A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementia

Autores
Vigliecca, Nora Silvana; Aleman, Gretel Patricia
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Introduction: In the present study we have elaborated a multivariate–multifactor diagnostic method for diagnosis of ischemic and nonischemic dementia, and validated it using different human populations. Our purpose was to improve dementia diagnosis by means of comprehensive neuropsychological assessment and the control of intervening variables. Methods: Data were obtained from 114 healthy volunteers to 101 patients consecutively referred for suspected dementia. On the basis of neuromorphological criteria, the patient sample was subdivided into those with ischemic lesions (IL: N = 12) and without ischemic lesions (non-IL: N = 89). The patient groups and the healthy subjects (HS) were matched according to age, education, sex ratio and handedness. A comprehensive neuropsychological battery was administered to all the participants. Results: The two patient groups differed in their Hachinski ischemic score, but not in terms of demographic variables, the Blessed rating scale, Mini Mental State, Geriatric Depression Scale, or other measures. Discriminant analysis selected fifteen neuropsychological variables from the comprehensive battery, and these were found to provide accuracy of classification in 98% of HS and 87% of the patients considered as a whole. Considering the three groups, those variables provided accuracy of classification in 98% of HS, 82% of IL patients and 82% of non-IL patients. Subtests were internally consistent (Cronbach's alpha: 0.87) and a positive association between ischemic lesions and cognitive impairment was observed when the 15 dependent variables were added. Discussion: It is possible to select a combination of cognitive tests that discriminated HS from dementia patients and, within this category, patients with and without ischemic lesions. Analysis of the 15 variables provides an improved method for diagnosis of ischemic vs. nonischemic lesion dementia in humans.
Fil: Vigliecca, Nora Silvana. Universidad Nacional de Cordoba. Facultad de Filosofia y Humanidades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Cordoba. Facultad de Medicina. Hospital Cordoba; Argentina
Fil: Aleman, Gretel Patricia. Universidad Nacional de Cordoba. Facultad de Filosofia y Humanidades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Cordoba. Facultad de Medicina. Hospital Cordoba; Argentina
Materia
Alzheimer
Vascular
Methodology
Validity
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/14799
Acceder
id CONICETDig_563f159db1ac27f5d11ac9237147f714
oai_identifier_str oai:ri.conicet.gov.ar:11336/14799
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementiaVigliecca, Nora SilvanaAleman, Gretel PatriciaAlzheimerVascularMethodologyValidityhttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5Introduction: In the present study we have elaborated a multivariate–multifactor diagnostic method for diagnosis of ischemic and nonischemic dementia, and validated it using different human populations. Our purpose was to improve dementia diagnosis by means of comprehensive neuropsychological assessment and the control of intervening variables. Methods: Data were obtained from 114 healthy volunteers to 101 patients consecutively referred for suspected dementia. On the basis of neuromorphological criteria, the patient sample was subdivided into those with ischemic lesions (IL: N = 12) and without ischemic lesions (non-IL: N = 89). The patient groups and the healthy subjects (HS) were matched according to age, education, sex ratio and handedness. A comprehensive neuropsychological battery was administered to all the participants. Results: The two patient groups differed in their Hachinski ischemic score, but not in terms of demographic variables, the Blessed rating scale, Mini Mental State, Geriatric Depression Scale, or other measures. Discriminant analysis selected fifteen neuropsychological variables from the comprehensive battery, and these were found to provide accuracy of classification in 98% of HS and 87% of the patients considered as a whole. Considering the three groups, those variables provided accuracy of classification in 98% of HS, 82% of IL patients and 82% of non-IL patients. Subtests were internally consistent (Cronbach's alpha: 0.87) and a positive association between ischemic lesions and cognitive impairment was observed when the 15 dependent variables were added. Discussion: It is possible to select a combination of cognitive tests that discriminated HS from dementia patients and, within this category, patients with and without ischemic lesions. Analysis of the 15 variables provides an improved method for diagnosis of ischemic vs. nonischemic lesion dementia in humans.Fil: Vigliecca, Nora Silvana. Universidad Nacional de Cordoba. Facultad de Filosofia y Humanidades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Cordoba. Facultad de Medicina. Hospital Cordoba; ArgentinaFil: Aleman, Gretel Patricia. Universidad Nacional de Cordoba. Facultad de Filosofia y Humanidades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Cordoba. Facultad de Medicina. Hospital Cordoba; ArgentinaElsevier2010-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/14799Vigliecca, Nora Silvana; Aleman, Gretel Patricia; A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementia; Elsevier; Journal Of Pharmacological And Toxicological Methods.; 61; 1; 1-2010; 38-431056-8719enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.vascn.2009.10.003info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S105687190900313Xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:23:29Zoai:ri.conicet.gov.ar:11336/14799instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:23:29.281CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementia
title A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementia
spellingShingle A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementia
Vigliecca, Nora Silvana
Alzheimer
Vascular
Methodology
Validity
title_short A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementia
title_full A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementia
title_fullStr A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementia
title_full_unstemmed A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementia
title_sort A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementia
dc.creator.none.fl_str_mv Vigliecca, Nora Silvana
Aleman, Gretel Patricia
author Vigliecca, Nora Silvana
author_facet Vigliecca, Nora Silvana
Aleman, Gretel Patricia
author_role author
author2 Aleman, Gretel Patricia
author2_role author
dc.subject.none.fl_str_mv Alzheimer
Vascular
Methodology
Validity
topic Alzheimer
Vascular
Methodology
Validity
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Introduction: In the present study we have elaborated a multivariate–multifactor diagnostic method for diagnosis of ischemic and nonischemic dementia, and validated it using different human populations. Our purpose was to improve dementia diagnosis by means of comprehensive neuropsychological assessment and the control of intervening variables. Methods: Data were obtained from 114 healthy volunteers to 101 patients consecutively referred for suspected dementia. On the basis of neuromorphological criteria, the patient sample was subdivided into those with ischemic lesions (IL: N = 12) and without ischemic lesions (non-IL: N = 89). The patient groups and the healthy subjects (HS) were matched according to age, education, sex ratio and handedness. A comprehensive neuropsychological battery was administered to all the participants. Results: The two patient groups differed in their Hachinski ischemic score, but not in terms of demographic variables, the Blessed rating scale, Mini Mental State, Geriatric Depression Scale, or other measures. Discriminant analysis selected fifteen neuropsychological variables from the comprehensive battery, and these were found to provide accuracy of classification in 98% of HS and 87% of the patients considered as a whole. Considering the three groups, those variables provided accuracy of classification in 98% of HS, 82% of IL patients and 82% of non-IL patients. Subtests were internally consistent (Cronbach's alpha: 0.87) and a positive association between ischemic lesions and cognitive impairment was observed when the 15 dependent variables were added. Discussion: It is possible to select a combination of cognitive tests that discriminated HS from dementia patients and, within this category, patients with and without ischemic lesions. Analysis of the 15 variables provides an improved method for diagnosis of ischemic vs. nonischemic lesion dementia in humans.
Fil: Vigliecca, Nora Silvana. Universidad Nacional de Cordoba. Facultad de Filosofia y Humanidades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Cordoba. Facultad de Medicina. Hospital Cordoba; Argentina
Fil: Aleman, Gretel Patricia. Universidad Nacional de Cordoba. Facultad de Filosofia y Humanidades; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Cordoba. Facultad de Medicina. Hospital Cordoba; Argentina
description Introduction: In the present study we have elaborated a multivariate–multifactor diagnostic method for diagnosis of ischemic and nonischemic dementia, and validated it using different human populations. Our purpose was to improve dementia diagnosis by means of comprehensive neuropsychological assessment and the control of intervening variables. Methods: Data were obtained from 114 healthy volunteers to 101 patients consecutively referred for suspected dementia. On the basis of neuromorphological criteria, the patient sample was subdivided into those with ischemic lesions (IL: N = 12) and without ischemic lesions (non-IL: N = 89). The patient groups and the healthy subjects (HS) were matched according to age, education, sex ratio and handedness. A comprehensive neuropsychological battery was administered to all the participants. Results: The two patient groups differed in their Hachinski ischemic score, but not in terms of demographic variables, the Blessed rating scale, Mini Mental State, Geriatric Depression Scale, or other measures. Discriminant analysis selected fifteen neuropsychological variables from the comprehensive battery, and these were found to provide accuracy of classification in 98% of HS and 87% of the patients considered as a whole. Considering the three groups, those variables provided accuracy of classification in 98% of HS, 82% of IL patients and 82% of non-IL patients. Subtests were internally consistent (Cronbach's alpha: 0.87) and a positive association between ischemic lesions and cognitive impairment was observed when the 15 dependent variables were added. Discussion: It is possible to select a combination of cognitive tests that discriminated HS from dementia patients and, within this category, patients with and without ischemic lesions. Analysis of the 15 variables provides an improved method for diagnosis of ischemic vs. nonischemic lesion dementia in humans.
publishDate 2010
dc.date.none.fl_str_mv 2010-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/14799
Vigliecca, Nora Silvana; Aleman, Gretel Patricia; A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementia; Elsevier; Journal Of Pharmacological And Toxicological Methods.; 61; 1; 1-2010; 38-43
1056-8719
url http://hdl.handle.net/11336/14799
identifier_str_mv Vigliecca, Nora Silvana; Aleman, Gretel Patricia; A novel neuropsychological assessment to discriminate between ischemic and nonischemic dementia; Elsevier; Journal Of Pharmacological And Toxicological Methods.; 61; 1; 1-2010; 38-43
1056-8719
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.vascn.2009.10.003
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S105687190900313X
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846082645216198656
score 13.22299

Publicaciones similares