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美国胸科学会官方研讨会报告:睡眠研究中吸气气流受限的无创识别

An Official American Thoracic Society Workshop Report: Noninvasive Identification of Inspiratory Flow Limitation in Sleep Studies.

作者信息

Pamidi Sushmita, Redline Susan, Rapoport David, Ayappa Indu, Palombini Luciana, Farre Ramon, Kirkness Jason, Pépin Jean-Louis, Polo Olli, Wellman Andrew, Kimoff R John

出版信息

Ann Am Thorac Soc. 2017 Jul;14(7):1076-1085. doi: 10.1513/AnnalsATS.201704-318WS.

Abstract

This report summarizes the proceedings of the American Thoracic Society Workshop on the Noninvasive Identification of Inspiratory Flow Limitation in Sleep Studies held on May 16, 2015, in Denver, Colorado. The goal of the workshop was to discuss methods for standardizing the scoring of flow limitation from nasal cannula pressure tracings. The workshop began with presentations on the physiology underlying flow limitation, existing methods of scoring flow limitation, the effects of signal acquisition and filtering on flow shapes, and a review of the literature examining the adverse outcomes related to flow limitation. After these presentations, the results from online scoring exercises, which were crowdsourced to workshop participants in advance of the workshop, were reviewed and discussed. Break-out sessions were then held to discuss potential algorithms for scoring flow limitation. Based on these discussions, subsequent online scoring exercises, and webinars after the workshop, a consensus-based set of recommendations for a scoring algorithm for flow limitation was developed. Key conclusions from the workshop were: (1) a standardized and automated approach to scoring flow limitation is needed to provide a metric of nonepisodic elevated upper airway resistance, which can then be related to clinical outcomes in large cohorts and patient groups; (2) at this time, the most feasible method for standardization is by proposing a consensus-based framework, which includes scoring rules, developed by experts (3) hardware and software settings of acquisition devices, including filter settings, affect the shape of the flow curve, and should be clearly specified; and (4) a priority for future research is the generation of an open-source, expert-derived training set to encourage and support validation of automated flow limitation scoring algorithms.

摘要

本报告总结了2015年5月16日在科罗拉多州丹佛市举行的美国胸科学会睡眠研究中吸气气流受限无创识别研讨会的会议记录。该研讨会的目标是讨论从鼻导管压力描记图对气流受限进行标准化评分的方法。研讨会首先介绍了气流受限的生理基础、现有的气流受限评分方法、信号采集和滤波对气流形状的影响,以及对与气流受限相关不良后果的文献综述。在这些介绍之后,对研讨会前预先众包给参会者的在线评分练习结果进行了回顾和讨论。然后举行了分组会议,讨论气流受限评分的潜在算法。基于这些讨论、随后的在线评分练习以及研讨会后的网络研讨会,制定了一套基于共识的气流受限评分算法建议。研讨会的主要结论如下:(1)需要一种标准化和自动化的气流受限评分方法,以提供一种非发作性上气道阻力升高的指标,进而可将其与大型队列和患者群体的临床结果相关联;(2)目前,最可行的标准化方法是提出一个基于共识的框架,其中包括由专家制定的评分规则;(3)采集设备的硬件和软件设置,包括滤波设置,会影响气流曲线的形状,应明确规定;(4)未来研究的一个重点是生成一个开源的、由专家得出的训练集,以鼓励和支持自动气流受限评分算法的验证。

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