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. 2015 Jul 17;4(7):1498–1517. doi: 10.3390/jcm4071498

Table 2.

Predictive models for the future development of microalbuminuria.

Feature Log-Odds ǂ
Concentration—Only Model Concentration—Binding Model
Intercept 2.725 3.313
hsa-miR-105-3p −0.125 −0.196
hsa-miR-122-3p 0.022
hsa-miR-124-3p 0.003
hsa-miR-126-3p 0.045
hsa-miR-1972 −0.003 −0.054
hsa-miR-28-5p −0.316 −0.682
hsa-miR-30b-5p −0.008
hsa-miR-363-3p −0.141 −0.009
hsa-miR-424-5p −0.069
hsa-miR-486-5p 0.083 0.212
hsa-miR-495 −0.045 −0.028
hsa-miR-548o-3p −0.055
hsa-miR-122-5p X Women 0.007
hsa-miR-192-5p X Women 0.033 0.03
hsa-miR-200c-3p X Women 0.07
hsa-miR-548o-3p X Women −0.296 −0.498
hsa-miR-720 X Women 0.059 0.018

ǂ Log-Odds ratios are coefficients that multiply the features (40-Cq) for each of the microRNAs measured in the urine. These terms are then added together to give an overall log-odds score which when exponentiated yields the odds of microalbuminuria development for a given sample. These microRNA measurements carry a different prognostic implication for women. For these microRNAs the log-odds multiply the corresponding feature only for women.