The feasibility of existing JADAS10 cut-off values in clinical practice: a study of data from The Finnish Rheumatology Quality Register.

BACKGROUND: The ten-joint juvenile arthritis disease activity score (JADAS10) is designed to measure the level of disease activity in non-systemic juvenile idiopathic arthritis by providing a single numeric score. The clinical JADAS10 (cJADAS10) is a modification of the JADAS10 that excludes erythrocyte sedimentation rate (ESR). Three different sets of JADAS10/cJADAS10 cut-offs for disease activity states have been published, i.e., the Backström, Consolaro, and Trincianti cut-offs. The objective of this study was to investigate the performance of existing JADAS10 cut-offs in real-life settings using patient data from The Finnish Rheumatology Quality Register (FinRheuma). METHODS: Data were collected from the FinRheuma register. The proportion of patients with an active joint count (AJC) above zero when classified as being in clinically inactive disease (CID) or low disease activity (LDA) groups according to existing JADAS10/cJADAS10 cut-off levels were analyzed. RESULTS: A significantly larger proportion of the patients classified as being in CID had an AJC > 0 when using the JADAS10/cJADAS10 cut-offs by Trincianti et al. compared to those for the other cut-offs. In the LDA group, a significantly larger proportion of the polyarticular patients (35%/29%) had an AJC of two when Trincianti JADAS10/cJADAS10 cut-offs were used compared with when Backström (11%/10%) and Consolaro (7%/3%) JADAS10/cJADAS10 cut-offs were used. CONCLUSIONS: We found the cut-offs proposed by Consolaro et al. to be the most feasible, since these cut-off levels for CID do not result in the misclassification of active disease as remission, and the proportion of patients with AJC > 1 in the LDA group is lowest using these cut-offs.

The validity of rheumatoid arthritis diagnoses in Finnish biobanks.

OBJECTIVE: The aim of this study was to determine the validity of rheumatoid arthritis (RA) diagnoses in patients participating in Finnish biobanks. METHOD: We reviewed the electronic medical records of 500 Finnish biobank participants: 125 patients with at least one visit with a diagnosis of seropositive RA, 125 patients with at least one visit with a diagnosis of seronegative RA, and 250 age- and gender-matched controls. The patients were chosen from five different biobank hospitals in Finland. A rheumatologist reviewed the medical records to assess whether each patients' diagnosis was correct. The diagnosis was compared with the diagnostic codes in the Finnish Care Register for Health Care (CRHC) and special reimbursement data of the Social Insurance Institution of Finland. RESULTS: The positive predictive value (PPV) of CRHC diagnosis of RA (for seropositive and seronegative RA combined) was 0.82. For patients with a special reimbursement for anti-rheumatic medications for RA, the PPV was 0.89. The PPV was higher in patients with more than one visit. For one, two, five, and 10 visits, the PPV was 0.82, 0.85, 0.89, and 0.90, respectively, and for patients who also had the special reimbursement, the PPV was 0.89, 0.91, 0.93, and 0.94 for one, two, five, and 10 visits, respectively. In patients positive for anti-citrullinated protein antibodies, the PPV was 0.98. CONCLUSION: These results demonstrate that the validity of RA diagnoses in Finnish biobanks was good and can be further improved by including data on special reimbursement for medication, number of visits, and serological data.

Cluster analysis identifies unmet healthcare needs among patients with rheumatoid arthritis.

OBJECTIVE: To identify the patterns of healthcare resource utilization and unmet needs of persistent disease activity, pain, and physical disability in rheumatoid arthritis (RA) by cluster analysis. METHOD: Patients attending the Jyväskylä Central Hospital rheumatology unit, Finland, were, from 2007, prospectively enrolled in a clinical database. We identified all RA patients in 2010-2014 and combined their individual-level data with well-recorded administrative data on all public healthcare contacts in fiscal year 2014. We ran agglomerative hierarchical clustering (Ward's method), with 28-joint Disease Activity Score with three variables, Health Assessment Questionnaire index, pain (visual analogue scale 0-100), and total annual health service-related direct costs (€) as clustering variables. RESULTS: Complete-case analysis of 939 patients derived four clusters. Cluster C1 (remission and low costs, 550 patients) comprised relatively young patients with low costs, low disease activity, and minimal disability. C2 (chronic pain, disability, and fatigue, 269 patients) included those with the highest pain and fatigue levels, and disability was fairly common. C3 (inflammation, 97 patients) had rather high mean costs and the highest average disease activity, but lower average levels of pain and less disability than C2, highlighting the impact of effective treatment. C4 (comorbidities and high costs, 23 patients) was characterized by exceptionally high costs incurred by comorbidities. CONCLUSIONS: The majority of RA patients had favourable outcomes and low costs. However, a large group of patients was distinguished by chronic pain, disability, and fatigue not unambiguously linked to disease activity. The highest healthcare costs were linked to high disease activity or comorbidities.

Patients with rheumatic diseases share similar patterns of healthcare resource utilization.

Objectives: Healthcare service needs have changed with the use of effective treatment strategies. Using data from the modern era, we aimed to explore and compare health service-related direct costs in juvenile idiopathic arthritis (JIA), psoriatic arthritis (PsA), rheumatoid arthritis (RA), and axial spondyloarthritis (AxSpA). Methods: We linked a longitudinal, population-based clinical data set from Finland's largest non-university hospital's rheumatology clinic with an administrative database on health service-related direct costs in 2014. We compared all-cause costs and costs of comorbidities between adult patients with JIA, PsA, RA, and AxSpA (including ankylosing spondylitis). We also characterized patients with high healthcare resource utilization. Results: Cost distributions were similar between rheumatic diseases (p = 0.88). In adulthood, patients with JIA displayed a similar economic burden to much older patients with other inflammatory rheumatic diseases. A minority were high utilizers: among 119 patients with JIA, 15% utilized as much as the remaining 85%. For PsA (213 patients), RA (1086), and AxSpA (277), the high-utilization proportion was 10%. Both low and high utilizers showed rather low disease activity, but in high utilizers, the patient-reported outcomes were slightly worse, with the most distinct differences in pain levels. Of health service-related direct costs, index rheumatic diseases comprised only one-third (43.6% in JIA) and the majority were comorbidity costs. Conclusions: Patients with JIA, PsA, RA, and AxSpA share similar patterns of healthcare resource utilization, with substantial comorbidity costs and a minority being high utilizers. Innovations in meeting these patients' needs are warranted.

Healthcare costs and outcomes in adult patients with juvenile idiopathic arthritis: a population-based study.

OBJECTIVES: Evidence of the economic burden and long-term outcomes of juvenile idiopathic arthritis (JIA) remains scarce. Our aim was to explore healthcare costs and long-term outcomes in adult patients with JIA. METHOD: We identified all adult patients (≥ 18 years) with JIA who visited Jyväskylä Central Hospital rheumatology unit between May 2007 and March 2016. We considered individual medians of time-dependent clinical variables. These data were linked to administrative data from the area from the fiscal year 2014, which include information on all public healthcare contacts. Healthcare utilization is presented as direct costs in euros (EUR). Factors affecting direct costs were assessed with a generalized linear model. RESULTS: In 218 patients, median 28-joint Disease Activity Score with three variables (DAS28-3) was < 2.6 in 88.6% in those aged < 30 and in 72.9% in those aged ≥ 30 years, and median Health Assessment Questionnaire (HAQ) score was < 0.5 in 85.7% and 45.4%, respectively. In the utilization data (four municipalities, 137 patients), the total annual health services-related direct costs were 432 257 EUR (mean = 3155 EUR/patient/year). Thirty-six patients (26.3%) used biological disease-modifying anti-rheumatic drugs (bDMARDs) in 2014 for a total of 355 months, and the annual cost of bDMARDs was estimated at 355 000 EUR. Those with active disease had mean costs 2.4-fold higher than those with low or no disease activity. A one-point increase in median raw HAQ incurred an average 228 EUR increase in annual costs (p = 0.03). CONCLUSION: Most adult patients with JIA seem to manage well with their arthritis, bearing in mind that there still is room for improvement in long-term outcomes.