Study on performance comparison between Brain Health System's clinic digital memory assessment and previously used assessments in dementia risk screening
Jiang Lanli, Lyu Chenlong, Chen Leian, Peng Dantao, Jia Jianjun, Zhang Wei, Li He, Li Jian, Li Xin, Zhang Zhanjun
Abstract
ObjectiveTo study on performance comparison between clinic digital memory assessment and previously used assessments in dementia risk screening.To compare the performance comparison between Beijing Aging Brain Rejuvenation Initiative(BABRI)Brain Health System's Clinic Digital Memory Detection as study and Alzheimer Disease-8(AD8)and the Brief Community Screening Instrument for Dementia(BCSID)as controls, We calculated and evaluated the accuracy, sensitivity and specificity of screening Mild cognitive impairment(MCI)among these tests.Furthermore, BABRI Brain Health System was used to conduct a large sample brain health examination and early dementia screening to test the validity, adaptability and stability of the evaluation results by BABRI Brain Health System'Clinic Digital Memory Detection.
MethodsDataset 1 contained 669 elderly subjects from five communities in Beijing were recruited according to inclusion and exclusion standard.The diagnosis of MCI was based on the full set of neuropsychological scale and Petersen standard.Dataset 1 was used to compare the discriminant effect of BABRI Brain Health System'Clinic Digital Memory Detection as study versus AD8 and BCSID as controls.The sensitivity, specificity, positive predictive value, negative predictive value and Youden index of each measurement tool were calculated.Then, the receiver operator characteristic(ROC)curve was prepared to compare the discrimination ability of MCI between each measurement tool.While the area under the curve(AUC)of different tools was compared by Wald χ2 test.Dataset 2 contained 284 103 subjects from 16 communities in Beijing, which were used to test the applicability of large sample screening in BABRI Brain Health System.
Results77 patients with MCI were found among 666 people, and incidence rate was 11.56% using the full set of neuropsychological scales in dataset 1.Compared with the results of other tests, the sensitivity of BABRI Brain Health System to correctly distinguish MCI was 0.753, which was close to BCSID, and better than AD8.In addition, BABRI Brain Health System's Youden's index was 0.741 and AUC was 0.905, which suggested that the specificity, positive predictive value, negative predictive value and cognitive domain coverage of MCI screening were generally better in BABRI Brain Health System than in AD8 and BCSID.Finally, the Brain Health Examination results of 284, 000 people in dataset 2 showed that the high-risk detection rate of MCI(8.65%)of the tool for people over 50 years old under a large sample was quite close to the results of dataset 1(8.67%), indicating that the BABRI Brain Health System had high stability.
ConclusionsBABRI Brain Health System has not only high sensitivity and specificity, but also wide cognitive field coverage and high stability.BABRI Brain Health System is suitable for large-scale brain health examination and dementia risk screening in grass-roots communities, and is worthy of popularization.
Key words:
BABRI Brain Health System; Alzheimer Disease-8; Brief Community Screening Instrument for Dementia; Dementia
Contributor Information
Jiang Lanli
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China
Lyu Chenlong
Institute of Microbial Epidemiology, Academy of Military Medicine, Academy of Military Sciences PLA, Beijing 100091, China
Chen Leian
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
Department of Neurology, China Japan Friendship Hospital, Beijing 100029, China
Peng Dantao
Department of Neurology, China Japan Friendship Hospital, Beijing 100029, China
Jia Jianjun
Institute of Geriatrics, Chinese PLA General Hospital, Beijing 100039, China
Zhang Wei
Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China
Li He
Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China
Institute of Basic Research in Clinical Medicine, China Academy of Traditional Chinese Medicine, Beijing 100007, China
Li Jian
College of Traditional Chinese Medicine, Beijing University of Traditional Chinese Medicine, Beijing 100029, China
Li Xin
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China
Zhang Zhanjun
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing 100875, China
