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Lesion Load May Predict Long-Term Cognitive Dysfunction in Multiple Sclerosis Patients
BACKGROUND: Magnetic Resonance Imaging (MRI) techniques provided evidences into the understanding of cognitive impairment (CIm) in Multiple Sclerosis (MS). OBJECTIVES: To investigate the role of white matter (WM) and gray matter (GM) in predicting long-term CIm in a cohort of MS patients. METHODS: 3...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376682/ https://www.ncbi.nlm.nih.gov/pubmed/25816303 http://dx.doi.org/10.1371/journal.pone.0120754 |
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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_facet | 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 | Patti, Francesco |
collection | PubMed |
description | BACKGROUND: Magnetic Resonance Imaging (MRI) techniques provided evidences into the understanding of cognitive impairment (CIm) in Multiple Sclerosis (MS). OBJECTIVES: To investigate the role of white matter (WM) and gray matter (GM) in predicting long-term CIm in a cohort of MS patients. METHODS: 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. RESULTS: 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). CONCLUSION: In our large MS cohort, focal WM damage appeared to be the most relevant predictor of the long-term cognitive outcome. |
format | Online Article Text |
id | pubmed-4376682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43766822015-04-04 Lesion Load May Predict Long-Term Cognitive Dysfunction in Multiple Sclerosis Patients 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 PLoS One Research Article BACKGROUND: Magnetic Resonance Imaging (MRI) techniques provided evidences into the understanding of cognitive impairment (CIm) in Multiple Sclerosis (MS). OBJECTIVES: To investigate the role of white matter (WM) and gray matter (GM) in predicting long-term CIm in a cohort of MS patients. METHODS: 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. RESULTS: 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). CONCLUSION: In our large MS cohort, focal WM damage appeared to be the most relevant predictor of the long-term cognitive outcome. Public Library of Science 2015-03-27 /pmc/articles/PMC4376682/ /pubmed/25816303 http://dx.doi.org/10.1371/journal.pone.0120754 Text en © 2015 Patti et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article 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 Lesion Load May Predict Long-Term Cognitive Dysfunction in Multiple Sclerosis Patients |
title | Lesion Load May Predict Long-Term Cognitive Dysfunction in Multiple Sclerosis Patients |
title_full | Lesion Load May Predict Long-Term Cognitive Dysfunction in Multiple Sclerosis Patients |
title_fullStr | Lesion Load May Predict Long-Term Cognitive Dysfunction in Multiple Sclerosis Patients |
title_full_unstemmed | Lesion Load May Predict Long-Term Cognitive Dysfunction in Multiple Sclerosis Patients |
title_short | Lesion Load May Predict Long-Term Cognitive Dysfunction in Multiple Sclerosis Patients |
title_sort | lesion load may predict long-term cognitive dysfunction in multiple sclerosis patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376682/ https://www.ncbi.nlm.nih.gov/pubmed/25816303 http://dx.doi.org/10.1371/journal.pone.0120754 |
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