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Checking for bowel blockage using bedside ultrasound in the emergency room: How well does it work

Diagnostic accuracy of point of care Ultrasound for detecting small bowel obstruction in Emergency Department A Prospective Observational study - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/10/096478
Enrollment
91
Registered
2025-10-27
Start date
Unknown
Completion date
Unknown
Last updated
2025-11-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: R100- Acute abdomen

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil Intervention3: Nil: Nil

Sponsors

AIIMS BHOPAL
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: a. Patients aged 18 to 65 years, presenting to the emergency department with symptoms and signs suggestive of small bowel obstruction, including but not limited to: i. Abdominal pain ii. Abdominal distension iii. Nausea and vomiting iv. Changes in bowel habits (e.g., obstipation) b. Patients (or legal guardians) providing informed consent for participation in the study.

Exclusion criteria

Exclusion criteria: i. Patients with hemodynamic instability precluding POCUS. ii. Patients with known intra-abdominal malignancy or inflammatory bowel disease. iii. Patients with a recent history of abdominal surgery (within the past 30 days) iv. Patients who are not consenting for Ultrasound examination v. Patients in whom CECT scan is not feasible vi. Patients who have deranged Renal function Test. vii .Pregnancy

Design outcomes

Primary

MeasureTime frame
Primary Outcome • Diagnostic accuracy of individual POCUS features for small bowel obstruction diagnosis.Timepoint: 1.5 years

Secondary

MeasureTime frame
Diagnostic accuracy of the combined POCUS criteria. Diagnostic accuracy of POCUS compared to CECT & X-ray. Time-to-diagnosis (from triage to definitive diagnosis) for each modality. Predictive value of combinations of POCUS features using logistic regression or ROC analysis.Timepoint: 1.5 years

Countries

India

Contacts

Public ContactDr Mohammed Fahad

AIIMS BHOPAL

saurabh.tem@aiimsbhopal.edu.in7042461338

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026