Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
101 participants
OBSERVATIONAL
2025-03-01
2026-03-01
Brief Summary
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The main question it aims to answer is :
What is the predictive value of the gastric POCUS in pediatric patients? Participants are pediatric patients who will be scheduled for operative procedures within one hour of performing gastric POCUS.
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Detailed Description
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Recent advancements in ultrasound techniques enable comprehensive evaluations of the nature and volume of gastric contents, making this tool convenient, noninvasive, and applicable at the bedside with minimal contraindications.The Perlas Model has been developed to identify surgical patients with "at-risk" stomachs, aiding in preoperative planning and airway management during general anesthesia. This model facilitates decisions regarding rapid sequence induction (RSI) and the choice of airway management techniques. However, there is a notable lack of research focusing on the use of ultrasound techniques in pediatric trauma patients to determine their diagnostic performance and predictive accuracy regarding gastric contents. Therefore, the aim of this study is to investigate the efficacy of POCUS in assessing the nature and volume of gastric contents in pediatric trauma patients undergoing urgent and semi-urgent surgical procedures.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
2. Age group 1-18 years
3. ASA Physical status (I-III).
4. Both gender
Exclusion Criteria
2. Children with wounds of the epigastrium precluding probe placement.
3. Children deemed unable to tolerate the US probe
1 Year
18 Years
ALL
No
Sponsors
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Assiut University
OTHER
Responsible Party
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Hala Saad Abdel-Ghaffar
Professor
Principal Investigators
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Hala S Abdel-Ghaffar
Role: PRINCIPAL_INVESTIGATOR
Assiut University
Central Contacts
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Other Identifiers
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Gastric Pocus
Identifier Type: -
Identifier Source: org_study_id
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