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June 4, 2026European Journal of Neurology0 citationsOpen Access

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

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PAPeter AlpingKarolinska InstitutetASAnton Öberg SysojevKarolinska InstitutetFPFredrik PiehlKarolinska University Hospital

Key Points

  • This study aims to determine whether comorbidities can predict progression independent of relapse activity (PIRA) in relapsing-remitting multiple sclerosis patients receiving B-cell depleting therapy.
  • Conducted a population-based cohort study with RRMS patients initiating rituximab between August 2010 and April 2019.
  • Defined PIRA as confirmed disability worsening measured by the Expanded Disability Status Scale and analyzed comorbidities via adjusted logistic regression.
  • Evaluated predictive performance using machine learning algorithms: elastic net, random forest, XGBoost, and neural networks.
  • Among 2837 patients, 563 (20%) showed PIRA within 6 years, with no pre-specified comorbidities being significant predictors.
  • Only neuromuscular bladder dysfunction was statistically significant after corrections among all diagnosis codes.
  • Predictive models showed modest performance with AUC values between 0.563 and 0.652, with comorbidities not enhancing prediction capability.

Abstract

BACKGROUND: Progression independent of relapse activity (PIRA) has been shown to account for a majority of the disability accumulation in relapsing-remitting multiple sclerosis (RRMS) patients treated with disease-modifying therapies. While comorbidities are common in MS and linked to disability progression, their role in PIRA remains unclear. We investigated whether comorbidities at treatment initiation could predict PIRA in RRMS patients receiving B-cell depleting therapy. METHODS: This population-based cohort study included RRMS patients initiating rituximab between August 2010 and April 2019, without relapses during six-year follow-up. PIRA was defined as confirmed disability worsening (Expanded Disability Status Scale). We performed hypothesis-driven analysis of pre-specified comorbidities and data-driven analysis of all ICD-10 codes from secondary care. Comorbidity-PIRA associations were assessed using adjusted logistic regression. Predictive performance for elastic net, random forest, XGBoost, and neural networks was evaluated as the area under the curve (AUC) and Brier score through nested cross-validation. RESULTS: Among 2837 patients, 563 (20%) experienced PIRA within 6 years. The most prevalent comorbidities were depression/anxiety (36%), hypertension (15%), and headache (8%). No pre-specified comorbidities were statistically significant predictors of PIRA. Among all diagnosis codes, only neuromuscular bladder dysfunction reached significance after multiple comparison correction. Predictive models demonstrated modest performance (AUC 0.563-0.652) and adding comorbidities did not improve prediction. CONCLUSIONS: In this rituximab-treated RRMS cohort, comorbidities at therapy start were not associated with higher PIRA risk when accounting for MS-associated disability. The association with bladder dysfunction likely reflects spinal tract engagement rather than an independent comorbidity effect.

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Cite This Study

Alping et al. (2026) studied this question.

synapsesocial.com/papers/6a2117bfd499ed480b1709d1https://doi.org/10.1111/ene.70656
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