Research Article
Prediction of Small Bowel Obstruction Caused by Bezoars Using Risk Factor Categories on Multidetector Computed Tomographic Findings
Table 3
Logistic regression analysis of risk factors influencing small bowel obstruction for patients with bezoars.
| Variables | B | SE | Wald | P value | Odds ratio (95% CI) |
| Clinical characteristics | | | | | | Age | 0.022 | 0.022 | 1.054 | 0.305 | 1.02 (0.98–1.07) | Sex | 0.177 | 0.564 | 0.098 | 0.754 | 1.19 (0.40–3.60) | Duration before admission | 0.082 | 0.040 | 4.317 | 0.038 | 1.09 (1.01–1.17) | Bezoar features | | | | | | Major diameter | 3.835 | 1.025 | 14.006 | 0.0002 | 46.30 (6.21–345.03) | Volume | 0.585 | 0.157 | 13.946 | 0.0002 | 1.80 (1.32–2.44) | CT value | | 0.060 | 7.612 | 0.006 | 0.85 (0.75–0.95) | Location | | | | | | Proximal | | 1.129 | 2.731 | 0.098 | 0.16 (0.02–1.42) | Middle | | 0.540 | 0.300 | 0.584 | 0.74 (0.26–2.15) | Distal | 0.854 | 0.527 | 2.626 | 0.105 | 2.35 (0.84–6.60) | Type | | | | | | Calcareous bezoar | | 0.596 | 14.091 | 0.0002 | 0.11 (0.03–0.34) | Phytobezoar | 2.064 | 0.582 | 12.552 | 0.0004 | 7.88 (2.51–24.66) |
|
|
: regression coefficient; SE: standard errors of regression coefficient.
|