Prediction Model of Hypoxemia in Gastrointestinal Endoscopy Sedation

Sichuan Provincial People's Hospital

Status: Completed

Conditions: Hypoxemia During Surgery

Study type: Observational

Funder types: Other

Identifiers

NCT06016998

FACIAL-123

Details and patient eligibility

About

The incidence of hypoxemia during gastrointestinal endoscopy sedation is high, but there is still a lack of perfect prediction model of hypoxemia, which often leads to unpredictable respiratory complications. In order to ensure the safety of gastrointestinal endoscopy sedation and make emergency plans in advance, a better diagnostic model is urgently needed to help assess the risk of hypoxemia in patients undergoing the process and make early intervention measures. Facial photography is a simple and feasible measure that can show the facial soft tissue and structure of bone. The purpose of this study is to explore whether facial photography combined with other clinical indicators can build a prediction model of hypoxemia during gastrointestinal endoscopy sedation.

Full description

Gastrointestinal endoscopy is an effective method for diagnosing gastrointestinal diseases. There is a increasing number of patients undergo gastrointestinal examinations year by year. Drug sedation can improve patient comfort and increase the intraoperative detection rate of digestive disease. At present, the most commonly used medication for gastrointestinal endoscopy sedation is propofol, which has a fast onset and short duration of time, making it very suitable for sedation during outpatient short surgeries. However, propofol can cause intraoperative hypoxemia. The hypoxemia is mainly caused by the respiratory inhibition of propofol and upper airway obstruction after anesthesia. Hypoxemia caused by respiratory inhibition can be optimized by adjusting the dose regimen. Hypoxemia caused by upper airway collapse is more urgent and more difficult to deal with, and usually requires suspension of gastroscopy and uses mask to ventilation , even needs undergo tracheal intubation. If patients suffer from hypoxemia for a long time, it can lead to myocardial ischemia, arrhythmia, permanent nerve injury, and even death and other serious complications. Conventional airway assessment methods have poor prediction ability for airway abnormalities, and imaging refined measurement indicators have good prediction ability, but their implementation is difficult and difficult to promote. At present, there is still a lack of accurate and simple prediction model for hypoxemia. It is still difficult to make a complete early warning for intraoperative respiratory complications, and intraoperative hypoxemia still occurs frequently. Therefore, in order to ensure the safety of gastrointestinal endoscopy sedation and make emergency plans in advance, a more complete diagnostic model is urgently needed to help assess the risk of hypoxemia in patients undergoing painless gastrointestinal endoscopy surgery and make early interventions.

Based on the above, the investigators assume that facial photography can provide a comprehensive measurement of risk factors for craniofacial bone and soft tissue (obesity). A prediction model constructed by combining facial photography measurement indicators with other relevant indicators can easily and efficiently predict airway abnormalities. Therefore, this study mainly explores the prediction model of craniofacial phenotype based on facial photos and combined clinical indicators for hypoxemia after gastrointestinal anesthesia.

Enrollment: 1,023 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

1. Age ≥ 18 years old
2. Patients undergoing painless gastroscopy
3. The American Society of Anesthesiologists (ASA) grades I to III;
4. The basic oxygenation SPO2 of the patient's breathing indoor air is ≥ 96%

Exclusion criteria

1. Have a history of symptomatic craniofacial abnormalities (such as Down syndrome)
2. Previous history of craniofacial surgery
3. There is too much facial hair, which clearly blurs the facial markings.
4. Severe cardiopulmonary diseases such as myocardial infarction and bronchial asthma