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. 2022 Dec 19;12:21897. doi: 10.1038/s41598-022-25931-7

Table 4.

Model to predict NASH (elaboration set, n = 100).

Variable N NASH
N (%)
P univariate Adjusted Odds Ratio
(95% confidence interval)
Multivariate p
Age 0.183* 1.033 (0.983–1.098) 0.202
 < 62 years 50 6 (12)
 ≥ 62 years 50 11 (22)
Sex 0.374 0.346
Female 61 12 (20) 1.845 (0.501–7.170)
Male 39 5 (13)
BMI 0.055* 1.002 (0.852–1.179) 0.978
 < 30 kg/m2 67 8 (12)
 ≥ 30 kg/m2 33 9 (27)
HOMA§  < 0.001* 2.221 (1.501–2.286)  < 0.001
 < 4 25 3 (4)
 ≥ 4 75 14 (56)
Triglycerides§ 0.026* 0.992 (0.979–1.005) 0.206
 < 150 mg/dL 76 9 (12)
 ≥ 150 mg/dL 24 8 (33)
HDL-c§ 0.002* 0.997 (0.943–1.055) 0.924
 < 45 mg/dL 33 11 (33)
 ≥ 45 mg/dL 67 6 (9)
Metabolic syndrome 0.068 5.885 (0.788–43.962) 0.084
No 32 2 (6)
Yes 68 14 (21)
AST§ 0.432
 < 37 mg/dL 97 16 (17)
 ≥ 37 mg/dL 3 1 (33)
GGT§ 0.115*
 < 66 IU/mL 76 10 (13)
 ≥ 66 IU/mL 24 7 (29)
Liver stiffness 0.062* 1.087 (0.826–1.432) 0.550
 < 5.2 kPa 50 5 (10)
 ≥ 5.2 kPa 50 12 (24)
CAP 0.005* 1.016 (1.002–1.031) 0.021
 < 248 dB/m 36 1 (2.8)
 ≥ 248 dB/m 64 16 (25)

CAP controlled attenuation parameter, BMI Body mass index, HOMA homeostasis model assessment.

*Entered in the logistic regression model as continuous variables.

Categories of continuous variables: By the median; BMI ≥ 30 kg/ m2, indicative of obesity; §Categorized by upper limit of normal; :CAP ≥ 248 dB/m, cut-off for steatosis (18).