Airway management is a commonly performed procedure in the intensive care unit (ICU). Hypoxemia and cardiovascular collapse represent the initial and most serious life-threatening complications associated with diffi cult airway access, both in emergency intubation in the critically ill [1]- [4] and in planned intubations (e. g., scheduled surgery or invasive procedures) [5]. To prevent and limit the incidence of life-threatening complications following intubation, several pre-oxygenation techniques and intubation algorithms have been entertained.Th e objectives of the present chapter are to: 1) describe new tools (e. g., the MACOCHA Score) to better identify patients at high-risk of diffi cult intubation and related complications; 2) describe new strategies for improving pre-oxygenation before intubation (e. g., continuous positive airway pressure [CPAP] or non-invasive ventilation [NIV]); 3) propose an intubation bundle (the Montpellier-ICU intubation algorithm) to limit complications related to the intubation procedure; 4) report recent data on the role of videolaryngoscopes in the ICU; and, fi nally, 5) propose an algorithm for secure airway management in the ICU (Th e Montpellier-airway ICU algorithm).
Which patients are 'at risk' of complications during intubation?All ICU patients could be considered at risk of complications during intubation.
How to identify risk factors for diffi cult intubation in the ICU?Although several predictive risk factors and scores for diffi cult intubation have been identifi ed in anesthesia practice, until recently no (a priori) clinical score had been developed for ICU patients. However, a recent study assessed risk factors for diffi cult intubation in the ICU [3] and developed a predictive score of diffi cult intubation, the MACOCHA score, which was then externally validated. Th e main predictors of diffi cult intubation were related to the patient (Mallampati score III or IV, obstructive sleep apnea syndrome, reduced mobility of cervical spine, limited mouth opening), the pathology (coma, severe hypoxia) and the operator (nonanesthesiologist) (Table 1). By optimizing the discrimination threshold, the discriminative ability of the score is high. In order to reject diffi cult intubation with certainty, a cut-off of 3 or greater seems appropriate, providing an optimal negative predictive value (97 % and 98 % in the original and validation cohorts, respectively) and sensitivity (76 % and 73 % in the original and validation cohorts, respectively). Th e MACOCHA score enables patients at risk of diffi cult intubation to be identifi ed and further studies are needed to determine whether calculating this score before each intubation could help