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. 2016 Dec 5;6:38262. doi: 10.1038/srep38262

Table 2. Logistic regression models (1–3) predicting fatty liver (FLAll or FLC) with hsa-miR-122-5p or -885-5p and known risk factors and biomarkers of FL.

Outcome MODEL 1
MODEL 2
MODEL 3
miR-122 miR-885 miR-122 miR-885 miR-122 miR-885
NL vs. FLAll
 n 703 871 701 868 632 781
 p-value 1.26 * 10−14 3.91 * 10−6 1.29 * 10−8 0.002 6.84 * 10−5 0.131
 OR 2.44 1.55 2.07 1.41 1.78 1.23
 95% CI 1.96–3.09 1.29–1.86 1.62–2.68 1.13–1.77 1.35–2.38 0.94–1.60
NL vs. FLC
 n 600 752 598 749 545 681
 p-value 5.59 * 10−9 1.33 * 10−4 1.93 * 10−6 9.83 * 10−4 2.48 * 10−3 0.353
 OR 4.61 2.14 6.67 2.47 3.64 1.37
 95% CI 2.83–7.96 1.46–3.19 3.28–15.97 1.46–4.33 1.69–9.29 0.71–2.73

MODEL 1: *Stepwise logistic regression model predicting FL (either FLAll or FLC) with miR-122-5p or miR-885-5p (one by one forced into model).

MODEL 2: Model 1+ age, sex and BMI.

MODEL 3: Model 2+ alcohol consumption, waist circumference, apolipoprotein B levels, triglycerides, insulin levels, systolic blood pressure, smoking, and physical activity index. This model involves all the explanatory variables that have been previously associated with liver status in Young Finns Study [see ref. 6] excluding liver enzymes due to high correlation with studied miRNAs.

Abbreviations: NL = Normal liver, FL = fatty liver, FLAll = all subjects with fatty liver, FLC = clearly identified fatty liver, miR-122 = hsa-miR-122-5p, miR-885 = hsa-miR-885-5p.