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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
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.
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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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