본문 바로가기
KERD
논문KCI 등재

Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer’s Disease: Methodology and Baseline Sample Characteristics

2

조회

0

다운로드

10

인용

0

참고문헌

키워드

주제분류정신과학

초록

Objective: The Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer’s disease (KBASE) aimed to recruit 650 individuals, aged from 20 to 90 years, to search for new biomarkers of Alzheimer’s disease (AD) and to investigate how multi-faceted lifetime experiences and bodily changes contribute to the brain changes or brain pathologies related to the AD process. Methods: All participants received comprehensive clinical and neuropsychological evaluations, multi-modal brain imaging, including magnetic resonance imaging, magnetic resonance angiography, [11C]Pittsburgh compound B-positron emission tomography (PET), and [18F]fluorodeoxyglucose-PET, blood and genetic marker analyses at baseline, and a subset of participants underwent actigraph monitoring and completed a sleep diary. Participants are to be followed annually with clinical and neuropsychological assessments, and biannually with the full KBASE assessment, including neuroimaging and laboratory tests. Results: As of March 2017, in total, 758 individuals had volunteered for this study. Among them, in total, 591 participants–291 cognitively normal (CN) old-aged individuals, 74 CN young- and middle-aged individuals, 139 individuals with mild cognitive impairment (MCI), and 87 individuals with AD dementia (ADD)–were enrolled at baseline, after excluding 162 individuals. A subset of participants (n=275) underwent actigraph monitoring. Conclusion: The KBASE cohort is a prospective, longitudinal cohort study that recruited participants with a wide age range and a wide distribution of cognitive status (CN, MCI, and ADD) and it has several strengths in its design and methodologies. Details of the recruitment, study methodology, and baseline sample characteristics are described in this paper.

Abstract

Objective: The Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer’s disease (KBASE) aimed to recruit 650 individuals, aged from 20 to 90 years, to search for new biomarkers of Alzheimer’s disease (AD) and to investigate how multi-faceted lifetime experiences and bodily changes contribute to the brain changes or brain pathologies related to the AD process. Methods: All participants received comprehensive clinical and neuropsychological evaluations, multi-modal brain imaging, including magnetic resonance imaging, magnetic resonance angiography, [11C]Pittsburgh compound B-positron emission tomography (PET), and [18F]fluorodeoxyglucose-PET, blood and genetic marker analyses at baseline, and a subset of participants underwent actigraph monitoring and completed a sleep diary. Participants are to be followed annually with clinical and neuropsychological assessments, and biannually with the full KBASE assessment, including neuroimaging and laboratory tests. Results: As of March 2017, in total, 758 individuals had volunteered for this study. Among them, in total, 591 participants–291 cognitively normal (CN) old-aged individuals, 74 CN young- and middle-aged individuals, 139 individuals with mild cognitive impairment (MCI), and 87 individuals with AD dementia (ADD)–were enrolled at baseline, after excluding 162 individuals. A subset of participants (n=275) underwent actigraph monitoring. Conclusion: The KBASE cohort is a prospective, longitudinal cohort study that recruited participants with a wide age range and a wide distribution of cognitive status (CN, MCI, and ADD) and it has several strengths in its design and methodologies. Details of the recruitment, study methodology, and baseline sample characteristics are described in this paper.

참고문헌 (66)

  1. World Alzheimer Report 2014: Dementia and Risk Reduction-An Analysis of Protective and Modifiable Factors, "Prince M", Alzheimer’s Disease International (ADI), ~ (2014)
  2. Winblad B, "Defeating Alzheimer’s disease and other dementias : a priority for European science and society", Lancet Neurol, 15, pp.455~532 (2016)
  3. Qiu C, "Epidemiology of Alzheimer’s disease: occurrence, determinants, and strategies toward intervention", Dialogues Clin Neurosci, 11, pp.111~128 (2009)
  4. Brookmeyer R, "Forecasting the global burden of Alzheimer’s disease", Alzheimers Dement, 3, pp.186~191 (2007)
  5. Brookmeyer R, "Projections of Alzheimer’s disease in the United States and the public health impact of delaying disease onset", Am J Public Health, 88, pp.1337~1342 (1998)
  6. Zissimopoulos J, "The value of delaying Alzheimer’s disease onset", Forum Health Econ Policy, 18, pp.25~39 (2014)
  7. Doody RS, "Phase 3 trials of solanezumab for mild-to-moderate Alzheimer’s disease", N Engl J Med, 370, pp.311~321 (2014)
  8. Hardy J, "Alzheimer’s disease: where next for anti-amyloid therapies?", Brain, 140, pp.853~855 (2017)
  9. Graham WV, "Update on Alzheimer’s disease therapy and prevention strategies", Annu Rev Med, 68, pp.413~430 (2017)
  10. Sperling RA, "Testing the right target and right drug at the right stage", Sci Transl Med, 3, pp.111~133 (2011)
  11. Epelbaum S, "Preclinical Alzheimer’s disease : a systematic review of the cohorts underlying the concept", Alzheimers Dement, 13, pp.454~467 (2017)
  12. Karlawish J, "Alzheimer’s disease : the next frontier-Special Report 2017", Alzheimers Dement, 13, pp.374~380 (2017)
  13. Humpel C, "Identifying and validating biomarkers for Alzheimer’s disease", Trends Biotechnol, 29, pp.26~32 (2011)
  14. Jack CR Jr, "Introduction to the recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease", Alzheimers Dement, 7, pp.257~262 (2011)
  15. McKhann GM, "The diagnosis of dementia due to Alzheimer’s disease : recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease", Alzheimers Dement, 7, pp.263~269 (2011)
  16. Dubois B, "Advancing research diagnostic criteria for Alzheimer’s disease : the IWG-2 criteria", Lancet Neurol, 13, pp.614~629 (2014)
  17. Henriksen K, "The future of blood-based biomarkers for Alzheimer’s disease", Alzheimers Dement, 10, pp.115~131 (2014)
  18. Fourier A, "Pre-analytical and analytical factors influencing Alzheimer’s disease cerebrospinal fluid biomarker variability", Clin Chim Acta, 449, pp.9~15 (2015)
  19. Johnson KA, "Brain imaging in Alzheimer disease", Cold Spring Harb Perspect Med, 2, pp.a006213~ (2012)
  20. Blennow K, "Biomarkers in Alzheimer’s disease drug development", Nat Med, 16, pp.1218~1222 (2010)
  21. McEvoy LK, "Quantitative structural MRI for early detection of Alzheimer’s disease", Expert Rev Neurother, 10, pp.1675~1688 (2010)
  22. Thambisetty M, "Blood-based biomarkers of Alzheimer’s disease : challenging but feasible", Biomark Med, 4, pp.65~79 (2010)
  23. O’Bryant SE, "Blood-based biomarkers in Alzheimer disease : current state of the science and a novel collaborative paradigm for advancing from discovery to clinic", Alzheimers Dement, 13, pp.45~58 (2017)
  24. Karch CM, "Alzheimer’s disease genetics : from the bench to the clinic", Neuron, 83, pp.11~26 (2014)
  25. Bertram L, "Systems Biology of Alzheimer’s Disease", pp.281~297 (2016), Springer New York
  26. Wang HX, "Association of lifelong exposure to cognitive reserve-enhancing factors with dementia risk: a community-based cohort study", PLoS Med, 14, pp.e1002251~ (2017)
  27. Stern Y, "Cognitive reserve in ageing and Alzheimer’s disease", Lancet Neurol, 11, pp.1006~1012 (2012)
  28. Albert MS, "The diagnosis of mild cognitive impairment due to Alzheimer’s disease : recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease", Alzheimers Dement, 7, pp.270~279 (2011)
  29. Lee DY, "A normative study of the CERAD neuropsychological assessment battery in the Korean elderly", J Int Neuropsychol Soc, 10, pp.72~81 (2004)
  30. American Psychiatric Association, "Diagnostic and Statistical Manual of Mental Disorderss: DSM-IV-TR", American Psychiatric Association, ~ (2000)
  31. Morris JC, "The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD). Part I. Clinical and neuropsychological assessment of Alzheimer’s disease", Neurology, 39, pp.1159~1165 (1989)
  32. Lee JH, "Development of the Korean version of the Consortium to Establish a Registry for Alzheimer’s Disease Assessment Packet (CERAD-K): clinical and neuropsychological assessment batteries", J Gerontol B Psychol Sci Soc Sci, 57, pp.P47~P53 (2002)
  33. Morris JC, "The Clinical Dementia Rating(CDR) : current version and scoring rules", Neurology, 43, pp.2412~2414 (1993)
  34. Blessed G, "The association between quantitative measures of dementia and of senile change in the cerebral grey matter of elderly subjects", Br J Psychiatry, 114, pp.797~811 (1968)
  35. First MB, "Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version" (2002), Biometrics Research, New York State Psychiatric Institute
  36. Mulsant BH, "The use of the Hamilton Rating Scale for Depression in elderly patients with cognitive impairment and physical illness", Am J Geriatr Psychiatry, 2, pp.220~229 (1994)
  37. Yesavage JA, "Development and validation of a geriatric depression screening scale : a preliminary report", J Psychiatr Res, 17, pp.37~49 (1982)
  38. Bae JN, "Development of the Korean version of the Geriatric Depression Scale and its short form among elderly psychiatric patients", J Psychosom Res, 57, pp.297~305 (2004)
  39. Cho MJ, "Diagnostic validity of the CES-D(Korean Version)in the Assessment of DSM-III-R Major Depression", J Korean Neuropsychiatr Assoc, 32, pp.381~399 (1993)
  40. Spielberger CD, "Manual for the State-Trait Anxiety Inventory (STAI)", Consulting Psychologists Press, ~ (1983)
  41. Youn JC, "Development of the Subjective Memory Complaints Questionnaire", Dement Geriatr Cogn Disord, 27, pp.310~317 (2009)
  42. 이동영, "치매 선별용 정보 제공자 보고형 설문지 Seoul Informant Report Questionnaire for Dementia (SIRQD)의 개발", 신경정신의학, 43(2), pp.209~218 (2004), 대한신경정신의학회
  43. DeCarli C, "Memory impairment, but not cerebrovascular disease, predicts progression of MCI to dementia", Neurology, 63, pp.220~227 (2004)
  44. Laurin D, "Ankle-to-brachial index and dementia : the Honolulu-Asia Aging Study", Circulation, 116, pp.2269~2274 (2007)
  45. Seo EH, "A normative study of the trail making test in Korean elders", Int J Geriatr Psychiatry, 21, pp.844~852 (2006)
  46. Seo EH, "Normative study of the Stroop Color and Word Test in an educationally diverse elderly population", Int J Geriatr Psychiatry, 23, pp.1020~1027 (2008)
  47. Benton AL, "Multilingual Aphasia Examination: Manual of Instructions" (1994), AJA Assoc
  48. Wechsler D, "WMS-R: Wechsler Memory Scale-Revised: Manual", Psychological Corp., Harcourt Brace Jovanovich, ~ (1987)
  49. 최효정, "A Normative Study of the Digit Span in an Educationally Diverse Elderly Population", PSYCHIATRY INVESTIGATION, 11(1), pp.39~43 (2014), 대한신경정신의학회
  50. Chey J, "Korean Wechsler Memory Scale-IV", Korea Psychology, ~ (2012)
  51. Meyers JE, "Rey Complex Figure Test and Recognition Trial Professional Manual", Psychological Assessment Resources, ~ (1995)
  52. Hwang S, "Korean Wechsler Adult Intelligence Scale-IV", Korea Psychology, ~ (2012)
  53. Han JY, "Development of the Korean Adult Reading Test (KART) to estimate premorbid intelligence in dementia", Alzheimer Dement, 11, pp.P816~ (2015)
  54. Wenham PR, "Apolipoprotein E genotyping by one-stage PCR", Lancet, 337, pp.1158~1159 (1991)
  55. Buysse DJ, "The Pittsburgh Sleep Quality Index : a new instrument for psychiatric practice and research", Psychiatry Res, 28, pp.193~213 (1989)
  56. Stiasny-Kolster K, "The REM sleep behavior disorder screening questionnaire--a new diagnostic instrument", Mov Disord, 22, pp.2386~2393 (2007)
  57. Chung F, "STOP QuestionnaireA Tool to screen patients for obstructive sleep apnea", J Am Soc Anesthesiol, 108, pp.812~821 (2008)
  58. 도주영, "한국성인인구집단의 하지불안증후군 유병률: International Restless Legs Syndrome Study Group Criteria 진단기준과 Cambridge-Hopkins 진단설문 비교", Journal of sleep medicine, 10(1), pp.7~14 (2013), 대한수면연구학회
  59. Lee JH, "Reliability and validity of the Korean version of Morningness-Eveningness Questionnaire in adults aged 20-39 years", Chronobiol Int, 31, pp.479~486 (2014)
  60. Petersen RC, "Alzheimer’s Disease Neuroimaging Initiative (ADNI): clinical characterization", Neurology, 74, pp.201~209 (2010)
  61. Ellis KA, "The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer’s disease", Int Psychogeriatr, 21, pp.672~687 (2009)
  62. Ossenkoppele R, "Prevalence of amyloid PET positivity in dementia syndromes : a meta-analysis", JAMA, 313, pp.1939~1949 (2015)
  63. Rowe CC, "Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging", Neurobiol Aging, 31, pp.1275~1283 (2010)
  64. Kye B, "Cohort Effects or Period Effects? Fertility Decline in South Korea in the Twentieth Century", Popul Res Policy Rev, 31, pp.387~415 (2012)
  65. Khang YH, "Health inequalities in Korea : age-and sex-specific educational differences in the 10 leading causes of death", Int J Epidemiol, 33, pp.299~308 (2004)
  66. Johnson SC, "Amyloid burden and neural function in people at risk for Alzheimer’s disease", Neurobiol Aging, 35, pp.576~584 (2014)

관련 논문AI추천

Baseline Clinical and Biomarker Characteristics of Biobank Innovations for Chronic Cerebrovascular Disease With Alzheimer’s Disease Study: BICWALZS강희영, 노현웅, 박범희, 서상원, 안영실, 이동기, 정재연, 조수현, 최성혜, 최진욱, 홍창형, Chang Jaerak, Kim Byeong C., Kim Eun-Joo, Kim Eun Young, Kim Na-Rae, Kim Seong Yoon, Lee Sang Yoon, Shin Hyunjung, Son Sang Joon, Yoon Dukyong대한신경정신의학회 · PSYCHIATRY INVESTIGATION2022 · 제19권 제2호Overview of the Korean Longitudinal Study on Cognitive Aging and Dementia김정란, 김태희, 박재영, Bong-Jo Kim, Dong-Woo Lee, Dong Young Lee, Hyeon Jeong, Hyun-Ghang Jeong, Jin Hyeong Jhoo, Ji Won Han, Ji-Young Seo, Jong Chul Youn, Jong Woo Hong, Joon Hyuk Park, Jung Jae Lee, Ju Ri Lee, Kayoung Kim, Ki Woong Kim, Kyoung Hwan Lee, Kyuhee Han, Kyung Phil Kwak, Seok Bum Lee, Seok Woo Moon, Seonjeong Byun, Seung-Ho Ryu, Seung Wan Suh, Shingyeom Kim, Taehyun Kim, Yoonseop So대한신경정신의학회 · PSYCHIATRY INVESTIGATION2018 · 제15권 제8호Comprehensive Clinical and Behavioral Characteristics of Mild Cognitive Impairment According to Amyloid Positivity: A Large Multi-Center Korean CohortJang Hyemin, Kim Seung Ae, Kim Yeshin, Na Duk L., Seo Sang Won대한치매학회 · Dementia and Neurocognitive Disorders(대한치매학회지)2025 · 제24권 제2호ADNI 연구에서 알츠하이머병 및 경도인지장애의 뇌영상 표지자이준영대한노인정신의학회 · 노인정신의학2012 · 제16권 제1호Korea-Registries to Overcome Dementia and Accelerate Dementia Research (K-ROAD): A Cohort for Dementia Research and Ethnic-Specific InsightsDaeun Shin, Duk. L. Na, Hee Jin Kim, Hyemin Jang, Jun Pyo Kim, Juyoun Lee, Ko Woon Kim, Sang Won Seo, Si Eun Kim, Soo Hyun Cho, Yeshin Kim대한치매학회 · Dementia and Neurocognitive Disorders(대한치매학회지)2024 · 제23권 제4호Comparison of Amyloid Positivity Rate and Accumulation Pattern between Amnestic and Non-Amnestic Type Mild Cognitive Impairment이준호, Byun Min Soo, Jung Gijung, Lee Dong Young, Lee Sun Hyung, Park Jee Eun, Yi Dahyun대한신경정신의학회 · PSYCHIATRY INVESTIGATION2020 · 제17권 제6호

이 간행물의 다른 논문 (29건)