Table 5.
ROC analysis to detect the failure of DPMS according to the index of propensity score of each step of the hierarchical multiple logistic regression model (n = 117).
AUC | 95% CI | Cutoffs | Sensitivity | Specificity | |
---|---|---|---|---|---|
Step I – (model I: analgesic use (four or more than 4 days per week) and HPT) | |||||
0.681 | (0.58–0.78) | 0.2185269 | 0.982 | 0.983 | |
0.2283567 | 0.965 | 0.967 | |||
0.2412153 | 0.965 | 0.950 | |||
0.2471011 | 0.965 | 0.933 | |||
0.2535917 | 0.947 | 0.933 | |||
0.2612195 | 0.947 | 0.917 | |||
Step II – (model II: model I along with catastrophizing pain (cutoff-Q25 = 33), BDNF (cutoff-Q75 = 58.11) and PSQI (cutoff-Q75 ⩾ 17)) | |||||
0.785 | (0.70–0.87) | 0.0564277 | 1.000 | 0.983 | |
0.0736317 | 1.000 | 0.967 | |||
0.0814282 | 1.000 | 0.950 | |||
0.0838870 | 0.982 | 0.950 | |||
0.0892560 | 0.982 | 0.933 | |||
0.0942823 | 0.982 | 0.917 | |||
0.0962838 | 0.982 | 0.900 | |||
Step III – (model III: model II along with number of psychiatric diagnosis according to the MINI (major depressive episode with dysthymia, maniac-depressive disorder and generalized anxiety disorder) | |||||
0.818 | (0.74–0.89) | 0.0153715 | 1.000 | 0.983 | |
0.0305837 | 1.000 | 0.967 | |||
0.0388753 | 1.000 | 0.950 | |||
0.0442709 | 1.000 | 0.933 | |||
0.0537171 | 1.000 | 0.917 | |||
0.0593224 | 1.000 | 0.900 | |||
.0610924 | 0.982 | 0.900 | |||
Step IV – global index (model 4: model III along with FIQ (cutoff-Q75 = ⩾78) | |||||
0.832 | (0.75–0.90) | 0.0089371 | 1.000 | 0.983 | |
0.0139259 | 1.000 | 0.967 | |||
0.0193599 | 1.000 | 0.950 | |||
0.0263755 | 1.000 | 0.933 | |||
0.0318990 | 1.000 | 0.917 | |||
0.0349366 | 1.000 | 0.900 |
AUC: area under the curve; BDNF: brain-derived neurotrophic factor; CI: confidence interval; ROCs: receiver operator characteristics; FIQ: fibromyalgia impact questionnaire; PSQI: Pittsburgh sleep quality index; HTP: heat pain threshold.