Gout and the COVID-19 pandemic.

PURPOSE OF REVIEW: This review gives an overview of recently published articles on COVID-19 and gout. RECENT FINDINGS: People with gout are likely to be at an increased risk of poor outcomes after COVID-19 infection due to comorbid cardiometabolic conditions. The effects of chronic hyperuricemia on trained immunity, and the hyperinflammatory state induced by gout itself may also play a role. Frequent courses of glucocorticoids for gout flares may be associated with adverse outcomes after COVID-19 infection and reduced immunogenicity to the COVID-19 vaccination. Similarities between the pathophysiology of gout flares and the dysregulated inflammatory response of severe COVID-19 have been identified. Medications used in the treatment of gout, including colchicine and interleukin-1 inhibitors, have shown promise in the treatment of COVID-19 in clinical trials. Overall, the COVID-19 pandemic has had a negative impact on gout care, with patients reporting more difficulty with disease control, accessing medications and healthcare, and poorer quality of life. SUMMARY: The COVID-19 pandemic has created many challenges for people with gout. At present, there is a lack of guidance on the management of gout during the pandemic and paucity of research assessing outcomes of COVID-19 infection in people with gout.

Equity Considerations in COVID-19 Vaccination Studies of Individuals With Autoimmune Inflammatory Rheumatic Diseases.

OBJECTIVE: We sought to examine the extent to which populations experiencing inequities were considered in studies of COVID-19 vaccination in individuals with autoimmune inflammatory rheumatic diseases (AIRDs). METHODS: We included all studies (n = 19) from an ongoing Cochrane living systematic review on COVID-19 vaccination in patients with AIRDs. We used the PROGRESS-Plus framework (place of residence, race/ethnicity, occupation, gender/sex, religion, education, socioeconomic status, and social capital, plus: age, multimorbidity, and health literacy) to identify factors that stratify health outcomes. We assessed equity considerations in relation to differences in COVID-19 baseline risk, eligibility criteria, description of participant characteristics and attrition, controlling for confounding factors, subgroup analyses, and applicability of findings. RESULTS: All 19 studies were cohort studies that followed individuals with AIRDs after vaccination. Three studies (16%) described differences in baseline risk for COVID-19 across age. Two studies (11%) defined eligibility criteria based on occupation and age. All 19 studies described participant age and sex. Twelve studies (67%) controlled for age and/or sex as confounders. Eight studies (47%) conducted subgroup analyses across at least 1 PROGRESS-Plus factor, most commonly age. Ten studies (53%) interpreted applicability in relation to at least 1 PROGRESS-Plus factor, most commonly age (47%), then ethnicity (16%), sex (16%), and multimorbidity (11%). CONCLUSION: Sex and age were the most frequently considered PROGRESS-Plus factors in studies of COVID-19 vaccination in individuals with AIRDs. The generalizability of evidence to populations experiencing inequities is uncertain. Future COVID-19 vaccine studies should report participant characteristics in more detail to inform guideline recommendations.

COVID-19 vaccine hesitancy in inflammatory arthritis patients: serial surveys from a large longitudinal national Australian cohort.

OBJECTIVES: To determine COVID-19 vaccine hesitancy rates in inflammatory arthritis patients and identify factors associated with changing vaccine hesitancy over time. METHODS: Prospective cohort study of inflammatory arthritis patients from community and public hospital outpatient rheumatology clinics enrolled in the Australian Rheumatology Association Database (ARAD). Two surveys were conducted, one immediately prior to (pre-pandemic) and then approximately one year after the start of the pandemic (follow-up). COVID-19 vaccine hesitancy was measured at follow-up and general vaccine hesitancy was inferred pre-pandemic; these were used to identify factors associated with fixed and changing vaccine beliefs, including sources of information and broader beliefs about medication. RESULTS: Of the 594 participants who completed both surveys, 74 (12%) were COVID-19 vaccine hesitant. This was associated with pre-pandemic beliefs about medications being harmful (p< 0.001) and overused (p= 0.002), with stronger beliefs resulting in vaccine hesitancy persistent over two time points (p= 0.008, p= 0.005). For those not vaccine hesitant pre-pandemic, the development of COVID-19 vaccine hesitancy was associated with a lower likelihood of seeking out vaccine information from healthcare professionals (p< 0.001). COVID-19 vaccine hesitancy was not associated with new influenza vaccine hesitancy (p= 0.138). CONCLUSION: In this study of vaccine beliefs before and during the COVID-19 pandemic, factors associated with COVID-19 vaccine hesitancy in inflammatory arthritis patients varied, depending on vaccine attitudes immediately prior to the start of the pandemic. Fixed beliefs reflected broader views about medications, while fluid beliefs were highly influenced by whether they sought out information from healthcare professionals, including rheumatologists.

Prevalence, risk factors, and outcomes of gout flare in patients hospitalized for PCR-confirmed COVID-19: A multicenter retrospective cohort study.

OBJECTIVE: The study aimed to describe the prevalence and outcomes of gout flare in patients with comorbid gout hospitalized for COVID-19. Factors associated with gout flare, and hospital length of stay were explored. METHODS: This retrospective cohort study included adults with comorbid gout who were hospitalized for PCR-confirmed COVID-19 between March 2020 and December 2021 in three hospitals in Thailand. Prevalence, characteristics, and outcomes of gout flare were described. Factors associated with gout flare were explored using LASSO selection and multivariate logistic regression. Association between gout flare and hospital length of stay was explored using multivariate linear regression. RESULTS: Among 8697 patients hospitalized for COVID-19, 146 patients with comorbid gout were identified and gout flare occurred in 26 (18%). Compared to those without flare, patients with gout flare had higher baseline serum urate and lower prevalence of use of urate-lowering therapy (ULT) and gout flare prophylaxis medications. One-third of gout flare episodes were treated with two or more anti-inflammatory medications. Logistic regression identified GOUT-36 rule ≥2, a predictive index for inpatient gout flare, as the only factor associated with gout flare (OR 5.46, 95%CI 1.18 to 25.37). Gout flare was found to be independently associated with hospital length of stay and added three days to hospital course. CONCLUSION: Gout flare occurred in 18% of patients with comorbid gout hospitalized for COVID-19 and added up to three days to hospital length of stay. Patients with suboptimal ULT appeared to be at high risk for gout flare during COVID-19 hospitalization.

Association Between Race/Ethnicity and COVID-19 Outcomes in Systemic Lupus Erythematosus Patients From the United States: Data From the COVID-19 Global Rheumatology Alliance.

OBJECTIVE: To determine the association between race/ethnicity and COVID-19 outcomes in individuals with systemic lupus erythematosus (SLE). METHODS: Individuals with SLE from the US with data entered into the COVID-19 Global Rheumatology Alliance registry between March 24, 2020 and August 27, 2021 were included. Variables included age, sex, race, and ethnicity (White, Black, Hispanic, other), comorbidities, disease activity, pandemic time period, glucocorticoid dose, antimalarials, and immunosuppressive drug use. The ordinal outcome categories were: not hospitalized, hospitalized with no oxygenation, hospitalized with any ventilation or oxygenation, and death. We constructed ordinal logistic regression models evaluating the relationship between race/ethnicity and COVID-19 severity, adjusting for possible confounders. RESULTS: We included 523 patients; 473 (90.4%) were female and the mean ± SD age was 46.6 ± 14.0 years. A total of 358 patients (74.6%) were not hospitalized; 40 patients (8.3%) were hospitalized without oxygen, 64 patients (13.3%) were hospitalized with any oxygenation, and 18 (3.8%) died. In a multivariable model, Black (odds ratio [OR] 2.73 [95% confidence interval (95% CI) 1.36-5.53]) and Hispanic (OR 2.76 [95% CI 1.34-5.69]) individuals had higher odds of more severe outcomes than White individuals. CONCLUSION: Black and Hispanic individuals with SLE experienced more severe COVID-19 outcomes, which is consistent with findings in the US general population. These results likely reflect socioeconomic and health disparities and suggest that more aggressive efforts are needed to prevent and treat infection in this population.

Environmental and societal factors associated with COVID-19-related death in people with rheumatic disease: an observational study.

Background: Differences in the distribution of individual-level clinical risk factors across regions do not fully explain the observed global disparities in COVID-19 outcomes. We aimed to investigate the associations between environmental and societal factors and country-level variations in mortality attributed to COVID-19 among people with rheumatic disease globally. Methods: In this observational study, we derived individual-level data on adults (aged 18-99 years) with rheumatic disease and a confirmed status of their highest COVID-19 severity level from the COVID-19 Global Rheumatology Alliance (GRA) registry, collected between March 12, 2020, and Aug 27, 2021. Environmental and societal factors were obtained from publicly available sources. The primary endpoint was mortality attributed to COVID-19. We used a multivariable logistic regression to evaluate independent associations between environmental and societal factors and death, after controlling for individual-level risk factors. We used a series of nested mixed-effects models to establish whether environmental and societal factors sufficiently explained country-level variations in death. Findings: 14 044 patients from 23 countries were included in the analyses. 10 178 (72·5%) individuals were female and 3866 (27·5%) were male, with a mean age of 54·4 years (SD 15·6). Air pollution (odds ratio 1·10 per 10 µg/m3 [95% CI 1·01-1·17]; p=0·0105), proportion of the population aged 65 years or older (1·19 per 1% increase [1·10-1·30]; p<0·0001), and population mobility (1·03 per 1% increase in number of visits to grocery and pharmacy stores [1·02-1·05]; p<0·0001 and 1·02 per 1% increase in number of visits to workplaces [1·00-1·03]; p=0·032) were independently associated with higher odds of mortality. Number of hospital beds (0·94 per 1-unit increase per 1000 people [0·88-1·00]; p=0·046), human development index (0·65 per 0·1-unit increase [0·44-0·96]; p=0·032), government response stringency (0·83 per 10-unit increase in containment index [0·74-0·93]; p=0·0018), as well as follow-up time (0·78 per month [0·69-0·88]; p<0·0001) were independently associated with lower odds of mortality. These factors sufficiently explained country-level variations in death attributable to COVID-19 (intraclass correlation coefficient 1·2% [0·1-9·5]; p=0·14). Interpretation: Our findings highlight the importance of environmental and societal factors as potential explanations of the observed regional disparities in COVID-19 outcomes among people with rheumatic disease and lay foundation for a new research agenda to address these disparities. Funding: American College of Rheumatology and European Alliance of Associations for Rheumatology.

Outcomes of COVID-19 in people with rheumatic and musculoskeletal disease in Ireland over the first 2 years of the pandemic.

BACKGROUND: Poor COVID-19 outcomes occur with higher frequency in people with rheumatic and musculoskeletal diseases (RMD). Better understanding of the factors involved is crucial to informing patients and clinicians regarding risk mitigation. AIM: To describe COVID-19 outcomes for people with RMD in Ireland over the first 2 years of the pandemic. METHODS: Data entered into the C19-GRA provider registry from Ireland between 24th March 2020 and 31st March 2022 were analysed. Differences in the likelihood of hospitalisation and mortality according to demographic and clinical variables were investigated. RESULTS: Of 237 cases included, 59.9% were female, 95 (41.3%) were hospitalised, and 22 (9.3%) died. Hospitalisation was more common with increasing age, gout, smoking, long-term glucocorticoid use, comorbidities, and specific comorbidities of cardiovascular and pulmonary disease, and cancer. Hospitalisation was less frequent in people with inflammatory arthritis and conventional synthetic or biologic disease-modifying antirheumatic drug use. Hospitalisation had a U-shaped relationship with disease activity, being more common in both high disease activity and remission. Mortality was more common with increasing age, gout, smoking, long-term glucocorticoid use, comorbidities, and specific comorbidities of cardiovascular disease, pulmonary disease, and obesity. Inflammatory arthritis was less frequent in those who died. CONCLUSION: Hospitalisation or death were more frequently experienced by RMD patients with increasing age, certain comorbidities including potentially modifiable ones, and certain medications and diagnoses amongst other factors. These are important 'indicators' that can help risk-stratify and inform the management of RMD patients.

Prolonged COVID-19 symptom duration in people with systemic autoimmune rheumatic diseases: results from the COVID-19 Global Rheumatology Alliance Vaccine Survey.

OBJECTIVE: We investigated prolonged COVID-19 symptom duration, defined as lasting 28 days or longer, among people with systemic autoimmune rheumatic diseases (SARDs). METHODS: We analysed data from the COVID-19 Global Rheumatology Alliance Vaccine Survey (2 April 2021-15 October 2021) to identify people with SARDs reporting test-confirmed COVID-19. Participants reported COVID-19 severity and symptom duration, sociodemographics and clinical characteristics. We reported the proportion experiencing prolonged symptom duration and investigated associations with baseline characteristics using logistic regression. RESULTS: We identified 441 respondents with SARDs and COVID-19 (mean age 48.2 years, 83.7% female, 39.5% rheumatoid arthritis). The median COVID-19 symptom duration was 15 days (IQR 7, 25). Overall, 107 (24.2%) respondents had prolonged symptom duration (≥28 days); 42/429 (9.8%) reported symptoms lasting ≥90 days. Factors associated with higher odds of prolonged symptom duration included: hospitalisation for COVID-19 vs not hospitalised and mild acute symptoms (age-adjusted OR (aOR) 6.49, 95% CI 3.03 to 14.1), comorbidity count (aOR 1.11 per comorbidity, 95% CI 1.02 to 1.21) and osteoarthritis (aOR 2.11, 95% CI 1.01 to 4.27). COVID-19 onset in 2021 vs June 2020 or earlier was associated with lower odds of prolonged symptom duration (aOR 0.42, 95% CI 0.21 to 0.81). CONCLUSION: Most people with SARDs had complete symptom resolution by day 15 after COVID-19 onset. However, about 1 in 4 experienced COVID-19 symptom duration 28 days or longer; 1 in 10 experienced symptoms 90 days or longer. Future studies are needed to investigate the possible relationships between immunomodulating medications, SARD type/flare, vaccine doses and novel viral variants with prolonged COVID-19 symptoms and other postacute sequelae of COVID-19 among people with SARDs.

Factors associated with severe COVID-19 in people with idiopathic inflammatory myopathy: results from the COVID-19 Global Rheumatology Alliance physician-reported registry.

OBJECTIVES: To investigate factors associated with severe COVID-19 in people with idiopathic inflammatory myopathy (IIM). METHODS: Demographic data, clinical characteristics and COVID-19 outcome severity of adults with IIM were obtained from the COVID-19 Global Rheumatology Alliance physician-reported registry. A 3-point ordinal COVID-19 severity scale was defined: (1) no hospitalisation, (2) hospitalisation (and no death) and (3) death. ORs were estimated using multivariable ordinal logistic regression. Sensitivity analyses were performed using a 4-point ordinal scale: (1) no hospitalisation, (2) hospitalisation with no oxygen (and no death), (3) hospitalisation with oxygen/ventilation (and no death) and 4) death. RESULTS: Of 348 patients, 48% were not hospitalised, 39% were hospitalised (and did not die) and 13% died. Older age (OR=1.59/decade, 95% CI 1.31 to 1.91), high disease activity (OR=3.50, 95% CI 1.25 to 9.83; vs remission), ≥2 comorbidities (OR=2.63, 95% CI 1.39 to 4.98; vs none), prednisolone-equivalent dose >7.5 mg/day (OR=2.40, 95% CI 1.09 to 5.28; vs no intake) and exposure to rituximab (OR=2.71, 95% CI 1.28 to 5.72; vs conventional synthetic disease-modifying antirheumatic drugs only) were independently associated with severe COVID-19. In addition to these variables, in the sensitivity analyses, male sex (OR range: 1.65-1.83; vs female) was also significantly associated with severe outcomes, while COVID-19 diagnosis after 1 October 2020 (OR range: 0.51-0.59; vs on/before 15 June 2020) was significantly associated with less severe outcomes, but these associations were not significant in the main model (OR=1.57, 95% CI 0.95 to 2.59; and OR=0.61, 95% CI 0.37 to 1.00; respectively). CONCLUSIONS: This is the first large registry data on outcomes of COVID-19 in people with IIM. Older age, male sex, higher comorbidity burden, high disease activity, prednisolone-equivalent dose >7.5 mg/day and rituximab exposure were associated with severe COVID-19. These findings will enable risk stratification and inform management decisions for patients with IIM.

Characteristics and Outcomes of People With Gout Hospitalized Due to COVID-19: Data From the COVID-19 Global Rheumatology Alliance Physician-Reported Registry.

OBJECTIVE: To describe people with gout who were diagnosed with coronavirus disease 2019 (COVID-19) and hospitalized and to characterize their outcomes. METHODS: Data on patients with gout hospitalized for COVID-19 between March 12, 2020, and October 25, 2021, were extracted from the COVID-19 Global Rheumatology Alliance registry. Descriptive statistics were used to describe the demographics, comorbidities, medication exposures, and COVID-19 outcomes including oxygenation or ventilation support and death. RESULTS: One hundred sixty-three patients with gout who developed COVID-19 and were hospitalized were included. The mean age was 63 years, and 85% were male. The majority of the group lived in the Western Pacific Region (35%) and North America (18%). Nearly half (46%) had two or more comorbidities, with hypertension (56%), cardiovascular disease (28%), diabetes mellitus (26%), chronic kidney disease (25%), and obesity (23%) being the most common. Glucocorticoids and colchicine were used pre-COVID-19 in 11% and 12% of the cohort, respectively. Over two thirds (68%) of the cohort required supplemental oxygen or ventilatory support during hospitalization. COVID-19-related death was reported in 16% of the overall cohort, with 73% of deaths documented in people with two or more comorbidities. CONCLUSION: This cohort of people with gout and COVID-19 who were hospitalized had high frequencies of ventilatory support and death. This suggests that patients with gout who were hospitalized for COVID-19 may be at risk of poor outcomes, perhaps related to known risk factors for poor outcomes, such as age and presence of comorbidity.

Development of a Prediction Model for COVID-19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry.

OBJECTIVE: Some patients with rheumatic diseases might be at higher risk for coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS). We aimed to develop a prediction model for COVID-19 ARDS in this population and to create a simple risk score calculator for use in clinical settings. METHODS: Data were derived from the COVID-19 Global Rheumatology Alliance Registry from March 24, 2020, to May 12, 2021. Seven machine learning classifiers were trained on ARDS outcomes using 83 variables obtained at COVID-19 diagnosis. Predictive performance was assessed in a US test set and was validated in patients from four countries with independent registries using area under the curve (AUC), accuracy, sensitivity, and specificity. A simple risk score calculator was developed using a regression model incorporating the most influential predictors from the best performing classifier. RESULTS: The study included 8633 patients from 74 countries, of whom 523 (6%) had ARDS. Gradient boosting had the highest mean AUC (0.78; 95% confidence interval [CI]: 0.67-0.88) and was considered the top performing classifier. Ten predictors were identified as key risk factors and were included in a regression model. The regression model that predicted ARDS with 71% (95% CI: 61%-83%) sensitivity in the test set, and with sensitivities ranging from 61% to 80% in countries with independent registries, was used to develop the risk score calculator. CONCLUSION: We were able to predict ARDS with good sensitivity using information readily available at COVID-19 diagnosis. The proposed risk score calculator has the potential to guide risk stratification for treatments, such as monoclonal antibodies, that have potential to reduce COVID-19 disease progression.

Minimal Impact of the COVID-19 Pandemic on Disease Activity and Health-Related Quality of Life in Patients With Ankylosing Spondylitis Receiving Bimekizumab: Exploratory Analyses From a Phase 2b Open-Label Extension Study.

OBJECTIVE: The impact of the COVID-19 pandemic on patients with inflammatory rheumatic diseases, such as ankylosing spondylitis (AS), has been variable. Here, we assess disease activity and health-related quality of life (HRQoL) through the pandemic in patients with AS. METHODS: In the open-label extension (OLE) of the phase 2b BE AGILE study, patients with AS received 160 mg of subcutaneous bimekizumab every 4 weeks. We assessed Ankylosing Spondylitis Disease Activity Score with C-reactive protein (ASDAS-CRP), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and Ankylosing Spondylitis Quality of Life (ASQoL) scores in the OLE immediately before and during the COVID-19 pandemic (September 2019 to April 2021). RESULTS: A total of 232 patients remained in the BE AGILE OLE and were included in this post hoc study at the start of the analysis period (September 1, 2019); 12 patients had a COVID-19 treatment-emergent adverse event, and no cases resulted in death. The number of missed bimekizumab doses due to COVID-19 (11 doses) was minimal, and missed assessments remained low (≤5%) compared with the prepandemic period. Mean ASDAS-CRP (1.8), BASDAI (2.4), and ASQoL scores (2.8) in the OLE were low at pre-pandemic baseline and remained stable at 1.7 to 1.8, 2.2 to 2.4, and 2.0 to 2.8, respectively, across successive 3-month periods immediately before and during the pandemic. ASDAS-CRP, BASDAI, and ASQoL stability was consistent across major study countries. CONCLUSION: Disease activity and HRQoL remained stable during the COVID-19 pandemic in patients with AS receiving bimekizumab in the BE AGILE OLE, with no indication of negative effects on these outcomes.