医学
可靠性(半导体)
组分(热力学)
批判性评价
介绍(产科)
软件
口译(哲学)
领域(数学)
风险分析(工程)
原始数据
重症监护医学
梅德林
数据挖掘
医学物理学
数据表示法
计算机科学
数据科学
跨国公司
信息系统
作者
Antoine Léotard,Annalisa Carlucci,M. Luján-Torné,Claudio Rabec,Bruno Langevin,Frédéric Lofaso,Joao Carlos Winck,Jacinto Catalán,Cristina Lalmolda,J. Gonzalez-Bermejo,Jean-Paul Janssens
出处
期刊:Thorax
[BMJ]
日期:2026-01-02
卷期号:: thorax-2025
标识
DOI:10.1136/thorax-2025-223931
摘要
Background The increasing number of patients treated by long-term non-invasive ventilation (NIV) challenges the capacity of specialised centres to perform in-hospital follow-up evaluations and requires, therefore, from the clinician a thorough and critical appraisal of the information provided by ventilator software as an important component of follow-up assessment. A systematic approach of the information is required along with a knowledge of the limitations in the reliability of some parameters and the variability in modes of reporting, which may be confusing. Methods This review reports the summary of observations made by a multinational group of experts in this field (SomnoNIV) over several years, and the relevant items from the medical literature. Results We suggest a framework for a systematic approach of items provided by ventilator software, as well as a discussion of the different modes of reporting physiological variables according to manufacturers and pitfalls associated with some variables. An extensive iconography is included to illustrate and explicit the presentation of respiratory events occurring under NIV (impact of leaks, different patient-ventilator asynchronies, impact of inappropriate settings). Conclusion The analysis of the detailed tracings provided by the ventilator, and, importantly, the knowledge that these signals are modified and processed by the ventilator software and are not raw data, is important for the understanding of patient-ventilator interaction.
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