Detection of colorectal adenomas using artificial intelligence models in patients with chronic hepatitis C

Table 1 Patient demographics

Variables	Case (n = 109)	Control (n = 97)	OR	95%CI	P value
Age (mean ± SD in yr)	62.73 ± 9.146	60.20 ± 7.062			0.02a
Age median (yr), n (%)	49 (50.5)	58 (53.2)	0.54	0.31-0.95	0.03a
Gender, n (%) - female	48 (44)	46 (47.4)	0.87	0.50-1.51	0.62
BMI, median (IQR)	28 (7)	32 (7)			0.001a
Family history of hepatitis, n (%)	10 (9.2)	6 (6.2)	1.53	0.55-4.38	0.42
Aspirin use, n (%)	22 (20.2)	35 (36.1)	0.44	0.24-0.83	0.01a
Smoking, n (%)			2.31	1.31-4.07	0.004a
No	51 (46.8)	65 (67)
Yes	38 (34.9)	15 (15.5)
Former	20 (18.3)	17 (17.5)
Total pack years, median (IQR)	25 (21)	25 (11)			0.75
Alcohol use, n (%)	12 (11)	24 (24.7)	0.37	0.17-0.80	0.01a
DM, n (%)	27 (24.8)	31 (32)	0.87	0.50-1.51	0.25a
HIV, n (%)	3 (2.8)	1 (1)	2.71	0.27-26.56	0.62a
Adenomatous polyps present	58 (53.2)	33 (34)	2.20	1.25-3.87	0.006a
Bowel preparation (%)					0.14
Good	90 (82.6)	88 (90.7)
Fair	11(10.1)	7 (7.2)
Poor	8 (7.3)	2 (2.1)

^aP < 0.05

OR: Odds ratio; CI: Confidence interval; BMI: Body mass index; IQR: Interquartile range; DM: Diabetes mellitus; HIV: Human immunodeficiency virus.