Predicting efficiency of post-induction mask ventilation based on demographic and anatomical factors

Background: Failure to ventilate patients by mask leads to serious complications especially if associated with difficult intubation. Previous studies have used subjective and indirect measures to evaluate difficulty in mask ventilation, which are associated with high inter-observer discrepancies. In...

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Main Authors: Mahmoud Saghaei, Hamid Shetabi, Mohammad Golparvar
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2012-01-01
Series:Advanced Biomedical Research
Subjects:
Online Access:http://www.advbiores.net/article.asp?issn=2277-9175;year=2012;volume=1;issue=1;spage=10;epage=10;aulast=Saghaei
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spelling doaj-7c7ea8b34fc24425b26c224f0e8fb8072020-11-25T01:38:30ZengWolters Kluwer Medknow PublicationsAdvanced Biomedical Research2277-91752277-91752012-01-0111101010.4103/2277-9175.96056Predicting efficiency of post-induction mask ventilation based on demographic and anatomical factorsMahmoud SaghaeiHamid ShetabiMohammad GolparvarBackground: Failure to ventilate patients by mask leads to serious complications especially if associated with difficult intubation. Previous studies have used subjective and indirect measures to evaluate difficulty in mask ventilation, which are associated with high inter-observer discrepancies. In this study, we have defined and used efficiency of mask ventilation (EMV) as an objective and direct surrogate for ease of mask ventilation in patients undergoing GA and mask ventilation using neuromuscular relaxation. Materials and Methods: 1050 adult patients prospectively were evaluated with respect to different patients demographic and physical factors and EMV. EMV was defined as the ratio of minute ventilation via anesthesia mask to that via tracheal tube expressed as percentage. Edentolous patients were ventilated using lip-over-mask techniques. Separate analyses were done for edentolous and non-edentolous patients. Results: EMV in edentolous patients (n=269) using the lip-over-mask method was relatively high (90.9 ± 14.3%, 60.14-128.57 range). The result of multiple regression analysis in patients with normal denture determined receded chin, presence of beard, male gender, high Mallampati classes, high neck circumference, low inter-incisors gap, and old age as independent factors for estimating EMV. A regression formula for predicting EMV was developed which had an acceptable R-square value with a good model fit. Conclusions: Using EMV is an easy and reliable tool for measuring efficiency of mask ventilation. Based on the result of this study, EMV can be estimated from patient′s demographic and physical factors. In edentolous patients, using the lip-over-mask method results in adequate ventilation of lungs.http://www.advbiores.net/article.asp?issn=2277-9175;year=2012;volume=1;issue=1;spage=10;epage=10;aulast=SaghaeiAnesthesia complicationsdifficult mask ventilationefficiency of mask ventilationmultiple regression analysis
collection DOAJ
language English
format Article
sources DOAJ
author Mahmoud Saghaei
Hamid Shetabi
Mohammad Golparvar
spellingShingle Mahmoud Saghaei
Hamid Shetabi
Mohammad Golparvar
Predicting efficiency of post-induction mask ventilation based on demographic and anatomical factors
Advanced Biomedical Research
Anesthesia complications
difficult mask ventilation
efficiency of mask ventilation
multiple regression analysis
author_facet Mahmoud Saghaei
Hamid Shetabi
Mohammad Golparvar
author_sort Mahmoud Saghaei
title Predicting efficiency of post-induction mask ventilation based on demographic and anatomical factors
title_short Predicting efficiency of post-induction mask ventilation based on demographic and anatomical factors
title_full Predicting efficiency of post-induction mask ventilation based on demographic and anatomical factors
title_fullStr Predicting efficiency of post-induction mask ventilation based on demographic and anatomical factors
title_full_unstemmed Predicting efficiency of post-induction mask ventilation based on demographic and anatomical factors
title_sort predicting efficiency of post-induction mask ventilation based on demographic and anatomical factors
publisher Wolters Kluwer Medknow Publications
series Advanced Biomedical Research
issn 2277-9175
2277-9175
publishDate 2012-01-01
description Background: Failure to ventilate patients by mask leads to serious complications especially if associated with difficult intubation. Previous studies have used subjective and indirect measures to evaluate difficulty in mask ventilation, which are associated with high inter-observer discrepancies. In this study, we have defined and used efficiency of mask ventilation (EMV) as an objective and direct surrogate for ease of mask ventilation in patients undergoing GA and mask ventilation using neuromuscular relaxation. Materials and Methods: 1050 adult patients prospectively were evaluated with respect to different patients demographic and physical factors and EMV. EMV was defined as the ratio of minute ventilation via anesthesia mask to that via tracheal tube expressed as percentage. Edentolous patients were ventilated using lip-over-mask techniques. Separate analyses were done for edentolous and non-edentolous patients. Results: EMV in edentolous patients (n=269) using the lip-over-mask method was relatively high (90.9 ± 14.3%, 60.14-128.57 range). The result of multiple regression analysis in patients with normal denture determined receded chin, presence of beard, male gender, high Mallampati classes, high neck circumference, low inter-incisors gap, and old age as independent factors for estimating EMV. A regression formula for predicting EMV was developed which had an acceptable R-square value with a good model fit. Conclusions: Using EMV is an easy and reliable tool for measuring efficiency of mask ventilation. Based on the result of this study, EMV can be estimated from patient′s demographic and physical factors. In edentolous patients, using the lip-over-mask method results in adequate ventilation of lungs.
topic Anesthesia complications
difficult mask ventilation
efficiency of mask ventilation
multiple regression analysis
url http://www.advbiores.net/article.asp?issn=2277-9175;year=2012;volume=1;issue=1;spage=10;epage=10;aulast=Saghaei
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AT hamidshetabi predictingefficiencyofpostinductionmaskventilationbasedondemographicandanatomicalfactors
AT mohammadgolparvar predictingefficiencyofpostinductionmaskventilationbasedondemographicandanatomicalfactors
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