Literature DB >> 31183861

Pre-operative voice evaluation as a hypothetical predictor of difficult laryngoscopy.

C C de Carvalho1, D M da Silva2, A D de Carvalho Junior3, J M Santos Neto2, B R Rio2, C N Neto4, F A de Orange1.   

Abstract

We examined the potential for voice sounds to predict a difficult airway as compared with prediction by the modified Mallampati test. A total of 453 patients scheduled for elective surgery under general anaesthesia with tracheal intubation were studied. Five phonemes were recorded and their formants analysed. Difficult laryngoscopy was defined as the Cormack-Lehane grade 3 or 4. Univariate and multivariate logistic regression were used to examine the association between some variables (mouth opening, sternomental distance, modified Mallampati and formants) and difficult laryngoscopy. Difficult laryngoscopy was reported in 29/453 (6.4%) patients. Among five regression models evaluated, the model achieving better performance to predict difficult laryngoscopy, after a variable selection criteria (stepwise, multivariate) and included a modified Mallampati classification (OR 2.920; 95%CI 1.992-4.279; p < 0.001), first formant of /i/(iF1) (OR 1.003; 95%CI 1.002-1.04; p < 0.001), and second formant of /i/(iF2) (OR 0.998; 95%CI 0.997-0.998; p < 0.001). The receiver operating curve for a regression model that included both formants and Mallampati showed an area under curve of 0.918, higher than formants alone (area under curve 0.761) and modified Mallampati alone (area under curve 0.874). Voice presented a significant association with difficult laryngoscopy during general anaesthesia showing a 76.1% probability of correctly classifying a randomly selected patient.
© 2019 Association of Anaesthetists.

Entities:  

Keywords:  difficult airway algorithm; laryngoscopic view: grading; predictor patients who were difficult to intubate

Mesh:

Year:  2019        PMID: 31183861     DOI: 10.1111/anae.14732

Source DB:  PubMed          Journal:  Anaesthesia        ISSN: 0003-2409            Impact factor:   6.955


  4 in total

1.  Voice Recognition and Evaluation of Vocal Music Based on Neural Network.

Authors:  Xiaochen Wang; Tao Wang
Journal:  Comput Intell Neurosci       Date:  2022-05-20

Review 2.  A new approach to airway assessment-"Line of Sight" and more. Recommendations of the Task Force of Airway Management Foundation (AMF).

Authors:  Rakesh Kumar; Sunil Kumar; Anil Misra; Neera G Kumar; Akhilesh Gupta; Prashant Kumar; Divya Jain
Journal:  J Anaesthesiol Clin Pharmacol       Date:  2020-09-15

3.  Voice parameters for difficult mask ventilation evaluation: an observational study.

Authors:  Shuang Cao; Ming Xia; Ren Zhou; Jie Wang; Chen-Yu Jin; Bei Pei; Zhi-Kai Zhou; Yan-Min Qian; Hong Jiang
Journal:  Ann Transl Med       Date:  2021-12

4.  Acoustic features as novel predictors of difficult laryngoscopy in orthognathic surgery: an observational study.

Authors:  Ming Xia; Shuang Cao; Ren Zhou; Jia-Yi Wang; Tian-Yi Xu; Zhi-Kai Zhou; Yan-Min Qian; Hong Jiang
Journal:  Ann Transl Med       Date:  2021-09
  4 in total

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