuntary and rhythmic contraction of soft-palate along with auditory click. The cause is unknown and there is no specific treatment at present. This article reports a female patient with essential palatine tremor, who presented with involuntarily beating of soft palate, disappeared during sleep, had sensory tricks, and gradually developed mental and psychological problems such as anxiety disorders. After treatment with integrated traditional Chinese and Western medicine, the symptoms improved. The clinical features of the case were analyzed, relevant literature was reviewed, and the possible etiology and characteristics of the disease were explored, so as to provide reference for clinical diagnosis and treatment.
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BackgroundIn December 2019, some COVID-19 cases were first reported and soon the disease broke out. As this dreadful disease spreads rapidly, the mass media has been active in community education on COVID-19 by delivering health information about this novel coronavirus. MethodsWe adopted the Huike database to extract news articles about coronavirus from major press media, between January 1st, 2020, to February 20th, 2020. The data were sorted and analyzed by Python software and Python package Jieba. We sought a suitable topic number using the coherence number. We operated Latent Dirichlet Allocation (LDA) topic modeling with the suitable topic number and generated corresponding keywords and topic names. We divided these topics into different themes by plotting them into two-dimensional plane via multidimensional scaling. FindingsAfter removing duplicates, 7791 relevant news reports were identified. We listed the number of articles published per day. According to the coherence value, we chose 20 as our number of topics and obtained their names and keywords. These topics were categorized into nine primary themes based on the topic visualization figure. The top three popular themes were prevention and control procedures, medical treatment and research, global/local social/economic influences, accounting for 32{middle dot}6%, 16{middle dot}6%, 11{middle dot}8% of the collected reports respectively. InterpretationThe Chinese mass media news reports lag behind the COVID-19 outbreak development. The major themes accounted for around half the content and tended to focus on the larger society than on individuals. The COVID-19 crisis has become a global issue, and society has also become concerned about donation and support as well as mental health. We recommend that future work should address the mass medias actual impact on readers during the COVID-19 crisis through sentiment analysis of news data. FundingNational Social Science Foundation of China (18CXW021) Evidence before this studyThe novel coronavirus related news reports have engaged public attention in China during the COVID-19 crisis. Topic modeling of these news articles can produce useful information about the significance of mass media for early health communication. We searched the Huike database, the most professional Chinese media content database, using the search term "coronavirus" for related news articles published from January 1st, 2020, to February 20th, 2020. We found that these articles can be classified into different themes according to their emphasis, however, we found no other studies apply topic modeling method to study them. Added value of this studyTo our knowledge, this study is the first to investigate the patterns of health communications through media and the role the media have played and are still playing in the light of the current COVID-19 crisis in China with topic modeling method. We compared the number of articles each day with the outbreak development and identified theres a delay in reporting COVID-19 outbreak progression for Chinese mass media. We identify nine main themes for 7791 collected news reports and detail their emphasis respectively. Implications of all the available evidenceOur results show that the mass media news reports play a significant role in health communication during the COVID-19 crisis, government can strengthen the report dynamics and enlarge the news coverage next time another disease strikes. Sentiment analysis of news data are needed to assess the actual effect of the news reports.