加重慢性阻塞性肺疾病无创通气临床医生指南

IF 2.7
Giulia Panzuti, Gilda Giancotti, Stefano Nava, Maria Laura Vega Pittao
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引用次数: 0

摘要

慢性阻塞性肺疾病(COPD)是一种以持续气流受限为特征的衰弱性疾病,导致发病率和死亡率增加。慢性阻塞性肺病急性加重(AECOPD)可引起快速恶化,导致高碳酸血症性呼吸衰竭和呼吸性酸中毒。无创通气(NIV)是AECOPD的关键治疗方法,可改善气体交换,氧合,减少呼吸功,同时避免有创机械通气(IMV)的风险。涵盖领域:本综述强调了NIV作为AECOPD管理一线治疗的作用,讨论了其机制、适应症和临床益处。适当的患者选择、量身定制的设置和仔细的监测对于优化结果和减少并发症至关重要。专家意见:在AECOPD管理中广泛使用NIV引起了对工作人员专业知识的担忧,因为成功取决于患者选择、呼吸机设置和监测。识别失败预测因子对于防止延迟插管和不良预后至关重要。研究应侧重于培训、减少错误和推进技术,包括人工智能驱动的自动化以提高同步性。尽管它的使用有所增加,特别是在2019冠状病毒病期间,但在员工教育和技术方面的进展仍然有限。增强临床医生的信心和开发智能呼吸机算法是关键,但在确保有效和挽救生命的NIV应用方面,人类专业知识仍然至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A clinicians' guide to non-invasive ventilation for exacerbated chronic obstructive pulmonary disease.

Introduction: Chronic Obstructive Pulmonary Disease (COPD) is a debilitating condition marked by persistent airflow limitation, leading to increased morbidity and mortality. Acute exacerbations of COPD (AECOPD) can cause rapid deterioration, resulting in hypercapnic respiratory failure and respiratory acidosis. Non-invasive ventilation (NIV) is a key treatment for AECOPD, improving gas exchange, oxygenation, and reducing work of breathing while avoiding the risks of invasive mechanical ventilation (IMV).

Areas covered: This review highlights NIV role as a first-line therapy in AECOPD management, discussing its mechanisms, indications, and clinical benefits. Proper patient selection, tailored settings, and careful monitoring are crucial for optimizing outcomes and minimizing complications.

Expert opinion: The widespread use of NIV in AECOPD management raises concerns about staff expertise, as success depends on patient selection, ventilator settings, and monitoring. Identifying failure predictors is crucial to prevent delayed intubation and poor outcomes. Research should focus on training, reducing errors, and advancing technology, including Artificial Intelligence-driven automation to improve synchrony. Despite its increased use, especially during COVID-19, progress in staff education and technology remains limited. Enhancing clinician confidence and developing intelligent ventilator algorithms are key, but human expertise remains essential in ensuring effective and life-saving NIV application.

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