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. 2022 Aug 5;13:946351. doi: 10.3389/fphar.2022.946351

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Copyright © 2022 Hecker, Frahm, Bachmann, Debus, Haker, Mashhadiakbar, Langhorst, Baldt, Streckenbach, Heidler and Zettl.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Factors associated with the occurrence of severe potential drug-drug interactions in patients with multiple sclerosis. A subset of 221 of the 627 patients had at least one severe pDDI according to at least one of the three databases used. Binary logistic regression analyses were performed to test for 12 variables whether they are associated with the risk of having a severe pDDI. This was done using each variable individually (univariable models) and the best predictive subset of variables (stepwise selection model). The ORs and 95% CIs from these models are shown as forest plots. p-values <0.05 are marked in bold. CI, confidence interval; EDSS, Expanded Disability Status Scale; OR, odds ratio; pDDI, potential drug-drug interaction; ref., reference.