Literature DB >> 27328891

Prevalence and concordance between the clinical and the post-mortem diagnosis of dementia in a psychogeriatric clinic.

B Grandal Leiros1, L I Pérez Méndez2, M V Zelaya Huerta3, L Moreno Eguinoa4, F García-Bragado5, T Tuñón Álvarez5, J J Roldán Larreta4.   

Abstract

INTRODUCTION: The aim of our study is to describe the types of dementia found in a series of patients and to estimate the level of agreement between the clinical diagnosis and post-mortem diagnosis.
MATERIAL AND METHODS: We conducted a descriptive analysis of the prevalence of the types of dementia found in our series and we established the level of concordance between the clinical and the post-mortem diagnoses. The diagnosis was made based on current diagnostic criteria.
RESULTS: 114 cases were included. The most common clinical diagnoses both at a clinical and autopsy level were Alzheimer disease and mixed dementia but the prevalence was quite different. While at a clinical level, prevalence was 39% for Alzheimer disease and 18% for mixed dementia, in the autopsy level, prevalence was 22% and 34%, respectively. The agreement between the clinical and the autopsy diagnoses was 62% (95% CI 53-72%).
CONCLUSIONS: Almost a third of our patients were not correctly diagnosed in vivo. The most common mistake was the underdiagnosis of cerebrovascular pathology.
Copyright © 2016 Sociedad Española de Neurología. Publicado por Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Cerebrovascular disease; Comorbilidad cerebral; Dementia diagnosis accuracy; Dementia prevalence; Diagnóstico post-mortem; Enfermedad cerebrovascular; Enfermedad de Alzheimer; Fiabilidad diagnóstica en demencia; Mixed brain pathologies; Post-mortem diagnosis; Prevalencia de demencia

Mesh:

Year:  2016        PMID: 27328891     DOI: 10.1016/j.nrl.2016.04.011

Source DB:  PubMed          Journal:  Neurologia (Engl Ed)        ISSN: 2173-5808


  2 in total

1.  Impact of the cerebrospinal fluid-mask algorithm on the diagnostic performance of 123I-Ioflupane SPECT: an investigation of parkinsonian syndromes.

Authors:  Yu Iwabuchi; Tadaki Nakahara; Masashi Kameyama; Yohji Matsusaka; Yasuhiro Minami; Daisuke Ito; Hajime Tabuchi; Yoshitake Yamada; Masahiro Jinzaki
Journal:  EJNMMI Res       Date:  2019-09-03       Impact factor: 3.138

2.  Impact of a combination of quantitative indices representing uptake intensity, shape, and asymmetry in DAT SPECT using machine learning: comparison of different volume of interest settings.

Authors:  Yu Iwabuchi; Tadaki Nakahara; Masashi Kameyama; Yoshitake Yamada; Masahiro Hashimoto; Yohji Matsusaka; Takashi Osada; Daisuke Ito; Hajime Tabuchi; Masahiro Jinzaki
Journal:  EJNMMI Res       Date:  2019-01-28       Impact factor: 3.138

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.