Literature DB >> 30172034

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

Antuani Rafael Baptistella1, Fabio Junior Sarmento2, Karina Ribeiro da Silva2, Shaline Ferla Baptistella3, Marcelo Taglietti4, Radamés Ádamo Zuquello5, João Rogério Nunes Filho6.   

Abstract

PURPOSE: To identify, describe and discuss the parameters used to predict weaning from mechanical ventilation and extubation outcomes.
METHODS: Systematic review of scientific articles using four electronic databases: PubMed, Embase, PEDro and Cochrane Library. Search terms included "weaning", "extubation", "withdrawal" and "discontinuation", combined with "mechanical ventilation" and "predictive factors", "predictive parameters" and "predictors for success". In this study, we included original articles that presented predictive factors for weaning or extubation outcomes in adult patients and not restricted to a single disease. Articles not written in English were excluded.
RESULTS: A total of 43 articles were included, with a total of 7929 patients and 56 different parameters related to weaning and extubation outcomes. Rapid Shallow Breathing Index (RSBI) was the most common predictor, discussed in 15 studies (2159 patients), followed by Age and Maximum Inspiratory Pressure in seven studies. The other 53 parameters were found in less than six studies.
CONCLUSION: There are several parameters used to predict weaning and extubation outcomes. RSBI was the most frequently studied and seems to be an important measurement tool in deciding whether to wean/extubate a patient. Furthermore, the results demonstrated that weaning and extubation should be guided by several parameters, and not only to respiratory ones.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Extubation; Mechanical ventilation; Predictive parameters, outcome; Weaning

Mesh:

Year:  2018        PMID: 30172034     DOI: 10.1016/j.jcrc.2018.08.023

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  18 in total

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

Authors:  Guan Wang; Lei Zhang; Bin Li; Bingyin Niu; Jian Jiang; Duo Li; Zhu Yue; Yibing Weng
Journal:  Int J Gen Med       Date:  2021-10-16

2.  Prolonged mechanical ventilation in patients with severe COVID-19 is associated with serial modified-lung ultrasound scores: A single-centre cohort study.

Authors:  Hayato Taniguchi; Aimi Ohya; Hidehiro Yamagata; Masayuki Iwashita; Takeru Abe; Ichiro Takeuchi
Journal:  PLoS One       Date:  2022-07-13       Impact factor: 3.752

3.  Impact of Inspiratory Muscle Training on Weaning Parameters in Prolonged Ventilator-Dependent Patients: A Preliminary Study.

Authors:  Hsiao-Yun Chang; Hsiang-Chun Hsiao; Hwai-Luh Chang
Journal:  SAGE Open Nurs       Date:  2022-07-07

4.  Comparison of "cough peak expiratory flow measurement" and "cough strength measurement using the white card test" in extubation success: A randomized controlled trial.

Authors:  Mohsen Abedini; Razieh Froutan; Ahmad Bagheri Moghaddam; Seyed Reza Mazloum
Journal:  J Res Med Sci       Date:  2020-05-22       Impact factor: 1.852

5.  Value of modified Burns Wean Assessment Program scores in the respiratory intensive care unit: an Egyptian study.

Authors:  Nermeen A Abdelaleem; Sherif A A Mohamed; Azza S Abd ElHafeez; Hassan A Bayoumi
Journal:  Multidiscip Respir Med       Date:  2020-08-06

6.  Sarcopenia is an effective predictor of difficult-to-wean and mortality among critically ill surgical patients.

Authors:  Hao-Wei Kou; Chih-Hua Yeh; Hsin-I Tsai; Chih-Chieh Hsu; Yi-Chung Hsieh; Wei-Ting Chen; Hao-Tsai Cheng; Ming-Chin Yu; Chao-Wei Lee
Journal:  PLoS One       Date:  2019-08-08       Impact factor: 3.240

7.  Variables predicting weaning outcome in prolonged mechanically ventilated tracheotomized patients: a retrospective study.

Authors:  Alessandro Ghiani; Joanna Paderewska; Alexandros Sainis; Alexander Crispin; Swenja Walcher; Claus Neurohr
Journal:  J Intensive Care       Date:  2020-02-21

8.  Prediction of extubation outcome in mechanically ventilated patients: Development and validation of the Extubation Predictive Score (ExPreS).

Authors:  Antuani Rafael Baptistella; Laura Maito Mantelli; Leandra Matte; Maria Eduarda da Rosa Ulanoski Carvalho; João Antonio Fortunatti; Iury Zordan Costa; Felipe Gabriel Haro; Vanda Laís de Oliveira Turkot; Shaline Ferla Baptistella; Diego de Carvalho; João Rogério Nunes Filho
Journal:  PLoS One       Date:  2021-03-18       Impact factor: 3.240

9.  Predictors for extubation failure in COVID-19 patients using a machine learning approach.

Authors:  Lucas M Fleuren; Tariq A Dam; Michele Tonutti; Daan P de Bruin; Robbert C A Lalisang; Diederik Gommers; Olaf L Cremer; Rob J Bosman; Sander Rigter; Evert-Jan Wils; Tim Frenzel; Dave A Dongelmans; Remko de Jong; Marco Peters; Marlijn J A Kamps; Dharmanand Ramnarain; Ralph Nowitzky; Fleur G C A Nooteboom; Wouter de Ruijter; Louise C Urlings-Strop; Ellen G M Smit; D Jannet Mehagnoul-Schipper; Tom Dormans; Cornelis P C de Jager; Stefaan H A Hendriks; Sefanja Achterberg; Evelien Oostdijk; Auke C Reidinga; Barbara Festen-Spanjer; Gert B Brunnekreef; Alexander D Cornet; Walter van den Tempel; Age D Boelens; Peter Koetsier; Judith Lens; Harald J Faber; A Karakus; Robert Entjes; Paul de Jong; Thijs C D Rettig; Sesmu Arbous; Sebastiaan J J Vonk; Mattia Fornasa; Tomas Machado; Taco Houwert; Hidde Hovenkamp; Roberto Noorduijn Londono; Davide Quintarelli; Martijn G Scholtemeijer; Aletta A de Beer; Giovanni Cinà; Adam Kantorik; Tom de Ruijter; Willem E Herter; Martijn Beudel; Armand R J Girbes; Mark Hoogendoorn; Patrick J Thoral; Paul W G Elbers
Journal:  Crit Care       Date:  2021-12-27       Impact factor: 9.097

10.  The predictive value of diaphragm ultrasound for weaning outcomes in critically ill children.

Authors:  Yang Xue; Zhen Zhang; Chu-Qiao Sheng; Yu-Mei Li; Fei-Yong Jia
Journal:  BMC Pulm Med       Date:  2019-12-30       Impact factor: 3.317

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