Skip to main content
. Author manuscript; available in PMC: 2022 May 1.
Published in final edited form as: Pain. 2020 Nov 11:10.1097/j.pain.0000000000002144. doi: 10.1097/j.pain.0000000000002144

Table 4.

Logistic regression fatigue responder predictor models and validation model fit statistics

Model/Parameters Estimate (SE) Fit Statistics for Validation Data
AIC AUC (95% CI)

Model with SF-36 MCS score
 Intercept −3.12 (1.02) 230.25 0.64 (0.55, 0.73)
 Married/with partner (vs single/widow/divorce) 1.34 (0.51)
 Initial TENS response for fatigue (“decreased”) 1.88 (0.50)
 SF-36 MCS score 0.04 (0.02)

Model with PROMIS sleep impairment
 Intercept 1.24 (2.20) 221.87 0.67 (0.58, 0.75)
 Married/with partner (vs single/widow/divorce) 1.32 (0.50)
 Initial TENS response for fatigue (“decreased”) 1.78 (0.50)
 PROMIS sleep impairment −0.05 (0.03)

Model with marital status and initial TENS response for fatigue
 Intercept −1.76 (0.46) 218.47 0.66 (0.58, 0.75)
 Married/with partner (vs single/widow/divorce) 1.39 (0.50)
 Initial TENS response for fatigue (“decreased”) 1.85 (0.50)