Cardiovascular comorbidities are associated with cross-sectional and longitudinal measures of multiple sclerosis fatigue

BACKGROUND: Fatigue is common in multiple sclerosis and may be influenced by cardiovascular comorbidities. OBJECTIVE: To test whether cardiovascular comorbidity burden relates to fatigue at baseline and over time, and to assess dose response. METHODS: -scores. Cardiovascular comorbidity was defined as a composite (any vs none) and as a count of hypertension, diabetes, and dyslipidemia. Cross-sectional associations and longitudinal trajectories were modeled using multivariable regression. Extended models also included depression, anxiety, and sleep disturbance. RESULTS: Among 5507 participants, 49% had no cardiovascular comorbidity, 32% had one, 16% had two, and 3% had three. In minimally adjusted cross‑sectional models, any comorbidity was associated with higher fatigue (beta = 0.85; 95% CI, 0.18 to 1.53), with attenuation after adjustment for depression, anxiety, and sleep (beta = 0.20; 95% CI, -0.09 to 0.49). A graded dose response was evident across 0-3 conditions. In longitudinal analyses, effect sizes were larger and remained positive after adjustment (Any vs None: beta = 1.06 in minimal models; beta = 0.39 after adjustment), consistent with a greater comorbidity burden associated with higher fatigue over time. CONCLUSIONS: Cardiovascular comorbidity burden is associated with greater fatigue, with a dose response over time.

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Publication Details

Journal
Multiple Sclerosis Journal
Published
2026-04-01
DOI
https://doi.org/10.1177/13524585261438014
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Cardiovascular comorbidities are associated with cross-sectional and longitudinal measures of multiple sclerosis fatigue

Bardia Nourbakhsh, Ellen M Mowry, Kathryn C Fitzgerald, Mahsa Ghajarzadeh
Multiple Sclerosis Journal
Multiple Sclerosis Research Studies
article

Cardiovascular comorbidities are associated with cross-sectional and longitudinal measures of multiple sclerosis fatigue

Bardia Nourbakhsh, Ellen M Mowry, Kathryn C Fitzgerald, Mahsa Ghajarzadeh
article en

Abstract

BACKGROUND: Fatigue is common in multiple sclerosis and may be influenced by cardiovascular comorbidities. OBJECTIVE: To test whether cardiovascular comorbidity burden relates to fatigue at baseline and over time, and to assess dose response. METHODS: -scores. Cardiovascular comorbidity was defined as a composite (any vs none) and as a count of hypertension, diabetes, and dyslipidemia. Cross-sectional associations and longitudinal trajectories were modeled using multivariable regression. Extended models also included depression, anxiety, and sleep disturbance. RESULTS: Among 5507 participants, 49% had no cardiovascular comorbidity, 32% had one, 16% had two, and 3% had three. In minimally adjusted cross‑sectional models, any comorbidity was associated with higher fatigue (beta = 0.85; 95% CI, 0.18 to 1.53), with attenuation after adjustment for depression, anxiety, and sleep (beta = 0.20; 95% CI, -0.09 to 0.49). A graded dose response was evident across 0-3 conditions. In longitudinal analyses, effect sizes were larger and remained positive after adjustment (Any vs None: beta = 1.06 in minimal models; beta = 0.39 after adjustment), consistent with a greater comorbidity burden associated with higher fatigue over time. CONCLUSIONS: Cardiovascular comorbidity burden is associated with greater fatigue, with a dose response over time.

Multiple Sclerosis JournalVol. 32(5)
Johns Hopkins University (US), Johns Hopkins Medicine (US)
Biogen
Openalex Percentile: Top 30%
Multiple Sclerosis Research Studies
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