Utility of a Screening Test (MoCa) to Predict Amyloid Physiopathology in Mild Cognitive Impairment
Introduction: The MoCa (Montreal Cognitive Assessment) Screening test has become relevant in recent years in the screening of patients with Mild Cognitive Impairment (MCI). It is important to seek and study simple and reliable tools in clinical practices that correlate with biological markers that h...
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| Veröffentlicht in: | Journal of Applied Cognitive Neuroscience 2020-12, Vol.1 (1), p.87-91 |
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| creator | Clarens, María Florencia Calandri, Ismael Helou, María Belen Martín, María Eugenia Chrem Méndez, Patricio Crivelli, Lucia |
| description | Introduction: The MoCa (Montreal Cognitive Assessment) Screening test has become relevant in recent years in the screening of patients with Mild Cognitive Impairment (MCI). It is important to seek and study simple and reliable tools in clinical practices that correlate with biological markers that have been used to predict conversion from MCI to AD. Objective: To analyze the MOCA and its cognitive sub-scores and the relationship with Amyloid pathophysiology in Alzheimer’s Disease. Methodology: 32 patients with MCI were studied, they were separated according positive (n: 20) and negative (n: 12) underlying amyloid pathology. The patients performed a extensive cognitive assessment that included MoCa Test. Results: MoCa Total Scores showed significantly different results between groups (p |
| doi_str_mv | 10.17981/JACN.1.1.2020.13 |
| format | Article |
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It is important to seek and study simple and reliable tools in clinical practices that correlate with biological markers that have been used to predict conversion from MCI to AD. Objective: To analyze the MOCA and its cognitive sub-scores and the relationship with Amyloid pathophysiology in Alzheimer’s Disease. Methodology: 32 patients with MCI were studied, they were separated according positive (n: 20) and negative (n: 12) underlying amyloid pathology. The patients performed a extensive cognitive assessment that included MoCa Test. Results: MoCa Total Scores showed significantly different results between groups (p <0.001) as well as the Memory Score (MoCa MIS), the Executive (MoCa EIS), the Attentional Score (MoCa AIS)) (p < 0.001) and the Orientation Score (MoCa OIS)) (p < 0.05) with worse performance of patients with amyloid pathophysiology. Score of MoCa a cut-off point of < 24 was established, since the diagnostic sensitivity at this point was 83% and the specificity 70%. Conclusions: The MoCa is a useful tool to differentiate biomarker status in MCI. Future studies should study this tool in the prodromal phases of the disease.</description><identifier>ISSN: 2745-0031</identifier><identifier>EISSN: 2745-0031</identifier><identifier>DOI: 10.17981/JACN.1.1.2020.13</identifier><language>eng</language><publisher>Buenos Aires: Universidad de la Costa, Department of Civil and Environmental</publisher><subject>Alzheimer's disease ; Biomarkers ; Cognitive ability ; Dementia ; Disease ; Medical imaging ; Memory ; Neuroimaging ; Neuropsychology</subject><ispartof>Journal of Applied Cognitive Neuroscience, 2020-12, Vol.1 (1), p.87-91</ispartof><rights>2020. This work is licensed under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/3074142156?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,21367,27901,27902,33721,43781</link.rule.ids></links><search><creatorcontrib>Clarens, María Florencia</creatorcontrib><creatorcontrib>Calandri, Ismael</creatorcontrib><creatorcontrib>Helou, María Belen</creatorcontrib><creatorcontrib>Martín, María Eugenia</creatorcontrib><creatorcontrib>Chrem Méndez, Patricio</creatorcontrib><creatorcontrib>Crivelli, Lucia</creatorcontrib><title>Utility of a Screening Test (MoCa) to Predict Amyloid Physiopathology in Mild Cognitive Impairment</title><title>Journal of Applied Cognitive Neuroscience</title><description>Introduction: The MoCa (Montreal Cognitive Assessment) Screening test has become relevant in recent years in the screening of patients with Mild Cognitive Impairment (MCI). It is important to seek and study simple and reliable tools in clinical practices that correlate with biological markers that have been used to predict conversion from MCI to AD. Objective: To analyze the MOCA and its cognitive sub-scores and the relationship with Amyloid pathophysiology in Alzheimer’s Disease. Methodology: 32 patients with MCI were studied, they were separated according positive (n: 20) and negative (n: 12) underlying amyloid pathology. The patients performed a extensive cognitive assessment that included MoCa Test. Results: MoCa Total Scores showed significantly different results between groups (p <0.001) as well as the Memory Score (MoCa MIS), the Executive (MoCa EIS), the Attentional Score (MoCa AIS)) (p < 0.001) and the Orientation Score (MoCa OIS)) (p < 0.05) with worse performance of patients with amyloid pathophysiology. Score of MoCa a cut-off point of < 24 was established, since the diagnostic sensitivity at this point was 83% and the specificity 70%. Conclusions: The MoCa is a useful tool to differentiate biomarker status in MCI. Future studies should study this tool in the prodromal phases of the disease.</description><subject>Alzheimer's disease</subject><subject>Biomarkers</subject><subject>Cognitive ability</subject><subject>Dementia</subject><subject>Disease</subject><subject>Medical imaging</subject><subject>Memory</subject><subject>Neuroimaging</subject><subject>Neuropsychology</subject><issn>2745-0031</issn><issn>2745-0031</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNUMtOwzAQtBBIVKUfwM0SFzikeO04j2MV8ShqoRLt2XISJ3WVxMFxkfL3uJQDmsOOVqPdmUHoFsgc4jSBx7dF9j4HD0qo37ELNKFxyANCGFz-49doNgwH4imjwAmfoHzndKPdiE2FJf4srFKd7mq8VYPD92uTyQfsDN5YVerC4UU7NkaXeLMfB2166famMfWIdYfXuilxZupOO_2t8LLtpbat6twNuqpkM6jZ35yi3fPTNnsNVh8vy2yxCgoAxgKeSOV9xREjYc4jTioVRTxiFeQkBhb7DJTlOaEJT6OwDHOQaQGUlbTMk5RSNkV357u9NV9H718czNF2_qVgJA4h9JEjr4KzqrBmGKyqRG91K-0ogIjfNsWpTQEepzaF9_YDMj5lQw</recordid><startdate>20201209</startdate><enddate>20201209</enddate><creator>Clarens, María Florencia</creator><creator>Calandri, Ismael</creator><creator>Helou, María Belen</creator><creator>Martín, María Eugenia</creator><creator>Chrem Méndez, Patricio</creator><creator>Crivelli, Lucia</creator><general>Universidad de la Costa, Department of Civil and Environmental</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope></search><sort><creationdate>20201209</creationdate><title>Utility of a Screening Test (MoCa) to Predict Amyloid Physiopathology in Mild Cognitive Impairment</title><author>Clarens, María Florencia ; Calandri, Ismael ; Helou, María Belen ; Martín, María Eugenia ; Chrem Méndez, Patricio ; Crivelli, Lucia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1133-58ae03376304b5650fe66563f1b0713774523bb0285964d4b1a9c123d2db89223</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Alzheimer's disease</topic><topic>Biomarkers</topic><topic>Cognitive ability</topic><topic>Dementia</topic><topic>Disease</topic><topic>Medical imaging</topic><topic>Memory</topic><topic>Neuroimaging</topic><topic>Neuropsychology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Clarens, María Florencia</creatorcontrib><creatorcontrib>Calandri, Ismael</creatorcontrib><creatorcontrib>Helou, María Belen</creatorcontrib><creatorcontrib>Martín, María Eugenia</creatorcontrib><creatorcontrib>Chrem Méndez, Patricio</creatorcontrib><creatorcontrib>Crivelli, Lucia</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><jtitle>Journal of Applied Cognitive Neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Clarens, María Florencia</au><au>Calandri, Ismael</au><au>Helou, María Belen</au><au>Martín, María Eugenia</au><au>Chrem Méndez, Patricio</au><au>Crivelli, Lucia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Utility of a Screening Test (MoCa) to Predict Amyloid Physiopathology in Mild Cognitive Impairment</atitle><jtitle>Journal of Applied Cognitive Neuroscience</jtitle><date>2020-12-09</date><risdate>2020</risdate><volume>1</volume><issue>1</issue><spage>87</spage><epage>91</epage><pages>87-91</pages><issn>2745-0031</issn><eissn>2745-0031</eissn><abstract>Introduction: The MoCa (Montreal Cognitive Assessment) Screening test has become relevant in recent years in the screening of patients with Mild Cognitive Impairment (MCI). It is important to seek and study simple and reliable tools in clinical practices that correlate with biological markers that have been used to predict conversion from MCI to AD. Objective: To analyze the MOCA and its cognitive sub-scores and the relationship with Amyloid pathophysiology in Alzheimer’s Disease. Methodology: 32 patients with MCI were studied, they were separated according positive (n: 20) and negative (n: 12) underlying amyloid pathology. The patients performed a extensive cognitive assessment that included MoCa Test. Results: MoCa Total Scores showed significantly different results between groups (p <0.001) as well as the Memory Score (MoCa MIS), the Executive (MoCa EIS), the Attentional Score (MoCa AIS)) (p < 0.001) and the Orientation Score (MoCa OIS)) (p < 0.05) with worse performance of patients with amyloid pathophysiology. Score of MoCa a cut-off point of < 24 was established, since the diagnostic sensitivity at this point was 83% and the specificity 70%. 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| subjects | Alzheimer's disease Biomarkers Cognitive ability Dementia Disease Medical imaging Memory Neuroimaging Neuropsychology |
| title | Utility of a Screening Test (MoCa) to Predict Amyloid Physiopathology in Mild Cognitive Impairment |
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