Table 3.
Model C (3D Body Composition Parameters).a
| Predictor | β-coefficient | SE | Wald χ2 test | DF | P value | Exp(β) | 95% CI |
|---|---|---|---|---|---|---|---|
| Rotational instability | −1.726 | 0.626 | 7.618 | 1 | 0.006 | 0.178 | 0.0522–0.607 |
| Obturator fracture | 1.813 | 0.644 | 7.896 | 1 | 0.005 | 6.127 | 1.733–21.662 |
| Atherosclerosis | 1.616 | 0.799 | 4.080 | 1 | 0.043 | 5.030 | 1.051–24.08 |
| Hematoma volume | 0.007 | 0.002 | 12.603 | 1 | 0.000 | 1.007 | 1.003–1.011 |
| ICE > 6 mm | 1.627 | 0.562 | 8.352 | 1 | 0.004 | 5.090 | 1.691–15.321 |
| Sub-q fat volume | 0.000 | 0.000 | 4.368 | 1 | 0.037 | 1.000 | 1.000–1.000 |
| Paraspinal fat fraction (3D) | −0.099 | 0.041 | 5.954 | 1 | 0.015 | 0.905 | 0.836–0.981 |
| Constant | −2.503 | 0.970 | 6.656 | 1 | 0.010 | 0.082 | 0.0122–0.548 |
Abbreviations: CT, computed tomography; 2D, 2-dimensional; 3D, 3-dimensional.
a
All variables found to be important in the Baltimore CT prediction model (model A—hematoma volume, contrast extravasation, atherosclerosis, obturator ring fracture, and rotational instability), remained in model B and model C. In model B (2D), paraspinal fat fraction (cm2) was the only body composition measurement to reach significance (P = .03). In model C (3D), subcutaneous fat volume (cm3), and paraspinal muscle fat fraction (%) were both significant independent predictors of major arterial injury (P = .04 and .02, respectively).