치매 환자에서 뇌 자기공명영상의 특징과 비정형 항정신병 약제 사용여부의 상관 관계

Association between Characteristics of Brain Magnetic Resonance Imaging and Atypical Antipsychotics Use in Dementia Patients

  • 최종택 (순천향대학교 서울병원 정신건강의학과) ;
  • 김지원 (순천향대학교 서울병원 정신건강의학과) ;
  • 노양호 (순천향대학교 서울병원 정신건강의학과) ;
  • 류석환 (순천향대학교 구미병원 정신건강의학과) ;
  • 우성일 (순천향대학교 서울병원 정신건강의학과) ;
  • 한상우 (순천향대학교 서울병원 정신건강의학과) ;
  • 황재욱 (순천향대학교 서울병원 정신건강의학과)
  • Choi, Jongtaek (Department of Psychiatry, Soonchunhyang University Hospital Seoul) ;
  • Kim, Jiwon (Department of Psychiatry, Soonchunhyang University Hospital Seoul) ;
  • Roh, Yangho (Department of Psychiatry, Soonchunhyang University Hospital Seoul) ;
  • Rhu, Sukhwan (Department of Psychiatry, Soonchunhyang University Gumi Hospital) ;
  • Woo, Sungil (Department of Psychiatry, Soonchunhyang University Hospital Seoul) ;
  • Hahn, Sangwoo (Department of Psychiatry, Soonchunhyang University Hospital Seoul) ;
  • Hwang, Jaeuk (Department of Psychiatry, Soonchunhyang University Hospital Seoul)
  • 투고 : 2013.05.16
  • 심사 : 2013.06.20
  • 발행 : 2013.08.31

초록

Objectives We aimed to identify the neuroimaging marker for prediction of the use of atypical antipsychotics (AAP) in dementia patients. Methods From April 2010 to March 2013, 31 patients who were diagnosed as dementia at the psychiatric department of Soonchunhyang University Hospital, completed the brain magnetic resonance imaging scan and cognitive test for dementia. Ten patients were treated with AAP for the improvement of behavioral and psychological symptoms of dementia (BPSD) and the other 21patients were not. Using T1 weighted and Fluid Attenuated Inversion Recovery (FLAIR) images of brain, areas of white matter (WM), gray matter (GM), cerebrospinal fluid (CSF) and white matter hyperintensities (WMH) have been segmented and measured. Multivariate logistic regression models were applied for assessment of association between AAP use and the GM/WM ratio, the WMH/whole brain (GM + WM + CSF) ratio. Results There was a significant association between AAP use and the GM/WM ratio (odds ratio, OR = 1.18, 95% confidence interval, CI 1.01-1.38, p = 0.037), while there was no association between AAP use and the WMH/whole brain ratio (OR = 0.82, 95% CI 0.27-2.48, p = 0.73). Conclusions The GM/WM ratio could be a biological marker for the prediction of AAP use and BPSD in patients with dementia. It was more likely to increase as dementia progress since atrophy of WM was more prominent than that of GM over aging.

키워드

참고문헌

  1. Fernandez M, Gobartt AL, Balana M; COOPERA Study Group. Be havioural symptoms in patients with Alzheimer's disease and their association with cognitive impairment. BMC Neurol 2010;10:87. https://doi.org/10.1186/1471-2377-10-87
  2. Piccininni M, Di Carlo A, Baldereschi M, Zaccara G, Inzitari D. Behavioral and psychological symptoms in Alzheimer's disease: frequency and relationship with duration and severity of the disease. Dement Geriatr Cogn Disord 2005;19:276-281. https://doi.org/10.1159/000084552
  3. Assal F, Cummings JL. Neuropsychiatric symptoms in the dementias. Curr Opin Neurol 2002;15:445-450. https://doi.org/10.1097/00019052-200208000-00007
  4. Shin IS, Carter M, Masterman D, Fairbanks L, Cummings JL. Neuropsychiatric symptoms and quality of life in Alzheimer disease. Am J Geriatr Psychiatry 2005;13:469-474. https://doi.org/10.1097/00019442-200506000-00005
  5. Berger G, Bernhardt T, Weimer E, Peters J, Kratzsch T, Frolich L. Longitudinal study on the relationship between symptomatology of dementia and levels of subjective burden and depression among family caregivers in memory clinic patients. J Geriatr Psychiatry Neurol 2005;18:119-128. https://doi.org/10.1177/0891988704273375
  6. Beeri MS, Werner P, Davidson M, Noy S. The cost of behavioral and psychological symptoms of dementia (BPSD) in community dwelling Alzheimer's disease patients. Int J Geriatr Psychiatry 2002;17: 403-408. https://doi.org/10.1002/gps.490
  7. Ballard C, Waite J. The effectiveness of atypical antipsychotics for the treatment of aggression and psychosis in Alzheimer's disease. Cochrane Database Syst Rev 2006:CD003476.
  8. Liperoti R, Pedone C, Corsonello A. Antipsychotics for the treatment of behavioral and psychological symptoms of dementia (BPSD). Curr Neuropharmacol 2008;6:117-124. https://doi.org/10.2174/157015908784533860
  9. Chui HC, Lyness SA, Sobel E, Schneider LS. Extrapyramidal signs and psychiatric symptoms predict faster cognitive decline in Alzheimer's disease. Arch Neurol 1994;51:676-681. https://doi.org/10.1001/archneur.1994.00540190056015
  10. FDA.gov [homepage on the Internet]. Public Health Advisory: Deaths with Antipsychotics in Elderly Patients with Behavioral Disturbances [undated 2013 Aug 16; cited 2005 Apr 11]. Available from: http:// www.fda.gov/.
  11. Craig AH, Cummings JL, Fairbanks L, Itti L, Miller BL, Li J, et al. Cerebral blood flow correlates of apathy in Alzheimer disease. Arch Neurol 1996;53:1116-1120. https://doi.org/10.1001/archneur.1996.00550110056012
  12. Benoit M, Koulibaly PM, Migneco O, Darcourt J, Pringuey DJ, Robert PH. Brain perfusion in Alzheimer's disease with and without apathy: a SPECT study with statistical parametric mapping analysis. Psychiatry Res 2002;114:103-111. https://doi.org/10.1016/S0925-4927(02)00003-3
  13. Ott BR, Noto RB, Fogel BS. Apathy and loss of insight in Alzheimer's disease: a SPECT imaging study. J Neuropsychiatry Clin Neurosci 1996;8:41-46. https://doi.org/10.1176/jnp.8.1.41
  14. Staff RT, Shanks MF, Macintosh L, Pestell SJ, Gemmell HG, Venneri A. Delusions in Alzheimer's disease: spet evidence of right hemispheric dysfunction. Cortex 1999;35:549-560. https://doi.org/10.1016/S0010-9452(08)70818-9
  15. Bruen PD, McGeown WJ, Shanks MF, Venneri A. Neuroanatomical correlates of neuropsychiatric symptoms in Alzheimer's disease. Brain 2008;131(Pt 9):2455-2463. https://doi.org/10.1093/brain/awn151
  16. Rosen HJ, Allison SC, Schauer GF, Gorno-Tempini ML, Weiner MW, Miller BL. Neuroanatomical correlates of behavioural disorders in dementia. Brain 2005;128(Pt 11):2612-2625. https://doi.org/10.1093/brain/awh628
  17. Krishnan KR, Taylor WD, McQuoid DR, MacFall JR, Payne ME, Provenzale JM, et al. Clinical characteristics of magnetic resonance imaging-defined subcortical ischemic depression. Biol Psychiatry 2004;55:390-397. https://doi.org/10.1016/j.biopsych.2003.08.014
  18. Berlow YA, Wells WM, Ellison JM, Sung YH, Renshaw PF, Harper DG. Neuropsychiatric correlates of white matter hyperintensities in Alzheimer's disease. Int J Geriatr Psychiatry 2010;25:780-788.
  19. Brickman AM, Honig LS, Scarmeas N, Tatarina O, Sanders L, Albert MS, et al. Measuring cerebral atrophy and white matter hyperintensity burden to predict the rate of cognitive decline in Alzheimer disease. Arch Neurol 2008;65:1202-1208.
  20. Ge Y, Grossman RI, Babb JS, Rabin ML, Mannon LJ, Kolson DL. Agerelated total gray matter and white matter changes in normal adult brain. Part I: volumetric MR imaging analysis. AJNR Am J Neuroradiol 2002;23:1327-1333.
  21. Gibson E, Gao F, Black SE, Lobaugh NJ. Automatic segmentation of white matter hyperintensities in the elderly using FLAIR images at 3T. J Magn Reson Imaging 2010;31:1311-1322. https://doi.org/10.1002/jmri.22004
  22. CalvÓ-Perxas L, de Eugenio RM, Marquez-Daniel F, Martínez R, Serena J, Turbau J, et al. Profile and variables related to antipsychotic consumption according to dementia subtypes. Int Psychogeriatr 2012; 24:940-947. https://doi.org/10.1017/S1041610212000026
  23. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders: text revision. 4th ed. Washington DC: American Psychiatric Association;2000.
  24. Kang Y, Na DL, Hahn S. A validity study on the Korean Mini-Mental State Examination (K-MMSE) in dementia patients. J Korean Neurol Assoc 1997;15:300-308.
  25. Choi SH, Na DL, Lee BH, Hahm DS, Jeong JH, Yoon SJ, et al. Estimating the Validity of the Korean Version of Expanded Clinical Dementia Rating (CDR) Scale. J Korean Neurol Assoc 2001;19:585-591.
  26. Sled JG, Zijdenbos AP, Evans AC. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 1998;17:87-97. https://doi.org/10.1109/42.668698
  27. Ashburner J, Friston KJ. Voxel-based morphometry--the methods. Neuroimage 2000;11(6 Pt 1):805-821. https://doi.org/10.1006/nimg.2000.0582
  28. Luders E, Gaser C, Jancke L, Schlaug G. A voxel-based approach to gray matter asymmetries. Neuroimage 2004;22:656-664. https://doi.org/10.1016/j.neuroimage.2004.01.032
  29. Dempster AP, Laird NM, Rubin DB. Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society, Series B 1977;39:1-38.
  30. Guttmann CR, Jolesz FA, Kikinis R, Killiany RJ, Moss MB, Sandor T, et al. White matter changes with normal aging. Neurology 1998;50: 972-978. https://doi.org/10.1212/WNL.50.4.972
  31. Alves GS, O'Dwyer L, Jurcoane A, Oertel-Knochel V, Knochel C, Prvulovic D, et al. Different patterns of white matter degeneration using multiple diffusion indices and volumetric data in mild cognitive impairment and Alzheimer patients. PLoS One 2012;7:e52859. https://doi.org/10.1371/journal.pone.0052859
  32. Acosta-Cabronero J, Williams GB, Pengas G, Nestor PJ. Absolute diffusivities define the landscape of white matter degeneration in Alzheimer's disease. Brain 2010;133(Pt 2):529-539. https://doi.org/10.1093/brain/awp257
  33. Bosch B, Arenaza-Urquijo EM, Rami L, Sala-Llonch R, Junque C, Sole-Padulles C, et al. Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance. Neurobiol Aging 2012;33:61-74. https://doi.org/10.1016/j.neurobiolaging.2010.02.004
  34. Salat DH, Tuch DS, van der Kouwe AJ, Greve DN, Pappu V, Lee SY, et al. White matter pathology isolates the hippocampal formation in Alzheimer's disease. Neurobiol Aging 2010;31:244-256. https://doi.org/10.1016/j.neurobiolaging.2008.03.013
  35. O'Dwyer L, Lamberton F, Bokde AL, Ewers M, Faluyi YO, Tanner C, et al. Multiple indices of diffusion identifies white matter damage in mild cognitive impairment and Alzheimer's disease. PLoS One 2011; 6:e21745. https://doi.org/10.1371/journal.pone.0021745
  36. SjÖbeck M, Haglund M, Englund E. Decreasing myelin density reflected increasing white matter pathology in Alzheimer's disease--a neuropathological study. Int J Geriatr Psychiatry 2005;20:919-926. https://doi.org/10.1002/gps.1384
  37. Bartzokis G. Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer's disease. Neurobiol Aging 2004; 25:5-18; author reply 49-62. https://doi.org/10.1016/j.neurobiolaging.2003.03.001
  38. Li S, Pu F, Shi F, Xie S, Wang Y, Jiang T. Regional white matter decreases in Alzheimer's disease using optimized voxel-based morphometry. Acta Radiol 2008;49:84-90. https://doi.org/10.1080/02841850701627181
  39. Bai F, Zhang Z, Watson DR, Yu H, Shi Y, Yuan Y, et al. Abnormal integrity of association fiber tracts in amnestic mild cognitive impairment. J Neurol Sci 2009;278:102-106. https://doi.org/10.1016/j.jns.2008.12.009
  40. Stricker NH, Schweinsburg BC, Delano-Wood L, Wierenga CE, Bangen KJ, Haaland KY, et al. Decreased white matter integrity in late myelinating fiber pathways in Alzheimer' s disease supports retrogenesis. Neuroimage 2009;45:10-16. https://doi.org/10.1016/j.neuroimage.2008.11.027
  41. Villain N, Fouquet M, Baron JC, Mézenge F, Landeau B, de La Sayette V, et al. Sequential relationships between grey matter and white matter atrophy and brain metabolic abnormalities in early Alzheimer' s disease. Brain 2010;133:3301-3314. https://doi.org/10.1093/brain/awq203
  42. Esiri MM, Nagy Z, Smith MZ, Barnetson L, Smith AD. Cerebrovascular disease and threshold for dementia in the early stages of Alzheimer' s disease. Lancet 1999;354:919-920. https://doi.org/10.1016/S0140-6736(99)02355-7
  43. Englund E. Neuropathology of white matter changes in Alzheimer's disease and vascular dementia. Dement Geriatr Cogn Disord 1998;9 Suppl 1:6-12.