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

Table 4. Continuous net reclassification improvement (NRI) of risk stratification of fatty liver after adding hsa-miR-122-5p and hsa-885-5p to the different base models* including conventional risk factors.

Model/microRNAs AUC NRI (95% CI) p-value
Model 1 (predicting FLCvs. NL) 0.983 Reference Reference
+hsa-miR-122-5p 0.986 0.963 (0.570–1.356) 1.6 * 10−6
+hsa-miR-885-5p 0.983 0.139 (−0.296–0.575) 0.53
+hsa-miR-122-5p and hsa-miR-885-5p 0.987 1.363 (1.057–1.670) 2.8 * 10−18
Model 2 (predicting FLAll vs. NL) 0.897 Reference Reference
+hsa-miR-122-5p 0.898 0.125 (−0.080–0.329) 0.23
+hsa-miR-885-5p 0.897 0.055 (−0.1515–0.262) 1.00
+hsa-miR-122-5p and hsa-miR-885-5p 0.898 0.278 (0.077–0.480) 0.0067

*Statistical model: Stepwise models 1 and 2 consist of all variables associated with FL in the Young Finns Study [see ref. 6].

Variables with independent and significant prediction value were: Model 1: Alanine aminotransferase (ALT), gamma-glutamyltransferase (GT), waist circumference, insulin levels predicting individuals with FLC vs. NL (NL n = 524, FLC n = 21).

Model 2: ALT, GT, waist circumference, insulin levels, and systolic blood pressure predicting individuals with FLAll vs NL (NL n = 524, FLAll n = 108).

Abbreviations: AUC = area under curve, NL = normal liver, FL = fatty liver, FLAll = all subjects with FL, FLC = clearly identified fatty liver.