| Literature DB >> 25378947 |
Saqa Ahmed1, Tejal Magan1, Mario Vargas1, Abiola Harrison1, Nidhi Sofat1.
Abstract
Rheumatoid arthritis (RA) is an inflammatory autoimmune condition typified by systemic inflammation targeted toward synovial joints. Inhibition of proinflammatory networks by disease-modifying antirheumatic drugs, eg, methotrexate and biologic therapies, including tumor necrosis factor-α inhibitors, often leads to suppression of disease activity observed at the clinical level. However, despite the era of widespread use of disease-modifying treatments, there remain significant groups of patients who continue to experience pain. Our study formulated a pain assessment tool in the arthritis clinic to assess feasibility of measurements including the visual analog scale (VAS) and painDETECT to assess multimodal features of pain in people with established RA (n=100). Clinical measures of disease activity (Disease Activity Score in 28 Joints [DAS28]) were also recorded. Our data showed that despite the majority of subjects on at least one disease-modifying agent, the majority of patients reported severe pain (54%) by VAS, despite well-controlled clinical disease, with mean DAS28 2.07±0.9. Using the painDETECT questionnaire, 67% of patients had unlikely neuropathic pain. A significant proportion of subjects (28%) had possible neuropathic pain and 5% had features of likely neuropathic pain by painDETECT scoring. We found a positive correlation between VAS and painDETECT (R (2)=0.757). Of note, the group who had likely or probable neuropathic pain also showed significantly increased pain reporting by VAS (P<0.01). Subjects who were clinically obese (body mass index >30) also had statistically higher proportions of pain reporting (VAS 89.0±0.7 mm) compared with subjects who had a normal body mass index (VAS 45.2±21.8 mm), P<0.05. Our findings suggest that multimodal features of pain perception exist in RA, including neuropathic and sensitization elements, perhaps explaining why a subgroup of people with RA continue to experience ongoing pain, despite their apparent suppression of inflammation.Entities:
Keywords: neuropathic pain; pain; painDETECT; rheumatoid arthritis; sensitization
Year: 2014 PMID: 25378947 PMCID: PMC4207578 DOI: 10.2147/JPR.S69011
Source DB: PubMed Journal: J Pain Res ISSN: 1178-7090 Impact factor: 3.133
Stratification of patients based on pain questionnaires and disease activity indices
| Scoring system | Range | Interpretation |
|---|---|---|
| Visual analog scale | 0–30 | Mild pain |
| 31–53 | Moderate pain | |
| 54–100 | Severe pain | |
| painDETECT | ≤12 | Unlikely neuropathic pain |
| 13–18 | Possible neuropathic pain | |
| ≥19 | Likely neuropathic pain | |
| Disease Activity Score in 28 Joints | ≤3.2 | Low disease activity |
| 3.3–5.1 | Moderate disease activity | |
| >5.1 | High disease activity |
Demographic characteristics for participants with rheumatoid arthritis and their use of disease-modifying drugsa
| All | VAS
| ||||
|---|---|---|---|---|---|
| Mild pain | Moderate pain | Severe pain | |||
| DMARDs | 0.093 | ||||
| Methotrexate | 82 | 10 | 22 | 50 | |
| Sulfasalazine | 31 | 9 | 8 | 14 | |
| Hydroxychloroquine | 38 | 8 | 15 | 15 | |
| Penicillamine | 8 | 0 | 2 | 6 | |
| Ciclosporin | 13 | 0 | 3 | 10 | |
| Biologics | 0.043 | ||||
| Infliximab | 20 | 0 | 1 | 19 | |
| Abatacept | 17 | 1 | 7 | 9 | |
| Tocilizumab | 2 | 0 | 0 | 2 | |
| Pain medication | 0.393 | ||||
| Paracetamol | 79 | 14 | 20 | 45 | |
| Ibuprofen | 26 | 4 | 9 | 13 | |
| Other | 48 | 9 | 7 | 32 | |
| painDETECT | 8.77±5.58 | 2.84±1.30 | 5.00±1.96 | 12.74±4.46 | <0.0001 |
| DAS28 | 2.09±0.96 | 1.95±1.08 | 2.16±0.86 | 2.16±0.86 | |
Notes:
Continuous data are presented as M ± SD and categorical data are presented as n (%). One-way ANOVA (F) was used to determine the significant difference between the three groups (mild, moderate, and severe pain) for the parametric data. Categorical data were analysed using the chi-square test (χ2). painDETECT one-way ANOVA: (F[2, 97]=349.6, P<0.0001). The post hoc comparison for painDETECT using the Tukey test indicated that the significant difference is between all the conditions: mild vs moderate (M =−32.83, SD =1.947), mild vs severe (M =−60.54, SD =2.312), and moderate vs severe (M =−27.71, SD =2.099).
Abbreviations: VAS, visual analog scale; DMARDs, disease-modifying antirheumatic drugs; DAS28, Disease Activity Score in 28 Joints; M, mean; SD, standard deviation; ANOVA, analysis of variance.
Characteristics for age, body mass index, sex, smoking history, and duration of diagnosis for rheumatoid arthritis study groupa
| All (N=100) | VAS
| ||||
|---|---|---|---|---|---|
| Mild pain | Moderate pain | Severe pain | |||
| Age, years | 0.358 | ||||
| ≤30 | 7 | 1 | 3 | 3 | |
| 31–40 | 15 | 5 | 4 | 6 | |
| 41–50 | 52 | 12 | 12 | 28 | |
| 51–60 | 20 | 1 | 7 | 12 | |
| 61–70 | 6 | 0 | 1 | 5 | |
| BMI | 24.31±2.31 | 23.45±1.31 | 23.78±1.68 | 24.88±2.69 | 0.0231 |
| Sex | 0.833 | ||||
| Male | 32 | 7 | 9 | 16 | |
| Female | 68 | 12 | 18 | 38 | |
| Smoking history | |||||
| Yes | 10 | 1 | 1 | 8 | 0.253 |
| No | 90 | 18 | 26 | 46 | 0.858 |
| Duration of RA | 0.977 | ||||
| 2–4 years | 16 | 3 | 4 | 9 | |
| ≥5 years | 84 | 16 | 23 | 45 | |
Notes:
Continuous data are presented as M ± SD and categorical data are presented as n (%). One-way ANOVA was used to determine the significant difference between the three groups (mild, moderate, and severe pain) for the parametric data. Categorical data were analyzed using the chi-square test (χ2). BMI one-way ANOVA: (F[2, 97]=3.919, P=0.0231). The post hoc comparison for the BMI using the Tukey test indicated that the statistical difference is between the mild and the severe (M =−1.432, SD =0.5981). However, there was no statistical difference between mild vs moderate (M =−0.3267, SD =0.6715) and between moderate vs severe (M =−1.106, SD =0.5285).
Abbreviations: VAS, visual analog scale; BMI, body mass index; RA, rheumatoid arthritis; M, mean; SD, standard deviation; ANOVA, analysis of variance.
Figure 1(A) Table showing categorization of rheumatoid arthritis group by pain stratification using visual analog scale (VAS) and painDETECT questionnaires. The numbers (N) represent number of participants in the study with the scoring for unlikely neuropathic pain (UNP), possible neuropathic pain (PNP), and likely neuropathic pain (LNP), respectively. (B) Scatter graph showing relationship between VAS (mm) and painDETECT for the rheumatoid arthritis group. The R2 value shows a positive correlation between VAS and painDETECT.
Figure 2(A) Box plot graph of the distribution of the mean visual analog scale (VAS) according to sex. (B) Box and whiskers plot of the distribution of the mean VAS with respect to present pain at the time of questioning compared with worst pain experienced (*P<0.05).
Figure 3(A) Table showing categorization of rheumatoid arthritis group by body mass index (BMI). (B) Bar graph showing the distribution of visual analog scale (VAS) by BMI in the rheumatoid arthritis group. Participants were subgrouped by BMI into normal, overweight, and obese. The number (N) of participants within each BMI category is given. The mean (standard deviation [SD]) VAS in the groupings described is shown. There were statistically significant differences observed in the overweight and obese groups compared with controls (**P<0.01, ****P<0.0001).
Figure 4(A) Bar graph showing mean ± standard deviation pain scores for visual analog scale (VAS) and their relationship to use of disease-modifying antirheumatic drug (DMARD) therapy in the rheumatoid arthritis group (**P≤0.01; ***P≤0.001; ****P≤0.0001). (B) Bar graph showing the relationship between the mean ± standard deviation VAS and painDETECT questionnaire. Participants were grouped into three: unlikely neuropathic pain (UNP), possible neuropathic pain (PNP), and likely neuropathic pain (LNP) (**P≤0.01; ****P≤0.0001).