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. 2014 Aug 27:3:204.
doi: 10.12688/f1000research.5131.1. eCollection 2014.

Difficult mask ventilation in general surgical population: observation of risk factors and predictors

Affiliations

Difficult mask ventilation in general surgical population: observation of risk factors and predictors

Davide Cattano et al. F1000Res. .

Abstract

Background: There are few predictors of difficult mask ventilation and a simple, objective, predictive system to identify patients at risk of difficult mask ventilation does not currently exist. We present a retrospective - subgroup analysis aimed at identifying predictive factors for difficult mask ventilation (DMV) in patients undergoing pre-operative airway assessment before elective surgery at a major teaching hospital.

Methods: Data for this retrospective analysis were derived from a database of airway assessments, management plans, and outcomes that were collected prospectively from August 2008 to May 2010 at a Level 1 academic trauma center. Patients were stratified into two groups based on the difficulty of mask ventilation and the cohorts were analyzed using univariate analysis and stepwise selection method.

Results: A total of 1399 pre-operative assessments were completed with documentation stating that mask ventilation was attempted. Of those 1399, 124 (8.9%) patients were found to be difficult to mask ventilate. A comparison of patients with and without difficult mask ventilation identified seven risk factors for DMV: age, body mass index (BMI), neck circumference, history of difficult intubation, presence of facial hair, perceived short neck and obstructive sleep apnea. Although seven risk factors were identified, no individual subject had more than four risk factors.

Conclusion: The results of this study confirm that in a real world clinical setting, the incidence of DMV is not negligible and suggest the use of a simple bedside predictive score to improve the accuracy of DMV prediction, thereby improving patient safety. Further prospective studies to validate this score would be useful.

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Conflict of interest statement

Competing interests: No competing interests were disclosed.

Figures

Figure 1.
Figure 1.. A receiver-operating-characteristic (ROC) curve evaluating the sensitivity and specificity of pre-operative independent risk factors for difficult mask ventilation (DMV).
Seven independent predictors for difficult mask ventilation were identified using logistic regression: age of 47 yr or older, BMI of 35 kg/m 2 or greater, NeckCirc of 40 or greater, HxDiffIntub, FacHair, short neck and OSA. A risk score for DMV was calculated based on the number of these seven risk factors a patient possessed. The area under the curve was 0.70±0.02.

References

    1. El-Orbany M, Woehlck HJ: Difficult mask ventilation. Anesth Analg. 2009;109(6):1870–80. 10.1213/ANE.0b013e3181b5881c - DOI - PubMed
    1. Langeron O, Masso E, Huraux C, et al. : Prediction of difficult mask ventilation. Anesthesiology. 2000;92(5):1229–36. 10.1097/00000542-200005000-00009 - DOI - PubMed
    1. Kheterpal S, Han R, Tremper K, et al. : Incidence and predictors of difficult and impossible mask ventilation. Anesthesiology. 2006;105(5):885–91. 10.1097/00000542-200611000-00007 - DOI - PubMed
    1. Kheterpal S, Healy D, Aziz MF, et al. : Multicenter Perioperative Outcomes Group (MPOG) Perioperative Clinical Research Committee. Incidence, predictors, and outcome of difficult mask ventilation combined with difficult laryngoscopy: a report from the multicenter perioperative outcomes group. Anesthesiology. 2013;119(6):1360–9. 10.1097/ALN.0000435832.39353.20 - DOI - PubMed
    1. Cattano D, Killoran PV, Iannucci D, et al. : Anticipation of the difficult airway: preoperative airway assessment, an educational and quality improvement tool. Br J Anaesth. 2013;111(2):276–85. 10.1093/bja/aet029 - DOI - PMC - PubMed

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