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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

Detection of an anti-angina therapeutic module in the effective population treated by a multi-target drug Danhong injection:a randomized trial

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Signal Transduction and Targeted Therapy 2021年第10期6卷 3009-3018页

作者： Jun Liu Dan-Dan Li wei dong Yu-Qi Liu Yang Wu Da-Xuan tang Fu-Chun zhang Meng Qiu Qi hua jing-Yu He Jun Li Bai Du Ting-Hai Du lin-lin Niu Xue-Jun Jiang Bo Cui Jiang-Bin Chen Yang-Gan Wang Hai-Rong Wang Qin Yu jing He Yi-lin Mao Xiao-Fang Bin Yue Deng Yu-Dan tian Qing-hua Han Da-Jin Liu Li-Qin Duan Ming-Jun Zhao Cui-ying zhang Hai-ying Dai Ze-hua Li ying Xiao You-Zhi Hu Xiao-Yu huang Kun Xing Xin Jiang Chao-Feng Liu jing An Feng-Chun Li Tao Tao Jin-Fa Jiang ying Yang Yao-Rong dong Lei zhang Guang Fu ying Li Shu-wei huang Li-Ping Dou Lan-Jun Sun ying-Qiang Zhao Jie Li Yun Xia Jun Liu Fan Liu Wen-Jin He ying Li Jian-Cong Tan Yang lin Ya-Bin Zhou Jian-Fei Yang guo-Qing Ma Hui-Jun Chen He-Ping Liu Zong-Wu Liu Jian-Xiong Liu Xiao-Jia Luo Xiao-Hong Bin Ya-Nan Yu Hai-Xia Dang Bing Li Fei Teng Wang-Min Qiao Xiao-Long zhu Bing-wei Chen Qi-Guang Chen Chun-Ti Shen Yong-Yan Wang Yun-Dai Chen Zhong Wang Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical SciencesBeijingChina Department of Cardiology Chinese PLA General HospitalBeijingChina Department of Cardiology Dongfang Hospital Affiliated to Beijing University of Chinese MedicineBeijingChina Department of Geratology Peking University Third HospitalBeijingChina Department of Cardiology Xuan Wu HospitalCapital Medical UniversityBeijingChina Department of Cardiology Guang'anmen HospitalChina Academy of Chinese Medical SciencesBeijingChina Department of Cardiology First Affiliated Hospital of Henan University of Chinese MedicineZhengzhouHenanChina Department of Cardiology Wuhan University Renmin HospitalWuhanHubeiChina Department of Cardiology Wuhan University Zhongnan HospitalWuhanHubeiChina Affiliated Zhongshan Hospital of Dalian University DalianLiaoningChina Department of Cardiology Second Affiliated Hospital to Hunan University of Chinese MedicineChangshaHunanChina Department of Cardiology First Affiliated Hospital to Changchun University of Chinese MedicineChangchunJilinChina Department of Cardiology First Affiliated Hospital to Shanxi Medical UniversityTaiyuanShanxiChina Department of Cardiology Affiliated Hospital of Shanxi University of Chinese MedicineXianyangShanxiChina Department of Cardiology Changsha Central HospitalChangshaHunanChina Department of Cardiology Hubei Provincial Hospital of Traditional Chinese MedicineWuhanHubeiChina Department of Cardiology Shanxi Provincial People's HospitalXi'anShanxiChina Department of Cardiology Shanxi Province Hospital of Traditional Chinese MedicineXi'anShanxiChina Department of Cardiology Xi'an City Hospital of Traditional Chinese MedicineXi'anShanxiChina Department of Cardiology Shanghai Tongji HospitalShanghaiChina Department of Cardiology Shanghai Municipal Hospital of Traditional Chinese MedicineShanghaiChina Department of Cardiology The First Hospital of ChangshaChangshaHunanChina Department of Cardiology Xinhua Hospi

It's a challenge for detecting the therapeutic targets of a polypharmacological drug from variations in the responsed networks in thedfferentiated populations with complex diseases,as stable coronary heart ***,in an adaptive,31-center,randomized,double-blind trial invoving 920 patients with moderate symptomatic stable angina treated by 14-day Danhong injection(DHI),a kind of polyphamacological drug with high quality control,or placebo(0.9%saline),with 76-day following-up,we firstly confrmed that DHl couldincrease the proportion of patients with clinically significant changes on angina-frequency assessed by Seattle Angina Questionnaire(ASAQ-AF220)(12.78%at Day 30,95%confidence interval[C]5.86-19.71%,P=0.0003,13.82%at Day 6C0,95%CI 6.82-20.82%,P=0.0001and 8.95%at Day 90,95%CI 2.06-15.85%,P=0.01).We also found that there were no significant differences in new-onset major vascularevents(P=0.8502)and serious adverse events(P=0.9105)between DHl and *** performing the RNA sequencing in 62 selectedpatients,we developed a systemic modular approach tp identfy differentilly expressed modules(DEMs)of DHI with the Z_(summay)valueless than 0 compared with the control group,calculated by weighted gene co-expression network analysis(WGCNA),and sketched out thebasic framework on a modular map with 25 functional modules targeted by ***,the effective therapeutic module(ETM),defined as the highest corelation value with the phenotype alteration(SAQ-AF,the change in SAQ-AF at Day 30 from baseline)calculatedby WGCNA,was identifed in the population with the best effect(ASAQ-AF240),which is related to anticoagulation and regulation ofcholesterol *** assessed the modular flexbility of this ETM using the global topological D value based on Euclidean distance,which is corelated with phenotype alteration(r^(2):0.8204,P=0.019)by linear *** study identified the ant-angina therapeuticmodule in the effective population treated by the multi-target

关键词： angina injection sketch

Data release of the LAMOST pilot survey

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Research in Astronomy and Astrophysics 2012年第9期12卷 1243-1246页

作者： A-Li Luo Hao-Tong zhang Yong-Heng Zhao Gang Zhao Xiang-Qun Cui guo-Ping Li Yao-Quan Chu Jian-Rong Shi Gang Wang Jian-Nan zhang Zhong-Rui Bai Xiao-Yan Chen Feng-Fei Wang Yan-Xin guo Jian-Jun Chen Bing Du Xiao Kong Ya-Juan Lei Yin-Bi Li Yi-Han song Yue Wu Yan-Xia zhang Xin-lin Zhou Fang Zuo Peng Du lin He Wen Hou Yi-Qiao dong Jian Li Guang-wei Li Shuang Li jing song Yuan tian Meng-Xin Wang Yong-Hui Hou Zhi-ying Huo Hong-zhuan Hu Ning-Sheng Hu Zhong-Wen Hu Lei Jia Fang-hua Jiang Xiang Jiang Zi-Bo Jiang Ge Jin Ai-hua Li Qi Li Yin-Dun Mao Zheng-Hong tang Qing-Sheng Tao Liang-Ping Tu Da-Qing Wang Dan Wang Jian-Ping Wang Lei Wang Shou-Guan Wang Shu-Qing Wang Ya-Nan Wang You Wang Yue-Fei Wang Ming-Zhi wei Xiang-Xiang Xue Xiao-Zheng Xing ling-Zhe Xu Xin-Qi Xu Yan Xu De-hua Yang Shi-Hai Yang Zheng-Qiu Yao Yong Yu Hui Yuan Chao Zhai En-Peng zhang jing zhang Li-Ping zhang weizhang Yong zhang Zhen-Chao zhang Ming Zhao Fang Zhou Yong-tian zhu Jie zhu Si-Cheng Zou National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China lal @ lamost o rg Nanjing Institute of Astronomical Optics and Technology National Astronomical ObservatoriesChinese Academy of Sciences Nanjing 210042 China University of Science and Technologyof China Hefei 230026 China Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai 200030 China Institute of Architecture Design and Research Chinese Academy of Sciences Beijing 100190China

This paper describes the data release of the LAMOST pilot survey, which includes data reduction, calibration, spectral analysis, data products and data access. The accuracy of the released data and the information about the FITS headers of spectra are also introduced. The released data set includes 319 000 spectra and a catalog of these objects.

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

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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Biomarkers of aging

Science China(Life Sciences) 2023年第5期66卷 893-1066页

作者： Aging Biomarker Consortium Hainan Bao Jiani Cao Mengting Chen Min Chen wei Chen Xiao Chen Yanhao Chen Yu Chen Yutian Chen Zhiyang Chen Jagadish K Chhetri yingjie Ding Junlin Feng Jun guo Mengmeng guo Chuting He Yujuan Jia Haiping Jiang ying jing Dingfeng Li Jiaming Li jingyi Li Qinhao Liang Rui Liang Feng Liu Xiaoqian Liu Zuojun Liu Oscar Junhong Luo Jianwei Lv jingyi Ma Kehang Mao Jiawei Nie Xinhua Qiao Xinpei Sun Xiaoqiang tang Jianfang Wang Qiaoran Wang Siyuan Wang Xuan Wang Yaning Wang Yuhan Wang Rimo Wu Kai Xia Fu-Hui Xiao lingyan Xu yingying Xu Haoteng Yan Liang Yang Ruici Yang Yuanxin Yang Yilin ying Le zhang weiwei zhang Wenwan zhang Xing zhang zhuo zhang Min Zhou Rui Zhou Qingchen zhu Zhengmao zhu Feng Cao Zhongwei Cao Piu Chan Chang Chen guobing Chen Hou-Zao Chen Jun Chen weimin Ci Bi-Sen Ding Qiurong Ding Feng Gao jing-dong JHan Kai huang Zhenyu Ju Qing-Peng Kong Ji Li Jian Li Xin Li Baohua Liu Feng Liu lin Liu Qiang Liu Qiang Liu Xingguo Liu Yong Liu Xianghang Luo Shuai Ma Xinran Ma Zhiyong Mao jing Nie Yaojin Peng jing Qu Jie Ren Ruibao Ren Moshi song Zhou songyang Yi Eve Sun Yu Sun Mei tian Shusen Wang Si Wang Xia Wang Xiaoning Wang Yan-Jiang Wang Yunfang Wang Catherine CL Wong Andy Peng Xiang Yichuan Xiao Zhengwei Xie Daichao Xu jing Ye Rui Yue Cuntai zhang Hongbo zhang Liang zhang weiqi zhang Yong zhang Yun-Wu zhang zhuohua zhang Tongbiao Zhao Yuzheng Zhao Dahai zhu weiguo Zou Gang Pei Guang-Hui Liu Aging Biomarker Consortium(ABC) Beijing 100101China CAS Key Laboratory of Genomic and Precision Medicine Beijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijing 100101China State Key Laboratory of Stem Cell and Reproductive Biology Institute of ZoologyChinese Academy of SciencesBeijing 100101China Department of Dermatology Xiangya HospitalCentral South UniversityChangsha 410008China Hunan Key Laboratory of Aging Biology Xiangya HospitalCentral South UniversityChangsha 410008China National Clinical Research Center for Geriatric Disorders Xiangya HospitalCentral South UniversityChangsha 410008China Clinic Center of Human Gene Research Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Hubei Clinical Research Center of Metabolic and Cardiovascular Disease Huazhong University of Science and TechnologyWuhan 430022China Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging Huazhong University of Science and TechnologyWuhan 430022China Stem Cell Translational Research Center Tongji HospitalTongji University School of MedicineShanghai 200065China Department of Nuclear Medicine Daping HospitalThird Military Medical UniversityChongqing 400042China CAS Key Laboratory of Nutrition Metabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200031China Shanghai Key Laboratory of Maternal Fetal Medicine Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalFrontier Science Center for Stem Cell ResearchShanghai Key Laboratory of Signaling and Disease ResearchSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China The Department of Endovascular Surgery The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China Key Laboratory of Regenerative Medicine of Ministry of Education Institute of Ageing and Regenerative MedicineJ

Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological *** a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly *** immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research:How old are we?Why do we get old?And how can we age slower?This review aims to address this ***,we summarize our current knowledge of biomarkers developed for cellular,organ,and organismal levels of aging,comprising six pillars:physiological characteristics,medical imaging,histological features,cellular alterations,molecular changes,and secretory *** fulfill all these requisites,we propose that aging biomarkers should qualify for being specific,systemic,and clinically relevant.

关键词： aging senescence biomarker clock

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

2019—2020年160例儿童肺炎链球菌脑膜炎临床流行病学多中心研究

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中国当代儿科杂志 2024年第2期26卷 131-138页

作者：王彩云许红梅刘钢刘静俞蕙陈必全郑帼舒敏杜丽君徐志伟黄丽素李海波汪东白松婷单庆文朱春晖田健美郝建华林爱伟林道炯吴谨准张新华曹清陶仲宾陈源朱国龙薛萍汤正珍苏学文曲政海赵仕勇庞琳邓慧玲舒赛男陈英虎浙江大学医学院附属儿童医院感染科浙江杭州310052 重庆医科大学附属儿童医院感染科重庆400014 首都医科大学附属北京儿童医院感染科北京100045 湖南省儿童医院感染科湖南长沙410007 复旦大学附属儿科医院感染科上海201102 安徽省儿童医院感染科安徽合肥230022 南京医科大学附属儿童医院神经科江苏南京210008 四川大学华西第二医院儿科四川成都610044 山西省儿童医院神经内科山西太原030006 温州医科大学附属第二医院/育英儿童医院普儿科浙江温州325027 上海交通大学医学院附属新华医院感染科上海200092 吉林大学第一医院儿科门诊吉林长春130061 西安交通大学附属儿童医院陕西西安710002 郑州大学第一附属医院儿科河南郑州450052 广西医科大学第一附属医院儿科广西南宁530021 江西省儿童医院感染科江西南昌330006 苏州大学附属儿童医院感染科江苏苏州215002 河南开封市儿童医院感染科河南开封475000 山东大学儿童院感染科山东济南250022 海南省妇幼保健院感染科海南海口571103 厦门大学附属妇女儿童医院儿科福建厦门361003 山西省儿童医院新生儿科山西太原030006 上海交通大学医学院附属上海儿童医学中心感染科上海200127 兰州大学第一医院儿科甘肃兰州730013 河北医科大学第二医院儿科河北石家庄050004 青海省妇女儿童医院感染消化科青海西宁810007 太原市妇幼保健院儿内科山西太原030012 遵义市第一人民医院儿科贵州遵义563099 内蒙古自治区人民医院儿科内蒙古呼和浩特750306 青岛大学附属医院儿科山东青岛266003 杭州市儿童医院感染科浙江杭州310005 首都医科大学附属北京地坛医院儿科北京100102 西安市中心医院儿科陕西西安710004 华中科技大学同济医学院附属同济医院儿科湖北武汉430030

目的研究中国儿童肺炎链球菌脑膜炎(pneumococcal meningitis,PM)的临床特征、转归和分离菌株肺炎链球菌(Streptococcus pneumoniae,SP)的药物敏感性。方法回顾性分析2019年1月—2020年12月全国33家三级甲等医院160例<15岁的PM住院患儿... 详细信息

目的研究中国儿童肺炎链球菌脑膜炎(pneumococcal meningitis,PM)的临床特征、转归和分离菌株肺炎链球菌(Streptococcus pneumoniae,SP)的药物敏感性。方法回顾性分析2019年1月—2020年12月全国33家三级甲等医院160例<15岁的PM住院患儿的临床信息、实验室资料和微生物学资料。结果160例PM患儿中,男103例,女57例;年龄15 d至15岁,其中3月龄至<3岁109例(68.1%)。脑脊液培养分离SP菌株95例(59.4%),血培养分离SP菌株57例(35.6%)。脑脊液宏基因组二代测序和脑脊液SP抗原检测阳性率分别为40%(35/87)、27%(21/78)。55例(34.4%)患儿存在1个或多个化脓性脑膜炎高危因素;113例(70.6%)患儿有1个或多个颅外感染病灶;18例(11.3%)有明确基础疾病。临床症状以发热最常见(147例,91.9%),其次是精神萎靡(98例,61.3%)、呕吐(61例,38.1%)等。69例(43.1%)患儿住院期间发生颅内并发症,常见并发症为硬膜下积液和/或积脓(43例,26.9%)、脑积水(24例,15.0%)、脑脓肿(23例,14.4%)、脑出血(8例,5.0%)。硬膜下积液和/或积脓和脑积水主要发生在<1岁患儿,分别为91%(39/43)、83%(20/24)。SP菌株对万古霉素(100%,75/75)、利奈唑胺(100%,56/56)、厄他培南(100%,6/6)完全敏感;对左氧氟沙星(81%,22/27)、莫西沙星(82%,14/17)、利福平(96%,25/26)和氯霉素(91%,21/23)敏感率高;对青霉素(16%,11/68)、克林霉素(6%,1/17)敏感率低;对红霉素完全耐药(100%,31/31)。痊愈和好转出院率分别为22.5%(36/160)、66.2%(106/160);18例(11.3%)出现不良结局。结论儿童PM多见于3月龄至<3岁婴幼儿,颅内并发症多发生在<1岁患儿,发热是PM患儿最常见的临床表现,硬膜下积液和/或积脓、脑积水是最常见的并发症。脑脊液非培养检测方法有助于提高病原菌检出率。超过10%PM患儿出现不良结局。SP菌株对万古霉素、利奈唑胺、厄他培南、左氧氟沙星、莫西沙星、利福平、氯霉素敏感率高。

关键词：肺炎链球菌脑膜炎流行病学多中心研究儿童

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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2005年中国城市CO2排放数据集

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