Prescription Opioid Use in Patients With and Without Systemic Lupus Erythematosus - Michigan Lupus Epidemiology and Surveillance Program, 2014-2015

Associations between CD70 methylation of T cell DNA and age in adults with systemic lupus erythematosus and population controls: The Michigan Lupus Epidemiology & Surveillance (MILES) Program

BACKGROUND

Environmental factors can influence epigenetic regulation, including DNA methylation, potentially contributing to systemic lupus erythematosus (SLE) development and progression. We compared methylation of the B cell costimulatory CD70 gene, in persons with lupus and controls, and characterized associations with age.

RESULTS

In 297 adults with SLE and 92 controls from the Michigan Lupus Epidemiology and Surveillance (MILES) Cohort, average CD70 methylation of CD4+ T cell DNA across 10 CpG sites based on pyrosequencing of the promoter region was higher for persons with SLE compared to controls, accounting for covariates [β = 2.3, p = 0.011]. Using Infinium MethylationEPIC array data at 18 CD70-annoted loci (CD4+ and CD8+ T cell DNA), sites within the promoter region tended to be hypomethylated in SLE, while those within the gene region were hypermethylated. In SLE but not controls, age was significantly associated with pyrosequencing-based CD70 methylation: for every year increase in age, methylation increased by 0.14 percentage points in SLE, accounting for covariates. Also within SLE, CD70 methylation approached a significantly higher level in Black persons compared to White persons (β = 1.8, p = 0.051).

CONCLUSIONS

We describe altered CD70 methylation patterns in T lymphocyte subsets in adults with SLE relative to controls, and report associations particular to SLE between methylation of this immune-relevant gene and both age and race, possibly a consequence of "weathering" or accelerated aging which may have implications for SLE pathogenesis and potential intervention strategies.

Predictors of flare-related inpatient or emergency department stay in systemic lupus erythematosus: A real-world analysis of Medicaid claims in the United States

BACKGROUND

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterized by multisystem inflammation. Medical management of SLE is based on reducing inflammation and tissue damage in the affected organs; however, medications used to treat SLE have been found to contribute to additional organ damage. Therefore, finding new ways to predict and prevent flares that require an inpatient (IP) stay or emergency department (ED) visit is critical for reducing the clinical and economic burden in patients with SLE.

OBJECTIVE

To identify risk factors of SLE flares requiring an IP/ED visit among a Medicaid-insured population with SLE.

METHODS

This retrospective study included patients from the Merative MarketScan Medicaid database (2013-2019). To capture patients at all stages of their SLE journey, all SLE claims for a patient were captured, and the index date was randomly selected among those claims that were at least 12 months after the first evidence of SLE. Patients were required to be continuously enrolled 1-year pre-index (year 1) and post-index (year 2). Demographics, clinical characteristics, and health care use and costs were measured in year 1, and flares requiring an IP/ED visit were identified in year 2 using the Garris algorithm. Multivariable logistic regression and classification and regression tree (CART) modeling were used to identify year 1 predictors and combination of factors, respectively, associated with flares-related IP/ED visits.

RESULTS

Of the 8,083 patients included in the study, 37.6% of patients (n = 3,039) had a flare. Logistic regression identified ED visits in year 1 as one of the strongest predictors of flares-related IP/ED visits in year 2 (odds ratio = 2.19 [95% CI = 1.93-2.49]). SLE treatment progression to biologics (0.54 [0.42-0.70]) was the strongest predictor of decreased odds. Other strong predictors included other neurological disorders (1.63 [1.43-1.87]), Black race (1.49 [1.32-1.68]), chronic kidney disease/renal failure (1.35 [1.10-1.66]), and opioid use (1.30 [1.17-1.45]). CART modeling identified patients with an ED visit, an IP admission, and a diagnosis of Elixhauser Comorbidity Index-defined other neurological disorders in year 1 as having the highest probability of a flare-related IP/ED visit in year 2 (probability = 0.708), whereas patients without an ED visit had the lowest probability (probability = 0.185).

CONCLUSIONS

Patients with the highest risk of a flare that required an IP/ED visit were those with a prior ED visit, IP admission, and other neurological disorders. Modeling also identified patients with prior opioid use, Black patients, and patients without SLE medications as subgroups with a high risk of a flare requiring an IP/ED visit.

Clinical and economic characterization of mild, moderate, and severe systemic lupus erythematosus: Real-world observation across payer channels in the United States

BACKGROUND: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease affecting as many as 322,000 people in the United States. Because of heterogeneity in both disease course and clinical manifestations, it is critical to identify a prevalent SLE population that includes patients with moderate or severe disease. Additionally, differences in the clinical and economic burden of SLE may exist across payer channels, yet to date this has not been reported in any previous studies. OBJECTIVE: To characterize the clinical and economic burden of SLE across disease severity and payer channels. METHODS: This retrospective study included patients from Merative MarketScan Commercial, Medicare Supplemental, and Medicaid databases from 2013 to 2020 (Commercial/Medicare) or 2013 to 2019 (Medicaid), with at least 1 inpatient or at least 2 outpatient SLE claims and no invalid steroid claims. The index date was a random SLE claim with at least 12 months of disease history. Patients were continuously enrolled 1 year pre-index (baseline) and 1 year post-index and classified with mild, moderate, or severe disease using a published algorithm. Baseline demographics, clinical characteristics, flares, and utilization/costs were compared across disease severity. RESULTS: 22,385 Commercial, 2,035 Medicare, and 8,083 Medicaid patients had SLE. Most Medicaid patients (51.1%) had severe disease. Comorbidity scores increased with disease severity (P < 0.001). 30.7% of Commercial, 34.1% Medicare, and 51.3% Medicaid patients had opioids, which increased with disease severity (P < 0.001). All-cause costs ranged from 1.8- to 2.3-fold for moderate vs mild and 4.2- to 6.5-fold for severe vs mild. Outpatient medical costs accounted for the highest proportion of all-cause costs, except Medicaid patients with severe disease, for whom inpatient costs were highest. Mean (SD) SLE-related annual costs were $23,030 (43,304) vs $1,738 (4,427) in severe vs mild for Commercial, $12,264 (31,896) vs $2,024 (4,998) for Medicare, and $7,572 (27,719) vs $787 (3,797) for Medicaid (P < 0.001). For patients with severe disease in Medicaid, 16.5% and 60.1% had inpatient and emergency department (ED) visits, respectively, vs 10.3% and 26.5% Commercial vs 10.6% and 24.6% Medicare. Mean [SD] flares per year in the baseline period increased from 2.5 [1.7] in mild to 4.6 [1.9] in severe for Commercial, 3.2 [1.9] to 5.0 [2.1] for Medicare, and 2.0 [1.6] to 4.5 [2.0] for Medicaid. CONCLUSIONS: Patients with severe SLE experienced more comorbidities, flares, and utilization/costs. Outpatient costs were the largest driver of all-cause costs for Commercial and Medicare (and Medicaid for mild to moderate SLE). Medicaid beneficiaries had the highest rate of severe SLE, highest use of ED and inpatient services, and highest oral corticosteroid and opioid use but the lowest utilization of disease-modifying treatments. Results demonstrate an unmet need in SLE treatment, especially among patients with moderate to severe disease or Medicaid coverage. DISCLOSURES: This study was funded by AstraZeneca. Drs Wu and Bryant are current employees of AstraZeneca and may own stock and/or options. At the time of the study, Ms Perry and Mr Tkacz were employed by IBM Watson Health, which received funding from AstraZeneca to conduct this study.

Long-Term Opioid Therapy Among Patients With Systemic Lupus Erythematosus in the Community: A Lupus Midwest Network (LUMEN) Study

OBJECTIVE

There is little information about the epidemiology and factors associated with opioid therapy in systemic lupus erythematosus (SLE). We aimed to assess the prevalence of opioid therapy and explore factors associated with long-term opioid therapy (LTOT) in patients with SLE.

METHODS

Patients with SLE were matched with controls without SLE in a population-based cohort on January 1, 2015. We captured demographics, manifestations of SLE, comorbidities (ie, fibromyalgia, mood disorders, osteoarthritis, chronic low back pain [CLBP], chronic kidney disease (CKD), avascular necrosis, osteoporosis, fragility fractures, and cancer), and the Area Deprivation Index (ADI). Opioid prescription data were used to assess the prevalence of LTOT, defined as contiguous prescriptions (gaps of < 30 days between prescriptions) and receiving opioid therapy for ≥ 90 days or ≥ 10 prescriptions before the index date.

RESULTS

A total of 465 patients with SLE and 465 controls without SLE were included. In total, 13% of patients with SLE and 3% of controls without SLE were receiving opioid therapy (P < 0.001), and 11% of patients with SLE were on LTOT vs 1% of controls without SLE. Among patients with SLE, acute pericarditis (odds ratio [OR] 3.92, 95% CI 1.78-8.66), fibromyalgia (OR 7.78, 95% CI 3.89-15.55), fragility fractures (OR 3.72, 95% CI 1.25-11.07), CLBP (OR 4.00, 95% CI 2.13-7.51), and mood disorders (OR 2.76, 95% CI 1.47-5.16) were associated with LTOT. We did not find an association between opioid therapy and ADI.

CONCLUSION

Patients with SLE are more likely to receive LTOT than controls. Among patients with SLE, LTOT was associated with pericarditis and several comorbidities. However, LTOT was not associated with CKD despite the limited pain control options among these patients.

Age-Stratified 30-day Rehospitalization and Mortality and Predictors of Rehospitalization Among Patients With Systemic Lupus Erythematosus: A Medicare Cohort Study

OBJECTIVE

Recent studies suggest young adults with systemic lupus erythematosus (SLE) have high 30-day readmission rates, which may necessitate tailored readmission reduction strategies. To aid in risk stratification for future strategies, we measured 30-day rehospitalization and mortality rates among Medicare beneficiaries with SLE and determined rehospitalization predictors by age.

METHODS

In a 2014 20% national Medicare sample of hospitalizations, rehospitalization risk and mortality within 30 days of discharge were calculated for young (aged 18-35 yrs), middle-aged (aged 36-64 yrs), and older (aged 65+ yrs) beneficiaries with and without SLE. Multivariable generalized estimating equation models were used to predict rehospitalization rates among patients with SLE by age group using patient, hospital, and geographic factors.

RESULTS

Among 1.39 million Medicare hospitalizations, 10,868 involved beneficiaries with SLE. Hospitalized young adult beneficiaries with SLE were more racially diverse, were living in more disadvantaged areas, and had more comorbidities than older beneficiaries with SLE and those without SLE. Thirty-day rehospitalization was 36% among young adult beneficiaries with SLE-40% higher than peers without SLE and 85% higher than older beneficiaries with SLE. Longer length of stay and higher comorbidity risk score increased odds of rehospitalization in all age groups, whereas specific comorbid condition predictors and their effect varied. Our models, which incorporated neighborhood-level socioeconomic disadvantage, had moderate-to-good predictive value (C statistics 0.67-0.77), outperforming administrative data models lacking comprehensive social determinants in other conditions.

CONCLUSION

Young adults with SLE on Medicare had very high 30-day rehospitalization at 36%. Considering socioeconomic disadvantage and comorbidities provided good prediction of rehospitalization risk, particularly in young adults. Young beneficiaries with SLE with comorbidities should be a focus of programs aimed at reducing rehospitalizations.

Polypharmacy and Potentially Inappropriate Medication Use in Older Adults With Systemic Lupus Erythematosus

OBJECTIVE

To assess the prevalence and potential risk factors for polypharmacy and prescribing of the potentially inappropriate medications, opioids and benzodiazepines/Z-drugs, in older adults with systemic lupus erythematosus (SLE).

METHODS

The study population comprised adults age ≥50 years meeting American College of Rheumatology or Systemic Lupus International Collaborating Clinics classification criteria followed at a tertiary care rheumatology clinic. Information on prescriptions filled in the 4 months preceding chart review was obtained from the Manitoba Drug Program Information Network. Clinical data, including age, sex, Charlson Comorbidity Index (CCI) score, Systemic Lupus Erythematosus Disease Activity Index 2000 score, prednisone use, SLE duration, and rural residence were abstracted from electronic medical records. Logistic regression analyses were performed to assess any association between polypharmacy (using 2 definitions: ≥5 and ≥10 medications), potentially inappropriate medication use, and clinical features.

RESULTS

A total of 206 patients (mean age 62 years, 91% female, 36% rural) were included: 148 (72%) filled ≥5 medications, 71 (35%) filled ≥10 medications, 63 (31%) used benzodiazepines/Z-drugs, and 50 (24%) used opioids. Among the 77 patients age ≥65 years, 57 (74%) filled ≥5 medications, and 26 (34%) filled ≥10 medications, compared to 30% and 4%, respectively, of Manitobans age ≥65 years (National Prescription Drug Utilization Information System, 2016). The odds of polypharmacy were greater with prednisone use (adjusted odds ratio [OR] 3.70 [95% confidence interval (95% CI) 1.40-9.79] for ≥5 medications), CCI score (adjusted OR 1.62 [95% CI 1.20-2.17]), and rural residence (adjusted OR 2.05 [95% CI 1.01-4.18]). Odds of benzodiazepine/Z-drug use were increased with polypharmacy (adjusted OR 4.35 [95% CI 1.69-11.22]), and odds of opioid use were increased with polypharmacy (adjusted OR 6.75 [95% CI 1.93-23.69]) and CCI score (adjusted OR 1.29 [95% CI 1.08-1.54]).

CONCLUSION

The prevalence of polypharmacy in this SLE cohort was higher than in the general Manitoban population. Polypharmacy is a strong marker for use of prescription benzodiazepines/Z-drugs and opioids.

Cost-Effectiveness of Acthar Gel Versus Standard of Care for the Treatment of Exacerbations in Moderate-to-Severe Systemic Lupus Erythematosus

INTRODUCTION

Despite current standard of care (SoC), there is an unmet need for the treatment of active systemic lupus erythematosus (SLE). The study assessed the cost-effectiveness of Acthar^® Gel (repository corticotropin injection) versus SoC treatment in patients with active, moderate-to-severe SLE from the US payer and societal perspectives over 2 and 3 years.

METHODS

Cost-effectiveness model was developed using a probabilistic cohort-level state-transition approach. Patients received Acthar Gel in an exacerbation state, and the outcomes were assessed at the end of a 3-month cycle for response achievement based on the probability of treatment success with Acthar Gel. Patients may sustain the response or experience an exacerbation. For the base case scenario, moderate-to-severe SLE was defined as British Isles Lupus Assessment Group (BILAG)-2004 ≥ 20 or SLE Disease Activity Index 2000 (SLEDAI-2K) ≥ 10 and clinical response was based on SLE responder index (SRI)-4. Clinical response, productivity loss, and utility were derived from a phase 4 SLE trial; cost and disutility estimates were sourced from the literature.

RESULTS

From a payer perspective, Acthar Gel versus SoC resulted in an incremental cost-effectiveness ratio (ICER) of $133,110 per quality-adjusted life-year (QALY) and $94,818 per QALY over 2 and 3 years, respectively. From a societal perspective, Acthar Gel versus SoC results in an ICER of $70,827 per QALY and $32,525 per QALY over 2 and 3 years, respectively. Results from the sensitivity and scenario analyses are consistent with those of the base case model.

CONCLUSIONS

Acthar Gel is a cost-effective, value-based treatment option for appropriate patients with moderate-to-severe SLE at a willingness-to-pay threshold of $150,000 over 2-3 years from the US payer and societal perspectives. Acthar Gel results in the reduction of direct medical and indirect costs.

Optimizing Medication Use in Older Adults With Rheumatic Musculoskeletal Diseases: Deprescribing as an Approach When Less May Be More

The world population is aging, and the rheumatology workforce must be prepared to care for medically complex older adults. We can learn from our colleagues and experts in geriatrics about how to best manage multimorbidity, polypharmacy, geriatric syndromes, and shifting priorities of older adults in the context of delivering care for rheumatic and musculoskeletal diseases (RMDs). Polypharmacy, a common occurrence in an aging population with multimorbidity, affects half of older adults with RMDs and is associated with increased risk of morbidity and mortality. In addition, potentially inappropriate medications that should be avoided under most circumstances is common in the RMD population. In recent years, deprescribing, known as the process of tapering, stopping, discontinuing, or withdrawing drugs, has been introduced as an approach to improve appropriate medication use among older adults and the outcomes that are important to them. As the rheumatology patient population ages globally, it is imperative to understand the burden of polypharmacy and the potential of deprescribing to improve medication use in older adults with RMDs. We encourage the rheumatology community to implement geriatric principles, when possible, as we move toward becoming an age-friendly health care specialty.

The Problem of Pain in Rheumatology: Clinical Profiles Associated With Concomitant Diagnoses With Chronic Overlapping Pain Conditions

OBJECTIVE

The chronification of pain is heterogeneous in rheumatology. Chronic overlapping pain conditions (COPCs) such as fibromyalgia, endometriosis, migraine, and back pain may co-occur with one another and in rheumatic diseases. We describe the sociodemographic and clinical profiles associated with concomitant COPCs among patients with rheumatic diseases.

METHODS

We retrospectively identified patients visiting rheumatology clinics at a single institution from 2010 to 2020 for five common rheumatic conditions: psoriatic arthritis (PsA), rheumatoid arthritis (RA), Sjögren syndrome (SjS), systemic lupus erythematosus (SLE), and systemic sclerosis (SSc). We compared sociodemographic, clinical, and lifestyle factors by rheumatic condition and by COPC status. We also report sex-stratified diagnosis of COPCs. The primary outcome was diagnostic validation of one or more COPCs.

RESULTS

We identified 5992 rheumatology patients: 846 with PsA, 2605 with RA, 956 with SjS, 975 with SLE, and 610 with SSc. Approximately 36-62% of patients had a concomitant COPC diagnosis. Patients with SjS had the highest prevalence (62%). Diagnosis of one or more COPCs was highest among Black patients and lowest among Asian patients. Patients using public insurance had a higher prevalence of one or more COPCs compared with those with private insurance. Patients with one or more COPCs had more depression and anxiety and more frequent emergency department visits, surgeries, and hospitalizations.

CONCLUSION

Our findings suggest that COPCs are strikingly common among patients with rheumatic disease and are associated with lower quality of life and greater health care needs. Future research may elucidate drivers of chronic pain and how to best address the unique analgesic needs of this multimorbid population.

Pain profile and opioid medication use in patients with idiopathic inflammatory myopathies

OBJECTIVES

Pain is commonly reported in people living with myositis. This study assesses the presence of pain in the subtypes of myositis as well as the frequency of opioid and non-opioid pain medication use.

METHODS

A survey was developed and distributed by Myositis Support and Understanding, a patient-led advocacy organization, to members of its group. Multivariate logistic regression analysis and chi-squared tests were performed.

RESULTS

A total of 468 participants completed the survey. A total of 423 participants (DM n = 183, PM n = 109 and IBM n = 131) were included, based on reported diagnosis, for final analysis. Some 91.5% of myositis participants reported current or past pain, with 99% attributing their pain to myositis. There was a lower likelihood of pain in participants aged >60 years [odds ratio (OR) 0.2, 95% confidence interval (CI) 0.1, 0.6, P = 0.003]. The percentage of participants reporting pain was statistically different based on myositis type (DM 97.2%, IBM 80.9% and PM 94.5%, P < 0.001), with a higher likelihood of pain in DM compared with IBM (OR 3.7, 95% CI 1.3, 10.2, P = 0.011). There was a lower likelihood of pain in participants aged >60 years (OR 0.2, 95% CI 0.1, 0.6, P = 0.003). Of the 387 participants reporting pain, 335 reported using pain medications (69% prescribed opioids). Male sex, age >60 years and myositis subtype were not associated with likelihood of non-opioid use.

CONCLUSION

Pain is a commonly reported symptom in myositis with variable treatment strategies, including opioid medications. This study highlights the importance of addressing pain as part of myositis treatment as well as the need for future studies understanding treatment effectiveness.

Review of publications evaluating opioid use in patients with inflammatory rheumatic disease

PURPOSE OF REVIEW

This article discusses publications assessing the prevalence, efficacy, and safety of opioid analgesics in patients with rheumatic diseases, including rheumatoid arthritis, systemic lupus erythematosus, psoriatic arthritis, ankylosing spondylitis, and systemic sclerosis.

RECENT FINDINGS

Recent studies show long-term opioid use is common in patients with inflammatory rheumatic disease. We did not find any studies demonstrating improved function or pain control with long-term opioid use in people with rheumatic diseases. Some data shows potential adverse effects including increased risk for fractures and opioid poisoning hospitalizations. There is evidence demonstrating an association of opioid use with mental health disorders, fibromyalgia, obesity, and disability, although causative links have not been established. Only minimal reductions in opioid use were observed after initiation of biologic disease modifying antirheumatic drugs (DMARDs). Studies have shown delayed DMARD initiation and reduced DMARD use in patients on opioids, raising concerns that these analgesics may delay care or initially mask symptoms of active disease.

SUMMARY

Available literature highlights high levels of opioid use in people with rheumatic disease, without scientific evidence to support efficacy for chronic pain control and increasing evidence of adverse events. These findings strongly suggest that opioids do not have a routine role in the chronic management of inflammatory rheumatic diseases.

Surgical and Pharmacological Treatment Patterns in Women with Endometriosis: A Descriptive Analysis of Insurance Claims

Background: Many women with endometriosis experience chronic abdominal pain. Clinical guidelines recommend treatment with analgesics, contraceptive hormones, gonadotropin-releasing hormone analogs, and surgery. Treatment patterns in women with endometriosis are not well characterized. Methods: Data from the IBM^® MarketScan^® Commercial Database were accessed from 2009 to 2017. One-year baseline and follow-up periods were defined around the date of the first claim with a diagnosis of endometriosis (the index date). Women 18-49 years of age on the index date with a diagnosis of endometriosis, continuous enrollment during baseline and follow-up, and pharmacy benefits were included. The following outcomes were analyzed descriptively: baseline comorbidities; medication use and surgeries; and sequence of treatment utilization in the baseline and the follow-up period. Results: A total of 190,921 women were included. The mean ± (standard deviation) age was 39.0 ± (7.3), and abdominal/pelvic pain (36.0%) and excessive or frequent menstruation (32.0%) were the most prevalent comorbidities. In the baseline period, the utilization of pharmacological treatment was: estrogen/progestin 42.5%, opioids 41.5%, and nonsteroidal anti-inflammatory drugs (NSAIDs) 37.5%. In the follow-up period, utilization of opioids and NSAIDs increased to 68.9% and 51.1%, respectively, whereas the use of estrogen/progestin dropped to 23.8%. Surgeries were infrequent in the baseline period (6.3%). However, in the follow-up period, 27.9% of women underwent laparoscopy and 29.7% had a hysterectomy, with a total of 68.1% of the study population undergoing surgical treatment. Conclusions: A diagnosis of endometriosis is accompanied by an increase in the use of analgesics and surgical procedures. The diversity of treatments suggests a lack of clarity in management guidelines.

Corticosteroid dosing and opioid use are high in patients with SLE and remain elevated after belimumab initiation: a retrospective claims database analysis

Objectives

To investigate corticosteroid and opioid use among patients with SLE and to examine the impact of belimumab initiation on the use of other SLE therapies.

Methods

We identified adult patients with SLE (International Classification of Diseases, 9th Revision/10th Revision 710.0 and M32) between 1 January 2012 and 31 May 2018 (earliest SLE diagnosis=index date) within MarketScan administrative claims data. Patients were followed from index date for a minimum of 12 months and until the earlier of disenrolment in their health plan or study end (31 May 2018). Corticosteroid utilisation, corticosteroid dose (in prednisone equivalents) and opioid utilisation (overall, by strength (weak, strong) and by duration (chronic use defined as >90 days of cumulative drug supply)) were measured during follow-up. Oral corticosteroid and opioid use were compared in the 6 months before and after initiation of belimumab.

Results

There were 49 413 patients with SLE eligible for analysis (mean (SD) age: 50.1 (14.0) years, 90.2% female). Of these, 68.5% received corticosteroids, and the average number of prescriptions was 4.59 (4.11) over the first 12 months of follow-up. Among patients with oral corticosteroids, average daily dose was 19.4 (14.2) mg and 59.6% had an average daily dose of ≥15 mg. Half (52.6%) had at least one opioid prescription and of these, 34.6% had chronic use over the first 12 months of follow-up. Among patients initiating belimumab during follow-up (n=1710), oral corticosteroid use decreased by 9.1% (p=0.001), and average daily dose decreased from 14.5 (18.4) mg to 11.9 (18.0) mg (p<0.001) in the 6 months after initiation compared with the 6 months prior. Initiation of belimumab had no impact on prevalence of opioid use.

Conclusions

A high proportion of patients with SLE are treated with corticosteroids to control SLE and opioid therapy to manage chronic pain. While there was no change in opioid use, oral corticosteroid use and dose intensity decreased following initiation of belimumab.

Comorbidity and healthcare utilisation in persons with incident systemic lupus erythematosus followed for 3 years after diagnosis: analysis of a claims data cohort

Objective

To analyse comorbidity and healthcare utilisation in individuals with SLE.

Methods

A cohort of individuals with incident SLE diagnosis in 2016 were investigated using claims data from a German statutory health insurance fund. Concomitant diagnoses, medical prescriptions, hospitalisation and sick leave were analysed in the year prior to diagnosis and during a 3-year follow-up in comparison with age-matched and sex-matched controls (1) without autoimmune diseases and (2) with incident diabetes mellitus. Sensitivity analyses were performed excluding cases with additional autoimmune diagnoses and without prescription of antimalarials.

Results

Among 571 individuals with SLE, hypertension (48%), depression (30%), hyperlipidaemia (25%), osteoarthritis (25%) and osteoporosis (20%) were the most frequent comorbidities in 2016. Cerebrovascular disease was documented in 9.6%. The number of drugs (mean 9.6, ∆+6.2), hospitalisation (40%, ∆+27%) and days on sick leave (median 46 days, ∆+27 days) increased significantly in the first year with SLE diagnosis. Individuals with SLE were more frequently hospitalised and had more medications compared with both control groups (all p<0.001). The increase in comorbidity diagnoses was low in controls without autoimmune diseases, while controls with diabetes showed a more pronounced increase in cardiovascular risk factors, but less in osteoporosis and cerebrovascular disease. Sensitivity analyses showed comparable results.

Conclusion

Comorbidities are frequently detected at the time of diagnosis of SLE. High numbers of drug prescriptions and hospitalisation following SLE diagnosis reflect the comprehensive disease burden. The comparison with incident diabetes shows that differences with controls without autoimmune disease are overestimated by detection bias.

One Quarter of Medicare Hospitalizations in Patients with Systemic Lupus Erythematosus Readmitted within Thirty Days

OBJECTIVE

Thirty-day hospital readmissions in systemic lupus erythematosus (SLE) approach proportions in Medicare-reported conditions including heart failure (HF). We compared adjusted 30-day readmission and mortality among SLE, HF, and general Medicare to assess predictors informing readmission prevention.

METHODS

This database study used a 20% sample of all US Medicare 2014 adult hospitalizations to compare risk of 30-day readmission and mortality among admissions with SLE, HF, and neither per discharge diagnoses (if both SLE and HF, classified as SLE). Inclusion required live discharge and ≥12 months of Medicare A/B before admission to assess baseline covariates including patient, geographic, and hospital factors. Analysis used observed and predicted probabilities, and multivariable GEE models clustered by patient to report adjusted risk ratios (ARRs) of 30-day readmission and mortality.

RESULTS

SLE admissions (n=10,868) were younger, predominantly female, more likely to be Black, disabled, and have Medicaid or end-stage renal disease (ESRD). Observed 30-day readmissions of 24% were identical for SLE and HF (p = 0.6), and higher than other Medicare (16%, p < 0.001). Both SLE and HF had elevated readmission risk (ARR 1.08, (95% CI (1.04, 1.13)); 1.11, (1.09, 1.13)). SLE readmissions were higher for Black (30%) versus White (21%) populations, and highest in ages 18-33 (39%) and ESRD (37%). Admissions of Black patients with SLE from least disadvantaged neighborhoods had highest 30-day mortality (9% versus 3% White).

CONCLUSION

Thirty-day SLE readmissions rivaled HF at 24%. Readmission prevention programs should engage young, ESRD patients with SLE and examine potential causal gaps in SLE care and transitions.

Predictors of Adverse outcomes in patients with systemic lupus erythematosus transitioning to adult care

BACKGROUND

The transition from pediatric to adult care is a vulnerable period for individuals with chronic diseases. We sought to identify risk factors associated with poor outcomes in patients with childhood-onset systemic lupus erythematosus (cSLE) who have transitioned to adult care.

METHODS

A retrospective analysis of cSLE patients was performed. Outcomes of interest were development of end-stage renal disease (ESRD) or death and time to first hospitalization following final pediatric rheumatology visit. Multivariable logistic and Cox regression models were used.

RESULTS

Of 190 patients with cSLE, 21 (11%) developed ESRD and 9 (5%) died following the final pediatric rheumatology visit. In logistic regression, public insurance, history of Child Protective Services involvement, and an unscheduled hospitalization during the final year in pediatric care were predictive of ESRD or death (odds ratio (95% confidence intervals (CI)) 6.7 (1.5-30.7), 6.6 (2.3-19.1), and 3.2 (1.3-8.3), respectively). Among 114 patients with healthcare utilization data, 53% had a hospitalization in adult care. In Cox regression analysis, a pediatric outpatient opioid prescription was associated with shorter time to adult hospitalization and White or Asian race was associated with longer time to adult hospitalization (hazard ratio (CI) 3.5 (1.7-7.0) and 0.1 (0.03-0.4), respectively).

CONCLUSIONS

Risks factors associated with poor outcomes in adult care amongst patients with cSLE include public insurance, history of Child Protective Services involvement, unscheduled care utilization in pediatric care, pediatric outpatient opioid prescription, Black race and Hispanic ethnicity. Efforts to improve long-term outcomes among patients with cSLE should focus on these populations.

Validation of the Japanese version of the Lupus Damage Index Questionnaire in a large observational cohort: A two-year prospective study

OBJECTIVES

The Lupus Damage Index Questionnaire (LDIQ) is a validated patient-reported outcome measure to assess accumulated damage in systemic lupus erythematosus (SLE). We aimed to translate it into Japanese and further investigate its validity and reliability.

METHODS

The English version of the LDIQ was translated into Japanese and administered to Japanese patients with SLE (n = 259) at our university clinic. Physicians simultaneously completed the Systemic Lupus International Collaborating Clinics Damage Index (SDI) and SLE Disease Activity Index 2000 (SLEDAI-2K). Patients were prospectively followed for a repeat assessment the following year.

RESULTS

The median LDIQ score was 2.0. The LDIQ demonstrated substantial correlation with the SDI but poor correlation with the SLEDAI-2K (Spearman's ρ = 0.75 and -0.08, respectively). These results suggested its convergent and discriminant validity. The LDIQ demonstrated good test-retest reliability (intraclass correlation coefficient = 0.85). When the effect size and standardized response mean for the LDIQ were assessed only in patients who had a change ≥1 in the SDI, they demonstrated a small to moderate responsiveness: 0.43 and 0.59, respectively.

CONCLUSION

The Japanese version of the LDIQ had acceptable reliability and validity and its performance was comparable with the original version.