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Association of oral disease-modifying agents and their adherence trajectories with annual relapses in multiple sclerosis.
Earla, Jagadeswara Rao; Li, Jieni; Hutton, George J; Bentley, John P; Aparasu, Rajender R.
Afiliação
  • Earla JR; Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, TX, USA.
  • Li J; Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, TX, USA.
  • Hutton GJ; Baylor College of Medicine, Houston, TX, USA.
  • Bentley JP; Department of Pharmacy Administration, University of Mississippi, Oxford, MS, USA.
  • Aparasu RR; Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, TX, USA. Electronic address: rraparasu@uh.edu.
Mult Scler Relat Disord ; 85: 105539, 2024 May.
Article em En | MEDLINE | ID: mdl-38574721
ABSTRACT

BACKGROUND:

Real-world effectiveness can vary across oral disease-modifying agents (DMAs) and their adherence trajectories in patients with multiple sclerosis (MS). However, previous studies have not considered longitudinal adherence patterns while evaluating oral DMAs.

OBJECTIVES:

This study aimed to evaluate the association of oral DMAs and their adherence trajectories with annualized relapse rate (ARR) in patients with MS.

METHODS:

This retrospective observational cohort study based on the 2015-2019 MarketScan Commercial Claims and Encounters Database involved continuous enrolled adults (18-64 years) with ≥1 MS diagnosis (ICD-9/10-CM340/G35) and ≥ 1 oral DMA prescription. Patients were grouped into incident fingolimod (FIN), teriflunomide (TER), and dimethyl fumarate (DMF) users based on the index DMA with a one-year washout period. Annual DMA adherence trajectories based on the monthly Proportion of Days Covered (PDC) one year after treatment initiation were identified using Group-Based Trajectory Modeling (GBTM). The validated claims-based ARR was evaluated during the one-year follow-up period using generalized boosted model-based inverse probability treatment weights with negative binomial regression model.

RESULTS:

The study cohort consisted of 994 MS patients who initiated with FIN (23.0%), TER (22.3%), and DMF (54.7%) during the study period. GBTM grouped eligible patients into three adherence trajectories complete adherers (59.2%), slow decliners (23.8%), and rapid decliners (17.0%). The proportion of complete adherers varied across the oral DMAs (FIN 67.1%, TER 55.4%, and DMF 57.4%). The negative binomial regression modeling revealed that, while there was no difference in ARR across the three DMAs, rapid decliners (adjusted incidence rate ratio[aIRR] 1.6, 95% CI 1.1-2.4) had a higher rate of relapses compared to completely adherent patients. The type of oral DMAs did not moderate the relationship between ARR and the adherence trajectory groups.

CONCLUSIONS:

Adherence trajectories classified as rapid decliners were associated with a higher ARR than complete adherers after adjusting for their type of oral DMAs. Longitudinal medication adherence patterns are critical in reducing relapse rates in MS.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recidiva / Toluidinas / Crotonatos / Adesão à Medicação / Cloridrato de Fingolimode / Fumarato de Dimetilo / Hidroxibutiratos / Nitrilas Limite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Mult Scler Relat Disord / Multiple sclerosis and related disorders / Multiple sclerosis and related disorders (Online) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recidiva / Toluidinas / Crotonatos / Adesão à Medicação / Cloridrato de Fingolimode / Fumarato de Dimetilo / Hidroxibutiratos / Nitrilas Limite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Mult Scler Relat Disord / Multiple sclerosis and related disorders / Multiple sclerosis and related disorders (Online) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos