Cargando…

Outcome prediction models in AQP4-IgG positive neuromyelitis optica spectrum disorders

Pathogenic antibodies targeting the aquaporin-4 water channel on astrocytes are associated with relapsing inflammatory neuromyelitis optica spectrum disorders. The clinical phenotype is characterized by recurrent episodes of optic neuritis, longitudinally extensive transverse myelitis, area postrema...

Descripción completa

Detalles Bibliográficos
Autores principales: Palace, Jacqueline, Lin, Dan-Yu, Zeng, Donglin, Majed, Masoud, Elsone, Liene, Hamid, Shahd, Messina, Silvia, Misu, Tatsuro, Sagen, Jessica, Whittam, Daniel, Takai, Yoshiki, Leite, Maria Isabel, Weinshenker, Brian, Cabre, Philippe, Jacob, Anu, Nakashima, Ichiro, Fujihara, Kazuo, Pittock, Sean J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487334/
https://www.ncbi.nlm.nih.gov/pubmed/30938427
http://dx.doi.org/10.1093/brain/awz054
_version_ 1783414480950001664
author Palace, Jacqueline
Lin, Dan-Yu
Zeng, Donglin
Majed, Masoud
Elsone, Liene
Hamid, Shahd
Messina, Silvia
Misu, Tatsuro
Sagen, Jessica
Whittam, Daniel
Takai, Yoshiki
Leite, Maria Isabel
Weinshenker, Brian
Cabre, Philippe
Jacob, Anu
Nakashima, Ichiro
Fujihara, Kazuo
Pittock, Sean J
author_facet Palace, Jacqueline
Lin, Dan-Yu
Zeng, Donglin
Majed, Masoud
Elsone, Liene
Hamid, Shahd
Messina, Silvia
Misu, Tatsuro
Sagen, Jessica
Whittam, Daniel
Takai, Yoshiki
Leite, Maria Isabel
Weinshenker, Brian
Cabre, Philippe
Jacob, Anu
Nakashima, Ichiro
Fujihara, Kazuo
Pittock, Sean J
author_sort Palace, Jacqueline
collection PubMed
description Pathogenic antibodies targeting the aquaporin-4 water channel on astrocytes are associated with relapsing inflammatory neuromyelitis optica spectrum disorders. The clinical phenotype is characterized by recurrent episodes of optic neuritis, longitudinally extensive transverse myelitis, area postrema attacks and less common brainstem and cerebral events. Patients often develop major residual disability from these attacks, so early diagnosis and initiation of attackpreventing medications is important. Accurate prediction of relapse would assist physicians in counselling patients, planning treatment and designing clinical trials. We used a large multicentre dataset of 441 patients from the UK, USA, Japan and Martinique who collectively experienced 1976 attacks, and applied sophisticated mathematical modelling to predict likelihood of relapse and disability at different time points. We found that Japanese patients had a lower risk of subsequent attacks except for brainstem and cerebral events, with an overall relative relapse risk of 0.681 (P = 0.001) compared to Caucasians and African patients, who had a higher likelihood of cerebral attacks, with a relative relapse risk of 3.309 (P = 0.009) compared to Caucasians. Female patients had a higher chance of relapse than male patients (P = 0.009), and patients with younger age of onset were more likely to have optic neuritis relapses (P < 0.001). Immunosuppressant drugs reduced and multiple sclerosis disease-modifying agents increased the likelihood of relapse (P < 0.001). Patients with optic neuritis at onset were more likely to develop blindness (P < 0.001), and those with older age of onset were more likely to develop ambulatory disability. Only 25% of long-term disability was related to initial onset attack, indicating the importance of early attack prevention. With respect to selection of patients for clinical trial design, there would be no gain in power by selecting recent onset patients and only a small gain by selecting patients with recent high disease activity. We provide risk estimates of relapse and disability for patients diagnosed and treated with immunosuppressive treatments over the subsequent 2, 3, 5 and 10 years according to type of attack at onset or the first 2-year course, ethnicity, sex and onset age. This study supports significant effects of onset age, onset phenotype and ethnicity on neuromyelitis optica spectrum disorders outcomes. Our results suggest that powering clinical treatment trials based upon relapse activity in the preceding 2 years may offer little benefit in the way of attack risk yet severely hamper clinical trial success.
format Online
Article
Text
id pubmed-6487334
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-64873342019-05-02 Outcome prediction models in AQP4-IgG positive neuromyelitis optica spectrum disorders Palace, Jacqueline Lin, Dan-Yu Zeng, Donglin Majed, Masoud Elsone, Liene Hamid, Shahd Messina, Silvia Misu, Tatsuro Sagen, Jessica Whittam, Daniel Takai, Yoshiki Leite, Maria Isabel Weinshenker, Brian Cabre, Philippe Jacob, Anu Nakashima, Ichiro Fujihara, Kazuo Pittock, Sean J Brain Original Articles Pathogenic antibodies targeting the aquaporin-4 water channel on astrocytes are associated with relapsing inflammatory neuromyelitis optica spectrum disorders. The clinical phenotype is characterized by recurrent episodes of optic neuritis, longitudinally extensive transverse myelitis, area postrema attacks and less common brainstem and cerebral events. Patients often develop major residual disability from these attacks, so early diagnosis and initiation of attackpreventing medications is important. Accurate prediction of relapse would assist physicians in counselling patients, planning treatment and designing clinical trials. We used a large multicentre dataset of 441 patients from the UK, USA, Japan and Martinique who collectively experienced 1976 attacks, and applied sophisticated mathematical modelling to predict likelihood of relapse and disability at different time points. We found that Japanese patients had a lower risk of subsequent attacks except for brainstem and cerebral events, with an overall relative relapse risk of 0.681 (P = 0.001) compared to Caucasians and African patients, who had a higher likelihood of cerebral attacks, with a relative relapse risk of 3.309 (P = 0.009) compared to Caucasians. Female patients had a higher chance of relapse than male patients (P = 0.009), and patients with younger age of onset were more likely to have optic neuritis relapses (P < 0.001). Immunosuppressant drugs reduced and multiple sclerosis disease-modifying agents increased the likelihood of relapse (P < 0.001). Patients with optic neuritis at onset were more likely to develop blindness (P < 0.001), and those with older age of onset were more likely to develop ambulatory disability. Only 25% of long-term disability was related to initial onset attack, indicating the importance of early attack prevention. With respect to selection of patients for clinical trial design, there would be no gain in power by selecting recent onset patients and only a small gain by selecting patients with recent high disease activity. We provide risk estimates of relapse and disability for patients diagnosed and treated with immunosuppressive treatments over the subsequent 2, 3, 5 and 10 years according to type of attack at onset or the first 2-year course, ethnicity, sex and onset age. This study supports significant effects of onset age, onset phenotype and ethnicity on neuromyelitis optica spectrum disorders outcomes. Our results suggest that powering clinical treatment trials based upon relapse activity in the preceding 2 years may offer little benefit in the way of attack risk yet severely hamper clinical trial success. Oxford University Press 2019-05 2019-04-01 /pmc/articles/PMC6487334/ /pubmed/30938427 http://dx.doi.org/10.1093/brain/awz054 Text en © The Author(s) (2019). Published by Oxford University Press on behalf of the Guarantors of Brain. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Articles
Palace, Jacqueline
Lin, Dan-Yu
Zeng, Donglin
Majed, Masoud
Elsone, Liene
Hamid, Shahd
Messina, Silvia
Misu, Tatsuro
Sagen, Jessica
Whittam, Daniel
Takai, Yoshiki
Leite, Maria Isabel
Weinshenker, Brian
Cabre, Philippe
Jacob, Anu
Nakashima, Ichiro
Fujihara, Kazuo
Pittock, Sean J
Outcome prediction models in AQP4-IgG positive neuromyelitis optica spectrum disorders
title Outcome prediction models in AQP4-IgG positive neuromyelitis optica spectrum disorders
title_full Outcome prediction models in AQP4-IgG positive neuromyelitis optica spectrum disorders
title_fullStr Outcome prediction models in AQP4-IgG positive neuromyelitis optica spectrum disorders
title_full_unstemmed Outcome prediction models in AQP4-IgG positive neuromyelitis optica spectrum disorders
title_short Outcome prediction models in AQP4-IgG positive neuromyelitis optica spectrum disorders
title_sort outcome prediction models in aqp4-igg positive neuromyelitis optica spectrum disorders
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487334/
https://www.ncbi.nlm.nih.gov/pubmed/30938427
http://dx.doi.org/10.1093/brain/awz054
work_keys_str_mv AT palacejacqueline outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT lindanyu outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT zengdonglin outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT majedmasoud outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT elsoneliene outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT hamidshahd outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT messinasilvia outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT misutatsuro outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT sagenjessica outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT whittamdaniel outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT takaiyoshiki outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT leitemariaisabel outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT weinshenkerbrian outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT cabrephilippe outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT jacobanu outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT nakashimaichiro outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT fujiharakazuo outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders
AT pittockseanj outcomepredictionmodelsinaqp4iggpositiveneuromyelitisopticaspectrumdisorders