Journal of Korean Academy of Nursing (대한간호학회지)

Korean Society of Nursing Science (한국간호과학회)
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Correlates of Cognitive Impairment of Rheumatic Disease: Systematic Review and Meta-analysis

류마티스질환 환자의 인지손상과 관련된 요인 규명: 체계적 문헌고찰 및 메타분석

  • Mo, JinA (National Evidence-based Health Care Collaborating Agency) ;
  • Park, JiSuk (Department of Nursing, Inha University Hospital) ;
  • Oh, HyunSoo (Department of Nursing, Inha University)
  • Received : 2015.02.03
  • Accepted : 2015.10.11
  • Published : 2016.02.29
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Abstract

Purpose: This study was conducted to synthesis the results of research on relationships of cognitive impairment with multi-dimensional correlates of rheumatic disease through a systematic literature review and meta-analysis. Methods: For the study purpose, 23 studies were selected through a systematic process of searching the literature. Results: The study results showed that among general characteristics, age and education were the variables having a significant relationship with cognitive impairment. Among health risk factors, obesity appeared to have a significant positive relationship with cognitive impairment. For past history, diabetes and hypertension were shown to have a significant positive relationship with cognitive impairment. It was noted also that aPL, one of the physiological factor, had significant association with cognitive impairment. None of the medication related factors had a significant relationship with cognitive impairment. Results showed that among disease related factors, disease activity had the highest relationship with cognitive impairment. Depression, among psychological factors, was the only variable having a significant relationship with cognitive impairment. Conclusion: The findings indicate that the variables strongly impacting on cognitive impairment in rheumatic disease are depression and disease activity.

Keywords

References

  1. de Melo LF, Da-Silva SL. Neuropsychological assessment of cognitive disorders in patients with fibromyalgia, rheumatoid arthritis, and systemic lupus erythematosus. Revista Brasileira de Reumatologia. 2012;52(2):181-188. http://dx.doi.org/10.1590/S0482-50042012000200003
  2. Ministry of Health & Welfare, Korea Centers for Disease Control & Prevention. Korea health statistics 2011: Korea national health and nutrition examination survey (KNHANES V-2). Seoul: Author of Health & Welfare; 2012.
  3. Kim TH. Ankylosing spondylitis and woman. Journal of Rheumatic Diseases. 2012;19(4):171-172. http://dx.doi.org/10.4078/jrd.2012.19.4.171
  4. Bartolini M, Candela M, Brugni M, Catena L, Mari F, Pomponio G, et al. Are behaviour and motor performances of rheumatoid arthritis patients influenced by subclinical cognitive impairments? A clinical and neuroimaging study. Clinical and Experimental Rheumatology. 2002;20(4):491-497.
  5. Julian LJ, Yazdany J, Trupin L, Criswell LA, Yelin E, Katz PP. Validity of brief screening tools for cognitive impairment in rheumatoid arthritis and systemic lupus erythematosus. Arthritis Care & Research. 2012;64(3):448-454. http://dx.doi.org/10.1002/acr.21566
  6. Dick BD, Verrier MJ, Harker KT, Rashiq S. Disruption of cognitive function in fibromyalgia syndrome. Pain. 2008;139(3):610-616. http://dx.doi.org/10.1016/j.pain.2008.06.017
  7. Glass JM. Fibromyalgia and cognition. The Journal of Clinical Psychiatry. 2008;69(Suppl 2):20-24. https://doi.org/10.4088/JCP.0708e20
  8. Zachrisson O, Regland B, Jahreskog M, Kron M, Gottfries CG. A rating scale for fibromyalgia and chronic fatigue syndrome (the Fibro Fatigue scale). Journal of Psychosomatic Research. 2002;52(6):501-509. http://dx.doi.org/10.1016/S0022-3999(01)00315-4
  9. Hanly JG, Su L, Omisade A, Farewell VT, Fisk JD. Screening for cognitive impairment in systemic lupus erythematosus. The Journal of Rheumatology. 2012;39(7):1371-1377. http://dx.doi.org/10.3899/jrheum.111504
  10. Fava A, Plastino M, Cristiano D, Spano A, Cristofaro S, Opipari C, et al. Insulin resistance possible risk factor for cognitive impairment in fibromialgic patients. Metabolic Brain Disease. 2013;28(4):619-627. http://dx.doi.org/10.1007/s11011-013-9421-3
  11. Tomietto P, Annese V, D'Agostini S, Venturini P, La Torre G, De Vita S, et al. General and specific factors associated with severity of cognitive impairment in systemic lupus erythematosus. Arthritis and Rheumatism. 2007;57(8):1461-1472. http://dx.doi.org/10.1002/art.23098
  12. Can SS, Gencay-Can A. Assessment of cognitive function in patients with fibromyalgia using the clock drawing test. Journal of Musculoskeletal Pain. 2012;20(3):177-182. http://dx.doi.org/10.3109/10582452.2012.704145
  13. Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions version 5.1.0. London, UK: The Cochrane Collaboration; 2011.
  14. PRISMA. Preferred reporting items for systematic reviews and meta-analyses (PRISMA) [Internet]. London, UK: Author; 2013 [cited 2015 January 15]. Available from: http://www.prisma-statement.org/News.aspx.
  15. SIGN. The Scottish intercollegiate guidelines network (SIGN) [Internet]. Edinburgh, UK: Author; 2013 [cited 2015 January 15]. Available from: http://www.sign.ac.uk/methodology/index.html#.
  16. Winblad B, Palmer K, Kivipelto M, Jelic V, Fratiglioni L, Wahlund LO, et al. Mild cognitive impairment-beyond controversies, towards a consensus: Report of the international working group on mild cognitive impairment. Journal of Internal Medicine. 2004;256(3):240-246. http://dx.doi.org/10.1111/j.1365-2796.2004.01380.x
  17. Cummings G, Lee H, Macgregor T, Davey M, Wong C, Paul L, et al. Factors contributing to nursing leadership: A systematic review. Journal of Health Services Research and Policy. 2008;13(4):240-248. http://dx.doi.org/10.1258/jhsrp.2008.007154
  18. Bolanowski SJ, Gescheider GA, editors. Comprehensive meta-analysis: A computer program for research synthesis. Englewood, NJ: Biostat Inc.; 1991.
  19. Song HY. Meta analysis. Paju: Cheong Moon Gak Publishing Co.; 1998.
  20. Meguro K, Ishii H, Yamaguchi S, Ishizaki J, Sato M, Hashimoto R, et al. Prevalence and cognitive performances of clinical dementia rating 0.5 and mild cognitive impairment in Japan. The Tajiri project. Alzheimer Disease and Associated Disorders. 2004;18(1):3-10. http://dx.doi.org/10.1097/00002093-200401000-00002
  21. Sutton AJ, Duval SJ, Tweedie RL, Abrams KR, Jones DR. Empirical assessment of effect of publication bias on meta-analyses. BMJ: British Medical Journal. 2000;320(7249):1574-1577. https://doi.org/10.1136/bmj.320.7249.1574
  22. Bour A, Rasquin S, Boreas A, Limburg M, Verhey F. How predictive is the MMSE for cognitive performance after stroke? Journal of Neurology. 2010;257(4):630-637. http://dx.doi.org/10.1007/s00415-009-5387-9
  23. El-Shafey AM, Abd-El-Geleel SM, Soliman ES. Cognitive impairment in non-neuropsychiatric systemic lupus erythematosus. The Egyptian Rheumatologist. 2012;34(2):67-73. http://dx.doi.org/10.1016/j.ejr.2012.02.002
  24. Oh HS, Kim JS, Shim EB, Seo WS. Development and clinical validity of a mild vascular cognitive impairment assessment tool for Korean stroke patients. Asian Nursing Research. 2015;9(3):226-234. http://dx.doi.org/10.1016/j.anr.2015.04.005
  25. Park M, Sung MR, Kim SK, Lee DY. Comparison of demographic characteristics, comorbidity, and health habits of older adults with mild cognitive impairment and older adults with normal cognitive function. Journal of Korean Academy of Nursing. 2014;44(4):351-360. http://dx.doi.org/10.4040/jkan.2014.44.4.351
  26. Vidoni ED, Townley RA, Honea RA, Burns JM. Alzheimer disease biomarkers are associated with body mass index. Neurology. 2011;77(21):1913-1920. http://dx.doi.org/10.1212/WNL.0b013e318238eec1
  27. Reitz C, Tang MX, Manly J, Mayeux R, Luchsinger JA. Hypertension and the risk of mild cognitive impairment. Archives of Neurology. 2007;64(12):1734-1740. http://dx.doi.org/10.1001/archneur.64.12.1734
  28. Murray SG, Yazdany J, Kaiser R, Criswell LA, Trupin L, Yelin EH, et al. Cardiovascular disease and cognitive dysfunction in systemic lupus erythematosus. Arthritis Care & Research. 2012;64(9):1328-1333. http://dx.doi.org/10.1002/acr.21691
  29. Anderson JK, Zimmerman L, Caplan L, Michaud K. Measures of rheumatoid arthritis disease activity: Patient (PtGA) and Provider (PrGA) Global Assessment of Disease Activity, Disease Activity Score (DAS) and Disease Activity Score with 28-Joint Counts (DAS28), Simplified Disease Activity Index (SDAI), Clinical Disease Activity Index (CDAI), Patient Activity Score (PAS) and Patient Activity Score-II (PASII), Routine Assessment of Patient Index Data (RAPID), Rheumatoid Arthritis Disease Activity Index (RADAI) and Rheumatoid Arthritis Disease Activity Index-5 (RADAI-5), Chronic Arthritis Systemic Index (CASI), Patient-Based Disease Activity Score With ESR (PDAS1) and Patient-Based Disease Activity Score without ESR (PDAS2), and Mean Overall Index for Rheumatoid Arthritis (MOI-RA). Arthritis Care & Research. 2011;63(Suppl 11):S14-S36. http://dx.doi.org/10.1002/acr.20621
  30. Royall DR, Palmer RF. Alzheimer's disease pathology does not mediate the association between depressive symptoms and subsequent cognitive decline. Alzheimer's & Dementia. 2013;9(3):318-325. http://dx.doi.org/10.1016/j.jalz.2011.11.009

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