Literature DB >> 29487094

Minimizing Asynchronies in Mechanical Ventilation: Current and Future Trends.

Carles Subirà1, Candelaria de Haro2, Rudys Magrans3,4, Rafael Fernández1,4, Lluís Blanch5,4.   

Abstract

Patient-ventilator asynchrony exists when the phases of breath delivered by the ventilator do not match those of the patient. Asynchronies occur throughout mechanical ventilation and negatively affect patient comfort, duration of mechanical ventilation, length of ICU stays, and mortality. Identifying asynchronies requires careful attention to patients and their ventilator waveforms. This review discusses the different types of asynchronies, how they are generated, and their impact on patient comfort and outcome. Moreover, it discusses practical approaches for detecting, correcting, and preventing asynchronies. Current evidence suggests that the best approach to managing asynchronies is by adjusting ventilator settings. Proportional modes improve patient-ventilator coupling, resulting in greater comfort and less dyspnea, but not in improved outcomes with respect to the duration of mechanical ventilation, delirium, or cognitive impairment. Advanced computational technologies will allow smart alerts, and models based on time series of asynchronies will be able to predict and prevent asynchronies, making it possible to tailor mechanical ventilation to meet each patient's needs throughout the course of mechanical ventilation.
Copyright © 2018 by Daedalus Enterprises.

Entities:  

Keywords:  double triggering; flow asynchrony; ineffective inspiratory efforts; mechanical ventilation; monitoring; patient-ventilator asynchrony; proportional modes; reverse-triggered breath

Mesh:

Year:  2018        PMID: 29487094     DOI: 10.4187/respcare.05949

Source DB:  PubMed          Journal:  Respir Care        ISSN: 0020-1324            Impact factor:   2.258


  10 in total

1.  The Impact of a Training Intervention on Detection of Patient-Ventilator Asynchronies in Nursing Students.

Authors:  Francesco Gravante; Franco Crisci; Luigi Palmieri; Luciano Cecere; Cristian Fusi; Enrico Bulleri; Luigi Pisani; Stefano Bambi
Journal:  Acta Biomed       Date:  2022-05-12

2.  Outcomes of ventilatory asynchrony in patients with inspiratory effort.

Authors:  Frank Daniel Martos-Benítez; Yairén Domínguez-Valdés; Dailé Burgos-Aragüez; Hilev Larrondo-Muguercia; Versis Orama-Requejo; Karla Ximena Lara-Ponce; Iraida González-Martínez
Journal:  Rev Bras Ter Intensiva       Date:  2020-07-13

3.  Predicting Patient-ventilator Asynchronies with Hidden Markov Models.

Authors:  Yaroslav Marchuk; Rudys Magrans; Bernat Sales; Jaume Montanya; Josefina López-Aguilar; Candelaria de Haro; Gemma Gomà; Carles Subirà; Rafael Fernández; Robert M Kacmarek; Lluis Blanch
Journal:  Sci Rep       Date:  2018-12-04       Impact factor: 4.379

Review 4.  Patient-ventilator asynchronies during mechanical ventilation: current knowledge and research priorities.

Authors:  Candelaria de Haro; Ana Ochagavia; Josefina López-Aguilar; Sol Fernandez-Gonzalo; Guillem Navarra-Ventura; Rudys Magrans; Jaume Montanyà; Lluís Blanch
Journal:  Intensive Care Med Exp       Date:  2019-07-25

Review 5.  Patient-ventilator asynchronies: types, outcomes and nursing detection skills.

Authors:  Enrico Bulleri; Cristian Fusi; Stefano Bambi; Luigi Pisani
Journal:  Acta Biomed       Date:  2018-12-07

Review 6.  Respiratory Support Adjustments and Monitoring of Mechanically Ventilated Patients Performing Early Mobilization: A Scoping Review.

Authors:  Felipe González-Seguel; Agustín Camus-Molina; Anita Jasmén; Jorge Molina; Rodrigo Pérez-Araos; Jerónimo Graf
Journal:  Crit Care Explor       Date:  2021-04-26

7.  Risk Factors for Patient-Ventilator Asynchrony and Its Impact on Clinical Outcomes: Analytics Based on Deep Learning Algorithm.

Authors:  Huiqing Ge; Kailiang Duan; Jimei Wang; Liuqing Jiang; Lingwei Zhang; Yuhan Zhou; Luping Fang; Leo M A Heunks; Qing Pan; Zhongheng Zhang
Journal:  Front Med (Lausanne)       Date:  2020-11-25

8.  Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method.

Authors:  Francesco Mojoli; Marco Pozzi; Anita Orlando; Isabella M Bianchi; Eric Arisi; Giorgio A Iotti; Antonio Braschi; Laurent Brochard
Journal:  Crit Care       Date:  2022-01-30       Impact factor: 9.097

9.  Evaluation of progressive early rehabilitation training mode in intensive care unit patients with mechanical ventilation.

Authors:  Xiao-Jing Qie; Zhi-Hong Liu; Li-Min Guo
Journal:  World J Clin Cases       Date:  2022-08-16       Impact factor: 1.534

10.  Etiology, incidence, and outcomes of patient-ventilator asynchrony in critically-ill patients undergoing invasive mechanical ventilation.

Authors:  Yongfang Zhou; Steven R Holets; Man Li; Gustavo A Cortes-Puentes; Todd J Meyer; Andrew C Hanson; Phillip J Schulte; Richard A Oeckler
Journal:  Sci Rep       Date:  2021-06-11       Impact factor: 4.379

  10 in total

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