Ontology highlight
ABSTRACT: Background
People with multiple sclerosis (pwMS) have an increased risk of infections; risk factors include underlying disease, physical impairment and use of some disease-modifying treatments.Objective
To quantify changes in population-level infection rates among pwMS and compare these to the general population and people with rheumatoid arthritis (pwRA), and identify patient characteristics predictive of infections after MS diagnosis.Methods
We conducted a multi-database study using data on 23,226 people with MS diagnosis from the UK Clinical Practice Research Datalink Aurum and GOLD (January 2000-December 2020). PwMS were matched to MS-free controls and pwRA. We calculated infection rates, and estimated incidence rate ratios (IRR) and 95% confidence intervals (CI) of predictors for infections ⩽ 5 years after MS diagnosis using Poisson regression.Results
Among pwMS, overall infection rates remained stable - 1.51-fold (1.49-1.52) that in MS-free controls and 0.87-fold (0.86-0.88) that in pwRA - although urinary tract infection rate per 1000 person-years increased from 98.7 (96.1-101) (2000-2010) to 136 (134-138) (2011-2020). Recent infection before MS diagnosis was most predictive of infections (1 infection: IRR 1.92 (1.86-1.97); ⩾2 infections: IRR 3.00 (2.89-3.10)).Conclusion
The population-level elevated risk of infection among pwMS has remained stable despite the introduction of disease-modifying treatments.
SUBMITTER: Leung MW
PROVIDER: S-EPMC9442628 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature
Leung Melissa Wy MW Bazelier Marloes T MT Souverein Patrick C PC Uitdehaag Bernard Mj BM Klungel Olaf H OH Leufkens Hubert Gm HG Pajouheshnia Romin R
Multiple sclerosis (Houndmills, Basingstoke, England) 20220514 11
<h4>Background</h4>People with multiple sclerosis (pwMS) have an increased risk of infections; risk factors include underlying disease, physical impairment and use of some disease-modifying treatments.<h4>Objective</h4>To quantify changes in population-level infection rates among pwMS and compare these to the general population and people with rheumatoid arthritis (pwRA), and identify patient characteristics predictive of infections after MS diagnosis.<h4>Methods</h4>We conducted a multi-databas ...[more]