ArticleBioengineering (Basel, Switzerland)2021
Assessing the Asynchrony Event Based on the Ventilation Mode for Mechanically Ventilated Patients in ICU.
Article in Bioengineering (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 8 citations in OpenAlex.
- PVADet: fast patient-ventilator asynchrony detection on waveforms.Journal of clinical monitoring and computing · 2026Article
- A Comparative Study on Predication of Appropriate Mechanical Ventilation Mode through Machine Learning Approach.Bioengineering (Basel, Switzerland) · 2023Article
- Biomechanics Assist Measurement, Modeling, Engineering Applications, and Clinical Decision Making in Medicine.Bioengineering (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Respiratory system modelling can assist clinicians in making clinical decisions during mechanical ventilation (MV) management in intensive care. However, there are some cases where the MV patients produce asynchronous breathing (asynchrony events) due to the spontaneous breathing (SB) effort even though they are fully sedated. Currently, most of the developed models are only suitable for fully sedated patients, which means they cannot be implemented for patients who produce asynchrony in their breathing. This leads to an incorrect measurement of the actual underlying mechanics in these patients. As a result, there is a need to develop a model that can detect asynchrony in real-time and at the bedside throughout the ventilated days. This paper demonstrates the asynchronous event detection of MV patients in the ICU of a hospital by applying a developed extended time-varying elastance model. Data from 10 mechanically ventilated respiratory failure patients admitted at the International Islamic University Malaysia (IIUM) Hospital were collected. The results showed that the model-based technique precisely detected asynchrony events (AEs) throughout the ventilation days. The patients showed an increase in AEs during the ventilation period within the same ventilation mode. SIMV mode produced much higher asynchrony compared to SPONT mode (
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