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Table 2 Logistic regression modeling for developing traumatic aortic injuries

From: Does altitude increase the risk of traumatic aortic injuries? A retrospective cohort study among six level I trauma centers in the United States

 

OR (95% CI)

p-value

Low elevation

1.0 (Ref.)

Ref.

High elevationa

2.4 (1.6, 3.7)

< 0.0001

 GCS (Abnormal vs. Normal)

4.7 (3.0, 7.1)

< 0.0001

 SBP (Abnormal vs. Normal)

0.3 (0.1, 0.6)

0.003

 Cause of Injury (Fall vs. Other)

0.3 (0.1, 0.6)

0.0002

 Cause of Injury (MCC/MVC vs. Other)

1.4 (0.8, 2.4)

0.02

 Cause of Injury (Sports vs. Other)

1.7 (0.5, 5.4)

0.16

 Caucasian (No vs. Yes)

1.5 (1.0, 2.4)

0.047

 Alcoholism (Yes vs. No)

1.4 (0.7, 2.7)

0.30

 Drug Use (Yes vs. No)

1.7 (0.9, 3.2)

0.09

  1. TAI Traumatic aortic injury, OR Odds ratio, CI Confidence interval, GCS Glasgow Coma Scale, SBP Systolic Blood Pressure, MCC/MVC Motorcycle collision / motor vehicle collision. a = Per Hosmer-Lemeshow Rule on confounding, up to eight variables other than elevation could be included in the model. Model fit: AUROC = 0.80. Bold values denote p < 0.05