哮喘诊断工具未来研究的前景：全欧洲哮喘研究创新协作组共识 (EARIP)
2018/01/15
摘要
支气管哮喘通过临床病史、体格检查和肺功能进行诊断，但至今仍缺乏精确的客观检查手段明确或区分不同哮喘类型。此共识综述现有哮喘诊断方法，并参考其研发可能性、潜在适应性以及患者接受度进行综合考虑。应用二阶e-Delphi方法以及以小结工作室，包括医生、科学家、哮喘患者以及生产商代表在内的专家就每项技术和监测手段的影响进行评级。在系统性文献综述中，节选21篇声明进行二阶e-Delphi方法计算。11份声明记作≥3分，并在工作室内进行深入讨论和共同分级。最重要的前三位诊断/预测工具排名为：哮喘新生物学标记物(例如，基因组学、蛋白组学和代谢组学）用于诊断和/或治疗；学龄前儿童未来哮喘精准预测；以及呼出气可挥发有机成分（VOCs）测量工具。
Priorities for future research into asthma diagnostic tools: A PAN-EU Consensus exercise from the European asthma research innovation partnership (EARIP).
Clin Exp Allergy. 2017 Dec 31. doi: 10.1111/cea.13080. [Epub ahead of print]
Garcia-Marcos L, Edwards J, Kennington E, et al. EARIP collaboration.
Abstract
The diagnosis of asthma is currently based on clinical history, physical examination and lung function; and to date there are no accurate objective tests either to confirm the diagnosis or to discriminate between different types of asthma. This consensus exercise reviews the state-of-the-art in asthma diagnosis to identify opportunities for future investment based on the likelihood of their successful development, potential for widespread adoption and their perceived impact on asthma patients. Using a two-stage e-Delphi process and a summarising workshop, a group of European asthma experts including health professionals, researchers, people with asthma and industry representatives ranked the potential impact of research investment in each technique or tool for asthma diagnosis and monitoring. After a systematic review of the literature, 21 statements were extracted and were subject of the two-stage Delphi process. Eleven statements were scored 3 or more and were further discussed and ranked in a face to face workshop. The three most important diagnostic/predictive tools ranked were: "New biological markers of asthma (e.g. genomics, proteomics and metabolomics) as a tool for diagnosis and/or monitoring", "Prediction of future asthma in preschool children with reasonable accuracy" and "Tools to measure volatile organic compounds (VOCs) in exhaled breath".
支气管哮喘通过临床病史、体格检查和肺功能进行诊断，但至今仍缺乏精确的客观检查手段明确或区分不同哮喘类型。此共识综述现有哮喘诊断方法，并参考其研发可能性、潜在适应性以及患者接受度进行综合考虑。应用二阶e-Delphi方法以及以小结工作室，包括医生、科学家、哮喘患者以及生产商代表在内的专家就每项技术和监测手段的影响进行评级。在系统性文献综述中，节选21篇声明进行二阶e-Delphi方法计算。11份声明记作≥3分，并在工作室内进行深入讨论和共同分级。最重要的前三位诊断/预测工具排名为：哮喘新生物学标记物(例如，基因组学、蛋白组学和代谢组学）用于诊断和/或治疗；学龄前儿童未来哮喘精准预测；以及呼出气可挥发有机成分（VOCs）测量工具。
（上海交通大学医学院附属瑞金医院呼吸与危重症医学科 周剑平 万欢英 摘译）
（Clin Exp Allergy. 2017 Dec 31. doi: 10.1111/cea.13080. [Epub ahead of print]）
（Clin Exp Allergy. 2017 Dec 31. doi: 10.1111/cea.13080. [Epub ahead of print]）
Priorities for future research into asthma diagnostic tools: A PAN-EU Consensus exercise from the European asthma research innovation partnership (EARIP).
Clin Exp Allergy. 2017 Dec 31. doi: 10.1111/cea.13080. [Epub ahead of print]
Garcia-Marcos L, Edwards J, Kennington E, et al. EARIP collaboration.
Abstract
The diagnosis of asthma is currently based on clinical history, physical examination and lung function; and to date there are no accurate objective tests either to confirm the diagnosis or to discriminate between different types of asthma. This consensus exercise reviews the state-of-the-art in asthma diagnosis to identify opportunities for future investment based on the likelihood of their successful development, potential for widespread adoption and their perceived impact on asthma patients. Using a two-stage e-Delphi process and a summarising workshop, a group of European asthma experts including health professionals, researchers, people with asthma and industry representatives ranked the potential impact of research investment in each technique or tool for asthma diagnosis and monitoring. After a systematic review of the literature, 21 statements were extracted and were subject of the two-stage Delphi process. Eleven statements were scored 3 or more and were further discussed and ranked in a face to face workshop. The three most important diagnostic/predictive tools ranked were: "New biological markers of asthma (e.g. genomics, proteomics and metabolomics) as a tool for diagnosis and/or monitoring", "Prediction of future asthma in preschool children with reasonable accuracy" and "Tools to measure volatile organic compounds (VOCs) in exhaled breath".
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在乡村学校通过远程医疗进行的哮喘教育项目结果
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