Literature DB >> 16755257

Reduced breathing variability as a predictor of unsuccessful patient separation from mechanical ventilation.

Marc Wysocki1, Christophe Cracco, Antonio Teixeira, Alain Mercat, Jean-Luc Diehl, Yannick Lefort, Jean-Philippe Derenne, Thomas Similowski.   

Abstract

OBJECTIVES: To compare descriptors of the breath-to-breath respiratory variability during a 60-min spontaneous breathing trial in patients successfully and unsuccessfully separated from the ventilator and the endotracheal tube and to assess the usefulness of these predictors in discriminating these two categories of patients.
DESIGN: Prospective observational study.
SETTING: Four general intensive care units in university hospitals. PATIENTS: A total of 51 consecutive patients mechanically ventilated for >24 hrs.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: Tidal volume, respiratory period, inspiratory time, expiratory time, mean inspiratory flow (tidal volume/inspiratory time), and duty cycle (inspiratory time/respiratory period) were obtained from the flow signal. Breath-by-breath variability was expressed in terms of their coefficients of variation (CV), the number of breaths among which a significant correlation was found (lag), and the autocorrelation coefficient between one breath and the following one. Five patients were excluded because of nonstationarity of the data, leaving 46 cases for analysis. Between-group comparison was conducted with the Mann-Whitney test, and a nonparametric classification and regression tree was used to identify variables discriminating "success" (n = 32) and "failure" patients (n = 14). All coefficients of variation were significantly higher in success patients, who also exhibited significantly less respiratory autocorrelation (shorter "short memory"). The classification and regression tree analysis allocated all success patients to a group defined by a coefficient of variation of tidal volume/inspiratory time of > or =19% and a coefficient of variation of inspiratory time/respiratory period of > or =10% that did not contain any failure patient. All failure patients belonged to a group with coefficient of variation of tidal volume/inspiratory time of <19%, a lag tidal volume of > or =11, and that contained no success patient.
CONCLUSIONS: In intensive care unit patients undergoing a spontaneous breathing trial, breathing variability is greater in patients successfully separated from the ventilator and the endotracheal tube. Variability indices are sufficient to separate success from failure cases.

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Year:  2006        PMID: 16755257     DOI: 10.1097/01.CCM.0000227175.83575.E9

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  51 in total

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Authors:  Emmanuel Vivier; Armand Mekontso Dessap; Saoussen Dimassi; Frederic Vargas; Aissam Lyazidi; Arnaud W Thille; Laurent Brochard
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2.  Evolution of pattern of breathing during a spontaneous breathing trial predicts successful extubation.

Authors:  Leopoldo N Segal; Erwin Oei; Beno W Oppenheimer; Roberta M Goldring; Rami T Bustami; Salvatore Ruggiero; Kenneth I Berger; Stanley B Fiel
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3.  Lung and brainstem cytokine levels are associated with breathing pattern changes in a rodent model of acute lung injury.

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Journal:  Respir Physiol Neurobiol       Date:  2011-05-06       Impact factor: 1.931

Review 4.  Monitoring Severity of Multiple Organ Dysfunction Syndrome: New Technologies.

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5.  Decreased respiratory rate variability during mechanical ventilation is associated with increased mortality.

Authors:  Guillermo Gutierrez; Aparna Das; Guillermo Ballarino; Arshan Beyzaei-Arani; Hülya Türkan; Marian Wulf-Gutierrez; Katherine Rider; Hatice Kaya; Richard Amdur
Journal:  Intensive Care Med       Date:  2013-06-07       Impact factor: 17.440

6.  Diaphragm electromyographic activity as a predictor of weaning failure.

Authors:  Martin Dres; Matthieu Schmidt; Alexis Ferre; Julien Mayaux; Thomas Similowski; Alexandre Demoule
Journal:  Intensive Care Med       Date:  2012-09-26       Impact factor: 17.440

Review 7.  A healthy dose of chaos: Using fractal frameworks for engineering higher-fidelity biomedical systems.

Authors:  Anastasia Korolj; Hau-Tieng Wu; Milica Radisic
Journal:  Biomaterials       Date:  2019-07-15       Impact factor: 12.479

8.  Isoflurane and ketamine anesthesia have different effects on ventilatory pattern variability in rats.

Authors:  Augustine Chung; Mikkel Fishman; Elliott C Dasenbrook; Kenneth A Loparo; Thomas E Dick; Frank J Jacono
Journal:  Respir Physiol Neurobiol       Date:  2012-12-14       Impact factor: 1.931

9.  Hypercapnia in late-phase ALI/ARDS: providing spontaneous breathing using pumpless extracorporeal lung assist.

Authors:  Steffen Weber-Carstens; Sven Bercker; Matthias Hommel; Maria Deja; Martin MacGuill; Christiane Dreykluft; Udo Kaisers
Journal:  Intensive Care Med       Date:  2009-01-31       Impact factor: 17.440

10.  Evaluating physiological dynamics via synchrosqueezing: prediction of ventilator weaning.

Authors:  Hau-Tieng Wu; Shu-Shua Hseu; Mauo-Ying Bien; Yu Ru Kou; Ingrid Daubechies
Journal:  IEEE Trans Biomed Eng       Date:  2013-11-04       Impact factor: 4.538

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