Prediction of traumatic aortic rupture from plain chest film findings using stepwise logistic regression

Paul Huang*, Chen Fong, Alfred Rademaker

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We reviewed initial chest radiographs of 21 patients with, and 26 without, aortic rupture, and examined the presence or absence of individual signs previously cited to be associated with aortic rupture. Using stepwise logistic regression, the three most significant signs associated with rupture were loss of aortic contour, tracheal deviation, and mediastinal-to-chest ratio. A formula calculating the probability of aortic rupture (P) using these three variables was derived. Using a low cutoff point, this equation would approach 100% sensitivity in detecting aortic rupture while reducing the number of negative aortographs. The reliability of this equation and the optimal cutoff point must be determined in a prospective study before being used to make clinical decisions.

Original languageEnglish (US)
Pages (from-to)1330-1333
Number of pages4
JournalAnnals of Emergency Medicine
Volume16
Issue number12
DOIs
StatePublished - Jan 1 1987

Keywords

  • aorta, thoracic, rupture
  • rupture, aortic, thoracic

ASJC Scopus subject areas

  • Emergency Medicine

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