Characterization of annual disease progression of multiple sclerosis patients: a population-based study
J Freilich, A Manouchehrinia… - Multiple Sclerosis …, 2018 - journals.sagepub.com
Multiple Sclerosis Journal, 2018•journals.sagepub.com
Background: Previous research characterizing factors influencing multiple sclerosis (MS)
disease progression has typically been based on time to disease milestones (Kaplan–Meier,
Cox hazard regression, etc.). A limitation of these methods is the handling of the often large
groups of patients not reaching the milestone. Objective: To characterize clinical factors
influencing MS disease progression as annual transitions from each Expanded Disability
Status Scale (EDSS). Method: The annual progression of 11,964 patients from the Swedish …
disease progression has typically been based on time to disease milestones (Kaplan–Meier,
Cox hazard regression, etc.). A limitation of these methods is the handling of the often large
groups of patients not reaching the milestone. Objective: To characterize clinical factors
influencing MS disease progression as annual transitions from each Expanded Disability
Status Scale (EDSS). Method: The annual progression of 11,964 patients from the Swedish …
Background
Previous research characterizing factors influencing multiple sclerosis (MS) disease progression has typically been based on time to disease milestones (Kaplan–Meier, Cox hazard regression, etc.). A limitation of these methods is the handling of the often large groups of patients not reaching the milestone.
Objective
To characterize clinical factors influencing MS disease progression as annual transitions from each Expanded Disability Status Scale (EDSS).
Method
The annual progression of 11,964 patients from the Swedish MS Registry was analysed with 10 multinomial logistic regressions, that is, one for transition from each full EDSS with explanatory variables age, sex, age at onset, time in current EDSS, highest prior EDSS, MS course and treatment.
Results
All factors (except sex) investigated had statistically significant impacts on transitions from at least one EDSS. However, significance and size of the effect are dependent on the EDSS state of the patient. Greater age, longer time in a state, highest prior EDSS, having progressive MS and treatment had significant impacts, whereas age at onset had minor impact.
Conclusion
Our study confirms that established factors associated with MS disease worsening in time to disease milestones also have impacts on annual progression. This approach adds granularity to what EDSS these factors have an influence.
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