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Can we predict cognitive decline after initial diagnosis of multiple sclerosis? Results from the German National early MS cohort (KKNMS)
BACKGROUND: Cognitive impairment (CI) affects approximately one-third of the patients with early multiple sclerosis (MS) and clinically isolated syndrome (CIS). Little is known about factors predicting CI and progression after initial diagnosis. METHODS: Neuropsychological screening data from baseli...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373354/ https://www.ncbi.nlm.nih.gov/pubmed/30515631 http://dx.doi.org/10.1007/s00415-018-9142-y |
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author | Johnen, Andreas Bürkner, Paul-Christian Landmeyer, Nils C. Ambrosius, Björn Calabrese, Pasquale Motte, Jeremias Hessler, Nicole Antony, Gisela König, Inke R. Klotz, Luisa Hoshi, Muna-Miriam Aly, Lilian Groppa, Sergiu Luessi, Felix Paul, Friedemann Tackenberg, Björn Bergh, Florian Then Kümpfel, Tania Tumani, Hayrettin Stangel, Martin Weber, Frank Bayas, Antonios Wildemann, Brigitte Heesen, Christoph Zettl, Uwe K. Zipp, Frauke Hemmer, Bernhard Meuth, Sven G. Gold, Ralf Wiendl, Heinz Salmen, Anke |
author_facet | Johnen, Andreas Bürkner, Paul-Christian Landmeyer, Nils C. Ambrosius, Björn Calabrese, Pasquale Motte, Jeremias Hessler, Nicole Antony, Gisela König, Inke R. Klotz, Luisa Hoshi, Muna-Miriam Aly, Lilian Groppa, Sergiu Luessi, Felix Paul, Friedemann Tackenberg, Björn Bergh, Florian Then Kümpfel, Tania Tumani, Hayrettin Stangel, Martin Weber, Frank Bayas, Antonios Wildemann, Brigitte Heesen, Christoph Zettl, Uwe K. Zipp, Frauke Hemmer, Bernhard Meuth, Sven G. Gold, Ralf Wiendl, Heinz Salmen, Anke |
author_sort | Johnen, Andreas |
collection | PubMed |
description | BACKGROUND: Cognitive impairment (CI) affects approximately one-third of the patients with early multiple sclerosis (MS) and clinically isolated syndrome (CIS). Little is known about factors predicting CI and progression after initial diagnosis. METHODS: Neuropsychological screening data from baseline and 1-year follow-up of a prospective multicenter cohort study (NationMS) involving 1123 patients with newly diagnosed MS or CIS were analyzed. Employing linear multilevel models, we investigated whether demographic, clinical and conventional MRI markers at baseline were predictive for CI and longitudinal cognitive changes. RESULTS: At baseline, 22% of patients had CI (impairment in ≥2 cognitive domains) with highest frequencies and severity in processing speed and executive functions. Demographics (fewer years of academic education, higher age, male sex), clinical (EDSS, depressive symptoms) but no conventional MRI characteristics were linked to baseline CI. At follow-up, only 14% of patients showed CI suggesting effects of retesting. Neither baseline characteristics nor initiation of treatment between baseline and follow-up was able to predict cognitive changes within the follow-up period of 1 year. CONCLUSIONS: Identification of risk factors for short-term cognitive change in newly diagnosed MS or CIS is insufficient using only demographic, clinical and conventional MRI data. Change-sensitive, re-test reliable cognitive tests and more sophisticated predictors need to be employed in future clinical trials and cohort studies of early-stage MS to improve prediction. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00415-018-9142-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6373354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-63733542019-03-01 Can we predict cognitive decline after initial diagnosis of multiple sclerosis? Results from the German National early MS cohort (KKNMS) Johnen, Andreas Bürkner, Paul-Christian Landmeyer, Nils C. Ambrosius, Björn Calabrese, Pasquale Motte, Jeremias Hessler, Nicole Antony, Gisela König, Inke R. Klotz, Luisa Hoshi, Muna-Miriam Aly, Lilian Groppa, Sergiu Luessi, Felix Paul, Friedemann Tackenberg, Björn Bergh, Florian Then Kümpfel, Tania Tumani, Hayrettin Stangel, Martin Weber, Frank Bayas, Antonios Wildemann, Brigitte Heesen, Christoph Zettl, Uwe K. Zipp, Frauke Hemmer, Bernhard Meuth, Sven G. Gold, Ralf Wiendl, Heinz Salmen, Anke J Neurol Original Communication BACKGROUND: Cognitive impairment (CI) affects approximately one-third of the patients with early multiple sclerosis (MS) and clinically isolated syndrome (CIS). Little is known about factors predicting CI and progression after initial diagnosis. METHODS: Neuropsychological screening data from baseline and 1-year follow-up of a prospective multicenter cohort study (NationMS) involving 1123 patients with newly diagnosed MS or CIS were analyzed. Employing linear multilevel models, we investigated whether demographic, clinical and conventional MRI markers at baseline were predictive for CI and longitudinal cognitive changes. RESULTS: At baseline, 22% of patients had CI (impairment in ≥2 cognitive domains) with highest frequencies and severity in processing speed and executive functions. Demographics (fewer years of academic education, higher age, male sex), clinical (EDSS, depressive symptoms) but no conventional MRI characteristics were linked to baseline CI. At follow-up, only 14% of patients showed CI suggesting effects of retesting. Neither baseline characteristics nor initiation of treatment between baseline and follow-up was able to predict cognitive changes within the follow-up period of 1 year. CONCLUSIONS: Identification of risk factors for short-term cognitive change in newly diagnosed MS or CIS is insufficient using only demographic, clinical and conventional MRI data. Change-sensitive, re-test reliable cognitive tests and more sophisticated predictors need to be employed in future clinical trials and cohort studies of early-stage MS to improve prediction. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00415-018-9142-y) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-12-04 2019 /pmc/articles/PMC6373354/ /pubmed/30515631 http://dx.doi.org/10.1007/s00415-018-9142-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Communication Johnen, Andreas Bürkner, Paul-Christian Landmeyer, Nils C. Ambrosius, Björn Calabrese, Pasquale Motte, Jeremias Hessler, Nicole Antony, Gisela König, Inke R. Klotz, Luisa Hoshi, Muna-Miriam Aly, Lilian Groppa, Sergiu Luessi, Felix Paul, Friedemann Tackenberg, Björn Bergh, Florian Then Kümpfel, Tania Tumani, Hayrettin Stangel, Martin Weber, Frank Bayas, Antonios Wildemann, Brigitte Heesen, Christoph Zettl, Uwe K. Zipp, Frauke Hemmer, Bernhard Meuth, Sven G. Gold, Ralf Wiendl, Heinz Salmen, Anke Can we predict cognitive decline after initial diagnosis of multiple sclerosis? Results from the German National early MS cohort (KKNMS) |
title | Can we predict cognitive decline after initial diagnosis of multiple sclerosis? Results from the German National early MS cohort (KKNMS) |
title_full | Can we predict cognitive decline after initial diagnosis of multiple sclerosis? Results from the German National early MS cohort (KKNMS) |
title_fullStr | Can we predict cognitive decline after initial diagnosis of multiple sclerosis? Results from the German National early MS cohort (KKNMS) |
title_full_unstemmed | Can we predict cognitive decline after initial diagnosis of multiple sclerosis? Results from the German National early MS cohort (KKNMS) |
title_short | Can we predict cognitive decline after initial diagnosis of multiple sclerosis? Results from the German National early MS cohort (KKNMS) |
title_sort | can we predict cognitive decline after initial diagnosis of multiple sclerosis? results from the german national early ms cohort (kknms) |
topic | Original Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373354/ https://www.ncbi.nlm.nih.gov/pubmed/30515631 http://dx.doi.org/10.1007/s00415-018-9142-y |
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