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Discrepancy between subjective and objective measures of cognitive impairment in patients with rheumatoid arthritis

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Abstract

This study explored the discrepancy between perceived cognitive dysfunction and computerized neuropsychological test performance in Korean patients with RA. Individuals with RA were recruited by their rheumatologists during follow-up visits at one hospital in Korea. After getting signed consents, a trained research nurse assessed participants with a range of physical, psychosocial, and biological metrics. Subjective cognitive dysfunction was assessed using the Perceived Deficits Questionnaire (PDQ; range 0–20). Objective cognitive impairment was assessed using a set of 6 computerized neurocognitive tests yielding 12 indices covering a range of cognitive domains. Subjects were classified as ‘impaired’ if they performed 1 SD below age-based population norms on each test. A total cognitive function score was calculated by summing the transformed scores (range 0–12). Multiple linear regression analyses determined the relationship of total cognitive function score with PDQ score, controlling for disease activity, functional limitations, and psychological factors. Forty subjects (mean ± SD age: 63.1 ± 11.4 years) were included. Mean ± SD scores of total cognitive function and PDQ were 7.3 ± 2.7 (2–12) and 11.8 ± 5.1 (5–25), respectively. In multivariate analysis, there was no significant relationship between total cognitive function score and PDQ score. However, depression and sleep quality (β = 0.37, p = 0.025; β = 0.17, p = 0.034) were significantly associated with PDQ score. The findings emphasize the gap between subjective and objective measures of cognitive impairment and the importance of considering psychological factors within the context of cognitive complaints in clinical settings.

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References

  1. Sung YK, Cho SK, Choi CB, Bae SC (2013) Prevalence and incidence of rheumatoid arthritis in South Korea. Rheumatol Int 33(6):1525–1532

    Article  PubMed  Google Scholar 

  2. Abeare CA, Cohen JL, Axelrod BN, Leisen JCC, Mosley-Williams A, Lumley MA (2010) Pain, executive functioning, and affect in patients with rheumatoid arthritis. Clin J Pain 26:683–689

    PubMed  PubMed Central  Google Scholar 

  3. Meyer JS, Rauch GM, Rauch RA, Haque A, Crawford K (2000) Cardiovascular and other risk factors for Alzheimer’s disease and vascular dementia. Ann N Y Acad Sci 903:411–423

    Article  CAS  PubMed  Google Scholar 

  4. Appenzeller S, Bertolo MB, Costallat LT (2004) Cognitive impairment in rheumatoid arthritis. Methods Find Exp Clin Pharmacol 26:339–343

    Article  CAS  PubMed  Google Scholar 

  5. Bartolini M, Candela M, Brugni M, Catena L, Mari F, Pomponio G et al (2002) Are behaviour and motor performances of rheumatoid arthritis patients influenced by subclinical cognitive impairments? A clinical and neuroimaging study. Clin Exp Rheumatol 20:491–497

    CAS  PubMed  Google Scholar 

  6. Shin SY, Katz P, Wallhagen M, Julian L (2012) Cognitive impairment in persons with rheumatoid arthritis. Arthritis Care Res 64:1144–1150

    Article  Google Scholar 

  7. Julian L, Merluzzi N, Mohr D (2007) The relationship among depression, subjective cognitive impairment, and neuropsychological performance in multiple sclerosis. Mult Scler 13:81–86

    Article  CAS  PubMed  Google Scholar 

  8. Middleton LS, Denney DR, Lynch SG, Parmenter B (2006) The relationship between perceived and objective cognitive functioning in multiple sclerosis. Arch Clin Neuropsychol 21:487–494

    Article  PubMed  Google Scholar 

  9. Maor Y, Olmer L, Mozes B (2001) The relation between objective and subjective impairment in cognitive function among multiple sclerosis patients-the role of depression. Mult Scler 7(2):131–135

    CAS  PubMed  Google Scholar 

  10. Ritvo P, Fischer J, Miller D, Andrews H, Paty D, LaRocca N (1997) MSQLI-Multiple Sclerosis Quality of Life Inventory. A user’s manual. National Multiple Sclerosis Society, New York, pp 1–65

    Google Scholar 

  11. Fischer J, LaRocca N, Miller D, Ritvo P, Andrews H, Paty D (1999) Recent developments in the assessment of quality of life in multiple sclerosis (MS). Mult Scler 5:251–259

    Article  CAS  PubMed  Google Scholar 

  12. Dilorenzo T, Halper J, Picone MA (2003) Reliability and validity of the Multiple Sclerosis Quality of Life Inventory in older individuals. Disabil Rehabil 25:891–897

    Article  PubMed  Google Scholar 

  13. Marrie RA, Miller DM, Chelune GJ, Cohen JA (2003) Validity and reliability of the MSQ LI in cognitively impaired patients with multiple sclerosis. Mult Scler 9:621–626

    Article  PubMed  Google Scholar 

  14. Ha KS, Kwon JS, Lyoo IK, Kong SW, Lee DW, Youn T (2002) Development and standardization process, and factor analysis of the computerized cognitive function test system for Korea adults. J Korean Neuropsychiatr Assoc 41:551–562

    Google Scholar 

  15. Kim YH, Kho MH, Seo JH, Park SH, Kim GS, Jang EH, Park SW, Park JH, Cho YJ (2003) Effect of computer-assisted cognitive rehabilitation program for attention training in brain injury. Ann Rehab Med 27:830–839

    Google Scholar 

  16. Park JI, Lee HJ, Cho HJ (2004) Neuropsychological functioning in detoxified alcoholics by Seoul Computerized Neurocognitive Function Test. J Korean Neuropsychiatr Assoc 43:570–576

    Google Scholar 

  17. Many Z (1999) The American College of Rheumatology nomenclature and case definitions for neuropsychiatric lupus syndromes. Arthritis Rheum 42:599–608

    Article  Google Scholar 

  18. Kozora E, Ellison M, West S (2004) Reliability and validity of the proposed American College of Rheumatology neuropsychological battery for systemic lupus erythematosus. Arthritis Care Res 51:810–818

    Article  Google Scholar 

  19. Kozora E, Arciniegas DB, Zhang L, West S (2007) Neuropsychological patterns in systemic lupus erythematosus patients with depression. Arthritis Res Ther 9:R48

    Article  PubMed  PubMed Central  Google Scholar 

  20. Kozora E, Thompson L, West S, Kotzin B (1996) Analysis of cognitive and psychological deficits in systemic lupus erythematosus patients without overt central nervous system disease. Arthritis Rheum 39:2035–2045

    Article  CAS  PubMed  Google Scholar 

  21. Prevoo ML, van’t Hof MA, Kuper HH, van Leeuwen MA, van de Putte LB, van Riel PL (1995) Modified disease activity scores that include twenty-eight-joint counts. Development and validation in a prospective longitudinal study of patients with rheumatoid arthritis. Arthritis Rheum 38:44–48

    Article  CAS  PubMed  Google Scholar 

  22. Anderson J, Caplan L, Yazdany J, Robbins ML, Neogi T, Michaud K, Saag KG, O’Dell JR, Kazi S (2012) Rheumatoid arthritis disease activity measures: American College of Rheumatology recommendations for use in clinical practice. Arthritis Care Res 64:640–647

    Article  Google Scholar 

  23. Fries J, Spitz P, Kraines R, Holman H (1980) Measurement of patient outcome in arthritis. Arthritis Rheum 23:137–145

    Article  CAS  PubMed  Google Scholar 

  24. Bae SC, Cook EF, Kim SY (1998) Psychometric evaluation of a Korean Health Assessment Questionnaire for clinical research. J Rheumatol 25:1975–1979

    CAS  PubMed  Google Scholar 

  25. Fries J, Spitz P, Young D (1982) The dimensions of health outcomes: the health assessment questionnaire, disability and pain scales. J Rheumatol 9:789–793

    CAS  PubMed  Google Scholar 

  26. McDowell I (2006) Measuring health: a guide to rating scales and questionnaires. Oxford University Press, USA

    Book  Google Scholar 

  27. Sheikh JI, Yesavage JA (1986) Geriatric Depression Scale (GDS): recent evidence and development of a shorter version Clinical Gerontology: a Guide to Assessment and Intervention. The Haworth Press, NY, pp 165–173

    Google Scholar 

  28. Bae JN, Cho MJ (2004) Development of the Korean version of the Geriatric Depression Scale and its short form among elderly psychiatric patients. J Psychosom Res 57:297–305

    Article  PubMed  Google Scholar 

  29. Belza BL, Henke CJ, Yelin EH, Epstein WV, Gilliss CL (1993) Correlates of fatigue in older adults with rheumatoid arthritis. Nurs Res 42:93–99

    Article  CAS  PubMed  Google Scholar 

  30. Belza BL (1995) Comparison of self-reported fatigue in rheumatoid arthritis and controls. J Rheumatol 22:639–643

    CAS  PubMed  Google Scholar 

  31. Fraser RT, Johnson EK, Clemmons DC, Getter A, Johnson KL, Gibbons L (2003) Vocational rehabilitation in multiple sclerosis (MS): a profile of clients seeking services. Work 21:69–76

    CAS  PubMed  Google Scholar 

  32. Lee KS, Lee EO (1998) Validity and reliability of translated multidimensional assessment of fatigue scale for the patients with rheumatoid arthritis. J Muscle Jt Health 5:206–221

    Google Scholar 

  33. Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ (1989) The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 28:193–213

    Article  CAS  PubMed  Google Scholar 

  34. Sohn SI, Kim DH, Lee MY, Cho YW (2012) The reliability and validity of the Korean version of the Pittsburgh Sleep Quality Index. Sleep Breath 16:803–812

    Article  PubMed  Google Scholar 

  35. van Dam FS, Schagen SB, Muller MJ, Boogerd W, vd Wall E, Droogleever Fortuyn ME, Rodenhuis S (1998) Impairment of cognitive function in women receiving adjuvant treatment for high-risk breast cancer: high-dose versus standard-dose chemotherapy. J Natl Cancer Inst 90:210–218

    Article  PubMed  Google Scholar 

  36. Cull A, Hay C, Love SB, Mackie M, Smets E, Stewart M (1996) What do cancer patients mean when they complain of concentration and memory problems? Br J Cancer 74:1674–1679

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Vermeulen J, Aldenkamp AP, Alpherts WC (1993) Memory complaints in epilepsy: correlations with cognitive performance and neuroticism. Epilepsy Res 15:157–170

    Article  CAS  PubMed  Google Scholar 

  38. Margaretten M, Julian L, Katz P, Yelin E (2011) Depression in patients with rheumatoid arthritis: description, causes and mechanisms. Int J Clin Rheumtol 6:617–623

    Article  PubMed  PubMed Central  Google Scholar 

  39. Goes AC, Reis LA, Silva MB, Kahlow BS, Skare TL (2016) Rheumatoid arthritis and sleep quality. Rev Bras Reumatol

  40. Feldthusen C, Grimby-Ekman A, Forsblad-d’Elia H, Jacobsson L, Mannerkorpi K (2016) Explanatory factors and predictors of fatigue in persons with rheumatoid arthritis: a longitudinal study. J Rehabil Med 48:469–476

    Article  PubMed  Google Scholar 

  41. Shin SY, Katz P, Julian L (2013) Relationship between perceived cognitive dysfunction and objective neuropsychological performance in persons with rheumatoid arthritis. Arthritis Care Res 65:481–486

    Article  Google Scholar 

  42. Julian LJ (2011) Cognitive functioning in multiple sclerosis. Neurol Clin 29:507–525

    Article  PubMed  Google Scholar 

Download references

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Correspondence to So Young Shin.

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Informed consent was obtained from all participants included in the study.

Funding source

This study was supported by the 2015 Inje University Research Grant (No. 20151092).

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No conflict of interest has been reported by the authors.

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Yoon, B., Lee, JH. & Shin, S.Y. Discrepancy between subjective and objective measures of cognitive impairment in patients with rheumatoid arthritis. Rheumatol Int 37, 1635–1641 (2017). https://doi.org/10.1007/s00296-017-3806-2

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  • DOI: https://doi.org/10.1007/s00296-017-3806-2

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