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DOI 10.3390/jcm12103433

Медицинская библиотека · Journal of clinical medicine · 2023

Nasendoscopy to Predict Difficult Videolaryngoscopy: A Multivariable Model Development Study.

Sasu Phillip Brenya, Pansa Jennifer-Isabel, Stadlhofer Rupert, Wünsch Viktor Alexander, Loock Karolina, Buscher Eva Katharina, Dankert André, Ozga Ann-Kathrin, Zöllner Christian, Petzoldt Martin

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Аннотация

BACKGROUND

Transnasal videoendoscopy (TVE) is the standard of care when staging pharyngolaryngeal lesions. This prospective study determined if preoperative TVE improves the prediction of difficult videolaryngoscopic intubation in adults with expected difficult airway management in addition to the Simplified Airway Risk Index (SARI).

METHODS

374 anesthetics were included (252 with preoperative TVE). The primary outcome was a difficult airway alert issued by the anesthetist after Macintosh videolaryngoscopy. SARI, clinical factors (dysphagia, dysphonia, cough, stridor, sex, age and height) and TVE findings were used to fit three multivariable mixed logistic regression models; least absolute shrinkage and selection operator (LASSO) regression was used to select co-variables.

RESULTS

SARI predicted the primary outcome (odds ratio [OR] 1.33; 95% confidence interval [CI] 1.13-1.58). The Akaike information criterion for SARI (327.1) improved when TVE parameters were added (311.0). The Likelihood ratio test for SARI plus TVE parameters was better than for SARI plus clinical factors (p < 0.001). Vestibular fold lesions (OR 1.82; 95% CI 0.40-8.29), epiglottic lesions (OR 3.37; 0.73-15.54), pharyngeal secretion retention (OR 3.01; 1.05-8.63), restricted view on rima glottidis <50% (OR 2.13; 0.51-8.89) and ≥50% (OR 2.52; 0.44-14.56) were concerning.

CONCLUSION

TVE improved prediction of difficult videolaryngoscopy in addition to traditional bedside airway examinations.

Для цитирования: Sasu Phillip Brenya, Pansa Jennifer-Isabel, Stadlhofer Rupert, Wünsch Viktor Alexander, Loock Karolina, Buscher Eva Katharina, Dankert André, Ozga Ann-Kathrin, Zöllner Christian, Petzoldt Martin. Nasendoscopy to Predict Difficult Videolaryngoscopy: A Multivariable Model Development Study.. Journal of clinical medicine. 2023. DOI: 10.3390/jcm12103433.
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