Skip Navigation
Skip to contents

ACC : Acute and Critical Care

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
1 "assisted mechanical ventilation"
Filter
Filter
Article category
Keywords
Publication year
Authors
Review
Pulmonary
Patient-Ventilator Dyssynchrony
Elvira-Markela Antonogiannaki, Dimitris Georgopoulos, Evangelia Akoumianaki
Korean J Crit Care Med. 2017;32(4):307-322.   Published online November 30, 2017
DOI: https://doi.org/10.4266/kjccm.2017.00535
  • 33,492 View
  • 2,059 Download
  • 12 Web of Science
  • 11 Crossref
AbstractAbstract PDF
In mechanically ventilated patients, assisted mechanical ventilation (MV) is employed early, following the acute phase of critical illness, in order to eliminate the detrimental effects of controlled MV, most notably the development of ventilator-induced diaphragmatic dysfunction. Nevertheless, the benefits of assisted MV are often counteracted by the development of patient-ventilator dyssynchrony. Patient-ventilator dyssynchrony occurs when either the initiation and/or termination of mechanical breath is not in time agreement with the initiation and termination of neural inspiration, respectively, or if the magnitude of mechanical assist does not respond to the patient’s respiratory demand. As patient-ventilator dyssynchrony has been associated with several adverse effects and can adversely influence patient outcome, every effort should be made to recognize and correct this occurrence at bedside. To detect patient-ventilator dyssynchronies, the physician should assess patient comfort and carefully inspect the pressure- and flow-time waveforms, available on the ventilator screen of all modern ventilators. Modern ventilators offer several modifiable settings to improve patient-ventilator interaction. New proportional modes of ventilation are also very helpful in improving patient-ventilator interaction.

Citations

Citations to this article as recorded by  
  • Acute Respiratory Failure in Severe Acute Brain Injury
    Zachary Robateau, Victor Lin, Sarah Wahlster
    Critical Care Clinics.2024; 40(2): 367.     CrossRef
  • Quantifiable identification of flow-limited ventilator dyssynchrony with the deformed lung ventilator model
    Deepak K. Agrawal, Bradford J. Smith, Peter D. Sottile, George Hripcsak, David J. Albers
    Computers in Biology and Medicine.2024; 173: 108349.     CrossRef
  • A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony
    Ishmael Obeso, Benjamin Yoon, David Ledbetter, Melissa Aczon, Eugene Laksana, Alice Zhou, R. Andrew Eckberg, Keith Mertan, Robinder G. Khemani, Randall Wetzel
    Biomedical Signal Processing and Control.2023; 86: 105251.     CrossRef
  • Effects of Neurally Adjusted Ventilation Assist (NAVA) and conventional modes of mechanical ventilation on diaphragm functions: A randomized controlled trial
    Vijay Hadda, Sourabh Pahuja, Saurabh Mittal, Karan Madan, Maroof A Khan, Anant Mohan, Randeep Guleria
    Heart & Lung.2022; 53: 36.     CrossRef
  • Reverse Triggering: An Introduction to Diagnosis, Management, and Pharmacologic Implications
    Brian Murray, Andrea Sikora, Jason R. Mock, Thomas Devlin, Kelli Keats, Rebecca Powell, Thomas Bice
    Frontiers in Pharmacology.2022;[Epub]     CrossRef
  • Attention-based convolutional long short-term memory neural network for detection of patient-ventilator asynchrony from mechanical ventilation
    Dingfu Chen, Kangwei Lin, Ziheng Deng, Dayu Li, Qingxu Deng
    Biomedical Signal Processing and Control.2022; 78: 103923.     CrossRef
  • Tracheotomy in ventilator-dependent patients with COVID-19: a cross-sectional study of analgesia and sedative requirements
    Brianne Wiemann, Jessica Mitchell, Preeyaporn Sarangarm, Richard Miskimins
    Journal of International Medical Research.2022; 50(11): 030006052211384.     CrossRef
  • An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation
    Qing Pan, Lingwei Zhang, Mengzhe Jia, Jie Pan, Qiang Gong, Yunfei Lu, Zhongheng Zhang, Huiqing Ge, Luping Fang
    Computer Methods and Programs in Biomedicine.2021; 204: 106057.     CrossRef
  • Accuracy of Algorithms and Visual Inspection for Detection of Trigger Asynchrony in Critical Patients : A Systematic Review
    Monique Bandeira, Alícia Almeida, Lívia Melo, Pedro Henrique de Moura, Emanuelle Olympia Ribeiro Silva, Jakson Silva, Armèle Dornelas de Andrade, Daniella Brandão, Shirley Campos, Robert Boots
    Critical Care Research and Practice.2021; 2021: 1.     CrossRef
  • Patient–Ventilator Dyssynchrony in Critically Ill Patients
    Bruno De Oliveira, Nahla Aljaberi, Ahmed Taha, Baraa Abduljawad, Fadi Hamed, Nadeem Rahman, Jihad Mallat
    Journal of Clinical Medicine.2021; 10(19): 4550.     CrossRef
  • Patient–ventilator asynchrony in acute brain-injured patients: a prospective observational study
    Xu-Ying Luo, Xuan He, Yi-Min Zhou, Yu-Mei Wang, Jing-Ran Chen, Guang-Qiang Chen, Hong-Liang Li, Yan-Lin Yang, Linlin Zhang, Jian-Xin Zhou
    Annals of Intensive Care.2020;[Epub]     CrossRef

ACC : Acute and Critical Care