Session Information
Session Type: ACR Poster Session A
Session Time: 9:00AM-11:00AM
Background/Purpose: Ongoing pain state in rheumatoid arthritis (RA) often persists after the resolution of inflammation, indicating the transition between the acute inflammatory pain and post-inflammatory persistent pain phenotypes. PainDETECT (PDQ) was developed as a self-reported neuropathic pain screening tool. We conducted a Rasch analysis to investigate whether measurement properties of PDQ can be used as an outcome measure.
Methods: For RA subjects enrolled in the University of Pittsburgh Rheumatoid Arthritis Comparative Effectiveness Registry (RACER), Rasch analysis was conducted for all RACER patients who completed PDQ and PROMIS29 short form. Unidimensionality, reliability, item difficulty, category functioning, and differential item function were examined using the partial credit model for polytomous items (WINSTEPS ver. 3.93.2). Differential item function (DIF) analyses for gender and age groups (<60,60-70,>70) were performed to examine item invariance for different groups.
Results: For the 302 subjects analyzed, age was 63.8 ¡¾ 12.4 (mean ¡¾ SD) years with disease duration of 18.4¡¾11.9 years. Given misfit and high fit residuals, time course and radiating pain items were removed. Remaining 7-item PDQ fit the Rasch model (Table 1). Item residuals showed high correlation between the burning and slight pressure items and these items were treated as a testlet. Cold-or-heat item exhibited marginally disordered threshold but the rescoring did not substantially affect fit (Table 2). DIF analyses for gender and age groups showed uniform DIF. Person-item distribution showed that PDQ was reasonably targeted (Figure).
Conclusion: Rasch analysis of 7-item PDQ suggests that PDQ may function as an outcome measure and may provide a useful tool to predict RA treatment outcome for neuropathic pain.
Table 1. Summary statistics for all analyses (*Log-likelihood chi-squared: The chi-square value is approximately = -2 * log-likelihood of the active data points, **probability: the probability that these data fit the Rasch model globally, df: degree of freedom, SE: Standard Error, RMSR: Root-Mean-Square Residual, MNSQ: Mean Square) |
|||||
PainDETECT items |
9 items |
8 items |
7 items |
7 items (testlet) |
|
Global statistics |
Log_-liklihood chi-squard* |
5521.44 |
4863.36 |
4194.34 |
3534.94 |
df |
5553 |
4923 |
4257 |
3610 |
|
Probability** |
0.62 |
0.72 |
0.75 |
0.811 |
|
Global RMSR with expected value |
0.88 (0.89) |
0.90 (0.89) |
0.89 (0.88) |
0.88 (0.87) |
|
Person |
Measure (location, logit) |
-1.62 |
-1.66 |
-1.71 |
-1.76 |
SE (logit) |
0.54 |
0.61 |
0.67 |
0.73 |
|
Infit MNSQ |
1.02 |
1.04 |
1.06 |
1.04 |
|
Outfit MNSQ |
1.06 |
1.03 |
1.04 |
1.03 |
|
Separation |
1.44 |
1.32 |
1.29 |
1.17 |
|
Reliability |
0.68 |
0.63 |
0.63 |
0.58 |
|
Item |
Measure (location, logit) |
0.00 |
0.00 |
0.00 |
0.00 |
SE (logit) |
0.07 |
0.07 |
0.07 |
0.07 |
|
Infit MNSQ |
0.98 |
1.02 |
1.03 |
1.03 |
|
Outfit MNSQ |
1.08 |
1.03 |
1.04 |
1.03 |
|
Separation |
5.15 |
5.05 |
5.40 |
5.74 |
|
Reliability |
0.96 |
0.96 |
0.97 |
0.97 |
Table 2. Item difficulty, fit statistics and step difficulties (thresholds) represented with logit unit of PDQ 7 items with 6-level scaling (SE: Standard Error, RMSR: Root-Mean-Square Residual, MNSQ: Mean Square, *: disordering of the step difficulties) |
||||||||||
Item |
Difficulty (logit) |
SE (logit) |
Infit MNSQ |
Outfi MNSQ |
0 |
1 |
2 |
3 |
4 |
5 |
Burning |
-0.21 |
0.06 |
0.92 |
0.90 |
-2.61 |
-1.47 |
-1.19 |
-0.73 |
0.11 |
1.26 |
Tingling |
-0.08 |
0.06 |
0.88 |
0.89 |
-2.56 |
-1.40 |
-1.26 |
-0.46 |
0.20 |
1.27 |
Light touch |
0.38 |
0.07 |
0.87 |
0.92 |
-2.41 |
-0.97 |
-0.92 |
-0.10 |
0.35 |
1.47 |
Sudden attack |
-0.14 |
0.06 |
1.15 |
1.18 |
-2.54 |
-1.40 |
-1.10 |
-0.69 |
-0.26 |
1.57 |
Cold or heat |
0.53 |
0.08 |
1.19 |
1.23 |
-2.35 |
-1.03 |
-0.56 |
-0.24* |
-0.34* |
1.40 |
Numbness |
0.20 |
0.07 |
1.01 |
0.96 |
-2.42 |
-1.10 |
-0.92 |
-0.60 |
0.49 |
1.45 |
Slight pressure |
-0.69 |
0.06 |
1.19 |
1.20 |
-2.91 |
-1.68 |
-1.47 |
-1.04 |
-0.35 |
0.63 |
To cite this abstract in AMA style:
Hwang YG, Zhu L, Wasan A, Moreland LW. Measurement Properties of Paindetect, a Neuropathic Pain Screening Tool, for Evaluating Pain Phenotype in Patients with Rheumatoid Arthritis: Developing Neuropathic Pain Scale As a Measure of Treatment Outcome By Applying Rasch Analysis [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/measurement-properties-of-paindetect-a-neuropathic-pain-screening-tool-for-evaluating-pain-phenotype-in-patients-with-rheumatoid-arthritis-developing-neuropathic-pain-scale-as-a-measure-of-treatmen/. Accessed .« Back to 2017 ACR/ARHP Annual Meeting
ACR Meeting Abstracts - https://acrabstracts.org/abstract/measurement-properties-of-paindetect-a-neuropathic-pain-screening-tool-for-evaluating-pain-phenotype-in-patients-with-rheumatoid-arthritis-developing-neuropathic-pain-scale-as-a-measure-of-treatmen/