Montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia

Background: Cognitive impairment is one of the core features of schizophrenia. For its evaluation, current clinical practice relies on detailed neuropsychological batteries which require trained testers and considerable amount of time to administer. Therefore, a brief and reliable screening tool for...

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Main Authors: Yang, Zixu, Quek, Yue Feng, Lam, Max, See, Yuen Mei, Maniam, Yogeswary, Dauwels, Justin, Tan, Bhing Leet, Lee, Jimmy, Nur Amirah Abdul Rashid
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/105711
http://hdl.handle.net/10220/49550
http://dx.doi.org/10.1016/j.schres.2018.03.008
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1057112019-12-06T21:56:21Z Montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia Yang, Zixu Quek, Yue Feng Lam, Max See, Yuen Mei Maniam, Yogeswary Dauwels, Justin Tan, Bhing Leet Lee, Jimmy Nur Amirah Abdul Rashid School of Electrical and Electronic Engineering Lee Kong Chian School of Medicine (LKCMedicine) Engineering::Electrical and electronic engineering Schizophrenia Cognition Background: Cognitive impairment is one of the core features of schizophrenia. For its evaluation, current clinical practice relies on detailed neuropsychological batteries which require trained testers and considerable amount of time to administer. Therefore, a brief and reliable screening tool for identification of overall cognitive impairment prior to a detailed comprehensive neurocognitive assessment is needed in a busy clinical setting. This study evaluates the clinical utility of the Montreal Cognitive Assessment (MoCA) in detecting cognitive impairments in schizophrenia and its relationship with functional outcome and demographic characters. Methods: The MoCA, the Brief Assessment of Cognition in Schizophrenia (BACS), and the Brief UCSD Performance-based Skills Assessment (UPSA-B) were administered to 64 patients with schizophrenia. Mild and severe cognitive impairments were defined as BACS Z-score (calculated with the age and gender adjustments using previously published local norm data) of one or two standard deviations below the mean, respectively. Results: The results showed that the MoCA was significantly correlated with BACS (r = .61, p < .001) and sensitive to detect both mild (AUC = 0.82, p < .001) and severe (AUC = 0.81, p < .001) cognitive impairments in schizophrenia. The MoCA was significantly correlated with UPSA-B score (r = .51, p < .001), and accounted for significant additional variance in UPSA-B score beyond the BACS. Conclusion: These findings indicate that MoCA is a useful bedside cognitive screening instrument for people with schizophrenia. NMRC (Natl Medical Research Council, S’pore) MOH (Min. of Health, S’pore) Published version 2019-08-06T04:12:00Z 2019-12-06T21:56:21Z 2019-08-06T04:12:00Z 2019-12-06T21:56:21Z 2018 Journal Article Yang, Z., Nur Amirah Abdul Rashid, Quek, Y. F., Lam, M., See, Y. M., Maniam, Y., . . . Lee, J. (2018). Montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia. Schizophrenia Research, 199, 58-63. doi:10.1016/j.schres.2018.03.008 0920-9964 https://hdl.handle.net/10356/105711 http://hdl.handle.net/10220/49550 http://dx.doi.org/10.1016/j.schres.2018.03.008 en Schizophrenia Research © 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). 6 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Schizophrenia
Cognition
spellingShingle Engineering::Electrical and electronic engineering
Schizophrenia
Cognition
Yang, Zixu
Quek, Yue Feng
Lam, Max
See, Yuen Mei
Maniam, Yogeswary
Dauwels, Justin
Tan, Bhing Leet
Lee, Jimmy
Nur Amirah Abdul Rashid
Montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia
description Background: Cognitive impairment is one of the core features of schizophrenia. For its evaluation, current clinical practice relies on detailed neuropsychological batteries which require trained testers and considerable amount of time to administer. Therefore, a brief and reliable screening tool for identification of overall cognitive impairment prior to a detailed comprehensive neurocognitive assessment is needed in a busy clinical setting. This study evaluates the clinical utility of the Montreal Cognitive Assessment (MoCA) in detecting cognitive impairments in schizophrenia and its relationship with functional outcome and demographic characters. Methods: The MoCA, the Brief Assessment of Cognition in Schizophrenia (BACS), and the Brief UCSD Performance-based Skills Assessment (UPSA-B) were administered to 64 patients with schizophrenia. Mild and severe cognitive impairments were defined as BACS Z-score (calculated with the age and gender adjustments using previously published local norm data) of one or two standard deviations below the mean, respectively. Results: The results showed that the MoCA was significantly correlated with BACS (r = .61, p < .001) and sensitive to detect both mild (AUC = 0.82, p < .001) and severe (AUC = 0.81, p < .001) cognitive impairments in schizophrenia. The MoCA was significantly correlated with UPSA-B score (r = .51, p < .001), and accounted for significant additional variance in UPSA-B score beyond the BACS. Conclusion: These findings indicate that MoCA is a useful bedside cognitive screening instrument for people with schizophrenia.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Yang, Zixu
Quek, Yue Feng
Lam, Max
See, Yuen Mei
Maniam, Yogeswary
Dauwels, Justin
Tan, Bhing Leet
Lee, Jimmy
Nur Amirah Abdul Rashid
format Article
author Yang, Zixu
Quek, Yue Feng
Lam, Max
See, Yuen Mei
Maniam, Yogeswary
Dauwels, Justin
Tan, Bhing Leet
Lee, Jimmy
Nur Amirah Abdul Rashid
author_sort Yang, Zixu
title Montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia
title_short Montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia
title_full Montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia
title_fullStr Montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia
title_full_unstemmed Montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia
title_sort montreal cognitive assessment as a screening instrument for cognitive impairments in schizophrenia
publishDate 2019
url https://hdl.handle.net/10356/105711
http://hdl.handle.net/10220/49550
http://dx.doi.org/10.1016/j.schres.2018.03.008
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