NCT05846607

A Deep Learning Approach to Identify Patients With Full Stomach on Ultrasonography

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 800 (estimated)
• Sponsor: Huashan Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Gastic Antrum

Interventions

Type	Name	Description
DIETARY_SUPPLEMENT	Intervention 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.

Timeline

• Start date: 2023-04-26
• Primary completion: 2023-09-15
• Completion: 2023-09-15
• First posted: 2023-05-06
• Last updated: 2023-05-06

Locations

1 site across 1 country: China