Risk of malignant melanoma and non-melanoma skin cancer in rheumatoid arthritis patients initiating methotrexate versus hydroxychloroquine: a cohort study.

OBJECTIVES: To characterise the incidence rate of skin cancer associated with methotrexate and hydroxychloroquine in older adults with rheumatoid arthritis (RA). METHODS: RA patients aged ≥65 years who initiated methotrexate or hydroxychloroquine as their first disease modifying antirheumatic drugs (DMARDs). The primary outcome was new occurrence of any skin cancer (i.e. malignant melanoma or non-melanoma skin cancer; NMSC) based on validated algorithms (positive predictive value >83%). Secondary outcomes were malignant melanoma, NMSC, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). We estimated the incidence rates (IRs) and hazard ratios (HRs) for each outcome in the 1:1 propensity score (PS)-matched methotrexate and hydroxychloroquine groups. RESULTS: We included 24,577 PS-matched pairs of methotrexate and hydroxychloroquine initiators. Compared with hydroxychloroquine (IR 25.20/1,000 person-years), methotrexate initiators (IR 26.21/1,000 person-years) had a similar risk of any skin cancer [HR 1.03 -(95%CI 0.92, 1.14)] over a mean follow-up of 388 days. The HR (95%CI) associated with methotrexate was 1.39 (0.87, 2.21) for malignant melanoma, 1.01(0.90, 1.12) for NMSC, 1.37 (1.13, 1.66) for BCC, and 0.79 (0.63, 0.99) for SCC compared with hydroxychloroquine. CONCLUSIONS: In this large cohort of older RA patients initiating methotrexate or hydroxychloroquine as their first DMARD, we found no difference in the risk of skin cancer including malignant melanoma and NMSC. However, for specific components of NMSC, methotrexate initiators had higher risk of BCC but lower risk of SCC compared with hydroxychloroquine initiators.

Patient characteristics associated with use of TNF vs interleukin inhibitors as first-line biologic treatment for psoriatic arthritis.

BACKGROUND: Previous studies have examined treatment patterns among patients who use tumor necrosis factor (TNF) inhibitors for psoriatic arthritis (PsA). However, little data exist for a comparison between the TNF inhibitor treatment pattern and that of newly available biologics such as interleukin (IL)-12/23 or 17 inhibitors in the United States. OBJECTIVES: To (a) examine patient characteristics and their association with initiation of TNF inhibitors vs IL-12/23 or 17 inhibitors among PsA patients and (2) compare treatment persistence of PsA patients who initiated TNF inhibitors vs IL-12/23 or 17 inhibitors as first-line biologic treatment in a real-world setting in the United States. METHODS: Using claims data from MarketScan (2013-2017), we identified a cohort of PsA patients who initiated TNF inhibitors or IL-12/23 or 17 inhibitors. The primary outcome was treatment persistence, defined as continuous use of the index drug at 1 year, regardless of refill gaps. The secondary outcome was treatment persistence with high adherence at 1 year (ie, refill gaps ≤ 30 days). Multivariable logistic regression was used to assess the association between patient characteristics and treatment initiation and persistent use of TNF inhibitors vs IL-12/23 or 17 inhibitors. RESULTS: We identified 3,180 TNF inhibitor initiators and 214 IL-12/23 or 17 inhibitor initiators. Initiators of IL-12/23 or 17 inhibitors had more comorbidities than TNF inhibitor initiators. The proportion of patients with treatment persistence was 53.0% in TNF inhibitor initiators and 53.7% in IL-12/23 or 17 inhibitor initiators; 37.1% of TNF inhibitor users and 24.8% of IL-12/23 or 17 inhibitor users were treatment persistent with high adherence. There was no difference in 1-year treatment persistence between the 2 groups after adjusting for baseline characteristics (adjusted odds ratio [aOR] for TNF inhibitors vs IL-12/23 or 17 inhibitors: 0.86, 95% CI = 0.63-1.15). However, use of TNF inhibitors was associated with a greater treatment persistence with high adherence compared with use of IL-12/23 or 17 inhibitors (aOR = 1.61, 95% CI = 1.15-2.26). CONCLUSIONS: PsA patients who initiated an IL 12/23 or 17 inhibitor had a greater comorbidity burden compared with those who initiated TNF inhibitors. Treatment persistence was similar between the 2 groups, whereas medication adherence was higher with TNF inhibitors than with IL 12/23 or 17 inhibitors during the first year of treatment. DISCLOSURES: This study was funded by an investigator-initiated research grant from Pfizer, Inc (grant number: WI235988). The content is solely the responsibility of the authors. The sponsor was given the opportunity to make nonbinding comments on a draft of the manuscript. Publication of the manuscript was not contingent on approval by the sponsor. Kim has received research grants to the Brigham and Women's Hospital from Roche, AbbVie, and Bristol-Myers Squibb for unrelated topics. Merola is a consultant and/or investigator for BMS, AbbVie, Dermavant, Lilly, Novartis, Janssen, UCB, Sun Pharma, and Pfizer. Jin, Chen, Lee, and Landon have nothing to disclose.

Identification of Acute Giant Cell Arteritis in Real-World Data Using Administrative Claims-Based Algorithms.

OBJECTIVE: The objective of this study was to validate claims-based algorithms for identifying acute giant cell arteritis (GCA) that will help generate real-world evidence on comparative effectiveness research and epidemiologic studies. Among patients identified by the GCA algorithm, we further investigated whether GCA flares could be detected by using claims data. METHODS: We developed five claims-based algorithms based on a combination of International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes, specialist visits, and dispensed medications using Medicare Parts A, B, and D linked to electronic medical records (2006-2014). Acute cases of GCA were determined by chart review using the treating physician's diagnosis of GCA as the gold standard. Among the patients identified with acute GCA, we assessed if a GCA flare occurred during the year after initial diagnosis. RESULTS: The number of patients identified by each algorithm ranged from 220 to 896. Positive predictive values (PPVs) of the algorithms ranged from 60.7% to 84.8%. Requirement for disease-specific workups, multiple diagnosis codes, or specialist visits improved the PPVs. The highest PPV (84.8%) was noted in an algorithm that required two or more diagnosis codes of GCA from inpatient, emergency department, or outpatient rheumatology visits plus a prednisone-equivalent dose greater than or equal to 40 mg/day occurring 14 days before or after the second ICD-9 diagnosis date, with the cumulative days' supply greater than or equal to 14 days. Among patients identified as having GCA, 18.2% of patients had definite evidence of a flare and 25% had a potential flare. CONCLUSION: A claims-based algorithm requiring two or more ICD-9 diagnosis codes from inpatient, emergency department, or outpatient rheumatology visits and high-dose glucocorticoid dispensing can be a useful tool to identify acute GCA cases in large administrative claims databases.

Real-world patterns of pegloticase use for treatment of gout: descriptive multidatabase cohort study.

OBJECTIVE: Pegloticase is used in severe refractory gout or in cases of intolerance to other urate-lowering therapies. We sought to evaluate the patterns of pegloticase use in the USA and the incidence of safety outcomes. METHODS: We conducted a retrospective descriptive study using data from two US commercial insurance claims databases (2010-2018). We identified new initiators of pegloticase with ≥1 gout diagnosis code in the 365-day baseline period prior to pegloticase initiation. We measured the number and duration of pegloticase infusions. We assessed the risk of anaphylaxis or anaphylactoid reactions, cardiovascular events, including myocardial infarction or stroke, and hospitalisation for heart failure (new onset or exacerbations) while undergoing pegloticase therapy. RESULTS: Among 2.9 million patients with ≥1 diagnosis of gout, we identified only 483 (179 in Optum and 304 in MarketScan) pegloticase initiators. The mean age and % female was 55.6 years, 10.9% for MarketScan and 60.6 years and 17.3% for Optum. Hypertension was present in up to 85%, diabetes mellitus in 38%, chronic kidney disease in 46% and heart failure in 21% of the patients. The median number of infusions was four and the duration of therapy was 3 months. During the mean 0.5-year follow-up time on pegloticase, there were 3 (0.6%) anaphylaxis, 7 (1.4%) composite cardiovascular, 31 (6.4%) heart failure hospitalisations and 3 (0.6%) deaths. CONCLUSION: Pegloticase is rarely used in gout, and the median duration of pegloticase therapy was 3 months. There were few anaphylaxis events captured in this claims-based study, while heart failure hospitalisations were common.

Use of biologic or targeted-synthetic disease-modifying anti-rheumatic drugs and risk of diabetes treatment intensification in patients with rheumatoid arthritis and diabetes mellitus.

OBJECTIVES: Given that RA treatment might affect the severity of diabetes mellitus (DM), we compared the risk of DM treatment intensification in patients with both RA and DM newly initiating a biologic DMARD or tofacitinib. METHODS: Using claims data from the IBM MarketScan database (2005-2016), we identified patients aged ≥18 years with RA who initiated abatacept, a TNF inhibitor (TNFi), rituximab, tocilizumab or tofacitinib. Patients were required to have type 1 or type 2 DM and to use at least one antidiabetic drug at baseline. We assessed DM treatment intensification (i.e. addition of a new insulin or non-insulin antidiabetic medication). We also assessed non-insulin antidiabetic medication switching events. RESULTS: We included 10 019 patients with RA and DM initiating a biologic DMARD or tofacitinib. Baseline insulin use was the highest in rituximab initiators (44%) and lowest in tofacitinib initiators (35%). The incidence rate per 1000 person-years for DM treatment intensification ranged from 148.2 (tofacitinib) to 198.0 (rituximab). The risk of DM treatment intensification was similar between abatacept and TNFi [hazard ratio (HR) 0.97, 95% CI: 0.82, 1.15], rituximab (HR 0.99, 95% CI: 0.79, 1.23) and tocilizumab (HR 0.94, 95% CI: 0.74, 1.19), but lower for tofacitinib compared with abatacept (HR 0.67, 95% CI: 0.50, 0.90). The risk of non-insulin DM treatment switching was not different between abatacept and other biologic DMARDs. CONCLUSION: In patients with both RA and DM, we found no difference in the risk of DM treatment switching or intensification after initiating abatacept vs TNFi, rituximab and tocilizumab, whereas the risk appeared to be lower for tofacitinib.

Risk of Incident Type 2 Diabetes Mellitus Among Patients With Rheumatoid Arthritis: A Population-Based Cohort Study.

OBJECTIVE: To examine the risk of incident type 2 diabetes mellitus (DM) among patients with rheumatoid arthritis (RA) versus the risk among 4 different comparison cohorts. METHODS: Using a large US commercial insurance database, Optum Clinformatics Data Mart (2005-2017), we identified patients with RA based on ≥2 diagnoses for RA and use of ≥1 disease-modifying antirheumatic drug. We selected 4 comparison cohorts with ≥2 disease-specific diagnoses and ≥1 dispensing of disease-specific drugs: 1) general non-RA patients, 2) patients with hypertension, 3) patients with osteoarthritis (OA), and 4) patients with psoriatic arthritis (PsA). The index date was the disease-specific drug dispensing date. Patients with RA were matched to the comparator cohorts (except PsA) for age as of the index date, sex, and index date. The primary outcome was incident type 2 DM, defined as a new diagnosis of type 2 DM plus a new dispensing of antidiabetic drugs. A multivariable Cox proportional hazards model estimated hazard ratios of incident type 2 DM among RA versus each of the comparison cohorts, accounting for >40 baseline covariates. RESULTS: A total of 449,327 RA, general non-RA, hypertension, OA, or PsA patients were selected. During the median of 1.6 (range 0.6-3.3) years of follow-up, the incidence rate of type 2 DM was the lowest in the RA cohort (7.0 per 1,000 person-years) and highest (12.3 per 1,000 person-years) in the hypertension cohort. After adjusting for >40 baseline covariates, we found that RA was associated with a 24-35% lower risk of incident type 2 DM compared to 4 comparison groups. CONCLUSION: In this large population-based cohort study, patients with RA had a lower rate of incident type 2 DM compared to the general non-RA, hypertension, OA, and PsA cohorts.

Comparative Risks of Cardiovascular Disease in Patients With Systemic Lupus Erythematosus, Diabetes Mellitus, and in General Medicaid Recipients.

OBJECTIVE: Cardiovascular disease (CVD) risk is elevated in patients with systemic lupus erythematosus (SLE) and diabetes mellitus (DM), but whether risk of CVD in patients with SLE is as high as in those with DM is unknown. The present study was undertaken to compare CVD risks between patients with SLE and DM and general population US Medicaid recipients. METHODS: In a cohort study, we identified age- and sex-matched adults (1:2:4) with SLE or DM and those from the general population using Medicaid Analytic eXtract, 2007-2010. We collected data on baseline sociodemographic factors, comorbidities, and medications. We used Cox regression models to calculate hazard ratios (HRs) of hospitalized nonfatal CVD events (combined myocardial infarction [MI] and stroke) and MI and stroke separately, accounting for competing risk of death and adjusting for covariates. We compared risks in age-stratified models. RESULTS: We identified 40,212 SLE patients, 80,424 DM patients, and 160,848 general population patients; 92.5% were female, and the mean ± SD age was 40.3 ± 12.1 years. Nonfatal CVD incidence rate per 1,000 person-years was 8.99 for patients with SLE, 7.07 for those with DM, and 2.36 for the general population. Nonfatal CVD risk was higher in SLE compared to DM (HR 1.27 [95% confidence interval (95% CI) 1.15-1.40]), driven by excess risk at ages 18-39 years (HR 2.22 [95% CI 1.81-2.71]). Patients with SLE had higher risk of CVD compared to the general population (HR 2.67 [95% CI 2.38-2.99]). CONCLUSION: SLE patients had a 27% higher risk of nonfatal CVD events compared to age- and sex-matched patients with DM and more than twice the risk of the Medicaid general population. The highest relative risk occurred at ages 18-39 years. These high risks merit aggressive evaluation for modifiable factors and research to identify prevention strategies.

Assessing the Risk for Gout With Sodium-Glucose Cotransporter-2 Inhibitors in Patients With Type 2 Diabetes: A Population-Based Cohort Study.

Background: Hyperuricemia is common in patients with type 2 diabetes mellitus and is known to cause gout. Sodium-glucose cotransporter-2 (SGLT2) inhibitors prevent glucose reabsorption and lower serum uric acid levels. Objective: To compare the rate of gout between adults prescribed an SGLT2 inhibitor and those prescribed a glucagon-like peptide-1 (GLP1) receptor agonist. Design: Population-based new-user cohort study. Setting: A U.S. nationwide commercial insurance database from March 2013 to December 2017. Patients: Persons with type 2 diabetes newly prescribed an SGLT2 inhibitor were 1:1 propensity score matched to patients newly prescribed a GLP1 agonist. Persons were excluded if they had a history of gout or had received gout-specific treatment previously. Measurements: The primary outcome was a new diagnosis of gout. Cox proportional hazards regression was used to estimate hazard ratios (HRs) of the primary outcome and 95% CIs. Results: The study identified 295 907 adults with type 2 diabetes mellitus who were newly prescribed an SGLT2 inhibitor or a GLP1 agonist. The gout incidence rate was lower among patients prescribed an SGLT2 inhibitor (4.9 events per 1000 person-years) than those prescribed a GLP1 agonist (7.8 events per 1000 person-years), with an HR of 0.64 (95% CI, 0.57 to 0.72) and a rate difference of -2.9 (CI, -3.6 to -2.1) per 1000 person-years. Limitation: Unmeasured confounding, missing data (namely incomplete laboratory data), and low baseline risk for gout. Conclusion: Adults with type 2 diabetes prescribed an SGLT2 inhibitor had a lower rate of gout than those prescribed a GLP1 agonist. Sodium-glucose cotransporter-2 inhibitors may reduce the risk for gout among adults with type 2 diabetes mellitus, although future studies are necessary to confirm this observation. Primary Funding Source: Brigham and Women's Hospital.

Risk of Hospitalized Infection and Initiation of Abatacept Versus Tumor Necrosis Factor Inhibitors Among Patients With Rheumatoid Arthritis: A Propensity Score-Matched Cohort Study.

OBJECTIVE: We aimed to evaluate the comparative risk of hospitalized infection among patients with rheumatoid arthritis (RA) who initiated abatacept versus a tumor necrosis factor inhibitor (TNFi). METHODS: Using claims data from Truven MarketScan database (2006-2015), we identified patients with RA ages ≥18 years with ≥2 RA diagnoses who initiated treatment with abatacept or a TNFi. The primary outcome was a composite end point of any hospitalized infection. Secondary outcomes included bacterial infection, herpes zoster, and infections affecting different organ systems. We performed 1:1 propensity score (PS) matching between the groups in order to control for baseline confounders. We estimated incidence rates (IRs) and hazard ratios (HRs) with 95% confidence intervals (95% CIs) for hospitalized infection. RESULTS: We identified 11,248 PS-matched pairs of patients who initiated treatment with abatacept and TNFi with a median age of 56 years (83% were women). The IR per 1,000 person-years for any hospitalized infection was 37 among patients who initiated treatment with abatacept and 47 in those who initiated treatment with TNFi. The HR for the risk of any hospitalized infection associated with abatacept versus TNFi was 0.78 (95% CI 0.64-0.95) and remained lower when compared to infliximab (HR 0.63 [95% CI 0.47-0.85]), while no significant difference was seen when compared to adalimumab and etanercept. The risk of secondary outcomes was lower for abatacept for pulmonary infections, and similar to TNFi for the remaining outcomes. CONCLUSION: In this large cohort of patients with RA who initiated treatment with abatacept or TNFi as a first- or second-line biologic agent, we found a lower risk of hospitalized infection after initiating abatacept versus TNFi, which was driven mostly by infliximab.

Risk of Diabetes Mellitus in Patients with Juvenile Idiopathic Arthritis.

OBJECTIVE: To examine the risk of type 1 diabetes (T1D) associated with juvenile idiopathic arthritis (JIA). METHODS: Using the IBM MarketScan database, we compared JIA patients with asthma patients and healthy individuals for the risk of incident T1D. RESULTS: We included patients with 15,210 JIA, 76,050 patients with asthma, and 76,050 healthy individuals matched 1:5 on age, sex, and index date. After adjustment for confounders, the multivariable HR of T1D associated with JIA was 1.48 (95% CI 0.86-2.56) versus asthma and 1.81 (95% CI 1.03-3.17) versus healthy individuals. CONCLUSION: JIA appears to be associated with an increased risk of T1D compared to patients with asthma and healthy children.

Atrial Fibrillation/flutter Hospitalizations among US Medicaid Recipients with and without Systemic Lupus Erythematosus.

OBJECTIVE: Systemic lupus erythematosus (SLE) is a multisystem chronic inflammatory autoimmune disease with high prevalence of several risk factors for atrial fibrillation/flutter (AF). However, the incidence and risk of AF in SLE have not been well quantified. METHODS: We used the United States Medicaid Analytic eXtract from 2007 to 2010 to identify beneficiaries aged 18-65 years, with prevalent SLE, each matched by age and sex to 4 non-SLE general Medicaid recipients. We estimated the incidence rates (IR) per 1000 person-years (PY) for AF hospitalizations and used multivariable Cox regression to estimate the HR for AF hospitalization. RESULTS: We identified 46,876 US Medicaid recipients with SLE, and 187,504 age- and sex-matched non-SLE controls (93% female; mean age 41.5 ± 12.2 yrs). Known AF risk factors such as hypertension (HTN), cardiovascular disease (CVD), and kidney disease were more prevalent in patients with SLE. During a mean followup of 1.9 ± 1.1 years for SLE, and 1.8 ± 1.1 years for controls, the IR per 1000 PY for AF was 1.4 (95% CI 1.1-1.6) among patients with SLE and 0.7 (95% CI 0.6-0.8) among non-SLE controls. In age- and sex-matched and race-adjusted Cox models, the HR for AF was 1.79 (95% CI 1.43-2.24); after adjustment for baseline HTN and CVD, the adjusted HR was reduced to 1.17 (95% CI 0.92-1.48). CONCLUSION: SLE was associated with a doubled rate of hospitalization for AF compared to age- and sex-matched general Medicaid patients. In a race-adjusted model, the risk was 80% higher. However, the AF risk factors HTN and CVD were more prevalent among patients with SLE and accounted for the excess risk.

Heart failure risk in systemic lupus erythematosus compared to diabetes mellitus and general medicaid patients.

BACKGROUND: Patients with systemic lupus erythematosus (SLE) have a similar risk of myocardial infarction as those with diabetes mellitus (DM). Whether the risk of heart failure (HF) in SLE is similar to the elevated risk in DM is unknown. We sought to estimate the rates and risks for HF hospitalization among US Medicaid patients with SLE and to compare them to those for DM and the general Medicaid population. METHODS: Using U.S. Medicaid data from 2007-2010, we identified patients with SLE or DM, and a matched cohort from the general Medicaid population and calculated incidence rates (IR), incidence rate ratios (IRR) and adjusted hazard ratios (HR) of a first HF hospitalization. RESULTS: We identified 37,902 SLE (93% female, mean age 40.1 ±â€¯12.1), 76,657 DM (93% female, mean age 40.0 ±â€¯12.1), and 158,695 general Medicaid patients (93% female, mean age 40.2 ±â€¯12.1). The IR per 1000-person years was 6.9 (95% CI 6.3-7.5) for SLE, 6.6 (95% CI 6.2-7.0) for DM, and 1.6 (95% CI 1.5-1.8) for general Medicaid patients. The highest IRR compared to general Medicaid was seen among SLE patients in age group 18-39 (14.7, 95% CI 13.9-15.5). Multivariable-adjusted HRs for HF compared to general Medicaid population were similar for SLE (2.7, 95% CI 2.3-3.1) and DM (3.0, 95% CI 2.6-3.4). CONCLUSION: The incidence of HF among SLE patients was 2.7-fold higher than general Medicaid patients, and similar to DM. Further investigation into the biologic mechanism of HF among SLE compared to non-SLE and DM patients may shed light on the findings of this study.

Use of prescription opioids among patients with rheumatic diseases compared to patients with hypertension in the USA: a retrospective cohort study.

OBJECTIVE: Long-term opioid prescribing has increased amid concerns over effectiveness and safety of its use. We examined long-term prescription opioid use among patients with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), psoriatic arthritis (PsA) and ankylosing spondylitis (AS), compared with patients with hypertension (HTN). METHODS: We used Truven MarketScan, a US commercial claims database (2003-2014) and identified RA, SLE, PsA and AS cohorts, each matched by age and sex to patients with HTN. We compared long-term opioid prescription use during 1 year of follow-up and used multivariable Poisson regression model to estimate the relative risk (RR) of receiving opioid prescriptions based on underlying disease cohort. RESULTS: We identified 181 710 RA (mean age 55.3±13.1, 77% female), 45 834 SLE (47.1±13.1, 91% female), 30 307 PsA (49.7±11.5, 51% female), 7686 AS (44.6±12.0, 39% female) and parallel numbers of age-matched and sex-matched patients with HTN. The proportion of patients receiving long-term opioid prescriptions, and other measures of opioid prescriptions were higher among rheumatic disease cohorts and highest in patients with AS. AS was associated with the highest RR of receiving long-term opioid prescriptions (RR 2.73, 95% CI 2.60 to 2.87) versus HTN, while RRs were 2.21 (2.16 to 2.25) for RA, 1.94 (1.87 to 2.00) for PsA and 1.82 (1.77 to 1.88) for SLE. CONCLUSIONS: Patients with rheumatic disease have higher rates of long-term opioid prescriptions, and patients with AS have the highest risk of receiving opioid prescriptions versus patients with HTN. Further studies investigating the effectiveness of disease-targeted treatments on decreasing opioid use in these four rheumatic diseases may provide strategies for reducing prescription opioids.

Lipid Testing and Statin Prescriptions Among Medicaid Recipients With Systemic Lupus Erythematosus or Diabetes Mellitus and the General Medicaid Population.

OBJECTIVE: Cardiovascular disease (CVD) risks in systemic lupus erythematosus (SLE) are similar to those in diabetes mellitus (DM). We investigated whether the numbers of lipid tests and statin prescriptions in patients with SLE are comparable with those in patients with DM and those in individuals without either disease. METHODS: Using Analytic eXtract files from 29 states for 2007-2010, we identified a cohort of US Medicaid beneficiaries, ages 18-65 years, with prevalent SLE. Each SLE patient was matched for age and sex with 2 patients with DM and 4 individuals in the general Medicaid population who did not have either SLE or DM. We compared the proportions of patients in each cohort who received ≥1 lipid test and ≥1 statin prescription during 1-year follow-up. We used multivariable logistic regression to calculate the odds of lipid testing and receiving prescriptions for statins and conditional logistic regression to compare the matched cohorts. RESULTS: We identified 3 Medicaid cohorts: 25,950 patients with SLE, 51,900 patients with DM, and 103,800 Medicaid recipients without either condition. In these cohorts, lipid testing was performed in 24% of patients in the SLE group, 43% of patients in the DM group, and 16% of individuals in the group with neither condition, and statin prescriptions were dispensed in 11%, 33%, and 7% of these groups, respectively. SLE patients were 66% less likely (odds ratio [OR] 0.34, 95% confidence interval [95% CI] 0.34-0.35) to have lipid tests and 82% less likely (OR 0.18, 95% CI 0.18-0.18) to fill a statin prescription compared with DM patients. SLE patients were also less likely (OR 0.89, 95% CI 0.84-0.94) to fill a statin prescription compared with individuals in the general Medicaid population. CONCLUSION: Despite having an elevated risk of CVD, SLE patients received less lipid testing and received fewer statin prescriptions compared with age- and sex-matched DM patients and individuals in the general Medicaid population; this gap should be a target for improvement.

Racial/ethnic variation in stroke rates and risks among patients with systemic lupus erythematosus.

OBJECTIVE: Systemic lupus erythematosus (SLE), which is associated with increased stroke risk, is more prevalent and often more severe among Blacks, Asians, and Hispanics than Whites. We examined racial/ethnic variation in stroke rates and risks, overall and by hemorrhagic versus ischemic subtype, among SLE patients. METHODS: Within Medicaid (2000-2010), we identified patients aged 18-65 with SLE (≥ 3 ICD-9 710.0 codes, ≥ 30days apart) and ≥12 months of continuous enrollment. Subjects were followed from index date to first stroke event, death, disenrollment, or end of follow-up. Race/ethnicity-specific annual event rates were calculated for stroke overall and by subtypes (hemorrhagic vs. ischemic). We used Cox proportional hazard models to estimate hazard ratios (HR) of stroke by race/ethnicity, adjusting for comorbidities and the competing risk of death. RESULTS: Of 65,788 SLE patients, 93.1% were female. Racial/ethnic breakdown was 42% Black, 38% White, 16% Hispanic, 3% Asian, and 1% American Indian/Alaska Natives. Mean follow-up was 3.7 ± 3.0years. After multivariable adjustment, Blacks were at increased risk of overall stroke (HR 1.34 [95%CI 1.18-1.53), hemorrhagic stroke (HR 1.42 [1.00-2.01]), and ischemic stroke (HR 1.33 [1.15-1.52]) compared to Whites. Hispanics were at increased risk of overall stroke (HR 1.25 [1.06-1.47)] and hemorrhagic stroke (HR 1.79 [95% CI 1.22-2.61]), but not ischemic stroke, compared to Whites. CONCLUSION: Among SLE patients enrolled in Medicaid, we observed elevated stroke risk (overall and by subtype) among Blacks and Hispanics compared to Whites, suggesting the importance of early recognition and screening for stroke risk factors among Blacks and Hispanics.

Baseline Retinal Examinations in Patients With Systemic Lupus Erythematosus Newly Initiating Hydroxychloroquine Treatment in a US Medicaid Systemic Lupus Erythematosus Population, 2000-2010.

OBJECTIVE: Baseline retinal examinations have long been recommended for patients beginning treatment with hydroxychloroquine (HCQ), but it is unknown how well this guideline is followed. We investigated baseline eye examinations among US SLE patients enrolled in Medicaid in whom HCQ treatment was newly initiated. METHODS: Using billing codes, we identified SLE patients ages 18-65 years who were enrolled in Medicaid and residing in the 29 most populated US states, from 2000 to 2010. New users of HCQ were identified by filled prescriptions, with none filled in the preceding 12 months. Retinal examinations that were performed within 30 days before to 1 year after the index prescription were identified. We examined the proportions of patients receiving retinal examinations over the study years and compared the characteristics of those who did and those who did not receive examinations, using bivariable and multivariable logistic regression models. RESULTS: Among 12,755 SLE patients newly starting HCQ treatment, 32.5% received baseline dilated eye examinations. The proportions of patients receiving baseline eye examinations did not significantly change from 2000 to 2010 (31.0-34.4%; P for linear trend = 0.12). Factors associated with an increased likelihood of having an examination included female sex, Asian versus white race, and a higher number of laboratory tests performed during the preceding year. Compared with white patients, lower proportions of black and Native American patients with SLE had baseline retinal examinations. CONCLUSION: Only one-third of patients with SLE enrolled in Medicaid and in whom HCQ was newly initiated received the recommended baseline retinal examinations, and this proportion did not significantly increase from 2000 to 2010. The sociodemographic variation in this recommended care has been observed for other recommended medical care in SLE and requires both further investigation and interventions to address it.