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Erschienen in: Japanese Journal of Radiology 3/2018

27.12.2017 | Original Article

Predictors of active arterial hemorrhage on angiography in pelvic fracture patients

verfasst von: Ying-Chieh Lai, Cheng-Hsien Wu, Huan-Wu Chen, Li-Jen Wang, Yon-Cheong Wong

Erschienen in: Japanese Journal of Radiology | Ausgabe 3/2018

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Abstract

Purpose

To determine predictors of active angiographic hemorrhage in pelvic fracture patients.

Materials and methods

This retrospective study included 66 trauma patients who had major hemorrhages due to pelvic fractures, and who underwent pelvic angiography between January 2012 and December 2014. The study population comprised 31 males and 35 females (mean age 44.2 ± 20.7 years). The main outcome was active hemorrhage on pelvic angiography. Clinical and imaging variables including demographics, hemodynamic parameters, injury severity, types of pelvic fracture, laboratory data, blood transfusions and CT findings were analyzed. Multivariate logistic regression was used to identify predictors of active angiographic hemorrhage.

Results

Of the 66 study patients included, 41 patients had active angiographic hemorrhage. These patients had more blood transfusions, higher activated partial thromboplastin times and higher rates of contrast extravasation on CT (p < 0.05). Three independent predictors of active angiographic hemorrhage were identified, including contrast extravasation on CT (OR: 74.6, p < 0.001), more than 8 units of RBC transfusions (OR: 12.5, p = 0.018) and ISS ≥ 16 (OR: 11.1, p = 0.029).

Conclusion

Contrast extravasation on CT, high volume RBC transfusions and ISS ≥ 16 can help us to select pelvic fracture patients for angiography more precisely.
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Metadaten
Titel
Predictors of active arterial hemorrhage on angiography in pelvic fracture patients
verfasst von
Ying-Chieh Lai
Cheng-Hsien Wu
Huan-Wu Chen
Li-Jen Wang
Yon-Cheong Wong
Publikationsdatum
27.12.2017
Verlag
Springer Japan
Erschienen in
Japanese Journal of Radiology / Ausgabe 3/2018
Print ISSN: 1867-1071
Elektronische ISSN: 1867-108X
DOI
https://doi.org/10.1007/s11604-017-0716-x

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