Cognitive scores as a potential diagnostic tool in schizophrenia: the use of raw and discrepancy scores

Objective Cognitive scores could be a useful tool when discriminating between patients with schizophrenia (SZ) and non-psychiatric population. However, whether these scores can contribute to the accurate diagnosis of the disease is still unclear. Therefore, this study aimed to identify the best appr...

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Autores: Gómez Gastiasoro, Ainara, Peña Lasa, Javier, Zubiaurre Elorza, Leire, Del Pino Sáez, Rocío, Ibarretxe Bilbao, Naroa, Ojeda, Natalia
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:dnet:addi________::3379e464df74e181eeb8cf824699a89c
Acceso en línea:http://hdl.handle.net/10810/78817
Access Level:acceso abierto
Palabra clave:assessment
cognition
discrepancy scores
processing speed
schizophrenia
verbal memory
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spelling Cognitive scores as a potential diagnostic tool in schizophrenia: the use of raw and discrepancy scoresGómez Gastiasoro, AinaraPeña Lasa, JavierZubiaurre Elorza, LeireDel Pino Sáez, RocíoIbarretxe Bilbao, NaroaOjeda, Nataliaassessmentcognitiondiscrepancy scoresprocessing speedschizophreniaverbal memoryObjective Cognitive scores could be a useful tool when discriminating between patients with schizophrenia (SZ) and non-psychiatric population. However, whether these scores can contribute to the accurate diagnosis of the disease is still unclear. Therefore, this study aimed to identify the best approach as to the inclusion of cognitive impairment as a potential clinical tool in the diagnosis of SZ. Method A total of 258 patients with SZ and 202 healthy controls (HC) were assessed by means of the Hopkins Verbal Learning Test-Revised (HVLT-R) and the Trail Making Test-A (TMT-A). In addition to raw scores, participants' discrepancy scores (DS) in these two cognitive measures were calculated using regression-based norms controlling for age, years of education and premorbid intelligence quotient. Receiver-operating characteristic analyses were performed for both scores in order to assess their diagnostic properties. Results The areas under the curve (AUC) of the HVLT-R total and delayed recall, and TMT-A raw scores were statistically significant and ranged from 0.67 to 0.87. Although significant, AUC of verbal memory DS were lower than those of raw scores (AUC = 0.84; AUC = 0.80). AUC of TMT-A DS was not significant. Conclusions Results suggest that cognitive scores are useful and accurate when discriminating and classifying patients with SZ and HC in the present sample. Raw scores were shown to be more accurate than DS in patients with SZ and to present good diagnostic properties especially regarding verbal memory measures. Obtained indices support the use of cognitive scores as diagnostic criterion in the diagnosis of SZ.Basic and Applied Investigation Project of the Basque Government. Grant Number: PI_2014_1_43 Department of education, linguistic politics and culture of the Basque Government. Grant Number: PRE_2015_1_0444 Department of Health of the Basque Government. Grant Number: 2011111102Wiley202620262020info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/78817reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoIngléshttps://aps.onlinelibrary.wiley.com/doi/10.1111/cp.12191info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/© 2019 The Authors Clinical Psychologist published by John Wiley & Sons Australia, Ltd on behalf of Australian Psychology Society. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs Licenseoai:dnet:addi________::3379e464df74e181eeb8cf824699a89c2026-06-18T09:23:17Z
dc.title.none.fl_str_mv Cognitive scores as a potential diagnostic tool in schizophrenia: the use of raw and discrepancy scores
title Cognitive scores as a potential diagnostic tool in schizophrenia: the use of raw and discrepancy scores
spellingShingle Cognitive scores as a potential diagnostic tool in schizophrenia: the use of raw and discrepancy scores
Gómez Gastiasoro, Ainara
assessment
cognition
discrepancy scores
processing speed
schizophrenia
verbal memory
title_short Cognitive scores as a potential diagnostic tool in schizophrenia: the use of raw and discrepancy scores
title_full Cognitive scores as a potential diagnostic tool in schizophrenia: the use of raw and discrepancy scores
title_fullStr Cognitive scores as a potential diagnostic tool in schizophrenia: the use of raw and discrepancy scores
title_full_unstemmed Cognitive scores as a potential diagnostic tool in schizophrenia: the use of raw and discrepancy scores
title_sort Cognitive scores as a potential diagnostic tool in schizophrenia: the use of raw and discrepancy scores
dc.creator.none.fl_str_mv Gómez Gastiasoro, Ainara
Peña Lasa, Javier
Zubiaurre Elorza, Leire
Del Pino Sáez, Rocío
Ibarretxe Bilbao, Naroa
Ojeda, Natalia
author Gómez Gastiasoro, Ainara
author_facet Gómez Gastiasoro, Ainara
Peña Lasa, Javier
Zubiaurre Elorza, Leire
Del Pino Sáez, Rocío
Ibarretxe Bilbao, Naroa
Ojeda, Natalia
author_role author
author2 Peña Lasa, Javier
Zubiaurre Elorza, Leire
Del Pino Sáez, Rocío
Ibarretxe Bilbao, Naroa
Ojeda, Natalia
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv assessment
cognition
discrepancy scores
processing speed
schizophrenia
verbal memory
topic assessment
cognition
discrepancy scores
processing speed
schizophrenia
verbal memory
description Objective Cognitive scores could be a useful tool when discriminating between patients with schizophrenia (SZ) and non-psychiatric population. However, whether these scores can contribute to the accurate diagnosis of the disease is still unclear. Therefore, this study aimed to identify the best approach as to the inclusion of cognitive impairment as a potential clinical tool in the diagnosis of SZ. Method A total of 258 patients with SZ and 202 healthy controls (HC) were assessed by means of the Hopkins Verbal Learning Test-Revised (HVLT-R) and the Trail Making Test-A (TMT-A). In addition to raw scores, participants' discrepancy scores (DS) in these two cognitive measures were calculated using regression-based norms controlling for age, years of education and premorbid intelligence quotient. Receiver-operating characteristic analyses were performed for both scores in order to assess their diagnostic properties. Results The areas under the curve (AUC) of the HVLT-R total and delayed recall, and TMT-A raw scores were statistically significant and ranged from 0.67 to 0.87. Although significant, AUC of verbal memory DS were lower than those of raw scores (AUC = 0.84; AUC = 0.80). AUC of TMT-A DS was not significant. Conclusions Results suggest that cognitive scores are useful and accurate when discriminating and classifying patients with SZ and HC in the present sample. Raw scores were shown to be more accurate than DS in patients with SZ and to present good diagnostic properties especially regarding verbal memory measures. Obtained indices support the use of cognitive scores as diagnostic criterion in the diagnosis of SZ.
publishDate 2020
dc.date.none.fl_str_mv 2020
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/78817
url http://hdl.handle.net/10810/78817
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://aps.onlinelibrary.wiley.com/doi/10.1111/cp.12191
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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