The Role of Novel STAR Score in Intra-Abdominal Injury in Adult Blunt Abdominal Trauma Patients

NCT ID: NCT07286617

Last Updated: 2025-12-16

Study Results

Results pending

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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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

129 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-12-15

Study Completion Date

2027-12-15

Brief Summary

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This study aim To develop and assess the diagnostic accuracy of the novel STAR score, combining point-of-care abdominal ultrasound and laboratory parameters, for early prediction of intra-abdominal injuries in adult blunt abdominal trauma patients, and to compare its performance with current standard clinical assessment methods

Detailed Description

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Blunt abdominal Injury(BAI) can cause damage to Internal organs and internal bleeding. The liver, spleen, and Intestine are the most common organs affected by this type of Injury, and due to the Indirect nature of this injury, diagnosis Is difficult and often time-consuming. Although the outcome of patients with blunt abdominal injury has improved in the last two decades, in patients with multiple organ injuries, the In-hospital mortality rate was reported as 3-10% Early recognition of abdominal trauma is critical, as missed or delayed diagnoses are associated with increased mortality. Clinical assessment, including history, inspection, palpation, percussion, and auscultation, forms the cornerstone of evaluation, but may be limited in accuracy, especially in unconscious or intoxicated patients The development of point-of-care imaging techniques, particularly Focused Assessment with Sonography for Trauma (FAST), has greatly enhanced rapid detection of free intraperitoneal fluid in unstable patients. As a non-invasive, bedside procedure Laboratory investigations play an important adjunctive role in the assessment of abdominal trauma

Conditions

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Novel STAR Score in Prediction of Intra-Abdominal Injury in Adult Blunt Abdominal Trauma Patients

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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STAR Score

The STAR (Screening Tool for Abdominal Injury Risk) score will be applied to adult patients with blunt abdominal trauma to predict intra-abdominal injuries. The score will be calculated based on clinical and laboratory parameters collected at presentation

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Adults aged 18 to 60 years with a documented history of blunt abdominal trauma. Presentation within 6 hours of sustaining the injury.

Hemodynamically stable or unstable patients at the time of presentation:

Stable: Normal blood pressure and heart rate, warm extremities, and capillary refill ≤2 seconds Unstable: Systolic blood pressure \<90/60 mmHg or a decrease of \>30% from baseline systolic pressure, heart rate \>100 beats per minute, cold, clammy skin, and capillary refill time \>2 seconds..

Glasgow Coma Scale (GCS) score of 15/15 on initial assessment.

Exclusion Criteria

* Patients with penetrating abdominal trauma.History of pre-existing abdominal pathology that may interfere with clinical or sonographic assessment (e.g., ascites, prior major abdominal surgery, known masses).

Pregnant patients. Presence of pre-existing infection or hematuria that may alter laboratory parameters.

Patients undergoing cardiopulmonary resuscitation upon arrival. Mechanically ventilated patients at the time of initial assessment.
Minimum Eligible Age

18 Years

Maximum Eligible Age

60 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Assiut University

OTHER

Sponsor Role lead

Responsible Party

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Aya Mohamed Osman Ali

Resident Physician, Faculty of Medicine - Assiut University

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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Aya Mohamed Osman Ali

Role: CONTACT

01090409785

Other Identifiers

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STAR-TRAUMA-2025-01

Identifier Type: -

Identifier Source: org_study_id