Machine learning-based radiomic nomogram from unenhanced computed tomography and clinical data predicts bowel resection in incarcerated inguinal hernia

Table 2 Multivariable logistic regression analysis of clinical features between patients with bowel resection and without bowel resection in the training set

Clinical features	P value	OR	95%CI
Incarcerated time, > 4 hours	0.060	2.406	0.965-6.000
Bowel obstruction (%)	0.012	3.153	1.291-7.700
Peritonitis (%)	0.003	4.207	1.608-11.011
CRP (mg/L)	0.019	1.013	1.002-1.024
D-D	0.042	1.001	1.000-1.001

CRP: C-reactive protein; D-D: D-dimer; OR: Odds ratio; CI: Confidence interval.