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Updated: Nov 4, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Characterizing relapsing remitting multiple sclerosis patients burdened with hypertension, hyperlipidemia, and asthma
Alena Sorensen1, Devon S Conway2, Farren B S Briggs1
1Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Background:
Hypertension, hyperlipidemia, and asthma are common in multiple sclerosis (MS) patients and adversely impact physical and mental health independent of sociodemographic and clinical attributes. Characterizing MS patients with these comorbidities is necessary for informing comorbidity screening and managed care in vulnerable patient subgroups; however, there is sparse data currently available.
Methods:
We conducted cross-sectional analyses of 2,012 relapsing remitting (RR) MS patients. Separate multivariable logistic regression models were conducted for the presence of hypertension, hyperlipidemia, and asthma. Independent variables included age, sex, race, MS duration, body mass index classification, insurance payer, smoking status, median income by residence ZIP code, disease modifying therapies, and the other comorbidities.
Results:
Hypertension was more common in RRMS patients who were older, obese/severely obese, had hyperlipidemia, were asthmatics, living in neighborhoods with the lowest income, and who were Black Americans. RRMS patients with hyperlipidemia were more likely to be male, older, overweight/obese/severely obese, hypertensive, asthmatics, and White American. Asthmatic RRMS patients were more likely to be female, obese, hypertensive, and living in neighborhood of medium/low income, and less likely to be on interferons or glatiramer acetate.
Conclusion:
We identified factors independently associated with common comorbidity burden in RRMS patients, which will inform risk-stratification efforts aimed at mitigating the adverse impact of these conditions in MS patients. Our results are consistent with what is known about the determinants of hypertension, hyperlipidemia, and asthma in the non-MS patient population, and therefore disparities that exist in screening and management in the general U.S. population may likely exist in U.S. MS patients. It is also possible that there may be unique differences in specific MS patient subgroups, which warrants further investigation and detailed characterization.
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