본문 바로가기
KERD
논문KCI 등재

주의력 설문지 척도(Attention Questionnaire Scale)를 이용한 알츠하이머병과 피질하혈관성치매 환자의 피질하 고신호병변에 따른 주의집중력의 차이

Attentional Differences according to the Subcortical White Matter Hyperintensities in Patients with Alzheimer Disease and Subcortical Vascular Dementia using Attention Questionnaire Scale

1

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류신경과학

초록

Background: Attention is too difficult to measure quantification due to the numerous affected variables. Attention Questionnaire Scale (AQS) is a newly developed scale for the evaluation of the patient’s attention. The aim of this study was to adapt AQS to evaluate the correlation between attention and subcortical hyperintensities (SH) to the patients with mild to moderate Alzheimer disease (AD) or subcortical vascular dementia (SVD). Methods: Patients with mild to moderate AD or SVD were recruited from March 2008 to February 2010. On magnetic resonance imaging, deep white matter (DWM) hyperintensities were classified into D1 (the longest diameter of DWM lesion <10 mm), D2 (10 mm≤DWM≤24 mm), and D3 (25 mm <DWM). Likewise, periventricular white matter (PWM) hyperintensities were classified into P1 (caps or rim <5 mm), P2 (between P1 and P2), and P3 (10 mm <caps or rim). The SH was divided into three groups according to the combinations of DWM and PWM hyperintensities: minimal (D1P1, D1P2, D2P1), severe (D3P3), and moderate hyperintensities group with hyperintensities of remaining combinations. AQS, Korean version of Mini-Mental Status Examination (K-MMSE), Clinical Dementia Rating (CDR) and Global Deterioration Scale (GDS) were performed in all the patients. Patients with mild to moderate AD or SVD were divided into three groups according to the SH (minimal, moderate and severe SH group). We evaluate AQS, K-MMSE, CDR and GDS according to the degree of SH. Results: A total of 162 study patients were recruited (87 in minimal, 22 in moderate and 53 in severe SH group). Female was predominant in all three groups (66.7%). Mean score of K-MMSE was 17.5±5.7 and that of the CDR was 1.3±0.9. Mean score of AQS was 17.1±7.9. The correlation between AQS and other scales such as K-MMSE, CDR and GDS were all significant (the correlation coefficiency was 0,317, -0.474, -0.472, respectively). Unlike other scales AQS showed significant differences between minimal and moderate or severe SH group (18.7±7.7, 15.2±6.6, 15.4±8.6, p=0.007). Conclusions: AQS is a useful dementia scale for the evaluation of the degree of SH in the patients with mild to moderate AD or SVD.

Abstract

Background: Attention is too difficult to measure quantification due to the numerous affected variables. Attention Questionnaire Scale (AQS) is a newly developed scale for the evaluation of the patient’s attention. The aim of this study was to adapt AQS to evaluate the correlation between attention and subcortical hyperintensities (SH) to the patients with mild to moderate Alzheimer disease (AD) or subcortical vascular dementia (SVD). Methods: Patients with mild to moderate AD or SVD were recruited from March 2008 to February 2010. On magnetic resonance imaging, deep white matter (DWM) hyperintensities were classified into D1 (the longest diameter of DWM lesion <10 mm), D2 (10 mm≤DWM≤24 mm), and D3 (25 mm <DWM). Likewise, periventricular white matter (PWM) hyperintensities were classified into P1 (caps or rim <5 mm), P2 (between P1 and P2), and P3 (10 mm <caps or rim). The SH was divided into three groups according to the combinations of DWM and PWM hyperintensities: minimal (D1P1, D1P2, D2P1), severe (D3P3), and moderate hyperintensities group with hyperintensities of remaining combinations. AQS, Korean version of Mini-Mental Status Examination (K-MMSE), Clinical Dementia Rating (CDR) and Global Deterioration Scale (GDS) were performed in all the patients. Patients with mild to moderate AD or SVD were divided into three groups according to the SH (minimal, moderate and severe SH group). We evaluate AQS, K-MMSE, CDR and GDS according to the degree of SH. Results: A total of 162 study patients were recruited (87 in minimal, 22 in moderate and 53 in severe SH group). Female was predominant in all three groups (66.7%). Mean score of K-MMSE was 17.5±5.7 and that of the CDR was 1.3±0.9. Mean score of AQS was 17.1±7.9. The correlation between AQS and other scales such as K-MMSE, CDR and GDS were all significant (the correlation coefficiency was 0,317, -0.474, -0.472, respectively). Unlike other scales AQS showed significant differences between minimal and moderate or severe SH group (18.7±7.7, 15.2±6.6, 15.4±8.6, p=0.007). Conclusions: AQS is a useful dementia scale for the evaluation of the degree of SH in the patients with mild to moderate AD or SVD.

참고문헌 (25)

  1. Perry RJ, "Attention and executive deficits in Alzheimer’s disease", A critical review. Brain, 122, pp.383~404 (1999)
  2. Parasuraman R, "Attention and brain function in Alzheimer’s disease: a review", Neuropsychology, 7, pp.242~272 (1993)
  3. Chan RC, "Dysexecutive symptoms among a non-clinical sample: a study with the use of the Dysexecutive Questionnaire", Br J Psychol, 92, pp.551~565 (2001)
  4. Dywan J, "Self- and family ratings of adaptive behavior after traumatic brain injury: psychometric scores and frontally generated ERPs", J Head Trauma Rehabil, 11, pp.79~95 (1996)
  5. Burgess PW, "The ecological validity of tests of executive function", J Int Neuropsychol Soc, 4, pp.547~558 (1998)
  6. Ray C, "Quality of attention in chronic fatigue syndrome: subjective reports of everyday attention and cognitive difficulty, and performance on tasks of focused attention", Br J Clin Psychol, 32, pp.357~364 (1963)
  7. Doddy RS, "Cognitive consequences of subcortical magnetic resonance imaging changes in Alzheimer’s disease: comparison to small vessel ischemic vascular dementia", Neuropsychiatry Neuropsychol Behav Neurol, 11, pp.191~199 (1998)
  8. Binetti G, "Excutive dysfunction on early Alzheimer’s disease", J Neurol Neurosurg Psychiatry, 60, pp.91~93 (1996)
  9. Kim SY, "Validation analysis of the attention questionnaire Scale", J Alzheimers Dis, 24, pp.393~402 (2011)
  10. McKhann G, "Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease", Neurology, 34, pp.939~944 (1984)
  11. Roman GC, "Vascular dementia: diagnostic criteria for research studies. Report of the NINDS-AIREN International Workshop", Neurology, 43, pp.250~260 (1993)
  12. Kalaria RN, "Overlap between pathology of Alzheimer disease and vascular dementia", Alzheimer Dis Assoc Disord, 13, pp.115~123 (1999)
  13. Garde E, "Relation between age-related decline in intelligence and cerebral white-matter hyperintensities in healthy octogenarians: a longitudinal study", Lancet, 356, pp.628~634 (2000)
  14. Paul RH, "Subcortical hyperintensities impact cognitive function among a select subset of healthy elderly", Arch Clin Neuropsychol, 20, pp.697~704 (2005)
  15. De Groot JC, "Periventricular cerebral white matter lesions predict rate of cognitive decline", Ann Neurol, 52, pp.335~341 (2002)
  16. Debette S, "Subcortical hyperintensities are associated with cognitive decline in patients with mild cognitive impairment", Stroke, 38, pp.2924~2930 (2007)
  17. Kang YW, "Validity study on the Korean mini-mental state examination (K-MMSE) in dementia patients", J Kor Neurol Assoc, 15, pp.300~308 (1997)
  18. Choi SH, "Estimating the validity of the Korean version of expanded clinical dementia rating (CDR) scale", J Kor Neurol Assoc, 19, pp.585~591 (2001)
  19. 김희진, "알츠하이머병 환자에서의 삶의 질 평가", 대한신경과학회지, 26(4), pp.308~313 (2008), 대한신경과학회
  20. Selden NR, "Trajectories of cholinergic pathways within the cerebral hemispheres of the human brain", Brain, 121, pp.2249~2257 (1998)
  21. Cummings JL, "Frontal-subcortical circuits and human behavior", J Psychosom Res, 44, pp.627~628 (1998)
  22. Tekin S, "Frontal-subcortical neuronal circuits and clinical neuropsychiatry: an update", J Psychosom Res, 53, pp.647~654 (2002)
  23. Snowdon DA, "Brain infarction and the clinical expression of Alzheimer disease", The Nun study. JAMA, 277, pp.813~817 (1997)
  24. Sasaki M, "Pitfalls in the interpretation of central nervous system disorders from structural magnetic resonance", images Brain Nerve, 62, pp.469~475 (2010)
  25. Bocti C, "A new visual rating scale to assess strategic white matter hyperintensities within cholinergic pathways in dementia", Stroke, 36, pp.2126~2131 (2005)

관련 논문AI추천

백질 고신호 병변이 경도인지장애 환자의 인지영역 기능 저하에 미치는 영향구본대, 박기정대한치매학회 · Dementia and Neurocognitive Disorders(대한치매학회지)2011 · 제10권 제1호The Different Associations of White Matter Hyperintensities With Severity of Dementia and Cognitive Impairment According to the Distance From the Lateral Ventricular Surface in Patients With Alzheimer’s DiseaseBong Soo Kim, Ho Kyu Lee, Hyun Ju Yang, Jae Min Song, Joon Hyuk Park, Ki Woong Kim, Subin Lee대한신경정신의학회 · PSYCHIATRY INVESTIGATION2024 · 제21권 제8호알츠하이머병 및 피질하허혈성혈관치매 환자들의 국소 뇌 부피 정량 비교김범생, 손영민, 심용수, 양동원대한치매학회 · Dementia and Neurocognitive Disorders(대한치매학회지)2009 · 제8권 제1호알츠하이머병과 경도인지손상 환자에서 백질 고강도와 인지기능장애와의 연관성나철, 기백석, 나형일, 민경준, 박두병, 안영균, 윤성구, 이영식, 최태영, 한덕현대한신경정신의학회 · 신경정신의학2009 · 제48권 제4호The Correlation of the White Matter Lesions and Lacunar Infarcts in Patients with Vascular Cognitive Impairment김희영, 이재홍, 정은혜, 주라형대한치매학회 · Dementia and Neurocognitive Disorders(대한치매학회지)2012 · 제11권 제2호Diffusion Tensor Imaging Changes Correlate with Clinical Progression in Vascular Mild Cognitive Impairment and Vascular Dementia of Subcortical Type권훈기, 박준성, 안종현, 유나영, 윤병남, 윤혜원, 이종민, 임명관, 최성혜, 최준용대한치매학회 · Dementia and Neurocognitive Disorders(대한치매학회지)2013 · 제12권 제3호

이 간행물의 다른 논문 (4건)