Results 91 to 100 of about 579 (105)

Swedish consensus regarding difficult pre-hospital airway management: a Delphi study. [PDF]

BMC Emerg Med
Borgström AM, Bäckström D.
europepmc   +1 more source

Expert recommendations for managing difficult airways in adults and children: insights from the Brazilian Society of Anesthesiology (SBA). [PDF]

Braz J Anesthesiol
Schmidt AP, Schmidt AP.
europepmc   +1 more source

High- versus low-fidelity simulation training for emergency front of neck access: A prospective observational study in a Swiss anesthesiology department. [PDF]

Saudi J Anaesth
Girombelli A, Pekrun J, Vetrone F, Marelli S, Ledingham N, Rana NK, Speciale D, Ingrassia PL, Maino P.   +8 more
europepmc   +1 more source

DCUN1D2 is insignificant for spermatogenesis and male fertility in mice. [PDF]

Am J Transl Res
Feng Y, Bao M, Sheng W, Liu S, Cui Y, Zhou N, Wu T, Huang X, Hou S, Liu M.   +9 more
europepmc   +1 more source

All India Difficult Airway Association 2025 guidelines for the management of unanticipated difficult airway in adults, obstetrics, and paediatrics and the management of at-risk extubations: Guideline development process and methodology. [PDF]

Indian J Anaesth
Myatra SN, Shah AP, Ahmed SM, Divatia JV, Doctor JR, Garg R, Ramkumar V, Shetty SR, Kundra P.   +8 more
europepmc   +1 more source

Comparing conventional versus 3D printed simulators for simulation training of emergency percutaneous cricothyrotomy with two different kits: a randomized controlled trial. [PDF]

3D Print Med
Wegner M, Dusse F, Beeser F, Leister N, Lefarth M, Finke SR, Böttiger BW, Steinbicker AU, Dorweiler B, Stoll SE.   +9 more
europepmc   +1 more source

Impact of Radiotherapy on Endotracheal Intubation Quality Metrics in Patients with Esophageal Cancer: A Challenge for Advanced Airway Management? [PDF]

Cancers (Basel)
Uzun DD, Tryjanowski T, Arians N, Mohr S, Schmitt FCF, Michalski CW, Weigand MA, Debus J, Lang K.   +8 more
europepmc   +1 more source

Evaluation of anthropometric and ultrasonographic measurements with different machine learning methods in predicting difficult intubation: a prospective observational study. [PDF]

BMC Anesthesiol
Demir Senoglu G, Kara Timucin E, Kırısoglu S.   +2 more
europepmc   +1 more source

Characterization of gastroesophageal reflux in patients during anesthesia induction: a high-resolution impedance manometry study. [PDF]

Anaesthesiologie
Cao Y, Wang W, Zhao S, Zhang Y.
europepmc   +1 more source

Use of Artificial Intelligence in Difficult Airway Assessment: The Current State of Knowledge. [PDF]

J Clin Med
Wilk M, Pikiewicz W, Florczak K, Jakóbczak D.   +3 more
europepmc   +1 more source