Prediction Models of Cognitive Trajectories in Patients with Nonamnestic Mild Cognitive Impairment

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作者
Jin San Lee
Seong-Kyung Cho
Hee Jin Kim
Yeo Jin Kim
Key-Chung Park
Samuel N. Lockhart
Duk L. Na
Changsoo Kim
Sang Won Seo
机构
[1] Sungkyunkwan University School of Medicine,Department of Neurology, Samsung Medical Center
[2] Neuroscience Center,Department of Neurology
[3] Samsung Medical Center,Department of Preventive Medicine
[4] Kyung Hee University Hospital,Department of Neurology
[5] Yonsei University Wonju College of Medicine,Department of Internal Medicine
[6] Chuncheon Sacred Heart Hospital,Department of Preventive Medicine
[7] Hallym University College of Medicine,Department of Health Sciences and Technology
[8] Wake Forest School of Medicine,Clinical Research Design and Evaluation, SAIHST
[9] Yonsei University College of Medicine,undefined
[10] SAIHST,undefined
[11] Sungkyunkwan University,undefined
[12] Sungkyunkwan University,undefined
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Scientific Reports | / 8卷
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摘要
To evaluate prediction models of cognitive trajectories in patients with nonamnestic mild cognitive impairment (naMCI) using group-based trajectory analysis, we evaluated 121 patients with naMCI who underwent at least their first three yearly assessments. Group-based trajectory models were used to classify cognitive trajectories based on Clinical Dementia Rating Sum of Boxes scores over four years in patients with naMCI. A total of 22 patients (18.2%) were classified into the “fast-decliners” group, while 99 patients (81.8%) were classified into the “slow-decliners” group. The mean age was higher in the fast-decliners than in the slow-decliners (p = 0.037). Compared to the slow-decliners, the fast-decliners were more frequently impaired in the domains of language (p = 0.038) and frontal/executive functions (p = 0.042), and had more frequent multiple-domain cognitive impairment (p = 0.006) on baseline neuropsychological tests. The rate of conversion to dementia was significantly higher in the fast-decliners than in the slow-decliners (86.4% vs. 10.1%, p < 0.001). Our findings showed that there are indeed distinct patterns of cognitive trajectories in patients with naMCI. Close observation of naMCI patients’ baseline demographic and clinical profiles in clinical settings may help identify individuals at greatest risk for dementia.
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