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Development and validation of an android-based application for anaesthesia neuromuscular monitoring
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 una...
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Published in: | Journal of clinical monitoring and computing 2019-10, Vol.33 (5), p.863-870 |
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description | 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. |
doi_str_mv | 10.1007/s10877-018-0224-2 |
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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.</description><identifier>ISSN: 1387-1307</identifier><identifier>EISSN: 1573-2614</identifier><identifier>DOI: 10.1007/s10877-018-0224-2</identifier><identifier>PMID: 30446866</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Accelerometers ; Accelerometry ; Androstanols - administration & dosage ; Anesthesia ; Anesthesia, General ; Anesthesiology ; Blocking ; Correlation coefficients ; Critical Care Medicine ; Delayed Emergence from Anesthesia - diagnosis ; Female ; Health Sciences ; Humans ; Intensive ; Longitudinal Studies ; Male ; Medicine ; Medicine & Public Health ; Mobile Applications ; Monitoring ; Monitoring, Intraoperative - instrumentation ; Monitoring, Intraoperative - methods ; Neuromuscular Blockade - methods ; Neuromuscular Monitoring - methods ; Neuromuscular Nondepolarizing Agents - administration & dosage ; Original Research ; Prospective Studies ; Reproducibility of Results ; Smartphone ; Smartphones ; Statistics for Life Sciences ; User-Computer Interface</subject><ispartof>Journal of clinical monitoring and computing, 2019-10, Vol.33 (5), p.863-870</ispartof><rights>Springer Nature B.V. 2018</rights><rights>Journal of Clinical Monitoring and Computing is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-3a772b8891802f1544e111d14fbcf45bb9019242eb6079a8da25c965bb86873f3</citedby><cites>FETCH-LOGICAL-c372t-3a772b8891802f1544e111d14fbcf45bb9019242eb6079a8da25c965bb86873f3</cites><orcidid>0000-0002-3835-562X ; 0000-0002-5784-5480 ; 0000-0002-0065-2899</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30446866$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Carvalho, Hugo</creatorcontrib><creatorcontrib>Verdonck, Michael</creatorcontrib><creatorcontrib>Berghmans, Johan</creatorcontrib><creatorcontrib>Poelaert, Jan</creatorcontrib><title>Development and validation of an android-based application for anaesthesia neuromuscular monitoring</title><title>Journal of clinical monitoring and computing</title><addtitle>J Clin Monit Comput</addtitle><addtitle>J Clin Monit Comput</addtitle><description>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.</description><subject>Accelerometers</subject><subject>Accelerometry</subject><subject>Androstanols - administration & dosage</subject><subject>Anesthesia</subject><subject>Anesthesia, General</subject><subject>Anesthesiology</subject><subject>Blocking</subject><subject>Correlation coefficients</subject><subject>Critical Care Medicine</subject><subject>Delayed Emergence from Anesthesia - diagnosis</subject><subject>Female</subject><subject>Health Sciences</subject><subject>Humans</subject><subject>Intensive</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mobile Applications</subject><subject>Monitoring</subject><subject>Monitoring, Intraoperative - instrumentation</subject><subject>Monitoring, Intraoperative - methods</subject><subject>Neuromuscular Blockade - methods</subject><subject>Neuromuscular Monitoring - methods</subject><subject>Neuromuscular Nondepolarizing Agents - administration & dosage</subject><subject>Original Research</subject><subject>Prospective Studies</subject><subject>Reproducibility of Results</subject><subject>Smartphone</subject><subject>Smartphones</subject><subject>Statistics for Life Sciences</subject><subject>User-Computer Interface</subject><issn>1387-1307</issn><issn>1573-2614</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kUtLxDAUhYMozjj6A9xIwY2baG6SNulSxicMuNF1SNtUM7RNTdoB_70p9QGCq4R7vvvgHIROgVwCIeIqAJFCYAISE0o5pntoCalgmGbA9-OfSYGBEbFARyFsCSG5ZHCIFoxwnsksW6LyxuxM4_rWdEOiuyrZ6cZWerCuS1wdK1PRO1vhQgdTJbrvG1vOeu18VLUJw5sJViedGb1rx1COjfZJ6zo7OG-712N0UOsmmJOvd4Ve7m6f1w9483T_uL7e4JIJOmCmhaCFlDlIQmtIOTcAUAGvi7LmaVHkBHLKqSkyInItK03TMs-iIDMpWM1W6GKe23v3PsazVGtDaZpGd8aNQVFgKVAabYjo-R9060bfxesmikdbWZpHCmaq9C4Eb2rVe9tq_6GAqCkBNSegYgJqSkDR2HP2NXksWlP9dHxbHgE6A6GfzDH-d_X_Uz8BpfmQ5A</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>Carvalho, Hugo</creator><creator>Verdonck, Michael</creator><creator>Berghmans, Johan</creator><creator>Poelaert, Jan</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7SC</scope><scope>7SP</scope><scope>7U5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3835-562X</orcidid><orcidid>https://orcid.org/0000-0002-5784-5480</orcidid><orcidid>https://orcid.org/0000-0002-0065-2899</orcidid></search><sort><creationdate>20191001</creationdate><title>Development and validation of an android-based application for anaesthesia neuromuscular monitoring</title><author>Carvalho, Hugo ; Verdonck, Michael ; Berghmans, Johan ; Poelaert, Jan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-3a772b8891802f1544e111d14fbcf45bb9019242eb6079a8da25c965bb86873f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Accelerometers</topic><topic>Accelerometry</topic><topic>Androstanols - administration & dosage</topic><topic>Anesthesia</topic><topic>Anesthesia, General</topic><topic>Anesthesiology</topic><topic>Blocking</topic><topic>Correlation coefficients</topic><topic>Critical Care Medicine</topic><topic>Delayed Emergence from Anesthesia - diagnosis</topic><topic>Female</topic><topic>Health Sciences</topic><topic>Humans</topic><topic>Intensive</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mobile Applications</topic><topic>Monitoring</topic><topic>Monitoring, Intraoperative - instrumentation</topic><topic>Monitoring, Intraoperative - methods</topic><topic>Neuromuscular Blockade - methods</topic><topic>Neuromuscular Monitoring - methods</topic><topic>Neuromuscular Nondepolarizing Agents - administration & dosage</topic><topic>Original Research</topic><topic>Prospective Studies</topic><topic>Reproducibility of Results</topic><topic>Smartphone</topic><topic>Smartphones</topic><topic>Statistics for Life Sciences</topic><topic>User-Computer Interface</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carvalho, Hugo</creatorcontrib><creatorcontrib>Verdonck, Michael</creatorcontrib><creatorcontrib>Berghmans, Johan</creatorcontrib><creatorcontrib>Poelaert, Jan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical monitoring and computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carvalho, Hugo</au><au>Verdonck, Michael</au><au>Berghmans, Johan</au><au>Poelaert, Jan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development and validation of an android-based application for anaesthesia neuromuscular monitoring</atitle><jtitle>Journal of clinical monitoring and computing</jtitle><stitle>J Clin Monit Comput</stitle><addtitle>J Clin Monit Comput</addtitle><date>2019-10-01</date><risdate>2019</risdate><volume>33</volume><issue>5</issue><spage>863</spage><epage>870</epage><pages>863-870</pages><issn>1387-1307</issn><eissn>1573-2614</eissn><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.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>30446866</pmid><doi>10.1007/s10877-018-0224-2</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-3835-562X</orcidid><orcidid>https://orcid.org/0000-0002-5784-5480</orcidid><orcidid>https://orcid.org/0000-0002-0065-2899</orcidid></addata></record> |
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subjects | Accelerometers Accelerometry Androstanols - administration & dosage Anesthesia Anesthesia, General Anesthesiology Blocking Correlation coefficients Critical Care Medicine Delayed Emergence from Anesthesia - diagnosis Female Health Sciences Humans Intensive Longitudinal Studies Male Medicine Medicine & Public Health Mobile Applications Monitoring Monitoring, Intraoperative - instrumentation Monitoring, Intraoperative - methods Neuromuscular Blockade - methods Neuromuscular Monitoring - methods Neuromuscular Nondepolarizing Agents - administration & dosage Original Research Prospective Studies Reproducibility of Results Smartphone Smartphones Statistics for Life Sciences User-Computer Interface |
title | Development and validation of an android-based application for anaesthesia neuromuscular monitoring |
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