慢性阻塞性肺疾病慢性 NIV 监测创新技术的临床证据和技术方面:叙述性综述。

Expert review of respiratory medicine Pub Date : 2024-07-01 Epub Date: 2024-08-13 DOI:10.1080/17476348.2024.2384024
F Soleimani, D W Donker, E Oppersma, M L Duiverman
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引用次数: 0

摘要

简介:慢性夜间无创通气(NIV)可改善慢性阻塞性肺疾病慢性高碳酸血症呼吸衰竭患者的预后。慢性阻塞性肺病患者进行慢性夜间无创通气的目的是控制慢性高碳酸血症呼吸功能不全,减轻夜间通气不足的症状,从而提高生活质量。慢性 NIV 治疗越来越多地完全在家中进行,在患者和护理人员的满意度、医院护理消耗和成本降低方面都取得了可喜的成果。然而,要在适应和随访期间实现并保持最佳通气状态,有效可行的(家庭)监测是一项重大挑战:对长期接受 NIV 的慢性阻塞性肺病患者进行全面监测需要整合呼吸机数据和患者状态评估,包括气体交换、睡眠质量和患者报告的结果。本文介绍了 NIV 监测的生理背景,旨在概述现有的监测方法,评估其可靠性和临床相关性:长期使用 NIV 的患者是进行家庭监护的 "理想 "人选;将医院护理转变为家庭护理对患者和护理人员以及面临患者人数不断增加的医疗保健系统而言具有巨大优势。尽管有多种可用的监测方法,但确定和描述与患者最佳福祉相关的最相关参数仍不明确。
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Clinical evidence and technical aspects of innovative technology and monitoring of chronic NIV in COPD: a narrative review.

Introduction: Chronic nocturnal noninvasive ventilation (NIV) improves outcomes in COPD patients with chronic hypercapnic respiratory failure. The aim of chronic NIV in COPD is to control chronic hypercapnic respiratory insufficiency and reduce symptoms of nocturnal hypoventilation, thereby improving quality of life. Chronic NIV care is more and more offered exclusively at home, enabling promising outcomes in terms of patient and caregiver satisfaction, hospital care consumption and cost reduction. Yet, to achieve and maintain optimal ventilation, during adaptation and follow-up, effective feasible (home) monitoring poses a significant challenge.

Areas covered: Comprehensive monitoring of COPD patients receiving chronic NIV requires integrating data from ventilators and assessment of the patient's status including gas exchange, sleep quality, and patient-reported outcomes. The present article describes the physiological background of monitoring during NIV and aims to provide an overview of existing methods for monitoring, assessing their reliability and clinical relevance.

Expert opinion: Patients on chronic NIV are 'ideal' candidates for home monitoring; the advantages of transforming hospital to home care are huge for patients and caregivers and for healthcare systems facing increasing patient numbers. Despite the multitude of available monitoring methods, identifying and characterizing the most relevant parameters associated with optimal patient well-being remains unclear.

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