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1.
Ann Rheum Dis ; 82(4): 460-467, 2023 04.
Article in English | MEDLINE | ID: mdl-36543526

ABSTRACT

OBJECTIVE: To investigate the pharmacokinetics of methotrexate polyglutamate (MTX-PG) accumulation in red blood cells (RBCs) and peripheral blood mononuclear cells (PBMCs) in patients with early rheumatoid arthritis (RA) after oral and subcutaneous MTX treatment. METHODS: In a clinical prospective cohort study (Methotrexate Monitoring study), newly diagnosed patients with RA were randomised for oral or subcutaneous MTX. At 1, 2, 3 and 6 months after therapy initiation, blood was collected and RBCs and PBMCs were isolated. MTX-PG1-6 concentrations were determined by mass spectrometry methods using stable isotopes of MTX-PG1-6 as internal standards. RESULTS: 43 patients (mean age: 58.5 years, 77% female) were included. PBMCs and RBCs revealed disparate pharmacokinetic profiles in both absolute MTX-PG accumulation levels and distribution profiles. Intracellular MTX-PG accumulation in PBMCs was significantly (p<0.001) 10-fold to 20-fold higher than RBCs at all time points, regardless of the administration route. MTX-PG distribution in PBMCs was composed of mostly MTX-PG1 (PG1>PG2>PG3). Remarkably, the distribution profile in PBMCs remained constant over 6 months. RBCs accumulated mainly MTX-PG1 and lower levels of MTX-PG2-5 at t=1 month. After 3 months, MTX-PG3 was the main PG-moiety in RBCs, a profile retained after 6 months of MTX therapy. Subcutaneous MTX administration results in higher RBC drug levels than after oral administration, especially shortly after treatment initiation. CONCLUSIONS: This is the first study reporting disparate MTX-PG accumulation profiles in RBCs versus PBMCs in newly diagnosed patients with RA during 6 months oral or subcutaneous MTX administration. This analysis can contribute to improved MTX therapeutic drug monitoring for patients with RA. TRIAL REGISTRATION NUMBER: NTR 7149.


Subject(s)
Antirheumatic Agents , Arthritis, Rheumatoid , Methotrexate , Female , Humans , Male , Middle Aged , Administration, Oral , Antirheumatic Agents/pharmacology , Arthritis, Rheumatoid/drug therapy , Leukocytes , Leukocytes, Mononuclear , Methotrexate/pharmacology , Prospective Studies
2.
RMD Open ; 8(2)2022 11.
Article in English | MEDLINE | ID: mdl-36410776

ABSTRACT

OBJECTIVE: To examine the effect on adherence to disease modifying anti-rheumatic drugs (DMARDs) in participants with rheumatoid arthritis (RA) of a serious game that targeted implicit attitudes toward medication. METHODS: A multicentre randomised controlled trial (RCT) was performed with adults with RA that used DMARDs and possessed a smartphone/tablet. Control and intervention groups received care as usual. The intervention group played the serious game at will during 3 months. Game play data and online questionnaires Compliance Questionnaire on Rheumatology (CQR), Beliefs about Medicine Questionnaire (BMQ), Health Assessment Questionnaire (HAQ) and Rheumatoid Arthritis Disease Activity Index (RADAI) were collected. Primary outcome was DMARD implementation adherence operationalised as the difference in proportion of non-adherent participants (<80% taking adherence) between intervention and control group after 3 months using a Chi-squared test. Two sample t-tests and Wilcoxon rank-sum test were performed to test for differences on secondary outcomes. RESULTS: Of the 110 intervention participants that started the study, 87 participants (79%) installed the game and had a median playtime of 9.7 hours at 3 months. Overall, 186 participants completed the study. Adherence in intervention group (63%) and control group (54%) did not differ significantly (p=0.13) at 3 months. Neither were there differences oberved in CQR continuous score, beliefs about medication (BMQ) or clinical outcomes (HAQ and RADAI). CONCLUSION: A serious game aimed at reinterpreting attitudes toward medication failed to show an effect on adherence to DMARDs or clinical outcomes in patients with RA. The game was played frequently indicating that it can be an effective channel for reaching patients. TRIAL REGISTRATION NUMBER: NL7217.


Subject(s)
Antirheumatic Agents , Arthritis, Rheumatoid , Telemedicine , Video Games , Adult , Humans , Antirheumatic Agents/therapeutic use , Arthritis, Rheumatoid/drug therapy , Arthritis, Rheumatoid/epidemiology , Arthritis, Rheumatoid/chemically induced , Health Knowledge, Attitudes, Practice , Medication Adherence
3.
RMD Open ; 8(1)2022 02.
Article in English | MEDLINE | ID: mdl-35121638

ABSTRACT

OBJECTIVE: Medication non-adherence in rheumatoid arthritis (RA) is associated with disease flares, increased disability and increased costs. This study assessed the effectiveness of electronic monitoring feedback (EMF) on medication adherence in patients with RA starting with or switching to a new biological disease-modifying antirheumatic drug (bDMARD). METHODS: In this randomised controlled trial, bDMARD starters were assigned to the intervention or control group and followed for 1 year. The intervention group received a needle container with a Medication Event Monitoring System (MEMS) cap registering patient's adherence to injections. Scores were calculated every 3 months with MEMS and motivational interviewing feedback was given. The control group received usual care. Effectiveness of EMF on adherence was measured with the medication possession ratio (MPR). RESULTS: 104 consecutive intervention patients were included and 102 controls. MPR was 0.95 (SD: 0.10) and 0.90 (0.16) after 12 months (B: 0.036, 95% CI: 0.001 to 0.007, p=0.045). bDMARD-naive patients receiving EMF achieved low disease activity (LDA) sooner compared with the control group, adjusted for baseline DAS (HR: 1.68, 95% CI: 1.00 to 2.81, p=0.050). Side effects and DAS28 were similar. CONCLUSION: EMF increased adherence for patients with RA starting with or switching to a bDMARD. Especially bDMARD-naive patients achieved LDA sooner compared with the control group, which holds promise for the future.


Subject(s)
Antirheumatic Agents , Arthritis, Rheumatoid , Antirheumatic Agents/adverse effects , Arthritis, Rheumatoid/drug therapy , Drug Monitoring , Electronics , Feedback , Humans
4.
Patient Prefer Adherence ; 13: 1199-1211, 2019.
Article in English | MEDLINE | ID: mdl-31413548

ABSTRACT

BACKGROUND: Although patients have different treatment preferences, these individual preferences could often be grouped in subgroups with shared preferences. Knowledge of these subgroups as well as factors associated with subgroup membership supports health care professionals in the understanding of what matters to patients in clinical decision-making. OBJECTIVES: To identify subgroups of patients with rheumatoid arthritis (RA) based on their shared preferences toward disease-modifying antirheumatic drugs (DMARDs), and to identify factors associated with subgroup membership. METHODS: A discrete choice experiment to determine DMARD preferences of adult patients with RA was designed based on a literature review, expert recommendations, and focus groups. In this multicenter study, patients were asked to state their preferred choice between two different hypothetical treatment options, described by seven DMARD characteristics with three levels within each characteristic. Latent class analyses and multinomial logistic regressions were used to identify subgroups and the characteristics (patient characteristics, disease-related variables, and beliefs about medicines) associated with subgroup membership. RESULTS: Among 325 participating patients with RA, three subgroups were identified: an administration-driven subgroup (45.6%), a benefit-driven subgroup (29.7%), and a balanced subgroup (24.7%). Patients who were currently using biologic DMARDs were significantly more likely to belong to the balanced subgroup than the administration-driven subgroup (relative risk ratio (RRR): 0.50, 95% CI: 0.28-0.89). Highly educated patients were significantly more likely to belong to the benefit-driven subgroup than the balanced subgroup (RRR: 11.4, 95% CI: 0.97-133.6). Patients' medication-related concerns did not contribute significantly to subgroup membership, whereas a near-significant association was found between patients' beliefs about medication necessity and their membership of the benefit-driven subgroup (RRR: 1.12, 95% CI: 1.00-1.23). CONCLUSION: Three subgroups with shared preferences were identified. Only biologic DMARD use and educational level were associated with subgroup membership. Integrating patient's medication preferences in pharmacotherapy decisions may improve the quality of decisions and possibly medication adherence.

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