Real-world evidence in rheumatic diseases: relevance and lessons learnt

The new chronic pain MG30 category and diagnostic specificity in quality registries-problems and suggested solutions with special reference to Swedish Quality Registry for Pain rehabilitation (SQRP)

The Swedish Quality Registry for Pain rehabilitation (SQRP) is a well-established clinical registry for adult patients with complex chronic pain conditions. SQRP registers patient-reported outcome measures from a majority of specialist chronic pain units/departments in Sweden. Up to four International Classification of Diseases version 10 (ICD-10) diagnoses can be registered in SQRP. The aim of the paper is to describe how we envision the new chronic pain category MG30 in ICD-11 can be used in SQRP. We envision that the first diagnosis in SQRP shall always be a MG30 diagnosis, which will ensure broad implementation of ICD-11 in Swedish pain care. However, at first glance, there seems to be specificity problems with ICD-11 codes that might impair their useability in SQRP or other registries. But ICD-11 offers more than meets the eye. First, the entries at the level of the so-called foundational layer have unique resource identifiers (URI) that can be used to enhance specificity. Second, ICD-11 contains numerous extension codes that can be combined with the MG30 codes - for instance, concerning the anatomical location of pain. Third, to enrich the description of the clinical concept at hand, it is possible to create clusters of stem codes. These three options are briefly discussed. We conclude that the full potential of the MG30 category can be better exploited in registries such as SQRP if foundational codes, extension codes, and/or clustering of stem codes are used to enhance diagnostic specificity.

Urate-lowering agents do not have clinically relevant negative effects on sperm quality and reproductive hormones in men with gout: a prospective open-label cohort study

OBJECTIVE

The objective of this study was to analyze and compare the effects of different urate-lowering agents on testicular functions in men with gout in a clinical setting.

METHODS

In this prospective cohort study (Clinical Trial Registration Number: NCT04213534), a total of 49 male patients aged 18-45 years with gout were enrolled. They were divided into three groups and received treatment with either allopurinol, febuxostat or benzbromarone for a duration of 3 months. Semen parameters, reproductive hormones and biochemical assessments were evaluated at baseline, month 1, and month 3.

RESULTS

Overall, 40 individuals (81.6%) completed the follow-up visits. In allopurinol group, there were no significant differences in semen parameters from baseline to month 3. Most of sperm parameters in febuxostat group did not show notable changes, except for a decrease in sperm motility at month 3(33.6%, [22.9-54.3] vs 48.4%, [27.4-67.6], p = 0.033). However, the total motile sperm count did not differ significantly after febuxostat treatment. Surprisingly, administration of benzbromarone resulted in improved sperm concentration (37.19 M/mL, [29.6-69.92] vs 58.5 M/mL, [49.8-116.6], p = 0.001). There were no significant changes observed in sperm DNA integrity and reproductive hormones in the three groups from baseline to month 3. The incidence of adverse events did not differ significantly among the three groups as well.

CONCLUSION

This study is the first to demonstrate that urate-lowering agents, allopurinol and febuxostat, do not have clinically relevant negative effects on sperm quality and reproductive hormones in men with gout, and benzbromarone presents improving sperm concentration. Results provide important preliminary guidance for the development of reproductive health management guidelines for patients RCID with gout.

What does artificial intelligence mean in rheumatology?

Intelligence is the ability of humans to learn from experiences to ascribe conscious weights and unconscious biases to modulate their outputs from given inputs. Transferring this ability to computers is artificial intelligence (AI). The ability of computers to understand data in an intelligent manner is machine learning. When such learning is with images and videos, which involves deeper layers of artificial neural networks, it is described as deep learning. Large language models are the latest development in AI which incorporate self-learning into deep learning through transformers. AI in Rheumatology has immense potential to revolutionize healthcare and research. Machine learning could aid clinical diagnosis and decision-making, and deep learning could extend this to analyze images of radiology or positron emission tomography scans or histopathology images to aid a clinician's diagnosis. Analysis of routinely obtained patient data or continuously collected information from wearables could predict disease flares. Analysis of high-volume genomics, transcriptomics, proteomics, or metabolomics data from patients could help identify novel markers of disease prognosis. AI might identify newer therapeutic targets based on in-silico modelling of omics data. AI could help automate medical administrative work such as inputting information into electronic health records or transcribing clinic notes. AI could help automate patient education and counselling. Beyond the clinic, AI has the potential to aid medical education. The ever-expanding capabilities of AI models bring along with them considerable ethical challenges, particularly related to risks of misuse. Nevertheless, the widespread use of AI in Rheumatology is inevitable and a progress with great potential.

Outcomes of undifferentiated peripheral inflammatory arthritis in real-world practice. A longitudinal cohort study

OBJECTIVES

Undifferentiated peripheral inflammatory arthritis (UPIA) may have 3 different courses, including evolution to differentiated arthritis, remaining undifferentiated, and self-limited course. The purpose of this study was to provide a real-world evidence for predictors of outcomes in UPIA in a longitudinal cohort of patients.

METHODS

Patients enrolled in the CTDRC-UA cohort were screened for eligibility. Inclusion criteria were: (i) having synovitis in ≥ 1 joint, (ii) not meeting the criteria of any other rheumatic disease, (iii) having at least 2 visits per year, iv) included in the cohort during the period of 2004 to 2021, and (v) having active disease at cohort entry. Two hundred and three patients who met the inclusion criteria were followed up until January 2023.

RESULTS

Medication-free remissions occurred in 42 (20.7%) cases. In 24 (11.8%) cases, the disease met the criteria of other rheumatic diseases, of which rheumatoid arthritis (RA) was the most common. In addition, joint damage occurred in 33 (16.3%) cases. Predictors of medication-free remissions were absence of comorbidity, starting a sustained remission at ≤ 6 months, and having no flare. Factors associated with disease evolution to RA were anti-citrullinated peptide antibody (ACPA) positivity, non-adherence to therapy, not going into sustained remission and having flare. Delay in treatment for > 3 months and being ACPA positive were the predictors of joint damage.

CONCLUSION

Although the majority of UIPA cases treated with step-up combination therapy with DMARDs do not progress to RA, most require continued treatment and a few achieve medication-free remissions. Key Points • Undifferentiated peripheral inflammatory arthritis (UPIA) can progress to rheumatoid arthritis in 11% of cases; and lack of sustained remission, being anti-citrullinated peptide antibody positive, non-adherence to therapy, and having flare are its predictors. • Medication-free remissions occur in 21% of patients with UPIA; and absence of comorbidity, starting a sustained remission at ≤ 6 months, and having no flare are its predictors. • Initiating treatment in the window of opportunity may lead to a better joint outcome.

Disease control in patients with psoriatic arthritis in real clinical practice in Spain: MiDAS study

OBJECTIVE

MiDAS study assessed the percentage of psoriatic arthritis (PsA) patients treated in routine clinical practice who achieved control of disease activity according to Disease Activity in Psoriatic Arthritis (DAPSA) and Minimal Disease Activity (MDA).

METHODS

Observational, non-interventional, cross-sectional, multicenter study conducted under conditions of routine clinical practice in 36 centers with outpatient rheumatology clinics in Spanish public hospitals. Patients included were adults (≥18 years) with ≥6 months PsA diagnosis according to classification for PsA (CASPAR) criteria and undergoing treatment ≥3 months. The main variable evaluated was the percentage of patients under remission and low disease activity, assessed through DAPSA and MDA.

RESULTS

313 patients with PsA were included: 54.3% male; with mean age of 54.1±12.2 years and mean disease duration of 10.5±9.0 years. Mean C-reactive protein (CRP) serum levels were 4.9±7.3mg/L. At the study visit, 58.5% of patients were in monotherapy (17.6% biological and 40.9% non-biological) and 41.2% were receiving biological and non-biological therapy. 59.4% of patients showed low disease activity (DAPSA≤14) and 19.8% were on remission (DAPSA≤4). Moreover, 51.4% of the patients reached an MDA status (≥5 MDA).

CONCLUSIONS

Around 40% of PsA patients presented uncontrolled disease, highlighting the need to improve the management of these patients in clinical practice.

Prevalence and predictors of long-term remission in rheumatoid arthritis in real-world practice: a longitudinal study

OBJECTIVES

The aim of the present study was to provide real-world evidence for factors predicting long-term remission in a longitudinal study of rheumatoid arthritis (RA) patients.

METHODS

Long-term remission was defined by meeting American Rheumatism Association (ARA) criteria for remission and prednisolone dose ≤ 5 mg/d for at least 5 years. Patients in this cohort were treated by tight control strategy using step-up combination therapy with conventional synthetic DMARDs (csDMARDs), biologic DMARDs. The parameters associated with long-term remission were subjected to univariate analysis, and parameters with P-values of < 0.1 in univariate analysis were included in a multivariate regression analysis.

RESULTS

One thousand two hundred and eighty-six RA subjects were considered for eligibility, and finally, 499 patients were included in the study. Median duration of follow-up was 108 months. Long-term remission occurred in 157 (31.5%) patients. Median time to long-term remission was 8 (5, 41) months. Predictors of long-term remission were absence of flare during the course of disease, occurrence of sustained remission during 6 months after starting therapy, age at the disease onset > 60, being anti-citrullinated protein antibodies (ACPA) negative, and Disease Activity Score-28 (DAS28) at cohort entry ≤ 5.1.

CONCLUSION

In real-world practice, long-term remission occurs in 31.5% of patients treated with a tight control strategy. Absence of flare during the course of disease, occurrence of sustained remission during 6 months after starting therapy, age at the disease onset > 60, being ACPA negative, and DAS28 at baseline ≤ 5.1 are independent predictors of long-term remission. Key Points • In real-world practice, long-term remission occurs in 31.5% of patients treated with a tight control strategy. • Median time to long-term remission was 8 months. • Absence of flare during the course of disease, occurrence of sustained remission during 6 months after starting therapy, age at the disease onset >60, being ACPA negative, and DAS28 at baseline ≤ 5.1 are independent predictors of long-term remission.

Disease control in patients with ankylosing spondylitis in real clinical practice in Spain: Results of the MIDAS study

INTRODUCTION AND OBJECTIVES

Understanding the disease activity is fundamental to improve patient prognosis and patients' quality of life. MiDAS study described disease activity in ankylosing spondylitis (AS) Spanish patients and the proportion of them with controlled disease.

METHODS

Observational, cross-sectional, multicenter study carried out under conditions of routine clinical practice. Adult (≥18 years) patients with ≥6 months since AS diagnosis treated ≥3 months prior to inclusion. The primary endpoint was the percentage of patients with low disease activity assessed through BASDAI (primary endpoint) and ASDAS-CRP (secondary endpoint).

RESULTS

313 AS patients included: 75.7% male; 78.5% HLA-B*27 positive; mean (SD) baseline age of 50.4 (12.0) years; mean (SD) disease duration of 15.5 (11.6) years; 73.5% were treated with biological disease-modifying antirheumatic drugs (DMARDs), 22.4% with non-biological DMARDs and 53.7% with non-steroidal anti-inflammatory drugs, alone or in combination. Monotherapy with biologics and non-biologics was used by 29.7% and 26.8% of patients, respectively. According to BASDAI, 38.0% were in remission (BASDAI≤2) and 64.5% showed adequate disease control (BASDAI<4). According to ASDAS-CRP, 29.4% achieved remission (ASDAS-CRP<1.3) and 28.1% low disease activity (1.3≤ASDAS-CRP<2.1).

CONCLUSIONS

Almost two thirds of the AS patients recruited had low disease activity, with about one third of them being in remission (BASDAI≤2, ASDAS-CRP<1.3). These results highlight the existing room for improvement in treating AS patients in clinical practice.

Reproducibility and rigor in rheumatology research

The pillars of scientific progress in rheumatology are experimentation and observation, followed by the publication of reliable and credible results. These data must then be independently verified, validated, and replicated. Peer and journal-specific technical and statistical reviews are paramount to improving rigor and reproducibility. In addition, research integrity, ethics, and responsible conduct training can help to reduce research misconduct and improve scientific evidence. As the number of published articles in rheumatology grows, the field has become critical for determining reproducibility. Prospective, longitudinal, randomized controlled clinical trials are the gold standard for evaluating clinical intervention efficacy and safety in this space. However, their applicability to larger, more representative patient populations with rheumatological disorders worldwide could be limited due to time, technical, and cost constraints involved with large-scale clinical trials. Accordingly, analysis of real-world, patient-centered clinical data retrieved from established healthcare inventories, such as electronic health records, medical billing reports, and disease registries, are increasingly used to report patient outcomes. Unfortunately, it is unknown whether this clinical research paradigm in rheumatology could be deployed in medically underserved regions.

Real-world evidence to assess the effectiveness of platelet-rich plasma in the treatment of knee degenerative pathology: a prospective observational study

Objective:

The present work aims to analyse the effectiveness of platelet-rich plasma (PRP) in degenerative knee pathology based on real-world data and to evaluate possible factors influencing the response to treatment.

Methods:

In total, 531 cases were analysed collecting data on gender, age, body mass index, pathology location, severity, number of cycles and route of administration. Clinical outcome was evaluated at 6 and 15 months after treatment, using the Knee injury and Osteoarthritis Outcome Score (KOOS) and obtaining percentages of Minimal Clinically Important Improvement (MCII). Blood and PRP samples were randomly tested as a quality control measure to ensure the correct properties. Comparative statistical tests and multivariate regression were performed for the analysis of the variables.

Results:

The PRP applied had a platelet concentration factor of 1.67, with no leukocytes or erythrocytes. The percentage of patients with MCII at 6 and 15 months after PRP application was 59.32% and 70.62%, respectively. Patients with MCII were younger (p = 0.0246) and with lower body mass index (p = 0.0450). The treatment had a better response in mild/moderate cases than in severe cases (p = 0.0002). Intraosseous PRP application in severe cases improved the effect of intraarticular PRP (p = 0.0358). The application of a second cycle of PRP only improved the response in patients without MCII at 6 months (p = 0.0029), especially in mild/moderate cases (p = 0.0357).

Conclusion:

The applications of PRP in degenerative knee pathologies is an effective treatment, but this effectiveness nonetheless depends on several variables. Real-world data can complement that from clinical trials to provide valuable information.

Global Health Strategies in the Face of the COVID-19 Pandemic and Other Unprecedented Threats

Global health is evolving as a discipline aiming at exploring needs and offering equitable health services for all people. Over the past four decades, several global initiatives have been introduced to improve the accessibility of primary health care (PHC) and solve most health issues at this level. Historically, the 1978 Alma-Ata and 2018 Astana Declarations were perhaps the most important documents for a comprehensive approach to PHC services across the world. With the introduction of the United Nations Sustainable Development Goals in 2015, developments in all spheres of human life and multi-sectoral cooperation became the essential action targets that could contribute to improved health, well-being, and safety of all people. Other global initiatives such as the Riyadh Declaration on Digital Health and São Paulo Declaration on Planetary Health called to urgent action to employ advanced digital technologies, improve health data processing, and invest more in research management. All these initiatives are put to the test in the face of the coronavirus disease 2019 (COVID-19) pandemic and other unprecedented threats to humanity.

Long-term drug effectiveness and survival for reference rituximab in rheumatoid arthritis patients in an ordinary outpatient clinic

To explore the long-term drug effectiveness and survival of reference rituximab (ref-RTX)-treated rheumatoid arthritis (RA) patients in an ordinary outpatient clinic. Second, we explored baseline predictors of drug effectiveness and survival, and third, we clarified reasons for stopping treatment. RA patients treated with ref-RTX between 2006 and 2020 in Norway were examined and monitored using recommended measures for disease activity and patient-reported outcomes (PROs). Drug effectiveness was assessed with random intercept linear mixed models; drug survival was assessed with Kaplan-Meier survival analysis. Reasons for discontinuation were ascertained. Baseline predictors of drug effectiveness and survival were estimated. Among 246 RA patients, at baseline, 17.1% were biologic disease-modifying anti-rheumatic drugs (bDMARDs) naïve, and 51.6% were currently using conventional synthetic DMARDs (csDMARDs). During the five-year follow-up, all disease activity and PRO measures improved significantly (p < 0.01), with more substantial changes noted in the second year. Drug survival was 83% after one year and declined to 34% after five years. The two most frequently reported reasons for discontinuation were the doctor's decision (36.2%) and lack or loss of effectiveness (19.2%). No significant difference was found between naïve and previous users of bDMARDs or between concomitant and nonconcomitant users of csDMARDs when analysing drug effectiveness and survival. Our real-life data show that ref-RTX-treated RA patients had satisfactory treatment responses; drug survival declined linearly over time. There was no significant difference between naïve and previous users of bDMARDs or between concomitant and nonconcomitant users of csDMARDs, both for drug effectiveness and survival.

Real-world evidence of mesenchymal stem cell therapy in knee osteoarthritis: a large prospective two-year case series

Objective: To evaluate the long-term safety and efficacy of adipose-derived mesenchymal stem cell (ADMSC) therapy in the treatment of knee osteoarthritis (OA). Methods: 329 participants with knee OA underwent intra-articular ADMSC therapy. Participants were followed up for 24 months and were separated based on radiological OA grade. Results: Treatment was well tolerated with no related serious adverse events. All participant groups reported clinically and statistically significant pain improvement. Clinical outcome was not influenced by patients' age or BMI. Conclusion: ADMSC therapy is an effective, safe and long-lasting treatment option for knee OA with the potential to delay total joint replacement. In addition to the observed clinical benefits, ADMSC therapy promises to reduce the global economic burden of OA. Trial registration number: ACTRN12617000638336.

Disease burden and treatment sequence of polymyositis and dermatomyositis patients in Japan: a real-world evidence study

INTRODUCTION/OBJECTIVES

Since new consensus on polymyositis (PM) and dermatomyositis (DM) were released in Japan, an updated evidence on treatment landscape and PM/DM burden was essential. This study evaluates treatment burden and overall treatment cost of PM/DM-related inpatient and outpatient visits, treatments, and procedures/patient/year.

METHOD

This retrospective, observational study analyzed insurance claims from Japan Medical Data Center (JMDC) database. Patients with at least one PM/DM diagnosis/one dispensation of treatment between 1 January 2009 and 31 December 2019 were enrolled. Patient characteristics, treatment patterns and sequence, treatment choices, healthcare resource utilization (HCRU), and related costs were assessed. Chi-square test and linear regression model were used to assess impact of patient characteristics on treatment choice.

RESULTS

Patients (836/4,961) receiving a relevant treatment were analyzed. Heart disease (35%), interstitial lung disease (27%), and diabetes mellitus (26%) were frequently identified as comorbidities. Concomitant dispensation of immunosuppressants and systemic steroids was largely found in first and second line of treatment (LoT) while systemic steroids remained as single dominant treatment across all LoTs. HCRU was very low for inpatient visits (0.68 [1.43]) or rehabilitation (4.74 [14.57]). The mean (SD) number of inpatient visits decreased from first (1.23 [2.32]) to third year (0.11 [0.54]). Total mean (SD) healthcare cost per patients per year was ¥ 3,815,912 (7,412,241), with overall drug dispensation compounding to 80% of total cost.

CONCLUSIONS

High concomitant immunosuppressant and systemic steroid prescriptions in first LoT recommend early optimal treatment to manage PM/DM. Although inpatient costs are low, outpatient dispensation costs increase overall economic burden.

Can treating rheumatoid arthritis with disease-modifying anti-rheumatic drugs at the window of opportunity with tight control strategy lead to long-term remission and medications free remission in real-world clinical practice? A cohort study

OBJECTIVE

The aim of this retrospective study is to compare the results of starting rheumatoid arthritis (RA) treatment with tight control strategy in the window of opportunity and later phases of the disease in real-world clinical practice.

METHODS

In this cohort, 609 RA patients were divided into three groups: (i) very early treatment (VET): ≤ 3 months; (ii) early treatment (ET): 3-12 months; and (iii) late treatment (LT) > 12 months after the onset of the disease. Four levels of remission were defined: (i) sustained remission on treatment, (ii) sustained glucocorticoids free remission, (iii) sustained disease-modifying anti-rheumatic drugs (DMARDs) free remission, and (iv) long-term remission. Outcome was assessed based on the number of patients in sustained or long-term remission and patients with poor joint outcome and systemic involvement.

RESULTS

There were no significant differences in the remission rate between the groups. Time to sustained remission in VET group was shorter than ET and LT groups. There were no significant differences in the rate and duration of prednisolone discontinuation in the studied groups. DMARDs were discontinued in VET, ET, and LT groups in 8.7%, 10.2%, and 7% of the patients, respectively. Poor joint outcome occurred in 33.2%, 50.5%, and 59.4% of the patients in the VET, ET, and LT groups, respectively. Remission induction in the first year of the treatment was associated with long-term remission in the VET, ET, and LT groups.

CONCLUSIONS

Medications free remission in RA is rare, and although treatment with DMARDs within 3 months of the onset of the disease can prevent joint damage, it cannot lead to long-term remission and discontinuation of medications.

KEY POINTS

• Medications free remission in rheumatoid arthritis is rare. • Treatment with DMARDs within 3 months of the onset of the disease can prevent joint damage, but it cannot lead to long-term remission and discontinuation of medications.

Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: Where do we stand?

The past decade has seen tremendous development in digital health, including in innovative new technologies such as Electronic Health Records, telemedicine, virtual visits, wearable technology and sophisticated analytical tools such as artificial intelligence (AI) and machine learning for the deep-integration of big data. In the field of rare connective tissue diseases (rCTDs), these opportunities include increased access to scarce and remote expertise, improved patient monitoring, increased participation and therapeutic adherence, better patient outcomes and patient empowerment. In this review, we discuss opportunities and key-barriers to improve application of digital health technologies in the field of autoimmune diseases. We also describe what could be the fully digital pathway of rCTD patients. Smart technologies can be used to provide real-world evidence about the natural history of rCTDs, to determine real-life drug utilization, advanced efficacy and safety data for rare diseases and highlight significant unmet needs. Yet, digitalization remains one of the most challenging issues faced by rCTD patients, their physicians and healthcare systems. Digital health technologies offer enormous potential to improve autoimmune rCTD care but this potential has so far been largely unrealized due to those significant obstacles. The need for robust assessments of the efficacy, affordability and scalability of AI in the context of digital health is crucial to improve the care of patients with rare autoimmune diseases.

Treatment Patterns and Pharmacoutilization in Patients Affected by Rheumatoid Arthritis in Italian Settings

This study aimed to evaluate the treatment patterns and pharmacoutilization of patients with rheumatoid arthritis (RA) in real-world settings in Italy. This retrospective observational analysis was based on administrative databases of selected Italian entities. All adult patients with RA diagnosis confirmed by ≥1 discharge diagnosis of RA (ICD-9-CM code = 714.0) or an active exemption code (006.714.0) were enrolled in 2019. Two cohorts were created: one included patients prescribed baricitinib, the other those prescribed biological disease-modifying antirheumatic drugs (bDMARDs). Overall, 47,711 RA patients were identified, most of them without DMARD prescription. As a first-line prescription, 43.2% of patients were prescribed conventional synthetic DMARDs (csDMARDs), 5.2% bDMARDs and 0.3% baricitinib. In 2019, 82.6% of csDMARD users continued with the same DMARD category, 15.9% had a bDMARD, while 1.5% had baricitinib as second-line therapy. Overall, 445 patients used baricitinib during 2019. During follow-up, baricitinib was prescribed as monotherapy to 31% of patients, as cotreatment with csDMARDs and corticosteroids to 27% of patients, with corticosteroids to 28% of patients and with csDMARDs to 14% of patients. In line with previous findings, a trend of bDMARD undertreatment was observed. The treatment patterns of baricitinib patients could help to better characterize patients eligible for new therapeutic options that will be available in the future.

Informed Consent for Scholarly Articles during the COVID-19 Pandemic

The coronavirus disease 2019 pandemic has caused a breakdown in the healthcare system worldwide. The need to rapidly update guidelines in order to control the transmission in the population and for evidenced-based healthcare care has led to the need for timely, voluminous and valid research. Amid the quest for a vaccine and better therapies, researchers clamouring for information has led to a wide variety of ethical issues due to the unique situation. This paper aims to examine the positive and negative aspects of recent changes in the process of obtaining informed consent. The article outlines the various aspects, from history, previously described exemptions to consenting as well as those implemented during the pandemic and the current impact of virtual methods. Further, the authors make recommendations based on the outcome of suggested adjustments described in the literature. This article looks into increasing the awareness of physicians and researchers about ethical issues that need to be addressed to provide optimal care for patients while assuring their integrity and confidentiality.

Tumour necrosis factor inhibitors slow radiographic progression in patients with ankylosing spondylitis: 18-year real-world evidence

OBJECTIVES

Tumour necrosis factor inhibitors (TNFis) have been suggested to slow radiographic progression in patients with ankylosing spondylitis. However, limitations such as variations in disease activity, complex drug administration and short follow-up duration make it difficult to determine the effect of TNFis on radiographic progression. The aim of the study was to investigate whether long-term treatment with TNFis can reduce radiographic progression in patients with ankylosing spondylitis using 18-year longitudinal real-world data.

METHODS

This retrospective study was conducted between January 2001 and December 2018 at a single centre. Among the 1280 patients whose electronic medical records were reviewed, data of 595 patients exposed to TNFis at least once were included. Among them, time intervals of TNFi exposure or non-exposure were determined in 338 patients ('on the TNFis' or 'off the TNFis' intervals, respectively). The difference in the modified Stoke Ankylosing Spondylitis Spinal Score (mSASSS) change rate between 'on the TNFis' and 'off the TNFis' intervals was investigated.

RESULTS

We obtained 2364 intervals of 338 patients (1281 'on the TNFis' and 1083 'off the TNFis' intervals). In the marginal structural model for inverse probability of treatment weighting, the change rate of mSASSS significantly decreased with the use of TNFis (β=-0.112, p=0.004), and the adjusted mSASSS changes were 0.848 and 0.960 per year during 'on the TNFis' and 'off the TNFis' intervals, respectively.

CONCLUSION

Compared with treatment without TNFis, treatment with TNFis slowed radiologic progression significantly.

Real-world evidence of secukinumab in psoriasis treatment - a meta-analysis of 43 studies

Real-world evidence (RWE) meta-analyses provide valuable insights from patients in routine clinical practice. Secukinumab, the first fully human monoclonal antibody that neutralizes IL-17A, has shown long-lasting effectiveness and safety in plaque psoriasis (PsO). Since its licence approval in 2015, many RWE studies have been published. The objective of this study was to review all available literature on RWE studies with secukinumab and the secukinumab arm of comparator studies in patients with moderate-to-severe PsO to evaluate its effectiveness, drug survival and safety. https://www.embase.com and https://clinicaltrials.gov databases were searched using prespecified inclusion criteria between 1 January 2015 and 31 May 2019. Using a meta-package and R statistical software to analyse data, key outcomes were measured at 3, 6 and 12 months. PASI and DLQI score data were recorded for patients who remained on secukinumab treatment. Overall, 43 studies were included. Drug survival was 90% at 3 and 6 months, and 80% at 12 months. At 12 months, 8% of patients had discontinued treatment due to lack of effectiveness. At 3, 6 and 12 months, Psoriasis Area and Severity Index (PASI) 90 scores were as follows: 50%, 53% and 60%, and PASI 100 scores were 36%, 46% and 51%, respectively. At 3, 6 and 12 months, 57%, 55% and 65% of patients achieved a Dermatology Life Quality Index (DLQI) score of 0 or 1, respectively. Adverse events were consistent with rates observed in clinical trials with no new safety signals. This meta-analysis strengthens existing evidence on the clinical effectiveness of secukinumab in patients with moderate-to-severe PsO, demonstrating high drug survival rates, high levels of patient-reported outcomes, and good tolerance.

Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations

Objective

To assess the current use of big data and artificial intelligence (AI) in the field of rheumatic and musculoskeletal diseases (RMDs).

Methods

A systematic literature review was performed in PubMed MEDLINE in November 2018, with key words referring to big data, AI and RMDs. All original reports published in English were analysed. A mirror literature review was also performed outside of RMDs on the same number of articles. The number of data analysed, data sources and statistical methods used (traditional statistics, AI or both) were collected. The analysis compared findings within and beyond the field of RMDs.

Results

Of 567 articles relating to RMDs, 55 met the inclusion criteria and were analysed, as well as 55 articles in other medical fields. The mean number of data points was 746 million (range 2000–5 billion) in RMDs, and 9.1 billion (range 100 000–200 billion) outside of RMDs. Data sources were varied: in RMDs, 26 (47%) were clinical, 8 (15%) biological and 16 (29%) radiological. Both traditional and AI methods were used to analyse big data (respectively, 10 (18%) and 45 (82%) in RMDs and 8 (15%) and 47 (85%) out of RMDs). Machine learning represented 97% of AI methods in RMDs and among these methods, the most represented was artificial neural network (20/44 articles in RMDs).

Conclusions

Big data sources and types are varied within the field of RMDs, and methods used to analyse big data were heterogeneous. These findings will inform a European League Against Rheumatism taskforce on big data in RMDs.