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Positive Charges on Lysine Residues of the Extrinsic 18 kDa Protein Are Important to Its Electrostatic Interaction with Spinach Photosystem Ⅱ Membranes

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Acta Biochimica et Biophysica Sinica 2005年第11期37卷 737-742页

作者： jin-peng gao zhen-hua yong feng zhang kang-cheng ruan chun-he xu gen-yun chen institute of plant physiology & ecology.shanghai institutes for biological sciences,chinese academy of sciences,shanghai 200032,china Laboratory of Proteomics,institute of Biochemistry and Cell Biology,shanghai institutes for biological sciences,chinese academy of sciences,shanghai 200031,china College of sciences,Zhejiang University.Hangzhou 310029,china Graduate School of the chinese academy of sciences,shanghai 200032,china institute of plant physiology & ecology Shanghai Institutes for Biological Sciences Chinese Academy of SciencesShanghai 200032 China Graduate School of the chinese academy of sciencesshanghai 200032 China College of sciences Zhejiang UniversityHangzhou 310029 China Laboratory of Proteomics Institute of Biochemistry and Cell Biology Shanghai Institutes for Biological Sciences Chinese Academy of SciencesShanghai 200031 China

To determine the contribution of charged amino acids to binding with the photosystem Ⅱcomplex(PSⅡ),the amino or carboxyl groups of the extrinsic 18 kDa protein were modified with N-succinimidyl propionate(NSP)or glycine methyl ester(GME)in the presence of a water-soluble carbodiimide,*** on isoelectric point shift,4-10 and 10-14 amino groups were modified in the presence of2 and 4 mM NSP,***,3-4 carboxyl groups were modified by reaction with *** of negatively charged carboxyl groups with GME did not alter the binding activity of theextrinsic 18 kDa ***,the NSP-modified 18 kDa protein,in which the positively charged aminogroups had been modified to uncharged methyl esters,failed to bind with the PSⅡ membrane in the presenceof the extrinsic 23 kDa *** defect can not be attributed to structural or conformational alterationsimposed by chemical modification,as the fluorescence and circular dichroism spectra among native,GME-and NSP-modified extrinsic 18 kDa proteins were ***,we have concluded that the positive chargesof lysyl residues in the extrinsic 18 kDa protein are important for its interaction with PSⅡ membranes in thepresence of the extrinsic 23 kDa ***,it was found that the negative charges of carboxylgroups of this protein did not participate in binding with the extrinsic 23 kDa protein associated with PSⅡmembranes.

关键词： extrinsic 18 kDa protein circular dichroism electrostatic interaction chemical modification

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A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus(2019-nCoV) infected pneumonia(standard version)

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Military Medical Research 2020年第1期7卷 1-22页

作者： Ying-Hui jin Lin Cai zhen-Shun cheng Hong cheng Tong Deng Yi-Pin Fan cheng Fang Di huang Lu-Qi huang Qiao huang yong Han Bo Hu Fen Hu Bing-Hui Li Yi-Rong Li Ke Liang Li-Kai Lin Li-Sha Luo jing Ma Lin-Lu Ma Zhi-yong peng yun-Bao Pan zhen-Yu Pan xue-Qun Ren Hui-Min Sun Ying Wang yun-yun Wang Hong Weng Chao-Jie Wei Dong-Fang Wu Jian Xia yong Xiong Hai-Bo xu Xiao-Mei Yao Yu-feng Yuan Tai-Sheng Ye Xiao-chun zhang Ying-Wen zhang Yin-gao zhang hua-Min zhang Yan Zhao Ming-Juan Zhao Hao Zi Xian-Tao Zeng yong-Yan Wang Xing-huan Wang 无 Center for Evidence-Based and Translational Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China institute of Hospital Management Wuhan UniversityWuhan 430071China Department of Respiratory Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Pharmacy Zhongnan Hospital of Wuhan UniversityWuhan 430071China institute of Evidence-Based Medicine and Knowledge Translation Henan UniversityKaifeng 475000China china academy of chinese Medical sciences Beijing 100700China china Center for Evidence Based Traditional chinese Medicine(CCEBTCM) Beijing 100700China Department of Critical Care Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Clinical Laboratory Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Infectious Diseases Zhongnan Hospital of Wuhan UniversityWuhan 430071China Division of Medical Affairs Zhongnan Hospital of Wuhan UniversityWuhan 430071China Division of Nursing Affairs Zhongnan Hospital of Wuhan UniversityWuhan 430071China Office of Nosocomial Infection Control Zhongnan Hospital of Wuhan UniversityWuhan 430071China Emergency Center Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Radiology Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of health Research Methods Evidenceand ImpactMcMaster UniversityHamiltonON L8S 4L8Canada Department of Traditional chinese Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China Global health institute Wuhan UniversityWuhan 430072China the Zhongnan Hospital of Wuhan University Novel Coronavirus Management and Research Team Evidence-Based Medicine Chapter of china International Exchange and Promotive Association for Medical and health Care(CPAM)

In December 2019, a new type viral pneumonia cases occurred in Wuhan, Hubei Province;and then named "2019 novel coronavirus(2019-nCoV)" by the World health Organization(WHO) on 12 January 2020. For it is a never been experienced respiratory disease before and with infection ability widely and quickly, it attracted the world’s attention but without treatment and control manual. For the request from frontline clinicians and public health professionals of 2019-nCoV infected pneumonia management, an evidence-based guideline urgently needs to be developed. Therefore, we drafted this guideline according to the rapid advice guidelines methodology and general rules of WHO guideline development;we also added the first-hand management data of Zhongnan Hospital of Wuhan University. This guideline includes the guideline methodology, epidemiological characteristics, disease screening and population prevention, diagnosis, treatment and control(including traditional chinese Medicine), nosocomial infection prevention and control, and disease nursing of the 2019-nCoV. Moreover, we also provide a whole process of a successful treatment case of the severe 2019-nCoV infected pneumonia and experience and lessons of hospital rescue for 2019-nCoV infections. This rapid advice guideline is suitable for the first frontline doctors and nurses, managers of hospitals and healthcare sections, community residents, public health persons, relevant researchers, and all person who are interested in the 2019-nCoV.

关键词： 2019 novel coronavirus 2019-nCoV Respiratory disease Pneumonia Infectious diseases Rapid advice guideline Clinical practice guideline Evidence-based medicine

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基于个体化机器学习的原发性免疫性血小板减少症危重出血预测模型:一项全国前瞻性队列研究

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科学通报:英文版 2023年第18期68卷 2106-2114,M0004页

作者： Zhuo-Yu An Ye-Jun Wu Yu Hou heng Mei Wei-Xia Nong Wen-Qian Li Hu Zhou Ru feng Jian-Ping Shen Jun peng Hai Zhou Yi Liu yong-Ping Song Lin-hua Yang Mei-yun Fang Jian-yong Li yun-feng cheng peng Liu Ya-jing xu Zhao Wang Yi Luo zhen Cai Hui Liu jing-Wen Wang Juan Li Xi zhang Zi-Min Sun Xiao-Yu Zhu Xin Wang Rong Fu Liang huang Shao-Yuan Wang Tong-hua Yang Li-Ping Su Liang-Ming Ma Xie-Qun chen Dai-Hong Liu Hong-Xia Yao Jia feng Hong-Yu zhang Ming Jiang Ze-Ping Zhou Wen-Sheng Wang xu-Liang Shen Yangjin Baima Yue-Ying Li Qian-Fei Wang Qiu-Sha huang Hai-Xia Fu Xiao-Lu Zhu yun he Qian Jiang Hao Jiang jin Lu Xiang-Yu Zhao Ying-Jun Chang Tao Wu Yao-Zhu Pan Lin Qiu Da gao A-Rong jin Wei Li Su-Jun gao Lei zhang Ming Hou Xiao-Jun huang Xiao-Hui zhang on behalf of the National Cooperative ITP Working Group Peking University People’s Hospital Peking University Institute of HematologyBeijing 100044China Collaborative Innovation Center of hematology Peking UniversityBeijing 100044China Beijing Key Laboratory of hematopoietic Stem Cell Transplantation Beijing 100044China National Clinical Research Center for hematologic Disease Beijing 100044China Department of hematology Qilu HospitalCheeloo College of MedicineShandong UniversityJinan 250014China institute of hematology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430074China Department of hematology First Affiliated HospitalSchool of MedicineShihezi UniversityShihezi 832002China Department of hematology Qinghai Provincial People’s HospitalXining 810007China henan Cancer Hospital Affiliated Cancer Hospital of Zhengzhou UniversityHenan Institute of HematologyZhengzhou 450008China Department of hematology Beijing HospitalBeijing 100044China Department of hematology Zhejiang Provincial Hospital of Traditional Chinese MedicineHangzhou 310006China Department of hematology Senior Department of Hematologythe Fifth Medical Center of PLA General HospitalBeijing 100044China Department of hematology the Second Hospital of Shanxi Medical UniversityTaiyuan 030001China Department of hematology Affiliated Zhongshan Hospital of Dalian UniversityDalian 116001China Department of hematology The First Affiliated Hospital with Nanjing Medical University(Jiangsu Province Hospital)Nanjing 210029China Department of hematology Zhongshan HospitalFudan UniversityShanghai 200032China Department of hematology Xiangya HospitalCentral South UniversityChangsha 410008China Department of hematology Beijing Friendship HospitalCapital Medical UniversityBeijing 100044China institute of hematology the First Affiliated HospitalZhejiang UniversityHangzhou 310058China Department of hematology Beijing Tongren HospitalBeijing 100005China Department of hematology The First Affiliated HospitalSun Yat-sen UniversityGuang

原发性免疫性血小板减少症(ITP)中少见但至关重要的危重出血事件,给患者的预后、生活质量和治疗决策带来严重影响。尽管有一些研究探讨了ITP中与危重出血相关的风险因素,但目前尚缺乏大样本数据、大规模多中心研究结果以及针对ITP患者... 详细信息

原发性免疫性血小板减少症(ITP)中少见但至关重要的危重出血事件,给患者的预后、生活质量和治疗决策带来严重影响。尽管有一些研究探讨了ITP中与危重出血相关的风险因素,但目前尚缺乏大样本数据、大规模多中心研究结果以及针对ITP患者致命出血事件的预测模型。本研究首次采用国际血栓与止血学会新提出的ITP致命出血标准,利用大样本数据开发了首个基于机器学习的在线应用,用于预测ITP患者的致命出血.研究中,我们使用中国各地大型多中心数据进行开发,并对全国39家医疗中心进行为期一年的外部测试,得到了较好的训练、验证和测试数据集预测能力该基于新算法的便捷网络工具能够快速识别ITP患者的出血风险,辅助临床决策,有望未来降低不良事件的发生。

关键词： Critical bleeding Severe bleeding Immune thrombocytopenia Machine learning Prediction model

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Anti-cyclic citrullinated peptide antibody predicts the development of rheumatoid arthritis in patients with undifferentiated arthritis

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chinese Medical Journal 2019年第24期132卷 2899-2904页

作者： chun Li Yan zhang Hui Song Jie gao Dong-Bao Zhao Qi Zhu Dong-Yi he Li Wang Xiang-Pei Li xu-Dong Liu Wei-Guo Xiao Xin-Yu Wu hua-Xiang Wu Wei Tu Shao-Xian Hu Xin Wang Zhi-Jun Li Zhi-Min Lu Zhan-yun Da Bo Liang Xiao-Min Liu jin-Wei Zhao Ling Li feng Han Wu-Fang Qi Wei Wei xu Ma zhen-Bin Li Gui-Min zheng feng-Xiao zhang Yi Li You-Lian Wang Guang-Hui Ling jin-Wei chen Xiao-Qiang Hou jing zhang Qing-Ping chen Chang-Lian Liu Yan zhang Jia-Shun Zeng Qing-hua Zou yong-Fei Fang Yin Su Zhan-Guo Li Department of Rheumatology and Immunology Peking University People's HospitalBeijing 100044China Department of Rheumatology and Immunology Beijing Jishuitan HospitalBeijing 100035China Department of Rheumatology and Immunology Changhai HospitalShanghai 200433China Department of Rheumatology Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western MedicineShanghai 200052China Department of Rheumatology and Immunology Anhui Provincial HospitalHefeiAnhui 230001China Department of Rheumatology and Immunology The First Hospital of China Medical UniversityShenyangLiaoning 110001China Department of Rheumatology The Second Affiliated Hospital of Zhejiang University School of MedicineHangzhouZhejiang 310009China Department of Rheumatology and Immunology Tongji HospitalWuhanHubei 430030China Department of Rheumatology The First Affiliated Hospital of Bengbu Medical CollegeBengbuAnhui 233004China Department of Rheumatology and Immunology Affiliated Hospital of Nantong UniversityNantongJiangsu 226001China Department of Rheumatology and Immunology The Hospital of Shunyi District BeijingBeijing 101300China Department of Infection and Immunology Tianjin Union Medical CenterTianjin 300121China Department of Rheumatology and Immunology Tianjin First Central HospitalTianjin 300192China Department of Rheumatology and Immunology Tianjin Medical University General HospitalTianjin 300052China Department of Rheumatology and Immunology Peace HospitalShijiazhuangHebei 050000China Department of Rheumatology and Immunology Hebei General HospitalShijiazhuangHebei 050051China Department of Rheumatology Jiangxi Provincial People's HospitalNanchangJiangxi 330006China Division of Rheumatology and Immunology The Second Xiangya Hospital of Central South UniversityChangshaHunan 410011China Department of Rheumatology and Immunology The First College of Clinical Medical Science of China Three Gorges University&Yichang Central People's HospitalYichangHubei 443003China Department of Rheu

Background:Clinical outcomes of undifferentiated arthritis(UA)are diverse,and only 40%of patients with UA develop rheumatoid arthritis(RA)after 3 *** predictive markers at disease onset for further intervention is ***,our objective was to analyze the clinical outcomes of UA and ascertain the predictors for RA ***:We performed a prospective,multi-center study from January 2013 to October 2016 among chinese patients diagnosed with UA in 22 tertiary-care *** and serological parameters were obtained at ***-up was undertaken in all patients every 12 weeks for 2 *** factors of disease progression were identified using multivariate Cox proportional hazards ***:A total of 234 patients were recruited in this study,and 17(7.3%)patients failed to follow up during the *** the 217 patients who completed the study,83(38.2%)patients went into *** patients who developed RA had a higher rheumatoid factor(RF)-positivity(42.9%vs.16.8%,χ^2=8.228,P=0.008),anti-cyclic citrullinated peptide(CCP)antibodypositivity(66.7%vs.10.7%,χ^2=43.897,P<0.001),and double-positivity rate of RF and anti-CCP antibody(38.1%vs.4.1%,χ^2=32.131,P<0.001)than those who did ***-CCP antibody but not RF was an independent predictor for RA development(hazard ratio 18.017,95%confidence interval:5.803–55.938;P<0.001).Conclusion:As an independent predictor of RA,anti-CCP antibody should be tested at disease onset in all patients with UA.

关键词： Anti-cyclic citrullinated peptide antibody Arthritis,Rheumatoid Rheumatoid factor Undifferentiated arthritis

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Timing analysis of the black hole candidate EXO 1846–031 with Insight-HXMT monitoring

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Research in Astronomy and Astrophysics 2021年第3期21卷 193-204页

作者： he-Xin Liu Yue huang Guang-cheng Xiao Qing-Cui Bu jin-Lu Qu Shu zhang Shuang-Nan zhang Shu-Mei Jia Fang-Jun Lu Xiang Ma Lian Tao Wei zhang Li chen Li-Ming Song Ti-Pei Li Yu-peng xu xue-Lei Cao yong chen Cong-Zhan Liu Ce Cai Zhi Chang Gang chen Tian-Xiang chen Yi-Bao chen Yu-peng chen Wei Cui Wei-Wei Cui jing-kang Deng yong-Wei Dong Yuan-Yuan Du Min-xue Fu Guan-hua gao he gao Min gao Ming-Yu Ge Yu-Dong Gu Ju Guan cheng-cheng Guo Da-Wei Han Jia Huo Lu-hua Jiang Wei-chun Jiang jing jin yong-Jie jin Ling-Da Kong Bing Li cheng-Kui Li Gang Li Mao-Shun Li Wei Li Xian Li Xiao-Bo Li xu-Fang Li Yang-Guo Li zheng-Wei Li Xiao-hua Liang jing-Yuan Liao Bai-Sheng Liu Guo-Qing Liu Hong-Wei Liu Xiao-jing Liu Yi-Nong Liu Bo Lu xue-feng Lu Qi Luo Tao Luo Bin Meng Yi Nang Jian-Yin Nie Ge Ou Na Sai Ren-cheng Shang Xin-Ying Song Liang Sun Ying Tan You-Li Tuo chen Wang Guo-feng Wang Juan Wang Ling-Jun Wang Weng-Shuai Wang Yu-Sa Wang Xiang-Yang Wen Bai-Yang Wu Bo-Bing Wu Mei Wu Shuo Xiao Shao-Lin Xiong he xu Jia-Wei Yang Sheng Yang Yan-Ji Yang Yi-Jung Yang Qi-Bin Yi Qian-Qing Yin Yuan You Ai-Mei zhang cheng-Mo zhang Fan zhang Hong-Mei zhang Juan zhang Tong zhang Wan-Chang zhang Wen-Zhao zhang Yi zhang Yi-Fei zhang yong-Jie zhang Yuan-Hang zhang Yue zhang Zhao zhang Zhi zhang Zi-Liang zhang Hai-Sheng Zhao Xiao-Fan Zhao Shi-Jie zheng Yao-Guang zheng Deng-Ke Zhou Jian-feng Zhou Yu-xuan Zhu Ren-Lin Zhuang Yue Zhu Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of chinese academy of sciences Chinese Academy of SciencesBeijing 100049China Institut fur Astronomie und Astrophysik Kepler Center for Astro and Particle PhysicsEberhard Karls Universität72076 TubingenGermany Department of Astronomy Beijing Normal UniversityBeijing 100088China Department of Astronomy Tsinghua UniversityBeijing 100084China Department of Physics Tsinghua UniversityBeijing 100084China Department of Engineering Physics Tsinghua UniversityBeijing 100084China Key Laboratory of Space Astronomy and Technology National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China College of Physics sciences&Technology Hebei UniversityBaoding 071002Hebei ProvinceChina

We present the observational results from a detailed timing analysis of the black hole candidate EXO 1846-031 during its outburst in 2019 with the observations of Insight-HXMT,NICER and *** outburst can be classified roughly into four different ***-C quasi-periodic oscillations(QPOs)observed by NICER(about 0.1-6 Hz)and Insight-HXMT(about 0.7-8 Hz)are also reported in this ***,we study various physical quantities related to QPO *** QPO rms-frequency relationship in the energy band 1-10 keV indicates that there is a turning pointing in frequency around2 Hz,which is similar to that of GRS 1915+105.A possible hypothesis for the relationship above may be related to the inclination of the source,which may require a high inclination to explain *** relationships between QPO frequency and QPO rms,hardness,total fractional rms and count rate have also been found in other transient sources,which can indicate that the origin of type-C QPOs is non-thermal.

关键词： X-ray binaries black hole candidate QPO EXO 1846–031

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Chemoprophylaxis, diagnosis, treatments, and discharge management of COVID-19: An evidence-based clinical practice guideline(updated version)

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Military Medical Research 2020年第3期7卷 249-282页

作者： Ying-Hui jin Qing-Yuan Zhan Zhi-yong peng xue-Qun Ren xun-Tao Yin Lin Cai Yu-feng Yuan Ji-Rong Yue Xiao-chun zhang Qi-Wen Yang Jianguang Ji Jian Xia Yi-Rong Li Fu-Xiang Zhou Ya-Dong gao Zhui Yu feng xu Ming-Li Tu Li-Ming Tan Min Yang Fang chen Xiao-Ju zhang Mei Zeng Yu Zhu Xin-Can Liu Jian Yang Dong-Chi Zhao Yu-feng Ding Ning Hou Fu-Bing Wang Hao chen yong-Gang zhang Wei Li Wen chen Yue-Xian Shi Xiu-Zhi Yang xue-Jun Wang Yan-Jun Zhong Ming-Juan Zhao Bing-Hui Li Lin-Lu Ma Hao Zi Na Wang yun-yun Wang Shao-Fu Yu Lu-Yao Li Qiao huang Hong Weng Xiang-Ying Ren Li-Sha Luo Man-Ru Fan Di huang Hong-Yang xue Lin-Xin Yu jin-Ping gao Tong Deng Xian-Tao Zeng Hong-Jun Li zhen-Shun cheng Xiao-Mei Yao Xing-huan Wang Center for Evidence-Based and Translational Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China National Clinical Research Center for Respiratory Diseases China-Japan Friendship HospitalBeijing 100029China Department of Pulmonary and Critical Care Medicine China-Japan Friendship HospitalBeijing 10029China Leishenshan Hospital in Wuhan Wuhan 430200China Department of Critical Care Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China institutes of Evidence-based Medicine and Knowledge Translation Henan UniversityKaifeng 475000HenanChina Department of Medical Imaging Guizhou Provincial People’s HospitalGuiyang 550002China Departments of Orthopedics Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of hepatobiliary Surgery Zhongnan Hospital of Wuhan UniversityWuhan 430071China National Clinical Research Center for Geriatrics West China Hospital of Sichuan UniversityChengdu 610041China Department of Geriatrics West China Hospital of Sichuan UniversityChengdu 610041China Department of Radiology Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Clinical Laboratory Peking Union Medical College Hospital(PUMCH)Peking Union Medical CollegeChinese Academy of Medical Sciences(CAMS)Beijing 100730China Center for Primary health Care Research Lund University and Region Skåne25002 MalmöSweden Emergency Center Zhongnan Hospital of Wuhan UniversityWuhan 403371China Department of Allergology Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Radiation and Medical Oncology Zhongnan Hospital of Wuhan UniversityWuhan 43071China Department of Critical Care Medicine Renmin Hospital of Wuhan UniversityWuhan 430060China Department of Emergency Medicine and Chest Pain Center Qilu Hospital of Shandong UniversityJinan 250002China Department of Respiratory and Critical Care Medicine Suizhou Central HospitalHubei University of MedicineSuizhou 441300HubeiChina Department of Clinic Pharmacy Second People’s Hospital of Huaihua Ci

The novel severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is the cause of a rapidly spreading illness,coronavirus disease 2019(COVID-19),affecting more than seventeen million people around the *** and treatment guidelines for clinicians caring for patients are *** the early stage,we have issued"A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus(2019-nCoV)infected pneumonia(standard version)";now there are many direct evidences emerged and may change some of previous recommendations and it is ripe for develop an evidence-based *** formed a working group of clinical experts and *** steering group members proposed 29 questions that are relevant to the management of COVID-19 covering the following areas:chemoprophylaxis,diagnosis,treatments,and discharge *** searched the literature for direct evidence on the management of COVID-19,and assessed its certainty generated recommendations using the Grading of Recommendations,Assessment,Development and Evaluation(GRADE)*** were either strong or weak,or in the form of ungraded consensus-based ***,we issued 34 *** them,6 were strong recommendations for,14 were weak recommendations for,3 were weak recommendations against and 11 were ungraded consensus-based *** covered topics of chemoprophylaxis(including agents and Traditional chinese Medicine(TCM)agents),diagnosis(including clinical manifestations,reverse transcription-polymerase chain reaction(RT-PCR),respiratory tract specimens,IgM and IgG antibody tests,chest computed tomography,chest X-ray,and CT features of asymptomatic infections),treatments(including lopinavirritonavir,umifenovir,favipiravir,interferon,remdesivir,combination of antiviral drugs,hydroxychloroquine/chloroquine,interleukin-6 inhibitors,interleukin-1 inhibitors,glucocorticoid,qingfei paidu decoction,lianhua qingwen granules/capsules,convalescent plasma,lung

关键词： COVID-19 SARS-CoV-2 Recommendation Chemoprophylaxis Diagnosis Treatment Discharge management Traditional chinese medicine guideline

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Consensus statement on layout and delivery of automatic external defibrillator in china

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Journal of Hainan Medical University 2020年第15期26卷 18-23页

作者： Yu Cao Song chen Yan-Fen Chai Xiao-Hui chen Yu-Guo chen Shao-Wen cheng Wen-Wei cheng Bang-Han Ding Yang Deng Jie Fu Bang-Jiang Fang Mai-Ying Fan Li Gui Ping Gong Wei Guo Shu-Bin Guo Liang huang Ji-Yuan Han Zhong Ji Xian-Fei Ji Xin-Cai Ji Hong-xu jin Xin-Jun Jiang Wang-Xiang Jiang Jia-Liang Liu Xiao-Ran Liu Zhi Liu Chuan-Zhu Lv feng Lu Tan-Shi Li Xin Li yong Li Shang-Lun Li Shuang-Ming Li Xiao-Gang Li Bao-Jun Li Pei-Wu Li chun-Sheng Li Zhi-Jun Li Chang-Luo Li Xiang-Min Li Yin-Ping Li Zong-Jun Lu Zu-xun Lu Zhong-Qiu Lu Zhi-Qian Luo Xiao-Xing Liao Jian-Bo Lei Tao Ma Yu Ma Yue-feng Ma Qing-Bian Ma Lin-Hao Ma Jun-Qi Ma Shi-Nan Nie Jie-Miao Ou-Yang peng peng Qiao Pei Shu-Ming Pan Guo-Zhong Qing Li-Jie Qin Wu-Ying Qiao Fei Shao Wei Song Xing-Yue Song zhen-Ju Song Rong-Ju Sun De-Ya Shang Du-Juan Sha Gui-Lan Tao Guo-Gang Tian Ying-Ping Tian Jian-Guang Tian Chao-Yang Tong Zi-Ren Tang Meng-Xiong Tang Guo-Ping Wu Zhi Wan Tao Wang Xin Wang peng Wang Zhong Wang Tong Wang Ri-Xing Wang Yi-Xin Wang Xiao-Dan Wang Ling Wu Wei Wei hua Xiang feng xu Jun xu Jie xu Miao-Rong Xie Shuo-Gui xu Tie xu feng Yu Wen Yi Li-Shan Yang Shi-Jiao Yan jin-Jian Yao Shou-chun Yan xue-Zhong Yu Xian-Zhi Ye Xian-Liang Yan Fu-Bing Zhou Rong-Bin Zhou Ming Zhou Qiang Zhou jin Zhou Ping Zhou Chang-Ju Zhu hua-Dong Zhu Ji-Hong Zhu Hong zhang Mao zhang hua zhang Na zhang Guo-Qiang zhang Guo-Xiu zhang jin-Song zhang Wen-Wu zhang Wen-Zhong zhang Jian-feng zhang Yi-Min Zhu Jun Zeng Yuan zheng Zhi-Jie zheng Shen Zhao Yan Zhao Min Zhao Bin Zhao Xiao-Dong Zhao Xiao-jing Zhao Hong-Ke Zeng Sheng-Qiang Zou The chinese Society of Emergency Medicine Research Unit of Island Emergency Medicine Chinese Academy of Medical SciencesHainan Medical University Key Laboratory of Emergency and Trauma of Ministry of Education Hainan Medical UniversityHaikouHainanChina Emergency and Trauma College Hainan Medical UniversityHaikouHainanChina Department of Emergency Hainan Clinical Research Center for Acute and Critical DiseasesThe Second Affiliated Hospital of Hainan Medical UniversityHaikouHainanChina Key Laboratory of Hainan Trauma and Disaster Rescue Key Laboratory of Trauma of Hainan Medical University

*** Sudden cardiac death(SCD)refers to sudden death due to a variety of cardiac *** is manifested as a sudden loss of consciousness,cardiac arrest,and respiratory arrest and generally shows early symptoms that are atypical and not easily detected[1].According to a recent study,nearly 544000 patients suffer from SCD every year in china[2].

关键词： cardiac death respiratory

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Atlas of dynamic spectra of fast radio burst FRB 20201124A

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chinese Physics B 2023年第2期32卷 1-4页

作者：王铂钧胥恒姜金辰徐江伟牛佳瑞陈平李柯伽张冰朱炜玮东苏勃张春风傅海周德江张永坤王培冯毅李晔李冬子鲁文宾杨元培 RNCaballero 蔡策陈卯蒸戴子高艾力·伊沙木丁甘恒谦韩金林郝龙飞黄玉祥姜鹏李承奎李菂李辉李新乔李志玄刘志勇罗睿门云鹏牛晨辉彭文溪钱磊宋黎明孙京海王发印汪敏王娜王维扬吴雪峰肖硕熊少林徐永华徐仁新杨俊杨轩姚蕊易祁彬岳友岭于东俊余文飞袁建平张彬彬张松波张双南赵一郑伟康朱岩邹金航 Kavli institute for Astronomy and Astrophysics Peking UniversityBeijing 100871China National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China Department of Astronomy Peking UniversityBeijing 100871China University of chinese academy of sciences Chinese Academy of SciencesBeijing 100049China Department of Particle Physics and Astrophysics Weizmann Institute of ScienceRehovot 76100Israel Nevada Center for Astrophysics University of NevadaLas VegasNV 89154USA Department of Physics and Astronomy University of NevadaLas VegasNV 89154USA Department of Physics&Astronomy University of IowaIowa CityIA 52242USA Zhejiang Laboratory HangzhouZhejiang 311121China Purple Mountain Observatory Chinese Academy of SciencesNanjing 210008China TAPIR Walter Burke Institute for Theoretical PhysicsMail Code 350-17CaltechPasadenaCA 91125USA Department of Astronomy University of California at BerkeleyBerkeleyCA 94720USA South-Western institute For Astronomy Research Yunnan UniversityYunnan 650504China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China Xinjiang Astronomical Observatory Chinese Academy of SciencesUrumqi 830011China University of Science and Technology of china Anhui 230026China yunnan Observatories Chinese Academy of SciencesKunming 650216China Guizhou Normal University Guiyang 550001China CSIRO Space and Astronomy EppingNSW 1710Australia Max-Planck institut fur Radioastronomie Auf Dem HugelBonn53121Germany School of Astronomy and Space Science Nanjing UniversityNanjing 210093China State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China Key Laboratory of Modern Astronomy and Astrophysics(Nanjing University) Ministry of EducationNanjing 210093China College of Physics Hebei Normal UniversityShijiazhuang 050024China

Fast radio bursts(FRBs) are highly dispersed millisecond-duration radio bursts,[1,2]of which the physical origin is still not fully understood. FRB 20201124A is one of the most actively repeating FRBs. In this paper, we present the collection of 1863 burst dynamic spectra of FRB 20201124A measured with the Five-hundred-meter Aperture Spherical radio Telescope(FAST). The current collection, taken from the observation during the FRB active phase from April to June 2021, is the largest burst sample detected for any FRB so far. The standard PSRFITs format is adopted, including dynamic spectra of the burst, and the time information of the dynamic spectra, in addition, mask files help readers to identify the pulse positions are also provided. The dataset is available in Science Data Bank, with the link https://***/10.57760/sciencedb.j00113.00076.

关键词： fast radio burst FAST

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住院极早产儿宫外生长迟缓及相关因素的多中心前瞻性研究

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中国当代儿科杂志 2022年第2期24卷 132-140页

作者：沈蔚郑直林新祝吴繁田倩欣崔其亮袁媛任玲毛健石碧珍王玉梅刘玲张京慧常艳美童笑梅朱燕张蓉叶秀桢邹静静李怀玉赵宝银邱银萍刘淑华马莉徐颖程锐周文莉武辉刘志勇陈冬梅高金枝刘晶陈玲李丛杨春燕许平张亚昱呼斯乐梅花杨祖铭冯宗太王三南孟二艳尚利宏徐发林欧少苹巨容中国医师协会新生儿科医师分会营养专业委员会全国多中心EUGR协作组厦门大学附属妇女儿童医院/厦门市妇幼保健院福建厦门361003 广州医科大学附属第三医院儿科广东广州510150 中国医科大学附属盛京医院辽宁沈阳110000 贵阳市妇幼保健院·贵阳市儿童医院贵州贵阳550002 北京大学第三医院北京100191 复旦大学附属儿科医院上海201102 广东省妇幼保健院广东广州510030 宁夏医科大学总医院宁夏银川750001 河北省儿童医院河北石家庄050031 南京医科大学附属儿童医院江苏南京210000 吉林大学第一医院吉林长春130000 泉州市妇幼保健院·儿童医院福建泉州362000 华中科技大学同济医学院附属同济医院湖北武汉430000 山东省聊城市人民医院山东聊城252000 内蒙古医科大学附属医院内蒙古呼和浩特010010 苏州市立医院江苏苏州215002 郑州大学第三附属医院(河南省妇幼保健院) 河南郑州450052 电子科技大学医学院附属妇女儿童医院·成都市妇女儿童中心医院四川成都611731 不详

目的了解我国住院极早产儿(very preterm infant,VPI)宫外生长迟缓(extrauterine growth restriction,EUGR)的发生率及影响因素。方法采用多中心前瞻性调查研究方法,纳入2019年9月至2020年12月我国7个地区28家医院新生儿科的2514例VPI... 详细信息

目的了解我国住院极早产儿(very preterm infant,VPI)宫外生长迟缓(extrauterine growth restriction,EUGR)的发生率及影响因素。方法采用多中心前瞻性调查研究方法,纳入2019年9月至2020年12月我国7个地区28家医院新生儿科的2514例VPI临床资料,根据纠正胎龄36周或出院时的体重评估是否发生EUGR,分成EUGR组(n=1189)和非EUGR组(n=1325)。比较两组VPI的临床特征,探讨EUGR的发生情况及相关因素。结果以体重评价,EUGR的发生率为47.30%(1189/2514)。多因素logistic结果显示,恢复出生体重后平均体重增长速率快和住院第1周累计热卡高是EUGR的保护因素(P<0.05),小于胎龄儿、达全肠内营养所需时间长、累计禁食时间长、开始添加母乳强化剂时的母乳量少及达到全强化的所需时间长、中-重度支气管肺发育不良是EUGR发生的危险因素(P<0.05)。结论尽早达全肠内营养,及时强化母乳喂养,增加生后第1周的热卡摄入,提高体重增长速率,以及防治中-重度支气管肺发育不良对降低VPI EUGR的发生率至关重要。

关键词：宫外生长迟缓营养危险因素极早产儿

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多中心超声筛查中国卒中高危人群颈动脉粥样硬化性病变结果的初步分析

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中国脑血管病杂志 2014年第12期11卷 617-623页

作者：华扬陶昀璐李梅勇强何文赵晖罗燕张艳彭涛于德林潘旭东吴春霞牛小媛胡凤云何香芹袁建军褚文唐凤珍艾红崔进川首都医科大学宣武医院血管超声诊断科中国卒中数据中心首都医科大学附属安贞医院综合超声科首都医科大学附属天坛医院超声科北京中医药大学东方医院超声科四川大学华西医院超声科郑州大学第一附属医院超声科山东聊城市第二人民医院颅脑血管超声科天津环湖医院超声科青岛大学附属医院神经内科山东聊城市人民医院附属脑科医院超声科山西医科大学第一医院神经内科山西省人民医院神经内科山东济宁市第一人民医院超声科河南省人民医院超声科河南洛阳市中心医院超声科陕西省汉中市第三二〇一医院功能科西安交通大学医学院第一附属医院超声科四川省绵阳市中心医院心血管超声科

目的：采用彩色多普勒血流显像（CDFI）对我国卒中高危人群进行筛查，建立中国人群卒中发病危险的预测模型，以早期防治卒中。方法采用横断面研究，于2011年7月—2012年4月，41家基地医院首次联合对我国6个省市40个项目区715286人进行... 详细信息

目的：采用彩色多普勒血流显像（CDFI）对我国卒中高危人群进行筛查，建立中国人群卒中发病危险的预测模型，以早期防治卒中。方法采用横断面研究，于2011年7月—2012年4月，41家基地医院首次联合对我国6个省市40个项目区715286人进行常规体格检查及心脑血管疾病相关危险因素调查。对其中61860例患者进行颈动脉CDFI筛查，高危人群（暴露于≥3项危险因素）有49386例。筛查记录双侧颈动脉内－中膜厚度（IMT）情况、斑块数量及颈动脉狭窄程度。并对颈动脉IMT是否增厚、有无颈动脉斑块和颈动脉狭窄程度（分为狭窄率0～49％与≥50％）分别与卒中危险因素进行多因素Logistic回归分析。结果（1）Logistic回归分析显示，高血压、心房颤动、吸烟、缺乏体育锻炼是颈动脉 IMT增厚的独立危险因素（高血压，OR ＝1.17，95％CI：1.12～1.22；心房颤动，OR＝1.15，95％CI：1.09～1.21；吸烟，OR＝1.13，95％CI：1.08～1.17；缺乏体育锻炼，OR＝1.12，95％CI：1.08～1.16）。（2）高血压、心房颤动、吸烟、糖尿病是颈动脉斑块及颈动脉狭窄率≥50％发生的独立危险因素（颈动脉斑块，高血压：OR ＝1.55，95％CI：1.47～1.62；心房颤动：OR ＝1.13，95％CI：1.06～1.21；吸烟：OR＝1.16，95％CI：1.11～1.22；糖尿病：OR＝1.30，95％CI：1.24～1.37。颈动脉狭窄率≥50％，高血压：OR＝1.78，95％CI：1.55～2.03；心房颤动：OR＝1.59，95％CI：1.39～1.81；吸烟：OR＝1.33，95％CI：1.20～1.48；糖尿病：OR＝1.30，95％CI：1.17～1.45）。单纯肥胖不增加颈动脉粥样硬化性斑块及颈动脉狭窄率≥50％的发生率（OR分别为0．78、0.83，95％CI分别为0．75～0．82、0.75～0.92）。结论颈部血管超声检查可作为卒中高危人群筛查及危险因素检测有价值的手段，对早期诊断及治疗颈动脉粥样硬化性疾病具有重要的指导意义。

关键词：卒中颈动脉狭窄颈动脉超声筛查颈动脉内-中膜增厚多中心研究

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