Gastic Antrum
Conditions
Keywords
Deep learning，gastric antrum
Brief summary
Preoperative gastric ultrasonography is a newly developed tool used to evaluate gastric content and volume in assessing perioperative aspiration risk and guide anaesthetic management. And then build up effective clinical predictive models for identification of full stomach, which can predict the high aspiration risk.
Detailed description
Aspiration of gastric contents can be a serious anesthetic related complication. Preoperative fasting was a common practice to decrease perioperative aspiration risk. However，one of most important prescription of enhanced recovery after surgery protocols is the reduction of preoperative fasting time in opposition to the traditional recommendation of overnight fast. Gastric antral sonography prior to anesthesia may have a role in identifying patients at risk of aspiration. The aim of this study is to construct models using deep learning for identification of full stomach, which can predict the aspiration risk.
Interventions
DIETARY_SUPPLEMENTIntervention oral supplement
The oral supplement used as intervention for the study will be DongzheSutang(DAISY FSMP,Jiangsu,China). The formula contains only carbohydrate:12.5g in 100ml of product(glucose syrup and maltodextrin)，with a caloric density of 16.32kcal/g.
Sponsors
Huashan Hospital
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No
Inclusion criteria
Patients undergoing surgery Age: 18\ 85 yeas ASA 1\ 3
Exclusion criteria
-Diabetes mellitus Upper gastrointestinal pathology such as hiatus hernia, oesophageal cancer Prior surgery to upper GI On medication that may affect gastric emptying time Pregnancy
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Diagnostic accuracy of the model | 1 year |
Countries
China
Contacts
Primary ContactLe tian Wang, MD
Outcome results
None listed