Journal of Peking University (Health Sciences) ›› 2022, Vol. 54 ›› Issue (2): 278-282. doi: 10.19723/j.issn.1671-167X.2022.02.013

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Validation of the Pollard’s classification criteria (2010) for rheumatoid arthritis patients with fibromyalgia

GAO Chao,CHEN Li-hong(),WANG Li,YAO Hong,HUANG Xiao-wei,JIA Yu-bo,LIU Tian()   

  1. Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing 100044, China
  • Received:2020-07-31 Online:2022-04-18 Published:2022-04-13
  • Contact: Li-hong CHEN,Tian LIU E-mail:13901007280@163.com;mikle317@163.com

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Abstract:

Objective: To evaluate the sensitivity and specificity of Pollard’s classification criteria(2010) for the diagnosis of rheumatoid arthritis (RA) patients withfibromyalgia (FM) in Chinese patients, and to assess the clinical features and psychological status of RA-FM patients in a real-world observational setting. Methods: Two hundred and two patients with rheumatoid arthritis were enrolled from the outpatients in Rheumatology and Immunology Department in Peking University People’s Hospital. All the patients were evaluated whether incorporating fibromyalgia translation occured using the 1990 American College of Rheumatolgy (ACR)-FM classification criteria. Forty two RA patients were concomitant with FM, while the other one hundred and sixty RA patients without FM were set as the control group. Results: There was no significant difference in general demography between the two groups (P>0.05). In this study, the Pollard’s classification criteria (2010) for RA-FM in Chinese patients had a high sensitivity of 95.2% and relatively low specificity of 52.6%. Compared with those patients without FM, RA patients with FM (RA-FM patients) had higher Disease Activity Scale in 28 joints (DAS-28) score (5.95 vs. 4.38, P=0.011) and much more 28-tender joint counts (TJC) (16.5 vs.4.5, P<0.001).RA-FM patients had worse Health Assessment Questionnaire (HAQ) score (1.24 vs. 0.66, P<0.001) and lower SF-36 (28.63 vs. 58.22, P<0.001). Fatigue was more common in RA-FM patients (88.1% vs. 50.6%,P<0.001) and the degree of fatigue was significantly increased in RA-FM patients (fatigue VAS 5.55 vs. 3.55, P<0.001). RA-FM patients also had higher anxiety (10 vs.4, P<0.001) and depression scores (12 vs.6, P<0.001). erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), morning stiffness time and 28-swollen joint counts (SJC) showed no difference between these two groups. Conclusion: The Pollard’s classification criteria (2010) for RA-FM are feasible in Chinese rheumatoid arthritis patients. The Pollard’s classification criteria is highly sensitive in clinical application, while the relativelylow specificity indicates that various factors need to be considered in combination. RA patients with FM result in higher disease activity,worse function aland psychological status. RA patients with FM also have poorer quality of life. DAS-28 scores may be overestimated in RA patients with FM. In a RA patient thatdoes not reach remission, the possibility of fibromyalgia should be con-sidered.

Key words: Rheumatoid arthritis, Fibromyalgia, Classification

CLC Number: 

  • R593.22

Table 1

Demographic characteristics of RA patients with FM vs. those without FM"

Feature RA (n=160) RA-FM (n=42) P
Age/years, M(P25,P75) 64 (56, 71) 62.5 (56, 71.5) 0.779
Disease duration/years, M(P25,P75) 9 (4, 17.8) 11.5 (2, 21) 0.617
Gender, n(%) 0.567
Male 33 (20.6) 7 (16.7)
Female 127 (79.4) 35 (83.3)
Smoking, n(%) 144/160 (90.0) 37/42 (88.1) 0.939
Education, n(%) 0.584
Primary 26 (16.3) 9 (21.4)
Junior 47 (29.4) 11 (26.2)
Senior 41 (25.6) 14 (33.3)
Higher education 46 (28.8) 8 (19.0)
Race, n(%) 0.755
Han 152 (95.0) 41 (97.6)
Others 8 (5.0) 1 (2.4)
Marital status, n(%) 0.536
Married 155 (96.9) 42 (100.0)
Unmarried 5 (3.1) 0 (0)
Occupation, n(%) 0.792
Employed 16 (10.0) 2 (4.8)
Retired 113 (70.6) 30 (71.4)
Other 31 (19.4) 10 (23.8)

Table 2

Clinical and immunological characteristics of RA patients with FM vs. those without FM"

Feature RA (n=160) RA-FM (n=42) P
DAS28, x -±s 4.38±1.37 5.95±1.21 0.011
TJC, M(P25, P25) 4.5 (1, 8) 16.5 (10, 24) <0.001
SJC, M(P25, P25) 1 (0, 3.75) 2 (0.75, 4) 0.470
Morning stiffness/min, M(P25, P25) 15 (0, 60) 25 (3.75, 99) 0.062
CRP/(mg/dL), M(P25, P25) 14.89 (4.10, 36.14) 27.86 (2.95, 54.68) 0.152
ESR/(mm/h), M(P25, P25) 43.50 (17.00, 70.75) 50.50 (16.75, 76.50) 0.518

Table 3

Quality of life and functional status of RA patients with FM vs. those without FM"

Feature RA (n=160) RA-FM (n=42) P
HAQ, M(P25, P25) 0.66 (0.20, 0.90) 1.24 (0.26, 1.50) <0.001
VAS/cm, M(P25, P25) 3 (2, 5) 5 (3, 7) 0.01
SF36, M(P25, P25) 58.22 (47.26, 73.17) 28.63 (19.80, 39.97) <0.001

Table 4

Psychological and fatigue characteristics of RA patients with FM vs. those without FM"

Feature RA (n=160) RA-FM (n=42) P-value
Anxiety 4 (1, 7) 10 (8, 12) <0.001
Depressed 6 (3, 8) 12 (10, 15) <0.001
Fatigue 81/160 37/42 <0.001
Fatigue VAS 3.55 (1.00, 4.73) 5.55 (4.61, 5.91) <0.001
[1] Clauw DJ. Fibromyalgia: A clinical review[J]. JAMA, 2014, 311(15):1547-1555.
doi: 10.1001/jama.2014.3266
[2] Wolfe F, Ross K, Anderson J, et al. The prevalence and characteristics of fibromyalgia in the general population[J]. Arthritis Rheum, 1995, 38(1):19-28.
doi: 10.1002/art.v38:1
[3] Wolfe F, Clauw DJ, Fitzcharles MA, et al. Fibromyalgia criteria and severity scales for clinical and epidemiological studies: A modification of the ACR preliminary diagnostic criteria for fibromyalgia[J]. J Rheumatol, 2011, 38(6):1113-1122.
[4] Wolfe F, Häuser W, Hassett AL, et al. The development of fibromyalgia: Ⅰ examination of rates and predictors in patients with rheumatoid arthritis (RA)[J]. Pain, 2011, 152(2):291-299.
doi: 10.1016/j.pain.2010.09.027
[5] Vincent A, Lahr BD, Wolfe F, et al. Prevalence of fibromyalgia: A population-based study in olmsted county, minnesota, utilizing the rochester epidemiology project[J]. Arthritis Care Res (Hoboken), 2013, 65(5):786-792.
doi: 10.1002/acr.21896 pmid: 23203795
[6] Joharatnam N, McWilliams DF, Wilson D, et al. A cross-sectional study of pain sensitivity, disease-activity assessment, mental health, and fibromyalgia status in rheumatoid arthritis[J]. Arthritis Res Ther, 2015, 17(1):11.
doi: 10.1186/s13075-015-0525-5
[7] Kılıçarslan A, Yurdakul FG, Bodur H. Diagnosing fibromyalgia in rheumatoid arthritis: The importance of assessing disease activity[J]. Turk J Phys Med Rehabil, 2018, 64(2):133-139.
[8] Abbasi L, Haidri FR. Fibromyalgia complicating disease management in rheumatoid arthritis[J]. J Coll Physicians Surg Pak, 2014, 24(6):424-427.
[9] Pollard LC, Kingsley GH, Choy EH, et al. Fibromyalgic rheu-matoid arthritis and disease assessment[J]. Rheumatology (Oxford), 2010, 49(5):924-928.
doi: 10.1093/rheumatology/kep458 pmid: 20100795
[10] Wolfe F, Smythe HA, Yunus MB, et al. The American College of Rheumatology 1990 criteria for the classification of fibromyalgia[J]. Arthritis Rheum, 1990, 33(2):160-172.
doi: 10.1002/(ISSN)1529-0131
[11] Mu R, Li C, Zhu JX, et al. National survey of knowledge, attitude and practice of fibromyalgia among rheumatologists in China[J]. Int J Rheum Dis, 2013, 16(3):258-263.
doi: 10.1111/1756-185X.12055
[12] Queiroz LP. Worldwide epidemiology of fibromyalgia[J]. Curr Pain Headache Rep, 2013, 17(8):356.
doi: 10.1007/s11916-013-0356-5
[13] Wolfe F, Hauser W. Fihromyalgia diagnosis and diagnostic criteria[J]. Ann Med, 2011, 43(7):495-502.
doi: 10.3109/07853890.2011.595734
[14] Wolfe F, Clauw DJ, Fitzcharles MA, et al. 2016 Revisions to the 2010/2011 fibromyalgia diagnostic critera[J]. Semin Arthritis Rheum, 2016, 46(3):319-329.
doi: 10.1016/j.semarthrit.2016.08.012
[15] Kim H, Cui J, Frits M, et al. Fibromyalgia and the prediction of two-year changes in functional status in rheumatoid arthritis patients[J]. Arthritis Care Res (Hoboken), 2017, 69(12):1871-1877.
doi: 10.1002/acr.v69.12
[16] Gist AC, Guymer EK, Eades LE, et al. Fibromyalgia remains a significant burden in rheumatoid arthritis patients in Australia[J]. Int J Rheum Dis, 2018, 21(3):639-646.
doi: 10.1111/apl.2018.21.issue-3
[17] Macfarlane GJ, Kronisch C, Dean LE, et al. EULAR revised recommendations for the management of fibromyalgia[J]. Ann Rheum Dis, 2017, 76(2):318-328.
doi: 10.1136/annrheumdis-2016-209724 pmid: 27377815
[18] 焦娟, 贾园, 吴庆军, 等. 解读2017年欧洲抗风湿病联盟纤维肌痛治疗管理建议[J]. 中华风湿病学杂志, 2018, 22(1):68-69.
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