Pneumococcal vaccine uptake in patients with inflammatory arthritis: a single centre cohort study.

INTRODUCTION: Current guidelines recommend pneumococcal vaccination in individuals who are over the age of 65 or are immunosuppressed due to a disease or treatment. The objective of this study was to assess vaccine uptake rates in people with inflammatory arthritis for the pneumococcal, influenza and Covid-19 vaccines and factors determining uptake. METHODS: We conducted a retrospective single centre cohort study in the UK of individuals with rheumatoid arthritis, psoriatic arthritis and axial spondylarthritis between October and December 2023. Data were collected for age, gender, co-morbidities, immunosuppressive therapies, and dates of vaccines. Logistic regression was used to evaluate predictors of vaccine uptake, with adjustments for demographic and clinical factors. RESULTS: 906 individuals were identified. 46% were receiving treatment with csDMARD, 26% on biologic monotherapy, and 23% were on both biologic and csDMARDs. 316 individuals (35%) received a pneumococcal vaccine, lower than uptake for influenza (63%) and Covid-19 (87%) vaccines. Predictors of pneumococcal vaccine uptake included age, with older patients more likely to be vaccinated (odds ratio [OR] for age ≥ 65 years: 1.67, 95% CI 1.21-2.29). Those on biological therapy demonstrated higher likelihood of vaccination (OR for biologic therapy: 1.81, 95% CI 1.33-2.47). Additional Joint committee for immunisation and vaccination (JCVI) Green Book indicators also positively influenced vaccine uptake (OR: 1.67, 95% CI 1.19-2.33). CONCLUSION: Pneumococcal vaccine uptake in inflammatory rheumatic diseases is low, especially in younger patients and those not on biological therapy. The study highlights the need for a focused approach, distinct from strategies for other vaccines, to address this public health challenge.

Temporal and regional variation in the use of biologic and targeted synthetic DMARDs for rheumatoid arthritis: a nationwide cohort study.

OBJECTIVE: To evaluate temporal and regional variation in biologic and targeted synthetic DMARD (b/tsDMARD) initiation for rheumatoid arthritis (RA) in England and Wales. METHODS: An observational cohort study was conducted for people with RA enrolled in the National Early Inflammatory Arthritis Audit (NEIAA) between May 2018 and April 2022 who had 12-month follow-up data. Temporal trends in escalation to b/tsDMARDs within 12 months of initial rheumatology assessment were explored, including comparisons before and after publication (July 2021) of national guidelines that lowered the threshold for b/tsDMARD initiation to include moderate-severity RA. Case-mix-adjusted, mixed-effects regression was used to evaluate regional and hospital-level variation in b/tsDMARD initiation. RESULTS: Of 6,098 RA patients with available follow-up, 508 (8.3%) initiated b/tsDMARDs within 12 months of initial assessment. b/tsDMARD escalation increased marginally towards the end of the study period (9.2% in May 2021/22); however, no significant differences were evident after guidelines were published permitting b/tsDMARDs for moderate-severity RA. The proportion of individuals escalated to b/tsDMARDs varied considerably between regions, ranging from 5.1% in Wales to 10.7% in North-West England. Following case-mix adjustment, the intraclass correlation (ICC) for hospitals within regions was 0.17, compared with a between-region ICC of 0.0, suggesting that the observable regional variation reflected hospital-level differences rather than systematic differences between regions themselves. CONCLUSION: There is marked variation in escalation to b/tsDMARDs for people newly-diagnosed with RA throughout England and Wales, despite a universal healthcare system. These disparities must be addressed if we are to deliver equitable access to b/tsDMARDs, regardless of geography.

JAK inhibitors and the risk of malignancy: a meta-analysis across disease indications.

OBJECTIVES: To estimate the association of Janus kinase inhibitors (JAKi) with the incidence of malignancy, compared with placebo, tumour necrosis factor (TNF)-α inhibitors (TNFi) and methotrexate. METHODS: Systematic searches of databases were performed, to December 2022, to identify phase II/III/IV randomised clinical trials (RCTs) and long-term extension (LTE) studies of JAKi (tofacitinib, baricitinib, upadacitinib, filgotinib, peficitinib) compared with placebo, TNFi or methotrexate, in adults with rheumatoid arthritis, psoriatic arthritis, psoriasis, axial spondyloarthritis, inflammatory bowel disease or atopic dermatitis. Network and pairwise meta-analyses were performed to estimate incidence rate ratios (IRRs) for malignancy between JAKi and comparators. Bias was assessed using the Cochrane Risk of Bias-2 tool. RESULTS: In 62 eligible RCTs and 16 LTE studies, there were 82 366 person-years of exposure to JAKi, 2924 to placebo, 7909 to TNFi and 1074 to methotrexate. The overall malignancy incidence rate was 1.15 per 100 person-years in RCTs, and 1.26 per 100 person-years across combined RCT and LTE data. In network meta-analyses, the incidence of all malignancies including non-melanomatous skin cancers (NMSCs) was not significantly different between JAKi and placebo (IRR 0.71; 95% CI 0.44 to 1.15) or between JAKi and methotrexate (IRR 0.77; 95% CI 0.35 to 1.68). Compared with TNFi, however, JAKi were associated with an increased incidence of malignancy (IRR 1.50; 95% CI 1.16 to 1.94). Findings were consistent when analysing NMSC only and when analysing combined RCT/LTE data. CONCLUSIONS: JAKi were associated with a higher incidence of malignancy compared with TNFi but not placebo or methotrexate. Cancers were rare events in all comparisons. PROSPERO REGISTRATION NUMBER: CRD42022362630.

Occupational impacts of early inflammatory arthritis: results from the National Early Inflammatory Arthritis Audit.

OBJECTIVES: Inflammatory arthritis (IA) causes significant work disability. Studies frequently fail to report important contextual information such as employment type. Our objective was to explore work participation, by gender and occupation type in early IA. METHODS: Data are from the National Early Inflammatory Arthritis Audit between 2018 and 2020. At diagnosis, clinicians collected information on demographics, IA disease activity and working status. Participants completed patient-reported outcomes at baseline, 3- and 12-months, including occupation and Work Productivity Activity Impairment (WPAI). Descriptive analyses of work participation and WPAI scores by occupational class at all timepoints were performed. Regression models examined associations between WPAI score and occupation. FINDINGS: 12 473 people received a diagnosis of IA and reported employment status, amongst whom 5,999 (47%) were in paid-work at least 20-h/week. At diagnosis, the working cohort had statistically significant lower measures of disease activity (p< 0.001). Occupation data were available for 3,694 individuals. At diagnosis, 2,793 completed a WPAI; 200 (7.2%) had stopped work and 344 (12.3%) changed jobs because of IA symptoms. There was a high burden of absenteeism (30%) and presenteeism (40%). Compared with managerial or professional workers, the burden of work disability was greater amongst those in routine (manual) occupations. During follow-up, 9.4% of WPAI completers had stopped work and 14.6% had changed roles. Work dropout occurred almost entirely amongst people doing routine jobs. CONCLUSION: IA associates with work disability within 12 months of diagnosis. It is easier to retain work in certain employment sectors. Participation in routine jobs is more affected, which may widen health inequalities.

COVID-19 admissions and mortality in patients with early inflammatory arthritis: results from a UK national cohort.

OBJECTIVE: To describe the risks and predictors of coronavirus disease 2019 (COVID-19) hospitalization and mortality among patients with early inflammatory arthritis (EIA), recruited to the National Early Inflammatory Arthritis Audit (NEIAA). METHODS: NEIAA is an observational cohort. We included adults with EIA from Feb 2020 to May 2021. Outcomes of interest were hospitalization and death due to COVID-19, using NHS Digital linkage. Cox proportional hazards were used to calculate hazard ratios for outcomes according to initial treatment strategy, with adjustment for confounders. RESULTS: From 14 127 patients with EIA, there were 143 hospitalizations and 47 deaths due to COVID-19, with incidence rates per 100 person-years of 0.93 (95% CI 0.79, 1.10) for hospitalization and 0.30 (95% CI 0.23, 0.40) for death. Increasing age, male gender, comorbidities and ex-smoking were associated with increased risk of worse COVID-19 outcomes. Higher baseline DAS28 was not associated with COVID-19 admissions [confounder adjusted hazard ratio (aHR) 1.10; 95% CI 0.97, 1.24] or mortality (aHR 1.11; 95% CI 0.90, 1.37). Seropositivity was not associated with either outcome. Higher symptom burden on patient-reported measures predicted worse COVID-19 outcomes. In unadjusted models, CS associated with COVID-19 death (HR 2.29; 95% CI 1.02, 5.13), and SSZ monotherapy associated with COVID-19 admission (HR 1.92; 95% CI 1.04, 3.56). In adjusted models, associations for CS and SSZ were not statistically significant. CONCLUSION: Patient characteristics have stronger associations with COVID-19 than the initial treatment strategy in patients with EIA. An important limitation is that we have not looked at treatment changes over time.

Implementing treat-to-target urate-lowering therapy during hospitalisations for gout flares.

OBJECTIVES: To evaluate a strategy designed to optimise care and increase uptake of urate-lowering therapy (ULT) during hospitalisations for gout flares. METHODS: We conducted a prospective cohort study to evaluate a strategy that combined optimal in-hospital gout management with a nurse-led, follow-up appointment, followed by handover to primary care. Outcomes, including ULT initiation, urate target attainment, and re-hospitalisation rates, were compared between patients hospitalised for flares in the 12 months post-implementation and a retrospective cohort of hospitalised patients from 12 months pre-implementation. RESULTS: 119 and 108 patients, respectively, were hospitalised for gout flares in the 12 months pre- and post-implementation. For patients with 6-month follow-up data available (n = 94 and n = 97, respectively), the proportion newly initiated on ULT increased from 49.2% pre-implementation to 92.3% post-implementation (age/sex-adjusted odds ratio (aOR) 11.5; 95% confidence interval (CI) 4.36-30.5; p < 0.001). After implementation, more patients achieved a serum urate ≤360 micromol/L within 6 months of discharge (10.6% pre-implementation vs. 26.8% post-implementation; aOR 3.04; 95% CI 1.36-6.78; p = 0.007). The proportion of patients re-hospitalised for flares was 14.9% pre-implementation vs. 9.3% post-implementation (aOR 0.53, 95% CI 0.22 to 1.32; p = 0.18). CONCLUSION: Over 90% of patients were initiated on ULT after implementing a strategy to optimise hospital gout care. Despite increased initiation of ULT during flares, recurrent hospitalisations were not more frequent following implementation. Significant relative improvements in urate target attainment were observed post-implementation; however, for the majority of hospitalised gout patients to achieve urate targets, closer primary-secondary care integration is still needed.

Worse outcomes linked to ethnicity for early inflammatory arthritis in England and Wales: a national cohort study.

OBJECTIVE: To assess variability in care quality and treatment outcomes across ethnicities in early inflammatory arthritis (EIA). METHODS: We conducted an observational cohort study in England and Wales from May 2018 to March 2020, including patients with a suspected/confirmed EIA diagnosis. Care quality was assessed against six metrics defined by national guidelines. Clinical outcomes were measured using DAS28. Outcomes between ethnic groups ('White', 'Black', 'Asian', 'Mixed', 'Other') were compared, and adjusted for confounders. RESULTS: A total of 35 807 eligible patients were analysed. Of those, 30 643 (85.6%) were White and 5164 (14.6%) were from ethnic minorities: 1035 (2.8%) Black; 2617 (7.3%) Asian; 238 (0.6%) Mixed; 1274 (3.5%) Other. In total, 12 955 patients had confirmed EIA, of whom 11 315 were White and 1640 were from ethnic minorities: 314 (2.4%) Black; 927 (7.1%) Asian; 70 (0.5%) Mixed; 329 (2.5%) Other. A total of 14 803 patients were assessed by rheumatology within three weeks, and 5642 started treatment within six weeks of referral. There were no significant differences by ethnicity. Ethnic minority patients had lower odds of disease remission at three months [adjusted odds ratio 0.79 (95% CI: 0.65, 0.96)] relative to White patients. Ethnic minorities were significantly less likely to receive initial treatment withMTX[0.68 (0.52, 0.90)] or with glucocorticoids [0.63 (0.49, 0.80)]. CONCLUSION: We demonstrate that some ethnic minorities are less likely to achieve disease remission in three months following EIA diagnosis. This is not explained by delays in referral or time to treatment. Our data highlight the need for investigation into the possible drivers of these inequitable outcomes and reappraisal of EIA management pathways.

Impact of visualising healthcare quality performance: a systematic review.

OBJECTIVE: Performance visualisation tools are increasingly being applied in healthcare to enhance decision-making and improve quality of care. However, there is a lack of comprehensive synthesis of their overall effectiveness and the contextual factors that influence their success in different clinical settings. This study aims to provide a broad synthesis of visualisation interventions not limited to a specific department. DESIGN: Systematic review. DATA SOURCES: MEDLINE and Embase were searched until December 2022. ELIGIBILITY CRITERIA: Randomised controlled trials (RCTs) and observational studies in English involving a visualisation intervention, either alone or as a core intervention, that reported quantitative outcomes including process and outcome indicators. DATA EXTRACTION AND SYNTHESIS: Data on study characteristics, intervention characteristics, outcome measures and results were extracted. The quality of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation approach, and risk of bias was evaluated with Risk of Bias 2 for RCTs and Risk of Bias in Non-randomised Studies - of Interventions for non-randomised studies. RESULTS : Of the 12 studies included, 2 were RCTs and 10 were observational studies, including 1 before-after study and 1 interrupted time series study. Five studies (42%) were conducted in teaching hospital settings. Compared with the control group or baseline, 10 studies reported a statistically significant change in at least one of their outcome measures. A majority of the studies reported a positive impact, including prescription adherence (6/10), screening tests (3/10) and monitoring (3/10). Visualisation tool factors like type, clinical setting, workflow integration and clinician engagement, may have some influence on the effectiveness of the intervention, but no reliable evidence was identified. CONCLUSION: Performance visualisation tools have the potential to improve clinical performance indicators. More studies with standardised outcome measures and integrating qualitative methods are needed to understand the contextual factors that influence the effectiveness of these interventions.

Trust performance in managing inflammatory arthritis over time in England and Wales: a latent class analysis approach.

Objectives: To evaluate trust-level performance in time to initiation of DMARD therapy in patients with early inflammatory arthritis (EIA), with identification of the change in performance trajectories over time and investigation of trust characteristics associated with this change. Methods: We included 130 trusts from the UK contributing to the National Early Inflammatory Arthritis Audit (NEIAA) from 2018 to 2020. The primary outcome was days from referral to initiation of DMARD therapy in patients with EIA. Latent class growth mixture models were applied to identify distinct groups of trusts with similar trajectories of performance change over time. We used mixed effects linear and multinomial logistic regression models to evaluate the association between delay in treatment and trust-level characteristics. Results: The mean time to DMARD initiation was 53 days (s.d. 18), with an average 0.3-day decrease with each month over time. Four latent trajectories were identified in our cohort, with >77% of individual trusts showing ongoing improvements in decreasing treatment waiting times. Prior to separating by latent class, time to DMARD initiation was shorter in trusts with higher rheumatology staffing, a local EIA treatment pathway and those with access to musculoskeletal ultrasound. Trusts with more nurses in the rheumatology department were less likely to be in the worst performance group [odds ratio 0.69 (95% CI 0.49, 0.93)]. Conclusion: In this cohort study, we observed a reduction in treatment waiting time over time. Trusts with better staffed and improved EIA clinical structure are likely to initiate definitive treatment earlier in patients with EIA.

Factors associated with biological and targeted synthetic disease-modifying antirheumatic drug initiation for rheumatoid arthritis in underserved patient groups in England and Wales, UK: a national cohort study.

BACKGROUND: Quantifying health-care inequality is essential to addressing the imbalance in outcomes attributable to age, sex, race or ethnicity, and multimorbidity. In this study, we analysed differences in the initiation of biological or targeted synthetic disease-modifying antirheumatic drugs (DMARDs) in patients with rheumatoid arthritis within the universal health-care system of England and Wales, UK. METHODS: An observational cohort study was conducted using the National Early Inflammatory Arthritis Audit (NEIAA) dataset. We included all patients with rheumatoid arthritis who were enrolled in NEIAA between May 8, 2018, and April 30, 2022, and who had 12-month follow-up data available. Modified Poisson regression was used to explore factors associated with the initiation of biological and targeted synthetic DMARDs within 12 months of initial rheumatology assessment. The factors evaluated included age, sex, ethnicity, socioeconomic status (index of multiple deprivation), smoking status, and relevant comorbidities (lung disease, cardiovascular disease, cancer, and depression). NEIAA is supported by people with lived experience of rheumatoid arthritis, who contributed to study design and the interpretation of findings. FINDINGS: 6098 patients in NEIAA had new diagnoses of rheumatoid arthritis and available follow-up data. The mean age was 59·2 years (SD 14·9); 3912 (64·2%) patients were women and 2186 (35·8%) were men. 6047 (99·2%) patients had available ethnicity data, of whom 5215 (86·2%) were White, 152 (2·5%) were Black, 478 (7·9%) were Asian, and 202 (3·3%) were of mixed or other ethnicities. 508 (8·3%) of 6098 patients initiated biological and targeted synthetic DMARDs within 12 months. Patients younger than 40 years were more likely to be initiated on biological and targeted synthetic DMARDs than individuals older than 65 years (multivariable-adjusted risk ratio 2·41 [95% CI 1·83-3·19]; p<0·0001). Asian individuals were less likely to be initiated on biological and targeted synthetic DMARDs than White individuals (0·52 [0·36-0·76]; p=0·0007), which persisted after adjustment for socioeconomic status, comorbidities, baseline disease severity, and the initial response to conventional synthetic DMARDs. These differences were evident for Asian women but not Asian men. Black individuals were more likely to be initiated on biological and targeted synthetic DMARDs than White individuals (1·54 [1·10-2·16]; p=0·012), which became non-significant after adjusting for baseline disease severity and autoantibody status. INTERPRETATION: The initiation of biological and targeted synthetic DMARDs for patients with newly diagnosed rheumatoid arthritis varies markedly by ethnicity and age in the universal health-care system of England and Wales. This study demonstrates the importance of providing tailored information and ensuring equitable access to high-quality care for underserved patient groups. The one-size-fits-all approach must be reconsidered if health disparities are to be mitigated effectively. FUNDING: Sandoz UK.

No Waning of Pneumococcal Vaccine Responses over Time in People with Inflammatory Arthritis: Findings from a Single Centre Cohort.

BACKGROUND: Vaccination against pneumococcus reduces the risk of infective events, hospitalisation, and death in individual with inflammatory arthritis, particularly in those on immunomodulating therapy who are at risk of worse outcomes from pneumococcal disease. The objective of this study was to investigate the serological protection following vaccination against pneumococcal serovars over time. Methods: This was a single centre, retrospective cohort study of individuals with rheumatoid arthritis, psoriatic arthritis, or axial spondylarthritis who had previously received the PPSV23 polysaccharide pneumococcal vaccine (Pneumovax). Data were retrieved between January 2021 to August 2023. Dates of previous pneumococcal vaccination were identified using linked primary care records. Serum serotype levels were collected. The primary outcome was serological response defined as a titre ≥0.35 mcg/mL in at least five from a total of 12 evaluated pneumococcal serovars, examined using a Luminex platform. Multivariate logistic regression models adjusting for age, gender, ethnicity, co-morbidities, and the use of prednisolone, conventional synthetic and biological DMARDs were used to determine the odds of a sustained serological response according to time categorised into ≤5 years, 5-10 years, and ≥10 years since vaccination. Results: Serological response was measured in 296 individuals with inflammatory arthritis, with rheumatoid arthritis the most common diagnosis (74% of patients). The median time between pneumococcal vaccine administration and serological assessment was 6 years (interquartile range 2.4 to 9.9). A positive serological response to at least 5 serovars was present in 195/296 (66%) of patients. Time since vaccination did not significantly associate with serological protection compared with those vaccinated <5 years, the adjusted ORs of vaccine response was 1.15 (95% CI 0.64 to 2.07) in those 5-10 years and 1.26 (95% CI: 0.64 to 2.48) in those vaccinated over 10 years ago. No individual variable from the multivariate model reached statistical significance as an independent predictor of vaccine response, although steroid use at the time of vaccine had a consistent detrimental impact on serological immunity. Conclusions: We demonstrated that antibody titres following vaccination against pneumococcal serovars do not appear to wane over time. It appears more critical to focus on maximising the initial vaccine response, which is known to be diminished in this patient population.

A Systematic Review and Meta-Analysis of Anti-Rheumatic Drugs and Pneumococcal Vaccine Immunogenicity in Inflammatory Arthritis.

BACKGROUND: Pneumococcal pneumonia is an important cause of morbidity and mortality amongst patients with inflammatory arthritis. Vaccination is recommended by the National Institute for Health and Care Excellence (NICE) but it remains unclear how vaccine efficacy is impacted by different immunosuppressive agents. Our objective was to compare the chance of a seroconversion following vaccination against pneumococcus in patients with inflammatory arthritis to that in the general population, as well as to compare the chance of seroconversion across different targeted therapies. METHODS: We searched MEDLINE, Embase and the Cochrane Library databases from inception until 20 June 2023. We included randomized controlled trials and observational studies. Aggregate data were used to undertake a pairwise meta-analysis. Our primary outcome of interest was vaccine seroconversion. We accepted the definition of serological response reported by the authors of each study. RESULTS: Twenty studies were identified in the systematic review (2807 patients) with ten reporting sufficient data to be included in the meta-analysis (1443 patients). The chance of seroconversion in patients receiving targeted therapies, relative to the general population, was 0.61 (95% CI 0.35 to 1.08). The reduced odds of response were skewed strongly by the effects of abatacept and rituximab with no difference between patients on TNF inhibitors (TNFis) or IL-6 inhibition and healthy controls. Within different inflammatory arthritis populations the findings remained consistent, with rituximab having the strongest negative impact on vaccine response. TNF inhibition monotherapy was associated with a greater chance of vaccine response compared with methotrexate (2.25 (95% CI 1.28 to 3.96)). JAK inhibitor (JAKi) studies were few in number and did not present comparable vaccine response endpoints to include in the meta-analysis. The information available does not suggest any significant detrimental effects of JAKi on vaccine response. CONCLUSION: This updated meta-analysis confirms that, for most patients with inflammatory arthritis, pneumococcal vaccine can be administered with confidence and that it will achieve comparable seroconversion rates to the healthy population. Patients on rituximab were the group least likely to achieve a response and further research is needed to explore the value of multiple-course pneumococcal vaccination schedules in this population.

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

BACKGROUND: Gout 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. METHODS: With 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). FINDINGS: From 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. INTERPRETATION: Using 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. FUNDING: None.

The infection risks of JAK inhibition.

INTRODUCTION: Janus Kinase inhibitors (JAKi) have shown to be highly effective in the treatment of immune-mediated inflammatory diseases. As with all immunomodulatory therapies, careful assessment of any treatment-associated infection risk is essential to inform clinical decision-making. AREAS COVERED: We summarize current literature on infection rates among the licensed JAKi using published phase II/III trial results, post-licensing and registry data. EXPERT OPINION: licensed JAKi show increased risk of infection across the class compared to placebo, most commonly affecting respiratory and urinary tracts, nasopharynx and skin. This risk is dose-dependent. Risks are similar at licensed JAKi doses to that seen with biologic therapies. The risk is compounded by other risk factors for infection, such as age and steroid co-prescription. Herpes zoster reactivation is more common with JAKi compared to other targeted immune modulation, making screening for varicella exposure and vaccination in appropriate cohorts an advisable strategy. Crucially, these small risk increases must be balanced against the known harms (including infection) of uncontrolled autoimmune disease. JAKi are a safe and potentially transformative treatment when used for appropriately selected patients.

Hospitalizations for Acute Gout: Process Mapping the Inpatient Journey and Identifying Predictors of Admission.

OBJECTIVE: To identify predictors of admission following emergency department (ED) attendances for gout flares and to describe barriers to optimal inpatient gout care. METHODS: ED attendances and hospital admissions with primary diagnoses of gout were analyzed at 2 UK-based hospitals between January 1, 2017, and December 31, 2020. Demographic and clinical predictors of ED disposition (admission or discharge) and reattendance for gout flares were identified using logistic regression and survival models, respectively. Case note reviews (n = 59), stakeholder meetings, and process mapping were performed to capture detailed information on gout management and to identify strategies to optimize care. RESULTS: Of 1220 emergency attendances for gout flares, 23.5% required hospitalization (median length of stay: 3.6 days). Recurrent attendances for flares occurred in 10.4% of patients during the study period. In multivariate logistic regression models, significant predictors of admission from ED were older age, overnight ED arrival time, higher serum urate (SU), higher C-reactive protein, and higher total white cell count at presentation. Detailed case note reviews showed that only 22.6% of patients with preexisting gout were receiving urate-lowering therapy (ULT) at presentation. Initial diagnostic uncertainty was common, yet rheumatology input and synovial aspirates were rarely obtained. By 6 months postdischarge, 43.6% were receiving ULT; however, few patients had treat-to-target dose optimization, and only 9.1% achieved SU levels ≤ 360 µmol/L. CONCLUSION: We identified multiple predictors of hospitalization for acute gout. Treat-to-target optimization of ULT following hospitalization remains inadequate and must be improved if admissions are to be prevented.

Incidence and management of inflammatory arthritis in England before and during the COVID-19 pandemic: a population-level cohort study using OpenSAFELY.

Background: The impact of the COVID-19 pandemic on the incidence and management of inflammatory arthritis is not understood. Routinely captured data in secure platforms, such as OpenSAFELY, offer unique opportunities to understand how care for patients with inflammatory arthritis was impacted upon by the pandemic. Our objective was to use OpenSAFELY to assess the effects of the pandemic on diagnostic incidence and care delivery for inflammatory arthritis in England and to replicate key metrics from the National Early Inflammatory Arthritis Audit. Methods: In this population-level cohort study, we used primary care and hospital data for 17·7 million adults registered with general practices using TPP health record software, to explore the following outcomes between April 1, 2019, and March 31, 2022: (1) incidence of inflammatory arthritis diagnoses (rheumatoid arthritis, psoriatic arthritis, axial spondyloarthritis, and undifferentiated inflammatory arthritis) recorded in primary care; (2) time to first rheumatology assessment; (3) time to first prescription of a disease-modifying antirheumatic drug (DMARD) in primary care; and (4) choice of first DMARD. Findings: Among 17 683 500 adults, there were 31 280 incident inflammatory arthritis diagnoses recorded between April 1, 2019, and March 31, 2022. The mean age of diagnosed patients was 55·4 years (SD 16·6), 18 615 (59·5%) were female, 12 665 (40·5%) were male, and 22 925 (88·3%) of 25 960 with available ethnicity data were White. New inflammatory arthritis diagnoses decreased by 20·3% in the year commencing April, 2020, relative to the preceding year (5·1 vs 6·4 diagnoses per 10 000 adults). The median time to first rheumatology assessment was shorter during the pandemic (18 days; IQR 8-35) than before (21 days; 9-41). The proportion of patients prescribed DMARDs in primary care was similar before and during the pandemic; however, during the pandemic, fewer people were prescribed methotrexate or leflunomide, and more were prescribed sulfasalazine or hydroxychloroquine. Interpretation: Inflammatory arthritis diagnoses decreased markedly during the early phase of the pandemic. The impact on rheumatology assessment times and DMARD prescribing in primary care was less marked than might have been anticipated. This study demonstrates the feasibility of using routinely captured, near real-time data in the secure OpenSAFELY platform to benchmark care quality on a national scale, without the need for manual data collection. Funding: None.

Deep learning for detecting tumour-infiltrating lymphocytes in testicular germ cell tumours.

AIMS: To evaluate if a deep learning algorithm can be trained to identify tumour-infiltrating lymphocytes (TILs) in tissue samples of testicular germ cell tumours and to assess whether the TIL counts correlate with relapse status of the patient. METHODS: TILs were manually annotated in 259 tumour regions from 28 whole-slide images (WSIs) of H&E-stained tissue samples. A deep learning algorithm was trained on half of the regions and tested on the other half. The algorithm was further applied to larger areas of tumour WSIs from 89 patients and correlated with clinicopathological data. RESULTS: A correlation coefficient of 0.89 was achieved when comparing the algorithm with the manual TIL count in the test set of images in which TILs were present (n=47). In the WSI regions from the 89 patient samples, the median TIL density was 1009/mm2. In seminomas, none of the relapsed patients belonged to the highest TIL density tertile (>2011/mm2). TIL quantifications performed visually by three pathologists on the same tumours were not significantly associated with outcome. The average interobserver agreement between the pathologists when assigning a patient into TIL tertiles was 0.32 (Kappa test) compared with 0.35 between the algorithm and the experts, respectively. A higher TIL density was associated with a lower clinical tumour stage, seminoma histology and lack of lymphovascular invasion. CONCLUSIONS: Deep learning-based image analysis can be used for detecting TILs in testicular germ cell cancer more objectively and it has potential for use as a prognostic marker for disease relapse.