Diagnosis and referral of rheumatoid arthritis by primary care physician: results of a pilot study on the city of Pisa, Italy

The global prevalence of rheumatoid arthritis: a meta-analysis based on a systematic review

The objective is to determine the global population prevalence of rheumatoid arthritis (RA) based on population-based studies and assess factors that influence RA prevalence estimates. Four electronic databases were searched (ProQuest Central, MEDLINE, Web of Science, and EMBASE) for peer-reviewed English publications that report prevalence estimates of RA from 1980 and 2019. We included case-control studies, cross-sectional studies, and prospective or retrospective cohort studies in our search strategy. A random-effect meta-analysis model was used to produce the pooled prevalence estimates. The potential between-study heterogeneity was identified using sensitivity analysis, sub-group and meta-regression analyses. A total of 67 studies were included in the meta-analysis, containing 742,246 RA patients and 211,592,925 healthy controls in the study period. The global RA prevalence estimate was 0.46% (95% confidence interval [CI] 0.39-0.54; I² = 99.9%) with a 95% prediction interval (0.06-1.27). The RA point-prevalence was 0.45% (95% CI 0.38-0.53%) between 1986 and 2014, while the pooled period-prevalence was 0.46% (95% CI 0.36% and 0.57%) from 1955 to 2015. The highest RA pooled prevalence (0.69%; 95% CI 0.47-0.95) was derived from linked data source studies. Based on meta-regression, the factors that explain the studies' heterogeneity of RA prevalence, including geographical location, the risk bias assessment of studies and sample size. The global prevalence of RA between 1980 and 2019 was 460 per 100,000 population, with variations due to geographical location and study methodology. Linked data are the preferred method to estimate RA population prevalence as they provide the best case ascertainment.

The Prevalence of Rheumatoid Arthritis: A Systematic Review of Population-based Studies

Objective

To estimate the prevalence of rheumatoid arthritis (RA) from international population-based studies and investigate the influence of prevalence definition, data sources, classification criteria, and geographical area on RA prevalence.

Methods

A search of ProQuest, MEDLINE, Web of Science, and EMBASE was undertaken to identify population-based studies investigating RA prevalence between 1980 and 2019. Studies were reviewed using the Joanna Briggs Institute approach for the systematic review and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

Results

Sixty studies met the inclusion criteria. There was a wide range of point prevalence reported (0.00–2.70%) with a mean of 0.56% (SD 0.51) between 1986 and 2014, and a mean period prevalence of 0.51% (SD 0.35) between 1955 and 2015. RA point and period prevalence was higher in urban settings (0.69% vs 0.48%) than in rural settings (0.54% vs 0.25%). An RA diagnosis validated by rheumatologists yielded the highest period prevalence of RA and was observed in linked databases (0.80%, SD 0.1).

Conclusion

The literature reports a wide range of point and period prevalence based on population and method of data collection, but average point and period prevalence of RA were 51 in 10,000 and 56 in 10,000, respectively. Higher urban vs rural prevalence may be biased due to poor case findings in areas with less healthcare or differences in risk environment. The population database studies were more consistent than sampling studies, and linked databases in different continents appeared to provide a consistent estimate of RA period prevalence, confirming the high value of rheumatologist diagnosis as classification criteria.

Rare diseases under different levels of economic analysis: current activities, challenges and perspectives

Rare diseases imply clinical and economic burden as well as a significant challenge for health systems. One relevant objective of the activities planned within the European Reference Network on Rare and Complex Connective Tissue and Musculoskeletal Diseases (ERN ReCONNET) is to address the economic dimensions of rare diseases to identify, develop and suggest strategies to improve research and patients' access to orphan drugs (ODs) and highly specialised health technologies. This paper presents a preliminary review of the existing policies on rare diseases in the countries of the Network members. It also introduces and discusses the theme of how to perform health economic evaluations of rare diseases and of existing or new treatments for rare diseases. To obtain a preliminary overview aiming at defining the state of the art of rare diseases policies and initiatives in ERN ReCONNET countries, we collected and analysed the rare diseases national plans of all the eight countries of the ERN ReCONNET participants. The preliminary overview that has been performed showed that in all the ERN ReCONNET countries are in place national plans for rare diseases; however, heterogeneity exists in the reimbursement of ODs, direct provision by the healthcare system, involvement of patients' associations in decision making and implementation of clinical practice guidelines.

Rare diseases under different levels of economic analysis: current activities, challenges and perspectives

Rare diseases imply clinical and economic burden as well as a significant challenge for health systems. One relevant objective of the activities planned within the European Reference Network on Rare and Complex Connective Tissue and Musculoskeletal Diseases (ERN ReCONNET) is to address the economic dimensions of rare diseases to identify, develop and suggest strategies to improve research and patients' access to orphan drugs (ODs) and highly specialised health technologies. This paper presents a preliminary review of the existing policies on rare diseases in the countries of the Network members. It also introduces and discusses the theme of how to perform health economic evaluations of rare diseases and of existing or new treatments for rare diseases. To obtain a preliminary overview aiming at defining the state of the art of rare diseases policies and initiatives in ERN ReCONNET countries, we collected and analysed the rare diseases national plans of all the eight countries of the ERN ReCONNET participants. The preliminary overview that has been performed showed that in all the ERN ReCONNET countries are in place national plans for rare diseases; however, heterogeneity exists in the reimbursement of ODs, direct provision by the healthcare system, involvement of patients' associations in decision making and implementation of clinical practice guidelines.

Economic Burden of Rheumatoid Arthritis in Italy: Possible Consequences on Anti-Citrullinated Protein Antibody-Positive Patients

BACKGROUND

Rheumatoid arthritis (RA) is an autoimmune disease with a substantial medical and economic burden. In Italy, it affects approximately 280,000 people, therefore representing the musculoskeletal disease with the highest economic impact in terms of costs for the National Health Service and the social security system.

OBJECTIVE

The aim of this study was to estimate the annual economic burden of RA in Italy and determine the potential cost reduction considering the most effective biologic treatment for early rapidly progressing RA (ERPRA) patients.

METHODS

The model developed considers both direct costs that are mainly due to the pharmacological treatments, and indirect costs, which also include the productivity lost because of the disease. A systematic literature review provided the epidemiological and economic data used to inform the model. A one-way probabilistic sensitivity analysis based on 5000 Monte Carlo simulations was performed. Furthermore, specific scenario analyses were developed for those patients presenting an ERPRA, with the aim of evaluating the effectiveness of different biologic treatments for this subgroup of patients and estimating potential cost reduction.

RESULTS

The total economic burden associated with RA was estimated to be €2.0 billion per year (95% confidence interval [CI] €1.8-2.3 billion). Forty-five percent of the expenditure was due to indirect costs (95% CI €0.8-1.0 billion); 45% depended on direct medical costs (95% CI €0.7-1.1 billion), and the residual 10% was determined by direct non-medical costs (95% CI €0.16-0.25 billion). In particular, the costs estimated for ERPRA patients totalled €76,171,181, of which approximately €18 million was associated with patients with a high level of anti-citrullinated protein antibodies (ACPA). The results of the analysis outline how it is possible to obtain a cost reduction for ERPRA patients of between €1 and €3 million by varying the number of patients with a high level of immunoglobulin G treated with the most effective biologic drug. In fact, the latter may determine higher efficacy outcomes, especially for poor prognostic ERPRA patients, ensuing higher levels of productivity.

CONCLUSIONS

This study presents a pioneering approach to estimate the direct and indirect costs of RA. The model developed is a useful tool for policy makers as it allows to understand the economic implications of RA treatment in Italy, identify the most effective allocation of resources, and select the most appropriate treatment for ERPRA patients.

Costs associated with rheumatoid arthritis in Italy: past, present, and future

This literature review examines available evidence on the current and past costs associated with rheumatoid arthritis (RA) in Italy, together with the future health-economic prospects for the disease. Studies have been conducted to date on the prevalence, or the associated costs, of RA in Italy. Although future changes in the incidence of RA are a matter of debate, the impact of RA on health care costs is expected to grow in coming decades in line with projected increases in life expectancy and in the proportion of elderly people in Italy. It has been estimated that the indirect (productivity loss and informal care) and intangible (deterioration in health-related quality of life) costs of the disease will contribute to an increase in national health service expenditure, which will correspond to 1% of the total health care costs of the nation in the near future. The introduction of biological agents for the treatment of rheumatic diseases has resulted in an increase in the direct costs of RA; however, economic analyses that exclude indirect costs will underestimate the full economic impact of RA. The effectiveness of innovative therapies in preventing disease progression and functional impairment may, over time, attenuate the cost impact of RA in terms of hospitalizations and work absenteeism. Further research is needed to develop estimates of the economic impact of different therapeutic approaches in patients with RA in Italy, in order to provide tools that can drive the choice of the most cost-effective therapeutic option while maintaining high-quality care.

Cost of arthritis: a systematic review of methodologies used for direct costs

A substantial amount of healthcare and costs are attributable to arthritis, which is a very common chronic disease. This paper presents the results of a systematic review of arthritis cost studies published from 2008 to 2013. MEDLINE, Embase, EconLit databases were searched, as well as governmental and nongovernmental organization websites. Seventy-one reports met the inclusion/exclusion criteria, and 24 studies were included in the review. Among these studies, common methods included the use of individual-level data, bottom-up costing approach, use of both an arthritis group and a control group to enable incremental cost computation of the disease, and use of regression methods such as generalized linear models and ordinary least squares regression to control for confounding variables. Estimates of the healthcare cost of arthritis varied considerably across the studies depending on the study methods, the form of arthritis and the population studied. In the USA, for example, the estimated healthcare cost of arthritis ranged from $1862 to $14,021 per person, per year. The reviewed study methods have strengths, weaknesses and potential improvements in relation to estimating the cost of disease, which are outlined in this paper. Caution must be exercised when these methods are applied to cost estimation and monitoring of the economic burden of arthritis.

Trial-based cost-effectiveness of abatacept for rheumatoid arthritis patients in Italy

INTRODUCTION

Rheumatoid arthritis (RA) is a chronic, inflammatory disorder leading to disability and reduced quality of life. Effective treatment is a significant economic burden on the Italian healthcare system. Economic models in RA are commonly based on indirect treatment comparisons.

METHODS

This study assessed the cost-effectiveness of abatacept relative to adalimumab for RA in Italy based on a head-to-head trial by means of a cost-consequence analysis.

RESULTS

Health benefits based on the most stringent efficacy criteria were in favor of abatacept compared to adalimumab. Rates for more costly adverse events were higher for adalimumab compared to abatacept, which was reflected in the lower costs for abatacept (-€237,246 or -€237per patient).

CONCLUSION

The health economic value of abatacept compared with adalimumab from the perspective of the Italian NHS depends on the choice of health outcome. Health gains with abatacept were generally based on more stringent criteria and lower total costs.

A validation study of a new classification algorithm to identify rheumatoid arthritis using administrative health databases: case-control and cohort diagnostic accuracy studies. Results from the RECord linkage On Rheumatic Diseases study of the Italian Society for Rheumatology

OBJECTIVES

To develop and validate a new algorithm to identify patients with rheumatoid arthritis (RA) and estimate disease prevalence using administrative health databases (AHDs) of the Italian Lombardy region.

DESIGN

Case-control and cohort diagnostic accuracy study.

METHODS

In a randomly selected sample of 827 patients drawn from a tertiary rheumatology centre (training set), clinically validated diagnoses were linked to administrative data including diagnostic codes and drug prescriptions. An algorithm in steps of decreasing specificity was developed and its accuracy assessed calculating sensitivity/specificity, positive predictive value (PPV)/negative predictive value, with corresponding CIs. The algorithm was applied to two validating sets: 106 patients from a secondary rheumatology centre and 6087 participants from the primary care. Alternative algorithms were developed to increase PPV at population level. Crude and adjusted prevalence estimates taking into account algorithm misclassification rates were obtained for the Lombardy region.

RESULTS

The algorithms included: RA certification by a rheumatologist, certification for other autoimmune diseases by specialists, RA code in the hospital discharge form, prescription of disease-modifying antirheumatic drugs and oral glucocorticoids. In the training set, a four-step algorithm identified clinically diagnosed RA cases with a sensitivity of 96.3 (95% CI 93.6 to 98.2) and a specificity of 90.3 (87.4 to 92.7). Both external validations showed highly consistent results. More specific algorithms achieved >80% PPV at the population level. The crude RA prevalence in Lombardy was 0.52%, and estimates adjusted for misclassification ranged from 0.31% (95% CI 0.14% to 0.42%) to 0.37% (0.25% to 0.47%).

CONCLUSIONS

AHDs are valuable tools for the identification of RA cases at the population level, and allow estimation of disease prevalence and to select retrospective cohorts.

The descriptive epidemiology of rheumatoid arthritis in Catalonia: a retrospective study using routinely collected data

Information on the epidemiology of rheumatoid arthritis (RA) in Southern Europe is scarce. We estimated the age- and gender-adjusted incidence and prevalence of RA in Catalonia using routinely collected primary care records. We identified incident (2009-2012) and prevalent (on 31 December 2012) cases of RA in the SIDIAP database using ICD-10 codes. SIDIAP contains anonymized data from computerized primary care records for about five million adults (>80 % of the population). We estimated age- (5-year groups) and gender-specific, and directly standardized incidence and prevalence of RA and confidence intervals (95% CIs) assuming a Poisson distribution. A total of 20,091 prevalent (among whom 5,796 incident) cases of RA were identified among 4,796,498 study participants observed for up to 4 years. Rates of RA increased with age in both genders, peaking at the age of 65-70 years. Age- and gender-standardized incidence and prevalence rates were 0.20/1,000 person-years (95% CI 0.19-0.20) and 4.17/1,000 (4.11-4.23) respectively. Rheumatoid factor was positive (≥10 IU/mL) in 1,833 (73.9 %) of 2,482 cases tested in primary care. The incidence and prevalence of RA in Catalonia are similar to those of other Southern European regions, and lower than those of northern areas. This data will inform health care planning and resource allocation.

Health technology assessment of belimumab: a new monoclonal antibody for the treatment of systemic lupus erythematosus

Objective. Systemic lupus erythematosus (SLE) is treated with anti-inflammatory and immunosuppressive drugs and off-label biologics. Belimumab is the first biologic approved after 50 years as an add-on therapy for active disease. This paper summarizes a health technology assessment performed in Italy. Methods. SLE epidemiology and burden were assessed using the best published international and national evidences and efficacy and safety of belimumab were synthesized using clinical data. A cost-effectiveness analysis was performed by a lifetime microsimulation model comparing belimumab to standard of care (SoC). Organizational and ethical implications were discussed. Results. Literature review showed that SLE affects 47 per 100,000 people for a total of 28,500 patients in Italy, 50% of whom are affected by active form of the disease despite SoC. These patients, if autoantibodies and anti-dsDNA positive with low complement, are eligible for belimumab. SLE determines work disability and a 2–5-fold increase in mortality. Belimumab with SoC may prevent 4,742 flares in three years being cost-effective with an incremental cost-effectiveness ratio of €32,859 per quality adjusted life year gained. From the organizational perspective, the development of clear and comprehensive clinical pathways is crucial. Conclusions. The assessment supports the use of belimumab into the SLE treatment paradigm in Italy.

Patterns of disease-modifying antirheumatic drug use in rheumatoid arthritis patients after 2002: a systematic review

OBJECTIVE

To report and synthesize patterns of disease-modifying antirheumatic drug (DMARD) use reported in observational studies of patients with established and early rheumatoid arthritis (RA) after publication of the American College of Rheumatology guidelines promoting universal DMARD use.

METHODS

We searched PubMed for full-length articles in English published between January 1, 2002 and October 1, 2012 that examined DMARD use. The data abstracted from articles included the patient characteristics, country of study, time period studied, patient source, and treating physician type. Study quality was assessed using a modified Newcastle-Ottawa Quality Assessment Scale.

RESULTS

We reviewed 1,287 abstracts; 98 full-length articles were selected for additional review and 27 studies describing 28 cohorts of patients were included. Twelve studies described data from cohorts of patients with established RA, and DMARD use in this group of studies ranged from 73-100%. Five studies described data from patients sourced through administrative data and demonstrated consistently lower DMARD use, ranging from 30-63%. Three studies conducted population-based surveys to define cases of RA where DMARD use ranged from 47-73%. Eight studies investigated patients with early RA. DMARD use among patients followed by rheumatologists ranged from 77-98%, whereas DMARD use reported for patients seen by a mix of physicians was significantly lower (39-63%).

CONCLUSION

DMARD use in studies from RA cohorts or registries (in which patients were followed by rheumatologists) ranged from 73-100%, compared with 30-73% in studies from administrative data or population-based surveys (in which patients were not necessarily receiving rheumatology subspecialty care).

Cost effectiveness analysis of disease-modifying antirheumatic drugs in rheumatoid arthritis. A systematic review literature

The cost effectiveness of treatments that have changed the “natural history” of a chronic progressive disease needs to be evaluated over the long term. Disease-modifying antirheumatic drugs (DMARDs) are the standard treatment of rheumatoid arthritis (RA) and should be started as early as possible. A number of studies have shown that they are effective in improving disease activity and function, and in joint damage. Our review was focused on revision and critical evaluation of the studies including the literature on cost effectiveness of DMARDs (cyclosporine A, sulphasalazine, leflunomide, and methotrexate). The European League Against Rheumatism (EULAR) recommendations showed that traditional DMARDs are cost effective at the time of disease onset. They are less expensive than biological DMARDs and can be useful in controlling disease activity in early RA.