Literature DB >> 20299983

A simplified risk score to predict difficult intubation: development and prospective evaluation in 3763 patients.

Leopold H J Eberhart1, Christian Arndt, Hans-Jörg Aust, Peter Kranke, Martin Zoremba, Astrid Morin.   

Abstract

BACKGROUND AND
OBJECTIVE: Despite the presence of numerous preoperative tests to predict a difficult airway, there is no reliable bedside method. The aim of this study was to create and verify a simplified risk model with an acceptable discriminating power.
METHODS: A total of 3763 patients from two university hospitals were screened for potential risk factors for difficult intubation, defined as needing additional technical or human resources, more than three attempts or duration more than 10 min. A random sample (n = 2509) was subjected to multivariate stepwise logistic regression analysis, and the most powerful independent risk factors were used to build a simplified model that was applied to a validation dataset (n = 1254).
RESULTS: The following factors (odds ratio) were associated with a difficult intubation: presence of upper front teeth (3.61), history of difficult intubation (2.88), any Mallampati status different from '1' (2.55) or equal to '4' (1.91) and mouth opening less than 4 cm (1.80). The discriminating power of the score was 0.72 (95% confidence interval 0.63-0.81). The likelihood for a difficult intubation increases continuously from 0 (when no risk factor is present) to 2, 4, 8 and 17%, when one, two, three and more than three factors are present.
CONCLUSION: The new simplified multivariate risk score for difficult intubation may prove to be useful in clinical practice for predicting a difficult airway. Presence of upper front teeth, a history of difficult intubation, any Mallampati status different from '1' and equal to '4' and mouth opening less than 4 cm are independent risk factors for difficult endotracheal intubation. With each of these risk factors, the likelihood increases from 0 (when no risk factor is present) to 17% (when four or five factors are present).

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Year:  2010        PMID: 20299983     DOI: 10.1097/EJA.0b013e328338883c

Source DB:  PubMed          Journal:  Eur J Anaesthesiol        ISSN: 0265-0215            Impact factor:   4.330


  6 in total

1.  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

2.  How to Predict Difficult Tracheal Intubation: The Application of Acromio-axillo-suprasternal Notch Index.

Authors:  Mohammad Nasr-Esfahani; Azim Honarmand; Seyed Mohammadreza Safavi; Motahareh Anvari Tafti
Journal:  Adv Biomed Res       Date:  2020-05-29

3.  Comparing epidural surgical anesthesia and spinal anesthesia following epidural labor analgesia for intrapartum cesarean section: a prospective randomized controlled trial.

Authors:  Hea-Jo Yoon; Sang-Hwan Do; Yeo Jin Yun
Journal:  Korean J Anesthesiol       Date:  2017-04-06

4.  A randomized controlled comparison of non-channeled king vision, McGrath MAC video laryngoscope and Macintosh direct laryngoscope for nasotracheal intubation in patients with predicted difficult intubations.

Authors:  Haozhen Zhu; Jinxing Liu; Lulu Suo; Chi Zhou; Yu Sun; Hong Jiang
Journal:  BMC Anesthesiol       Date:  2019-08-31       Impact factor: 2.217

5.  The effect of brief pre-anesthetic exercise therapy of jaw and neck joints on mouth opening, neck extension, and intubation conditions during induction of general anesthesia: a randomized controlled trial.

Authors:  Sue Young Lee; Sung Il Bae; Sang-Hwan Do; Ju-Tae Sohn; Jin-Woo Park
Journal:  BMC Anesthesiol       Date:  2020-01-29       Impact factor: 2.217

6.  The difficult airway with recommendations for management--part 2--the anticipated difficult airway.

Authors:  J Adam Law; Natasha Broemling; Richard M Cooper; Pierre Drolet; Laura V Duggan; Donald E Griesdale; Orlando R Hung; Philip M Jones; George Kovacs; Simon Massey; Ian R Morris; Timothy Mullen; Michael F Murphy; Roanne Preston; Viren N Naik; Jeanette Scott; Shean Stacey; Timothy P Turkstra; David T Wong
Journal:  Can J Anaesth       Date:  2013-10-17       Impact factor: 5.063

  6 in total

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