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Updated: Nov 25, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
The clinical characteristics and subtypes of patients with cognitive impairment in memory clinic
Shuai Liu1, Jinghuan Gan2, Wenzheng Hu2
1Tianjin Medical University, Tianjin 300070, China; Department of Nutrition & Food Science, Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Department of Neurology, Tianjin Huanhu Hospital, Tianjin 300350, China.
Abstract:
To explore the demographic characteristics and main types of memory impairment in the Memory Clinic of China and to provide references for future research. Demographic, cognitive, and etiological data of 2,742 cognitive impairment (CI) patients who were in the Memory Clinic at Tianjin Huanhu Hospital from January 2011 to October 2018 were analyzed. The main subtypes of CI were AD (38.33%), MCI (19.55%), VaD (8.57%), FTLD (7.37%) and DLB/PDD (5.91%). The mean age was 68.5 ± 9.97, with 82.13% older than 60 years. There were slightly more females (50.58%) than males (49.42%). There were a relatively equal number of patients who were educated less than (55.12%) and more than nine years (44.88%). Most patients (82.91%) were married and only 23.63% patients had a family history of CI. CI occurred primarily in the elderly, namely those who were between 60 and 79 years old. More than half of those with AD, DLB, PDD, and FTLD were categorized at mild or moderate levels. The bvFTD (n = 127, 62.9%) was the primary subtype of FTLD. Standardized diagnostic procedures, detailed neuropsychological assessments, molecular biology tests, and follow-ups are important for the early diagnosis and treatment of cognitive impairment diseases.
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