Literature DB >> 15674508

The incidence and risk factors of difficult mask ventilation.

Tulay Sahin Yildiz1, Mine Solak, Kamil Toker.   

Abstract

PURPOSE: The ability to ventilate and oxygenate a patient using a bag-mask breathing system may be lifesaving in the case of failure of the initial intubation attempt. In this study, we aimed to determine the incidence of difficult mask ventilation (DMV) and to find preoperative risk factors for this procedure.
METHODS: Based on methods used for overcoming some difficulties with bag-mask ventilation (MV), classification has been made into four categories: easy MV, awkward MV, difficult MV, and impossible MV. A univariate analysis was performed to identify potential risk factors predicting DMV, followed by a stepwise forward binary logistic regression, and the odds ratio and 95% confidence interval were calculated.
RESULTS: A total of 576 patients were studied. Incidence of easy MV, awkward MV, and difficult MV were found to be 75.5% (n = 435), 16.7% (n = 96), and 7.8% (n = 45), respectively. Height, weight, age, male gender, increased Mallampati class, history of snoring, lack of teeth, and beard were found to be DMV risk factors (P < 0.05). Using a multivariate analysis, Mallampati class 4, male, history of snoring, age, and weight were found to be significantly associated with DMV. Although the incidence of DMV in general was 7.8% (n = 45), the incidence of DMV among patients with difficult intubation (n = 123) was found to be 15.5% (n = 19).
CONCLUSIONS: Mallampati class 4, male patients, history of snoring, increasing age, and increasing weight were found to be risk factors for DMV in our study.

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Year:  2005        PMID: 15674508     DOI: 10.1007/s00540-004-0275-z

Source DB:  PubMed          Journal:  J Anesth        ISSN: 0913-8668            Impact factor:   2.078


  26 in total

1.  Does difficult mask ventilation predict obstructive sleep apnea? A prospective pilot study to identify the prevalence of osa in patients with difficult mask ventilation under general anesthesia.

Authors:  Anthony R Plunkett; Brian C McLean; Daren Brooks; Mary T Plunkett; Jeffrey A Mikita
Journal:  J Clin Sleep Med       Date:  2011-10-15       Impact factor: 4.062

Review 2.  Strategies for difficult airway management--the current state is not ideal.

Authors:  Takashi Asai
Journal:  J Anesth       Date:  2012-12-05       Impact factor: 2.078

3.  Anticipation of the difficult airway: preoperative airway assessment, an educational and quality improvement tool.

Authors:  D Cattano; P V Killoran; D Iannucci; V Maddukuri; A V Altamirano; S Sridhar; C Seitan; Z Chen; C A Hagberg
Journal:  Br J Anaesth       Date:  2013-03-06       Impact factor: 9.166

4.  Correlation of Neck Circumference with Difficult Mask Ventilation and Difficult Laryngoscopy in Morbidly Obese Patients: an Observational Study.

Authors:  Aylin Özdilek; Cigdem Akyol Beyoglu; Şafak Emre Erbabacan; Birsel Ekici; Fatiş Altındaş; Suphi Vehid; Güniz Meyancı Köksal
Journal:  Obes Surg       Date:  2018-09       Impact factor: 4.129

5.  The influence of morbid obesity on difficult intubation and difficult mask ventilation.

Authors:  Tiffany S Moon; Pamela E Fox; Alwin Somasundaram; Abu Minhajuddin; Michael X Gonzales; Taylor J Pak; Babatunde Ogunnaike
Journal:  J Anesth       Date:  2019-01-08       Impact factor: 2.078

6.  The LMA CTrach™ in morbidly obese and lean patients undergoing gynecological procedures: a comparative study.

Authors:  Tulay Sahin Yildiz; Dilek Ozdamar; Ipek Arslan; Mine Solak; Kamil Toker
Journal:  J Anesth       Date:  2010-10-01       Impact factor: 2.078

7.  Effect of metronome rates on the quality of bag-mask ventilation during metronome-guided 30:2 cardiopulmonary resuscitation: A randomized simulation study.

Authors:  Ji Ung Na; Sang Kuk Han; Pil Cho Choi; Dong Hyuk Shin
Journal:  World J Emerg Med       Date:  2017

8.  Canadian Airway Focus Group updated consensus-based recommendations for management of the difficult airway: part 2. Planning and implementing safe management of the patient with an anticipated difficult airway.

Authors:  J Adam Law; Laura V Duggan; Mathieu Asselin; Paul Baker; Edward Crosby; Andrew Downey; Orlando R Hung; George Kovacs; François Lemay; Rudiger Noppens; Matteo Parotto; Roanne Preston; Nick Sowers; Kathryn Sparrow; Timothy P Turkstra; David T Wong; Philip M Jones
Journal:  Can J Anaesth       Date:  2021-06-08       Impact factor: 5.063

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

Authors:  Mahmoud Saghaei; Hamid Shetabi; Mohammad Golparvar
Journal:  Adv Biomed Res       Date:  2012-05-11

Review 10.  Airway physical examination tests for detection of difficult airway management in apparently normal adult patients.

Authors:  Dominik Roth; Nathan L Pace; Anna Lee; Karen Hovhannisyan; Alexandra-Maria Warenits; Jasmin Arrich; Harald Herkner
Journal:  Cochrane Database Syst Rev       Date:  2018-05-15
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