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Gut microbiota and diabetes: From correlation to causality and mechanism

World Journal of Diabetes 2020年第7期11卷 293-308页

作者： Wei-Zheng Li Kyle Stirling Jun-Jie Yang Lei Zhang Microbiome-X Beijing Advanced Innovation Center for Big Data-Based Precision MedicineSchool of Medicine and EngineeringKey Laboratory of Big Data-Based Precision MedicineBeihang UniversityBeijing 100191China School of Biological Science and Medical Engineering Beihang UniversityBeijing 100191China Luddy School of informatics Computing and EngineeringIndiana UniversityBloomingtonIN 47408United States The Crisis Technologies Innovation Lab Indiana UniversityThe Information Technology Services and the Pervasive Technology InstituteBloomingtonIN 47408United States Shandong Institute of Industrial Technology for Health Sciences and Precision Medicine Jinan 250000Shandong ProvinceChina College of Life Science Qilu Normal UniversityJinan 250000Shandong ProvinceChina Microbiome Research Center Shandong Institutes for Food and Drug ControlJinan 250000Shandong ProvinceChina Shandong Children’s Microbiome Center Qilu Children's Hospital of Shandong UniversityJinan 250000Shandong ProvinceChina Microbiological Laboratory Lin Yi People’s HospitalLinyi 276000Shandong ProvinceChina Qingdao Human Microbiome Center The Affiliated Central Hospital of Qingdao UniversityQingdao 266000Shandong ProvinceChina Institute for Medical Dataology Cheeloo College of MedicineShandong UniversityJinan 250000Shandong ProvinceChina Department of Biostatistics School of Public HealthCheeloo College of MedicineShandong UniversityJinan 250000Shandong ProvinceChina Shandong Children’s Microbiome Center Research Institute of PediatricsQilu Children's HospitalCheeloo College of MedicineShandong Universityand Jinan Children's HospitalJinan 250022Shandong ProvinceChina

In this review,we summarize the recent microbiome studies related to diabetes disease and discuss the key findings that show the early emerging potential causal roles for *** a global scale,diabetes causes a significant negative impact to the health status of human *** review covers type 1 diabetes and type 2 *** examine promising studies which lead to a better understanding of the potential mechanism of microbiota in diabetes *** appears that the human oral and gut microbiota are deeply interdigitated with *** is that *** studies of the human microbiome are capturing the attention of scientists and healthcare practitioners worldwide by focusing on the interplay of gut microbiome and *** studies focus on the role and the potential impact of intestinal microflora in *** paint a clear picture of how strongly microbes are linked and associated,both positively and negatively,with the fundamental and essential parts of diabetes in *** microflora seems to have an endless capacity to impact and transform *** conclude that there is clear and growing evidence of a close relationship between the microbiota and diabetes and this is worthy of future investments and research efforts.

关键词： Diabetes Microbiota Causality Mechanism Type 1 diabetes Type 2 diabetes Insulin resistance Inflammation Metabolites

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Profile of Aggressive and Chronic Periodontitis in Kinshasa Dental Hospitals, DR Congo

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Open Journal of Stomatology 2017年第10期7卷 439-447页

作者： Em Kalala Kazadi Steve Sekele Masin Nyimi Bushabu Fidele Isourady Bourley Jean Paul Sekele Jacques Bolenge Augustin Mantshumba Ingaya Ediz Ekofo Mulumba Hubert Ntumba Unit of Oral Periodontics Surgery Stomatology Service Affiliated Hospital of Kinshasa University Kinshasa DR Congo informatics and Mathematics Department Faculty of Sciences Kinshasa University Kinshasa DR Congo Oral and Maxillofacial Surgery Affiliated Hospital of Kinshasa University Kinshasa DR Congo Oral and Maxillofacial Surgery School of Stomatology Wuhan University Wuhan China Prosthodontics and Orthodontics Service Affiliated Hospital of Kinshasa University Kinshasa DR Congo

Periodontitis is a prevalent destructive gum disease, characterized by loss of tissues supporting the teeth. The two main forms, chronic and aggressive have not been assessed in Kinshasa, DR Congo. Aim: The aim of this study was to investigate the Prevalence and the pattern of chronic periodontitis (CP) and aggressive periodontitis (AP) in order to improve its management. Materials and Methods: A cross sectional study of 404 subjects attending the dental services of the four hospitals of Kinshasa city, from October 2013 to April 2014 was carried out. The plaque index (PlI), bleeding on probing (BOP), probing pocket depth (PPD) and frequency of tooth brushing (FTB) were the parameters assessed. The SPSS software version 20.0 was used. Results: Out of 404 patients examined, 322 (79.7%) had chronic periodontitis versus to 44 (10.9%) of aggressive periodontitis. The female was higher than males with a sex ratio of 1.49:1 and the age group between 20 and 29 was the most represented. PPP of ≥6 mm was found in 24.6%, 5 or 5.5 mm in 27.3% and PPP of 3.5 to 4.5 mm in 48.1% of patients with periodontitis. Significant difference was found between CP and AP according to age variable, p-value services in Kinshasa and affect male as well as female. Age remains an essential variable to distinguish between CP and AP.

关键词： Prevalence Profile Aggressive Periodontitis Chronic Periodontitis Probing Pocket Depth

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RadonPy:automated physical property calculation using all-atom classical molecular dynamics simulations for polymer informatics

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npj Computational Materials 2022年第1期8卷 2155-2169页

作者： Yoshihiro Hayashi Junichiro Shiomi Junko Morikawa Ryo Yoshida The Institute of Statistical Mathematics(ISM) Research Organization of Information and Systems10-3 Midori-choTachikawaTokyo190-8562Japan Department of Mechanical Engineering The University of Tokyo7-3-1 HongoBunkyoTokyo113-8656Japan Institute of Engineering Innovation The University of Tokyo2-11 YayoiBunkyo-kuTokyo113-0032Japan Department of Materials Science and Engineering School of Materials and Chemical TechnologyTokyo Institute of Technology2-12-1 OokayamaMeguro-kuTokyo152-8552Japan Research and services Division of Materials Data and Integrated System(MaDIS) National Institute for Materials Science(NIMS)1-2-1 SengenTsukubaIbaraki305-0047Japan Department of Statistical Science School of Multidisciplinary ScienceThe Graduate University of Advanced Studies(SOKENDAI)10-3 Midori-choTachikawaTokyo190-8562Japan

The spread of data-driven materials research has increased the need for systematically designed materials property ***,the development of polymer databases has lagged far behind other material *** present RadonPy,an open-source library that can automate the complete process of all-atom classical molecular dynamics(MD)simulations applicable to a wide variety of polymeric ***,15 different properties were calculated for more than 1000 amorphous *** MD-calculated properties were systematically compared with experimental data to validate the calculation conditions;the bias and variance in the MD-calculated properties were successfully calibrated by a machine learning *** the high-throughput data production,we identified eight amorphous polymers with extremely high thermal conductivity(>0.4 W∙m^(–1)∙K^(–1))and their underlying *** to the advancement of materials informatics since the advent of computational property databases for inorganic crystals,database construction using RadonPy will promote the development of polymer informatics.

关键词： property calculation dynamics

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Trends and characteristics in pre-hospital emergency care in Beijing from 2008 to 2017

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Chinese Medical Journal 2020年第11期133卷 1268-1275页

作者： Wei Huang Tian-Bing Wang Ying-Dong He Huan Zhang Xiao-Hua Zhou Hui Liu Jin-Jun Zhang Zhen-Biao Tian Bao-Guo Jiang Departm ent of Trauma Rescue Center Peking University People's HospitalBeijing 100044China Department of Trauma and Orthopaedics Peking University People's HospitalBeijing 100044China Key Laboratory of Trauma and Neural Regeneration(Peking University) Ministry of EducationBeijing 100044China Department of Epidemiology and Biostatistics School of Public HealthPeking University Health Science CenterBeijingChina Medical informatics Center Peking UniversityBeijing 100191China Beijing Emergency Center Beijing 100031China Beijing Red Cross Emergency Center Beijing 100085China

Background: We aimed to describe and analyze the pre-hospital emergency medical service (EMS) in Beijing and provide information for the government and medical institutions to optimize ***: We collected all pre-hospital emergency data in Beijing from 2008 to 2017. The chief complaint in each case was classified according to the Medical Priority Dispatch System (MPDS). The sites’ administrative districts were determined through geo-encoding of addresses and then classified into four functional regions. We analyzed the demand for EMS, emergency response times (ERT), and disease spectrum for Beijing as a whole, and for each functional ***: A total of 4,192,870 pre-hospital EMS cases met the inclusion criteria, with a significant increase (P < 0.001) of 51.60% from 2008 to 2017. EMS demand was positively associated with population (r= 0.946,P < 0.001). The pre-hospital EMS demand rate was 1907.05 in 2008 and 2172.23 in 2017 per 100,000, with no significant change (P = 0.57). ERT increased significantly (P = 0.001), from 19.18 min in 2008 to 24.51 min in 2016. According to MPDS classifications, the demand for pre-hospital care increased for 14 diseases, remained stable for 19, and decreased for only 1 disease. Cases of injury-related disease increased significantly from approximately 90,000 in 2017, accounting for 20% of all pre-hospital EMS cases, and the demand rate decreased in the core region but increased in the sub-urban regions. Cases of heart problems and stroke/transient ischemic attack also increased significantly in the four functional regions, with the highest demand rate in the Core Functional ***: More resources and effort should be devoted to pre-hospital EMS according to the increased pre-hospital EMS demand and prolonged ERT in Beijing over our 10-year study period. Changes in disease spectrum and differences between functional regions should also be considered.

关键词： China Emergency medical services Emergency response time

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Efficient Watermarking Scheme for Traitor Tracing Encryption Schemes

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Journal of Electrical Engineering 2018年第5期6卷 245-255页

作者： Kazuto Ogawa Go Ohtake Science&Technology Research Laboratories Japan Broadcasting CorporationTokyo 157-8510Japan

In the content distribution services,traitor tracing encryption schemes are useful tools to trace illegal users that distribute content illegally to unauthorized ***,solo use of these schemes does not necessarily work well and has *** complement the property of the traitor tracing schemes,it is effective to use watermarking scheme with them and the watermarking schemes with light load are required.A number of video watermarking methods with light load have been proposed that embed information into compressed video *** the compression scheme is MPEG2-Video,its codes are mostly pre-defined using coding tables,and therefore,information can be embedded in the compressed stream by substituting some of the *** the other hand,HEVC/H.265 uses arithmetic coding(CABAC)and it is not easy to substitute one code for another in a *** deal with this problem,a watermarking scheme for HEVC/H.265 video streams is *** embeds information while the video is being encoded.A broadcasting system incorporating the scheme is also proposed.

关键词： Traitor tracing encryption scheme watermarking video compression HEVC/H.265 arithmetic coding probability table

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Taking the pulse of COVID-19:a spatiotemporal perspective

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International Journal of Digital Earth 2020年第10期13卷 1186-1211页

作者： Chaowei Yang Dexuan Sha Qian Liu Yun Li Hai Lan Weihe Wendy Guan Tao Hu Zhenlong Li Zhiran Zhang John Hoot Thompson Zifu Wang David Wong Shiyang Ruan Manzhu Yu Douglas Richardson Luyao Zhang Ruizhi Hou You Zhoua Cheng Zhong Yifei Tian Fayez Beaini Kyla Carte Colin Flynn Wei Liu Dieter Pfoser Shuming Bao Mei Li Haoyuan Zhang Chunbo Liu Jie Jiang Shihong Du Liang Zhao Mingyue Lu Lin Li Huan Zhou Andrew Ding NSF Spatiotemporal Innovation Center George Mason Univ.FairfaxVAUSA Department of Geography and GeoInformation Science George Mason Univ.FairfaxVAUSA Department of Geographical Sciences University of MarylandCollege ParkMDUSA Center for Geographic Analysis Harvard UniversityCambridgeMAUSA Geoinformation and Big Data Research Lab Department of GeographyUniversity of South CarolinaColumbiaSCUSA Chinese Academy of Surveying and Mapping BeijingPeople’s Republic of China School of Resource and Environmental Sciences Wuhan UniversityWuhanPeople’s Republic of China Cloud Computeand Storage OperationsInformation Technology ServicesGeorge Mason UniversityFairfaxVAUSA Department of Geography Pennsylvania State UniversityState CollegePAUSA School of Business Management East China Normal UniversityShanghaiPeople’s Republic of China School of Mathematical Sciences East China Normal UniversityShanghaiPeople’s Republic of China Department of Psychology George Mason UniversityFairfaxVAUSA mDepartment of Computer Science George Mason UniversityFairfaxVAUSA Department of Information Technology George Mason UniversityFairfaxVAUSA Department of Biology George Mason UniversityFairfaxVAUSA College of Land Science and Technology China Agricultural UniversityBeijingPeople’s Republic of China China Data Institute Ann ArborMIUSA Institute of Remote Sensing and GIS Peking UniversityBeijingPeople’s Republic of China Aerospace Information Research Institute Chinese Academy of SciencesBeijingPeople’s Republic of China School of Geomatics and Urban Spatial informatics Beijing University of Civil Engineering and ArchitectureBeijingPeople’s Republic of China School of Geographical Sciences Nanjing University of Information Science&TechnologyNanjingPeople’s Republic of China School of Geodesy and Geomatics Wuhan UniversityWuhanPeople’s Republic of China wFaculty of Environment University of WaterlooWaterlooCanada

The sudden outbreak of the Coronavirus disease(COVID-19)swept across the world in early 2020,triggering the lockdowns of several billion people across many countries,including China,Spain,India,the U.K.,Italy,France,Germany,Brazil,Russia,and the *** transmission of the virus accelerated rapidly with the most confirmed cases in the U.S.,India,Russia,and *** response to this national and global emergency,the NSF Spatiotemporal Innovation Center brought together a taskforce of international researchers and assembled implementation strategies to rapidly respond to this crisis,for supporting research,saving lives,and protecting the health of global *** perspective paper presents our collective view on the global health emergency and our effort in collecting,analyzing,and sharing relevant data on global policy and government responses,human mobility,environmental impact,socioeconomical impact;in developing research capabilities and mitigation measures with global scientists,promoting collaborative research on outbreak dynamics,and reflecting on the dynamic responses from human societies.

关键词： Big Data Earth system emergency geospatial sciences epidemics applications

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创建软件定义网络中的进程级纵深防御体系结构

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软件学报 2014年第10期25卷 2251-2265页

作者：崔竞松郭迟陈龙张雅娜 Dijiang HUANG 武汉大学计算机学院湖北武汉430072 软件工程国家重点实验室(武汉大学) 湖北武汉430072 武汉大学卫星定位导航技术研究中心湖北武汉430079 中山大学(珠海校区)移动信息工程学院广东珠海519000 School of Computing informatics and Decision Systems Engineering Arizona State University AZ USA

云计算因其资源的弹性和可拓展性,在为用户提供各项服务时,相对于传统方式占据了先机.在用户考虑是否转向云计算时,一个极其重要的安全风险是:攻击者可以通过共享的云资源对云用户发起针对虚拟机的高效攻击.虚拟机作为云服务的基本资源... 详细信息

云计算因其资源的弹性和可拓展性,在为用户提供各项服务时,相对于传统方式占据了先机.在用户考虑是否转向云计算时,一个极其重要的安全风险是:攻击者可以通过共享的云资源对云用户发起针对虚拟机的高效攻击.虚拟机作为云服务的基本资源,攻击者在攻击或者租用了某虚拟机之后,通过在其中部署恶意软件,并针对云内其他虚拟机发起更大范围的攻击行为,如分布式拒绝服务型攻击.为防止此种情况的发生,提出基于软件定义网络的纵深防御系统,以及时检测可疑虚拟机并控制其发出的流量,抑制来自该虚拟机的攻击行为并减轻因攻击所受到的影响.该系统以完全无代理的非侵入方式检测虚拟机状态,且基于软件定义网络,对同主机内虚拟机间或云主机间的网络流量进行进程级的监控.实验结果表明了该系统的有效性.

关键词：无代理技术内网防火墙虚拟机纵深防御网络虚拟化软件定义网络

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Recent Advances in Imaging of Light Propagation with Light-in-Flight Recording by Holography

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Ultrafast Science 2023年第6期3卷 47-67页

作者： Tomoyoshi Inoue Takashi Kakue Kenzo Nishio Toshihiro Kubota Osamu Matoba Yasuhiro Awatsuji Graduate School of Science and Technology Kyoto Institute of TechnologyMatsugasaki GoshokaidochoSakyo-kuKyoto 606-8585Japan Japan Society for the Promotion of Science Kojimachi Business Center Building5-3-1 KojimachiChiyoda-kuTokyo 102-0083Japan Graduate School of Engineering Chiba University1-33Yayoi-choInage-kuChiba 263-8522Japan Advanced Technology Center Kyoto Institute of TechnologyMatsugasakiSakyo-kuKyoto 606-8585Japan Kubota Holography Laboratory corporation Nishihata 34-1-609Ogura-choUjKyoto 611-0042Japan Graduate School of System informatics Department of Systems ScienceKobe UniversityRokkodai 1-1NadaKobe 657-8501Japan Center of Optical Scattering Image Science Kobe UniversityRokkodai 1-1NadaKobe 657-8501Japan Faculty of Electrical Engineering and Electronics Kyoto Institute of TechnologyMatsugasaki Goshokaido-choSakyo-kuKyoto 606-8585Japan

In the last few decades,there have been several advances in ultrafast imaging of light propagation with light-in-flight recording by holography(LIF holography),which can capture light propagation as a motion picture with a single shot in ***,we review the recent advances in LIF holography by considering the perspectives of various development of functional imaging techniques and evaluation of LIF holography with numerical simulation *** methods for recording multiple motion pictures such as a space-division multiplexing,a pixel-by-pixel-based space-division multiplexing,and an angular multiplexing technique are added extend the capability of LIF *** numerical simulation models used for investigating the image characteristics of LIF hologram are ***,a summary and conclusion of recent advances in LIF holography is presented.

关键词： recording Holography principle.

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Tuberculosis Treatment Completion for Tribal Patients in Kerala: Needs Constant Push!

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Journal of Tuberculosis Research 2019年第4期7卷 185-201页

作者： Jyothilakshmi Chettipparan Rajan Tanu Anand Sharath Burugina Nagaraja Sabu Kochupurackal Ulahannan Karuna Sagili Manu Muraleedharan Sarojini Wayanad Social Service Society Wayanad Kerala India Department of Community Medicine North Delhi Municipal Corporation Medical College Hindu Rao Hospital Delhi India Department of Community Medicine ESIC Medical College and PGIMSR Bengaluru India Institute of Public Health Bengaluru India Department of TB and communicable diseases The Union New Delhi India State TB Demonstration and Training Centre Trivandrum India

Introduction: Tuberculosis (TB) incidence among tribal patients is high owing to their social and geographic vulnerability. Ensuring adherence to TB treatment among them remains a challenging task as it is dependent on socio-cultural and environmental factors. Objective: 1) To know the individuals’ perception of TB disease and anti-TB treatment;2) To explore the personal, social, family and cultural factors influencing on patient’s treatment adherence;3) To identify the challenges faced by health care providers in delivering services to the tribal population. Material and Methods: A descriptive qualitative study conducted among tribal patients (n = 16) and health providers (n = 6) of Manathavady TB unit, Wayanad District of Kerala. The data were collected through in-depth interviews (IDIs), audio-recorded in Malayalam, transcribed verbatim and translated into English. Transcripts were analysed using manual descriptive content analysis. Results: Most of the patients were oriented about the importance of completing TB treatment though lacked awareness about its causation. The supportive attitude of the community further encouraged them to continue TB treatment. However, substance abuse emerged as the biggest challenge to treatment adherence particularly among males. While accessibility to the health system, animal confrontation, and disaster risk emerged as barriers owing to the geographic landscape of the community, health services were found to be acceptable, available and affordable to all the patients. No stigma or discrimination was perceived by the patients at family, community and health system level. However, their beliefs in herbal medicines and conduct of certain rituals delayed them for seeking care. The personal commitment of the health care staff helped the TB patients to adhere better with the treatment thereby yielding best results. Conclusion: The TB treatment adherence among the tribal population was satisfactory due to personal, social and health sys

关键词： Treatment Adherence Kerala Qualitative Operational Research

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BMC Medicine论文摘要汇编——风险预测模型评估的不确定性对治疗决策影响的队列研究：以英国基层医疗机构心血管病患者为例

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中国全科医学 2019年第29期22卷 3638-3638页

作者：本刊编辑部(整理) PATE A EMSLEY R ASHCROFT D M Centre of Health eResearch School of Health Sciences Faculty of Biology Medicine and Health The University of Manchester Manchester UK Department of Biostatistics and Health informatics Institute of Psychiatry Psychology and Neuroscience King’s College London London UK NIHR Greater Manchester Patient Safety Translational Research Centre School of Health Sciences Faculty of Biology Medicine and Health The University of Manchester Manchester UK NIHR School for Primary Care Research Centre for Primary Care Division of Population of Health Health Services Research and Primary Care Manchester Academic Health Science Centre University of Manchester Manchester UK Public Health England North West Manchester UK Division of Pharmacoepidemiology and Clinical Pharmacology Utrecht Institute of Pharmaceutical Sciences Utrecht University Utrecht Netherlands

背景风险预测模型通常在临床中用于辅助决策。但是,目前很少有研究对于风险预测模型评估超出可信区间(CI)的风险评分的不确定性进行探讨。本文旨在对采用基于QRISK预测工具建立的不同风险预测模型评估的患者发病风险的不确定性进行分析... 详细信息

背景风险预测模型通常在临床中用于辅助决策。但是,目前很少有研究对于风险预测模型评估超出可信区间(CI)的风险评分的不确定性进行探讨。本文旨在对采用基于QRISK预测工具建立的不同风险预测模型评估的患者发病风险的不确定性进行分析。方法从英国临床研究数据库选取3 792 474例具有住院治疗数据及死亡记录、符合研究要求并可以进行心血管病(CVD)风险评估的患者。采用建立QRISK 2和QRISK 3模型的方法建立风险预测模型(模型A^F),然后校正可能导致各模型预测能力差异的因素以及填补缺失数据后再进行预测。比较各模型的十年风险评分以及一般性能。结果不同模型评估患者CVD风险结果有显著差异。模型A评估男性CVD风险95%CI为(4.4%,16.3%)、女性为(4.6%,15.8%),模型F评估患者CVD风险95%CI为(9%,10%)。一般性能指标评价各模型预测能力相似(Harrell’s C=0.86~0.87)。造成各模型风险预测能力差异最大的因素为CVD发病长期趋势,校正此因素后,女性发病风险预测HR差异可降低0.96(0.95,0.96),男性可降低0.96(0.96,0.96)。当使用模型对英国人群进行风险评估时,有380万人可能被重新归类到符合使用他汀类药物的患者人群。本研究的一个重要局限性是没有纳入CPRD数据库中缺失的可能因素,如饮食或体育活动等。结论基于日常资料对患者CVD发病风险的预测结果因模型而异。尽管各模型预测结果可存在很大的差异,但普通性能指标评价各模型的预测能力相似。在做临床决策时,还应考虑临床评估结果和其他风险因素。对CVD发病长期趋势因素,应做进一步研究。

关键词：心血管病患者预测模型发病风险住院治疗基层医疗机构英国队列研究论文摘要

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