Difficult airway predictors for anticipated or unanticipated difficult airway in patients with fibreoptic intubation: a retrospective observational study

Abstract Airway management is a cornerstone of anaesthesia. The aim of the study was to identify difficult airway (DA) predictors for patients with fibreoptic intubation (FOI). This retrospective cohort study included 135 adult patients undergoing general anaesthesia with the use of FOI at Rīga East University Hospital from 1 January 2018 to 31 December 2022. For analysis, 135 patients were divided into two groups according to unanticipated (un-DA, n = 33) or anticipated DA: (a-DA, n = 102). Data were analysed using SPSS 26.0, p < 0.05. FOI was used only in 135 cases of 50,186 general anaesthesia cases over the study period. Of 135 FOI cases, 75 (55.6%) were males with a median age of 62 ± 19 years; 24.4% FOI was used in acute and 75.6% in elective surgeries. Those with a-DA had a higher Mallampati score, on average 3.2 vs. 2.1, p = 0.002. Unanticipated DA were reported statistically more frequently in acute admission cases compared to elective surgeries — 39.3% vs 10.8% of cases. Previously known tracheal pathologies such as dislocation ( p = 0.001) and stenosis ( p = 0.011) were statistically reliable factors for the anticipated DA. Comparing a-DA and un-DA groups for combinations of predictors (Mallampati score, admission and tracheal pathology) we found a sensitivity and specificity 70.3% and 68.7% to predict DA. Mallampati score, acute admission, and previously known tracheal pathology are reliable predictors of DA in patients undergoing FOI. Acute admission had the greatest impact on unanticipated DA.

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Journal
Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences
Published
2024-12-01
DOI
https://doi.org/10.2478/prolas-2024-0051
Primary Topic
Airway Management and Intubation Techniques
Type
article
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article

Difficult airway predictors for anticipated or unanticipated difficult airway in patients with fibreoptic intubation: a retrospective observational study

Andris Klucniks, Evita Bīne, Agnese Ozoliņa, Indulis Vanags et al.
Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences
Airway Management and Intubation Techniques
article

Difficult airway predictors for anticipated or unanticipated difficult airway in patients with fibreoptic intubation: a retrospective observational study

Andris Klucniks, Evita Bīne, Agnese Ozoliņa, Indulis Vanags, Arvīds Bērziņš
article en

Abstract

Abstract Airway management is a cornerstone of anaesthesia. The aim of the study was to identify difficult airway (DA) predictors for patients with fibreoptic intubation (FOI). This retrospective cohort study included 135 adult patients undergoing general anaesthesia with the use of FOI at Rīga East University Hospital from 1 January 2018 to 31 December 2022. For analysis, 135 patients were divided into two groups according to unanticipated (un-DA, n = 33) or anticipated DA: (a-DA, n = 102). Data were analysed using SPSS 26.0, p < 0.05. FOI was used only in 135 cases of 50,186 general anaesthesia cases over the study period. Of 135 FOI cases, 75 (55.6%) were males with a median age of 62 ± 19 years; 24.4% FOI was used in acute and 75.6% in elective surgeries. Those with a-DA had a higher Mallampati score, on average 3.2 vs. 2.1, p = 0.002. Unanticipated DA were reported statistically more frequently in acute admission cases compared to elective surgeries — 39.3% vs 10.8% of cases. Previously known tracheal pathologies such as dislocation ( p = 0.001) and stenosis ( p = 0.011) were statistically reliable factors for the anticipated DA. Comparing a-DA and un-DA groups for combinations of predictors (Mallampati score, admission and tracheal pathology) we found a sensitivity and specificity 70.3% and 68.7% to predict DA. Mallampati score, acute admission, and previously known tracheal pathology are reliable predictors of DA in patients undergoing FOI. Acute admission had the greatest impact on unanticipated DA.

Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied SciencesVol. 78(5-6)
University of Oxford (GB), Riga East University Hospital (LV), Pauls Stradiņš Clinical University Hospital (LV), Riga Stradiņš University (LV)
Good health and well-being
Openalex Percentile: Top 55%
Airway Management and Intubation Techniques
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