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THE PREDICTION OF DIFFICULT INTUBATION WITH BEDSIDE SCORING SYSTEMS

Year 2003, Volume: 16 Issue: 1, 16 - 19, 03.12.2016

Abstract

Objective: The aim of this study was to evaluate the correlation of sex, age, bedside scoring systems and body mass index with laryngoscopic view in patients with clinically difficult intubation.
Methods: Five hundred patients, aged 20-70 years, were included in the study. The age, sex, weight and height of the patients were recorded preoperatively and body mass index was calculated. The patients were examined for Mallampati classification, thyromental distance, mouth opening, neck mobility and structure of maxillary teeth, and scored according to airway difficulty score. The body mass index was scored as an additional parameter. During laryngoscopy, Cormack-Lehane grading was done according to the view of the glottis. Three or more attempts required for intubation and / or more than 10 minutes time spent was accepted as difficult airway. For statistical analysis; oneway of ANOVA with post-hoc Tukey and Chi-square test were used and p<0.05 was accepted as statistically significant.
Results: Thirty-three of 500 patients (6.6%) had difficult intubation. A significant correlation was found between clinically difficult intubation and thyromental distance (p<0.05), Mallampati classification (p<0.01) and mouth opening (p<0.01). Also, Cormack-Lehane grading was found to be correlated with thyromental distance
(p<0.05), Mallampati classification (p<0.05) and mouth opening (p<0.05).
Conclusion: The difficult intubation was found to be correlated with Mallampati classification, thyromental distance and mouth opening.
Key words: Intubation (Intratracheal), Difficult

References

  • Mallampati SR. Clinical assessment of the airway. Anesthesiol Clin north Am 1995; 13: 301-307.
  • Janssens M, Larry M. Airway difficulty score (ADS): a new score to predict difficulty in airway management. Eur J Anaesthesiol 2000,17:35, Abstract I 13.
  • Mallampati SR, Qatt SF, Qugino LD. A clinical sign to predict difficult tracheal intubation: a prospective study. Can Anaesth Soc J 1985;32:429-434.
  • Janssens M, Hartstein G. Management of difficult intubation. Euro J Anaesthesiol 2001,18:3-12.
  • George E, llaspcl RL. The difficult airway, hit Anesthesiol Clin 2000;38:47-63.
  • Randell T. Prediction of difficult intubation. Acta Anaesthesiol Scand 1998;42:136-137.
  • Rose DK, Cohen MM. The airway : problems and predictions in 18,500 patients. Can J Anaesth 1994;41:372-383.
  • Karkouti K, Rose DK, Wigglesworth, et al. Predicting difficult intubation: a multivariable analysis. Can J Anaesth 2000;47:730-739.
  • flung OR, Morris I. Dynamic anatomy of upper airway: an essential paradigm. Can J Anaesth 2000;47:295-298.
  • Voyagis GS, Kyriakis GP, Dimitriou V, Verettou I. Value of oropharyngeal Mallampati classification in predicting difficult laryngoscopy among obese patients. Euro J Anaesthesiol 1998; 15:330-334.
  • Angelard B, Dcbry C, Planquart X. Difficult
  • intubations: A prospective study. Ann
  • Otolaryngol Chir Cervicofac 1991,108:241- 243.
  • Ezri T, Warters RD. The incidence of Class "Zero" airway and the Impact of Mallampati Score, Age, Sex and Body Mass Index on prediction of Laryngoscopy Grade. Anesth Analg 2001;93:1073-1075.
  • Meyer R. Obesity and difficult intubation. Anaesth Intensive Care 1994;22:314-315.
  • Bond A. Obesity and difficult intubation. Anaesth Intensive Care 1993:21 -.828-303.
  • Brodsky JB, Lem mens IIJM, Brock-Utne JB, et al. Morbid obesity and tracheal intubation. Anesth Analg 2002;94:732-736.
  • Kanaya Pi, Kawana S, Watanabe fl. The utility of three-dimensional computed tomography in unanticipated difficult endotracheal intubation. Anesth Analg 2000;91 -.752-756.
Year 2003, Volume: 16 Issue: 1, 16 - 19, 03.12.2016

Abstract

References

  • Mallampati SR. Clinical assessment of the airway. Anesthesiol Clin north Am 1995; 13: 301-307.
  • Janssens M, Larry M. Airway difficulty score (ADS): a new score to predict difficulty in airway management. Eur J Anaesthesiol 2000,17:35, Abstract I 13.
  • Mallampati SR, Qatt SF, Qugino LD. A clinical sign to predict difficult tracheal intubation: a prospective study. Can Anaesth Soc J 1985;32:429-434.
  • Janssens M, Hartstein G. Management of difficult intubation. Euro J Anaesthesiol 2001,18:3-12.
  • George E, llaspcl RL. The difficult airway, hit Anesthesiol Clin 2000;38:47-63.
  • Randell T. Prediction of difficult intubation. Acta Anaesthesiol Scand 1998;42:136-137.
  • Rose DK, Cohen MM. The airway : problems and predictions in 18,500 patients. Can J Anaesth 1994;41:372-383.
  • Karkouti K, Rose DK, Wigglesworth, et al. Predicting difficult intubation: a multivariable analysis. Can J Anaesth 2000;47:730-739.
  • flung OR, Morris I. Dynamic anatomy of upper airway: an essential paradigm. Can J Anaesth 2000;47:295-298.
  • Voyagis GS, Kyriakis GP, Dimitriou V, Verettou I. Value of oropharyngeal Mallampati classification in predicting difficult laryngoscopy among obese patients. Euro J Anaesthesiol 1998; 15:330-334.
  • Angelard B, Dcbry C, Planquart X. Difficult
  • intubations: A prospective study. Ann
  • Otolaryngol Chir Cervicofac 1991,108:241- 243.
  • Ezri T, Warters RD. The incidence of Class "Zero" airway and the Impact of Mallampati Score, Age, Sex and Body Mass Index on prediction of Laryngoscopy Grade. Anesth Analg 2001;93:1073-1075.
  • Meyer R. Obesity and difficult intubation. Anaesth Intensive Care 1994;22:314-315.
  • Bond A. Obesity and difficult intubation. Anaesth Intensive Care 1993:21 -.828-303.
  • Brodsky JB, Lem mens IIJM, Brock-Utne JB, et al. Morbid obesity and tracheal intubation. Anesth Analg 2002;94:732-736.
  • Kanaya Pi, Kawana S, Watanabe fl. The utility of three-dimensional computed tomography in unanticipated difficult endotracheal intubation. Anesth Analg 2000;91 -.752-756.
There are 18 citations in total.

Details

Journal Section Original Research
Authors

Arzu Gerçek This is me

Sema Lim This is me

Banu İşler This is me

Zeynep Eti This is me

Yılmaz Göğüs This is me

Publication Date December 3, 2016
Published in Issue Year 2003 Volume: 16 Issue: 1

Cite

APA Gerçek, A., Lim, S., İşler, B., Eti, Z., et al. (2016). THE PREDICTION OF DIFFICULT INTUBATION WITH BEDSIDE SCORING SYSTEMS. Marmara Medical Journal, 16(1), 16-19.
AMA Gerçek A, Lim S, İşler B, Eti Z, Göğüs Y. THE PREDICTION OF DIFFICULT INTUBATION WITH BEDSIDE SCORING SYSTEMS. Marmara Med J. March 2016;16(1):16-19.
Chicago Gerçek, Arzu, Sema Lim, Banu İşler, Zeynep Eti, and Yılmaz Göğüs. “THE PREDICTION OF DIFFICULT INTUBATION WITH BEDSIDE SCORING SYSTEMS”. Marmara Medical Journal 16, no. 1 (March 2016): 16-19.
EndNote Gerçek A, Lim S, İşler B, Eti Z, Göğüs Y (March 1, 2016) THE PREDICTION OF DIFFICULT INTUBATION WITH BEDSIDE SCORING SYSTEMS. Marmara Medical Journal 16 1 16–19.
IEEE A. Gerçek, S. Lim, B. İşler, Z. Eti, and Y. Göğüs, “THE PREDICTION OF DIFFICULT INTUBATION WITH BEDSIDE SCORING SYSTEMS”, Marmara Med J, vol. 16, no. 1, pp. 16–19, 2016.
ISNAD Gerçek, Arzu et al. “THE PREDICTION OF DIFFICULT INTUBATION WITH BEDSIDE SCORING SYSTEMS”. Marmara Medical Journal 16/1 (March 2016), 16-19.
JAMA Gerçek A, Lim S, İşler B, Eti Z, Göğüs Y. THE PREDICTION OF DIFFICULT INTUBATION WITH BEDSIDE SCORING SYSTEMS. Marmara Med J. 2016;16:16–19.
MLA Gerçek, Arzu et al. “THE PREDICTION OF DIFFICULT INTUBATION WITH BEDSIDE SCORING SYSTEMS”. Marmara Medical Journal, vol. 16, no. 1, 2016, pp. 16-19.
Vancouver Gerçek A, Lim S, İşler B, Eti Z, Göğüs Y. THE PREDICTION OF DIFFICULT INTUBATION WITH BEDSIDE SCORING SYSTEMS. Marmara Med J. 2016;16(1):16-9.