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      Medication persistence over 2 years of follow-up in a cohort of early rheumatoid arthritis patients: associated factors and relationship with disease activity and with disability

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          Abstract

          Introduction

          Aggressive treatment with disease-modifying antirheumatic drugs (DMARDs) plays a major role in improving early rheumatoid arthritis (RA) patient outcomes. Persistence and adherence with medication occurs variably (20% to 70%). The objectives of the study were to determine medication persistence (MP) in early RA patients over 13 consecutive visits each 2 months apart, to investigate the relationship between MP and disease activity, disability and structural damage, and to identify baseline prognosticators.

          Methods

          Charts from 75 patients of an early RA cohort were reviewed. At each visit, a rheumatologist interviewed patients regarding therapy, scored disease activity with the 28-joint disease activity score (DAS28) and disability with the health assessment questionnaire (HAQ), and recorded comorbidities and treatment. A complete medical history was obtained at baseline. MP was defined as the duration of time from initiation to discontinuation of at least one DMARD and/or corticosteroids for at least 1 week and was reported as a dichotomous variable at consecutive evaluations. Structural damage was defined by detection of new erosions on radiography. Descriptive statistics, Student's t test, the chi-squared test, and logistic regression analyses were used.

          Results

          The proportion of MP patients decreased from 98% at 2 months to 34% at 2 years. MP patients (n = 32) had similar DAS28 to non-MP patients (n = 53) at initial visits, lower DAS28 and greater DAS28 improvements at follow-ups ( P ≤ 0.05 at visits 4, 6, 7 and 9) and reached sustained remission (≥ 3 consecutive visits with DAS28 < 2.6) more frequently (82.8% versus 46.5%, P = 0.003) and earlier (7.7 ± 4.6 versus 13.6 ± 5.7 months, P = 0.001) than non-MP patients. MP patients had similar baseline HAQ scores, but lower HAQ scores at follow-up ( P ≤ 0.05 at visits 3, 5, 6, 7, 9, 10 and 13). More non-MP patients developed erosive disease than MP patients (26.8% versus 17.9%, P = 0.56). Older age at baseline was associated with therapy discontinuation (odds ratio = 1.1, 95% confidence interval = 1.007 to 1.103, P = 0.02).

          Conclusions

          Discontinuation of DMARDs was frequent and progressive in an early RA cohort. Patients with persistence on therapy were younger, had lower disease activity and disability during follow-up, and reached sustained remission more frequently and earlier than patients without it. MP should intentionally be evaluated during follow-up of early RA patients, as it seems to play a major role in outcome.

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          Most cited references38

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          Therapeutic effect of the combination of etanercept and methotrexate compared with each treatment alone in patients with rheumatoid arthritis: double-blind randomised controlled trial.

          Etanercept and methotrexate are effective in the treatment of rheumatoid arthritis but no data exist on concurrent initiation or use of the combination compared with either drug alone. We aimed to assess combination treatment with etanercept and methotrexate versus the monotherapies in patients with rheumatoid arthritis. In a double-blind, randomised, clinical efficacy, safety, and radiographic study, 686 patients with active rheumatoid arthritis were randomly allocated to treatment with etanercept 25 mg (subcutaneously twice a week), oral methotrexate (up to 20 mg every week), or the combination. Clinical response was assessed by criteria of the American College of Rheumatology (ACR). The primary efficacy endpoint was the numeric index of the ACR response (ACR-N) area under the curve (AUC) over the first 24 weeks. The primary radiographic endpoint was change from baseline to week 52 in total joint damage and was assessed with the modified Sharp score. Analysis was by intention to treat. Four patients did not receive any drug; thus 682 were studied. ACR-N AUC at 24 weeks was greater for the combination group compared with etanercept alone and methotrexate alone (18.3%-years [95% CI 17.1-19.6] vs 14.7%-years [13.5-16.0], p<0.0001, and 12.2%-years [11.0-13.4], p<0.0001; respectively). The mean difference in ACR-N AUC between combination and methotrexate alone was 6.1 (95% CI 4.5-7.8, p<0.0001) and between etanercept and methotrexate was 2.5 (0.8-4.2, p=0.0034). The combination was more efficacious than methotrexate or etanercept alone in retardation of joint damage (mean total Sharp score -0.54 [95% CI -1.00 to -0.07] vs 2.80 [1.08 to 4.51], p<0.0001, and 0.52 [-0.10 to 1.15], p=0.0006; respectively). The mean difference in total Sharp score between combination and methotrexate alone was -3.34 (95% CI -4.86 to -1.81, p<0.0001) and between etanercept and methotrexate was -27 (-3.81 to -0.74, p=0.0469). The number of patients reporting infections or adverse events was similar in all groups. The combination of etanercept and methotrexate was significantly better in reduction of disease activity, improvement of functional disability, and retardation of radiographic progression compared with methotrexate or etanercept alone. These findings bring us closer to achievement of remission and repair of structural damage in rheumatoid arthritis.
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            Analysis of serial measurements in medical research.

            In medical research data are often collected serially on subjects. The statistical analysis of such data is often inadequate in two ways: it may fail to settle clinically relevant questions and it may be statistically invalid. A commonly used method which compares groups at a series of time points, possibly with t tests, is flawed on both counts. There may, however, be a remedy, which takes the form of a two stage method that uses summary measures. In the first stage a suitable summary of the response in an individual, such as a rate of change or an area under a curve, is identified and calculated for each subject. In the second stage these summary measures are analysed by simple statistical techniques as though they were raw data. The method is statistically valid and likely to be more relevant to the study questions. If this method is borne in mind when the experiment is being planned it should promote studies with enough subjects and sufficient observations at critical times to enable useful conclusions to be drawn. Use of summary measures to analyse serial measurements, though not new, is potentially a useful and simple tool in medical research.
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              A checklist for medication compliance and persistence studies using retrospective databases.

              The increasing number of retrospective database studies related to medication compliance and persistence (C&P), and the inherent variability within each, has created a need for improvement in the quality and consistency of medication C&P research. This article stems from the International Society of Pharmacoeconomics and Outcomes Research (ISPOR) efforts to develop a checklist of items that should be either included, or at least considered, when a retrospective database analysis of medication compliance or persistence is undertaken. This consensus document outlines a systematic approach to designing or reviewing retrospective database studies of medication C&P. Included in this article are discussions on data sources, measures of C&P, results reporting, and even conflict of interests. If followed, this checklist should improve the consistency and quality of C&P analyses, which in turn will help providers and payers understand the impact of C&P on health outcomes.
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                Author and article information

                Journal
                Arthritis Res Ther
                Arthritis Research & Therapy
                BioMed Central
                1478-6354
                1478-6362
                2009
                19 February 2009
                : 11
                : 1
                : R26
                Affiliations
                [1 ]Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15-Colonia Sección XVI-Tlalpan, México City, 14000, México
                [2 ]Clinic Epidemiology Unit, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15-Colonia Sección XVI-Tlalpan, México City, 14000, México
                Article
                ar2620
                10.1186/ar2620
                2688260
                19228421
                0991c269-62b4-4b47-8023-c303795c7188
                Copyright © 2009 Pascual-Ramos et al.; licensee BioMed Central Ltd.

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 1 August 2008
                : 19 September 2008
                : 19 November 2008
                : 19 February 2009
                Categories
                Research Article

                Orthopedics
                Orthopedics

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