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Bedside ultrasound diagnosis of atraumatic bladder rupture in an alcohol-intoxicated patient: a case report

Overview of attention for article published in The Ultrasound Journal, May 2012
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Title
Bedside ultrasound diagnosis of atraumatic bladder rupture in an alcohol-intoxicated patient: a case report
Published in
The Ultrasound Journal, May 2012
DOI 10.1186/2036-7902-4-9
Pubmed ID
Authors

Michael C Daignault, Turandot Saul, Resa E Lewiss

Abstract

Most commonly, patients who present to the emergency department with a history and physical examination suggestive of urinary bladder rupture report a preceding traumatic event. Spontaneous atraumatic bladder rupture is relatively uncommon, but can occur in the context of a recent alcohol binge. The alcohol-intoxicated patient presents diagnostic and therapeutic challenges to the emergency physician (EP) that take on additional urgency given the high mortality of unrecognized bladder rupture. This case report reviews bladder anatomy, the unique physiological changes in the alcohol-intoxicated patient, and the high mortality rate of a ruptured urinary bladder. We review the historical diagnostic imaging options followed by a discussion of how bedside ultrasound could expedite diagnosis and management. We present the case of a patient with spontaneous atraumatic rupture of the urinary bladder after a recent alcohol binge. Bedside ultrasound was utilized by the EP to determine the need for emergent surgical consultation and intervention. We recommend that EPs consider bladder rupture in their initial evaluation of patients presenting with nonspecific abdominal pain in the context of recent alcohol intoxication. When using bedside ultrasound to evaluate the pelvis, the presence of anterior or posterior vesicular fluid collections, the loss of normal pelvic landmarks, or irregularities in the bladder wall may increase the EPs suspicion for this disease entity and expedite time-sensitive management.

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Geographical breakdown

Country Count As %
United States 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 18%
Other 2 12%
Student > Bachelor 2 12%
Student > Master 2 12%
Researcher 2 12%
Other 3 18%
Unknown 3 18%
Readers by discipline Count As %
Medicine and Dentistry 12 71%
Psychology 1 6%
Engineering 1 6%
Unknown 3 18%