[The first biologic for rheumatoid arthritis: factors influencing the therapeutic decision]

The first biological choice in patients with rheumatoid arthritis: data from the Moroccan register of biotherapies

Introduction

the aim of our study is to determine, from data of the Moroccan register of biotherapies, the factors influencing the choice of the first prescribed biological treatment.

Methods

cross-sectional multicenter study including rheumatoid arthritis patients who were initiated the first biological treatment either: Rituximab, an anti-TNF, or Tocilizumab. The determinants related to the patient and disease have been gathered. A univariate and then multivariate analysis to determine the factors associated with the choice of the first bDMARDs was realized.

Results

a total of 225 rheumatoid arthritis patients were included in the Moroccan registry. The mean age was 52 ± 11 years, with female predominance 88% (n = 197). The first prescribed biological treatment was Rituximab 74% (n = 166), the second one was Tocilizumab, 13.6% (n = 31) then comes the anti-TNF in 3^rd position with 12.4% (n = 28). The factors associated with the choice of Rituximab as the first line bDMARDs prescribed in univariate analysis were: the insurance type, the positivity of the rheumatoid factor. In multivariate analysis, only the insurance type that remains associated with the choice of Rituximab as the first biological drugs. The Tocilizumab was associated with shorter disease duration and was more prescribed as mono-therapy compared to non Tocilizumab group. TNFi was associated with the insurance type.

Conclusion

our study suggests that Rituximab and TNFi are associated with the type of insurance and Tocilizumab is the most prescribed biologic mono-therapy in RA patients. Further studies are needed to confirm these results.

[Outpatient care and disease burden of rheumatoid arthritis : Results of a linkage of claims data and a survey of insured persons]

BACKGROUND

Healthcare of patients with rheumatoid arthritis (RA) in Germany has mainly been evaluated in the past in RA cohorts from specialized arthritis centers. This study investigated rheumatological care on a population basis, using claims data from a nationwide statutory health insurance fund (BARMER GEK) in combination with patient-reported outcomes from a questionnaire survey of insured persons with RA.

METHODS

Data from insurants aged 18-79 years with M05 (seropositive RA) or M06 (other RA, ICD-10) diagnoses were analyzed concerning diagnostics, medication and prescribing physician. A 31-item questionnaire covering patient reported diagnosis, healthcare utilization and burden of illness was sent to a stratified random sample of 6193 insured persons. Data from the respondents regarding rheumatological care and disease status were evaluated.

RESULTS

In 2013 and 2014, a total of 96,921 adults with M05 or M06 diagnosis were insured. The questionnaire was answered by 51% of the sample and of these 81% confirmed the RA diagnosis. RA had been diagnosed by a rheumatologist in 59% of the cases, 70% reported moderate to severe pain and 46% had functional disability. Between at least 40% (claims data) and up to 68% (respondents) were in specialized rheumatological care. Treatment with disease-modifying antirheumatic drugs (DMARDs) was 61% (claims data) and 63% (respondents) in persons in rheumatological care but only 18% outside rheumatological care.

CONCLUSION

The results indicate that specialized rheumatological care is required to provide adequate treatment for patients with RA in Germany. Patients with higher age and patients with M06 diagnosis had less drug prescriptions and were less frequently treated by rheumatologists.

[Reality of care for musculoskeletal diseases at the population level : Results of the PROCLAIR collaborative project. German version]

BACKGROUND

The objective of the research consortium PROCLAIR was to gain population level knowledge on the treatment of patients with rheumatoid arthritis (RA), axial spondylarthritis (axSpA) and osteoarthritis (OA) in Germany.

AIMS

A main question of the consortium was whether it is possible to identify groups of people who were exposed to a particular risk of undersupply or oversupply of treatment. In addition, the study investigated the validity of claims data for these diseases as a basis for further studies.

PATIENTS AND METHODS

Cross-sectional surveys were carried out among insurees of the BARMER statutory health insurance fund whose claims data included RA, axSpA and OA diagnoses. The questionnaire data were linked with the claims data of the insured persons if they agreed.

RESULTS

In all three diseases risk groups for care deficits could be identified. Persons with RA who are not treated by a specialist have less access to drug treatment. Physical therapy is prescribed for all three diagnoses at a low level, even for people undergoing joint replacement surgery. A connection between depressive symptoms and disease activity or function in axSpA was shown. In addition to the results relevant to care, the PROCLAIR network has also made contributions to critically assess the quality of health insurance data.

DISCUSSION

The combination of billing data with survey data enables a comprehensive description of the treatment of musculoskeletal diseases. Particularly relevant factors are the specialization of the physician, sociodemographic parameters of the patients and the region of residence. In particular, access to treatment cannot be investigated in randomized clinical trials.

[ADAPTHERA-Statewide cross-sectoral care network for patients with early rheumatoid arthritis shows sustained remission in standard care]

BACKGROUND/OBJECTIVE

The majority of patients in Germany miss out on the necessity of early diagnosis and initiation of therapy for rheumatoid arthritis (RA) caused by considerable structural deficits in the health care system. The challenge is to reconcile the individual demand for the best possible therapy result with a sustainable expenditure of resources.

METHODS

The cross-sectoral regional care network ADAPTHERA aims to improve early RA diagnosis and treatment in Rhineland-Palatinate. The retrospective triage analyses of suspected early onset RA patients was performed by tracing the selection process of all available enquiries (n = 1045). For analysis of the clinical course of the disease, a subset comprising 143 patients with a minimum observation time of 12 months (5 consecutive visits) was available. Clinical and laboratory parameters were collected quarter yearly, self-administered questionnaires were filled out and the treatment was adapted if necessary.

RESULTS

A total of 454 patients were included. The mean waiting time was 23.9 (SD = 18) days. The mean observation period in the subcohort was 29.2 (SD = 12.7) months, with about 50% of the patients presenting within 3 months. Almost 75% of the patients were in remission after 2 years. A sustained remission could be described for 74.8% (6 months) and 53.5% (12 months), respectively. Especially patients with rapid remission induction benefited in terms of longer remissions (p = 0.03). A very early stage of the disease (VERA) was associated with a rarely necessary biologic therapy (p = 0.022).

DISCUSSION

The approach of a supply network is not a panacea, but it might improve healthcare for patients with early onset RA. In order to minimize resource utilization, a pinpoint referral and accurate triage of potential cases are crucial.

Effectiveness and safety of golimumab in patients with rheumatoid arthritis, psoriatic arthritis and ankylosing spondylitis under real-life clinical conditions: non-interventional GO-NICE study in Germany

OBJECTIVE

The Non Interventional Evaluation with Golumimab (GO-NICE) study aimed to document patient and treatment characteristics as well as clinical effectiveness and safety in adult patients newly treated with the tumour necrosis factor inhibitor golimumab (GLM).

DESIGN

Prospective non-interventional study with 24-month observation per patient.

SETTING

158 office-based and clinical-based physicians in Germany.

INTERVENTION

GLM administered in the 50 mg dose subcutaneously in monthly intervals under real-life conditions.

RESULTS

Of the 1613 included patients, 1458 patients were eligible for final analysis: 474 patients with rheumatoid arthritis (RA, 54.9±13.4 years, 72.8% women, 64.7% biologic-naïve), 501 with psoriatic arthritis (PsA, 50.5±12.1 years, 54.1% women, 56.5% biologic-naïve) and 483 with ankylosing spondylitis (AS, 43.6±12.3 years, 66.5% men, 61.0% biologic-naïve). 664 patients completed follow-up (2-year retention rate 45.5%). Disease Activity Score 28-joint count erythrocyte sedimentation rate (DAS28-ESR) decreased from 5.0 to 2.9 after 24 months (p<0.0001) in patients with RA, and Bath Ankylosing Spondylitis Disease Index score decreased from 5.1 to 2.4 (p<0.0001) in patients with AS. Response rate calculated in patients with PsA by modified Psoriatic Arthritis Response Criteria was 67.9% after 24 months. Most adverse events were of mild or moderate nature, and no new safety signals were detected. According to the physicians' clinical assessments, treatment with GLM was successful (no adverse drug reaction and a clear or moderate therapeutic effect in an individual patient) in 55.0%-56.6% of patients with RA, PsA and AS, respectively, at month 3, increasing from 74.5% to 76.1% at month 24.

CONCLUSIONS

GLM subcutaneously once monthly led to substantial improvements in clinical effectiveness in patients with various inflammatory rheumatic diseases who could be followed up in a real-life setting in Germany. The treatment was well tolerated, and the safety profile of GLM was consistent with that observed in the previous randomised controlled trials.

TRIAL REGISTRATION NUMBER

NCT01313858.

An Update on Statistical Boosting in Biomedicine

Statistical boosting algorithms have triggered a lot of research during the last decade. They combine a powerful machine learning approach with classical statistical modelling, offering various practical advantages like automated variable selection and implicit regularization of effect estimates. They are extremely flexible, as the underlying base-learners (regression functions defining the type of effect for the explanatory variables) can be combined with any kind of loss function (target function to be optimized, defining the type of regression setting). In this review article, we highlight the most recent methodological developments on statistical boosting regarding variable selection, functional regression, and advanced time-to-event modelling. Additionally, we provide a short overview on relevant applications of statistical boosting in biomedicine.