A Nomogram for Predicting Amyloid PET Positivity in Amnestic Mild Cognitive Impairment

被引:38
|
作者
Kim, Si Eun [1 ,3 ]
Woo, Sookyoung [2 ]
Kim, Seon Woo [2 ]
Chin, Juhee [1 ]
Kim, Hee Jin [1 ]
Lee, Byung In [3 ]
Park, Jinse [3 ]
Park, Kyung Won [4 ]
Kang, Do-Young [5 ]
Noh, Young [6 ]
Ye, Byoung Seok [7 ]
Yoo, Han Soo [7 ]
Lee, Jin San [8 ]
Kim, Yeshin [1 ,9 ]
Kim, Seung Joo [1 ]
Cho, Soo Hyun [1 ]
Na, Duk L. [1 ]
Lockhart, Samuel N. [10 ]
Jang, Hyemin [1 ]
Seo, Sang Won [1 ]
机构
[1] Sungkyunkwan Univ, Samsung Med Ctr, Dept Neurol, Sch Med, 81 Irwon Ro, Seoul, South Korea
[2] Samsung Med Ctr, Stat & Data Ctr, Seoul, South Korea
[3] Inje Univ, Coll Med, Dept Neurol, Haeundae Paik Hosp, Busan, South Korea
[4] Dong A Univ, Med Ctr, Coll Med, Dept Neurol, Busan, South Korea
[5] Dong A Univ, Med Ctr, Coll Med, Dept Nucl Med, Busan, South Korea
[6] Gachon Univ, Gil Med Ctr, Dept Neurol, Incheon, South Korea
[7] Yonsei Univ, Sch Med, Dept Neurol, Severance Hosp, Seoul, South Korea
[8] Kyung Hee Univ Hosp, Dept Neurol, Seoul, South Korea
[9] Kangwon Natl Univ, Coll Med, Dept Neurol, Chuncheon Si, Gangwon Do, South Korea
[10] Wake Forest Sch Med, Dept Internal Med, Div Gerontol & Geriatr Med, Winston Salem, NC USA
基金
新加坡国家研究基金会;
关键词
Amnestic mild cognitive impairment; amyloid PET positivity; neuropsychological tests; nomogram; prediction; ALZHEIMERS-DISEASE; BETA DEPOSITION; PROGRESSION; ATROPHY; F-18-FLORBETABEN; HIPPOCAMPAL; DEMENTIA; SCANS;
D O I
10.3233/JAD-180048
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background: Most clinical trials focus on amyloid-beta positive (A beta+) amnestic mild cognitive impairment (aMCI), but screening failures are high because only a half of patients with aMCI are positive on A beta PET. Therefore, it becomes necessary for clinicians to predict which patients will have A beta biomarker. Objective: We aimed to compare clinical factors, neuropsychological (NP) profiles, and apolipoprotein E (APOE) genotype between A beta+ aMCI and A beta- aMCI and to develop a clinically useful prediction model of A beta positivity on PET (PET-A beta) in aMCI using a nomogram. Methods: We recruited 523 aMCI patients who underwent A beta PET imaging in a nation-wide multicenter cohort. The results of NP measures were divided into following subgroups: 1) Stage (Early and Late-stage), 2) Modality (Visual, Verbal, and Both), 3) Recognition failure, and 4) Multiplicity (Single and Multiple). A nomogram for PET-A beta+ in aMCI patients was constructed using a logistic regression model. Results: PET-A beta+ had significant associations with NP profiles for several items, including high Clinical Dementia Rating Scale Sum of Boxes score (OR 1.47, p= 0.013) and impaired memory modality (impaired both visual and verbal memories compared with visual only, OR 3.25, p =0.001). Also, presence of APOE epsilon 4 (OR 4.14, p <0.001) was associated with PET-A beta+. These predictors were applied to develop the nomogram, which showed good prediction performance (C-statistics = 0.79). Its prediction performances were 0.77/0.74 in internal/external validation. Conclusions: The nomogram consisting of NP profiles, especially memory domain, and APOE epsilon 4 genotype may provide a useful predictive model of PET-A beta+ in patients with aMCI.
引用
收藏
页码:681 / 691
页数:11
相关论文
共 50 条
  • [21] The mean diffusivity of forceps minor is useful to distinguish amnestic mild cognitive impairment from mild cognitive impairment caused by cerebral small vessel disease
    Zhang, Yue
    Lin, Lu
    Feng, Mengmeng
    Dong, LingYan
    Qin, Yiren
    Su, Huan
    Zhou, Zheping
    Dai, Hui
    Wang, Yueju
    FRONTIERS IN HUMAN NEUROSCIENCE, 2022, 16
  • [22] Amyloid-β42 Plasma Levels are Elevated in Amnestic Mild Cognitive Impairment
    Cammarata, Sergio
    Borghi, Roberta
    Giliberto, Luca
    Pardini, Matteo
    Pollero, Valeria
    Novello, Cristina
    Fornaro, Michele
    Vitali, Antonella
    Bracco, Laura
    Caltagirone, Carlo
    Bossu, Paola
    Odetti, Patrizio
    Tabaton, Massimo
    JOURNAL OF ALZHEIMERS DISEASE, 2009, 18 (02) : 267 - 271
  • [23] Amyloid-independent functional neural correlates of episodic memory in amnestic mild cognitive impairment
    Seo, Eun Hyun
    Choo, I. L. Han
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2016, 43 (06) : 1088 - 1095
  • [24] Utilizing semantic intrusions to identify amyloid positivity in mild cognitive impairment
    Loewenstein, David A.
    Curiel, Rosie E.
    DeKosky, Steven
    Bauer, Russell M.
    Rosselli, Monica
    Guinjoan, Salvador M.
    Adjouadi, Malek
    Penate, Ailyn
    Barker, William W.
    Goenaga, Sindy
    Golde, Todd
    Greig-Custo, Maria T.
    Hanson, Kevin S.
    Li, Chunfei
    Lizarraga, Gabriel
    Marsiske, Michael
    Duara, Ranjan
    NEUROLOGY, 2018, 91 (10) : E976 - E984
  • [25] The Effect of Memantine on Cognitive Performance with Amnestic Mild Cognitive Impairment
    Ilhan Algin, Demet
    Dagli Atalay, Suna
    Ozkan, Serhat
    Ozbabalik Adapinar, Demet
    JOURNAL OF NEUROLOGICAL SCIENCES-TURKISH, 2017, 34 (03): : 231 - 241
  • [26] Amyloid-Independent Amnestic Mild Cognitive Impairment and Serum Apolipoprotein A1 Levels
    Choi, Hyo Jung
    Seo, Eun Hyun
    Yi, Dahyun
    Sohn, Bo Kyung
    Choe, Young Min
    Byun, Min Soo
    Lee, Jong Min
    Woo, Jong Inn
    Lee, Dong Young
    AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY, 2016, 24 (02) : 144 - 153
  • [27] Prediction of Amyloid-β Pathology in Amnestic Mild Cognitive Impairment with Neuropsychological Tests
    Bahar-Fuchs, Alex
    Villemagne, Victor
    Ong, Kevin
    Chetelat, Gael
    Lamb, Fiona
    Reininger, Cornelia B.
    Woodward, Michael
    Rowe, Christopher C.
    JOURNAL OF ALZHEIMERS DISEASE, 2013, 33 (02) : 451 - 462
  • [28] Associations Between Microstructure, Amyloid, and Cognition in Amnestic Mild Cognitive Impairment and Dementia
    Reas, Emilie T.
    Hagler, Donald J., Jr.
    Kuperman, Joshua M.
    Wierenga, Christina E.
    Galasko, Douglas
    White, Nathan S.
    Dale, Anders M.
    Banks, Sarah J.
    McEvoy, Linda K.
    Brewer, James B.
    JOURNAL OF ALZHEIMERS DISEASE, 2020, 73 (01) : 347 - 357
  • [29] Hippocampus Radiomic Biomarkers for the Diagnosis of Amnestic Mild Cognitive Impairment: A Machine Learning Method
    Feng, Qi
    Song, Qiaowei
    Wang, Mei
    Pang, PeiPei
    Liao, Zhengluan
    Jiang, Hongyang
    Shen, Dinggang
    Ding, Zhongxiang
    FRONTIERS IN AGING NEUROSCIENCE, 2019, 11
  • [30] Visual Selective Attention in Amnestic Mild Cognitive Impairment
    McLaughlin, Paula M.
    Anderson, Nicole D.
    Rich, Jill B.
    Chertkow, Howard
    Murtha, Susan J. E.
    JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES, 2014, 69 (06): : 881 - 891