Evidence Hub

Use of preoperative contrast-enhanced computed tomography in damage control strategy for blunt liver injury: A case report

S. Madokoro, Yutaka Kondo, Kohei Ishikawa, Yukari Miyoshi, Atsushi Miyazato, Yuki Nakamura, Koichiro Sueyoshi, Ken Okamoto et al.

Trauma Case Reports, 2023

1 citation

Abstract

For patients with unstable abdominal trauma unresponsive to initial transfusion, the damage control strategy includes prompt hemostasis by open surgery and packing. Recently, a hybrid treatment that combines packing and transcatheter arterial embolization as a damage control strategy was reported to be effective; however, the indications and techniques are yet to be established. A 25-year-old male patient who was in shock due to severe liver injury after a traffic accident was brought to our emergency room by emergency services. After initial resuscitation, including resuscitative endovascular balloon occlusion of the aorta and blood transfusion, preoperative contrast-enhanced computed tomography indicated grade IV liver injury with active bleeding from the right hepatic artery. Damage control strategy with packing and subsequent transcatheter arterial embolization was determined to be useful. During treatment, bile leakage was observed. An endoscopic nasobiliary drainage tube was inserted, and the patient was treated conservatively. He was discharged on day 83 of hospitalization. Although using preoperative contrast-enhanced computed tomography before damage control surgery remains controversial, it can provide useful information to determine damage control strategy, including morphological evaluation of the injured area and the presence of active bleeding.

How strong is the evidence?

Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free