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.

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.

Skeletal muscles and Covid-19: a systematic review of rhabdomyolysis and myositis in SARS-CoV-2 infection.

OBJECTIVES: Myalgia is a widely publicised feature of Covid-19, but severe muscle injury can occur. This systematic review summarises relevant evidence for skeletal muscle involvement in Covid-19. METHODS: A systematic search of OVID and Medline databases was conducted on 16/3/2021 and updated on 28/10/2021 to identify case reports or observational studies relating to skeletal muscle manifestations of Covid-19 (PROSPERO: CRD42020198637). Data from rhabdomyolysis case reports were combined and summary descriptive statistics calculated. Data relating to other manifestations were analysed for narrative review. RESULTS: 1920 articles were identified. From these, 61 case reports/series met inclusion criteria, covering 86 rhabdomyolysis cases. Median age of rhabdomyolysis patients was 50 years, (range 6-89). 49% had either hypertension, diabetes mellitus or obesity. 77% were male. Symptoms included myalgia (74%), fever (69%), cough (59%), dyspnoea (68%). Median peak CK was 15,783U/L. 28% required intravenous haemofiltration and 36% underwent mechanical ventilation. 62% recovered to discharge and 30% died. Dyspnoea, elevated CRP and need for intravenous haemofiltration increased risk of fatal outcome. Additional articles relating to skeletal muscular pathologies include 6 possible concomitant diagnoses or relapses of idiopathic inflammatory myopathies and 10 reports of viral-induced muscle injuries without rhabdomyolysis. Localised myositis and rhabdomyolysis with SARS-CoV-2 vaccination have been reported. CONCLUSIONS: Rhabdomyolysis is an infrequent but important complication of Covid-19. Increased mortality was associated with a high CRP, renal replacement therapy and dyspnoea. The idiopathic inflammatory myopathies (IIM) may have viral environmental triggers. However, to date the limited number of case reports do not confirm an association with Covid-19.

Incidence of Uveitis in Patients With Axial Spondylarthritis Treated With Biologics or Targeted Synthetics: A Systematic Review and Network Meta-Analysis.

OBJECTIVE: Anterior uveitis is a common extra-articular manifestation of axial spondyloarthritis (AxSpA). We set to evaluate the risk of anterior uveitis (AU) with biologics and synthetic disease-modifying drugs in AxSpA. METHODS: We conducted a systematic review and meta-analysis to identify phase II/III double-blinded randomized controlled trials of anti-tumor necrosis factor (TNF) monoclonal antibodies (mAb), anti-interleukin-17 (anti-IL-17), and Janus kinase inhibitors (JAKi) in AxSpA. Patient-exposure years (PEY) were calculated using the per-protocol approach. Incidence rate (IR) of AU/100 person-years were calculated by treatment group using the random effects approach. Network meta-analysis (NMA) was used to estimate risk of AU in treatment groups, expressed as IR ratios (IRRs). Bias was assessed using the Cochrane Risk of Bias-2 tool. RESULTS: Forty-four trials were included: 17 anti-TNF mAb (1,004 PEY), 9 etanercept (180 PEY), 13 anti-IL-17 (1,834 PEY), and 6 JAKi (331 PEY). The IR of AU were as follows for anti-TNF mAb: 4.1, 95% confidence interval (CI) 0-8.5; etanercept: 5.4, 95% CI 0-16.0; anti-IL-17: 2.8, 95% CI 1.6-4.1; JAKi: 1.5, 95% CI 0.0-3.0; and placebo: 10.8, 95% CI 7.4-14.1. In NMA, IRRs of treatments compared with placebo were as follows for anti-TNF mAb: 0.32, 95% CI 0.10-1.04; etanercept 0.42, 95% CI 0.08-2.38; anti-IL-17: 0.43, 95% CI 0.19-0.98; and JAKi: 0.32, 95% CI 0.06-1.67. Comparisons between anti-TNF mAb, anti-IL-17, and JAKi did not demonstrate any significant difference in AU risk. Using the surface under the cumulative ranking curve approach to rank AU risk, anti-TNF mAbs were associated with the lowest risk followed by JAKi, anti-IL-17, and etanercept. All treatments were ranked superior to placebo. CONCLUSION: Anti-TNF mAbs, JAKi, and anti-IL-17 appear protective against AU events in individuals with AxSpA, with no significant differences in risk of AU between treatments.

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.

Online Patient-Reported Outcome Measure Engagement Is Dependent on Demographics and Locality: Findings From an Observational Cohort.

OBJECTIVE: Online patient-reported outcome measures (PROMs) enable remote collection of perceptions of health status, function, and well-being. We aimed to explore patterns of PROM completion in patients with early inflammatory arthritis (EIA) recruited to the National Early Inflammatory Arthritis Audit (NEIAA). METHODS: NEIAA is an observational cohort study design; we included adults from this cohort with a new diagnosis of EIA from May 2018 to March 2020. The primary outcome was PROM completion at baseline, 3 months, and 12 months. Mixed effects logistic regression and spatial regression models were used to identify associations between demographics (age, gender, ethnicity, deprivation, smoking, and comorbidity), clinical commissioning groups, and PROM completion. RESULTS: Eleven thousand nine hundred eighty-six patients with EIA were included, of whom 5331 (44.5%) completed at least 1 PROM. Patients from ethnic minority backgrounds were less likely to return a PROM (adjusted odds ratio [aOR] 0.57, 95% CI 0.48-0.66). Greater deprivation (aOR 0.73, 95% CI 0.64-0.83), male gender (aOR 0.86, 95% CI 0.78-0.94), higher comorbidity burden (aOR 0.95, 95% CI 0.91-0.99), and current smoker status (aOR 0.73, 95% CI 0.64-0.82) also reduced odds of PROM completion. Spatial analysis identified 2 regions with high (North of England) and low (Southeast of England) PROM completion. CONCLUSION: We define key patient characteristics (including ethnicity) that influence PROM engagement using a national clinical audit. We observed an association between locality and PROM completion, with varying response rates across regions of England. Completion rates could benefit from targeted education for these groups.

A Systematic Review and Metaanalysis of Predictors of Mortality in Idiopathic Inflammatory Myopathy-Associated Interstitial Lung Disease.

OBJECTIVE: Idiopathic inflammatory myopathy (IIM)-associated interstitial lung disease (ILD) can range from rapidly progressive disease with high mortality to indolent disease with minimal morbidity. This systematic review and metaanalysis describe immunological, clinical, and radiographical predictors of mortality in IIM-ILD. METHODS: MEDLINE and Embase database searches were completed on October 18, 2021, to identify articles providing survival data according to baseline characteristics in patients with concurrent IIM and ILD. Prognostic factors common to more than 5 papers were included in the metaanalysis using a random-effects model to report odds ratios (ORs) for binary variables and Hedges g for continuous variables. Risk of bias was assessed using the Newcastle-Ottawa Scale score and the Egger test for publication bias. RESULTS: From 4433 articles, 62 papers were suitable for inclusion; among these studies, 38 different variables were considered. The OR for risk of death regarding the presence of anti-melanoma differentiation-associated protein 5 (MDA5) antibodies was 6.20 (95% CI 3.58-10.71), and anti-tRNA synthetase antibodies were found to be protective (OR 0.24, 95% CI 0.14-0.41). Neither antinuclear antibodies, anti-52-kDa Ro antigen antibodies, nor SSA significantly altered mortality, nor was MDA5 titer predictive. Examples of prognostic factors that are significantly associated with mortality in this study include the following: age; male sex; acute/subacute onset; clinically amyopathic dermatomyositis; dyspnea; ulceration; fever; raised C-reactive protein, ferritin, lactate dehydrogenase, alveolar to arterial O2 (A-aO2) gradient, ground-glass opacity on high-resolution computed tomography (HRCT), and overall HRCT score; and reduced albumin, lymphocytes, ratio of partial pressure of oxygen in the arterial blood to fraction of inspired oxygen (PF ratio), percentage predicted transfer factor for carbon monoxide, and percentage predicted forced vital capacity. Baseline surfactant protein-D and Krebs von den Lungen-6 levels were not predictors of mortality. CONCLUSION: Many mortality risk factors were identified, though heterogeneity was high, with a low quality of evidence and a risk of publication bias. Studies regarding anti-MDA5 antibody-positive disease and and those from East Asia predominate, which could mask risk factors relevant to other IIM subgroups or populations.

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.

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.

Inpatient COVID-19 mortality has reduced over time: Results from an observational cohort.

BACKGROUND: The Covid-19 pandemic in the United Kingdom has seen two waves; the first starting in March 2020 and the second in late October 2020. It is not known whether outcomes for those admitted with severe Covid were different in the first and second waves. METHODS: The study population comprised all patients admitted to a 1,500-bed London Hospital Trust between March 2020 and March 2021, who tested positive for Covid-19 by PCR within 3-days of admissions. Primary outcome was death within 28-days of admission. Socio-demographics (age, sex, ethnicity), hypertension, diabetes, obesity, baseline physiological observations, CRP, neutrophil, chest x-ray abnormality, remdesivir and dexamethasone were incorporated as co-variates. Proportional subhazards models compared mortality risk between wave 1 and wave 2. Cox-proportional hazard model with propensity score adjustment were used to compare mortality in patients prescribed remdesivir and dexamethasone. RESULTS: There were 3,949 COVID-19 admissions, 3,195 hospital discharges and 733 deaths. There were notable differences in age, ethnicity, comorbidities, and admission disease severity between wave 1 and wave 2. Twenty-eight-day mortality was higher during wave 1 (26.1% versus 13.1%). Mortality risk adjusted for co-variates was significantly lower in wave 2 compared to wave 1 [adjSHR 0.49 (0.37, 0.65) p<0.001]. Analysis of treatment impact did not show statistically different effects of remdesivir [HR 0.84 (95%CI 0.65, 1.08), p = 0.17] or dexamethasone [HR 0.97 (95%CI 0.70, 1.35) p = 0.87]. CONCLUSION: There has been substantial improvements in COVID-19 mortality in the second wave, even accounting for demographics, comorbidity, and disease severity. Neither dexamethasone nor remdesivir appeared to be key explanatory factors, although there may be unmeasured confounding present.

Systematic Review and Metaanalysis of the Reproducibility of Patient Self-reported Joint Counts in Rheumatoid Arthritis.

OBJECTIVE: To assess the reproducibility of patient-reported tender (TJCs) and swollen joint counts (SJCs) of patients with rheumatoid arthritis (RA) compared to trained clinicians. METHODS: We conducted a systematic literature review and metaanalysis of studies comparing patient-reported TJCs and/or SJCs to clinician counts in patients with RA. We calculated pooled summary estimates for correlation. Agreement was compared using a Bland-Altman approach. RESULTS: Fourteen studies were included in the metaanalysis. There were strong correlations between clinician and patient TJCs (0.78, 95% CI 0.76-0.80), and clinician and patient SJCs (0.59, 95% CI 0.54-0.63). TJCs had good reliability, ranging from 0.51 to 0.85. SJCs had moderate reliability, ranging from 0.28 to 0.77. Agreement for TJCs reduced for higher TJC values, suggesting a positive bias for self-reported TJCs, which was not observed for SJCs. CONCLUSION: Our metaanalysis has identified a strong correlation between patient- and clinician-reported TJCs, and a moderate correlation for SJCs. Patient-reported joint counts may be suitable for use in annual review for patients in remission and in monitoring treatment response for patients with RA. However, they are likely not appropriate for decisions on commencement of biologics. Further research is needed to identify patient groups in which patient-reported joint counts are unsuitable.

IL-6 inhibition in the treatment of COVID-19: A meta-analysis and meta-regression.

OBJECTIVES: Multiple RCTs of interleukin-6 (IL-6) inhibitors in COVID-19 have been published, with conflicting conclusions. We performed a meta-analysis to assess the impact of IL-6 inhibition on mortality from COVID-19, utilising meta-regression to explore differences in study results. METHODS: Systematic database searches were performed to identify RCTs comparing IL-6 inhibitors (tocilizumab and sarilumab) to placebo or standard of care in adults with COVID-19. Meta-analysis was used to estimate the relative risk of mortality at 28 days between arms, expressed as a risk ratio. Within-study mortality rates were compared, and meta-regression was used to investigate treatment effect modification. RESULTS: Data from nine RCTs were included. The combined mortality rate across studies was 19% (95% CI: 18, 20%), ranging from 2% to 31%. The overall risk ratio for 28-day mortality was 0.90 (95% CI: 0.81, 0.99), in favour of benefit for IL-6 inhibition over placebo or standard of care, with low treatment effect heterogeneity: I2 0% (95% CI: 0, 53%). Meta-regression showed no evidence of treatment effect modification by patient characteristics. Trial-specific mortality rates were explained by known patient-level predictors of COVID-19 outcome (male sex, CRP, hypertension), and country-level COVID-19 incidence. CONCLUSIONS: IL-6 inhibition is associated with clinically meaningful improvements in outcomes for patients admitted with COVID-19. Long-term benefits of IL-6 inhibition, its effectiveness across healthcare systems, and implications for differing standards of care are currently unknown.