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Chronic inflammation and achilles tendinopathy

中华物理医学与康复杂志 2018年第3期40卷 173-173页

作者： Dakin SG Newton J Martinez FO ndorms Botnar Research Centre University of Oxford Nuffield Orthopaedic Centre Oxford UK. Faculty of Health and Medical Sciences University of Surrey Guildford UK.

BACKGROUND:Recent investigation of human tissue and cells from positional tendons such as the rotator cuff has clarified the importance of inflammation in the development and progression of tendon disease. These mechanisms remain poorly understood in disease of energy-storing tendons such as the Achilles. Using tissue biopsies from patients, we investigated if inflammation is a feature of Achilles tendinopathy and rupture.;METHODS:We studied Achilles tendon biopsies from symptomatic patients with either mid-portion tendinopathy or rupture for evidence of abnormal inflammatory signatures. Tendon-derived stromal cells from healthy hamstring and diseased Achilles were cultured to determine the effects of cytokine treatment on expression of inflammatory markers.;RESULTS:Tendinopathic and ruptured Achilles highly expressed CD14+ and CD68+ cells and showed a complex inflammation signature, involving NF-κB, interferon and STAT-6 activation pathways. Interferon markers IRF1 and IRF5 were highly expressed in tendinopathic samples. Achilles ruptures showed increased and expression. Tendinopathic and ruptured Achilles tissues expressed stromal fibroblast activation markers podoplanin and CD106. Tendon cells isolated from diseased Achilles showed increased expression of pro-inflammatory and stromal fibroblast activation markers after cytokine stimulation compared with healthy hamstring tendon cells.;CONCLUSIONS:Tissue and cells derived from tendinopathic and ruptured Achilles tendons show evidence of chronic (non-resolving) inflammation. The energy-storing Achilles shares common cellular and molecular inflammatory mechanisms with functionally distinct rotator cuff positional tendons. Differences seen in the profile of ruptured Achilles are likely to be attributable to a superimposed phase of acute inflammation and neo-vascularisation. Strategies that target chronic inflammation are of potential therapeutic benefit for patients with Achilles tendon disease.

关键词：免疫力跟腱疾病患者治疗方法

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Urban-Rural Disparity in Mortality Patterns of Respiratory Diseases Among Older Adults—China,1987-2021

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China CDC weekly 2023年第50期5卷 1125-1130页

作者： Panliang Zhong Yihao Zhao Yi Cao Chen Chen Junqing Xie Chun Chang School of Population Medicine and Public Health Chinese Academy of Medical Sciences/Peking Union Medical CollegeBeijingChina Department of Chronic Diseases School of Population Medicine and Public HealthChinese Academy of Medical Sciences/Peking Union Medical CollegeBeijingChina Center for Statistics in Medicine NDORMSUniversity of OxfordOxfordUK Department of Respiratory and Critical Care Medicine Peking University Third HospitalBeijingChina

What is already known about this topic?Respiratory diseases(RDs)are the primary cause of death in older adults in ***,there is limited evidence regarding the disparity in mortality rates of RDs between urban and rural areas among the elderly *** is added by this report?The age-standardized mortality rate(ASMR)due to RDs in the elderly population in both urban and rural areas of China has shown a consistent *** trend is observed in both males and ***,there was no significant change in the average annual percentage of ASMR for pneumonia among the urban elderly population and rural elderly men throughout the study *** are the implications for public health practice?Efforts should be made in China to reduce mortality from chronic lower respiratory disease and pneumonia among the elderly,particularly in urban populations.

关键词： mortality diseases death

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儿童青少年新型冠状病毒感染流行病学研究进展

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中国学校卫生 2024年第1期45卷 142-147页

作者：秦阳董彦会谢俊卿苏彬彬宋逸马军北京大学公共卫生学院/北京大学儿童青少年卫生研究所北京100191 Centre for Statistics in Medicine NDORMSUniversity of Oxford 北京协和医学院群医学及公共卫生学院

新型冠状病毒感染(COVID-19,以下简称“新冠”)大流行带来了一系列复杂的挑战,COVID-19在儿童青少年身上的病情通常不及成年人和老年人严重;但在轻度或无症状的新冠之后,一些儿童青少年也可能出现一系列严重并发症和不良健康影响。文章... 详细信息

新型冠状病毒感染(COVID-19,以下简称“新冠”)大流行带来了一系列复杂的挑战,COVID-19在儿童青少年身上的病情通常不及成年人和老年人严重;但在轻度或无症状的新冠之后,一些儿童青少年也可能出现一系列严重并发症和不良健康影响。文章重点梳理儿童青少年新冠感染流行特征、健康影响、风险因素、防控措施和疫苗接种现状等,以期为后续儿童青少年新冠疫情防控提供参考。

关键词：冠状病毒属感染流行病学研究儿童青少年

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针对患者利益的机器学习和人工智能研究:在透明性、可重复性、伦理和有效性等方面的20个关键问题

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英国医学杂志中文版 2020年第9期23卷 522-533页

作者： Sebastian Vollmer Bilal A Mateen Gergo Bohner Franz J Kirdly Rayid Ghani Pall Jonsson Sarah Cumbers Adrian Jonas Katherine S L McAllister Puja Myles David Granger Mark Birse Richard Branson Karel G M Moons Gary S Collins John P A Chris Holmes Harry Hemingwayp 李峰(译) 徐磊(校) 赵邑(校) Alan Turing Institute Kings CrossLondonUK Departments of Mathematics and Statistics University of WarwickCoventryUK Warwick Medical School University of WarwickCoventryUK Kings College Hospital Denmark HillLondonUK Department of Statistical Science University College LondonLondonUK University of Chicago ChicagoILUSA Science Policy and Research National Institute for Health and Care ExcellenceManchesterUK Health and Social Care Directorate National Institute for Health and Care ExcellenceLondonUK Data and Analytics Group National Institute for Health and Care ExcellenceLondonUK Clinical Practice Research Datalink Medicines and Healthcare products Regulatory AgencyLondonUK Medicines and Healthcare products Regulatory Agency LondonUK Julius Centre for Health Sciences and Primary Care UMC UtrechtUtrecht UniversityUtrechtNetherlands UK EQUATOR Centre Centre for Statistics in MedicineNDORMSUniversity of OxfordOxfordUK Meta-Research Innovation Centre at Stanford Stanford UniversityStanfordCAUSA Department of Statistics University of OxfordOxford 0X13LBUK Health Data Research UK London University College LondonLondon.UK Institute of Health Informatics University College LondonLondonUK National Institute for Health Research University College London Hospitals Biomedical Research CentreUniversity College LondonLondonUK 深圳智影医疗公司首都医科大学附属北京安贞医院清华大学附属北京清华长庚医院皮肤科

机器学习(ML)、人工智能(AI)和其他现代统计方法正为利用先前尚未开发且极速增长的数据资源提供新的机会,以期让患者获益。尽管目前正在进行许多有前景的研究,特别是在图像方面,但就文献整体而言还缺乏透明度、对可重复性清晰的阐述、... 详细信息

机器学习(ML)、人工智能(AI)和其他现代统计方法正为利用先前尚未开发且极速增长的数据资源提供新的机会,以期让患者获益。尽管目前正在进行许多有前景的研究,特别是在图像方面,但就文献整体而言还缺乏透明度、对可重复性清晰的阐述、对潜在伦理问题的探究,以及对有效性的明确验证。这些问题的存在有许多原因,其中最重要的一点(为此我们提供了初步解决方案)就是当前缺乏针对ML和AI的最佳实践指南。我们认为从事研究的跨学科团队和应用ML/AI影响健康的项目,将因解决有关透明度、可重复性、伦理和有效性(TREE)的一系列问题而受益。这里提出的20个关键问题为研究团队提供了一个研究设计、实施和报告框架;帮助编辑和同行评审专家评估文献的贡献;让患者、临床医生和政策制定者评估新发现可能会给患者带来的获益。

关键词：人工智能研究机器学习同行评审数据资源缺乏透明度可重复性透明性跨学科团队

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