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Cardiovascular risk factors in secondary progressive multiple sclerosis: a cross-sectional analysis from the MS-STAT2 randomized controlled trial

Cardiovascular risk factors in secondary progressive multiple sclerosis: a cross-sectional analysis from the MS-STAT2 randomized controlled trial
Cardiovascular risk factors in secondary progressive multiple sclerosis: a cross-sectional analysis from the MS-STAT2 randomized controlled trial
Background and purpose: there is increasing evidence that cardiovascular risk (CVR) contributes to disability progression in multiple sclerosis (MS). CVR is particularly prevalent in secondary progressive MS (SPMS) and can be quantified through validated composite CVR scores. The aim was to examine the cross-sectional relationships between excess modifiable CVR, whole and regional brain atrophy on magnetic resonance imaging, and disability in patients with SPMS.

Methods: participants had SPMS, and data were collected at enrolment into the MS-STAT2 trial. Composite CVR scores were calculated using the QRISK3 software. Prematurely achieved CVR due to modifiable risk factors was expressed as QRISK3 premature CVR, derived through reference to the normative QRISK3 dataset and expressed in years. Associations were determined with multiple linear regressions.

Results: for the 218 participants, mean age was 54 years and median Expanded Disability Status Scale was 6.0. Each additional year of prematurely achieved CVR was associated with a 2.7 mL (beta coefficient; 95% confidence interval 0.8-4.7; p = 0.006) smaller normalized whole brain volume. The strongest relationship was seen for the cortical grey matter (beta coefficient 1.6 mL per year; 95% confidence interval 0.5-2.7; p = 0.003), and associations were also found with poorer verbal working memory performance. Body mass index demonstrated the strongest relationships with normalized brain volumes, whilst serum lipid ratios demonstrated strong relationships with verbal and visuospatial working memory performance.

Conclusions: prematurely achieved CVR is associated with lower normalized brain volumes in SPMS. Future longitudinal analyses of this clinical trial dataset will be important to determine whether CVR predicts future disease worsening.
1351-5101
Williams, Thomas
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John, Nevin
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Calvi, Alberto
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Bianchi, Alessia
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De Angelis, Floriana
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Doshi, Anisha
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Wright, Sarah
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Shatila, Madiha
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Yiannakas, Marios C.
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Chowdhury, Fatima
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Stutters, Jon
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Ricciardi, Antonio
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Prados, Ferran
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MacManus, David
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Braisher, Marie
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Blackstone, James
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Ciccarelli, Olga
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Gandini Wheeler-Kingshot, Claudia A.M.
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Barkhof, Frederik
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Chataway, Jeremy
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Galea, Ian
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et al.
UCL MS-STAT2 investigators
Williams, Thomas
4943f50e-c3f5-43cc-a0f3-71d6883e8f8f
John, Nevin
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Calvi, Alberto
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Bianchi, Alessia
ddd5fa9c-f1ac-4755-9fab-63133f22d12d
De Angelis, Floriana
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Doshi, Anisha
4dbe1038-5ad5-46c3-83a1-4e4126e984f7
Wright, Sarah
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Shatila, Madiha
a306a21f-56b9-4292-8516-331cafab8a4a
Yiannakas, Marios C.
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Chowdhury, Fatima
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Stutters, Jon
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Ricciardi, Antonio
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Prados, Ferran
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MacManus, David
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Braisher, Marie
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Blackstone, James
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Ciccarelli, Olga
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Gandini Wheeler-Kingshot, Claudia A.M.
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Barkhof, Frederik
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Chataway, Jeremy
7724d157-1f90-4cca-ba06-db0a4719e199
Galea, Ian
66209a2f-f7e6-4d63-afe4-e9299f156f0b

Williams, Thomas, John, Nevin and Calvi, Alberto , et al. and UCL MS-STAT2 investigators (2023) Cardiovascular risk factors in secondary progressive multiple sclerosis: a cross-sectional analysis from the MS-STAT2 randomized controlled trial. European Journal of Neurology, 30 (9). (doi:10.1111/ene.15924).

Record type: Article

Abstract

Background and purpose: there is increasing evidence that cardiovascular risk (CVR) contributes to disability progression in multiple sclerosis (MS). CVR is particularly prevalent in secondary progressive MS (SPMS) and can be quantified through validated composite CVR scores. The aim was to examine the cross-sectional relationships between excess modifiable CVR, whole and regional brain atrophy on magnetic resonance imaging, and disability in patients with SPMS.

Methods: participants had SPMS, and data were collected at enrolment into the MS-STAT2 trial. Composite CVR scores were calculated using the QRISK3 software. Prematurely achieved CVR due to modifiable risk factors was expressed as QRISK3 premature CVR, derived through reference to the normative QRISK3 dataset and expressed in years. Associations were determined with multiple linear regressions.

Results: for the 218 participants, mean age was 54 years and median Expanded Disability Status Scale was 6.0. Each additional year of prematurely achieved CVR was associated with a 2.7 mL (beta coefficient; 95% confidence interval 0.8-4.7; p = 0.006) smaller normalized whole brain volume. The strongest relationship was seen for the cortical grey matter (beta coefficient 1.6 mL per year; 95% confidence interval 0.5-2.7; p = 0.003), and associations were also found with poorer verbal working memory performance. Body mass index demonstrated the strongest relationships with normalized brain volumes, whilst serum lipid ratios demonstrated strong relationships with verbal and visuospatial working memory performance.

Conclusions: prematurely achieved CVR is associated with lower normalized brain volumes in SPMS. Future longitudinal analyses of this clinical trial dataset will be important to determine whether CVR predicts future disease worsening.

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Euro J of Neurology - 2023 - Williams - Cardiovascular risk factors in secondary progressive multiple sclerosis A - Version of Record
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Accepted/In Press date: 5 June 2023
e-pub ahead of print date: 15 June 2023
Published date: 23 June 2023

Identifiers

Local EPrints ID: 478637
URI: http://eprints.soton.ac.uk/id/eprint/478637
ISSN: 1351-5101
PURE UUID: 971a2ba9-73d0-4368-9471-83068d92c76f
ORCID for Ian Galea: ORCID iD orcid.org/0000-0002-1268-5102

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Date deposited: 06 Jul 2023 16:36
Last modified: 13 Apr 2024 01:38

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Contributors

Author: Thomas Williams
Author: Nevin John
Author: Alberto Calvi
Author: Alessia Bianchi
Author: Floriana De Angelis
Author: Anisha Doshi
Author: Sarah Wright
Author: Madiha Shatila
Author: Marios C. Yiannakas
Author: Fatima Chowdhury
Author: Jon Stutters
Author: Antonio Ricciardi
Author: Ferran Prados
Author: David MacManus
Author: Marie Braisher
Author: James Blackstone
Author: Olga Ciccarelli
Author: Claudia A.M. Gandini Wheeler-Kingshot
Author: Frederik Barkhof
Author: Jeremy Chataway
Author: Ian Galea ORCID iD
Corporate Author: et al.
Corporate Author: UCL MS-STAT2 investigators

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