Routine CSF parameters as predictors of disease course in multiple sclerosis: An MSBase cohort study

Cathérine Dekeyser; Matthias Hautekeete; Melissa Cambron; Vincent Van Pesch; Francesco Patti; Jens Kuhle; Samia Khoury; Jeanette Lechner Scott; Oliver Gerlach; Alessandra Lugaresi; Davide Maimone; Andrea Surcinelli; Pierre Grammond; Tomas Kalincik; Mario Habek; Barbara Willekens; Richard Macdonell; Patrice Lalive; Tunde Csepany; Helmut Butzkueven; Cavit Boz; Valentina Tomassini; Matteo Foschi; José Luis Sánchez-Menoyo; Ayse Altintas; Saloua Mrabet; Gerardo Iuliano; Maria Jose Sa; Raed Alroughani; Rana Karabudak; Eduardo Aguera-Morales; Orla Gray; Koen de Gans; Anneke van der Walt; Pamela A. McCombe; Norma Deri; Justin Garber; Abdullah Al-Asmi; Olga Skibina; Pierre Duquette; Elisabetta Cartechini; Daniele Spitaleri; Riadh Gouider; Aysun Soysal; Liesbeth Van Hijfte; Mark Slee; Maria Pia Amato; Katherine Buzzard; Guy Laureys

doi:10.1136/jnnp-2023-333307

Routine CSF parameters as predictors of disease course in multiple sclerosis: An MSBase cohort study

Cathérine Dekeyser
, Matthias Hautekeete
, Melissa Cambron
, Vincent Van Pesch
, Francesco Patti
, Jens Kuhle
, Samia Khoury
, Jeanette Lechner Scott
, Oliver Gerlach
, Alessandra Lugaresi
, Davide Maimone
, Andrea Surcinelli
, Pierre Grammond
, Tomas Kalincik
, Mario Habek
, Barbara Willekens
, Richard Macdonell
, Patrice Lalive
, Tunde Csepany
, Helmut Butzkueven

Cavit Boz, Valentina Tomassini, Matteo Foschi, José Luis Sánchez-Menoyo, Ayse Altintas, Saloua Mrabet, Gerardo Iuliano, Maria Jose Sa, Raed Alroughani, Rana Karabudak, Eduardo Aguera-Morales, Orla Gray, Koen de Gans, Anneke van der Walt, Pamela A. McCombe, Norma Deri, Justin Garber, Abdullah Al-Asmi, Olga Skibina, Pierre Duquette, Elisabetta Cartechini, Daniele Spitaleri, Riadh Gouider, Aysun Soysal, Liesbeth Van Hijfte, Mark Slee, Maria Pia Amato, Katherine Buzzard, Guy Laureys

Ghent University
Sint-Jan Bruges Hospital
Université catholique de Louvain
University of Catania
Polyclinic Hospital University of Catania
University of Basel
Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB)
American University of Beirut
University of Newcastle
Hunter New England Health
Zuyderland
Maastricht University
IRCCS Istituto delle Scienze Neurologiche di Bologna
University of Bologna
Azienda Ospedaliera Cannizzaro
Ospedale S. Maria delle Croci
CISSS Chaudière-Appalache
University of Melbourne, Peter MacCallum Cancer Centre
Royal Melbourne Hospital
University of Zagreb
University of Antwerp
Austin Health
University of Geneva
University of Debrecen
Monash University
Alfred Health
Karadeniz Technical University
Gabriele d'Annunzio University
University of L'Aquila
Galdakao-Usansolo University Hospital
Biocruces Health Research Institute
Koc University
Razi University Hospital
Université de Tunis El Manar
Ospedali Riuniti di Salerno
Centro Hospitalar Universitário de São João
University Fernando Pessoa
Al-Amiri Hospital
Yeditepe University
Koşuyolu University
Hospital Universitario Reina Sofía
Reina Sofía University Hospital-IMIBIC-UCO
South Eastern Health and Social Care Trust
Groene Hart Hospital
Royal Brisbane and Women's Hospital
University of Queensland
Hospital General de Agudos Juan Fernandez
Westmead Hospital
Sultan Qaboos University
The Alfred
Box Hill Hospital
University of Montreal
Azienda Sanitaria Unica Regionale Marche&#x2013;AV3
Azienda Ospedaliera di Rilievo Nazionale e di Alta Specialità San Giuseppe Moscati
Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases
Flinders Medical Centre
University of Florence
IRCCS Fondazione Don Carlo Gnocchi - Milano

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

5 Alıntılar (Scopus)

Özet

Background It remains unclear whether routine cerebrospinal fluid (CSF) parameters can serve as predictors of multiple sclerosis (MS) disease course. Methods This large-scale cohort study included persons with MS with CSF data documented in the MSBase registry. CSF parameters to predict time to reach confirmed Expanded Disability Status Scale (EDSS) scores 4, 6 and 7 and annualised relapse rate in the first 2 years after diagnosis (ARR2) were assessed using (cox) regression analysis. Results In total, 11 245 participants were included of which 93.7% (n=10 533) were persons with relapsing-remitting MS (RRMS). In RRMS, the presence of CSF oligoclonal bands (OCBs) was associated with shorter time to disability milestones EDSS 4 (adjusted HR=1.272 (95% CI, 1.089 to 1.485), p=0.002), EDSS 6 (HR=1.314 (95% CI, 1.062 to 1.626), p=0.012) and EDSS 7 (HR=1.686 (95% CI, 1.111 to 2.558), p=0.014). On the other hand, the presence of CSF pleocytosis (≥5 cells/ μL) increased time to moderate disability (EDSS 4) in RRMS (HR=0.774 (95% CI, 0.632 to 0.948), p=0.013). None of the CSF variables were associated with time to disability milestones in persons with primary progressive MS (PPMS). The presence of CSF pleocytosis increased ARR2 in RRMS (adjusted R2=0.036, p=0.015). Conclusions In RRMS, the presence of CSF OCBs predicts shorter time to disability milestones, whereas CSF pleocytosis could be protective. This could however not be found in PPMS. CSF pleocytosis is associated with short-term inflammatory disease activity in RRMS. CSF analysis provides prognostic information which could aid in clinical and therapeutic decision-making.

Orijinal dil	İngilizce
Sayfa (başlangıç-bitiş)	1021-1031
Sayfa sayısı	11
Dergi	Journal of Neurology, Neurosurgery and Psychiatry
Hacim	95
Basın numarası	11
DOI'lar	https://doi.org/10.1136/jnnp-2023-333307
Yayın durumu	Yayınlandı - 2024
Harici olarak yayınlandı	Evet

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 3 Sağlık ve Kaliteli Yaşam

Belgeye Erişim

10.1136/jnnp-2023-333307

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Dekeyser, C., Hautekeete, M., Cambron, M., Van Pesch, V., Patti, F., Kuhle, J., Khoury, S., Lechner Scott, J., Gerlach, O., Lugaresi, A., Maimone, D., Surcinelli, A., Grammond, P., Kalincik, T., Habek, M., Willekens, B., Macdonell, R., Lalive, P., Csepany, T., ... Laureys, G. (2024). Routine CSF parameters as predictors of disease course in multiple sclerosis: An MSBase cohort study. Journal of Neurology, Neurosurgery and Psychiatry, 95(11), 1021-1031. https://doi.org/10.1136/jnnp-2023-333307

@article{312e69e6d98746c0aa7b6e8e116e1c99,

title = "Routine CSF parameters as predictors of disease course in multiple sclerosis: An MSBase cohort study",

abstract = "Background It remains unclear whether routine cerebrospinal fluid (CSF) parameters can serve as predictors of multiple sclerosis (MS) disease course. Methods This large-scale cohort study included persons with MS with CSF data documented in the MSBase registry. CSF parameters to predict time to reach confirmed Expanded Disability Status Scale (EDSS) scores 4, 6 and 7 and annualised relapse rate in the first 2 years after diagnosis (ARR2) were assessed using (cox) regression analysis. Results In total, 11 245 participants were included of which 93.7\% (n=10 533) were persons with relapsing-remitting MS (RRMS). In RRMS, the presence of CSF oligoclonal bands (OCBs) was associated with shorter time to disability milestones EDSS 4 (adjusted HR=1.272 (95\% CI, 1.089 to 1.485), p=0.002), EDSS 6 (HR=1.314 (95\% CI, 1.062 to 1.626), p=0.012) and EDSS 7 (HR=1.686 (95\% CI, 1.111 to 2.558), p=0.014). On the other hand, the presence of CSF pleocytosis (≥5 cells/ μL) increased time to moderate disability (EDSS 4) in RRMS (HR=0.774 (95\% CI, 0.632 to 0.948), p=0.013). None of the CSF variables were associated with time to disability milestones in persons with primary progressive MS (PPMS). The presence of CSF pleocytosis increased ARR2 in RRMS (adjusted R2=0.036, p=0.015). Conclusions In RRMS, the presence of CSF OCBs predicts shorter time to disability milestones, whereas CSF pleocytosis could be protective. This could however not be found in PPMS. CSF pleocytosis is associated with short-term inflammatory disease activity in RRMS. CSF analysis provides prognostic information which could aid in clinical and therapeutic decision-making.",

author = "Cath{\'e}rine Dekeyser and Matthias Hautekeete and Melissa Cambron and \{Van Pesch\}, Vincent and Francesco Patti and Jens Kuhle and Samia Khoury and \{Lechner Scott\}, Jeanette and Oliver Gerlach and Alessandra Lugaresi and Davide Maimone and Andrea Surcinelli and Pierre Grammond and Tomas Kalincik and Mario Habek and Barbara Willekens and Richard Macdonell and Patrice Lalive and Tunde Csepany and Helmut Butzkueven and Cavit Boz and Valentina Tomassini and Matteo Foschi and S{\'a}nchez-Menoyo, \{Jos{\'e} Luis\} and Ayse Altintas and Saloua Mrabet and Gerardo Iuliano and Sa, \{Maria Jose\} and Raed Alroughani and Rana Karabudak and Eduardo Aguera-Morales and Orla Gray and \{de Gans\}, Koen and \{van der Walt\}, Anneke and McCombe, \{Pamela A.\} and Norma Deri and Justin Garber and Abdullah Al-Asmi and Olga Skibina and Pierre Duquette and Elisabetta Cartechini and Daniele Spitaleri and Riadh Gouider and Aysun Soysal and \{Van Hijfte\}, Liesbeth and Mark Slee and Amato, \{Maria Pia\} and Katherine Buzzard and Guy Laureys",

year = "2024",

doi = "10.1136/jnnp-2023-333307",

language = "English",

volume = "95",

pages = "1021--1031",

journal = "Journal of Neurology, Neurosurgery and Psychiatry",

issn = "0022-3050",

publisher = "BMJ Publishing Group",

number = "11",

}

Dekeyser, C, Hautekeete, M, Cambron, M, Van Pesch, V, Patti, F, Kuhle, J, Khoury, S, Lechner Scott, J, Gerlach, O, Lugaresi, A, Maimone, D, Surcinelli, A, Grammond, P, Kalincik, T, Habek, M, Willekens, B, Macdonell, R, Lalive, P, Csepany, T, Butzkueven, H, Boz, C, Tomassini, V, Foschi, M, Sánchez-Menoyo, JL, Altintas, A, Mrabet, S, Iuliano, G, Sa, MJ, Alroughani, R, Karabudak, R, Aguera-Morales, E, Gray, O, de Gans, K, van der Walt, A, McCombe, PA, Deri, N, Garber, J, Al-Asmi, A, Skibina, O, Duquette, P, Cartechini, E, Spitaleri, D, Gouider, R, Soysal, A, Van Hijfte, L, Slee, M, Amato, MP, Buzzard, K & Laureys, G 2024, 'Routine CSF parameters as predictors of disease course in multiple sclerosis: An MSBase cohort study', Journal of Neurology, Neurosurgery and Psychiatry, hac. 95, no. 11, pp. 1021-1031. https://doi.org/10.1136/jnnp-2023-333307

TY - JOUR

T1 - Routine CSF parameters as predictors of disease course in multiple sclerosis

T2 - An MSBase cohort study

AU - Dekeyser, Cathérine

AU - Hautekeete, Matthias

AU - Cambron, Melissa

AU - Van Pesch, Vincent

AU - Patti, Francesco

AU - Kuhle, Jens

AU - Khoury, Samia

AU - Lechner Scott, Jeanette

AU - Gerlach, Oliver

AU - Lugaresi, Alessandra

AU - Maimone, Davide

AU - Surcinelli, Andrea

AU - Grammond, Pierre

AU - Kalincik, Tomas

AU - Habek, Mario

AU - Willekens, Barbara

AU - Macdonell, Richard

AU - Lalive, Patrice

AU - Csepany, Tunde

AU - Butzkueven, Helmut

AU - Boz, Cavit

AU - Tomassini, Valentina

AU - Foschi, Matteo

AU - Sánchez-Menoyo, José Luis

AU - Altintas, Ayse

AU - Mrabet, Saloua

AU - Iuliano, Gerardo

AU - Sa, Maria Jose

AU - Alroughani, Raed

AU - Karabudak, Rana

AU - Aguera-Morales, Eduardo

AU - Gray, Orla

AU - de Gans, Koen

AU - van der Walt, Anneke

AU - McCombe, Pamela A.

AU - Deri, Norma

AU - Garber, Justin

AU - Al-Asmi, Abdullah

AU - Skibina, Olga

AU - Duquette, Pierre

AU - Cartechini, Elisabetta

AU - Spitaleri, Daniele

AU - Gouider, Riadh

AU - Soysal, Aysun

AU - Van Hijfte, Liesbeth

AU - Slee, Mark

AU - Amato, Maria Pia

AU - Buzzard, Katherine

AU - Laureys, Guy

PY - 2024

Y1 - 2024

N2 - Background It remains unclear whether routine cerebrospinal fluid (CSF) parameters can serve as predictors of multiple sclerosis (MS) disease course. Methods This large-scale cohort study included persons with MS with CSF data documented in the MSBase registry. CSF parameters to predict time to reach confirmed Expanded Disability Status Scale (EDSS) scores 4, 6 and 7 and annualised relapse rate in the first 2 years after diagnosis (ARR2) were assessed using (cox) regression analysis. Results In total, 11 245 participants were included of which 93.7% (n=10 533) were persons with relapsing-remitting MS (RRMS). In RRMS, the presence of CSF oligoclonal bands (OCBs) was associated with shorter time to disability milestones EDSS 4 (adjusted HR=1.272 (95% CI, 1.089 to 1.485), p=0.002), EDSS 6 (HR=1.314 (95% CI, 1.062 to 1.626), p=0.012) and EDSS 7 (HR=1.686 (95% CI, 1.111 to 2.558), p=0.014). On the other hand, the presence of CSF pleocytosis (≥5 cells/ μL) increased time to moderate disability (EDSS 4) in RRMS (HR=0.774 (95% CI, 0.632 to 0.948), p=0.013). None of the CSF variables were associated with time to disability milestones in persons with primary progressive MS (PPMS). The presence of CSF pleocytosis increased ARR2 in RRMS (adjusted R2=0.036, p=0.015). Conclusions In RRMS, the presence of CSF OCBs predicts shorter time to disability milestones, whereas CSF pleocytosis could be protective. This could however not be found in PPMS. CSF pleocytosis is associated with short-term inflammatory disease activity in RRMS. CSF analysis provides prognostic information which could aid in clinical and therapeutic decision-making.

AB - Background It remains unclear whether routine cerebrospinal fluid (CSF) parameters can serve as predictors of multiple sclerosis (MS) disease course. Methods This large-scale cohort study included persons with MS with CSF data documented in the MSBase registry. CSF parameters to predict time to reach confirmed Expanded Disability Status Scale (EDSS) scores 4, 6 and 7 and annualised relapse rate in the first 2 years after diagnosis (ARR2) were assessed using (cox) regression analysis. Results In total, 11 245 participants were included of which 93.7% (n=10 533) were persons with relapsing-remitting MS (RRMS). In RRMS, the presence of CSF oligoclonal bands (OCBs) was associated with shorter time to disability milestones EDSS 4 (adjusted HR=1.272 (95% CI, 1.089 to 1.485), p=0.002), EDSS 6 (HR=1.314 (95% CI, 1.062 to 1.626), p=0.012) and EDSS 7 (HR=1.686 (95% CI, 1.111 to 2.558), p=0.014). On the other hand, the presence of CSF pleocytosis (≥5 cells/ μL) increased time to moderate disability (EDSS 4) in RRMS (HR=0.774 (95% CI, 0.632 to 0.948), p=0.013). None of the CSF variables were associated with time to disability milestones in persons with primary progressive MS (PPMS). The presence of CSF pleocytosis increased ARR2 in RRMS (adjusted R2=0.036, p=0.015). Conclusions In RRMS, the presence of CSF OCBs predicts shorter time to disability milestones, whereas CSF pleocytosis could be protective. This could however not be found in PPMS. CSF pleocytosis is associated with short-term inflammatory disease activity in RRMS. CSF analysis provides prognostic information which could aid in clinical and therapeutic decision-making.

UR - https://www.scopus.com/pages/publications/85190160325

U2 - 10.1136/jnnp-2023-333307

DO - 10.1136/jnnp-2023-333307

M3 - Article

C2 - 38569872

AN - SCOPUS:85190160325

SN - 0022-3050

VL - 95

SP - 1021

EP - 1031

JO - Journal of Neurology, Neurosurgery and Psychiatry

JF - Journal of Neurology, Neurosurgery and Psychiatry

IS - 11

ER -

Routine CSF parameters as predictors of disease course in multiple sclerosis: An MSBase cohort study

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