Literature DB >> 23584572

Respiratory parameters as a surrogate marker for duration of intubation: potential application of automated vital sign collection.

Doug Hester1, Stuart McGrane, Michael S Higgins.   

Abstract

Prolonged time during endotracheal tube placement has been associated with poor outcomes, including cardiac arrest and death. For this reason, the accurate measurement of the duration of intubation time is an important metric in studies that evaluate interventions to improve airway outcomes. In the current study we correlated the gaps in routinely measured ventilatory parameters with duration of the intubation procedure to determine if these intervals could be used to accurately calculate the intubation time. Fifty-six random airway management encounters were video recorded along with a continuous video feed of the patient monitor. Intubation event times were measured and correlated with "gap" times of end-tidal carbon dioxide, airway pressure, airway flow, tidal volume, and respiratory rate defined as the disappearance of the parameter at the end of mask ventilation to the reappearance after intubation. Scatter plots were generated for intubation times versus each parameter time gap and correlation coefficients were calculated. Of the 56 recordings 50 of were suitable for analysis. The correlation of the gaps in airway pressure and airway flow correlated best with the duration of intubation (R(2) = 0.88) and were available on all cases. The gap in measured tidal volume of 39 ± 53 s most closely approximated the actual duration of intubation of 38 ± 28 s, (R(2) = 0.85, y = x - 0.87). During intubation, the disappearance gaps in tidal volume, and the airway pressure and flow waveforms highly correlate with the duration of the intubation procedure and may be useful in the evaluation of airway management interventions. However, just as there are limitations to a labor-intensive method of recording airway management timing, there are limitations to using an automated method.

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Year:  2013        PMID: 23584572     DOI: 10.1007/s10877-013-9464-3

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  14 in total

1.  Prediction of difficult mask ventilation.

Authors:  O Langeron; E Masso; C Huraux; M Guggiari; A Bianchi; P Coriat; B Riou
Journal:  Anesthesiology       Date:  2000-05       Impact factor: 7.892

2.  Fiberoptic orotracheal intubation on anesthetized patients: do manipulation skills learned on a simple model transfer into the operating room?

Authors:  V N Naik; E D Matsumoto; P L Houston; S J Hamstra; R Y Yeung; J S Mallon; T M Martire
Journal:  Anesthesiology       Date:  2001-08       Impact factor: 7.892

3.  The construction of learning curves for basic skills in anesthetic procedures: an application for the cumulative sum method.

Authors:  Getúlio Rodrigues de Oliveira Filho
Journal:  Anesth Analg       Date:  2002-08       Impact factor: 5.108

4.  Expected difficult tracheal intubation: a prospective comparison of direct laryngoscopy and video laryngoscopy in 200 patients.

Authors:  A Jungbauer; M Schumann; V Brunkhorst; A Börgers; H Groeben
Journal:  Br J Anaesth       Date:  2009-02-20       Impact factor: 9.166

5.  A prospective, randomised, cross-over trial comparing the EndoFlex and standard tracheal tubes in patients with predicted easy intubation.

Authors:  W H L Teoh; A T H Sia; W L L Fun
Journal:  Anaesthesia       Date:  2009-11       Impact factor: 6.955

6.  Comparison of blind tracheal intubation through the intubating laryngeal mask airway (LMA Fastrach™) and the Air-Q™.

Authors:  Y M Karim; D E Swanson
Journal:  Anaesthesia       Date:  2011-03       Impact factor: 6.955

7.  The GlideScope Video Laryngoscope: randomized clinical trial in 200 patients.

Authors:  D A Sun; C B Warriner; D G Parsons; R Klein; H S Umedaly; M Moult
Journal:  Br J Anaesth       Date:  2004-11-26       Impact factor: 9.166

8.  Management of the difficult airway: a closed claims analysis.

Authors:  Gene N Peterson; Karen B Domino; Robert A Caplan; Karen L Posner; Lorri A Lee; Frederick W Cheney
Journal:  Anesthesiology       Date:  2005-07       Impact factor: 7.892

9.  An evaluation of a virtual reality airway simulator.

Authors:  Richard Rowe; Ronald A Cohen
Journal:  Anesth Analg       Date:  2002-07       Impact factor: 5.108

10.  Comparison of intubation success of video laryngoscopy versus direct laryngoscopy in the difficult airway using high-fidelity simulation.

Authors:  Aneesh T Narang; Paula F Oldeg; Ron Medzon; Ahmed R Mahmood; Jordan A Spector; Derek A Robinett
Journal:  Simul Healthc       Date:  2009       Impact factor: 1.929

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