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Objective: The objective was to estimate the incidence of lung disease among patients with systemic lupus erythematosus (SLE)., Methods: Using Swedish register data, we identified patients with SLE and pulmonary diagnoses from the National Patient Register through ICD codes. We matched patients with SLE with individuals from the general population. Patients with SLE with a history of pulmonary disease were excluded. Incidence rates (IR) and 95% confidence intervals (CI) were calculated overall and by type of pulmonary disease for incident (2003-2013) and prevalent SLE separately. Hazard ratios (HR) and 95% CI of the association between SLE and pulmonary disease were estimated using adjusted Cox regression models. Sensitivity analyses using a semi-automated approach to quantitative probabilistic bias analysis accounted for potential bias due to unmeasured confounding by smoking., Results: There were 3209 incident and 6908 prevalent cases of SLE identified. The IRs for pulmonary disease were similar in prevalent and incident SLE (∼14 cases per 1000 person-years). Patients with incident SLE had a nearly sixfold higher rate of pulmonary disease compared to the non-SLE population (HR 5.8 (95% CI 4.8-7.0)). Incident and prevalent SLE was associated with an increased rate of interstitial lung disease (HR 19.0 (95% CI 10.7-34.0) and 14.3 (95% CI 10.8-18.8), respectively). Bias due to unmeasured confounding by smoking was unlikely to explain our findings., Conclusion: Lung disease is relatively common in patients with SLE compared to the general population. Clinicians caring for patients with SLE should have heightened suspicion of lung disease, including interstitial lung disease, even early within the disease course or at the time of diagnosis of SLE.

Objective: Systemic lupus erythematosus (SLE) and asthma share inheritable IgE-related pathophysiology, but the association between maternal SLE and asthma in the offspring has not been explored. Our aim was to investigate the association between maternal SLE during pregnancy and childhood asthma and examine the role of preterm birth as a mediator of the association using Swedish register data., Methods: Information on 12,000 singleton live births (2001-2013) was collected from the Medical Birth Register. Childhood asthma was defined as at least 1 International Classification of Diseases-coded visit in the National Patient Register. Prevalent maternal SLE at delivery was identified from the Medical Birth Register and the National Patient Register. Risk ratios for asthma were estimated while controlling for confounders. Mediation analysis was used to estimate what percentage of the total effect can be explained by preterm birth (defined as either <34 or <37 weeks of gestation)., Results: We compared 775 children born to mothers with SLE with 11,225 born to mothers without SLE. Ninety seven children of mothers with SLE (13%) were diagnosed with asthma, compared to 1,211 in the unexposed group (11%). The risk ratio for childhood asthma was 1.46 (95% confidence interval 1.16-1.84). In mediation analysis, 20-29% of the total effect of SLE was explained by preterm birth., Conclusion: Prevalent maternal SLE during pregnancy is associated with an increased risk of asthma in the offspring. While preterm birth can explain a fair proportion of this association, additional unidentified mechanisms also likely play a role., (© 2017, American College of Rheumatology.)

Objective: 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., Methods: 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., Results: 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., Conclusion: 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., (© 2016, American College of Rheumatology.)

Objective: To develop and investigate the utility of several different case definitions for systemic lupus erythematosus (SLE) using national register data in Sweden., Methods: The reference standard consisted of clinically confirmed SLE cases pooled from four major clinical centres in Sweden (n=929), and a sample of non-SLE comparators randomly selected from the National Population Register (n=24,267). Demographics, comorbidities, prescriptions and autoimmune disease family history were obtained from multiple registers and linked to the reference standard. We first used previously published SLE definitions to create algorithms for SLE. We also used modern data mining techniques (penalised least absolute shrinkage and selection operator logistic regression, elastic net regression and classification trees) to objectively create data-driven case definitions. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated for the case definitions identified., Results: Defining SLE by using only hospitalisation data resulted in the lowest sensitivity (0.79). When SLE codes from the outpatient register were included, sensitivity and PPV increased (PPV between 0.97 and 0.98, sensitivity between 0.97 and 0.99). Addition of medication information did not greatly improve the algorithm's performance. The application of data mining methods did not yield different case definitions., Conclusions: The use of SLE International Classification of Diseases (ICD) codes in outpatient clinics increased the accuracy for identifying individuals with SLE using Swedish registry data. This study implies that it is possible to use ICD codes from national registers to create a cohort of individuals with SLE., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

Objective: Worldwide prevalence estimates of systemic lupus erythematosus (SLE) range from 3 to 207 per 100,000, depending on region and population, SLE definition, case sources, and other methodologic considerations. We aimed to determine the prevalence of SLE in Sweden on January 1, 2010, using population-based registers., Methods: Linking multiple national registers, we identified all possible inpatient and outpatient visits with SLE-specific discharge diagnoses and relevant prescription dispensations among living individuals registered in Sweden on January 1, 2010. SLE was defined from a lenient classification (requiring only a single visit) to stricter definitions that required multiple visits with a history of relevant specialist care and a dispensation for common SLE medications. Prevalence was calculated overall and by sex, age (0-14 years, 15-49 years, and ≥50 years, as well as in 5-year age groups), and county of residence., Results: Overall prevalence ranged from 46 per 100,000 for the strictest definition to 85 per 100,000 for the least strict definition. As expected, SLE was more common among females (range 79-144 per 100,000) than males (range 12-25 per 100,000) and varied by age. The up to 4-fold variation by county was unexpected. Prevalence generally increased with age (2, 52, and 95 per 100,000 by increasing age group, 0-14 years, 15-49 years, and ≥50 years, respectively, using a moderately strict definition) and also varied by county., Conclusion: Variations of prevalence by age and sex were consistent with previous studies and overall ranged from 46 to 85 per 100,000. We observed a surprising geographic variation in the prevalence of SLE in Sweden on January 1, 2010, according to multiple definitions., (Copyright © 2014 by the American College of Rheumatology.)

Objective: To determine coverage and generalisability of data in the Swedish Biologics Register ARTIS., Methods: Patients with adult onset rheumatoid arthritis (RA) were identified in the National Patient Register and the Swedish Rheumatology Quality Register, including the ARTIS cohort of patients exposed to biological agents. Exposure to etanercept and adalimumab between 2006 and 2008 was determined by register linkage to the Prescribed Drug Register which contains patient-level data on >99% of all etanercept and adalimumab use in Sweden., Results: Of 62 897 patients with RA, 6510 had received treatment with etanercept or adalimumab according to the Prescribed Drug Register. Of these, 5673 were also registered in ARTIS, resulting in a national coverage of 87%. The regional variation was small with >85% coverage in 18 of 21 counties. In multivariable analysis, ARTIS-registered and non-registered patients did not differ by age (p=0.62), sex (p=0.84) or education level (p=0.24)., Conclusion: Nationwide drug dispensing and demographic data may function as quality metrics for coverage and generalisability assessments. Using such data, the coverage of ARTIS was estimated at 87% with no indications of compromised external generalisability regarding demography.