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Predicting difficult airways: 3-3-2 rule or 3-3 rule?

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Abstract

Background

The goal of this study was to assess the value of the 3-3 rule and the 3-3-1 rule in predicting difficult airways.

Methods

The authors conducted an observational study over a 6-month period. For each consenting adult patient undergoing general anesthesia, preoperative patient characteristics and data regarding difficult airway assessments and airway outcomes were collected. The 3-3-2 rule, 3-3-1 rule and 3-3 rule were included in preoperative difficult airway assessments. The 3-3-1 rule is defined as an interincisor distance (IID) less than three fingers, a hyoid-mental distance (HMD) less than three fingers, and a hyoid-thyroid cartilage distance (HTD) less than one finger.

Results

Among the 732 patients who were successfully recruited in this study, 67 patients had difficult laryngoscopy (DL) (9.2 %), and 25 patients had difficult intubation (DI) (3.4 % of the total). All of the DI patients were also DL patients (25/67, 37.3 %). The AUC of the 3-3-2, 3-3, and 3-3-1 rules for predicting difficult laryngoscopy were 0.702, 0.709, and 0.631, respectively. Significant differences between the 3-3-2 and 3-3-1 rules as well as between the 3-3 and 3-3-1 rules were evident. The AUC values for the 3-3-2, 3-3, and 3-3-1 rules for predicting DI were 0.830, 0.822, and 0.725, respectively.

Conclusions

The 3-3 rule and the 3-3-2 rule are similar regarding their ability to predict difficult airways. A HTD less than two fingers or one finger is not predictive of DV or DI.

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References

  1. Cook TM, MacDougall-Davis SR (2012) Complications and failure of airway management. Br J Anaesth 109(Suppl 1):i68–i85

    Article  PubMed  Google Scholar 

  2. Levitan RM, Everett WW, Ochroch EA (2004) Limitations of difficult airway prediction in patients intubated in the emergency department. Ann Emerg Med 44(4):307–313

    Article  PubMed  Google Scholar 

  3. Nolan JP, Kelly FE (2011) Airway challenges in critical care. Anaesthesia 66(Suppl 2):81–92

    Article  PubMed  Google Scholar 

  4. Rocke DA, Murray WB, Rout CC et al (1992) Relative risk analysis of factors associated with difficult intubation in obstetric anesthesia. Anesthesiology 77(1):67–73

    Article  CAS  PubMed  Google Scholar 

  5. Khan ZH, Kashfi A, Ebrahimkhani E (2003) 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. Anesth Analg 96(2):595–599

    PubMed  Google Scholar 

  6. Khan ZH, Mohammadi M, Rasouli MR et al (2009) The diagnostic value of the upper lip bite test combined with sternomental distance, thyromental distance, and interincisor distance for prediction of easy laryngoscopy and intubation: a prospective study. Anesth Analg 109(3):822–824

    Article  PubMed  Google Scholar 

  7. Mallampati SR, Gatt SP, Gugino LD et al (1985) A clinical sign to predict difficult tracheal intubation: a prospective study. Can Anaesth Soc J 32(4):429–434

    Article  CAS  PubMed  Google Scholar 

  8. Wilson ME, Spiegelhalter D, Robertson JA et al (1988) Predicting difficult intubation. Br J Anaesth 61(2):211–216

    Article  CAS  PubMed  Google Scholar 

  9. Apfelbaum JL, Hagberg CA, Caplan RA et al (2013) Practice guidelines for management of the difficult airway: an updated report by the American Society of Anesthesiologists Task Force on Management of the Difficult Airway. Anesthesiology 118(2):251–270

    Article  PubMed  Google Scholar 

  10. Shiga T, Wajima Z, Inoue T et al (2005) Predicting difficult intubation in apparently normal patients: a meta-analysis of bedside screening test performance. Anesthesiology 103(2):429–437

    Article  PubMed  Google Scholar 

  11. Lundstrom LH, Vester-Andersen M, Moller AM et al (2011) Poor prognostic value of the modified Mallampati score: a meta-analysis involving 177 088 patients. Br J Anaesth 107(5):659–667

    Article  CAS  PubMed  Google Scholar 

  12. Reed MJ, Dunn MJ, McKeown DW (2005) Can an airway assessment score predict difficulty at intubation in the emergency department. Emerg Med J 22(2):99–102

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  13. Reed MJ, Rennie LM, Dunn MJ et al (2004) Is the ‘LEMON’ method an easily applied emergency airway assessment tool. Eur J Emerg Med 11(3):154–157

    Article  PubMed  Google Scholar 

  14. Mahmoodpoor A, Soleimanpour H, Nia KS et al (2013) Sensitivity of palm print, modified Mallampati score and 3-3-2 rule in prediction of difficult intubation. Int J Prev Med 4(9):1063–1069

    PubMed Central  PubMed  Google Scholar 

  15. Reed MJ, Dunn MJ, McKeown DW (2005) Can an airway assessment score predict difficulty at intubation in the emergency department. Emerg Med J 22(2):99–102

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  16. Mallampati SR, Gatt SP, Gugino LD et al (1985) A clinical sign to predict difficult tracheal intubation: a prospective study. Can Anaesth Soc J 32(4):429–434

    Article  CAS  PubMed  Google Scholar 

  17. Samsoon GL, Young JR (1987) Difficult tracheal intubation: a retrospective study. Anaesthesia 42(5):487–490

    Article  CAS  PubMed  Google Scholar 

  18. Khan ZH, Mohammadi M, Rasouli MR et al (2009) The diagnostic value of the upper lip bite test combined with sternomental distance, thyromental distance, and interincisor distance for prediction of easy laryngoscopy and intubation: a prospective study. Anesth Analg 109(3):822–824

    Article  PubMed  Google Scholar 

  19. Cormack RS, Lehane J (1984) Difficult tracheal intubation in obstetrics. Anaesthesia 39(11):1105–1111

    Article  CAS  PubMed  Google Scholar 

  20. Mahmoodpoor A, Soleimanpour H, Nia KS et al (2013) Sensitivity of palm print, modified mallampati score and 3-3-2 rule in prediction of difficult intubation. Int J Prev Med 4(9):1063–1069

    PubMed Central  PubMed  Google Scholar 

  21. Reed MJ, Dunn MJ, McKeown DW (2005) Can an airway assessment score predict difficulty at intubation in the emergency department. Emerg Med J 22(2):99–102

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  22. Inal MT, Memis D, Sahin SH et al (2014) Comparison of different tests to determine difficult intubation in pediatric patients. Braz J Anesthesiol 64(6):391–394

    Article  Google Scholar 

  23. Honarmand A, Safavi M, Ansari N (2014) A comparison of between hyomental distance ratios, ratio of height to thyromental, modified Mallamapati classification test and upper lip bite test in predicting difficult laryngoscopy of patients undergoing general anesthesia. Adv Biomed Res. 3:166

    Article  PubMed Central  PubMed  Google Scholar 

  24. Adhikari S, Zeger W, Schmier C et al (2011) Pilot study to determine the utility of point-of-care ultrasound in the assessment of difficult laryngoscopy. Acad Emerg Med 18(7):754–758

    Article  PubMed  Google Scholar 

  25. Huh J, Shin HY, Kim SH et al (2009) Diagnostic predictor of difficult laryngoscopy: the hyomental distance ratio. Anesth Analg 108(2):544–548

    Article  PubMed  Google Scholar 

  26. Lundstrom LH, Vester-Andersen M, Moller AM et al (2011) Poor prognostic value of the modified Mallampati score: a meta-analysis involving 177 088 patients. Br J Anaesth 107(5):659–667

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

We are gratified to our colleague of Department of Anesthesiology and Intensive Care Unit, Wannan Medical College First Affiliated Hospital, Yijishan Hospital for help with samples. This study was supported by the young and middle-aged scientific research funds of Wannan Medical College (No. WK2014F03, WK2014F38) and Provincial Quality Project of higher school (No. AH201410368106).

Conflict of interest

The authors have no potential conflicts of interest to disclose.

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Correspondence to W. D. Yao.

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Yu, T., Wang, B., Jin, X.J. et al. Predicting difficult airways: 3-3-2 rule or 3-3 rule?. Ir J Med Sci 184, 677–683 (2015). https://doi.org/10.1007/s11845-015-1276-7

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  • DOI: https://doi.org/10.1007/s11845-015-1276-7

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