Literature DB >> 21666447

Comparisons of predictive performance of breathing pattern variability measured during T-piece, automatic tube compensation, and pressure support ventilation for weaning intensive care unit patients from mechanical ventilation.

Mauo-Ying Bien1, You Shui Lin, Chung-Hung Shih, You-Lan Yang, Hui-Wen Lin, Kuan-Jen Bai, Jia-Horng Wang, Yu Ru Kou.   

Abstract

OBJECTIVE: To investigate the influence of different ventilatory supports on the predictive performance of breathing pattern variability for extubation outcomes in intensive care unit patients. DESIGN AND
SETTING: A prospective measurement of retrospectively analyzed breathing pattern variability in a medical center. PATIENTS: Sixty-eight consecutive and ready-for-weaning patients were divided into success (n=45) and failure (n=23) groups based on their extubation outcomes. MEASUREMENTS: Breath-to-breath analyses of peak inspiratory flow, total breath duration, tidal volume, and rapid shallow breathing index were performed for three 30-min periods while patients randomly received T-piece, 100% inspiratory automatic tube compensation with 5 cm H2O positive end-expiratory pressure, and 5 cm H2O pressure support ventilation with 5 cm H2O positive end-expiratory pressure trials. Coefficient of variations and data dispersion (standard descriptor values SD1 and SD2 of the Poincaré plot) were analyzed to serve as breathing pattern variability indices. MAIN
RESULTS: Under all three trials, breathing pattern variability in extubation failure patients was smaller than in extubation success patients. Compared to the T-piece trial, 100% inspiratory automatic tube compensation with 5 cm H2O positive end-expiratory pressure and 5 cm H2O pressure support ventilation with 5 cm H2O positive end-expiratory pressure decreased the ability of certain breathing pattern variability indices to discriminate extubation success from extubation failure. The areas under the receiver operating characteristic curve of these breathing pattern variability indices were: T-piece (0.73-0.87)>100% inspiratory automatic tube compensation with 5 cm H2O positive end-expiratory pressure (0.60-0.79)>5 cm H2O pressure support ventilation with 5 cm H2O positive end-expiratory pressure (0.53-0.76). Analysis of the classification and regression tree indicated that during the T-piece trial, a SD1 of peak inspiratory flow>3.36 L/min defined a group including all extubation success patients. Conversely, the combination of a SD1 of peak inspiratory flow ≤3.36 L/min and a coefficient of variations of rapid shallow breathing index ≤0.23 defined a group of all extubation failure patients. The decision strategies using SD1 of peak inspiratory flow and coefficient of variations of rapid shallow breathing index measured during 100% inspiratory automatic tube compensation with 5 cm H2O positive end-expiratory pressure and 5 cm H2O pressure support ventilation with 5 cm H2O positive end-expiratory pressure trials achieved a less clear separation of extubation failure from extubation success.
CONCLUSIONS: Since 100% inspiratory automatic tube compensation with 5 cm H2O positive end-expiratory pressure and 5 cm H2O pressure support ventilation with 5 cm H2O positive end-expiratory pressure reduce the predictive performance of breathing pattern variability, breathing pattern variability measurement during the T-piece trial is the best choice for predicting extubation outcome in intensive care unit patients patients.

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Mesh:

Year:  2011        PMID: 21666447     DOI: 10.1097/CCM.0b013e31822279ed

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


  18 in total

1.  Extubation outcome after a successful spontaneous breathing trial: A multicenter validation of a 3-factor prediction model.

Authors:  Yang Liu; Y U Mu; Guo-Qiang Li; Xin Yu; Pei-Jun Li; Zhi-Qi Shen; Hao-Xun Wang; Lu-Qing Wei
Journal:  Exp Ther Med       Date:  2015-08-12       Impact factor: 2.447

2.  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

3.  Identifying Novel Clusters of Patients With Prolonged Mechanical Ventilation Using Trajectories of Rapid Shallow Breathing Index.

Authors:  Tsung-Ming Yang; Lin Chen; Chieh-Mo Lin; Hui-Ling Lin; Tien-Pei Fang; Huiqing Ge; Huabo Cai; Yucai Hong; Zhongheng Zhang
Journal:  Front Med (Lausanne)       Date:  2022-07-04

Review 4.  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

5.  Variability of respiratory mechanics during sleep in overweight and obese subjects with and without asthma.

Authors:  L M Campana; R L Owens; J P Butler; B Suki; A Malhotra
Journal:  Respir Physiol Neurobiol       Date:  2013-03-05       Impact factor: 1.931

6.  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

Review 7.  What is the optimal rate of failed extubation?

Authors:  James S Krinsley; Praveen K Reddy; Abid Iqbal
Journal:  Crit Care       Date:  2012-02-20       Impact factor: 9.097

8.  Very Preterm Infants Failing CPAP Show Signs of Fatigue Immediately after Birth.

Authors:  Melissa L Siew; Jeroen J van Vonderen; Stuart B Hooper; Arjan B te Pas
Journal:  PLoS One       Date:  2015-06-08       Impact factor: 3.240

9.  Do heart and respiratory rate variability improve prediction of extubation outcomes in critically ill patients?

Authors:  Andrew J E Seely; Andrea Bravi; Christophe Herry; Geoffrey Green; André Longtin; Tim Ramsay; Dean Fergusson; Lauralyn McIntyre; Dalibor Kubelik; Donna E Maziak; Niall Ferguson; Samuel M Brown; Sangeeta Mehta; Claudio Martin; Gordon Rubenfeld; Frank J Jacono; Gari Clifford; Anna Fazekas; John Marshall
Journal:  Crit Care       Date:  2014-04-08       Impact factor: 9.097

10.  Electrical activity of the diaphragm (EAdi) as a monitoring parameter in difficult weaning from respirator: a pilot study.

Authors:  Jürgen Barwing; Cristina Pedroni; Ulrike Olgemöller; Michael Quintel; Onnen Moerer
Journal:  Crit Care       Date:  2013-08-28       Impact factor: 9.097

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