Predicting discontinuation of biologic therapy caused by adverse events in psoriasis patients: —A Danish nationwide cohort study

Mia-Louise Nielsen*, Troels C Petersen, Julia-Tatjana Maul, Jashin J Wu, Trine Bertelsen, Lone Skov, Simon Francis Thomsen, Jacob Pontoppidan Thyssen, Alexander Egeberg

*Corresponding author for this work

Abstract

Background
Some patients treated with biologic therapy for psoriasis experience adverse events causing treatment discontinuation.

Objectives
To identify predictors of adverse events resulting in discontinuation of biologics for psoriasis.

Methods
This cohort study involved data from the Danish nationwide registry DERMBIO. A classification algorithm based on gradient-boosted decision trees combined with a mixed-effects model was applied to data on various drugs to predict treatment discontinuation caused by adverse events and to identify important predictors.

Results
This study comprised 4876 treatment series, including 3078 (63.1%) that were discontinued. With adverse events causing 19.6% of these, it was the second most frequent reason for discontinuation following ineffectiveness. The proportion of treatments discontinued due to adverse events was 20.0% [16.7%, 23.9%; 95% confidence interval (CI)] among patients that had discontinued their previous treatment series due to adverse events, and 11.6% [10.3%, 13.1%; 95% CI] among treatment series where the previous treatment was discontinued due to other reasons (p 
Conclusions
The proportion of treatment series discontinued due to adverse events among patients who had discontinued their previous treatment due to adverse events was 72.4% larger compared to those who discontinued their previous treatment for other reasons.
Original languageEnglish
JournalJEADV Clinical Practice
Volume2
Issue number4
Pages (from-to)792-801
Number of pages10
ISSN2768-6566
DOIs
Publication statusPublished - Dec 2023

Keywords

  • adverse events
  • biologic treatment
  • machine learning
  • prediction models
  • psoriasis

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