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Cognitive dysfunction in adult patients with neuromyelitis optica: a systematic review and meta-analysis

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Abstract

The objective of this study was to investigate cognitive dysfunction in 24–60-year-old neuromyelitis optica (NMO) patients, demographically matched healthy subjects, and MS patients. We conducted a comprehensive literature review of the PubMed, Medline, EMBASE, CNKI, Wan Fang Date, Web of Science, and Cochrane Library databases from inception to May 2016 for case–control studies that reported cognitive test scores in NMO patients, healthy subjects, and MS patients. Outcome measures were cognitive function evaluations, including performance on attention, language, memory, information processing speed, and executive function tests. The meta-analysis included eight studies. NMO patients performed significantly worse on attention (P < 0.00001), language (P = 0.00008), memory (P = 0.00004), information processing speed (P < 0.00001), and executive function tests (P = 0.00009) than healthy subjects. There were no significant differences in performance between NMO patients and MS patients on these tests. This meta-analysis indicates that NMO patients aged 24–60 years have significantly worse cognitive performance than demographically matched healthy subjects. However, this was comparable to the performance of demographically matched MS patients. There is a need for further rigorous randomized controlled trials with focus on elucidating the underlying mechanism of cognitive dysfunction in NMO patients.

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References

  1. Wingerchuk DM, Wingerchuk DM, Pittock SJ, Lucchinetti CF, Weinshenker BG (2006) Revised diagnostic criteria for neuromyelitis optica. Neurology 66:1485–1489

    Article  CAS  PubMed  Google Scholar 

  2. Jarius S, Wildemann B (2013) The history of neuromyelitis optica. J Neuroinflam 10(1):8

    Google Scholar 

  3. Wingerchuk DMHW, Weinshenker BG, Wingerchuk DMHW (1999) The clinical course of neuromyelitis optica (Devic’s syndrome). Neurology 53(5):1107–1114

    Article  CAS  PubMed  Google Scholar 

  4. Wingerchuk DM, Lennon VA, Lucchinetti CF et al (2007) The spectrum of neuromyelitis optica. Lancet Neurol 6(9):805–815

    Article  CAS  PubMed  Google Scholar 

  5. Ruiz-Gaviria R, Baracaldo I, Castaneda C et al (2015) Specificity and sensitivity of aquaporin 4 antibody detection tests in patients with neuromyelitis optica: a meta-analysis. Multiple Sclerosis Related Dis 4(4):345–349

    Article  Google Scholar 

  6. Argyriou AA, Makris N (2008) Neuromyelitis optica: a distinct demyelinating disease of the central nervous system. Acta Neurol Scand 118(4):209–217

    Article  CAS  PubMed  Google Scholar 

  7. Pittock SJ, Lucchinetti CF et al (2006) Neuromyelitis optica brain lesions localized at sites of high aquaporin 4 expression. Arch Neurol 63(7):964–968

    Article  PubMed  Google Scholar 

  8. Roemer SF, Parisi JE, Lennon VA et al (2007) Pattern-specific loss of aquaporin-4 immunoreactivity distinguishes neuromyelitis optica from multiple sclerosis. Brain J Neurol 130(Pt 5):1194–1205

    Article  Google Scholar 

  9. Hinson SR, Lucchinetti CF et al (2007) Pathogenic potential of IgG binding to water channel extracellular domain in neuromyelitis optica. Neurology 69(4):2221–2231

    Article  CAS  PubMed  Google Scholar 

  10. Lennon VA, Wingerchuk DM, Kryzer TJ et al (2004) A serum autoantibody marker of neuromyelitis optica: distinction from multiple sclerosis. Lancet 364(9451):2106–2112

    Article  CAS  PubMed  Google Scholar 

  11. Matiello M, Schaefer-Klein J, Sun D et al (2013) Aquaporin 4 expression and tissue susceptibility to neuromyelitis optica. JAMA Neurol 70(9):1118–1125

    Article  PubMed  Google Scholar 

  12. Wingerchuk DM, Bennett JL et al (2015) International consensus diagnostic criteria for neuromyelitis optica spectrum disorders. Neurology 85:177–189

    Article  PubMed  PubMed Central  Google Scholar 

  13. Pactrims invited lecture/ordinary submission (2015). Mult Scler J 21(6):799–838

  14. Rao SM, Ellington L, Nauertz T, Bernardin L, Unverzagt F (1991) Cognitive dysfunction in multiple sclerosis. II. Impact on employment and social functioning. Neurology 41(5):692–696

    Article  CAS  PubMed  Google Scholar 

  15. Magliozzi R, Howell O, Vora A et al (2007) Meningeal B-cell follicles in secondary progressive multiple sclerosis associate with early onset of disease and severe cortical pathology. Brain J Neurol 130(Pt 4):1089–1104

    Google Scholar 

  16. Trapp BD, Stys PK (2009) Virtual hypoxia and chronic necrosis of demyelinated axons in multiple sclerosis. Lancet Neurol 8(3):280–291

    Article  CAS  PubMed  Google Scholar 

  17. Chanson JB, Zephir H, Collongues N et al (2011) Evaluation of health-related quality of life, fatigue and depression in neuromyelitis optica. Euro J Neurol 18(6):836–841

    Article  Google Scholar 

  18. Kim JE, Kim SM, Ahn SW et al (2011) Brain abnormalities in neuromyelitis optica. J Neurol Sci 302(1–2):43–48

    Article  PubMed  Google Scholar 

  19. Filippi M, Moiola L, Martinelli V, Ghezzi A, Capra R, Salvi F, Comi G (1999) MRI and magnetization transfer imaging changes in the brain and cervical cord of patients with Devic’s neuromyelitis optica. Neurology 53(8):1705–1710

    Article  CAS  PubMed  Google Scholar 

  20. Stroup DF, Morton SC, Olkin I, Williamson GD, Rennie D, Moher D, Becker BJ, Sipe TA, Thacker SB (2000) Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 283:2008–2012

    Article  CAS  PubMed  Google Scholar 

  21. Knobloch K, Yoon U, Vogt PM (2011) Preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement and publication bias. J Cranio-Maxillo-Facial Surg Off Publ Euro Assoc Cranio-Maxillo-Facial Surg 39(2):91–92

    Article  Google Scholar 

  22. Green S (2005) MS. Cochrane Collaboration: more than systematic reviews? Intern Med J. 35(1):3–4

    Article  CAS  PubMed  Google Scholar 

  23. Rogers JM, Panegyres PK (2007) Cognitive impairment in multiple sclerosis: evidence-based analysis and recommendations. J Clin Neurosci Off J Neurosurg Soc Austral 14(10):919–927

    Google Scholar 

  24. Sartori E, Edan G (2006) Assessment of cognitive dysfunction in multiple sclerosis. J Neurol Sci 245(1–2):169–175

    Article  PubMed  Google Scholar 

  25. Ford ES (2005) Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence. Diabetes Care 28:1769–1778

    Article  PubMed  Google Scholar 

  26. Stang A (2010) Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Euro J Epidemiol 25(9):603–605

    Article  Google Scholar 

  27. DerSimonian R (1986) LN. Meta-analysis in clinical trials. Control Clin Trials 7(3):177–188

    Article  CAS  PubMed  Google Scholar 

  28. Higgins JP, Thompson SG, Deeks JJ et al (2003) Measuring inconsistency in meta-analyses. BMJ 327:557–560

    Article  PubMed  PubMed Central  Google Scholar 

  29. Blanc F, Lebrun C, Labauge P, Castelnovo G, Fleury M, Sellal F, Tranchant C, Dujardin K, Vermersch P, de Seze J (2008) Cognitive functions in neuromyelitis optica. Arch Neurol 65(1):84–88

    Article  PubMed  Google Scholar 

  30. Vanotti S, Eizaguirre B, Melamud L, Rey R, Villa A (2013) Cognitive performance of neuromyelitis optica patients: comparison with multiple sclerosis. Arq Neuropsiquiatr 71(6):357–361

    Article  PubMed  Google Scholar 

  31. Kim SH, Jeong IH, Hyun JW, Jo HJ, Joung A, Yu ES, Kim JH, Lee SH, Yun S, Joo J, Lee DK, Lee JM, Kim HJ (2016) Cognitive impairment differs between neuromyelitis optica spectrum disorder and multiple sclerosis. Mult Scler

  32. Liu Y, Xie T, He Y et al (2014) Cortical thinning correlates with cognitive change in multiple sclerosis but not in neuromyelitis optica. Euro Radiol 24(9):2334–2343

    Article  Google Scholar 

  33. Rao SM, Cognitive Function Study Group of the National Multiple Sclerosis Society (1990) A Manual for the Brief, Repeatable Battery of Neuropsychological Tests in Multiple Sclerosis. WI: Section of Neuropsychology, editor. Milwaukee.: Medical College of Wisconsin

  34. Liu Y, Schoonheim MM, Zhang N, Fan M, Su L, Shen Y, Yan Y, Yang L, Wang Q, Zhang N, Yu C, Barkhof F, Shi FD (2015) Structural MRI substrates of cognitive impairment in neuromyelitis optica. Neurology 85(17):1491–1499

    Article  PubMed  Google Scholar 

  35. Lorena Blanco-Rojas AA, David C, Marta G-O, Joan Carles OM, Olga P (2013) Cognitive profile in patients with a first-ever lacunar infarct with and without silent lacunes: a comparative study. BMC Neurol 13(1):462–465

    Google Scholar 

  36. A, S. SDMT (Symbol Digit Modalities Test) (2012) Test De Símbolos Y Dígitos (Juego Completo, Ref. 2N0700). Tea Ediciones

  37. He D, Chen X, Zhao D et al (2011) Cognitive function, depression, fatigue, and activities of daily living in patients with neuromyelitis optica after acute relapse. Int J Neurosci 121(12):677–683

    Article  PubMed  Google Scholar 

  38. He D, Wu Q, Chen X et al (2012) Cognitive impairment and whole brain diffusion in patients with neuromyelitis optica after acute relapse. Brain Cogn 77(1):80–88

    Article  Google Scholar 

  39. Zhang N, Fu Y, Shao JH, Luo LL, Yang L, Shi FD, Liu Y (2015) Cognitive impairment in Chinese neuromyelitis optica. Mult Scler 21(14):1839–1846

    Article  PubMed  Google Scholar 

  40. I, KS (2016) Neuromyelitis Optica Spectrum Disorders. Continuum (Minneap Minn) 22(3, Multiple Sclerosis and Other Demyelinating Diseases):864–896

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Acknowledgements

This study was supported by the National Natural Science Foundation of China (No. 81471215 and No. 81271211 to Jun Xu).

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Correspondence to Jun Xu.

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All authors have declared that there are no conflicts of interest in relation to the subject of this article.

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Meng, H., Xu, J., Pan, C. et al. Cognitive dysfunction in adult patients with neuromyelitis optica: a systematic review and meta-analysis. J Neurol 264, 1549–1558 (2017). https://doi.org/10.1007/s00415-016-8345-3

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  • DOI: https://doi.org/10.1007/s00415-016-8345-3

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