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Objective: Rheumatoid arthritis [RA) is a chronic inflammatory disease, with potential for extra-articular manifestations (ExRA). The incidence and predisposing factors for ExRA and the mortality were evaluated in an early RA inception cohort.

Methods: Patients (n = 1468; 69 % females, mean age (SD) 57.3(16.3) years) were consecutively included at the date of diagnosis, between 1 January 1996 and 31 December 2016, and assessed prospectively. In December 2016 development of ExRA was evaluated by a patient questionnaire and a review of medical records. Cumulative incidence and incidence rates were compared between 5-year periods and between patients included before and after 1 January 2001. Cox proportional hazard regression models were used to identify predictors for ExRA, and models with ExRA as time-dependent variables to estimate the mortality.

Results: After a mean (SD) follow-up of 9.3(4.9) years, 238 cases (23.3 %) had ExRA and 151 (14.7 %) had ExRA without rheumatoid nodules. Most ExRA developed within 5 years from diagnosis. Rheumatoid nodules (10.5 %) and keratoconjunctivitis sicca (7.1 %) were the most frequent manifestations, followed by pulmonary fibrosis (6.1 %). The ExRA incidence among more recently diagnosed patients was similar as to the incidence among patients diagnosed before 2001. Seropositivity, smoking and early biological treatment were associated with development of ExRA. After 15 years 20 % had experienced ExRA. ExRA was associated with increased mortality, HR 3.029 (95 % CI 2.177–4.213).

Conclusions: Early development of ExRA is frequent, particularly rheumatoid nodules. Predisposing factors were age, RF positivity, smoking and early biological treatment. The patients with ExRA had a 3-fold increase in mortality.

Objectives: To estimate short-term risks of acute coronary syndrome (ACS) in patients with rheumatoid arthritis (RA) as a function of current RA disease activity including remission.

Methods: Data from clinical visits of RA patients in Sweden (SE) and Norway (NO) between January 1st 2012 until December 31st 2020 were used. At each visit, patient's disease activity was assessed including remission status (measured with several metrics). Through linkage to national health and death registers, patients were followed up for incident ACS up to six months from each visit. We compared the short-term risk of ACS in patients not in remission vs. in remission using Cox regression analyses with robust standard errors, adjusted for country and covariates (e.g., age, sex, prednisolone use, comorbidities). We also explored disease activity categories as exposure.

Results: We included 212,493 visits (10,444 from Norway and 202,049 from Sweden) among 41,250 patients (72% women, mean age at visit 62 years). During the 6-month follow-ups, we observed 524 incident ACS events. Compared to patients in remission, patients currently not in remission had an increased rate of ACS: adjusted hazard ratio (95% confidence interval) 1.52 (1.24–1.85) with DAS28 metric. The crude absolute six-month risks were 0.2% for patients in remission vs. 0.4% for patients with DAS28 high disease activity. The use of alternative RA disease activity and remission metrics provided similar results.

Conclusion: Failure to reach remission is associated with elevated short-term risks of ACS, underscoring the need for CV risk factor optimization in these patients.

Objectives: Normal age-related decline and temporary restrictions in mobility complicate the understanding of spinal mobility deterioration over time in patients with ankylosing spondylitis (AS). In this study, we aimed to determine whether spinal mobility deterioration occurred linearly in patients with AS. We also aimed to compare patterns of change with corresponding age-related normal values and analyze variations in temporary fluctuations in mobility measurements over time.

Methods: We included 111 men and 30 women (median age 20.9 years at symptom onset), who were followed for median 34 years since symptom onset. This resulted in 9 697 spinal mobility measurements for analysis. Individual linear regression models for development of lateral spinal flexion (LSF), 10 cm Schober test (ST10), chest expansion (CE), and cervical rotation (CR) were analyzed and compared with normal age-related decline over time.

Results: The median values for the constants of all measurements were significantly lower than the norm data. However, LSF, ST10, and CE followed a yearly linear decline comparable to the norm data, whereas CR declined about twice as fast as expected from the norm data (beta median [25th-75th percentile]: -0.62° [-1.16°, -0.22°] and -0.35° [-0.35°, -0.35°]), respectively. Temporary fluctuations in LSF and CE were significantly higher during the early phase of the disease, with decreasing residuals over time.

Conclusion: Based on median constants of our data, mobility restrictions related to AS seem to mainly occur during the first years of disease, indicating a narrow window of opportunity for prevention.

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.

OBJECTIVES: To investigate the association between psychosocial vulnerability, defined as either low social support or low decision latitude at work, and disease remission at 3, 12, and 60 months in patients with rheumatoid arthritis (RA).

METHODS: This cohort study included all patients enrolled in both the Swedish Epidemiological Investigation of Rheumatoid Arthritis (EIRA) 1996-2015 and the Swedish Rheumatology Quality Register (SRQ, n = 2820). Information on social support and decision latitude at work at RA diagnosis were identified from the EIRA questionnaire. Indexes for levels of social support and decision latitude at work, respectively, were calculated based on the questionnaire. Low social support and low decision latitude at work, respectively, were identified by a score in the lowest quartile and compared with the three other quartiles (not low). Disease-activity parameters were retrieved from SRQ at 3, 12, and 60 months. The associations between social support or decision latitude at work, respectively, and Disease Activity Score 28 joint count with C-reactive protein (DAS28-CRP) remission were analysed using logistic regression models adjusted for age, sex, smoking habits, alcohol habits, symptom duration, and educational level.

RESULTS: Having low social support (n = 591) was not associated with DAS28-CRP remission at 3 (OR 0.93, 95% CI 0.74-1.16), 12 (OR 0.96, 95%CI 0.75-1.23), or 60 (OR 0.89, 95%CI 0.72-1.10) months compared to not low social support (n = 2209). No association was observed for low (n = 212) versus not low (n = 635) decision latitude at work and DAS28-CRP remission at 3 (OR 0.84, 95%CI 0.54-1.31), 12 (OR 0.81, 95%CI 0.56-1.16), or 60 (OR 1.37, 95%CI 0.94-2.01) months.

CONCLUSION: In a country with general access to healthcare, psychosocial vulnerability does not influence the likelihood of achieving remission in early RA.

OBJECTIVES: Pulmonary manifestations in RA are common comorbidities. Interstitial lung disease (ILD), both idiopathic and in RA, has been associated with several genetic variants. We assessed pulmonary fibrosis (PF) in an inception cohort of RA patients in relation to genetic variants and disease-related factors.

METHODS: A total of 1466 early RA patients were consecutively included and followed prospectively from the index date until death or 31 December 2016. Clinical and laboratory data and treatment were continuously registered according to the Swedish Rheumatology Quality Register. DNA was available from 1184 patients and 571 151 genome-wide single-nucleotide polymorphisms (SNPs) were analysed. Thirteen identified genetic variants were extracted. At follow-up, the patients answered a questionnaire regarding disease progression and lung involvement that was validated by reviewing medical records and analysing radiological examinations.

RESULTS: The prevalence of PF was 5.6% and the annualized incidence rate was 5.0/1000 (95% CI 3.80, 6.54). Four SNPs were associated with PF in RA: rs35705950 [MUC5B; OR 2.5 (95% CI 1.5, 4.0), adjusted P-value = 0.00016, q-value = 0.0021]; rs111521887 [TOLLIP; OR 1.9 (95% CI 1.3, 2.8), adjusted P-value = 0.0014, q-value = 0.0092]; rs2609255 [FAM13A; OR 1.7 (95% CI 1.1, 2.5), adjusted P-value = 0.013, q-value = 0.055] and rs2736100 [TERT; OR 1.5 (95% CI 1.0, 2.2), adjusted P-value = 0.046, q-value = 0.15]. Older age and RF positivity were associated with increased risk, while MTX treatment was associated with a lower risk of PF.

CONCLUSIONS: Development of PF in an inception cohort of RA patients was associated with 4 of 12 ILD risk genes. RA-related factors except for age at diagnosis and RF positivity were of limited importance in PF development.

Objectives: To compare the 1-year, 2-year and 5-year incidences of acute coronary syndrome (ACS) in patients with rheumatoid arthritis (RA) starting any of the biologic disease-modifying antirheumatic drugs (bDMARDs) currently available in clinical practice and to anchor these results with a general population comparator.

Methods: Observational cohort study, with patients from Denmark, Finland, Norway and Sweden starting a bDMARD during 2008-2017. Time to first ACS was identified through register linkages. We calculated the 1-year, 2-year and 5-year incidence rates (IR) (on drug and ever since treatment start) and used Cox regression (HRs) to compare ACS incidences across treatments taking ACS risk factors into account. Analyses were further performed separately in subgroups defined by age, number of previous bDMARDs and history of cardiovascular disease. We also compared ACS incidences to an individually matched general population cohort.

Results: 24 083 patients (75% women, mean age 56 years) contributing 40 850 treatment courses were included. During the maximum (5 years) follow-up (141 257 person-years (pyrs)), 780 ACS events occurred (crude IR 5.5 per 1000 pyrs). Overall, the incidence of ACS in RA was 80% higher than that in the general population. For all bDMARDs and follow-up definitions, HRs were close to 1 (etanercept as reference) with the exception of the 5-year risk window, where signals for abatacept, infliximab and rituximab were noted.

Conclusion: The rate of ACS among patients with RA initiating bDMARDs remains elevated compared with the general population. As used in routine care, the short-term, intermediate-term and longer-term risks of ACS vary little across individual bDMARDs.

OBJECTIVE: Ankylosing spondylitis (AS) is associated with an elevated risk of cardiovascular disease (CVD) related to atherosclerosis, preceded by arterial stiffness. We aimed to examine common carotid artery (CCA) biomechanical properties using ultrasound to calculate β stiffness index (indicating arterial stiffness) and, a more recently developed technique, two-dimensional (2D) speckle tracking strain (indicating arterial motion and deformation, strain) to 1) compare with age- and sex-matched controls and to 2) analyze relationships between strain and stiffness with disease characteristics and traditional risk factors for CVD in AS patients.

METHODS: In this cross-sectional study, a cohort of 149 patients with AS, mean age 55.3±11.2 years, 102(68.5%) men, 146 (98%) HLA-B27 positive, were examined. Bilateral CCAs were examined for circumferential 2D strain and β stiffness index. A subgroup of 46 patients were compared with 46 age- and sex-matched controls, both groups without hypertensive disease, diabetes, myocardial infarction or stroke.

RESULTS: Mean bilateral circumferential 2D strain was lower in AS patients compared with controls, 7.9±2.6% vs 10.3±1.9%, p<0.001 whereas mean bilateral β stiffness index was higher, 13.1±1.6mmHg/mm vs 12.3±1.3mmHg/mm, p=0.018. In multivariable linear regression analyses strain was associated with age, erythrocyte sedimentation rate, history of anterior uveitis and treatment with csDMARD and/or bDMARD (R2 0.33), while stiffness was associated with age (R2 0.19).

CONCLUSION: Both CCA circumferential 2D strain and β stiffness index differed between AS patients and controls. Strain was associated with AS-related factors and age while stiffness with age, suggesting that the obtained results reflect different pathogenic vascular processes.