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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Bibliographic Details
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
Subjects:
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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Summary: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.