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

NCT05846607 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 800

Last updated 2023-05-06

No results posted yet for this study

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.

Conditions

  • Gastic Antrum

Interventions

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.

Sponsors & Collaborators

  • Huashan Hospital

    lead OTHER

Principal Investigators

  • Le tian Wang, MD · Fudan University affiliated Huashan Hospital

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-04-26
Primary Completion
2023-09-15
Completion
2023-09-15

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05846607 on ClinicalTrials.gov