Literature DB >> 20217151

Is the modified Mallampati test performed in supine position a reliable predictor of difficult tracheal intubation?

Ashish Bindra1, Hemanshu Prabhakar, Gyaninder Pal Singh, Zulfiqar Ali, Vasudha Singhal.   

Abstract

Management of the airway is central to the practice of anesthesia. Several bedside airway assessment methods have been proposed for preoperative identification of patients who are difficult to intubate. The modified Mallampati test (MMT) remains a time-tested technique to date for recognizing an anticipated difficult tracheal intubation as assessed by Cormack-Lehane grade. Both Mallampati and its further modification by Samsoon and Young evaluate patients in the seated position. Recently a study mentioned a change in MMT score from sitting to supine position toward the higher side. However, there is a lack of data regarding the relationship of positional change in MMT with Cormack-Lehane grade. The aim of this prospective study was to assess if MMT score observed in sitting or supine position is a better predictor of difficult tracheal intubation. One hundred and twenty-three patients of ASA physical status I and II, aged 18-60 years, who were scheduled to undergo various neurosurgical procedures were enrolled for the study. We found that the MMT in supine position has a higher positive predictive value and is associated with more true positives as compared to MMT in the sitting position.

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Year:  2010        PMID: 20217151     DOI: 10.1007/s00540-010-0905-6

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


  14 in total

1.  Comparison of two methods for predicting difficult intubation.

Authors:  J D Oates; A D Macleod; P D Oates; F J Pearsall; J C Howie; G D Murray
Journal:  Br J Anaesth       Date:  1991-03       Impact factor: 9.166

2.  A systematic review (meta-analysis) of the accuracy of the Mallampati tests to predict the difficult airway.

Authors:  Anna Lee; Lawrence T Y Fan; Tony Gin; Manoj K Karmakar; Warwick D Ngan Kee
Journal:  Anesth Analg       Date:  2006-06       Impact factor: 5.108

3.  Adverse respiratory events in anesthesia: a closed claims analysis.

Authors:  R A Caplan; K L Posner; R J Ward; F W Cheney
Journal:  Anesthesiology       Date:  1990-05       Impact factor: 7.892

4.  Prediction of difficult tracheal intubation.

Authors:  D Savva
Journal:  Br J Anaesth       Date:  1994-08       Impact factor: 9.166

5.  A clinical sign to predict difficult tracheal intubation: a prospective study.

Authors:  S R Mallampati; S P Gatt; L D Gugino; S P Desai; B Waraksa; D Freiberger; P L Liu
Journal:  Can Anaesth Soc J       Date:  1985-07

6.  A comparison of the upper lip bite test (a simple new technique) with modified Mallampati classification in predicting difficulty in endotracheal intubation: a prospective blinded study.

Authors:  Zahid Hussain Khan; Arash Kashfi; Elham Ebrahimkhani
Journal:  Anesth Analg       Date:  2003-02       Impact factor: 5.108

7.  A comparison of preoperative airway assessment techniques: the modified Mallampati and the upper lip bite test.

Authors:  Christopher Evan Hester; Shelli Ann Dietrich; Samuel Wayne White; Janet A Secrest; Kay Russell Lindgren; Timothy Smith
Journal:  AANA J       Date:  2007-06

8.  Effects of posture, phonation and observer on Mallampati classification.

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Journal:  Br J Anaesth       Date:  1992-01       Impact factor: 9.166

9.  Effect of posture on mouth opening and modified Mallampati classification for airway assessment.

Authors:  Vasudha Singhal; Munish Sharma; Hemanshu Prabhakar; Zulfiqar Ali; Gyaninder P Singh
Journal:  J Anesth       Date:  2009-08-14       Impact factor: 2.078

10.  Adverse respiratory events infrequently leading to malpractice suits. A closed claims analysis.

Authors:  F W Cheney; K L Posner; R A Caplan
Journal:  Anesthesiology       Date:  1991-12       Impact factor: 7.892

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  14 in total

1.  Comment on the article by Bindra A et al.: is the modified Mallampati test performed in supine position a reliable predictor of difficult tracheal intubation?

Authors:  Milan Adamus
Journal:  J Anesth       Date:  2010-11-05       Impact factor: 2.078

2.  Laryngeal injuries following endotracheal intubation in ENT surgery: predictive value of anatomical scores.

Authors:  Arne Böttcher; Thomas Mencke; Amelie Zitzmann; Rainald Knecht; Nathan Jowett; Gabriele Nöldge-Schomburg; Hans Wilhelm Pau; Steffen Dommerich
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-08-29       Impact factor: 2.503

3. 

Authors:  Berrin Günaydın; Ömer Kurtipek
Journal:  Turk J Anaesthesiol Reanim       Date:  2018-06-01

Review 4.  Obstructive Sleep Apnoea in Pregnancy - More Questions than Answers.

Authors:  Soha Patel; Judette M Louis
Journal:  Eur Endocrinol       Date:  2013-08-23

5.  [Update Mallampati : Theoretical and practical knowledge of European anesthetists on basic evaluation of airways].

Authors:  H Ilper; C Franz-Jäger; C Byhahn; M Klages; H H Ackermann; K Zacharowski; T Kunz
Journal:  Anaesthesist       Date:  2018-08-31       Impact factor: 1.041

6.  A Prospective Study to Correlate Difficult Intubation with Difficult Laryngeal Exposure for Microlaryngeal Surgery using Various Grading Scales of Difficult Intubation.

Authors:  Nupur Kapoor Nerurkar; Anupriya Hajela; Asitama Sarkar; Pradnya Kulkarni
Journal:  Indian J Otolaryngol Head Neck Surg       Date:  2022-05-16

7.  A Study to Evaluate Changes in Modified Mallampati Class in Patients Undergoing Spine Surgery in Prone Position.

Authors:  Mamta Jain; Jatin Lal; Diya Aggrawal; Jyoti Sharma; Anish K Singh; Teena Bansal
Journal:  Cureus       Date:  2022-06-08

8.  Comparison of Mallampati test in sitting position and in supine position for prediction of difficult tracheal intubation among adult patients who underwent surgery under general anesthesia at Addis Ababa governmental hospitals 2021, comparative cross-sectional study.

Authors:  Zekarias Markos; Eyayalem Melese; Lemlem Getachew; Lidya Haddis
Journal:  Ann Med Surg (Lond)       Date:  2022-09-17

9.  Creation of an artificial intelligence model for intubation difficulty classification by deep learning (convolutional neural network) using face images: an observational study.

Authors:  Tatsuya Hayasaka; Kazuharu Kawano; Kazuki Kurihara; Hiroto Suzuki; Masaki Nakane; Kaneyuki Kawamae
Journal:  J Intensive Care       Date:  2021-05-06

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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