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Determination of soluble solid content and acidity of loquats based on FT-NIR spectroscopy

Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2009年第2期10卷 120-125页

作者： xia-ping fu jian-ping li ying zhou yi-bin ying li-juan xie xiao-ying niu zhan-ke yan hai-yan yu College of Biosystem Engineering and Food Science Zhejiang University Hangzhou 310029 China

The near infrared （NIR） spectroscopy technique has been applied in many fields because of its advantages of simple preparation, fast response, and non-destructiveness. We investigated the potential of NIR spectroscopy in diffuse reflectance mode for determining the soluble solid content （SSC） and acidity （pH） of intact loquats. Two cultivars of loquats （Dahongpao and Jiajiaozhong） harvested from two orchards （Tangxi and Chun＇an, Zhejiang, China） were used for the measurement of NIR spectra between 800 and 2500 nm. A total of 400 loquats （100 samples of each cultivar from each orchard） were used in this study. Relationships between NIR spectra and SSC and acidity of loquats were evaluated using partial least square （PLS） method. Spectra preprocessing options included the first and second derivatives, multiple scatter correction （MSC）, and the standard normal variate （SNV）. Three separate spectral windows identified as full NIR （800-2500 nm）, short NIR （800-1100 rim）, and long NIR （1100-2500 nm） were studied in factorial combination with the preprocessing options. The models gave relatively good predictions of the SSC of loquats, with root mean square error of prediction （RMSEP） values of 1.21, 1.00, 0.965, and 1.16 °Brix for Tangxi-Dahongpao, Tangxi-Jiajiaozhong, Chun＇an-Dahongpao, and Chun＇an-Jiajiaozhong, respectively. The acidity prediction was not satisfactory, with the RMSEP of 0.382, 0.194, 0.388, and 0.361 for the above four loquats, respectively. The results indicate that NIR diffuse reflectance spectroscopy can be used to predict the SSC and acidity of loquat fruit.

关键词： Near infrared (NIR) spectroscopy Loquats Soluble solid content (SSC) Acidity Partial least square (PLS) Modeling Spectra preprocessing

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近红外光谱定量分析技术在枇杷可溶性固形物无损检测中的应用

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光谱学与光谱分析 2006年第9期26卷 1605-1609页

作者：李建平傅霞萍周莹应义斌谢丽娟牛晓颖闫战科于海燕浙江大学生物系统工程与食品科学学院浙江杭州310029

应用近红外漫反射光谱定量分析技术对两个产地三个品种枇杷的可溶性固形物进行无损检测试验研究。通过分析，发现在波长1400～1500nm和1900～2000nm两段范围，样品的可溶性固形物与光谱吸光度之间的相关系数较高；用偏最小二乘回归PLSR... 详细信息

应用近红外漫反射光谱定量分析技术对两个产地三个品种枇杷的可溶性固形物进行无损检测试验研究。通过分析，发现在波长1400～1500nm和1900～2000nm两段范围，样品的可溶性固形物与光谱吸光度之间的相关系数较高；用偏最小二乘回归PLSR、逐步多元线性回归SMLR和主成分回归PCR三种方法分别建立这两个波段和全波段范围的模型，全波段的PLSR模型的效果较优。研究发现一阶和二阶微分光谱建立的模型均不如原始光谱建立的模型效果好。最终建立三个品种枇杷样品的原始光谱在全波段范围经17点平滑后的PLSR模型，模型的校正集和预测集的相关系数分别为0．96和0．95。研究表明近红外光谱检测技术可用于枇杷可溶性固形物含量的定量分析。

关键词：近红外光谱学定量分析可溶性固形物枇杷

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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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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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Science Bulletin 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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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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严重创伤患者紧急救治血液保障模式与输血策略中国专家共识(2024版)

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中华创伤杂志 2024年第10期40卷 865-881页

作者：卢尧李阳张雷英唐昊敬慧丹王耀丽贾向志巴立卞茂红蔡丹蔡辉蔡晓红查占山陈秉宇陈大庆陈凤陈国安陈海鸣陈静陈敏陈青陈舒陈玺程金凤褚晓凌崔红旺崔欣达珍戴莹邓素容董伟群范为民冯珂付丹晖付涌水傅奇傅雪梅甘佳甘新宇高伟巩怀证桂嵘郭庚韩宁郝一文何武兵洪强侯瑞琴侯卫胡婕胡培阳胡熙胡晓玉黄光斌黄婕黄象艳黄远帅浑守永蒋学兵金平赖冬乐爱平黎红梅李碧娟李翠莹李代红李海宏李贺李辉李剑平李宁李喜莹李湘民李小飞李晓娟李志强李忠俊李尊严梁华钦梁晓华廖冬发廖群廖燕林甲进刘春霞刘凤华刘培贤刘铁梅刘小信刘志伟刘中砥陆华栾建凤骆建军骆群吕定丰吕琪吕先萍马爱军马立强马曙轩马现君马小刚马晓莉毛国庆穆士杰聂少林欧阳淑娟欧阳锡林潘春球潘健潘晓华彭磊彭涛钱宝华乔姝秦莉任颖任召祺戎瑞明苏常山孙明伟孙文武孙振威唐海平唐晓峰唐长玖陶翠华田志彬汪娟王宝燕王春燕王革非王海燕王鸿捷王鹏王鹏里王秋实王晓宁王新华王学锋王勇王勇军王远杰王志华韦少俊魏亚明文键波文军吴江吴巨峰夏爱军夏飞夏荣谢珏邢颜超熊雁徐峰徐永柱许永安晏永和燕备战杨江杨江存杨军杨新文杨勇毅姚春艳叶明亮尹昌林尹明尹文于连玲于淑红余泽波郁毅刚喻安永袁红袁燚张婵张进军张军张凯张磊冰张泉张荣江张三明张生吉张硕张伟张伟东张晰张兴文章桂喜章晓军赵国庆赵建鹏赵树铭郑蓓蓓郑山根周华友周吉成周砺宏周谋周小玉周雪莲周源周政周祖皇朱海燕朱培元朱长举祝丽丽王正国蒋建新汪德清兰炯采王全立于洋张连阳文爱清中华医学会临床输血学分会中华医学会创伤学分会创伤急救与多发伤学组中华医学会灾难医学分会青年学组陆军军医大学陆军特色医学中心重庆400042 陆军军医大学陆军特色医学中心创伤与化学中毒全国重点实验室重庆400042 中国人民解放军总医院第一医学中心北京100853 军事医学研究院卫生勤务与血液研究所北京100850 浙江大学医学院附属第二医院杭州310009 安徽医科大学第一附属医院合肥230022 湘潭市中心医院湘潭411100 中国医学科学院北京协和医学院输血研究所成都610052 上海交通大学医学院附属瑞金医院上海200025 海军军医大学第一附属医院上海200433 浙江省人民医院杭州310014 温州医科大学附属第二医院温州325027 内蒙古自治区人民医院呼和浩特010017 武汉市血液中心武汉430030 南昌大学第一附属医院南昌330006 河北医科大学第三医院石家庄050051 乌鲁木齐市血液中心乌鲁木齐830000 南京大学医学院附属鼓楼医院南京210008 浙江省血液中心杭州310052 重庆两江新区人民医院重庆401121 株洲市中心医院株洲412000 福建省疾病预防控制中心福州350012 海南医学院第一附属医院海口570102 贵州省血液中心贵阳550001 西藏自治区血液中心拉萨850000 中国人民解放军联勤保障部队第九二〇医院昆明650000 重庆医科大学附属永川医院重庆402160 昆明医科大学第一附属医院昆明650032 江西省血液中心南昌330052 宁夏医科大学总医院银川750001 福建医科大学附属协和医院福州350001 广州市第一人民医院广州510080 重庆市血液中心重庆400015 成都市血液中心成都610042 中国医学科学院北京协和医院北京100730 中国人民解放军西部战区总医院成都610083 华中科技大学同济医学院附属同济医院武汉430030 山东省血液中心济南250014 中南大学湘雅三医院长沙410013 山西医科大学第一医院太原030001 上海同济大学附属东方医院上海200120 中国医科大学附属第一医院沈阳110001 福建省立医院福州350001 厦门大学附属第一医院厦门361003 北京大学人民医院北京100044 青海省血液中心西宁810007 浙江省天台县人民医院天台317200 昆明市儿童医院昆明650228 安徽省血液中心合肥230031 重庆大学附属中心医院重庆市急救医疗中心重庆400014 湖南省人民医院(湖南师范大学附属第一医院) 长沙410001 中国人民解放军联勤保障部队第九六〇医院济南250031 西南医科大学附属医院泸州646000 山东第一医科大学附属省立医院济南250021 中国人民解放军总医院第六医学中心北京100048 余姚市人民医院余姚315400 厦门医学院附属第二医院厦门361005 重庆市垫江县人民医院重庆408300 中南大学湘雅医院长沙410008 空军军医大学空军特色医学中心北京100142 天津市第一中心医院天津300192 山西省中西医结合医院太原030013 安徽医科大学第二附属医院合肥230601 辽宁省血液中心沈阳110044 中国医学科学院肿瘤医院北京100021 首都医科大学附属北京友谊医院北京100050 兰州大学第二医院兰州730030 上海市第六人民医院上海201599 陆军军医大学第二附属医院重庆400037 北华大学附属医院吉林132000 广州血液中心广州510095 大连市血液中心大连116001 广西医科大学第三附属医院南宁530007 兰州大学第一医院兰州730030 哈尔滨医科大学附属第一医院哈尔滨150010 山西医科大学第二医院太原030000 吉林大学中日联谊医院长春130062 山东第一医科大学第一附属医院(山东省千佛山医院) 济南250013 浙江大学医学院附属邵逸夫医院杭州310016 重庆医科大学附属第二医院重庆400010 中国人民解放军东部战区总医院南京210002 中国人民解放军联勤保障部队第九〇三医院杭州310013 中国人民解放军总医院第五医学中心北京100071 宁波大学附属第一医院宁波315010 天津大学应急医学研究院天津300072 郑州大学第一附属医院郑州450052 河北省血液中心石家庄050004 中国人民解放军联勤保障部队第九〇〇医院福州350025 首都医科大学附属北京儿童医院北京100045 山东大学齐鲁医院济南250012 西藏自治区人民医院拉萨850000 河南省红十字血液中心郑州450012 荆州市中心血站荆州434099 空军军医大学第二附属医院西安710038 株洲市中心血站株洲412007 湖南省肿瘤医院/中南大学湘雅医

严重创伤患者对救治时效性要求极高,输血在此类患者的紧急救治阶段发挥着不可替代的作用。越来越多的循证医学证据和临床经验表明,早期输注低效价O型全血或平衡比例红细胞、血浆和血小板等成分血的止血复苏策略将使严重创伤大出血患者... 详细信息

严重创伤患者对救治时效性要求极高,输血在此类患者的紧急救治阶段发挥着不可替代的作用。越来越多的循证医学证据和临床经验表明,早期输注低效价O型全血或平衡比例红细胞、血浆和血小板等成分血的止血复苏策略将使严重创伤大出血患者获益。然而,当前国内血液保障模式不能完全满足临床对严重创伤患者紧急救治输血的时效性和有效性需求。针对我国严重创伤紧急救治血液保障模式与输血策略中存在的关键问题,中华医学会临床输血学分会、中华医学会创伤学分会创伤急救与多发伤学组和中华医学会灾难医学分会青年学组组织国内输血医学和创伤救治专家,基于循证医学证据并结合Delphi法专家咨询投票,共同制订《严重创伤患者紧急救治血液保障模式与输血策略中国专家共识(2024版)》,从血液保障模式和输血策略两个方面共提出10条推荐意见,为严重创伤紧急救治阶段的输血复苏提供参考,以期进一步提高严重创伤患者的救治成功率。

关键词：创伤和损伤急救输血专家共识

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