View clinical trials related to Difficult Airway.
Filter by:Based on the evaluation of preoperative physical indicators and radiologic indicators of cervical surgery, this study puts forward effective indicators for predicting difficult airway before operation, and establishes a comprehensive decision support system of difficult airway evaluation, so as to provide a theoretical basis for the early warning of difficult airway before cervical spondylosis surgery.
The goal of this prospective, observational study is to identify predictors of difficult mask ventilation, direct laryngoscopy and intubation in pediatric patients scheduled for elective surgery and to determine their incidence. As a final goal, the investigators will try to define new scoring system for difficult airway prediction. Participants will be pediatric patients age infant till school age. Participants will have their airway assessed one day before surgery by taking anthropometric measurements of face and neck. After iv anesthesia induction and application of muscle relaxant, the investigators will assess difficulty of face mask ventilation by using grading from 0-4. Direct laryngoscopy will be performed with Macintosh blade and experienced anesthesiologist will determine Cormack - Lehane score as well as intubation difficulty score (IDS).
This study was designed to assess the accuracy of ultrasonographic parameters in combination to clinical parameters in the prediction of difficult airway in pediatric population. All patients underwent a standard airway examination and sonographic airway assessment preoperatively and the predictive values for difficult airway of these methods were recorded.
The study is performed in Shanghai Ninth People's Hospital Affiliated with Shanghai Jiao Tong University School of Medicine . According to inclusion and exclusion criteria ,the investigators are expected to enroll 16000 participants who performed endotracheal intubation under general anesthesia. All enrolled participants must sign a written informed consent.In the preset studio,The 3D face scanner and camera is used to obtain 3D or 2-dimensional portrait images of patients in different positions and from different angles.The Hi-Fi Recorder is used to obtain sound samples of patients in different word.Then,Statistical experts use quantitative software to quantify the data.The investigators will put all the data and images into a confidential database in order to build a large database of difficult airways. Anesthesiologist will give every patient an endotracheal intubation as planned. After that the anesthesiologist will be asked to fill out the questionnaire immediately.This questionnaire allows obtaining a ground truth for the intubation difficulty.All data will be used for AI deep learning and intelligent analysis,Several of the most relevant landmarks will be selected to build an early warning model.The overall study did not involve any intervention in the process of anaesthesia and operation of the patients, only the three-dimensional facial images of the patients were obtained, without any trauma or injury.
Acquisition of knowledge and skills pertinent to the use of fibreoptic endoscopy is an important part of training in various medical and surgical specialties such as anesthesiology, emergency medicine, otolaryngology, and pulmonary medicine. It has been shown that there is a wide variation in the learning curves of residents and the number of attempts to achieve proficiency in performing upper airway endoscopy. recently, combined use of fiberoptic bronchoscope and videolaryngoscope has been suggested to be a good alternative. So, the aim of this study is to compare the number of attempt to achieve proficiency using fiberoptic bronchoscope alone or fiberoptic bronchoscope with Pentax-AWS.