Table 1.
Demographic and clinical characteristics of enrolled patients.
Data are given as N (%) or median (1st - 3rd quartile).
Fig 1.
Distribution of liver histology findings in our cohort.
Steatosis, lobular inflammation, ballooning of any grade, and fibrosis of any stage were present in 53%, 40%, 18% and 100% patients, respectively. Advanced degree of steatosis (≥2), lobular inflammation (≥2), ballooning (≥2) or fibrosis (≥3) was present in 13%, 8%, 2% and 18% patients, respectively.
Table 2.
Associations of miRNAs with liver biopsy findings.
Top row shows fold changes and 95% confidence intervals. Bottom row shows p-values derived from 1-way ANOVA. Statistically significant results are printed in bold.
Table 3.
Univariate analysis of the effect of clinical and laboratory findings on developing graft steatosis. Data are given as N (%) or median (1st - 3rd quartile). Significant results are printed in bold. Normal ranges of biochemical values are mentioned in Table 1. Non-steatosis group includes subjects without histologically proven graft steatosis (≤ 5% of hepatocytes); steatosis group comprises all patients with steatosis grade 1–3.
Table 4.
Multivariate logistic regression involving all significant variables from univariate analysis (including miR-33a). ALT underwent logarithmic transformation.
Table 5.
Univariate analysis of the effect of clinical and laboratory findings on developing liver graft inflammation. Data are given as N (%) or median (1st - 3rd quartile). Significant results are printed in bold. Normal ranges of biochemical values are mentioned in Table 1. Non-lobular inflammation group includes subjects without histologically proven lobular inflammation; lobular inflammation group comprises all patients with lobular inflammation grade 1–3.
Table 6.
Multivariate logistic regression involving all significant variables from univariate analysis (including miR-33a, miR-34a, miR-122).
Fig 2.
ROC curve for liver graft steatosis.
ROC curve for steatosis shows that exclusion of miR-33a from the model decreased the accuracy of the regression model by 0.7%.
Fig 3.
ROC curve for lobular inflammation.
ROC curve for liver graft inflammation shows that exclusion of miR-33a from the model decreased the accuracy of the regression model by 1%.