Related Experiment Video
Updated: Sep 1, 2026

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
Published on: June 30, 2014
Safety and clinical effectiveness of peginterferon beta-1a for relapsing multiple sclerosis in a real-world setting:
Marco Salvetti1, Sibyl Wray2, Gereon Nelles3
1Department of Neurosciences, Mental Health and Sensory Organs, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy; IRCCS Istituto Neurologico Mediterraneo NEUROMED, Pozzilli, Molise, Italy.
Background:
Interferon beta-1a remains an important treatment option for multiple sclerosis, particularly when safety or tolerability concerns may outweigh the benefits of higher-efficacy disease-modifying therapies. The five-year phase 4 Plegridy Observational Program (POP) study (NCT02230969) collected data on real-world safety and effectiveness of Plegridy® (peginterferon beta-1a) treatment in patients with relapsing multiple sclerosis.
Objective:
To explore the real-world safety and effectiveness of peginterferon beta-1a in patients with relapsing multiple sclerosis, including factors influencing treatment discontinuation.
Methods:
Data were collected prospectively from patients ≥ 18 years old with relapsing multiple sclerosis for overall population analysis and for subpopulations including newly/previously diagnosed patients, age, and experience with peginterferon beta-1a. Outcome measures included annualized relapse rates, adverse events, and predictors of time to treatment discontinuation.
Results:
Mean (SD) treatment duration in the overall population (N = 1172) was 896.0 (733.15) days. Incidence of adverse events was higher in new than experienced users (79.4% vs. 57.0%). New users were more likely than experienced users to discontinue (hazard ratio = 1.60; P < 0.0001). The adjusted annualized relapse rate was 0.09, and at the end of 5 years, 77.1% of patients were relapse-free.
Conclusions:
Peginterferon beta-1a is an effective therapy for managing relapsing multiple sclerosis. The identification of predictors of discontinuation can help inform strategies to enhance treatment persistence.
More Related Videos
10:46A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
08:40Positron Emission Tomography Imaging for In Vivo Measuring of Myelin Content in the Lysolecithin Rat Model of Multiple Sclerosis
Published on: February 28, 2021