通过相关图和多变量奇异谱分析评估机械通气患者的呼吸肌耦合

I. C. Muñoz, A. M. Hernandez, H. Hassani
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引用次数: 0

摘要

机械通气(Mechanical ventilation, MV)是一种临床治疗方法,当患者的通气量因病理生理原因或术后条件(如心脏手术)而降低时,机械通气是必要的。22.7%的心脏手术患者需要24 ~ 48小时机械通气。[1]。在这些患者中,死亡率可能超过40%。据了解,脱机失败的主要原因是呼吸肌能力、机械通气和呼吸控制器动作之间的不平衡。本文介绍了呼吸肌耦合作为心血管术后机械通气患者呼吸功指标的评估。该方法包括膈肌、肋间肌和胸锁乳突肌的相关图和多通道奇异谱分析,显示超过70%的病例存在肌肉之间的线性和非线性耦合。脱机失败的患者也表现出高度的肌肉耦合,这可能是由于呼吸机的设置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of respiratory muscle coupling through correlograms and multivariable singular spectrum analysis in mechanically ventilated patients
Mechanical ventilation (MV) is a clinical therapy that becomes necessary when the ventilatory capacity of patients is depressed by pathophysiological reasons or post-surgery conditions like cardiac surgery. 22.7% of patients undergoing cardiac surgery require mechanical ventilation over 24 to 48 hours. [1]. In these patients, the mortality rate may exceed 40%. It is known that the main cause of failure in weaning is an imbalance between the ability of respiratory muscles, mechanical ventilation and respiratory controller actions. This paper presents the assessment of respiratory muscles coupling as an indicator of work of breathing in mechanically ventilated cardiovascular postoperative patients. The approach includes correlograms and multichannel singular spectrum analysis of diaphragm, intercostal and sternocleidomastoid, showing that over 70% of cases had linear and nonlinear coupling between muscles. Patients that had a failed weaning also presented high muscle coupling probably due to the ventilator settings.
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