Objective

We investigated the quality of care and factors associated with variations in care among a national cohort of Medicaid enrollees with incident lupus nephritis.

Methods

Using Medicaid Analytic eXtract files from 47 US states and the District of Columbia for 2000-2006, we identified a cohort of individuals with incident lupus nephritis. We assessed performance on 3 measures of health care quality: receipt of immunosuppressive, renal-protective antihypertensive, and antimalarial medications. We examined performance on these measures over 1 year and applied multivariable logistic regression models to understand whether sociodemographic, geographic, or health care access factors were associated with higher performance on quality measures.

Results

We identified 1,711 Medicaid enrollees with incident lupus nephritis. Performance on quality measures was low at 90 days (21.9% for immunosuppressive therapy, 44.0% for renal protection, and 36.4% for antimalarials) but increased by 1 year (33.7%, 56.4%, and 45.8%, respectively). Younger individuals, African Americans, and Hispanics were more likely to receive immunosuppressive therapy and hydroxychloroquine. Younger individuals were less likely to receive renal-protective antihypertensive medications. We found significant geographic variation in performance, with patients in the Northeast receiving higher quality of care compared to other regions. Poor access to health care, as assessed by having a greater number of treat-and-release emergency department visits compared to ambulatory encounters, was associated with lower receipt of recommended treatment.

Conclusion

These nationwide data suggest low overall quality of care and potential delays in care for Medicaid enrollees with incident lupus nephritis. Significant regional differences also suggest room for quality improvement.

Objective

While systemic lupus erythematosus and lupus nephritis (LN) disproportionately affect females, previous studies suggest that males may experience poorer outcomes. We undertook this study to investigate sex differences in health care utilization, end-stage renal disease (ESRD), and mortality among patients with LN receiving Medicaid, public insurance for low-income individuals.

Methods

Within the Medicaid Analytic eXtract (MAX) from 29 states (from 2000 to 2010), we used billing claims to identify individuals ages 5-65 years with incident LN (positive predictive value 80%). MAX data were linked to the US Renal Data System to determine ESRD and to Social Security Death Index files to determine death. We estimated adjusted incidence rate ratios (IRRs) by sex for health care utilization using Poisson regression, and we used multivariable proportional hazards models to compare risks of ESRD and death by sex.

Results

Of 2,750 patients with incident LN, 283 (10%) were male. The mean ± SD follow-up period for both sexes was 3.1 ± 2.3 years. The mean ± SD age was 29.6 ± 13.9 years among females and 24.7 ± 14.1 years among males (P < 0.01). Males had fewer outpatient visits (IRR 0.88 [95% confidence interval (95% CI) 0.80-0.97]) and fewer emergency department visits (IRR 0.75 [95% CI 0.63-0.90]). The 5-year cumulative incidence of ESRD was 22.3% in males and 21.2% in females. The 5-year cumulative incidence of death was 9.4% in males and 9.8% in females. Comparing males to females, there were no sex differences in ESRD (subdistribution hazard ratio [HR] 1.05 [95% CI 0.76-1.45]) or death (HR 0.81 [95% CI 0.47-1.35]).

Conclusion

In this cohort of patients with incident LN, ESRD and mortality were extremely high overall but were not increased among males compared to females. In this vulnerable population, biologic and health care utilization differences by sex may not significantly affect outcomes.

Objective

We examined whether nonadherence to hydroxychloroquine (HCQ) or immunosuppressive medications (ISMs) was associated with higher subsequent acute care utilization among Medicaid beneficiaries with systemic lupus erythematosus (SLE).

Methods

We utilized US Medicaid data from 2000-2006 to identify adults ages 18-64 years with SLE who were new users of HCQ or ISMs. We defined the index date as receipt of HCQ or ISMs without use in the prior 6 months. We measured adherence using the medication possession ratio (MPR), the proportion of days covered by total days' supply dispensed, for the 1-year post-index date. Our outcomes were all-cause and SLE-related emergency department (ED) visits and hospitalizations in the subsequent year. We used multivariable Poisson regression models to examine the association between nonadherence (MPR <80%) and acute care utilization, adjusting for sociodemographics and comorbidities.

Results

We identified 9,600 HCQ new users and 3,829 ISM new users with SLE. The mean ± SD MPR for HCQ was 47.8% ± 30.3% and for ISMs was 42.7% ± 30.7%. Seventy-nine percent of HCQ users and 83% of ISM users were nonadherent (MPR <80%). In multivariable models, among HCQ users, the incidence rate ratio (IRR) of ED visits was 1.55 (95% confidence interval [95% CI] 1.43-1.69) and the IRR of hospitalizations was 1.37 (95% CI 1.25-1.50), comparing nonadherers to adherers. For ISM users, the IRR of ED visits was 1.64 (95% CI 1.42-1.89) and of hospitalizations was 1.67 (95% CI 1.41-1.96) for nonadherers versus adherers.

Conclusion

In this cohort, nonadherence to HCQ and ISMs was common and was associated with significantly higher subsequent acute care utilization.

Objective

To estimate the economic burden of systematic lupus erythematous (SLE), stratified by disease severity, in commercially- and Medicaid-insured US populations.

Methods

Adults (≥18 years) with SLE treated with antimalarials, selected biologics, immunosuppressants, and systemic glucocorticoids (2010-2014) were identified within the commercial and Medicaid insurance IBM MarketScan® databases (index date = first SLE medication claim). Both cohorts were stratified into mild (receiving antimalarial or glucocorticoid monotherapy ≤5 mg/day) versus moderate/severe SLE (receiving glucocorticoids >5 mg/day, biologic, immunosuppressant, or combination therapy) during a 6-month exposure period. All-cause healthcare utilization and costs were evaluated during the 12 months following the exposure period.

Results

Among 8231 commercially-insured patients, 32.6% had mild and 67.4% had moderate/severe SLE by our definition. Among 802 Medicaid-insured patients, 25.2% had mild and 74.8% had moderate/severe SLE. Adjusted mean total healthcare costs, excluding pharmacy, for moderate/severe SLE patients were higher than for mild SLE patients in the commercially-insured ($39,021 versus $23,519; p < 0.0001) and Medicaid-insured populations ($56,050 versus $44,932; p = 0.06). In both SLE severity populations total unadjusted costs were significantly higher among Medicaid-insured than commercially-insured patients.

Conclusion

Commercially-insured patients with treatment suggesting moderate/severe SLE incurred significantly higher adjusted mean healthcare costs, excluding pharmacy, compared with mild SLE patients. While not reaching statistical significance, moderate/severe Medicaid-insured patients had higher costs then mild SLE patients. Total unadjusted healthcare costs were significantly higher among Medicaid-insured than commercially-insured patients. These differential costs are important to consider and monitor when implementing interventions to improve health and reduce healthcare spending for SLE.

Observational studies suggest that posttraumatic stress disorder (PTSD) increases risk for various autoimmune diseases. Insights into shared biology and causal relationships between these diseases may inform intervention approaches to PTSD and co-morbid autoimmune conditions. We investigated the shared genetic contributions and causal relationships between PTSD, 18 autoimmune diseases, and 3 immune/inflammatory biomarkers. Univariate MiXeR was used to contrast the genetic architectures of phenotypes. Genetic correlations were estimated using linkage disequilibrium score regression. Bi-directional, two-sample Mendelian randomization (MR) was performed using independent, genome-wide significant single nucleotide polymorphisms; inverse variance weighted and weighted median MR estimates were evaluated. Sensitivity analyses for uncorrelated (MR PRESSO) and correlated horizontal pleiotropy (CAUSE) were also performed. PTSD was considerably more polygenic (10,863 influential variants) than autoimmune diseases (median 255 influential variants). However, PTSD evidenced significant genetic correlation with nine autoimmune diseases and three inflammatory biomarkers. PTSD had putative causal effects on autoimmune thyroid disease (p = 0.00009) and C-reactive protein (CRP) (p = 4.3 × 10-7). Inferences were not substantially altered by sensitivity analyses. Additionally, the PTSD-autoimmune thyroid disease association remained significant in multivariable MR analysis adjusted for genetically predicted inflammatory biomarkers as potential mechanistic pathway variables. No autoimmune disease had a significant causal effect on PTSD (all p values > 0.05). Although causal effect models were supported for associations of PTSD with CRP, shared pleiotropy was adequate to explain a putative causal effect of CRP on PTSD (p = 0.18). In summary, our results suggest a significant genetic overlap between PTSD, autoimmune diseases, and biomarkers of inflammation. PTSD has a putative causal effect on autoimmune thyroid disease, consistent with existing epidemiologic evidence. A previously reported causal effect of CRP on PTSD is potentially confounded by shared genetics. Together, results highlight the nuanced links between PTSD, autoimmune disorders, and associated inflammatory signatures, and suggest the importance of targeting related pathways to protect against disease and disability.

Formidable impediments stand in the way of treatment development for lupus. These include the unwieldy size of current trials, international competition for scarce patients, complex outcome measures and a poor understanding of these outcomes in the world at large. The heterogeneity of the disease itself coupled to superimposition of variegated background polypharmacy has created enough immunological noise to virtually ensure the failure of lupus treatment trials, leaving an understandable suspicion that at least some of the results in testing failed drugs over the years may not have been negative, but merely uninterpretable. The authors have consulted with many clinical trial investigators, biopharmaceutical developers and stakeholders from government and voluntary sectors. This paper examines the available evidence that supports workable trial designs and proposes approaches to improve the odds of completing interpretable treatment development programs for lupus.

Objective

To define candidate criteria within multiphase development of systemic lupus erythematosus (SLE) classification criteria, jointly supported by the American College of Rheumatology and the European League Against Rheumatism. Prior steps included item generation and reduction by Delphi exercise, further narrowed to 21 items in a nominal group technique exercise. Our objectives were to apply an evidence-based approach to the 21 candidate criteria, and to develop hierarchical organization of criteria within domains.

Methods

A literature review identified the sensitivity and specificity of the 21 candidate criteria. Data on the performance of antinuclear antibody (ANA) as an entry criterion and operating characteristics of the candidate criteria in early SLE patients were evaluated. Candidate criteria were hierarchically organized into clinical and immunologic domains, and definitions were refined in an iterative process.

Results

Based on the data, consensus was reached to use a positive ANA of ≥1:80 titer (HEp-2 cells immunofluorescence) as an entry criterion and to have 7 clinical and 3 immunologic domains, with hierarchical organization of criteria within domains. Definitions of the candidate criteria were specified.

Conclusion

Using a data-driven process, consensus was reached on new, refined criteria definitions and organization based on operating characteristics. This work will be followed by a multicriteria decision analysis exercise to weight criteria and to identify a threshold score for classification on a continuous probability scale.

Drug development in lupus has improved over the past 10 years but still lags behind that of other rheumatic disease areas. Assessment of prospective lupus therapies in clinical trials has proved challenging for reasons that are multifactorial including the heterogeneity of the disease, study design limitations and a lack of validated biomarkers which greatly impacts regulatory decision-making. Moreover, most composite outcome measures currently used in trials do not include patient-reported outcomes. Given these factors, the Addressing Lupus Pillars for Health Advancement Global Advisory Committee members who serve on the drug development team identified an opportunity to convene a meeting to facilitate information sharing on completed and existing outcome measure development efforts. This meeting report highlights information presented during the meeting as well as a discussion on how the lupus community may work together with regulatory agencies to simplify and standardise outcome measures to accelerate development of lupus therapeutics.

Objective

Individuals with systemic lupus erythematosus (SLE) are at high risk for infections and SLE- and medication-related complications. The present study was undertaken to define a set of SLE-specific adverse outcomes that could be prevented, or their complications minimized, if timely, effective ambulatory care had been received.

Methods

We used a modified Delphi process beginning with a literature review and key informant interviews to select initial SLE-specific potentially preventable conditions. We assembled a panel of 16 nationally recognized US-based experts from 8 subspecialties. Guided by the RAND-UCLA Appropriateness Method, we held 2 survey rounds with controlled feedback and an interactive webinar to reach consensus regarding preventability and importance on a population level for a set of SLE-specific adverse conditions. In a final round, the panelists endorsed the potentially preventable conditions.

Results

Thirty-five potential conditions were initially proposed; 62 conditions were ultimately considered during the Delphi process. The response rate was 100% for both survey rounds, 88% for the webinar, and 94% for final approval. The 25 SLE-specific conditions meeting consensus as potentially preventable and important on a population level fell into 4 categories: vaccine-preventable illnesses (6 conditions), medication-related complications (8 conditions), reproductive health-related complications (6 conditions), and SLE-related complications (5 conditions).

Conclusion

We reached consensus on a diverse set of adverse outcomes relevant to SLE patients that may be preventable if patients receive high-quality ambulatory care. This set of outcomes may be studied at the health system level to determine how to best allocate resources and improve quality to reduce avoidable outcomes and disparities among those at highest risk.

European League Against Rheumatism and are jointly supporting multiphase development of systemic lupus erythematosus (SLE) classification criteria based on weighted criteria and a continuous probability scale. Prior steps included item generation, item reduction and hierarchical organisation of candidate criteria using an evidence-based approach. Our objectives were to determine relative weights using multicriteria decision analysis (MCDA) and to set a provisional threshold score for SLE classification. An SLE Expert Panel (8 European, 9 North American) submitted 164 real, unique cases with a wide range of SLE probability in a standardised format. Using the candidate criteria, experts scored and rank-ordered 20 representative cases. At an in-person meeting, experts reviewed inter-rater reliability of scoring, further refined criteria definitions and participated in an MCDA exercise. Based on expert consensus decisions on pairwise comparisons of criteria, 1000minds software calculated criteria weights and rank-ordered the remaining 144 cases based on their additive scores. The score of the lowest-ranked case for which complete expert consensus was achieved defined the provisional threshold classification score. Inter-rater reliability of scoring cases with the candidate criteria was good. MCDA involved 74 pairwise decisions and was repeated for the arthritis and mucocutaneous domains when the initial ranking of some cases did not match expert opinion. After criteria weights and additive scores were recalculated once, experts reached consensus for SLE classification for all cases scoring>83. Using an iterative process, the candidate criteria definitions were refined, preliminary weights were calculated and a provisional threshold score for SLE classification was determined.