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Transesophageal Versus Surface Electromyography of the Diaphragm in Ventilated Subjects

纸卷 医学 振膜(声学) 肌电图 物理医学与康复 工程类 电气工程 机械工程 扬声器
作者
Joost L.C. Lokin,Soray Dulger,Gerie J. Glas,Janneke Horn
出处
期刊:Respiratory Care [American Association for Respiratory Care]
卷期号:65 (9): 1309-1314 被引量:3
标识
DOI:10.4187/respcare.07094
摘要

BACKGROUND:

Detection of diaphragmatic muscle activity during invasive ventilation may provide valuable information about patient-ventilator interactions. Transesophageal electromyography of the diaphragm (tEAdi) is used in neurally adjusted ventilatory assist. This technique is invasive and can only be applied with one specific ventilator. Surface electromyography of the diaphragm (sEAdi) is noninvasive and can potentially be applied with all types of ventilators. The primary objective of our study was to compare the ability of diaphragm activity detection between sEAdi and tEAdi.

METHODS:

In this single-center pilot study, sEAdi and tEAdi recordings were obtained simultaneously for 15 min in adult subjects in the ICU who were invasively ventilated. The number of breathing efforts detected by sEAdi and tEAdi were determined. The percentage of detected breathing efforts by sEAdi compared with tEAdi was calculated. Temporal and signal strength relations on optimum recordings of 10 breaths per subject were also compared. The Spearman correlation coefficient was used to determine the correlation between sEAdi and tEAdi. Agreement was calculated by using Bland-Altman statistics.

RESULTS:

Fifteen subjects were included. The tEAdi detected 3,675 breathing efforts, of which 3,162 (86.0%) were also detected by sEAdi. A statistically significant temporal correlation (r = 0.95, P < .001) was found between sEAdi and tEAdi in stable recordings. The mean difference in the time intervals between both techniques was 10.1 ms, with limits of agreement from –410 to 430 ms.

CONCLUSIONS:

Analysis of our results showed that sEAdi was not reliable for breathing effort detection in subjects who were invasively ventilated compared with tEAdi. In stable recordings, however, sEAdi and tEAdi had excellent temporal correlation and good agreement. With optimization of signal stability, sEAdi may become a useful monitoring tool.
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