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International Journal of Alzheimer’s Disease
Volume 2012 (2012), Article ID 124215, 8 pages
http://dx.doi.org/10.1155/2012/124215
Research Article

A Warning Index Used in Prescreening for Alzheimer’s Disease, Based on Self-Reported Cognitive Deficits and Vascular Risk Factors for Dementia in Elderly Patients with Type 2 Diabetes

1Department of General Medicine, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan
2Department of Metabolism, Kobe Mahoshi Hospital, Kobe 651-1242, Japan
3Department of Biotatistics, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan
4Department of Biological Regulation, School of Health Sciences, Faculty of Medicine, Tottori University, Yonago 683-8503, Japan
5Center of Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu 474-8511, Japan

Received 20 June 2012; Revised 9 September 2012; Accepted 10 September 2012

Academic Editor: Hiroyuki Umegaki

Copyright © 2012 Toshioki Matsuzawa et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background/Aims. Diabetes might increase the risk of Alzheimer’s disease (AD). For detecting dementia, it is typical to obtain informants’ perceptions of cognitive deficits, but such interviews are usually difficult in routine care. We aimed to develop a model for predicting mild to moderate AD using a self-reported questionnaire and by evaluating vascular risk factors for dementia in elderly subjects with diabetes. Methods. We recruited 286 diabetic and 155 nondiabetic elderly subjects. There were 25 patients with AD and 261 cognitively normal individuals versus 30 with AD and 125 normal subjects, respectively. Each participant answered subjective questions on memory deficits and daily functioning. Information on vascular risk factors was obtained from clinical charts, and multivariate logistic regression was used to develop a model for predicting AD. Results. The predicted probabilities used in screening for AD in diabetic subjects constituted age, education, lower diastolic blood pressure, subjective complaints of memory dysfunction noticeable by others, and impaired medication, shopping, and travel outside a familiar locality. Receiver operating characteristic analysis revealed a satisfactory discrimination for AD specific for diabetic elderly subjects, with 95.2% sensitivity and 90.6% specificity. Conclusion. This is the first useful index that can prescreen for AD in elderly subjects with diabetes.