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Interrogation of the Multiple Sclerosis Prodrome Using High-Dimensional Health Data

Authors
  • Zhao, Yinshan
  • Wijnands, José M.A.
  • Högg, Tanja
  • Kingwell, Elaine
  • Zhu, Feng
  • Evans, Charity
  • Fisk, John D.
  • Marrie, Ruth Ann
  • Tremlett, Helen
Type
Published Article
Journal
Neuroepidemiology
Publisher
S. Karger AG
Publication Date
Jan 15, 2020
Volume
54
Issue
2
Pages
140–147
Identifiers
DOI: 10.1159/000505331
PMID: 31940638
Source
Karger
Keywords
License
Green
External links

Abstract

Background: There is growing evidence of a prodromal period in multiple sclerosis (MS). A better understanding of the prodrome may facilitate prompt recognition and treatment of MS as well as narrowing of the etiologically relevant ­period when searching for MS risk factors. Objectives: To explore and further delineate the MS prodrome, we used statistical learning techniques to examine associations of physician-generated diagnostic codes and prescription medication classes in the 5 years before the first demyelinating-related claim for MS cases and matched population controls. Methods: In this matched cohort study, we accessed data from linked health administrative hospital, physician, and prescription databases from British Columbia, Canada, between 1996 and 2013. We focused on 7 medication classes previously identified as associated with the MS prodrome: urinary anti-spasmodics, glucocorticoids, muscle relaxants, anti-epileptics, dopa-derivatives, benzodiazepine, and antivertigo preparations. Diagnostic codes associated with the use of each medication class were first identified using LASSO logistic regression analyses in two-thirds of the cohort and then validated using multivariate logistic regressions in the remaining cohort. Results: Our analyses included 4,862 MS cases and 22,649 controls. Although the identified diagnostic codes showed fair to good predictive performance in 6 medication classes (C-index = 0.712–0.858), these codes failed to fully explain the higher usage of these medications by the MS cases. Compared to controls of the same age, sex, and diagnostic codes, MS cases had higher odds of filling a prescription for antivertigo preparations (adjusted OR [aOR] 2.48; 95% CI 1.92–3.19), anti-epileptics (aOR 2.34; 1.90–2.90), glucocorticoids (aOR 1.76; 1.52–2.03), urinary anti-spasmodics (aOR 1.72; 1.20–2.46), and muscle relaxants (aOR 1.33; 1.13–1.56). Conclusions: We observed markedly higher use of specific medications in MS cases in the 5 years before the first demyelinating claim. The overrepresentation of specific medications in MS cases, which was not fully explained by the physician diagnoses, may represent a signature of the MS prodrome.

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