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Topics in Airway Management: Intelligent Airway Evaluation Donald M. Voltz, MD Assistant Professor of Anesthesiology Case Western Reserve University / University Hospitals of Cleveland 3 November 2004
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What we focus on and our mental models determine what we see.
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What is Intelligence?
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Intelligence = Behavior
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Turing Test
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Intelligence = Prediction
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Is There Such a Thing as an Unexpected Difficult Intubation?
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What is the Problem?
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“More than 85% of respiratory- related closed claims involve a brain-damaged or dead patient.” Jonathan Benumof, MD
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Incidence of Difficult Intubation Successful with multiple attempts Successful, many attempts, many people Unsuccessful Can not ventilate or intubate 100-1800/10,000 (1-18%) 100-400/10,000 (1-4%) 5-35/10,000 (0.05-.35%) 0.01-2/10,000 (0.0001-0.02%)
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What do we want to Predict?
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Cormack-Lehane Classifications
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Airway Prediction Models
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Mallenpatti Classification Neck Range of Motion Thyromental/Thyrosternal Distance Upper Lip Bite Test Multivariate Analysis
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Mallinpatti Classification
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Upper Lip Bite Test
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Table 1. Relationship Between the Results of Two Predicting Tests and Laryngoscopy Grades in 300 Patients I and IIIII and IV Predicting test Modified Mallampati Classes I and II1893 Classes III and IV9414 Upper lip bite Classes I and II2514 Class III3213 Laryngoscopic view
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Airway Evaluation Mouth (4) Oral Cavity (3) Neck (4)
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Airway Evaluation - Mouth Length of Upper Incisors Relationship of Maxillary Incisors to Mandibular Incisors Ability to Prognath the Mandible Interincisor Distance
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Airway Evaluation – Oral Cavity Visibility of the Uvula Shape of the Palate Compliance of the Mandibular Space
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Airway Evaluation - Neck Thyromental/Thyrosternal Distance Length of the Neck Thickness of the Neck Range of Motion of the Head and Neck
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Approaching the Difficult Airway Algorithm William H. Rosenblatt, M.D. Yale University School of Medicine
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Is Airway Management Required?
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Do you predict difficult direct laryngoscopy?
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Will superlarngeal ventilation be possible?
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Predictors of Difficult Mask Ventilation Age greater than 55 years Body mass index greater than 26 kg/m 2 History of snoring Edentulous Presence of facial hair
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Is the patient at an increased risk of aspiration?
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Will the patient tolerate a judgment error?
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Problems with Prediction Methods
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Future of Airway Prediction
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References Rosenblatt, W.H. Decision making in airway evaluation. ASA Refresher Course in Anesthesiology, V. 32, 2004. Benumof, J.L. Airway Management, pp. 121- 158, 1996. ASA Task Force on Airway Management. 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, 98(5), 1269-1277.
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