Comorbidities for Predicting Progression Independent of Relapse Activity in Multiple Sclerosis Treated With B-Cell

Peter Alping1, Anton Öberg Sysojev1, Fredrik Piehl2

  • 1Division of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.

Abstract

Insights

Comorbidities at treatment initiation did not predict progression independent of relapse activity (PIRA) in relapsing-remitting multiple sclerosis (RRMS) patients. Bladder dysfunction was linked to PIRA, likely due to spinal cord involvement.

Area of Science:

  • Neurology
  • Immunology
  • Clinical Research

Background:

  • Progression independent of relapse activity (PIRA) significantly contributes to disability in relapsing-remitting multiple sclerosis (RRMS) patients on disease-modifying therapies.
  • The influence of comorbidities on PIRA development in RRMS patients remains poorly understood.
  • This study examines the predictive role of comorbidities at treatment initiation for PIRA in RRMS patients receiving B-cell depleting therapy.

Purpose of the Study:

  • To determine if comorbidities present at the start of B-cell depleting therapy predict progression independent of relapse activity (PIRA) in relapsing-remitting multiple sclerosis (RRMS) patients.
  • To investigate the association between various comorbidities and PIRA development.
  • To assess the predictive performance of machine learning models incorporating comorbidities for PIRA.

Main Methods:

  • A population-based cohort study of RRMS patients initiating rituximab (2010-2019) with a six-year follow-up was conducted.
  • Progression independent of relapse activity (PIRA) was defined as confirmed disability worsening (EDSS).
  • Comorbidity data (pre-specified and all ICD-10 codes) were analyzed using logistic regression and machine learning models (elastic net, random forest, XGBoost, neural networks) with cross-validation.

Main Results:

  • Of 2837 RRMS patients, 20% experienced PIRA within six years. Most common comorbidities included depression/anxiety (36%), hypertension (15%), and headache (8%).
  • No pre-specified comorbidities significantly predicted PIRA. Neuromuscular bladder dysfunction was the only diagnosis code to reach statistical significance after multiple comparison correction.
  • Machine learning models showed modest predictive performance (AUC 0.563-0.652), and adding comorbidities did not enhance prediction accuracy.

Conclusions:

  • Comorbidities at rituximab initiation were not associated with an increased risk of PIRA in RRMS patients, independent of MS-related disability.
  • The observed association between bladder dysfunction and PIRA likely reflects spinal cord involvement rather than an independent comorbidity effect.
  • Current comorbidity assessments may not be sufficient to predict PIRA in RRMS patients treated with B-cell depleting therapies.

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