Literature DB >> 10551962

Weaning from mechanical ventilation: a model for extubation.

A A Zeggwagh1, R Abouqal, N Madani, A Zekraoui, O Kerkeb.   

Abstract

OBJECTIVE: To develop a model able to determine the right time for extubation and to validate its performance. paragraph sign
DESIGN: A prospective clinical study.
SETTING: 14-bed medical intensive care unit in a university hospital. PATIENTS: 101 patients (37 women/64 men) ventilated over more than 48 h (mean 10.4 +/- 10.3 days) and considered ready to be weaned by the medical team (February 1996-February 1998).
METHODS: This study included two series: a development series with 53 patients and a validation series with 48 patients. Before extubation, a weaning test was performed measuring tidal volume (V(T)), respiratory rate (f), f/V(T) ratio, minute ventilation, vital capacity (VC) and maximum inspiratory and expiratory pressures (MIP and MEP). The success of extubation was assessed after 48 h. Receiver operating characteristic (ROC) curves allowed the analysis of the discriminating power of each parameter. Threshold values were determined using the Youden's index. To create the best predictive model, we performed a multiple logistic regression analysis. To assess the calibration and the discrimination of the model, the Hosmer- Lemeshow goodness-of-fit test and area under ROC curves (AUC) were adopted. MEASUREMENTS AND
RESULTS: In a development series, 60 tests were carried out with 38 successful extubations and 22 extubation failures. The multivariate analysis found three significant variables: VC (threshold value = 635 ml), f/V(T) ratio (threshold value = 88 breaths/min.l) and MEP (threshold value = 28 cmH(2)O). The validation cohort included 59 tests (38 successes and 21 failures). The validation series shows a good discrimination (AUC = 0.855 +/- 0.059) and calibration (goodness-of-fit test C: p = 0.224) of the model.
CONCLUSION: VC together with the f/V(T) ratio and MEP offer accurate prediction of early extubation.

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Year:  1999        PMID: 10551962     DOI: 10.1007/s001340051015

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  12 in total

Review 1.  Variable performance of weaning-predictor tests: role of Bayes' theorem and spectrum and test-referral bias.

Authors:  Martin J Tobin; Amal Jubran
Journal:  Intensive Care Med       Date:  2006-11-08       Impact factor: 17.440

Review 2.  Managing the apparent and hidden difficulties of weaning from mechanical ventilation.

Authors:  Andreas Perren; Laurent Brochard
Journal:  Intensive Care Med       Date:  2013-07-18       Impact factor: 17.440

3.  A prospective, blinded evaluation of indexes proposed to predict weaning from mechanical ventilation.

Authors:  Giorgio Conti; Luca Montini; Mariano Alberto Pennisi; Franco Cavaliere; Andrea Arcangeli; Maria Grazia Bocci; Rodolfo Proietti; Massimo Antonelli
Journal:  Intensive Care Med       Date:  2004-03-20       Impact factor: 17.440

4.  The combination of the load/force balance and the frequency/tidal volume can predict weaning outcome.

Authors:  Theodoros Vassilakopoulos; Christina Routsi; Christina Sotiropoulou; Charis Bitsakou; Ioannis Stanopoulos; Charis Roussos; Spyros Zakynthinos
Journal:  Intensive Care Med       Date:  2006-03-07       Impact factor: 17.440

5.  The prediction of extubation success of postoperative neurosurgical patients using frequency-tidal volume ratios.

Authors:  Milena C Vidotto; Luciana C M Sogame; Christiane C Calciolari; Oliver A Nascimento; José R Jardim
Journal:  Neurocrit Care       Date:  2008       Impact factor: 3.210

6.  Economic variations in patterns of care and outcomes of patients receiving invasive mechanical ventilation in China: a national cross-sectional survey.

Authors:  Ling Liu; Zhiwei Gao; Yi Yang; Maoqin Li; Xinwei Mu; Xiaochun Ma; Guicheng Li; Wen Sun; Xue Wang; Qin Gu; Ruiqiang Zheng; Hongsheng Zhao; Jianfeng Xie; Haibo Qiu
Journal:  J Thorac Dis       Date:  2019-07       Impact factor: 2.895

7.  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

8.  A pilot study of a new test to predict extubation failure.

Authors:  José F Solsona; Yolanda Díaz; Antonia Vázquez; Maria Pilar Gracia; Ana Zapatero; Jaume Marrugat
Journal:  Crit Care       Date:  2009-04-14       Impact factor: 9.097

9.  Mechanical ventilation in the ICU--is there a gap between the time available and time used for nurse-led weaning?

Authors:  Britt Saetre Hansen; Wenche Torunn Mathiesen Fjaelberg; Odd Bjarte Nilsen; Hans Morten Lossius; Eldar Søreide
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2008-12-02       Impact factor: 2.953

10.  Practice Variation in Spontaneous Breathing Trial Performance and Reporting.

Authors:  Stephanie Godard; Christophe Herry; Paul Westergaard; Nathan Scales; Samuel M Brown; Karen Burns; Sangeeta Mehta; Frank J Jacono; Dalibor Kubelik; Donna E Maziak; John Marshall; Claudio Martin; Andrew J E Seely
Journal:  Can Respir J       Date:  2016-03-29       Impact factor: 2.409

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