The evidence for biologic immunotherapy in Sarcoidosis: A systematic review

BackgroundSarcoidosis is a chronic inflammatory disease with a myriad of clinical manifestations. Treatment involves immunosuppression with corticosteroids or steroid-sparing agents. A proportion of patients does not respond to or are intolerant to therapy. Targeted immunotherapy with biologic agents has emerged as a novel approach with plausible mechanistic reasons to warrant study. AimsThe aim of this review was to evaluate the evidence for the efficacy of biological therapy in sarcoidosis.Methods We conducted a systematic literature review and meta-analysis of all published randomised-controlled trials (RCT) evaluating biological therapy in sarcoidosis, using MEDLINE and Embase databases, through to September 2017. The search terms included sarcoidosis, infliximab, adalimumab, etanercept, golimumab, certolizumab, rituximab, abatacept, tocilizumab, anakinra, ustekinumab, secukinumab. Only articles reporting RCTs were selected. Improvements in respiratory disease were assessed by changes in forced vital capacity (FVC) by weighted mean difference (WMD). There were insufficient data on outcome measures in other organ systems to comparatively assess efficacy.Results The search identified 2,324 studies of which only 5 provided relevant and original data. This comprised a total of 364 patients, evaluating pulmonary, cutaneous and ocular sarcoidosis. One study in pulmonary disease and one study in cutaneous disease demonstrated improvements in the primary outcome. In pulmonary disease, meta-analysis of the treatment effect of anti-TNF therapy versus placebo on FVC revealed a WMD of 1.69 per cent (95 per cent confidence interval, 1.44–1.94). ConclusionThere are insufficient data to suggest the long-term efficacy of anti-TNFα inhibitors in the treatment of sarcoidosis. This may be due to heterogeneity, small sample sizes and the lack of consistent reporting of outcome measures

Data quality predicts care quality: findings from a national clinical audit

Background: Missing clinical outcome data are a common occurrence in longitudinal studies. Data quality in clinical audit is a particular cause for concern. The relationship between departmental levels of missing clinical outcome data and care quality is not known. We hypothesise that completeness of key outcome data in a national audit predicts departmental performance. Methods: The National Clinical Audit for Rheumatoid and Early Inflammatory Arthritis (NCAREIA) collected data on care of patients with suspected rheumatoid arthritis (RA) from early 2014 to late 2015. This observational cohort study collected data on patient demographics, departmental variables, service quality measures including time to treatment, and the key RA clinical outcome measure, disease activity at baseline, and 3 months follow-up. A mixed effects model was conducted to identify departments with high/low proportions of missing baseline disease activity data with the results plotted on a caterpillar graph. A mixed effects model was conducted to assess if missing baseline disease activity predicted prompt treatment. Results: Six thousand two hundred five patients with complete treatment time data and a diagnosis of RA were recruited from 136 departments. 34.3% had missing disease activity at baseline. Mixed effects modelling identified 13 departments with high levels of missing disease activity, with a cluster observed in the Northwest of England. Missing baseline disease activity was associated with not commencing treatment promptly in an adjusted mix effects model, odds ratio 0.50 (95% CI 0.41 to 0.61, p < 0.0001). Conclusions: We have shown that poor engagement in a national audit program correlates with the quality of care provided. Our findings support the use of data completeness as an additional service quality indicator

Electronic screening for mental illness in patients with psoriasis

In this cross sectional study from a large UK centre, screening for mental illness in individuals with psoriasis has demonstrated a high burden of depression and anxiety. 85% of the cohort report that their psoriasis had affected their quality of life. Quality of life scores correlate with depression scores, emphasing the importance of managing individual's mental health alongside their psoriasis to improve overall quality of life

Variation and implications of treatment decisions in early rheumatoid arthritis: results from a nationwide cohort study

Objectives Trial data have provided an evidence base to guide early treatment in RA. Few studies have investigated rheumatologists’ adherence to guidelines, and subsequent impact on outcomes. The objectives of this study are to characterize baseline prescribing for patients with RA across the National Health Service, identifying treatment decisions that associate with patient outcomes. Methods A nationwide audit of RA collected information on treatment choices, DAS and sociodemographic factors at baseline. Treatment response was assessed at 3 months. Multilevel regression models were used to characterize departmental variations in prescribing. Heat maps were used to visualize geographical variation. Mixed effects regression models were constructed to assess the relationship between treatment decisions and disease outcomes, adjusting for patient and department level covariates. Results A total of 7154 patients with a diagnosis of RA were recruited from 136 departments. There was broad variation in prescribing choices, even between departments close to one another, with evidence of substantial deviation from guidelines. Over 75% of patients received glucocorticoids, fewer than half received combination conventional DMARDs. Early glucocorticoid therapy associated with achieving a good treatment response [odds ratio 1.93 (95% CI 1.31, 2.84), P-value = 0.001]. The association was maintained following propensity modelling and imputation. Conclusion Guideline adherence varies between departments and cannot be explained by case-mix alone. Departments that prescribe early adjunctive steroid achieve better short-term outcomes. Further research should work to ensure that the early arthritis evidence base translates into better outcomes for patients

Electronic screening for mental illness in patients with psoriasis

In this cross sectional study from a large UK centre, screening for mental illness in individuals with psoriasis has demonstrated a high burden of depression and anxiety. 85% of the cohort report that their psoriasis had affected their quality of life. Quality of life scores correlate with depression scores, emphasing the importance of managing individual's mental health alongside their psoriasis to improve overall quality of life

Diagnostic delay is common for patients with axial spondyloarthritis: Results from the National Early Inflammatory Arthritis Audit

OBJECTIVES: Updated guidelines for patients with axial SpA (axSpA) have sought to reduce diagnostic delay by raising awareness among clinicians. We used the National Early Inflammatory Arthritis Audit (NEIAA) to describe baseline characteristics and time to diagnosis for newly referred patients with axSpA in England and Wales. METHODS: Analyses were performed on sociodemographic and clinical metrics, including time to referral and assessment, for axSpA patients (n = 784) recruited to the NEIAA between May 2018 and March 2020. Comparators were patients recruited to the NEIAA with RA (n = 9270) or mechanical back pain (MBP; n = 370) in the same period. RESULTS: Symptom duration prior to initial rheumatology assessment was longer in axSpA than RA patients (P 6 months, compared with 33.7% of RA patients and 76.0% of MBP patients. Following referral, the median time to initial rheumatology assessment was longer for axSpA than RA patients (36 vs 24 days; P < 0.001) and similar to MBP patients (39 days; P = 0.30). Of the subset of patients deemed eligible for early inflammatory arthritis pathway follow-up, fewer axSpA than RA patients had disease education provided (77.5% vs 97.8%) and RA patients reported a better understanding of their condition and treatment. CONCLUSION: Diagnostic delay in axSpA remains a major challenge despite improved disease understanding and updated referral guidelines. Disease education is provided to fewer axSpA than RA patients, highlighting the need for specialist clinics and support programmes for axSpA patients

Gout incidence and management during the COVID-19 pandemic in England, UK: a nationwide observational study using OpenSAFELY

BackgroundGout is the most prevalent inflammatory arthritis, yet one of the worst managed. Our objective was to assess how the COVID-19 pandemic impacted incidence and quality of care for people with gout in England, UK.MethodsWith the approval of National Health Service England, we did a population-level cohort study using primary care and hospital electronic health record data for 17·9 million adults registered with general practices using TPP health record software, via the OpenSAFELY platform. The study period was from March 1, 2015, to Feb 28, 2023. Individuals aged 18–110 years were defined as having incident gout if they were assigned index diagnostic codes for gout, were registered with TPP practices in England for at least 12 months before diagnosis, did not receive prescriptions for urate-lowering therapy more than 30 days before diagnosis, and had not been admitted to hospital or attended an emergency department for gout flares more than 30 days before diagnosis. Outcomes assessed were incidence and prevalence of people with recorded gout diagnoses, incidence of gout hospitalisations, initiation of urate-lowering therapy, and attainment of serum urate targets (≤360 μmol/L).FindingsFrom a reference population of 17 865 145 adults, 246 695 individuals were diagnosed with incident gout. The mean age of individuals with incident gout was 61·3 years (SD 16·2). 66 265 (26·9%) of 246 695 individuals were female, 180 430 (73·1%) were male, and 189 035 (90·9%) of 208 050 individuals with available ethnicity data were White. Incident gout diagnoses decreased by 30·9% in the year beginning March, 2020, compared with the preceding year (1·23 diagnoses vs 1·78 diagnoses per 1000 adults). Gout prevalence was 3·07% in 2015–16, and 3·21% in 2022–23. Gout hospitalisations decreased by 30·1% in the year commencing March, 2020, compared with the preceding year (9·6 admissions vs 13·7 admissions per 100 000 adults). Of 228 095 people with incident gout and available follow-up, 66 560 (29·2%) were prescribed urate-lowering therapy within 6 months. Of 65 305 individuals who initiated urate-lowering therapy with available follow-up, 16 790 (25·7%) attained a serum urate concentration of 360 μmol/L or less within 6 months of urate-lowering therapy initiation. In interrupted time-series analyses, urate-lowering therapy prescribing improved modestly during the pandemic, compared with pre-pandemic, whereas urate target attainment was similar.InterpretationUsing gout as an exemplar disease, we showed the complexity of how health care was impacted during the COVID-19 pandemic. We observed a reduction in gout diagnoses but no effect on treatment metrics. We showed how country-wide, routinely collected data can be used to map disease epidemiology and monitor care quality

Nonadherence to systemic immune-modifying therapy in people with psoriasis during the COVID-19 pandemic: findings from a global cross-sectional survey

BACKGROUND: Nonadherence to immune-modifying therapy is a complex behaviour which, before the COVID-19 pandemic, was shown to be associated with mental health disorders in people with immune-mediated diseases. The COVID-19 pandemic has led to a rise in the global prevalence of anxiety and depression, and limited data exist on the association between mental health and nonadherence to immune-modifying therapy during the pandemic. OBJECTIVES: To assess the extent of and reasons underlying nonadherence to systemic immune-modifying therapy during the COVID-19 pandemic in individuals with psoriasis, and the association between mental health and nonadherence. METHODS: Online self-report surveys (PsoProtectMe), including validated screens for anxiety and depression, were completed globally during the first year of the pandemic. We assessed the association between anxiety or depression and nonadherence to systemic immune-modifying therapy using binomial logistic regression, adjusting for potential cofounders (age, sex, ethnicity, comorbidity) and country of residence. RESULTS: Of 3980 participants from 77 countries, 1611 (40.5%) were prescribed a systemic immune-modifying therapy. Of these, 408 (25.3%) reported nonadherence during the pandemic, most commonly due to concerns about their immunity. In the unadjusted model, a positive anxiety screen was associated with nonadherence to systemic immune-modifying therapy [odds ratio (OR) 1.37, 95% confidence interval (CI) 1.07-1.76]. Specifically, anxiety was associated with nonadherence to targeted therapy (OR 1.41, 95% CI 1.01-1.96) but not standard systemic therapy (OR 1.16, 95% CI 0.81-1.67). In the adjusted model, although the directions of the effects remained, anxiety was not significantly associated with nonadherence to overall systemic (OR 1.20, 95% CI 0.92-1.56) or targeted (OR 1.33, 95% CI 0.94-1.89) immune-modifying therapy. A positive depression screen was not strongly associated with nonadherence to systemic immune-modifying therapy in the unadjusted (OR 1.22, 95% CI 0.94-1.57) or adjusted models (OR 1.14, 95% CI 0.87-1.49). CONCLUSIONS: These data indicate substantial nonadherence to immune-modifying therapy in people with psoriasis during the pandemic, with attenuation of the association with mental health after adjusting for confounders. Future research in larger populations should further explore pandemic-specific drivers of treatment nonadherence. Clear communication of the reassuring findings from population-based research regarding immune-modifying therapy-associated adverse COVID-19 risks to people with psoriasis is essential, to optimize adherence and disease outcomes

A comprehensive high cost drugs dataset from the NHS in England - An OpenSAFELY-TPP Short Data Report

Background: At the outset of the COVID-19 pandemic, there was no routine comprehensive hospital medicines data from the UK available to researchers. These records can be important for many analyses including the effect of certain medicines on the risk of severe COVID-19 outcomes. With the approval of NHS England, we set out to obtain data on one specific group of medicines, “high-cost drugs” (HCD) which are typically specialist medicines for the management of long-term conditions, prescribed by hospitals to patients. Additionally, we aimed to make these data available to all approved researchers in OpenSAFELY-TPP. This report is intended to support all studies carried out in OpenSAFELY-TPP, and those elsewhere, working with this dataset or similar data. Methods: Working with the North East Commissioning Support Unit and NHS Digital, we arranged for collation of a single national HCD dataset to help inform responses to the COVID-19 pandemic. The dataset was developed from payment submissions from hospitals to commissioners. Results: In the financial year (FY) 2018/19 there were 2.8 million submissions for 1.1 million unique patient IDs recorded in the HCD. The average number of submissions per patient over the year was 2.6. In FY 2019/20 there were 4.0 million submissions for 1.3 million unique patient IDs. The average number of submissions per patient over the year was 3.1. Of the 21 variables in the dataset, three are now available for analysis in OpenSafely-TPP: Financial year and month of drug being dispensed; drug name; and a description of the drug dispensed. Conclusions: We have described the process for sourcing a national HCD dataset, making these data available for COVID-19-related analysis through OpenSAFELY-TPP and provided information on the variables included in the dataset, data coverage and an initial descriptive analysis.</ns4:p