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经皮肌电图记录呼吸肌活动以量化机械通气儿童的患者-呼吸机相互作用

Transcutaneous electromyographic respiratory muscle recordings to quantify patient-ventilator interaction in mechanically ventilated children.

作者信息

Koopman Alette A, Blokpoel Robert G T, van Eykern Leo A, de Jongh Frans H C, Burgerhof Johannes G M, Kneyber Martin C J

机构信息

Division of Paediatric Intensive Care, Department of Paediatrics, Beatrix Children's Hospital, University Medical Center Groningen, The University of Groningen, Internal Postal Code CA 62, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.

Inbiolab B.V., Groningen, The Netherlands.

出版信息

Ann Intensive Care. 2018 Jan 24;8(1):12. doi: 10.1186/s13613-018-0359-9.

Abstract

BACKGROUND

To explore the feasibility of transcutaneous electromyographic respiratory muscle recordings to automatically quantify the synchronicity of patient-ventilator interaction in the pediatric intensive care unit.

METHODS

Prospective observational study in a tertiary paediatric intensive care unit in an university hospital. Spontaneous breathing mechanically ventilated children < 18 years of age were eligible for inclusion. Patients underwent a 5-min continuous recording of ventilator pressure waveforms and transcutaneous electromyographic signal of the diaphragm. To evaluate patient-ventilator interaction, the obtained neural inspiration and ventilator pressurization timings were used to calculate trigger and cycle-off errors of each breath. Calculated errors were displayed in the dEMG-phase scale.

RESULTS

Data of 23 patients were used for analysis. Based on the dEMG-phase scale, the median rates of synchronous, dyssynchronous and asynchronous breaths as classified by the automated analysis were 12.2% (1.9-33.8), 47.5% (36.3-63.1), and 28.9% (6.6-49.0).

CONCLUSIONS

The dEMG-phase scale quantifying patient-ventilator breath synchronicity was demonstrated to be feasible and a reliable scale for mechanically ventilated children, reflected by high intra-class correlation coefficients. As this non-invasive tool is not restricted to a type of ventilator, it could easily be clinical implemented in the ventilated pediatric population. However; correlation studies between the EMG signal measured by surface EMG and esophageal catheters have to be performed.

摘要

背景

探讨在儿科重症监护病房中,经皮肌电图记录呼吸肌活动以自动量化患者 - 呼吸机同步性的可行性。

方法

在一所大学医院的三级儿科重症监护病房进行前瞻性观察研究。纳入年龄小于18岁的机械通气且有自主呼吸的儿童。患者接受5分钟的呼吸机压力波形和膈肌经皮肌电图信号的连续记录。为评估患者 - 呼吸机同步性,利用获得的神经吸气和呼吸机增压时间来计算每一次呼吸的触发和脱机误差。计算得到的误差以膈肌肌电图相位标度显示。

结果

23例患者的数据用于分析。基于膈肌肌电图相位标度,自动分析分类的同步呼吸、不同步呼吸和异步呼吸的中位数率分别为12.2%(1.9 - 33.8)、47.5%(36.3 - 63.1)和28.9%(6.6 - 49.0)。

结论

量化患者 - 呼吸机呼吸同步性的膈肌肌电图相位标度被证明是可行的,并且对于机械通气儿童是一个可靠的标度,这通过高组内相关系数得以体现。由于这种非侵入性工具不限于某种类型的呼吸机,它可以很容易地在通气的儿科人群中临床应用。然而,必须进行表面肌电图测量的肌电图信号与食管导管之间的相关性研究。

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