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author Stellmann, Jan-Patrick
Krumbholz, Markus
Friede, Tim
Gahlen, Anna
Borisow, Nadja
Fischer, Katrin
Hellwig, Kerstin
Pache, Florence
Ruprecht, Klemens
Havla, Joachim
Kümpfel, Tania
Aktas, Orhan
Hartung, Hans-Peter
Ringelstein, Marius
Geis, Christian
Kleinschnitz, Christoph
Berthele, Achim
Hemmer, Bernhard
Angstwurm, Klemens
Young, Kim Lea
Schuster, Simon
Stangel, Martin
Lauda, Florian
Tumani, Hayrettin
Mayer, Christoph
Zeltner, Lena
Ziemann, Ulf
Linker, Ralf Andreas
Schwab, Matthias
Marziniak, Martin
Then Bergh, Florian
Hofstadt-van Oy, Ulrich
Neuhaus, Oliver
Zettl, Uwe
Faiss, Jürgen
Wildemann, Brigitte
Paul, Friedemann
Jarius, Sven
Trebst, Corinna
Kleiter, Ingo
author_facet Stellmann, Jan-Patrick
Krumbholz, Markus
Friede, Tim
Gahlen, Anna
Borisow, Nadja
Fischer, Katrin
Hellwig, Kerstin
Pache, Florence
Ruprecht, Klemens
Havla, Joachim
Kümpfel, Tania
Aktas, Orhan
Hartung, Hans-Peter
Ringelstein, Marius
Geis, Christian
Kleinschnitz, Christoph
Berthele, Achim
Hemmer, Bernhard
Angstwurm, Klemens
Young, Kim Lea
Schuster, Simon
Stangel, Martin
Lauda, Florian
Tumani, Hayrettin
Mayer, Christoph
Zeltner, Lena
Ziemann, Ulf
Linker, Ralf Andreas
Schwab, Matthias
Marziniak, Martin
Then Bergh, Florian
Hofstadt-van Oy, Ulrich
Neuhaus, Oliver
Zettl, Uwe
Faiss, Jürgen
Wildemann, Brigitte
Paul, Friedemann
Jarius, Sven
Trebst, Corinna
Kleiter, Ingo
author_sort Stellmann, Jan-Patrick
collection PubMed
description OBJECTIVE: To analyse predictors for relapses and number of attacks under different immunotherapies in patients with neuromyelitis optica spectrum disorder (NMOSD). DESIGN: This is a retrospective cohort study conducted in neurology departments at 21 regional and university hospitals in Germany. Eligible participants were patients with aquaporin-4-antibody-positive or aquaporin-4-antibody-negative NMOSD. Main outcome measures were HRs from Cox proportional hazard regression models adjusted for centre effects, important prognostic factors and repeated treatment episodes. RESULTS: 265 treatment episodes with a mean duration of 442 days (total of 321 treatment years) in 144 patients (mean age at first attack: 40.9 years, 82.6% female, 86.1% aquaporin-4-antibody-positive) were analysed. 191 attacks occurred during any of the treatments (annual relapse rate=0.60). The most common treatments were rituximab (n=77, 111 patient-years), azathioprine (n=52, 68 patient-years), interferon-β (n=32, 61 patient-years), mitoxantrone (n=34, 32.1 patient-years) and glatiramer acetate (n=17, 10 patient-years). Azathioprine (HR=0.4, 95% CI 0.3 to 0.7, p=0.001) and rituximab (HR=0.6, 95% CI 0.4 to 1.0, p=0.034) reduced the attack risk compared with interferon-β, whereas mitoxantrone and glatiramer acetate did not. Patients who were aquaporin-4-antibody-positive had a higher risk of attacks (HR=2.5, 95% CI 1.3 to 5.1, p=0.009). Every decade of age was associated with a lower risk for attacks (HR=0.8, 95% CI 0.7 to 1.0, p=0.039). A previous attack under the same treatment tended to be predictive for further attacks (HR=1.5, 95% CI 1.0 to 2.4, p=0.065). CONCLUSIONS: Age, antibody status and possibly previous attacks predict further attacks in patients treated for NMOSD. Azathioprine and rituximab are superior to interferon-β.
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spelling pubmed-55375142017-08-03 Immunotherapies in neuromyelitis optica spectrum disorder: efficacy and predictors of response Stellmann, Jan-Patrick Krumbholz, Markus Friede, Tim Gahlen, Anna Borisow, Nadja Fischer, Katrin Hellwig, Kerstin Pache, Florence Ruprecht, Klemens Havla, Joachim Kümpfel, Tania Aktas, Orhan Hartung, Hans-Peter Ringelstein, Marius Geis, Christian Kleinschnitz, Christoph Berthele, Achim Hemmer, Bernhard Angstwurm, Klemens Young, Kim Lea Schuster, Simon Stangel, Martin Lauda, Florian Tumani, Hayrettin Mayer, Christoph Zeltner, Lena Ziemann, Ulf Linker, Ralf Andreas Schwab, Matthias Marziniak, Martin Then Bergh, Florian Hofstadt-van Oy, Ulrich Neuhaus, Oliver Zettl, Uwe Faiss, Jürgen Wildemann, Brigitte Paul, Friedemann Jarius, Sven Trebst, Corinna Kleiter, Ingo J Neurol Neurosurg Psychiatry Neuro-Inflammation OBJECTIVE: To analyse predictors for relapses and number of attacks under different immunotherapies in patients with neuromyelitis optica spectrum disorder (NMOSD). DESIGN: This is a retrospective cohort study conducted in neurology departments at 21 regional and university hospitals in Germany. Eligible participants were patients with aquaporin-4-antibody-positive or aquaporin-4-antibody-negative NMOSD. Main outcome measures were HRs from Cox proportional hazard regression models adjusted for centre effects, important prognostic factors and repeated treatment episodes. RESULTS: 265 treatment episodes with a mean duration of 442 days (total of 321 treatment years) in 144 patients (mean age at first attack: 40.9 years, 82.6% female, 86.1% aquaporin-4-antibody-positive) were analysed. 191 attacks occurred during any of the treatments (annual relapse rate=0.60). The most common treatments were rituximab (n=77, 111 patient-years), azathioprine (n=52, 68 patient-years), interferon-β (n=32, 61 patient-years), mitoxantrone (n=34, 32.1 patient-years) and glatiramer acetate (n=17, 10 patient-years). Azathioprine (HR=0.4, 95% CI 0.3 to 0.7, p=0.001) and rituximab (HR=0.6, 95% CI 0.4 to 1.0, p=0.034) reduced the attack risk compared with interferon-β, whereas mitoxantrone and glatiramer acetate did not. Patients who were aquaporin-4-antibody-positive had a higher risk of attacks (HR=2.5, 95% CI 1.3 to 5.1, p=0.009). Every decade of age was associated with a lower risk for attacks (HR=0.8, 95% CI 0.7 to 1.0, p=0.039). A previous attack under the same treatment tended to be predictive for further attacks (HR=1.5, 95% CI 1.0 to 2.4, p=0.065). CONCLUSIONS: Age, antibody status and possibly previous attacks predict further attacks in patients treated for NMOSD. Azathioprine and rituximab are superior to interferon-β. Journal of Neurology, Neurosurgery, and Psychiatry 2017-08 2017-06-01 /pmc/articles/PMC5537514/ /pubmed/28572277 http://dx.doi.org/10.1136/jnnp-2017-315603 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Neuro-Inflammation
Stellmann, Jan-Patrick
Krumbholz, Markus
Friede, Tim
Gahlen, Anna
Borisow, Nadja
Fischer, Katrin
Hellwig, Kerstin
Pache, Florence
Ruprecht, Klemens
Havla, Joachim
Kümpfel, Tania
Aktas, Orhan
Hartung, Hans-Peter
Ringelstein, Marius
Geis, Christian
Kleinschnitz, Christoph
Berthele, Achim
Hemmer, Bernhard
Angstwurm, Klemens
Young, Kim Lea
Schuster, Simon
Stangel, Martin
Lauda, Florian
Tumani, Hayrettin
Mayer, Christoph
Zeltner, Lena
Ziemann, Ulf
Linker, Ralf Andreas
Schwab, Matthias
Marziniak, Martin
Then Bergh, Florian
Hofstadt-van Oy, Ulrich
Neuhaus, Oliver
Zettl, Uwe
Faiss, Jürgen
Wildemann, Brigitte
Paul, Friedemann
Jarius, Sven
Trebst, Corinna
Kleiter, Ingo
Immunotherapies in neuromyelitis optica spectrum disorder: efficacy and predictors of response
title Immunotherapies in neuromyelitis optica spectrum disorder: efficacy and predictors of response
title_full Immunotherapies in neuromyelitis optica spectrum disorder: efficacy and predictors of response
title_fullStr Immunotherapies in neuromyelitis optica spectrum disorder: efficacy and predictors of response
title_full_unstemmed Immunotherapies in neuromyelitis optica spectrum disorder: efficacy and predictors of response
title_short Immunotherapies in neuromyelitis optica spectrum disorder: efficacy and predictors of response
title_sort immunotherapies in neuromyelitis optica spectrum disorder: efficacy and predictors of response
topic Neuro-Inflammation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537514/
https://www.ncbi.nlm.nih.gov/pubmed/28572277
http://dx.doi.org/10.1136/jnnp-2017-315603
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