Voxel‐based specific regional analysis system for Alzheimer’s disease utility as a screening tool for unrecognized cognitive dysfunction of elderly patients in diabetes outpatient clinics: Multicenter retrospective exploratory study
Rattachement africain : jp. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
AIMS/INTRODUCTION: An efficient screening strategy for identification of cognitive dysfunction remains a clinical issue in the management of elderly adults with diabetes. A magnetic resonance imaging voxel-based specific regional analysis system for Alzheimer's disease (VSRAD) has been developed as an automated brain morphometry system that includes the hippocampus. We carried out a multicenter retrospective study to evaluate the utility of VSRAD for screening cognitive dysfunction in diabetes outpatient clinics. MATERIALS AND METHODS: We enrolled patients with diabetes aged >65 years who underwent brain magnetic resonance imaging scans for the purpose of a medical checkup between November 2018 and May 2019. Patients who were already suspected or diagnosed with mild cognitive impairment and/or dementia as well as those with a history of cerebrovascular disease were excluded. RESULTS: A total of 67 patients were enrolled. Five patients were diagnosed with mild cognitive impairment or dementia (clinical cognitive dysfunction). Patients with clinical cognitive dysfunction showed a significantly higher z-score in VSRAD analysis (2.57 ± 0.47 vs 1.15 ± 0.55, P < 0.01). The sensitivities and specificities for diagnosis of clinical cognitive dysfunction were 80 and 48% for the Mini-Mental State Examination, 100 and 89% for the z-score, and 100 and 90% for the combination of the Mini-Mental State Examination score and z-score, respectively. CONCLUSIONS: VSRAD analysis can distinguish patients with clinical cognitive dysfunction in the elderly with diabetes, and also shows reasonable sensitivity and specificity compared with the Mini-Mental State Examination alone. Thus, VSRAD analysis can be useful for early identification of clinical cognitive dysfunction in the elderly with diabetes.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Voxel‐based specific regional analysis system for Alzheimer’s disease utility as a screening tool for unrecognized cognitive dysfunction of elderly patients in diabetes outpatient clinics: Multicenter retrospective exploratory study
- Date Crossref
- 17/07/2021
- Éditeur
- Wiley
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Kyoto University Hospital Department of Diabetes pays non établi dans la noticeÉtablissement de santé
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Koga Hospital pays non établi dans la noticeÉtablissement de santé
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Shiga Medical Center pays non établi dans la noticeÉtablissement de santé
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Hikone Central Hospital pays non établi dans la noticeÉtablissement de santé
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Hikone Municipal Hospital Department of Diabetes pays non établi dans la noticeÉtablissement de santé
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Koto Memorial Hospital Department of Internal Medicine pays non établi dans la noticeÉtablissement de santé
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Fukushimura Hospital pays non établi dans la noticeÉtablissement de santé
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Gifu University Department of Diabetes and Endocrinology pays non établi dans la noticeUniversité ou école supérieure
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The first two authors (YU and TM) contributed equally to this work pays non établi dans la noticeInstitution
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and Endocrinology Shiga General Hospital Shiga Japan Department of Diabetes pays non établi dans la noticeÉtablissement de santé
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Institute of Neuropathology pays non établi dans la noticeStructure de recherche
Department of Diabetes — Kyoto University Hospital, Koga Hospital et Shiga Medical Center, avec 8 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.