Search

Objective: To investigate the risk of gestational diabetes mellitus (GDM) associated with systemic lupus erythematosus (SLE) by comparing pregnancies in women with SLE to general population controls. Methods: We identified singleton pregnancies among women with SLE and general population controls in the Swedish Medical Birth Register (MBR; 2006???2016), sampled from the population-based Swedish Lupus Linkage (SLINK) cohort (1987???2012). SLE was defined by >_ 2 International Classification of Diseases (ICD)-coded visits in the National Patient Register (NPR) and MBR, with >_ 1 visit before pregnancy. GDM was defined by >_ 1 ICD-coded visit in the NPR or MBR. Glucocorticoid (GC) and hydroxychloroquine (HCQ) dispensations within 6 months before and during pregnancy were identified in the Prescribed Drug Register. Risk ratios (RRs) and 95% CIs of GDM associated with SLE were estimated using modified Poisson regression models, stratified by parity and adjusted for maternal age at delivery, year of birth, and obesity. Results: We identified 695 SLE pregnancies including 18 (2.6%) with GDM and 4644 non-SLE pregnancies including 65 (1.4%) with GDM. Adjusted RRs of GDM associated with SLE were 1.11 (95% CI 0.38???3.27) for first deliveries and 2.03 (95% CI 1.21???3.40) for all deliveries. Among SLE pregnancies, GDM occurred in 7/306 (2.3%) with >_ 1 GC before and/or during pregnancy, 11/389 (2.8%) without GC, 7/287 (2.4%) with >_ 1 HCQ before and/or during pregnancy, and in 11/408 (2.7%) without HCQ. Conclusion: When looking at all deliveries, SLE was associated with a 2-fold higher risk of GDM. GDM occurrence did not differ by GC or HCQ.

BackgroundThe impact and consequences of the COVID-19 pandemic on people with rheumatic disease are unclear. We developed the COVID-19 Global Rheumatology Alliance Patient Experience Survey to assess the effects of the COVID-19 pandemic on people with rheumatic disease worldwide.MethodsSurvey questions were developed by key stakeholder groups and disseminated worldwide through social media, websites, and patient support organisations. Questions included demographics, rheumatic disease diagnosis, COVID-19 diagnosis, adoption of protective behaviours to mitigate COVID-19 exposure, medication access and changes, health-care access and communication with rheumatologists, and changes in employment or schooling. Adults age 18 years and older with inflammatory or autoimmune rheumatic diseases were eligible for inclusion. We included participants with and without a COVID-19 diagnosis. We excluded participants reporting only non-inflammatory rheumatic diseases such as fibromyalgia or osteoarthritis.Findings12 117 responses to the survey were received between April 3 and May 8, 2020, and of these, 10 407 respondents had included appropriate age data. We included complete responses from 9300 adults with rheumatic disease (mean age 46·1 years; 8375 [90·1%] women, 893 [9·6%] men, and 32 [0·3%] participants who identified as non-binary). 6273 (67·5%) of respondents identified as White, 1565 (16·8%) as Latin American, 198 (2·1%) as Black, 190 (2·0%) as Asian, and 42 (0·5%) as Native American or Aboriginal or First Nation. The most common rheumatic disease diagnoses included rheumatoid arthritis (3636 [39·1%] of 9300), systemic lupus erythematosus (2882 [31·0%]), and Sjögren's syndrome (1290 [13·9%]). Most respondents (6921 [82·0%] of 8441) continued their antirheumatic medications as prescribed. Almost all (9266 [99·7%] of 9297) respondents adopted protective behaviours to limit SARS-CoV-2 exposure. A change in employment status occurred in 2524 (27·1%) of 9300) of respondents, with a 13·6% decrease in the number in full-time employment (from 4066 to 3514).InterpretationPeople with rheumatic disease maintained therapy and followed public health advice to mitigate the risks of COVID-19. Substantial employment status changes occurred, with potential implications for health-care access, medication affordability, mental health, and rheumatic disease activity.FundingAmerican College of Rheumatology.

Supplemental material, sj-pdf-1-lup-10.1177_0961203320973076 for Systemic lupus erythematosus during pregnancy is not associated with school performance in offspring – A Danish population-based study by Signe S Knudsen, Julia F Simard, Jakob S Knudsen, Jakob Christensen, Thomas M Laursen, Bent W Deleuran and Bodil H Bech in Lupus

Supplemental material, sj-pdf-1-lup-10.1177_0961203320973076 for Systemic lupus erythematosus during pregnancy is not associated with school performance in offspring – A Danish population-based study by Signe S Knudsen, Julia F Simard, Jakob S Knudsen, Jakob Christensen, Thomas M Laursen, Bent W Deleuran and Bodil H Bech in Lupus

ObjectiveThe aim was to characterize SLE medication trends before, during and after pregnancy and to compare other commonly used medications during SLE pregnancies with non-SLE pregnancies.MethodsWomen with pregnancies ending in live birth or stillbirth were identified from the Swedish Medical Birth Register (2006-12). National registers were used to identify women with prevalent SLE during pregnancy and a sample without SLE and to identify prescription medications dispensed from 3 months pre-pregnancy until 6 months postpartum. We reported the prevalence of DMARDs, systemic CSs and NSAIDs (aspirin reported separately) in SLE pregnancies. We calculated prevalence estimates of other medications that were dispensed during pregnancy to ⩾ 5% of SLE pregnancies and for the same medications among non-SLE pregnancies.ResultsThere were 483 pregnancies among women with SLE and 5723 pregnancies among women without SLE. In SLE pregnancies, 49.3% had one or more dispensing for DMARDs during pregnancy; the prevalence was 48.0% for CSs, 40.8% for aspirin and 6.0% for other NSAIDs and varied by pregnancy period. The prevalence of common medications among SLE pregnancies was 1.2- to 20-fold higher than among non-SLE pregnancies; for example, dalteparin (20.9 vs 1.0%), paracetamol (18.2 vs 2.9%) and levothyroxine (15.9 vs 4.9%).ConclusionIn nearly half of SLE pregnancies, women were dispensed DMARDs and CSs. Commonly used medications in SLE pregnancies had far higher prevalence estimates compared with non-SLE pregnancies. Research regarding benefits and risks of commonly used medications on SLE pregnancies, breast milk and long-term outcomes for offspring is needed.

To determine whether the sex ratio among offspring born to women with systemic lupus erythematosus (SLE) or rheumatoid arthritis (RA) is different from that in the general population.Women with a singleton delivery were identified from the Swedish Medical Birth Register (1973-2012) and linked to the National Patient Register (1964-2012) to identify those with prevalent SLE or RA. A sample of general population comparators was identified from the Swedish Total Population Register. We calculated the percentages of males born to women with SLE, women with RA, and women in the general population, as well as the risk ratio (RR) for having a male child among first births and all births. We also examined a history of antiphospholipid syndrome in the SLE population, using International Classification of Disease codes before or at delivery.We identified 661 women with SLE and 1,136 women with RA before their first delivery. There were a total of 1,401 deliveries to women with SLE and a total of 2,674 deliveries to women with RA. Compared with women in the general population, women with SLE and those with RA had a lower risk of having a first-born male (RR 0.92 [95% confidence interval 0.85-1.00] and RR 0.93 [95% confidence interval 0.87-0.99], respectively). Among all births, the percentage of male offspring remained lower than that in the general population, but the difference was not statistically significant for RA.The proportion of male offspring born to women with prevalent SLE or RA at delivery was lower than that in the general population, although the difference was small. Chronic inflammation may affect the sex ratio through fetal loss in early gestation.

ObjectiveThe Rheumatology Informatics System for Effectiveness (RISE) is a national electronic health record (EHR)-enabled registry. RISE passively collects data from EHRs of participating practices, provides advanced quality measurement and data analytic capacities, and fulfills national quality reporting requirements. Here we report the registry's architecture and initial data, and we demonstrate how RISE is being used to improve the quality of care.MethodsRISE is a certified Centers for Medicare and Medicaid Services Qualified Clinical Data Registry, allowing collection of data without individual patient informed consent. We analyzed data between October 1, 2014 and September 30, 2015 to characterize initial practices and patients captured in RISE. We also analyzed medication use among rheumatoid arthritis (RA) patients and performance on several quality measures.ResultsAcross 55 sites, 312 clinicians contributed data to RISE; 72% were in group practice, 21% in solo practice, and 7% were part of a larger health system. Sites contributed data on 239,302 individuals. Among the subset with RA, 34.4% of patients were taking a biologic or targeted synthetic disease-modifying antirheumatic drug (DMARD) at their last encounter, and 66.7% were receiving a nonbiologic DMARD. Examples of quality measures include that 55.2% had a disease activity score recorded, 53.6% a functional status score, and 91.0% were taking a DMARD in the last year.ConclusionRISE provides critical infrastructure for improving the quality of care in rheumatology and is a unique data source to generate new knowledge. Data validation and mapping are ongoing and RISE is available to the research and clinical communities to advance rheumatology.

The Rheumatology Informatics System for Effectiveness (RISE) is a national electronic health record (EHR)-enabled registry. RISE passively collects data from EHRs of participating practices, provides advanced quality measurement and data analytic capacities, and fulfills national quality reporting requirements. Here we report the registry's architecture and initial data, and we demonstrate how RISE is being used to improve the quality of care.RISE is a certified Centers for Medicare and Medicaid Services Qualified Clinical Data Registry, allowing collection of data without individual patient informed consent. We analyzed data between October 1, 2014 and September 30, 2015 to characterize initial practices and patients captured in RISE. We also analyzed medication use among rheumatoid arthritis (RA) patients and performance on several quality measures.Across 55 sites, 312 clinicians contributed data to RISE; 72% were in group practice, 21% in solo practice, and 7% were part of a larger health system. Sites contributed data on 239,302 individuals. Among the subset with RA, 34.4% of patients were taking a biologic or targeted synthetic disease-modifying antirheumatic drug (DMARD) at their last encounter, and 66.7% were receiving a nonbiologic DMARD. Examples of quality measures include that 55.2% had a disease activity score recorded, 53.6% a functional status score, and 91.0% were taking a DMARD in the last year.RISE provides critical infrastructure for improving the quality of care in rheumatology and is a unique data source to generate new knowledge. Data validation and mapping are ongoing and RISE is available to the research and clinical communities to advance rheumatology.

OBJECTIVE: To investigate the risk of squamous cell and basal cell skin cancer in patients with rheumatoid arthritis naive to biologic drugs, in patients starting tumour necrosis factor (TNF) inhibitor treatment, and in the general population.DESIGN: Population based cohort study.SETTING: Nationwide data from Sweden.PARTICIPANTS: Cohort of patients with rheumatoid arthritis naive to biologics (n=46 409), cohort of patients with rheumatoid arthritis starting TNF inhibitor treatment as first biologic in 1998-2012 (n=12 558), and matched general population comparator cohort, identified through national quality of care and health registers.MAIN OUTCOME MEASURE: Hazard ratio of first in situ or invasive squamous cell skin cancer (1998-2012) and first basal cell cancer (2004-12).RESULTS: For basal cell cancer, the hazard ratio was 1.22 (95% confidence interval 1.07 to 1.41) comparing biologics-naive rheumatoid arthritis patients with the general population and 1.14 (0.98 to 1.33; 236 v 1587 events) comparing TNF inhibitor treated patients with biologics-naive patients. For squamous cell cancer, the hazard ratio was 1.88 (1.74 to 2.03) comparing biologics-naive rheumatoid arthritis patients with the general population and 1.30 (1.10 to 1.55; 191 v 847 events) comparing TNF inhibitors with biologics-naive patients; the latter translated to an annual number needed to harm in the order of 1600. Among people with a history of squamous cell or basal cell cancer, TNF inhibitors did not further increase risks.CONCLUSION: A small to moderately increased risk of basal cell cancer was seen in biologics-naive rheumatoid arthritis patients, with no further effect of TNF inhibitors. For squamous cell cancer, the risk was nearly doubled in biologics-naive patients, with a further 30% increase in risk among patients treated with TNF inhibitors; this translates to one additional case for every 1600 years of treatment experience, assuming that this association reflected causality. Vigilance regarding skin malignancies may be advisable in rheumatoid arthritis, irrespective of TNF inhibitor treatment. Most of the increase in risk for non-melanoma skin cancer in patients with rheumatoid arthritis treated with TNF inhibitors originates from factors other than that treatment.

Current cigarette smoking is a risk factor for SLE, and recent work has demonstrated that early-life smoke exposure was related to the risk of related rheumatic conditions in female children. Therefore, we sought to investigate whether early-life cigarette smoke exposure might be associated with incidence of SLE in adult women. We studied 93,054 Nurses' Health Study (NHS) and 95,554 NHSII participants free of SLE at baseline who provided information on perinatal exposures. By medical record review, 236 incident SLE cases were confirmed (142 NHS and 94 NHSII) among these women using American College of Rheumatology criteria. We used stratified Cox models to estimate the association of smoke exposure with SLE adjusting for race, birth weight, preterm birth and parents' occupation. Combined estimates were computed using random effects meta-analytic techniques. Maternal cigarette smoking did not increase the risk of SLE (relative risk (RR) = 0.9, 95%CI: 0.6 to 1.4) nor did paternal smoking during the participant's childhood (RR = 1.0, 95% CI: 0.8 to 1.3) in combined analyses. Early-life exposure to cigarette smoke due to mothers' or fathers' smoking was not associated with increased risk of adult-onset SLE in women.