Airway management and outcomes in surgical drainage of severe odontogenic infections: a retrospective cohort study

Severe odontogenic infections requiring surgical drainage pose significant airway management challenges. This study aimed to compare perioperative characteristics and clinical outcomes between patients managed with conventional laryngoscopy versus awake fiberoptic intubation, to identify factors associated with the selection of airway management technique, and to determine predictors of hospital length of stay. This single-center retrospective study included 85 adult patients who underwent surgical drainage of severe odontogenic infections under general anesthesia between 2015 and 2024. The primary objective was to identify factors associated with awake fiberoptic intubation selection. Secondary objectives included comparison of perioperative outcomes and identification of predictors of hospital discharge. Multivariable logistic regression and Cox proportional hazards modeling were used. Of 85 patients, 60% were managed with AFOI. Multivariable analysis identified trismus (OR = 6.67, 95% CI 1.53, 39.53, p = 0.010) and higher BMI (OR = 1.15, 95% CI 1.03, 1.33, p = 0.013) as independent predictors of AFOI selection. AFOI patients experienced more complex postoperative courses, with intraoperative tracheostomy, ICU admission, and septic shock occurring exclusively in this group. Spontaneous ventilation postoperatively was associated with earlier discharge (HR = 2.14, 95% CI 1.23, 3.73, p = 0.007), while septic shock (HR = 0.26, 95% CI 0.07, 0.91, p = 0.036) and lower BMI (HR = 0.95, 95% CI 0.90, 1.00, p = 0.040) were associated with delayed discharge. AFOI was preferentially selected for anatomically complex odontogenic infections based on objective criteria, particularly trismus and elevated BMI. The ability to achieve spontaneous ventilation postoperatively serves as a key prognostic indicator, while septic shock is strongly associated with prolonged recovery. These findings support evidence-based airway management protocols and early identification of high-risk patients to optimize outcomes in this challenging population.