Name, abbreviation, values and coding of variables used in the logistic regression models to estimate the relationships between four explanatory variables and each of three response variables.

<p>Name, abbreviation, values and coding of variables used in the logistic regression models to estimate the relationships between four explanatory variables and each of three response variables.</p

Cut-off points obtained from the logistic regression model using the 11-point Numerical Rating Scale for movement-evoked pain as explanatory variable for each of the three dependent variables PO, NO, and PONO.

<p>Shown are the optimal cut-off points with their associated sensitivities and specificities, as well as the areas under the ROC curves (AUC).</p

Numbers and characteristics of patients.

<p>Numbers and characteristics of patients.</p

ROC curves for the dependent variables PO, NO and PONO for the three first postoperative days.

<p>The dashed line is the line of identity where the AUC = 0.5. Open circles are the points where Youden’s J-statistic is maximal for PONO. These points are, by definition, the ‘optimal’ cut-off points.</p

The area under the curve and the sensitivity / specificity at the optimal cut-off point of the DN4 under the condition of equal costs of misclassification to classify a neuropathic pain component by the classification and the grading system of the physicians.

<p>The area under the curve and the sensitivity / specificity at the optimal cut-off point of the DN4 under the condition of equal costs of misclassification to classify a neuropathic pain component by the classification and the grading system of the physicians.</p

The kappa coefficient between both physicians regarding the DN4-signs.

<p>The kappa coefficient between both physicians regarding the DN4-signs.</p

Loading factors of the items of the DN4 according to the rotated component matrix factor analysis.

<p>Loading factors of the items of the DN4 according to the rotated component matrix factor analysis.</p

Flow diagram for the outcome of the physicians assessment and the NeuPSIG grading system.

<p>Present NePC: present neuropathic pain component; Undetermined: Both physicians disagree with each other about the existence of a neuropathic pain component; Absent NePC: absent neuropathic pain component; n = total number of patients in analysis PhA: Physicians assessment; GS: Neuropathic pain special interest group grading system (missing pain classification based on the grading system: n = 8).</p

The median (IQR) and percentages of the items of the DN4 by physicians agreement of a NePC.

<p>The median (IQR) and percentages of the items of the DN4 by physicians agreement of a NePC.</p

Clinical and socio-demographic characteristics of the patients related to physicians agreement for the existence of a neuropathic pain component.

<p>Clinical and socio-demographic characteristics of the patients related to physicians agreement for the existence of a neuropathic pain component.</p