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The Size of Pelvic Hematoma Can be a Predictive Factor for Angioembolization

Completed
Conditions
Multiple Pelvic Fractures
Registration Number
NCT03519594
Lead Sponsor
Asan Medical Center
Brief Summary

Unstable pelvic fracture with bleeding can be fatal, with a mortality rate of up to 40%. Therefore, early detection and treatment are important in unstable pelvic trauma. We investigated the early predictive factors for possible embolization in patients with hemodynamically unstable pelvic trauma. The purpose of this study was to predict the necessity of embolization and the timing of angiography using CT scans.

Detailed Description

Background: Unstable pelvic fracture with bleeding can be fatal, with a mortality rate of up to 40%. Therefore, early detection and treatment are important in unstable pelvic trauma. We investigated the early predictive factors for possible embolization in patients with hemodynamically unstable pelvic trauma.

Methods: From January 2011 to December 2013, 46 patients with shock arrived at a single hospital within 24 h after injury. Of them, 44 patients underwent computed tomography (CT) after initial resuscitation, except for 2 who were dead on arrival. Nine patients with other organ injuries were excluded. Seventeen patients underwent embolization. A single radiologist measured the width (longest length in axial view) and length (longest length in coronal view) of pelvic hematoma on CT scans. Demographic, clinical, and radiological data were reviewed retrospectively.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
46
Inclusion Criteria
  • patients with shock (systolic blood pressure <90 mmHg) arrived at a single hospital within 24 h after injury after pelvic fracture
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Exclusion Criteria
  • declared dead on arrival
  • patients with other organ injuries
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Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Predictive factors for embolization in unstable pelvic fracture2 years

The factors affecting embolization are analyzed by logistic regression analysis

Secondary Outcome Measures
NameTimeMethod
The odds ratio of mortality rate between two groups2 years

Obtain the difference in mortality rate between two groups

Cut-off values of pelvic hematoma width2 years

Measure the length of pelvic hematoma using the ROC curve

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