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Cardiovascular risk and prevalence of metabolic syndrome by differing criteria

Chinese Medical Journal 2008年第16期121卷 1532-1536页

作者： li wei-ju xue hao sun kai song xiao-dong wang yi-bo zhen yi-song han yun-feng hui ru-tai Hypertension Division Fuwai Hospital and Cardiovascular Institute Key Laboratory of Clinical Cardiovascular Genetics Ministry of Education Sino-German Laboratory for Molecular Medicine Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 100037 China

Background The prevalence of metabolic syndrome （MetS） in hypertensive population in Chinese countryside is unknown. Firstly, this study compared the prevalence of MetS according to National Cholesterol Education Program （NCEP） ATPIII, revised NCEP and International Diabetes Federation （IDF） definitions. Secondly, it investigated the association between MetS, coronary heart disease （CHD） and stroke in patients with hypertension. Methods In this cross sectional study, the cluster sampling method was used. Three MetS definitions were applied to 1418 normal subjects and 5348 hypertensive patients aged 40-75 years in rural areas in China. The agreement between different MetS definitions was estimated by K statistics. Logistic regression analyses determined the association between MetS defined by the three MetS definitions and CHD and stroke. Results In subjects without hypertension, the prevalence of Mets was 4.1% by NCEP definition, 8.3% revised NCEP definition and 7.8% IDF definition. In hypertensive individuals, the prevalence was 14.0%, 32.9%, and 27.4% in men; 35.6%, 53.1%, and 50.2% in women by the same definitions, respectively. In hypertensive individuals, the agreement was 94.4% in men and 97.0% in women between revised NCEP and IDF definitions. The IDF defined MetS was more strongly associated with CHD than the NCEP or revised NCEP defined MetS （adjusted odds ratio： 1.92 compared with 1.85 and 1.69 in men; 1.64 compared with 1.48 and 1.60 in women）. Conclusions In the patients with hypertension, the revised NCEP and IDF definitions identified more individuals than NCEP definition and their agreement is very high. The IDF defined MetS is more strongly associated with CHD than the NCEP or revised NCEP defined MetS, but weakly or not associated with stroke.

关键词： metabolic syndrome hypertension cardiovascular risk National Cholesterol Education Program,International Diabetes Federation

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Ghrelin receptor gene polymorphisms are associated with female metabolic syndrome in Chinese population

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Chinese Medical Journal 2008年第17期121卷 1666-1669页

作者： li wei-ju zhen yi-song sun kai xue hao song xiao-dong wang yi-bo FAN xiao-han han yun-feng hui ru-tai Hypertension Division Fuwai Hospital and Cardiovascular Institute Key Laboratory of Clinical Cardiovascular Genetics Ministry of Education Sino-German Laboratory for Molecular Medicine

Background The ghrelin plays an important role in the regulation of food intake and energy homeostasis. Therefore, the ghrelin receptor gene （GHSR） is an excellent candidate for studying metabolic syndrome. This study aimed to investigate whether polymorphisms in ghrelin receptor gene are associated with metabolic syndrome in Chinese population. Methods Subjects consisted of 698 patients aged 41 to 80 years, diagnosed as metabolic syndrome by International Diabetes Federation （IDF） 2005 criteria, and 762 age- and gender-matched controls. Three variants within the GHSR were selected and genotyped using polymerase chain reaction （PCR） and restriction fragment length polymorphism （RFLP）. Odds ratios were estimated using a case-control study design by controlling confounding factors. Results The NA genotype （rs2922126） in the promoter was associated with metabolic syndrome （OR 1.41, 95%C/ 1.03-1.94）, increased waist circumference （OR 1.75, 95%C/1.26-2.42）, and increased fast blood glucose （OR 1.49, 95%CI 1.07-2.06） in women. The NA genotype （rs509030） in the intron was associated with lower plasma high density lipoprotein in women （OR 1.37, 95%C/1.02-1.84）. Conclusion The polymorphisms within GHSR might be a genetic risk factor for metabolic syndrome in women.

关键词： metabolic syndrome polymorphism ghrelin receptor

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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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Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China

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Biomedical and Environmental Sciences 2020年第12期33卷 893-905页

作者： MA Yan ZHU dong Shan CHEN Ren bo SHI Nan Nan liU Si Hong FAN yi Pin WU Gui hui YANG Pu Ye BAI Jiang feng CHEN Hong CHEN li ying feng Qiao GUO Tuan Mao HOU Yong HU Gui Fen HU xiao Mei HU yun Hong HUANG Jin HUANG Qiu Hua HUANG Shao zhen JI liang JIN Hai hao LEI xiao li Chun Yan li Min Qing li Qun Tang li Xian Yong liU Hong De liU Jin Ping liU Zhang MA Yu Ting MAO Ya MO liu Fen NA hui wang Jing wei song Fang li sun Sheng wang dong Ting wang Ming Xuan wang xiao Yan wang yin zhen wang Yu dong WU wei WU Lan Ping xiao Yan Hua XIE Hai jun XU Hong Ming XU Shou Fang xue rui Xia YANG Chun YANG kai jun YUAN Sheng li ZhanG Gong Qi ZhanG Jin bo ZhanG lin song Zhao Shu Sen Zhao Wan ying zhenG kai ZHOU ying Chun ZHU jun Teng ZHU Tian Qing ZhanG Hua Min wang Yan Ping wang Yong Yan 无 Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical SciencesBeijing 100700China Centre for Health Management and Policy Research School of Public HealthCheeloo College of MedicineShandong UniversityJinan 250012ShandongChina Institute of Information on Traditional Chinese Medicine China Academy of Chinese Medical SciencesBeijing 100700China Department of Tuberculosis The Public Health Clinical Center of ChengduChengdu 610066SichuanChina Department of Infectious Disease Shaanxi Infectious Disease HospitalXi'an 610113ShaanxiChina Department of Infectious Disease Yulin Chinese Medicine HospitalYulin 719000ShaanxiChina President's Office The First Hospital of QiqiharQiqihar 161005HeilongjiangChina Department of Traditional Chinese Medicine Shangluo Central HospitalShangluo 726000ShaanxiChina Department of Traditional Chinese Medicine The People's Hospital of QitaiheQitaihe 154603HeilongjiangChina Department of Scientific Research Xianyang Central HospitalXianyang 712000ShaanxiChina Department of traditional Chinese medicine The First Affiliated Hospital of Anhui University of Traditional Chinese MedicineHefei 230012AnhuiChina Department of Infectious Disease Heping Hospital Affiliated to Changzhi Medical CollegeChangzhi 046000ShanxiChina Department of Traditional Chinese Medicine Langfang Hospital of Chinese MedicineLangfang 065000HeibeiChina Department of Traditional Chinese Medicine Xingtai Hospital of Chinese MedicineXingtai 054001HeibeiChina Department of Traditional Chinese Medicine The People's Hospital of Guangxi Zhuang Autonomous RegionNanning 168600GuangxiChina Department of Traditional Chinese Medicine The First People'sHospital of FangchenggangFangchenggang 538001GuangxiChina Department of Traditional Chinese Medicine Mianyang Hospital of Traditional Chinese MedicineMianyang 621000SichuanChina Department of Traditional Chinese Medicine Liuzhou People's HospitalLiuzhou 545006GansuChina Department of Traditional Chinese Medici

Objective Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains *** A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients’ medical records. Multivariable logistic regression models were used to estimate the odds ratio(OR) and 95% confidence interval(95% CI) of the associations between comorbidities(cardiometabolic or non-cardiometabolic diseases), clinical severity, and treatment outcomes of *** Overall, 158(13.6%) patients were diagnosed with severe illness and 32(2.7%) had unfavorable outcomes. Hypertension(2.87, 1.30–6.32), type 2 diabetes(T2 DM)(3.57, 2.32–5.49),cardiovascular disease(CVD)(3.78, 1.81–7.89), fatty liver disease(7.53, 1.96–28.96), hyperlipidemia(2.15, 1.26–3.67), other lung diseases(6.00, 3.01–11.96), and electrolyte imbalance(10.40, 3.00–26.10)were independently linked to increased odds of being severely ill. T2 DM(6.07, 2.89–12.75), CVD(8.47,6.03–11.89), and electrolyte imbalance(19.44, 11.47–32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission(5.46,3.25–9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes(6.58, 1.46–29.64) within two *** Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.

关键词： Comorbidities COVID-19 Severity Gender Age Treatment outcome

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Prevalence, awareness, treatment, and control of hypertension in the non-dialysis chronic kidney disease patients

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Chinese Medical Journal 2013年第12期126卷 2276-2280页

作者： zhenG ying CAI Guang-yan CHEN Xiang-mei FU Ping CHEN Jiang-hua DING xiao-qiang YU xue-qing liN Hong-li liU Jian XIE ru-juan wang li-ning NI Zhao-hui liU Fu-you yiN Ai-ping XING Chang-ying wang li SHI wei liU Jian-she HE Ya-ni DING Guo-hua li Wen-ge WU Guang-li MIAO li-ning CHEN Nan SU zhen MEI Chang-lin Zhao Jiu-yang GU Yong BAI yun-kai LUO hui-min liN Shan CHEN Meng-hua GONG li YANG yi-bin YANG xiao-ping li ying WAN Jian-xin wang Nian-song li Hai-ying XI Chun-sheng hao li XU Yan FANG Jing-ai liU Bi-cheng li Rong-shan wang Rong ZhanG Jing-hong wang Jian-qin LOU Tan-qi Shao feng-min MEI feng liU Zhi-hong YUAN wei-jie sun Shi-ren ZhanG ling ZHOU Chun-hua CHEN Qin-kai JIA Shun-lian GONG Zhi-feng GUAN Guang-ju XIA Tian ZHONG liang-bao Department of Nephrology State key Laboratory of Kidney Disease Chinese PLA General Hospital Beijing 100853 China Nephrology Institute of the Chinese People's liberation Army Chinese People's Liberation Army Key Laboratory of Nephrology Beijing 100853 China Department of Nephrology West China Hospital of Sichuan University Chengdu Sichuan 610041 China Department of Nephrology First Affiliated Hospital School of Medicine Zhejiang University Hangzhou Zhejiang 310003 China Department of Nephrology Zhongshan Hospital Fudan University Shanghai 200032 China Department of Nephrology First Affiiated Hospital of Sun Yat-sen University Guangzhou Guangdong 510080 China Department of Nephrology First Affiliated Hospital of Dalian Medical University Dalian Liaoning 116011 China Department of Nephrology First Affiliated Hospital of Xinjiang Medical University Urumqi Xinjiang 830054 China Department of Nephrology First Affiliated Hospital of Harbin Medical University Harbin Heilongjiang 150001 China Department of Nephrology First Afftiated Hospital of China Medical University Shenyang Liaoning 110001 China Department of Nephrology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai 200025 China Department of Nephrology Second Xiangya Hospital Central South University Changsha Hunan 410000 China Department of Nephrology First Affiliated Hospital of Medical College Xi'an Jiaotong University Xi'an Shaanxi 710061 China Department of Nephrology First Affiliated Hospital of Nanjing Medical University (Jiangsu Province Hospital) Nanjing Jiangsu 210029 China Department of Nephrology Sichuan Provincial People's Hospital Chengdu Sichuan 610072 China Department of Nephrology Guangdong Provincial People's Hospital Guangzhou Guangdong 510030 China Department of Nephrology Affliated Xiehe Hospital Tongji Medical College Huazhong Science and Technology University Wuhan Hubei 430022 China Department of Nephrology Daping Hospital Third Military Medi

Background Data on the epidemiology of hypertension in Chinese non-dialysis chronic kidney disease （CKD） patients are *** aim of the present study was to investigate the prevalence,awareness,treatment,and control of hypertension in the non-dialysis CKD patients through a nationwide,multicenter study in *** The survey was performed in 61 tertiary hospitals in 31 provinces,municipalities,and autonomous regions in China （except Hong Kong,Macao,and taiwan）.Trained physicians collected demographic and clinical data and measured blood pressure （BP） using a standardized *** was defned as systolic BP ≥140 mmHg and/or diastolic BP ≥90 mmHg,and/or use of antihypertensive *** 〈140/90 mmHg and 〈130/80 mmHg were used as the 2 thresholds of hypertension *** multivariate logistic regression with adjustment for sex and age,we analyzed the association between CKD stages and uncontrolled hypertension in non-dialysis CKD *** The analysis included 8927 non-dialysis CKD *** prevalence,awareness,and treatment of hypertension in non-dialysis CKD patients were 67.3%,85.8%,and 81.0%,*** hypertensive CKD patients,33.1% and 14.1% had controlled BP to 〈140/90 mmHg and 〈130/80 mmHg,*** successive CKD stages,the prevalence of hypertension in non-dialysis CKD patients increased,but the control of hypertension decreased （P〈0.001）.When the threshold of BP 〈130/80 mmHg was considered,the risk of uncontrolled hypertension in CKD 2,3a,3b,4,and 5 stages increased 1.3,1.4,1.4,2.5,and 4.0 times compared with CKD 1 stage,respectively （P〈0.05）.Using the threshold of 〈140/90 mmHg,the risk of uncontrolled hypertension increased in advanced stages （P〈0.05）.Conclusions The prevalence of hypertension Chinese non-dialysis CKD patients was high,and the hypertension control was *** successive CKD stages,the risk of uncontrolled hypertension increased.

关键词： non-dialysis chronic kidney disease chronic kidney disease stages hypertension epidemiology

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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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2017年中国ICU患者营养治疗实施状况横断面调查

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解放军医学杂志 2019年第5期44卷 388-393页

作者：邢娟章仲恒柯路周晶秦秉玉梁宏开陈晓梅刘文明刘忠民艾宇航王迪芬王秋卉周青山张福森钱克俭蒋东坡臧彬黎毅敏黄晓波曲彦谢颖光许东琳邹志强郑祥德刘建波郭丰梁亚风孙强高红梅刘阳常平程爱斌杨荣利么改琦孙昀王晓蓉张怡熊旭明于健孙荣青李志伟袁世荧宋云林高培阳刘海燕张朝辉吴允孚马标郭强山峰杨明施李海玲李圆菲鲁卫华王磊钱传云王智勇林建东张汝敏万鹏彭志勇龚裕强黄林喜伍国宝孙洁邓义军师东武周立新周发春石秦东郭晓东刘雪燕武卫东孟祥忠李连弟陈炜炜李树生万献尧曹志新张安古利明陈炜吴京兰周丽华张震环翁以炳封永顺杨春丽冯永健赵素民佟飞郝东韩辉付宝才巩传勇李志平胡琨琳寇秋野张晗刘洁樊楚明周新陈秀梅孙俊丽周学军宋斌孙诚赵丽芸董兴鲁张琳琳佟大为潘志国蔡常洁王东浩董英俊龚园其吴志松孟新科王平李维勤南京医科大学金陵临床医学院南京210002 无锡人民医院江苏无锡214001 北京市密云区医院北京101500 洛阳市中心医院河南洛阳471009 北京市怀柔区第一医院北京101400 陆军总医院北京100700 广东省人民医院广州510080 广东省第二中医院广州510095 北京中医医院北京100010 安徽省立医院西院区合肥230001 沈阳市第一人民医院沈阳110041 南部战区总医院广州510050 湖北省人民医院武汉430060 中山大学附属第一医院广州510080 天津市肿瘤医院天津300060 山西省肿瘤医院太原030000 南昌大学第二附属医院南昌330006 北京中医药大学东方医院北京100029 深圳第二人民医院广东深圳100730 成都市第五人民医院成都611130 泰安市中心医院山东泰安271000 南昌大学第一附属医院南昌330006 陆军军医大学大坪医院重庆400042 中国医科大学附属第二医院沈阳110004 广州医科大学附属第一医院广州510120 四川省人民医院成都610072 青岛市立医院青岛266071 济宁市第一人民医院山东济宁272000 浙江大学医学院附属邵逸夫医院杭州310016 广州市第一人民医院广州510000 福建医科大学附属协和医院福州350001 达州市中心医院四川达州635000 内蒙古自治区人民医院呼和浩特010017 烟台毓璜顶医院山东烟台264000 天津市人民医院天津300000 天津市第一中心医院天津300192 唐山市工人医院河北唐山063000 南方医科大学珠江医院广州510515 华北理工大学附属医院河北唐山063210 河南省人民医院郑州450003 大连市中心医院辽宁大连116033 北京大学第三医院北京100083 安徽医科大学第二附属医院合肥230601 温州医科大学附属第一医院浙江温州325000 陕西省人民医院西安710068 广州医科大学附属第二医院广州510120 大连医科大学附属第二医院辽宁大连116011 郑州大学第一附属医院郑州450052 昆明市第一人民医院昆明650011 华中科技大学同济医学院附属协和医院武汉430030 中山市人民医院广东中山528403 新疆医科大学第一附属医院乌鲁木齐830054 成都中医药大学附属医院成都610075 安徽医科大学第一附属医院合肥230032 宜昌市中心人民医院湖北宜昌443003 苏州市立医院东区江苏苏州215008 济宁医学院附属医院山东济宁272000 苏州大学附属第一人民医院江苏苏州215006 青岛大学医学院附属医院东院区山东青岛266071 中南大学湘雅三医院长沙410013 海军第971医院山东青岛266073 山东大学齐鲁医院济南250012 长沙市中心医院长沙410000 皖南医学院弋矶山医院安徽芜湖241002 山西医科大学第一医院太原030001 昆明医科大学第一附属医院昆明650032 河北医科大学第三医院石家庄050017 福建医科大学附属第一医院福州350004 淄博市中心医院山东淄博100085 宜昌市第一人民医院湖北宜昌443003 武汉大学中南医院武汉430071 温州医科大学附属第二医院浙江温州325035 常州市第二人民医院江苏常州213003 汕头大学医学院第一附属医院广东汕头515041 中南大学湘雅二医院长沙410013 云南省第二人民医院昆明650021 盐城市第一人民医院江苏盐城224006 山西省人民医院太原030012 佛山市第一人民医院广东佛山528000 重庆医科大学附属第一医院重庆400016 西安交通大学第一附属医院西安710061 解放军总医院第三医学中心北京100039 深圳市人民医院广东深圳518001 吉林大学第一医院长春130031 山西医学科学院山西大医院太原030032 解放军第254医院天津300142 青岛大学附属医院山东青岛266003 临海市第一人民医院浙江台州317000 华中科技大学同济医学院附属同济医院武汉430030 大连医科大学附属第一医院辽宁大连116011 北京朝阳医院京西院区北京100043 重庆医科大学附属第二医院重庆400016 玉溪市人民医院云南玉溪653405 首都医科大学世纪坛医院北京100036 中南大学湘雅医院长沙410013 深圳市南山人民医院广东深圳518067 内蒙古医科大学附属医院呼和浩特010050 南京明基医院南京210019 首都医科大学附属北京潞河医院北京101149 京煤集团总医院北京102300 江西省人民医院南昌330006 暨南大学附属第一医院广

目的了解国内ICU收治患者的营养治疗实施状况。方法对国内116家医院的118个ICU内的患者进行营养治疗实施状况的横断面调查。以2017年4月26日0时所有在ICU内治疗的患者为调查对象,收集患者基本信息、2017年4月25日(即调查日)的营养实施... 详细信息

目的了解国内ICU收治患者的营养治疗实施状况。方法对国内116家医院的118个ICU内的患者进行营养治疗实施状况的横断面调查。以2017年4月26日0时所有在ICU内治疗的患者为调查对象,收集患者基本信息、2017年4月25日(即调查日)的营养实施和胃肠道耐受情况,以及患者的28 d临床转归情况。结果调查共收集病例1953例,女631例(32.4%),男1306例(66.9%),缺失16例(0.7%);年龄(64.1±19.3)岁(1950例)。患者GCS、SOFA和APACHEⅡ评分分别为(10.76±4.35)分(1749例)、(5.65±3.52)分(1783例)、(17.14±7.31)分(1792例)。28 d临床转归存活1483例(75.9%),死亡312例(16.0%),失访+缺失158例(8.1%)。除身高和体重(P=0.000)外,男性与女性患者在年龄、病情严重程度及28 d临床转归等方面差异均无统计学意义。1953例患者中,胃肠功能评估为正常或轻度损害占73.7%(1440例),中-重度损害占10.8%(210例),衰竭占1.7%(33例),13.2%(258例)的患者未做评估。截至调查日,69.4%(1356例)的患者已启动肠内营养(EN),36.4%(711例)的患者已启动肠外营养(PN)。调查日有营养摄入的患者1720例(88.1%)。1953例患者中明确有恶心、呕吐反流、误吸、腹痛、腹胀、腹泻(大便次数≥3次/d且量≥500 ml/d)等胃肠道不耐受表现的分别占总人数的4.8%(93例)、5.4%(105例)、0.9%(17例)、8.7%(170例)、27.5%(538例)和4.3%(84例)。在1270例使用EN的病例中,明确存在恶心、呕吐反流、误吸、腹痛、腹胀、腹泻等不耐受症状的分别占3.2%(40例)、4.3%(54例)、0.8%(10例)、4.4%(56例)、26.9%(341例)和5.4%(69例)。入ICU后24 h内开始EN治疗的患者占22.4%(437/1953),48 h内开始的占38.6%(754/1953),72 h内开始的占46.6%(911/1953)。患者入ICU后3 d总热卡(EN+PN非蛋白热卡)达标率为12.9%(78/607),7 d总热卡达标率为18.7%(189/1010),14 d总热卡的达标率为23.0%(305/1325)。入ICU后3、7、14 dEN达标率分别为9.9%(60/607)、15.0%(151/1010)和18.6%(246/1325)。结论目前我国ICU内的绝大多数患者均接受了营养治疗,其中EN的使用率明显高于PN;但EN的开始时间和达标情况仍不理想,且实施营养治疗时未能体现个体化差异,营养治疗的细节仍需要提高。

关键词：横断面研究肠内营养重症监护病房胃肠道耐受性营养达标率

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2005年中国城市CO2排放数据集

引用

中国人口·资源与环境 2018年第4期28卷 1-7页

作者：蔡博峰刘晓曼陆军王金南刘红光陈洋陈占明丛建辉崔志鹏代春艳董会娟方恺冯彤郭杰李芬孟凡鑫唐伟王庚哲谢运生张建军阿依吐尔逊·沙木西布买日也木·买买提蔡伟光曾胜常盼陈前利陈振国单钰理丁冠乔独威范敏冯相昭干晓宇高壮飞谷雨何凌昊何姚胡鸣明黄丽珍黄桥贾小平菊春燕蓝菁李爽李松李耀光李照令刘合林刘婧文刘庆燕刘竹逯飞马贤磊欧金沛潘栋沈杨税月孙露谭效时唐敏唐袆祺王柯王思亓王香爱王晓培吴家杰吴雪萍肖连香邢文婷徐丽笑叶瑞克袁子坤张飞云张袆张明张琦峰张曦文张宇赵晶赵胜男郑思伟周来友朱天琦曹丽斌冯乐李栋李一静龙瀛孙瑞红环境保护部环境规划院北京100012 中国科学院大气物理研究所北京100029 南京农业大学公共管理学院江苏南京210095 上海财经大学城市与区域科学学院上海200433 中国人民大学经济学院北京100872 山西大学经济与管理学院山西太原030006 E20环境平台咨询部北京100195 重庆工商大学长江上游经济研究中心重庆400067 上海交通大学环境科学与工程学院上海200240 浙江大学公共管理学院浙江杭州310058 天津大学管理与经济学部天津300072 南京农业大学土地管理学院江苏南京210095 深圳市建筑科学研究院股份有限公司北京研创中心广东深圳518049 华南理工大学环境与能源学院广东广州510006 杭州市环境保护科学研究院环境政策研究中心浙江杭州310014 埃因霍芬理工大学建筑学院荷兰埃因霍芬5616SC 江西省科学院能源研究所江西南昌330000 中国地质大学(北京)土地科学技术学院北京100083 新疆农业大学管理学院新疆乌鲁木齐830052 重庆大学建设管理与房地产学院重庆400044 重庆工商大学财政金融学院重庆400067 东安格利亚大学国际发展学院英国诺维奇NR47TJ 环境保护部环境发展中心北京100029 环境保护部环境与经济政策研究中心北京100029 四川大学建筑与环境学院四川成都610065 浙江工业大学政治与公共管理学院浙江杭州310023 美国绿色建筑委员会城市与社区部北京100085 挪威科技大学工程学院挪威约尔维克2815 北京师范大学统计学院北京100875 青岛科技大学环境学院山东青岛266000 北京大学遥感与地理信息系统研究所北京100871 北京师范大学环境学院北京100875 筑波大学日本筑波305-0005 华中科技大学建筑与城市规划学院湖北武汉430074 美国东北大学工学院美国波士顿02115 河北省环境科学研究院规划所河北石家庄050037 中山大学地理科学与规划学院广东广州北京林业大学环境科学与工程学院北京宁波职业技术学院商贸外语学院浙江宁波重庆工商大学土地管理学院重庆日本国立环境研究所社会环境系统研究中心日本筑波中国船舶重工集团公司第七一四研究所北京重庆工商大学管理学院重庆渭南师范学院化学与材料学院陕西渭南福州大学经济与管理学院福建福州扬州大学环境科学与工程学院江苏扬州中国矿业大学管理学院江苏徐州北京大学城市与环境学院北京内蒙古大学公共管理学院内蒙古呼和浩特江苏大学财经学院江苏镇江赤峰学院资源与环境科学学院内蒙古赤峰新余学院经济管理学院江西新余北京市环境保护科学研究院生态与城市环境研究所北京北京清华同衡规划设计研究院有限公司技术创新中心北京100085 北京大学汇丰商学院英国校区华威大学交叉学科研究方法中心英国牛津100871 清华大学建筑学院北京100062 上海工程技术大学管理学院上海021620

2005年是中国承诺碳减排目标的基准年份,因而也是中国城市碳减排战略制定和近中期低碳转型的基准年份和对照年份。中国城市2005年CO_2排放数据的一致性、全面性和精准性对于中国所有城市和每个具体城市的目标考核和评估都有重要意义。... 详细信息

2005年是中国承诺碳减排目标的基准年份,因而也是中国城市碳减排战略制定和近中期低碳转型的基准年份和对照年份。中国城市2005年CO_2排放数据的一致性、全面性和精准性对于中国所有城市和每个具体城市的目标考核和评估都有重要意义。基于中国高空间分辨率网格数据(CHRED 2.0)、城市层面统计数据以及大量现场调研和走访,建立2005年中国城市CO_2排放数据集,包括工业能源排放、工业过程排放、农业排放、服务业排放、城镇生活排放、农村生活排放、交通排放7个部门的直接排放数据和间接排放数据。该数据集的建立汇总了86名研究人员的工作成果,在企业、城市不同行业与部门、城市工业和城市总化石能源等不同层面进行了大量的交叉验证和数据分析,有效保障了数据的精确性和准确性。结果显示,2005年中国城市碳排放呈现出较大的体量差异和空间格局差异。排放前10的城市几乎比排放后10的城市的排放量高出两个数量级。高排放城市基本都是城市群的核心城市。东部城市直接排放占全国直接排放比例最高,达到44.59%,其次是西部城市21.76%,中部城市22.70%,东北城市10.95%。

关键词：城市 CO 2排放数据集中国高空间分辨率网格

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