The calculation formula for gene expression specificity is presented in Materials and Methods [ 22].
Positive likelihood ratios for the ability of sustained remission to predict favourable radiographic outcome were calculated by the formula sensitivity/ 1-specificity).
The Youden index was calculated using the following formula: sensitivity + specificity – 1 [ 25], and the maximum value of the Youden index corresponded to the optimal cutoff point [ 26].
The use of a correction factor in the formula improves the specificity of the binary definition of apposition, following two different approaches.
To determine the optimal cut-off of adiponectin level, the Youden index was calculated by using the following formula: sensitivity + specificity – 1, and the maximum value of the Youden index corresponded to the optimal cut-off point [ 28].
To determine the optimal cutoff value of baseline characteristics in predicting plaque presence, we calculated the Youden index using the following formula: sensitivity + specificity – 1, with the maximum obtained value corresponding to the optimal cutoff point [ 17].
Accordingly, there are also no relevant differences in the overall diagnostic powers of the two eGFR formulae, taking 60 ml/min/1.73 m as mGFR cut-off value gained by the kinetic procedure: for the MDRD-formula the diagnostic specificity is 0.875, whereas for the CKD-EPI-formula it is 0.891.
Cutoff values were derived mathematically from the ROC curves, using the point on the ROC curve with the lowest value for the formula: (1-sensitivity)2+ 1-specificity)2+ 1-specificity
Using the following formulas, we calculated sensitivity, specificity, positive prediction value (PPV) and MCC.
MAIN RESULTS On our private database of 27 participants, our accuracy, sensitivity, specificity, and [Formula: see text] values for predicting the wake stage are [Formula: see text], 52.4%, 89.4%, and 0.83, respectively.
