Literature DB >> 30446866

Development and validation of an android-based application for anaesthesia neuromuscular monitoring.

Hugo Carvalho1, Michael Verdonck2, Johan Berghmans3, Jan Poelaert4.   

Abstract

Quantitative neuromuscular block (NMB) assessment is an internationally recognised necessity in anesthesia care whenever neuromuscular blocking agents are administered. Despite this, the incidence of residual neuromuscular block and its associated major respiratory morbidity and mortality remain unacceptably high considering its preventable nature. Recent surveys show that quantitative NMB assessment is not consistently employed by anesthesiologists. Availability, price and practical concerns are some of the factors determining this phenomenon. Clinically assess and validate an Android cell phone application conceived specifically for NMB Monitoring in the anesthesia setting. Twenty-two adult ASA I to III patients scheduled to undergo elective surgical procedures under general anaesthesia requiring administration of a neuromuscular blocking agent were included. After anaesthesia induction, the grade of neuromuscular block was assessed at multiple independent time-points by paired comparison of the train of four (TOF) Ratios obtained by a Stimpod™ accelerometer and the currently developed application. Accelerometric measurements were made at the patient's hand after retrograde supramaximal stimulation of the ipsilateral ulnar nerve. TOF-ratios were subjected to bias analysis with 0.001 as the a priori established clinical significance cut-off. The difference between the two methods averaged 0.0004 (95% limits of agreement: ± 0.12), with 83.3% of the differences being under 0.05. This average inter-method difference was not significantly different than the a priori hypothesized difference cut-off of 0.001 (p = 0.78). Lin's concordance correlation coefficient and Pearson's correlation were both of 0.98. The custom developed Android application proved accurate for diagnosis of residual neuromuscular block.

Entities:  

Keywords:  Anaesthesia; Android; App; Cellphone; Mobile application; Neuromuscular monitoring

Mesh:

Substances:

Year:  2018        PMID: 30446866     DOI: 10.1007/s10877-018-0224-2

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


  16 in total

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Authors:  Bertrand Debaene; Benoît Plaud; Marie-Pierre Dilly; François Donati
Journal:  Anesthesiology       Date:  2003-05       Impact factor: 7.892

2.  Comparison of train-of-four count by anesthesia providers versus TOF-Watch® SX: a prospective cohort study.

Authors:  Sanjay M Bhananker; Miriam M Treggiari; Brittany A Sellers; Kevin C Cain; Ramesh Ramaiah; Stephan R Thilen
Journal:  Can J Anaesth       Date:  2015-07-30       Impact factor: 5.063

3.  iPhone accelerometry for monitoring quantitative neuromuscular function.

Authors:  L Kang; P Stewart; S Phillips
Journal:  Anaesthesia       Date:  2016-02       Impact factor: 6.955

Review 4.  Method agreement analysis: a review of correct methodology.

Authors:  P F Watson; A Petrie
Journal:  Theriogenology       Date:  2010-06       Impact factor: 2.740

Review 5.  Residual neuromuscular block: lessons unlearned. Part I: definitions, incidence, and adverse physiologic effects of residual neuromuscular block.

Authors:  Glenn S Murphy; Sorin J Brull
Journal:  Anesth Analg       Date:  2010-05-04       Impact factor: 5.108

6.  Comparison of the TOF-Scan™ acceleromyograph to TOF-Watch SX™: Influence of calibration.

Authors:  Nora Colegrave; Valérie Billard; Cyrus Motamed; Jean-Louis Bourgain
Journal:  Anaesth Crit Care Pain Med       Date:  2016-02-16       Impact factor: 4.132

Review 7.  Neuromuscular monitoring and postoperative residual curarisation: a meta-analysis.

Authors:  M Naguib; A F Kopman; J E Ensor
Journal:  Br J Anaesth       Date:  2007-03       Impact factor: 9.166

8.  A survey of current management of neuromuscular block in the United States and Europe.

Authors:  Mohamed Naguib; Aaron F Kopman; Cynthia A Lien; Jennifer M Hunter; Adriana Lopez; Sorin J Brull
Journal:  Anesth Analg       Date:  2009-11-12       Impact factor: 5.108

9.  Neuromuscular blocking drugs: discovery and development.

Authors:  Thandla Raghavendra
Journal:  J R Soc Med       Date:  2002-07       Impact factor: 18.000

Review 10.  Neuromuscular blockade in the elderly patient.

Authors:  Luis A Lee; Vassilis Athanassoglou; Jaideep J Pandit
Journal:  J Pain Res       Date:  2016-06-17       Impact factor: 3.133

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  2 in total

1.  Repetitive neuromuscular monitoring and stimulating electrode fatigue.

Authors:  Hugo Carvalho; Michael Verdonck; Lieselot Geerts; Panagiotis Flamée; Jan Poelaert
Journal:  J Clin Monit Comput       Date:  2021-01-02       Impact factor: 2.502

2.  Exploratory Outlier Detection for Acceleromyographic Neuromuscular Monitoring: Machine Learning Approach.

Authors:  Michaël Verdonck; Hugo Carvalho; Johan Berghmans; Patrice Forget; Jan Poelaert
Journal:  J Med Internet Res       Date:  2021-05-31       Impact factor: 5.428

  2 in total

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