| Title: | How to predict a difficult airway |
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| Authors: | ID Mekiš, Dušan (Author) |
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| Files: |  How_to_predict_a_difficult_airway_-Mekis-2013.pdf (427,89 KB)
MD5: 1C625D7C889C3925B7CD7C78CA99AE18
 https://journals.um.si/index.php/amb/sl/article/view/1483
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.02 - Review Article |
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| Organization: | MF - Faculty of Medicine
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| Abstract: | According to The American Society of Anaesthesiologists Task Force, a difficult airway is defined as a clinical situation in which a conventionallytrained anaesthesiologist experiences difficulty with face mask ventilation and/or difficulty with tracheal intubation. Failing at efficient airway management is a source of major apprehension for physicians. Predicting difficult airway management is a mandatory part of clinical practice for paediatric and adult patients so as to avoid unexpected difficult airway management and adverse outcomes. Predicting a difficult airway is based on a focused medical history, review of prior medical records, physical examination, and specific tests for airway assessment. Each feature or airway test has its own sensitivity and specificity for the prediction of a difficult airway. All airway assessment tests are characterised by low sensitivity, reasonable specificity, and a low positive predictive value. Several scoring system models have been developed by multivariate analysis with multiple different integrated tests or risk factors to improve the prediction of a difficult airway, but with considerably different effectiveness to predict a difficult airway. According to the European Society of Anaesthesiology, systematic multimodal screening before airway management should include the Mallampati classification and thyromental distance, mouth opening or interincisor distance, range of motion of head and neck, compliance of the mandibular space, and the upper lip bite test. |
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| Keywords: | prediction, difficult airway management, mask ventilation, orotracheal intubation, airway assessment |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 30.07.2012 |
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| Article acceptance date: | 29.01.2013 |
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| Publication date: | 01.01.2013 |
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| Year of publishing: | 2013 |
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| Number of pages: | str. 10-19 |
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| Numbering: | Letn. 6, št. 1 |
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| PID: | 20.500.12556/DKUM-88260  |
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| UDC: | 616-089.819.3 |
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| ISSN on article: | 1855-5640 |
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| COBISS.SI-ID: | 4682303 |
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| DOI: | https://doi.org/10.18690/actabiomed.79 |
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| Publication date in DKUM: | 12.04.2024 |
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| Views: | 361 |
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| Downloads: | 19 |
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| Metadata: |    |
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| Categories: | Misc.
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