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Lesion load may predict long-term cognitive dysfunction in multiple sclerosis patients
Magnetic Resonance Imaging (MRI) techniques provided evidences into the understanding of cognitive impairment (CIm) in Multiple Sclerosis (MS). To investigate the role of white matter (WM) and gray matter (GM) in predicting long-term CIm in a cohort of MS patients. 303 out of 597 patients participat...
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| Published in: | PloS one 2015-03, Vol.10 (3), p.e0120754-e0120754 |
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| creator | Patti, Francesco De Stefano, Manuela Lavorgna, Luigi Messina, Silvia Chisari, Clara Grazia Ippolito, Domenico Lanzillo, Roberta Vacchiano, Veria Realmuto, Sabrina Valentino, Paola Coniglio, Gabriella Buccafusca, Maria Paolicelli, Damiano D'Ambrosio, Alessandro Montella, Patrizia Brescia Morra, Vincenzo Savettieri, Giovanni Alfano, Bruno Gallo, Antonio Simone, Isabella Viterbo, Rosa Zappia, Mario Bonavita, Simona Tedeschi, Gioacchino |
| description | Magnetic Resonance Imaging (MRI) techniques provided evidences into the understanding of cognitive impairment (CIm) in Multiple Sclerosis (MS).
To investigate the role of white matter (WM) and gray matter (GM) in predicting long-term CIm in a cohort of MS patients.
303 out of 597 patients participating in a previous multicenter clinical-MRI study were enrolled (49.4% were lost at follow-up). The following MRI parameters, expressed as fraction (f) of intracranial volume, were evaluated: cerebrospinal fluid (CSF-f), WM-f, GM-f and abnormal WM (AWM-f), a measure of lesion load. Nine years later, cognitive status was assessed in 241 patients using the Symbol Digit Modalities Test (SDMT), the Semantically Related Word List Test (SRWL), the Modified Card Sorting Test (MCST), and the Paced Auditory Serial Addition Test (PASAT). In particular, being SRWL a memory test, both immediate recall and delayed recall were evaluated. MCST scoring was calculated based on the number of categories, number of perseverative and non-perseverative errors.
AWM-f was predictive of an impaired performance 9 years ahead in SDMT (OR 1.49, CI 1.12-1.97 p = 0.006), PASAT (OR 1.43, CI 1.14-1.80 p = 0.002), SRWL-immediate recall (OR 1.72 CI 1.35-2.20 p |
| doi_str_mv | 10.1371/journal.pone.0120754 |
| format | article |
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To investigate the role of white matter (WM) and gray matter (GM) in predicting long-term CIm in a cohort of MS patients.
303 out of 597 patients participating in a previous multicenter clinical-MRI study were enrolled (49.4% were lost at follow-up). The following MRI parameters, expressed as fraction (f) of intracranial volume, were evaluated: cerebrospinal fluid (CSF-f), WM-f, GM-f and abnormal WM (AWM-f), a measure of lesion load. Nine years later, cognitive status was assessed in 241 patients using the Symbol Digit Modalities Test (SDMT), the Semantically Related Word List Test (SRWL), the Modified Card Sorting Test (MCST), and the Paced Auditory Serial Addition Test (PASAT). In particular, being SRWL a memory test, both immediate recall and delayed recall were evaluated. MCST scoring was calculated based on the number of categories, number of perseverative and non-perseverative errors.
AWM-f was predictive of an impaired performance 9 years ahead in SDMT (OR 1.49, CI 1.12-1.97 p = 0.006), PASAT (OR 1.43, CI 1.14-1.80 p = 0.002), SRWL-immediate recall (OR 1.72 CI 1.35-2.20 p<0.001), SRWL-delayed recall (OR 1.61 CI 1.28-2.03 p<0.001), MCST-category (OR 1.52, CI 1.2-1.9 p<0.001), MCST-perseverative error(OR 1.51 CI 1.2-1.9 p = 0.001), MCST-non perseverative error (OR 1.26 CI 1.02-1.55 p = 0.032).
In our large MS cohort, focal WM damage appeared to be the most relevant predictor of the long-term cognitive outcome.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0120754</identifier><identifier>PMID: 25816303</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aging ; Brain - pathology ; Cerebrospinal fluid ; Cognition Disorders - etiology ; Cognition Disorders - pathology ; Cognitive ability ; Cognitive disorders ; Cohort Studies ; Disability ; Disease Progression ; Female ; Follow-Up Studies ; Gray Matter - pathology ; Hospitals ; Humans ; Magnetic resonance ; Magnetic Resonance Imaging ; Male ; Medical research ; Memory ; Memory, Short-Term ; Metabolism ; Middle Aged ; Multiple sclerosis ; Multiple Sclerosis - complications ; Multiple Sclerosis - pathology ; Nerve Fibers, Myelinated - pathology ; Neurology ; Neuropsychological Tests ; Neurosciences ; NMR ; Nuclear magnetic resonance ; Patients ; Performance prediction ; Prognosis ; Recall ; Substantia alba ; Substantia grisea</subject><ispartof>PloS one, 2015-03, Vol.10 (3), p.e0120754-e0120754</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Patti et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Patti et al 2015 Patti et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-d2fe219ae3d55a7bc6b3416553082a203f0aa1da0b9f67a1a0c049e29b3a7e7d3</citedby><cites>FETCH-LOGICAL-c692t-d2fe219ae3d55a7bc6b3416553082a203f0aa1da0b9f67a1a0c049e29b3a7e7d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1667159939/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1667159939?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25816303$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Wylie, Glenn</contributor><creatorcontrib>Patti, Francesco</creatorcontrib><creatorcontrib>De Stefano, Manuela</creatorcontrib><creatorcontrib>Lavorgna, Luigi</creatorcontrib><creatorcontrib>Messina, Silvia</creatorcontrib><creatorcontrib>Chisari, Clara Grazia</creatorcontrib><creatorcontrib>Ippolito, Domenico</creatorcontrib><creatorcontrib>Lanzillo, Roberta</creatorcontrib><creatorcontrib>Vacchiano, Veria</creatorcontrib><creatorcontrib>Realmuto, Sabrina</creatorcontrib><creatorcontrib>Valentino, Paola</creatorcontrib><creatorcontrib>Coniglio, Gabriella</creatorcontrib><creatorcontrib>Buccafusca, Maria</creatorcontrib><creatorcontrib>Paolicelli, Damiano</creatorcontrib><creatorcontrib>D'Ambrosio, Alessandro</creatorcontrib><creatorcontrib>Montella, Patrizia</creatorcontrib><creatorcontrib>Brescia Morra, Vincenzo</creatorcontrib><creatorcontrib>Savettieri, Giovanni</creatorcontrib><creatorcontrib>Alfano, Bruno</creatorcontrib><creatorcontrib>Gallo, Antonio</creatorcontrib><creatorcontrib>Simone, Isabella</creatorcontrib><creatorcontrib>Viterbo, Rosa</creatorcontrib><creatorcontrib>Zappia, Mario</creatorcontrib><creatorcontrib>Bonavita, Simona</creatorcontrib><creatorcontrib>Tedeschi, Gioacchino</creatorcontrib><title>Lesion load may predict long-term cognitive dysfunction in multiple sclerosis patients</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Magnetic Resonance Imaging (MRI) techniques provided evidences into the understanding of cognitive impairment (CIm) in Multiple Sclerosis (MS).
To investigate the role of white matter (WM) and gray matter (GM) in predicting long-term CIm in a cohort of MS patients.
303 out of 597 patients participating in a previous multicenter clinical-MRI study were enrolled (49.4% were lost at follow-up). The following MRI parameters, expressed as fraction (f) of intracranial volume, were evaluated: cerebrospinal fluid (CSF-f), WM-f, GM-f and abnormal WM (AWM-f), a measure of lesion load. Nine years later, cognitive status was assessed in 241 patients using the Symbol Digit Modalities Test (SDMT), the Semantically Related Word List Test (SRWL), the Modified Card Sorting Test (MCST), and the Paced Auditory Serial Addition Test (PASAT). In particular, being SRWL a memory test, both immediate recall and delayed recall were evaluated. MCST scoring was calculated based on the number of categories, number of perseverative and non-perseverative errors.
AWM-f was predictive of an impaired performance 9 years ahead in SDMT (OR 1.49, CI 1.12-1.97 p = 0.006), PASAT (OR 1.43, CI 1.14-1.80 p = 0.002), SRWL-immediate recall (OR 1.72 CI 1.35-2.20 p<0.001), SRWL-delayed recall (OR 1.61 CI 1.28-2.03 p<0.001), MCST-category (OR 1.52, CI 1.2-1.9 p<0.001), MCST-perseverative error(OR 1.51 CI 1.2-1.9 p = 0.001), MCST-non perseverative error (OR 1.26 CI 1.02-1.55 p = 0.032).
In our large MS cohort, focal WM damage appeared to be the most relevant predictor of the long-term cognitive outcome.</description><subject>Adult</subject><subject>Aging</subject><subject>Brain - pathology</subject><subject>Cerebrospinal fluid</subject><subject>Cognition Disorders - etiology</subject><subject>Cognition Disorders - pathology</subject><subject>Cognitive ability</subject><subject>Cognitive disorders</subject><subject>Cohort Studies</subject><subject>Disability</subject><subject>Disease Progression</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Gray Matter - pathology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Magnetic resonance</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical research</subject><subject>Memory</subject><subject>Memory, Short-Term</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Multiple sclerosis</subject><subject>Multiple Sclerosis - complications</subject><subject>Multiple Sclerosis - pathology</subject><subject>Nerve Fibers, Myelinated - pathology</subject><subject>Neurology</subject><subject>Neuropsychological Tests</subject><subject>Neurosciences</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Patients</subject><subject>Performance prediction</subject><subject>Prognosis</subject><subject>Recall</subject><subject>Substantia alba</subject><subject>Substantia grisea</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl2L1DAUhoso7rr6D0QLgujFjPlo0-ZGWBY_BgYW_NjbcJqknQxpU5t0cf69qdNdprIX0ouUk-d9k3PyJslLjNaYFvjD3o1DB3bdu06vESaoyLNHyTnmlKwYQfTxyf9Z8sz7PUI5LRl7mpyRvMSMInqe3Gy1N65LrQOVtnBI-0ErI0MsdM0q6KFNpWs6E8ytTtXB12MnwyQwXdqONpje6tRLqwfnjU97CEZ3wT9PntRgvX4xrxfJz8-fflx9XW2vv2yuLrcryTgJK0VqTTAHTVWeQ1FJVtEMszynqCQQL14jAKwAVbxmBWBAEmVcE15RKHSh6EXy-ujbW-fFPBIvMGMFzjmnPBKbI6Ec7EU_mBaGg3BgxN-CGxoBQzCxA0EYLxjJtS5VkUmeVTXCiNK6KkABqXD0-jifNlatVjJ2OoBdmC53OrMTjbsVGS0YK0k0eDcbDO7XqH0QrfFSWwudduPx3pyhMs8i-uYf9OHuZqqB2IDpahfPlZOpuMwILhFiaKLWD1DxU7o1MuanNrG-ELxfCCIT9O_QwOi92Hz_9v_s9c2SfXvC7jTYsPPOjlOi_BLMjqCMufKDru-HjJGY4n83DTHFX8zxj7JXpw90L7rLO_0DFrsANQ</recordid><startdate>20150327</startdate><enddate>20150327</enddate><creator>Patti, Francesco</creator><creator>De Stefano, Manuela</creator><creator>Lavorgna, Luigi</creator><creator>Messina, Silvia</creator><creator>Chisari, Clara Grazia</creator><creator>Ippolito, Domenico</creator><creator>Lanzillo, Roberta</creator><creator>Vacchiano, Veria</creator><creator>Realmuto, Sabrina</creator><creator>Valentino, Paola</creator><creator>Coniglio, Gabriella</creator><creator>Buccafusca, Maria</creator><creator>Paolicelli, Damiano</creator><creator>D'Ambrosio, Alessandro</creator><creator>Montella, Patrizia</creator><creator>Brescia Morra, Vincenzo</creator><creator>Savettieri, Giovanni</creator><creator>Alfano, Bruno</creator><creator>Gallo, Antonio</creator><creator>Simone, Isabella</creator><creator>Viterbo, Rosa</creator><creator>Zappia, Mario</creator><creator>Bonavita, Simona</creator><creator>Tedeschi, Gioacchino</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150327</creationdate><title>Lesion load may predict long-term cognitive dysfunction in multiple sclerosis patients</title><author>Patti, Francesco ; De Stefano, Manuela ; Lavorgna, Luigi ; Messina, Silvia ; Chisari, Clara Grazia ; Ippolito, Domenico ; Lanzillo, Roberta ; Vacchiano, Veria ; Realmuto, Sabrina ; Valentino, Paola ; Coniglio, Gabriella ; Buccafusca, Maria ; Paolicelli, Damiano ; D'Ambrosio, Alessandro ; Montella, Patrizia ; Brescia Morra, Vincenzo ; Savettieri, Giovanni ; Alfano, Bruno ; Gallo, Antonio ; Simone, Isabella ; Viterbo, Rosa ; Zappia, Mario ; Bonavita, Simona ; Tedeschi, Gioacchino</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-d2fe219ae3d55a7bc6b3416553082a203f0aa1da0b9f67a1a0c049e29b3a7e7d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Aging</topic><topic>Brain - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Patti, Francesco</au><au>De Stefano, Manuela</au><au>Lavorgna, Luigi</au><au>Messina, Silvia</au><au>Chisari, Clara Grazia</au><au>Ippolito, Domenico</au><au>Lanzillo, Roberta</au><au>Vacchiano, Veria</au><au>Realmuto, Sabrina</au><au>Valentino, Paola</au><au>Coniglio, Gabriella</au><au>Buccafusca, Maria</au><au>Paolicelli, Damiano</au><au>D'Ambrosio, Alessandro</au><au>Montella, Patrizia</au><au>Brescia Morra, Vincenzo</au><au>Savettieri, Giovanni</au><au>Alfano, Bruno</au><au>Gallo, Antonio</au><au>Simone, Isabella</au><au>Viterbo, Rosa</au><au>Zappia, Mario</au><au>Bonavita, Simona</au><au>Tedeschi, Gioacchino</au><au>Wylie, Glenn</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lesion load may predict long-term cognitive dysfunction in multiple sclerosis patients</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-03-27</date><risdate>2015</risdate><volume>10</volume><issue>3</issue><spage>e0120754</spage><epage>e0120754</epage><pages>e0120754-e0120754</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Magnetic Resonance Imaging (MRI) techniques provided evidences into the understanding of cognitive impairment (CIm) in Multiple Sclerosis (MS).
To investigate the role of white matter (WM) and gray matter (GM) in predicting long-term CIm in a cohort of MS patients.
303 out of 597 patients participating in a previous multicenter clinical-MRI study were enrolled (49.4% were lost at follow-up). The following MRI parameters, expressed as fraction (f) of intracranial volume, were evaluated: cerebrospinal fluid (CSF-f), WM-f, GM-f and abnormal WM (AWM-f), a measure of lesion load. Nine years later, cognitive status was assessed in 241 patients using the Symbol Digit Modalities Test (SDMT), the Semantically Related Word List Test (SRWL), the Modified Card Sorting Test (MCST), and the Paced Auditory Serial Addition Test (PASAT). In particular, being SRWL a memory test, both immediate recall and delayed recall were evaluated. MCST scoring was calculated based on the number of categories, number of perseverative and non-perseverative errors.
AWM-f was predictive of an impaired performance 9 years ahead in SDMT (OR 1.49, CI 1.12-1.97 p = 0.006), PASAT (OR 1.43, CI 1.14-1.80 p = 0.002), SRWL-immediate recall (OR 1.72 CI 1.35-2.20 p<0.001), SRWL-delayed recall (OR 1.61 CI 1.28-2.03 p<0.001), MCST-category (OR 1.52, CI 1.2-1.9 p<0.001), MCST-perseverative error(OR 1.51 CI 1.2-1.9 p = 0.001), MCST-non perseverative error (OR 1.26 CI 1.02-1.55 p = 0.032).
In our large MS cohort, focal WM damage appeared to be the most relevant predictor of the long-term cognitive outcome.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25816303</pmid><doi>10.1371/journal.pone.0120754</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2015-03, Vol.10 (3), p.e0120754-e0120754 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1667159939 |
| source | Publicly Available Content Database; PubMed Central |
| subjects | Adult Aging Brain - pathology Cerebrospinal fluid Cognition Disorders - etiology Cognition Disorders - pathology Cognitive ability Cognitive disorders Cohort Studies Disability Disease Progression Female Follow-Up Studies Gray Matter - pathology Hospitals Humans Magnetic resonance Magnetic Resonance Imaging Male Medical research Memory Memory, Short-Term Metabolism Middle Aged Multiple sclerosis Multiple Sclerosis - complications Multiple Sclerosis - pathology Nerve Fibers, Myelinated - pathology Neurology Neuropsychological Tests Neurosciences NMR Nuclear magnetic resonance Patients Performance prediction Prognosis Recall Substantia alba Substantia grisea |
| title | Lesion load may predict long-term cognitive dysfunction in multiple sclerosis patients |
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