Hsi-An Chiao Tung Ta Hsueh/Journal of Xi''an Jiaotong University最新文献

{"title":"Mental health of college students of different specialties during the epidemic of coronavirus disease 2019","authors":"Ke Wang, Qi Wang, Bibo Liu, J. Jia, H. Ren, Mingwei Chen","doi":"10.7652/JDYXB202101027","DOIUrl":"https://doi.org/10.7652/JDYXB202101027","url":null,"abstract":"Objective: To investigate the mental health status of college students of different specialties during the outbreak of coronavirus disease 2019 (COVID-19) so as to provide the basis for college students' mental health assessment and psychological crisis intervention Methods: The survey conducted among students of a university in Xi'an was composed of common questionnaires like the Self-rating Anxiety Scale (SAS) and Self-Depression Rating Scale (SDS), and the students' understanding of COVID-19 The differences among students of different specialties were compared by ANOVA and LSD-test Results: A total of 456 students' questionnaires were collected online, with an effective rate of 93 68% During the outbreak of the epidemic, the depression score was 42 51±10 65 points while the overall anxiety score was 38 37±7 46 points, which was higher than the Chinese adult norm score Students of clinical medicine had a higher level of concern over and stress response to COVID-19 than those of other specialties The average SAS and SDS sores differed significantly between the three groups (P< 0 001 for SAS, and P=0 004 for SDS) Anxiety score reached 36 28±7 25 for students of clinical medicine, 39 75±7 00 for students of specialties related to clinical medicine, and 39 35±7 89 for other non-clinical majored students The SAS score of clinical students was significantly lower than that of students of specialties related to clinical medicine (P< 0 001) and non-clinical majored students (P=0 001) The SDS scores were significantly higher for clinical medicine related students (P=0 001) and non-clinical majored students (P=0 027) than for clinical students Conclusion: College students had higher levels of anxiety and depression than the norm score of other adults in China during the epidemic of COVID-19 Compared with students of other specialties, those of clinical medicine were found to have a high level of concern about and stress response to the epidemic of COVID-19, but a lower level of anxiety and depression","PeriodicalId":35774,"journal":{"name":"Hsi-An Chiao Tung Ta Hsueh/Journal of Xi''an Jiaotong University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47283105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An analysis on cure time of patients with COVID-19","authors":"Ting-ting Huang, Si-yu Liu, Xiao-tong Shen, Jia-xin Yang, Jun-xia Zhang, Chang-hua Ning, Lei Cao, Yong-xiao Cao","doi":"10.7652/JDYXB202101022","DOIUrl":"https://doi.org/10.7652/JDYXB202101022","url":null,"abstract":"Objective: To analyze the cure time from diagnosis to cure of coronavirus disease 2019(COVID-19) Methods: Based on the time of admission, diagnosis, and discharge of cured cases announced by the provincial and municipal health committees, the average period from diagnosis to discharge was calculated And based on the aggregate data including the cumulative number of diagnoses, the number of curedcases and the number of deaths and their proportional relationship, we calculated the cure time Results: The cure time curve of 580 COVID-19 patients had skewed distribution, with a skewness of 1 09, a mean cure time of (14 6±6 7) days, a median of 13 days, and a 95% confidence interval (6 9, 21 0) The average cure time calculated based on the relationship between the cumulative number of diagnoses, the number of cured cases and the number of deaths was (13 3±3 5)d, with a median of 13 5 d The average value of the cure time calculated based on the proportion of cured cases to the number of endpoints was (14 2±4 2)d, with the median number of 14 5 d Based on the calculation of the relationship between the cumulative number of diagnosed cases, the number of cured cases and the number of deaths, the median cure time of cases with COVID-19 in Wuhan, Hubei Province, and the whole country was 15 days, 15 5 days and 15 days, respectively The mediancure time for COVID-19cases in Wuhan, Hubei, and the whole country was 14 days Conclusion: The median cure time of COVID-19 is 13-15 5 days There is some variation at different time of the outbreak, but there is not much difference between different regions","PeriodicalId":35774,"journal":{"name":"Hsi-An Chiao Tung Ta Hsueh/Journal of Xi''an Jiaotong University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43583507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reflections and understanding of the extracorporeal organ support in critically illpatients with COVID-19","authors":"Chun Zhang, X. Si, Ting Lin, Na Li, Shuo Zhao, Sinan Liu, Runchen Miao, Jingyao Zhang, Zheng Wang, Chang Liu","doi":"10.7652/JDYXB202101018","DOIUrl":"https://doi.org/10.7652/JDYXB202101018","url":null,"abstract":"SARS-CoV-2 can cause multiple organ injuries in some susceptible people in a short time, which seriously threatens the health and safety of people, and intensive care and multiple extracorporeal organ support are important means of treatment Although many experts' consensus and clinical guidelines have been published, a series of clinical problemsstill exist during the treatment procedure, and no consensushas not been reached until now Therefore, in this paper wemake some reflections and explorations to provide experience and help for clinicians","PeriodicalId":35774,"journal":{"name":"Hsi-An Chiao Tung Ta Hsueh/Journal of Xi''an Jiaotong University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45376240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genomics study of human lung epithelial cells against new coronavirus SARS-CoV-2 infection","authors":"S. Wang, Y. Yang, X. Xie, J. Li, Rui Zhang","doi":"10.7652/jdyxb202105003","DOIUrl":"https://doi.org/10.7652/jdyxb202105003","url":null,"abstract":"Objective: Based on the high-throughput sequencing data of the whole genome, genomics and bioinformatics analyses were made to analyze the gene expression changes in the epithelial cells of the lung tissue from patients with coronavirus disease 2019(COVID-19), and explore the effects of the new coronavirus SARS-CoV-2 on human lungs. This study can provide a theoretical basis for the exploration of SARS-CoV-2 on the pathogenesis of lung tissue. Methods: The public data set GSE160435 was retrieved. The data were analyzed by Network analyst, Cytoscape 3. 7. 2, String 11. 0, and other software. The differentially expressed genes were screened, gene function (Gene Ontology, GO)and signal pathway KEGG(Kyoto Encyclopedia of Genes and Genomes)enrichment analysis were carried out. We established the Protein-protein Interactions Network(PPI), PPI of lung tissue-specific DEGs, DEG microRNA regulatory network, Transcription Factor(TF)-DEG regulatory network, and environmental chemicals DEGs regulatory network. Results: We found 324 DEGs in the lung epithelial cells of patients with COVID-19, of which 112(34. 57%) were upregulated and 212(65.43%)were downregulated. Enrichment analysis showed that DEGs were mainly involved in biological processes such as virus-related defense response, mainly involved in protein digestion and absorption, antihuman papillomavirus infection and other signaling pathways. Specific PPI network closely related to DEGs and lung tissue showed that PDGFRB and KIT were core proteins;hsa-mir-340 had targeted interaction with DEGs. It indicated that HOXB4, ISG15 and other related genes were regulated by transcription factors;DEGs interacted with environmental chemicals such as nickel and estradiol. Conclusion: The gene expression pattern of lung epithelial cells in lung tissue of COVID-19 patients has changed significantly. Proteins or genes such as PDGFRB, MMP9 and KIT may play a vital role in the defense immunity of lung tissue. Micro-RNA, TF, signaling pathway molecules, environmental chemicals, and lung tissue-specific genes also play a role in the above-mentioned process. This study provides new ideas for exploring the pathogenic mechanism of SARS-CoV-2 on lung tissue and formulating clinical prevention, diagnosis and treatment measures.","PeriodicalId":35774,"journal":{"name":"Hsi-An Chiao Tung Ta Hsueh/Journal of Xi''an Jiaotong University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71374121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drug-resistance of MDR-TB in Xi'an between 2018 and 2020 and the impact of COVID-19 epidemic prevention and control on it","authors":"H. Yang, Y. Cheng, H. Ma, Yanzhong Li, B. Han","doi":"10.7652/jdyxb202104012","DOIUrl":"https://doi.org/10.7652/jdyxb202104012","url":null,"abstract":"Objective: To understand the epidemic status of drug-resistant Mycobacteriun tuberculosis in Xi'an in the past three years, and the impact of COVID-19 epidemic during 2020 so as to provide basic information for local multidrug-resistant tuberculosis (MDR-TB) prevention and treatment. Methods: Tuberculosis (TB) detected by sputum culture, the corresponding drug susceptibility tests data, and basic clinical information of TB patients diagnosed in Xi'an from January 2018 to October 2020 were collected from the management system;then the epidemic status and the drug resistance status were analyzed. Multinomial logistic regression was used to analyze the relationship between the patients' treatment history and the drug resistance of TB strains, and the trend of changes in the drug resistance rate in retreated patients. Results: In the past three years, there was a total drug resistance rate of 25.3% in 5 146 strains of MTB, and 24.8% in treatment initiation and 38.22% in retreatment, respectively. The treatment initiation patients showed a decreased MDR-TB detection rate, and the retreated patients had an increased MDR-TB detection rate. The spectrum of MDR-TB in the retreated patients gradually became more complicated, and the resistance rate of second-line drugs such as Kanamycin and Ofloxacin gradually increased. There were 10 drug-resistant combinations mainly in H+R+S and H+R+S+E. During the year 2020 of COVID-19 epidemic, the number of initial and retreated patients decreased significantly compared with that in 2018 and 2019, but with no difference in the drug-resistance rate. There was an increasing detection rate of PDR and MDR-TB strains in the retreated patients. Multinomial logistic regression results showed that in 2020 the retreated patients had 4.28 times of developing PDR-TB (P=0.001, 95% CI=1.417-12.930), and 5.378 times of developing MDR-TB (P< 0.001, 95% CI=2.641-10.952) than patients of treatment initiation. Conclusion: In the past three years, the prevention and control of drug-resistant TB in Xi'an has achieved some progress, but drug resistance in retreated patients is still serious. To avoid and reduce the development of drug-resistant TB, precise and active intervention measures should be taken, and health management of TB patients should be strengthened, especially during the current period of COVID-19 epidemic prevention and control. © 2021, Editorial Board of Journal of Xi'an Jiaotong University (Medical Sciences). All right reserved.","PeriodicalId":35774,"journal":{"name":"Hsi-An Chiao Tung Ta Hsueh/Journal of Xi''an Jiaotong University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71374089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Layout and management of the surgical intensive care unit during the novel coronavirus infection epidemic period","authors":"C. Shen, Bao-Ru Li, Xi Li, Sinan Liu, Xiaoxia Xin, Zengli Sun, Qingguang Liu, Chang Liu, Zheng Wu, Z. Wang","doi":"10.7652/JDYXB202005026","DOIUrl":"https://doi.org/10.7652/JDYXB202005026","url":null,"abstract":"Objective: To discuss the key points of reconstruction from the surgical intensive care unit (SICU) to the negative pressure isolation ward which can treat patients with novel coronavirus pneumonia (NCP, COVID-19) Methods: The key points of the reconstruction are as follows: establishment of \"three zones and two passages\", transformation of the ventilation system, process management of personnel access room, and introduction of the visual management concept Results: The reconstructed SICU can maintain the original space area As for space layout, there are separate clean zone, semi-polluted zone and polluted zone as well as a separate passage for patients and medical personnel respectively, without the two groups of people contacting each other To achieve positive air pressure in the clean zone, negative air pressure in the semi-polluted zone is -5 Pa to -10 Pa, and negative air pressure in the patient zone is -10 Pa to -20 Pa And we ensure that the pressure difference (negative pressure) in adjacent rooms with the same pollution level is not less than 5 Pa Under normal circumstances, the pressure can be switched to positive one for admission of general ICU patients Results: Through the reconstruction, the SICU can meet the requirements of treatment of COVID-19 patients The main points of reconstruction are space layout and the air conditioning and ventilation system","PeriodicalId":35774,"journal":{"name":"Hsi-An Chiao Tung Ta Hsueh/Journal of Xi''an Jiaotong University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46091761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis and reflection on the transmission routes of SARS-COV-2","authors":"Jingmin Yuan, H. Ren, Yan Sun, Ke Wang, Mingwei Chen","doi":"10.7652/JDYXB202004006","DOIUrl":"https://doi.org/10.7652/JDYXB202004006","url":null,"abstract":"","PeriodicalId":35774,"journal":{"name":"Hsi-An Chiao Tung Ta Hsueh/Journal of Xi''an Jiaotong University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46310678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Management of novel coronavirus infection in ICU","authors":"Cunyi Shen, W. Tan, Xi Li, Jingyao Zhang, Qingguang Liu, Chang Liu, Zheng Wu, Zheng-Guo Wang","doi":"10.7652/JDYXB202004004","DOIUrl":"https://doi.org/10.7652/JDYXB202004004","url":null,"abstract":"Coronavirus disease 2019 (COVID-19) is highly infectious and seriously harmful to human health. According to the clinical characteristics of COVID-19, it can be classified into mild, moderate, severe and critical ones. The treatment for critical cases is an important factor of reducing the mortality rate of the disease and is always dependent on the intensive care unit (ICU). The ICU therapy strategies involve not only curing the critical cases, but also avoiding cross infection in the same ward. Therefore, we have formulated detailed response management strategies, including the establishment of core groups, standardization of diagnosis and treatment process, strengthening personnel management, multimodal training assessment, and overall allocation of protection materials. We hope the strategies can provide reference for relevant ICUs.","PeriodicalId":35774,"journal":{"name":"Hsi-An Chiao Tung Ta Hsueh/Journal of Xi''an Jiaotong University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48963956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influences of Contact Force Models on Analysis of Multibody Systems Involving Joints with Clearance","authors":"Fang Yang, Wei Chen, Pei Li","doi":"10.7652/XJTUXB201711015","DOIUrl":"https://doi.org/10.7652/XJTUXB201711015","url":null,"abstract":"","PeriodicalId":35774,"journal":{"name":"Hsi-An Chiao Tung Ta Hsueh/Journal of Xi''an Jiaotong University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44510217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Construction Strategy of Molecular Model Based on Coupling Stack and Pore Size Distribution for High-Sodium Coal Char","authors":"Chang’an Wang, J. K. Watson, E. Louw, D. Che, J. Mathews","doi":"10.7652/XJTUXB201709001","DOIUrl":"https://doi.org/10.7652/XJTUXB201709001","url":null,"abstract":"","PeriodicalId":35774,"journal":{"name":"Hsi-An Chiao Tung Ta Hsueh/Journal of Xi''an Jiaotong University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47022013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}