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Different Pretreatments before Application of GnRH Antagonist Protocol in Controlled Ovarian Hyperstimulation

Journal of Reproduction and Contraception 2011年第4期22卷 201-210页

作者： ping-xiu huang rong li min fu juan-juan wang Reproductive Medical Centre Shenzhen Hospital of Peking University Shenzhen 518036 China

Objective To analyze the clinical features and outcome of patients who used different pretreatments before application of gonadotropin-releasing hormone antagonist protocol during in vitro fertilization - embryo transfer （IVF-ET） cycles, and to explore how effective to use the antagonist protocol. Methods A retrospective analysis was performed. All the ET cycles were divided into three groups, group A （n=125） used short acting GnRH agonist before GnRH antagonist treatment, group B （n=113） used short-acting oral contraceptives before GnRH antagonist treatment, group C （n=81） was untreated before GnRH antagonist treatment. All the patients had no tubal fluid, endometrial polyps and no anatomical abnormalities of the uterus, from April 2010 to December 2010. The patient＇s age, dose and duration of gonadotropin （Gn） treatment, the serum LH and E2 levels on the day of hCG injection, the number of oocytes retrieved, the rates of good-quality embryos, the clinical pregnancy rates were compared. At the same time, 261 GnRH agonist long protocol cycles （group D） were selected at the same period as further comparison. Results The patients in group C （32.9 ~ 4.8 years） were significantly older than those in groups A and B （31.6 ___＋3.7 years, 31.2 ___%4.1 years）（P 〈0.05）. The dose and the duration of Gn in group C were significantly lower than those in groups A and B. The serum LH level on the day of hCG injection in group A and group B was significantly lower than that in group C （P 〈0.05）, especially in group A. The endometrium was the thinnest in group B. There were no significant differences in the fertilization rates and the good-quality embryosrates among them. The clinical pregnancy rate of group B decreased significantly compared with groups A and C （P〈0. 05）. The clinical pregnancy rate of group C was the highest among them. There was no significant difference of clinical pregnancy rates between group C and group D （37% vs 40.2%,P〉0.05）. However, the dose （19.8 ±6.6 am

关键词： in vitro fertilization-embryo transfer (IVF-ET) gonadotropin-releasing hormone antagonist short-acting oral contraceptives short-acting agonist

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CEPC Technical Design Report

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Radiation Detection Technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang Yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen fuqing Chen fusan Chen Gang Chen Guoming Chen Hua-Xing Chen Huirun Chen Jinhui Chen Ji-Yuan Chen Kai Chen Mali Chen mingjun Chen mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen Ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng Yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'Anzi ling-Yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH University of Science and Technology Faculty of Physics and Applied Computer ScienceKrakow Anhui University HefeiAnhui Applied Physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu University Institute of ScienceVaranasi Bandirma Onyedi Eylul University Bandirma Beihang University Beijing Beijing Computational Science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of Technology Beijing Beijing Normal University Beijing Brown University ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad University Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo University Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central China Normal University WuhanHubei Central South University ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan China academy of engineering physics MianyangSichuan China building materials academy Beijing China Center of Advanced Science and Technology Beijing China Institute of Atomic Energy Beijing China Jiliang University HangzhouZhejiang China Nuclear Instrument CO. LTDBeijing China University of Geosciences Beijing China University of Geosciences WuhanHubei China University of mining and Technology XuzhouJiangsu China West Normal University NanchongSichuan Chongqing University Department of PhysicsChongqing Chulalongkorn University Bangkok City University of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell University IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian minzu University DalianLiaoning Dalian University of Technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP JINR) Dubna East China University Of Science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

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不同预处理促性腺激素拮抗剂方案在超促排卵中应用的临床分析

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生殖与避孕 2012年第2期32卷 105-110页

作者：黄品秀李蓉付敏王娟娟北京大学深圳医院生殖医学中心深圳518036

目的:探讨如何在体外受精-胚胎移植(IVF-ET)周期中更有效地运用拮抗剂方案。方法:回顾性分析319个使用拮抗剂方案进行IVF-ET无输卵管积液、无内膜息肉及无子宫解剖结构异常的新鲜移植周期。根据拮抗剂治疗前使用短效激动剂(n=125,A组)... 详细信息

目的:探讨如何在体外受精-胚胎移植(IVF-ET)周期中更有效地运用拮抗剂方案。方法:回顾性分析319个使用拮抗剂方案进行IVF-ET无输卵管积液、无内膜息肉及无子宫解剖结构异常的新鲜移植周期。根据拮抗剂治疗前使用短效激动剂(n=125,A组)、口服避孕药(达英-35)(n=113,B组)和未处理组(n=81,C组)分组,比较各组患者的年龄、促性腺激素(Gn)使用天数和剂量、注射hCG日LH和E2水平、获卵数、优质胚胎率、临床妊娠率等。同时以261个促性腺激素激动剂长方案移植周期为对照组(D组)作进一步对比。结果:C组年龄(32.9±4.8岁)较其它组年龄明显偏大,P0.05)。A组、B组和C组临床妊娠率分别为:32.8%、17.7%和37.0%,B组临床妊娠率显著低于A、C组(P0.05);C组Gn使用的时间和剂量均比D组明显减少(P<0.05)。结论:在IVF-ET中GnRH拮抗剂治疗前使用达必佳预处理未能提高妊娠率,使用过达因-35避孕的患者妊娠率明显下降,而未使用任何药物的患者接受GnRH拮抗剂超促排卵方案,能获得比较好的临床结局。

关键词：体外受精-胚胎移植(IVF-ET) 促性腺激素释放激素拮抗剂(GnRH-A) 短效口服避孕药促性腺激素释放激素激动剂(GnRH-a)

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Was chicken domesticated in northern China?New evidence from mitochondrial genomes

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Science Bulletin 2018年第12期63卷 743-746页

作者： Xun-He huang Ya-Jiang Wu Yong-wang Miao min-Sheng Peng Xing Chen Dan-lin He Chatmongkon Suwannapoom Bing-wang Du Xian-Yao li Zhuo-Xian Weng Si-Hua Jin Jiao-Jiao Song ming-Shan wang Jie-Bo Chen Wei-Na li Newton Otieno Otecko Zhao-Yu Geng Xiang-Yong Qu Yan-ping Wu xiu-rong Yang Jie-Qiong Jin Jian-lin Han fu-Sheng Zhong Xi-Quan Zhang Ya-ping Zhang School of life Sciences.flaying University.Meizhou 514015.China State Key Laboratory for Conservation and Utilization of Bio-resources in Yunnan Yunnan UniversityKunming 650091China Faculty of Animal Science and Technology.Yunnan Agricultural University.Kunming 650201.China State Key Laboratory of Genetic Resources and Evolution and Yunnan Laboratory of Molecular Biology of Domestic Animals.kunming Institute of Zoology.Chinese Academy of Sciences.Kunming 650223.China College of Animal Sciences.South China Agricultural University.Guangzhou 510642.China School of Agriculture and Natural Resources.University of Phayao.Phayao 56000.Thailand College of Agriculture.Guangdong Ocean University.Zhanjiang 524088.China College of Animal Science and Technology.Shandong Agricultural University.Taian 271018.China College of Animal Science and Technology.Hunan Agricultural University.Changsha 410128.China College of Animal Science and Technology.Anhui Agricultural University.Hefei 230036.China Institute of Animal Science.Jiangxi Academy of Agricultural Sciences.Nanchang 330200.China College of Animal Science and Technology.Guangxi University.Nanning 530004.China Kunming College of life Science.University of Chinese Academy of Sciences.Kunming 650204.China Southeast Asia Biodiversity Research Institute.Chinese Academy of Sciences(CAS-SEABRI).Yezin 05282.Myanmar CAAS-ILRI Joint Laboratory on livestock and Forage Genetic Resources.Institute of Animal Science.Chinese Academy of Agricultural Sciences(CAAS).Beijing 100193.China International livestock Research Institute(ILRI).Nairobi 00100.Kenya

The timing and location of chicken(Gallus gallus domesticus)domestication have remained controversial for over a century[1].Several researchers have proposed China as one of the early centers for chicken domestication[2].This is based on a few archaeological‘‘chicken"remains discovered in China(Table S1).Recently,one investigation detected mitochondrial DNA(mt DNA)haplotypes

关键词：鸡肉中国染色体驯养证据研究人员职业人员 DNA

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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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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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利用磁共振波谱定量评价肥胖儿童青少年肝内脂肪含量

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中国医学计算机成像杂志 2019年第2期25卷 170-175页

作者：王心高修成李晓南刘倩琦杨明雷娟卞宠平黄荣南京医科大学附属儿童医院放射科南京医科大学附属儿童医院儿童保健科南京医科大学附属儿童医院内分泌科

目的:利用磁共振波谱技术量化评估肥胖儿童青少年肝内脂肪(IHL)含量,探讨其临床意义。方法:对75例新诊断肥胖儿童青少年进行人体学特征检测、肝功能、血脂、OGTT及胰岛素释放试验等检查,并采用氢质子磁共振波谱技术定量测定肝内脂肪(IHL... 详细信息

目的:利用磁共振波谱技术量化评估肥胖儿童青少年肝内脂肪(IHL)含量,探讨其临床意义。方法:对75例新诊断肥胖儿童青少年进行人体学特征检测、肝功能、血脂、OGTT及胰岛素释放试验等检查,并采用氢质子磁共振波谱技术定量测定肝内脂肪(IHL)含量,并将肥胖患儿分为单纯性肥胖组(n=45)及肥胖伴有代谢综合征组(n=30),20例健康儿童青少年作为对照组,观察IHL含量在组间的变化情况,分析IHL含量与各临床治疗的相关性以及探寻IHL含量改变的影响因素。结果:正常对照组、单纯性肥胖组、肥胖伴有代谢综合征组IHL含量分别为0.69%(0.37%～0.98%)、3.45%(1.23%～4.86%)、21.2%(15.32%～42.08%),组间两两相比较差异均有统计学意义(P<0.05)。单因素相关分析表明IHL含量与腰围、腰臀比、体重指数、收缩压、丙氨酸转氨酶、血清甘油三酯、口服糖耐量试验(OGTT)2h血糖、胰岛素峰值、胰岛素抵抗指数呈显著正相关,与高密度脂蛋白呈显著负相关。多元线性回归分析发现增加的腰围、增高的OGTT2h血糖、降低的高密度脂蛋白水平是IHL含量升高的独立危险因素。结论:单纯性肥胖儿童早期就可出现IHL增高,而伴发代谢综合征时IHL呈显著升高。量化的IHL与诸多临床、血液指标相关,其中腰围、OGTT2h血糖、高密度脂蛋白是IHL含量的独立影响因素。IHL含量可作为肥胖儿童青少年临床评估较为敏感的指标。

关键词：磁共振氢质子波谱肝内脂肪含量肥胖儿童青少年代谢综合征

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The first data release(DR1) of the LAMOST regular survey

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Research in Astronomy and Astrophysics 2015年第8期15卷 1095-1124页

作者： A-li Luo Yong-Heng Zhao Gang Zhao li-Cai Deng Xiao-Wei liu Yi-Peng Jing Gang wang Hao-Tong Zhang Jian-rong Shi Xiang-Qun Cui Yao-Quan Chu Guo-ping li Zhong-Rui Bai Yue Wu Yan Cai Shu-Yun Cao Zi-huang Cao Jeffrey L.Carlin Hai-Yuan Chen Jian-Jun Chen Kun-Xin Chen li Chen Xue-Lei Chen Xiao-Yan Chen Ying Chen Norbert Christlieb Jia-Ru Chu Chen-Zhou Cui Yi-Qiao Dong Bing Du Dong-Wei Fan Lei Feng Jian-Ning fu Peng Gao Xue-Fei Gong Bo-Zhong Gu Yan-Xin Guo Zhan-Wen Han Bo-liang He Jin-liang Hou Yong-Hui Hou Wen Hou Hong-Zhuan Hu Ning-Sheng Hu Zhong-Wen Hu Zhi-Ying Huo Lei Jia Fang-Hua Jiang Xiang Jiang Zhi-Bo Jiang Ge Jin Xiao Kong Xu Kong Ya-juan Lei Ai-Hua li Chang-Hua li Guang-Wei li Hai-Ning li Jian li Qi li Shuang li Sha-Sha li Xin-Nan li Yan li Yin-Bi li Ye-ping li Yuan liang Chien-Cheng lin Chao liu Gen-rong liu Guan-Qun liu Zhi-Gang liu Wen-Zhi Lu Yu Luo Yin-Dun Mao Heidi Newberg Ji-Jun Ni Zhao-Xiang Qi Yong-Jun Qi Shi-Yin Shen Huo-ming Shi Jing Song Yi-Han Song Ding-Qiang Su Hong-Jun Su Zheng-Hong Tang Qing-Sheng Tao Yuan Tian Dan wang Da-Qi wang Feng-Fei wang Guo-min wang Hai wang Hong-Chi wang Jian wang Jia-Ning wang Jian-ling wang Jian-ping wang Jun-Xian wang Lei wang Meng-Xin wang Shou-Guan wang Shu-Qing wang Xia wang Ya-Nan wang You wang Yue-Fei wang You-Fen wang Peng Wei ming-Zhi Wei Hong Wu Ke-Fei Wu Xue-Bing Wu Yu-Zhong Wu Xiao-Zheng Xing ling-Zhe Xu Xin-Qi Xu Yan Xu Tai-Sheng Yan De-Hua Yang Hai-Feng Yang Hui-Qin Yang ming Yang Zheng-Qiu Yao Yong Yu Hui Yuan Hai-Bo Yuan Hai-Long Yuan Wei-min Yuan Chao Zhai En-Peng Zhang Hua-Wei Zhang Jian-Nan Zhang li-Pin Zhang Wei Zhang Yong Zhang Yan-Xia Zhang Zheng-Chao Zhang ming Zhao Fang Zhou Xu Zhou Jie Zhu Yong-Tian Zhu Si-Cheng Zou Fang Zuo National Astronomical Observatories Chinese Academy of Sciences Department of Astronomy Peking University Shanghai Astronomical Observatory Chinese Academy of Sciences Nanjing Institute of Astronomical Optics & Technology National Astronomical ObservatoriesChinese Academy of Sciences University of Science and Technology of China Department of Physics Applied Physics and AstronomyRensselaer Polytechnic InstituteTroyNY 12180USA Department of Physics and Astronomy Earlham CollegeRichmondIN 47374USA Universitt Heidelberg Zentrum für AstronomieLandessternwarteKnigstuhl 1269117 HeidelbergGermany Department of Astronomy Beijing Normal University Yunnan Observatories Chinese Academy of Sciences Purple Mountain Observatory Chinese Academy of Sciences

The Large sky Area Multi-Object Fiber Spectroscopic Telescope（LAMOST） general survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and collect 10 million spectra of stars, galaxies and QSOs. Objects in both the pilot survey and the first year regular survey are included in the LAMOST DR1. The pilot survey started in October 2011 and ended in June 2012, and the data have been released to the public as the LAMOST Pilot Data Release in August 2012. The regular survey started in September 2012, and completed its first year of operation in June 2013. The LAMOST DR1 includes a total of 1202 plates containing 2 955 336 spectra, of which 1 790 879 spectra have observed signalto-noise ratio（SNR） ≥ 10. All data with SNR ≥ 2 are formally released as LAMOST DR1 under the LAMOST data policy. This data release contains a total of 2 204 696 spectra, of which 1 944 329 are stellar spectra, 12 082 are galaxy spectra and 5017 are quasars. The DR1 not only includes spectra, but also three stellar catalogs with measured parameters： late A,FGK-type stars with high quality spectra（1 061 918 entries）, A-type stars（100 073 entries）, and M-type stars（121 522 entries）. This paper introduces the survey design, the observational and instrumental limitations, data reduction and analysis, and some caveats. A description of the FITS structure of spectral files and parameter catalogs is also provided.

关键词： techniques: spectroscopic survey—data release—catalog

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Lung-protective Ventilation in Patients with Brain Injury： A Multicenter Cross-sectional Study and Questionnaire Survey in China

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Chinese Medical Journal 2016年第14期129卷 1643-1651页

作者： Xu-Ying Luo Ying-Hong Hu Xiang-Yuan Cao Yan Kang li-ping liu Shou-Hong wang rong-Guo Yu Xiang-You Yu Xia Zhang Bao-Shan li Zeng-Xiang Ma Yi-Bing Weng Heng Zhang De-Chang Chen Wei Chen Wen-Jin Chen xiu-Mei Chen Bin Du Mei-li Duan Jin Hu Yun-Feng Hoang Gui-Jun Jia li-Hong li Yu-min liang Bing-Yu Qin Xian-Dong wang Jian Xiong li-Mei Yan Zheng-ping Yang Chen-ming Dong Dong-Xin wang Qing-Yuan Zhan Shuang-lin fu lin Zhao Qi-Bing huang Ying-Guang Xie Xiao-Bo huang Guo-Bin Zhang wang-Bin Xu Yuan Xu Yaling liu He-ling Zhao rong-Qing Sun ming Sun Qing-Hong Cheng Xin Qu Xiao-Feng Yang ming Xu Zhong-Hua Shi Han Chen Xuan He Yan-lin Yang Guang-Qiang Chen xiu-Mei Sun Jian-Xin Zhou Department of Critical Care Medicine Beijing Tiantan Hospital Capital Medical University Beijing 100050 China Department of Critical Care Medicine Second Affiliated Hospital of Zhejiang University School of Medicine Hangzhou Zhejiang 310009 China Department of Critical Care Medicine General Hospital of Ningxia Medical University Yinchuan Ningxia 750004 China Department of Critical Care Medicine West China Hospital Sichuan University Chengdu Sichuan 610041 China Neurological Intensive Care Unit Beijing Tiantan Hospital Capital Medical University Beijing 100050 China Department of Critical Care Medicine Guangdong General Hospital Guangzhou Guangdong 510000 China Surgical Intensive Care Unit Fujian Province Hospital Fuzhou Fujian 350000 China Department of Critical Care Medicine First Affiliated Hospital of Xinjiang Medical University Urumqi Xinjiang 830054 China Department of Critical Care Medicine Bethune International Peace Hospital Shijiazhuang Hebei 050000 China Department of Critical Care Medicine Yuncheng Central Hospital Yuncheng Shanxi 044000 China Department of Emergency and Critical Care Medicine Cangzhou People's Hospital Cangzhou Hebei 061000 China Department of Critical Care Medicine Beijing Luhe Hospital Capital Medical University Beijing 101100 China Department of Critical Care Medicine First Hospital of China Medical University Shenyang Liaoning 110000 China Department of Critical Care Medicine Shanghai Changzheng Hospital Shanghai 200000 China Department of Critical Care Medicine Beijing Shijitan Hospital Capital Medical University Beijing 100038 China Department of Critical Care Medicine Xuanwu Hospital Capital Medical University Beijing 100053 China Department of Critical Care Medicine Miyun County Hospital Beijing 100038 China Medical Intensive Care Unit Peking Union Medical College Hospital Beijing 101500 China Department of Critical Care Medicine Beijing Friendship Hospital Capital Medical University Beijing 100050 Chin

Background： Over the years, the mechanical ventilation （MV） strategy has changed worldwide. The aim of the present study was to describe the ventilation practices, particularly lung-protective ventilation （LPV）, among brain-injured patients in China. Methods： This study was a multicenter, 1-day, cross-sectional study in 47 Intensive Care Units （ICUs） across China. Mechanically ventilated patients （18 years and older） with brain injury in a participating ICU during the time of the study, including traumatic brain injury, stroke, postoperation with intracranial tumor, hypoxic-ischemic encephalopathy, intracranial infection, and idiopathic epilepsy, were enrolled. Demographic data, primary diagnoses, indications for MV, MV modes and settings, and prognoses on the 60th day were collected. Multivariable logistic analysis was used to assess factors that might affect the use of LPV. Results： A total of 104 patients were enrolled in the present study, 87 （83.7%） of whom were identified with severe brain injury based on a Glasgow Coma Scale 〈8 points. Synchronized intermittent mandatory ventilation （SIMV） was the most frequent ventilator mode, accounting for 46.2% of the entire cohort. The median tidal volume was set to 8.0 ml/kg （interquartile range [IQR], 7.0-8.9 ml/kg） of the predicted body weight; 50 （48.1%） patients received LPV. The median positive end-expiratory pressure （PEEP） was set to 5 cmH20 （IQR, 5-5 cmH20）. No PEEP values were higher than 10 cmH20. Compared with partially mandatory ventilation, supportive and spontaneous ventilation practices were associated with LPV. There were no significant differences in mortality and MV duration between patients subjected to LPV and those were not. Conclusions： Among brain-injured patients in China, SIMV was the most frequent ventilation mode. Nearly one-half of the brain-injured patients received LPV. Patients under supportive and spontaneous ventilation were more likely to receive LPV.

关键词： Brain Injury Epidemiology Lung-protective Ventilation Mechanical Ventilation

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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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