Literature DB >> 34703292

The Application of Electrical Impedance Tomography During the Ventilator Weaning Process.

Guan Wang1, Lei Zhang1, Bin Li1, Bingyin Niu1, Jian Jiang1, Duo Li1, Zhu Yue1, Yibing Weng1.   

Abstract

BACKGROUND: This study proposes the investigation of electrical impedance tomography (EIT) as a useful predictor for ventilator weaning.
METHODS: The study design was a nested case-control study and patients who were admitted to the intensive care unit and underwent their first tracheal intubation were enrolled. Those who successfully completed ventilator weaning and extubation after the first spontaneous breathing trial (SBT) were included in the weaning success group, while those who did not pass the SBT or received secondary intubation within 48 hours were included in the weaning failure group. In both groups, EIT was adopted to record the monitoring data in three phases: before the SBT (pre-SBT), during the SBT (SBT), and after the SBT (post-SBT).
RESULTS: A total of 53 patients were enrolled, including 41 cases in the weaning success group and 12 cases in the weaning failure group. The logistic regression analysis showed that the pre-SBT global impedance (GI) and the SBT region of interest 2 (ROI2) were significantly higher in the weaning success group than in the weaning failure group (p = 0.0001 and p = 0.002). The pre-SBT GI predicted weaning success with a sensitivity of 0.524, a specificity of 0.818, a p-value of 0.0496, and a 95% confidence interval (CI) of 0.001-0.978. The sensitivity, specificity, p-value, and 95% CI for the SBT ROI2 were 1, 0.595, 0.0164, and 1.010-1.108, respectively.
CONCLUSION: For patients without contraindications to EIT, the application of EIT is recommended to be added to the existing evaluation system for ventilator weaning, as it could help improve the weaning success rate. Further cohort studies are needed to investigate the actual efficacy of EIT after it has been added to the evaluation system.
© 2021 Wang et al.

Entities:  

Keywords:  electrical impedance tomography; mechanical ventilation; prediction; ventilator weaning

Year:  2021        PMID: 34703292      PMCID: PMC8528545          DOI: 10.2147/IJGM.S331772

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


  18 in total

Review 1.  Predictive parameters for weaning from mechanical ventilation.

Authors:  Sérgio Nogueira Nemer; Carmen Sílvia Valente Barbas
Journal:  J Bras Pneumol       Date:  2011 Sep-Oct       Impact factor: 2.624

Review 2.  Protocolized versus non-protocolized weaning for reducing the duration of mechanical ventilation in critically ill adult patients.

Authors:  Bronagh Blackwood; Karen E A Burns; Chris R Cardwell; Peter O'Halloran
Journal:  Cochrane Database Syst Rev       Date:  2014-11-06

Review 3.  2018 Year in Review: Adult Invasive Mechanical Ventilation.

Authors:  Karsten J Roberts
Journal:  Respir Care       Date:  2019-04-02       Impact factor: 2.258

4.  Focus on advances in electrical impedance tomography.

Authors:  Richard Bayford; Ryan J Halter
Journal:  Physiol Meas       Date:  2018-09-06       Impact factor: 2.833

5.  Spontaneous breathing trials after prolonged mechanical ventilation monitored by electrical impedance tomography: an observational study.

Authors:  Z Zhao; S-Y Peng; M-Y Chang; Y-L Hsu; I Frerichs; H-T Chang; K Möller
Journal:  Acta Anaesthesiol Scand       Date:  2017-08-17       Impact factor: 2.105

6.  Predictive factors of weaning from mechanical ventilation and extubation outcome: A systematic review.

Authors:  Antuani Rafael Baptistella; Fabio Junior Sarmento; Karina Ribeiro da Silva; Shaline Ferla Baptistella; Marcelo Taglietti; Radamés Ádamo Zuquello; João Rogério Nunes Filho
Journal:  J Crit Care       Date:  2018-08-20       Impact factor: 3.425

7.  Tracheobronchomalacia in a patient on invasive mechanical ventilation: the role of electrical impedance tomography in its detection and positive end-expiratory pressure titration.

Authors:  Olívia Meira Dias; Eduardo Leite Vieira Costa; Daniel Antunes Silva Pereira; Caroline Nappi Chaves; Samia Zahi Rached; Carmen Silvia Valente Barbas
Journal:  J Bras Pneumol       Date:  2015 Mar-Apr       Impact factor: 2.624

Review 8.  An Overview of the Predictor Standard Tools for Patient Weaning from Mechanical Ventilation.

Authors:  Acieh Dehghani; Gholamhossein Abdeyazdan; Elham Davaridolatabadi
Journal:  Electron Physician       Date:  2016-02-25

Review 9.  Mechanical ventilation weaning issues can be counted on the fingers of just one hand: part 1.

Authors:  Luigi Vetrugno; Giovanni Maria Guadagnin; Alessandro Brussa; Daniele Orso; Eugenio Garofalo; Andrea Bruni; Federico Longhini; Tiziana Bove
Journal:  Ultrasound J       Date:  2020-03-13

10.  Assessment of respiratory system compliance with electrical impedance tomography using a positive end-expiratory pressure wave maneuver during pressure support ventilation: a pilot clinical study.

Authors:  Tobias H Becher; Simon Bui; Günther Zick; Daniel Bläser; Dirk Schädler; Norbert Weiler; Inéz Frerichs
Journal:  Crit Care       Date:  2014-12-10       Impact factor: 9.097

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.