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

• Published in: Scientific reports 2018-07, Vol.8 (1), p.10468-8, Article 10468
• Main Authors: Lee, Jin San, Cho, Seong-Kyung, Kim, Hee Jin, Kim, Yeo Jin, Park, Key-Chung, Lockhart, Samuel N., Na, Duk L., Kim, Changsoo, Seo, Sang Won
• Format: Article
• Language: English
• Subjects: 692/617/375; 692/617/375/365; Cognitive ability; Dementia; Dementia disorders; Humanities and Social Sciences; multidisciplinary; Prediction models; Science; Science (multidisciplinary)
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-018-28881-1

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