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Assessment of cognitive function and its predictors in patients with multiple sclerosis: a case–control study
Introduction Cognitive dysfunction can be seen in patients with MS (PwMS) and has been gaining attention in recent years. This study aimed to assess cognitive function and its determinants in PwMS using Addenbrooke Cognitive Assessment Battery (ACE-R). Material and methods This case–control study wa...
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| Published in: | Neurological sciences 2023-03, Vol.44 (3), p.1009-1016 |
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| container_title | Neurological sciences |
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| creator | Basci, Dila Tulek, Zeliha |
| description | Introduction
Cognitive dysfunction can be seen in patients with MS (PwMS) and has been gaining attention in recent years. This study aimed to assess cognitive function and its determinants in PwMS using Addenbrooke Cognitive Assessment Battery (ACE-R).
Material and methods
This case–control study was conducted at an outpatient MS clinic in Istanbul. The sample consisted of 60 consecutive patients with definite MS and 60 matched controls. Cognitive function was evaluated by using the ACE-R. Subjective cognitive function, anxiety, depression, and fatigue were evaluated by validated scales.
Results
The mean age of the patients was 38.8, and the time since diagnosis was nine years. The majority of the patients had relapsing–remitting MS. Compared to age, sex, and education-matched healthy controls, all ACE-R scores, attention/orientation (
p
= 0.020), memory (
p
= 0.003), verbal fluency (
p
= 0.002), language (
p
= 0.002), visuospatial (
p
= 0.001), and general cognitive functioning (
p
|
| doi_str_mv | 10.1007/s10072-022-06524-8 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2742657741</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2775851344</sourcerecordid><originalsourceid>FETCH-LOGICAL-c305t-fd90a835771846ecaf380f8ca202843819d12c9ff7629522335142b100f268793</originalsourceid><addsrcrecordid>eNp9kc1OFTEcxRsjEbj6Ai5IEzduRvo57bAjRIGEhI2um9JpsWSmHfrvaNj5Dr6hT0LxXjFx4aIfSX_ntD0HobeUfKCEqGN4mllHWBu9ZKLTL9ABlQPpuFD65W5PtRL76BDgjhBCBeWv0D7vheBS8AOUTwE8wOxTxTlgl29TrPGbx2FNrsacsE0jjhXwUvwYXc0FcEx4sTU2DeDvsX7F8zrVuEweg5t8yRDhBFvsLPhfP366nGrJE4a6jg-v0V6wE_g3u3WDvnz6-Pnsoru6Pr88O73qHCeydmEciNVcKkW16L2zgWsStLOMMC24psNImRtCUD0bJGOcSyrYTQsksF6rgW_Q-63vUvL96qGaOYLz02STzysYpgTrm33LY4Pe_YPe5bWk9rpGKakl5S2tDWJbyrX_QfHBLCXOtjwYSsxTEWZbh2l1mN91GN1ERzvr9Wb247PkT_4N4FsA2lG69eXv3f-xfQT1t5YV</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2775851344</pqid></control><display><type>article</type><title>Assessment of cognitive function and its predictors in patients with multiple sclerosis: a case–control study</title><source>Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List</source><creator>Basci, Dila ; Tulek, Zeliha</creator><creatorcontrib>Basci, Dila ; Tulek, Zeliha</creatorcontrib><description>Introduction
Cognitive dysfunction can be seen in patients with MS (PwMS) and has been gaining attention in recent years. This study aimed to assess cognitive function and its determinants in PwMS using Addenbrooke Cognitive Assessment Battery (ACE-R).
Material and methods
This case–control study was conducted at an outpatient MS clinic in Istanbul. The sample consisted of 60 consecutive patients with definite MS and 60 matched controls. Cognitive function was evaluated by using the ACE-R. Subjective cognitive function, anxiety, depression, and fatigue were evaluated by validated scales.
Results
The mean age of the patients was 38.8, and the time since diagnosis was nine years. The majority of the patients had relapsing–remitting MS. Compared to age, sex, and education-matched healthy controls, all ACE-R scores, attention/orientation (
p
= 0.020), memory (
p
= 0.003), verbal fluency (
p
= 0.002), language (
p
= 0.002), visuospatial (
p
= 0.001), and general cognitive functioning (
p
< 0.001), were found to be lower in PwMS. The patients obtained the lowest scores in memory and fluency and the highest in the visuospatial domain. Age, education, mobility, subjective cognitive dysfunction, anxiety, depression, and fatigue were associated with cognitive test scores. However, only education, depression, and fatigue remained significant in the multivariable analysis.
Conclusion
This study revealed impaired domains of cognitive functioning and its predictors in PwMS. Understanding cognitive dysfunction and its predictors in PwMS may enable healthcare providers to identify patients who might benefit from interventions to improve cognitive function. Assessment of PwMS at outpatient clinics with a practical cognitive test that does not require special competence can be suggested.</description><identifier>ISSN: 1590-1874</identifier><identifier>EISSN: 1590-3478</identifier><identifier>DOI: 10.1007/s10072-022-06524-8</identifier><identifier>PMID: 36443543</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Anxiety ; Case-Control Studies ; Child ; Cognition ; Cognitive ability ; Cognitive Dysfunction - complications ; Cognitive Dysfunction - etiology ; Fatigue - complications ; Fatigue - etiology ; Humans ; Medicine ; Medicine & Public Health ; Memory ; Mental depression ; Multiple sclerosis ; Multiple Sclerosis - complications ; Multiple Sclerosis - diagnosis ; Multiple Sclerosis - psychology ; Neurology ; Neuropsychological Tests ; Neuroradiology ; Neurosciences ; Neurosurgery ; Original Article ; Psychiatry</subject><ispartof>Neurological sciences, 2023-03, Vol.44 (3), p.1009-1016</ispartof><rights>Fondazione Società Italiana di Neurologia 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2022. Fondazione Società Italiana di Neurologia.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c305t-fd90a835771846ecaf380f8ca202843819d12c9ff7629522335142b100f268793</citedby><cites>FETCH-LOGICAL-c305t-fd90a835771846ecaf380f8ca202843819d12c9ff7629522335142b100f268793</cites><orcidid>0000-0002-4281-8316 ; 0000-0001-8186-6698</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36443543$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Basci, Dila</creatorcontrib><creatorcontrib>Tulek, Zeliha</creatorcontrib><title>Assessment of cognitive function and its predictors in patients with multiple sclerosis: a case–control study</title><title>Neurological sciences</title><addtitle>Neurol Sci</addtitle><addtitle>Neurol Sci</addtitle><description>Introduction
Cognitive dysfunction can be seen in patients with MS (PwMS) and has been gaining attention in recent years. This study aimed to assess cognitive function and its determinants in PwMS using Addenbrooke Cognitive Assessment Battery (ACE-R).
Material and methods
This case–control study was conducted at an outpatient MS clinic in Istanbul. The sample consisted of 60 consecutive patients with definite MS and 60 matched controls. Cognitive function was evaluated by using the ACE-R. Subjective cognitive function, anxiety, depression, and fatigue were evaluated by validated scales.
Results
The mean age of the patients was 38.8, and the time since diagnosis was nine years. The majority of the patients had relapsing–remitting MS. Compared to age, sex, and education-matched healthy controls, all ACE-R scores, attention/orientation (
p
= 0.020), memory (
p
= 0.003), verbal fluency (
p
= 0.002), language (
p
= 0.002), visuospatial (
p
= 0.001), and general cognitive functioning (
p
< 0.001), were found to be lower in PwMS. The patients obtained the lowest scores in memory and fluency and the highest in the visuospatial domain. Age, education, mobility, subjective cognitive dysfunction, anxiety, depression, and fatigue were associated with cognitive test scores. However, only education, depression, and fatigue remained significant in the multivariable analysis.
Conclusion
This study revealed impaired domains of cognitive functioning and its predictors in PwMS. Understanding cognitive dysfunction and its predictors in PwMS may enable healthcare providers to identify patients who might benefit from interventions to improve cognitive function. Assessment of PwMS at outpatient clinics with a practical cognitive test that does not require special competence can be suggested.</description><subject>Anxiety</subject><subject>Case-Control Studies</subject><subject>Child</subject><subject>Cognition</subject><subject>Cognitive ability</subject><subject>Cognitive Dysfunction - complications</subject><subject>Cognitive Dysfunction - etiology</subject><subject>Fatigue - complications</subject><subject>Fatigue - etiology</subject><subject>Humans</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Memory</subject><subject>Mental depression</subject><subject>Multiple sclerosis</subject><subject>Multiple Sclerosis - complications</subject><subject>Multiple Sclerosis - diagnosis</subject><subject>Multiple Sclerosis - psychology</subject><subject>Neurology</subject><subject>Neuropsychological Tests</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Neurosurgery</subject><subject>Original Article</subject><subject>Psychiatry</subject><issn>1590-1874</issn><issn>1590-3478</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kc1OFTEcxRsjEbj6Ai5IEzduRvo57bAjRIGEhI2um9JpsWSmHfrvaNj5Dr6hT0LxXjFx4aIfSX_ntD0HobeUfKCEqGN4mllHWBu9ZKLTL9ABlQPpuFD65W5PtRL76BDgjhBCBeWv0D7vheBS8AOUTwE8wOxTxTlgl29TrPGbx2FNrsacsE0jjhXwUvwYXc0FcEx4sTU2DeDvsX7F8zrVuEweg5t8yRDhBFvsLPhfP366nGrJE4a6jg-v0V6wE_g3u3WDvnz6-Pnsoru6Pr88O73qHCeydmEciNVcKkW16L2zgWsStLOMMC24psNImRtCUD0bJGOcSyrYTQsksF6rgW_Q-63vUvL96qGaOYLz02STzysYpgTrm33LY4Pe_YPe5bWk9rpGKakl5S2tDWJbyrX_QfHBLCXOtjwYSsxTEWZbh2l1mN91GN1ERzvr9Wb247PkT_4N4FsA2lG69eXv3f-xfQT1t5YV</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Basci, Dila</creator><creator>Tulek, Zeliha</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4281-8316</orcidid><orcidid>https://orcid.org/0000-0001-8186-6698</orcidid></search><sort><creationdate>20230301</creationdate><title>Assessment of cognitive function and its predictors in patients with multiple sclerosis: a case–control study</title><author>Basci, Dila ; Tulek, Zeliha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c305t-fd90a835771846ecaf380f8ca202843819d12c9ff7629522335142b100f268793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Anxiety</topic><topic>Case-Control Studies</topic><topic>Child</topic><topic>Cognition</topic><topic>Cognitive ability</topic><topic>Cognitive Dysfunction - complications</topic><topic>Cognitive Dysfunction - etiology</topic><topic>Fatigue - complications</topic><topic>Fatigue - etiology</topic><topic>Humans</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Memory</topic><topic>Mental depression</topic><topic>Multiple sclerosis</topic><topic>Multiple Sclerosis - complications</topic><topic>Multiple Sclerosis - diagnosis</topic><topic>Multiple Sclerosis - psychology</topic><topic>Neurology</topic><topic>Neuropsychological Tests</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Neurosurgery</topic><topic>Original Article</topic><topic>Psychiatry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Basci, Dila</creatorcontrib><creatorcontrib>Tulek, Zeliha</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</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>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</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><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Neurological sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Basci, Dila</au><au>Tulek, Zeliha</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of cognitive function and its predictors in patients with multiple sclerosis: a case–control study</atitle><jtitle>Neurological sciences</jtitle><stitle>Neurol Sci</stitle><addtitle>Neurol Sci</addtitle><date>2023-03-01</date><risdate>2023</risdate><volume>44</volume><issue>3</issue><spage>1009</spage><epage>1016</epage><pages>1009-1016</pages><issn>1590-1874</issn><eissn>1590-3478</eissn><abstract>Introduction
Cognitive dysfunction can be seen in patients with MS (PwMS) and has been gaining attention in recent years. This study aimed to assess cognitive function and its determinants in PwMS using Addenbrooke Cognitive Assessment Battery (ACE-R).
Material and methods
This case–control study was conducted at an outpatient MS clinic in Istanbul. The sample consisted of 60 consecutive patients with definite MS and 60 matched controls. Cognitive function was evaluated by using the ACE-R. Subjective cognitive function, anxiety, depression, and fatigue were evaluated by validated scales.
Results
The mean age of the patients was 38.8, and the time since diagnosis was nine years. The majority of the patients had relapsing–remitting MS. Compared to age, sex, and education-matched healthy controls, all ACE-R scores, attention/orientation (
p
= 0.020), memory (
p
= 0.003), verbal fluency (
p
= 0.002), language (
p
= 0.002), visuospatial (
p
= 0.001), and general cognitive functioning (
p
< 0.001), were found to be lower in PwMS. The patients obtained the lowest scores in memory and fluency and the highest in the visuospatial domain. Age, education, mobility, subjective cognitive dysfunction, anxiety, depression, and fatigue were associated with cognitive test scores. However, only education, depression, and fatigue remained significant in the multivariable analysis.
Conclusion
This study revealed impaired domains of cognitive functioning and its predictors in PwMS. Understanding cognitive dysfunction and its predictors in PwMS may enable healthcare providers to identify patients who might benefit from interventions to improve cognitive function. Assessment of PwMS at outpatient clinics with a practical cognitive test that does not require special competence can be suggested.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>36443543</pmid><doi>10.1007/s10072-022-06524-8</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-4281-8316</orcidid><orcidid>https://orcid.org/0000-0001-8186-6698</orcidid></addata></record> |
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| source | Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List |
| subjects | Anxiety Case-Control Studies Child Cognition Cognitive ability Cognitive Dysfunction - complications Cognitive Dysfunction - etiology Fatigue - complications Fatigue - etiology Humans Medicine Medicine & Public Health Memory Mental depression Multiple sclerosis Multiple Sclerosis - complications Multiple Sclerosis - diagnosis Multiple Sclerosis - psychology Neurology Neuropsychological Tests Neuroradiology Neurosciences Neurosurgery Original Article Psychiatry |
| title | Assessment of cognitive function and its predictors in patients with multiple sclerosis: a case–control study |
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