2018
DOI: 10.1186/s13613-018-0454-y
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Lung aeration and ventilation after percutaneous tracheotomy measured by electrical impedance tomography in non-hypoxemic critically ill patients: a prospective observational study

Abstract: BackgroundPercutaneous dilatational tracheotomy (PDT) may lead to transient impairment of pulmonary function due to suboptimal ventilation, loss of positive end-expiratory pressure (PEEP) and repetitive suction maneuvers during the procedure. Possible changes in regional lung aeration were investigated using electrical impedance tomography (EIT), an increasingly implied instrument for bedside monitoring of pulmonary aeration.MethodsWith local ethics committee approval, after obtaining written informed consent … Show more

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Cited by 5 publications
(4 citation statements)
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“…In two studies, there was a high concern regarding applicability of population selection. These two studies included a highly selective population, i.e., patients after cardiac surgery (Longo et al, 2017) or patients who underwent tracheostomy (Eichler et al, 2018).…”
Section: Included Studiesmentioning
confidence: 99%
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“…In two studies, there was a high concern regarding applicability of population selection. These two studies included a highly selective population, i.e., patients after cardiac surgery (Longo et al, 2017) or patients who underwent tracheostomy (Eichler et al, 2018).…”
Section: Included Studiesmentioning
confidence: 99%
“…Only one study addressed the prediction of response to RM in patients in the operating room. A decreasing pattern of endexpiratory lung impedance (EELI) evaluated with EIT was found to be related to the amount of re-aerated lung tissue (Eichler et al, 2018; Table 3).…”
Section: Heterogeneity In Re-aeration and Prediction Of Positive Response To Rmmentioning
confidence: 99%
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“…The spatial resolution of EIT is still limited by the intrinsic ill-posed nature. Improving EIT image resolution is critical for a variety of applications, such as lung monitoring [16], [17] and brain imaging [18]. For the past decades, various efforts † are devoted to exploiting NNs to improve EIT image quality.…”
Section: Introductionmentioning
confidence: 99%