Objective

To identify factors associated with clinical outcome in patients with lupus nephritis.

Methods

Data from the Aspreva Lupus Management Study (ALMS) were analysed. Using multivariate analysis, we assessed the prognostic value of demographic, clinical, laboratory and histopathological features on the frequency of either complete remission (CR) or treatment failure (TF) during the maintenance phase.

Results

Among the 370 subjects who entered the trial (complete population), non-Hispanic ethnicity was associated with a higher likelihood of CR (OR=2.0). Several factors were independently associated with a greater likelihood of TF, including: (1) anti-double-stranded DNA (anti-dsDNA) at trial entry (OR=12.7), (2) failure to reduce anti-dsDNA within 8 weeks (OR=2.9) and (3) failure to reduce urine protein:creatinine ratio (UP/C) by ≥25% within 8 weeks (OR=2.6). Among the 227 subjects who entered the maintenance phase (maintenance population), baseline estimated glomerular filtration rate (eGFR) ≥90 mL/min/1.73 m(2) was associated with a greater likelihood of CR (OR=2.0), and UP/C >1 at the end of induction was associated with a lower likelihood of CR (OR=0.3). Induction treatment with intravenous cyclophosphamide (IVC) was associated with a lower likelihood of TF (OR=0.5), while lack of treatment with antimalarials (OR=2.4), failure to reduce anti-dsDNA during the first 8 weeks of induction (OR=3.5), failure to reduce UP/C during the first 8 weeks of induction (OR=2.1) and anti-dsDNA positivity at the end of induction (OR=8.3) were independently associated with a greater likelihood of TF.

Conclusions

This analysis demonstrates that levels of anti-dsDNA and UP/C during induction treatment are independently associated with renal outcome over the ensuing 3 years in both the complete and maintenance populations. Ethnicity is associated with renal outcome in just the complete population, and eGFR, induction treatment and treatment with antimalarials are associated with renal outcome in just the maintenance population.

BACKGROUND: Lupus nephritis (LN) is a common and severe complication of systemic lupus erythematosus (SLE), with approximately 40% of patients with SLE developing LN. Even with treatment, 10%-30% of patients will progress to end-stage renal disease (ESRD). Although many studies have assessed the clinical value of low disease activity in LN, the economic implications are less defined. OBJECTIVE: To evaluate treatment utilization and health care costs associated with active disease, low disease activity, and ESRD in patients with LN. METHODS: A retrospective analysis of Optum pharmacy and medical claims data from 2015 to 2019 was performed and included patients with a diagnosis of SLE (International Classification of Diseases, Ninth Revision or Tenth Revision codes 710.0 or M32, respectively) and additional prespecified criteria for LN. Total health care payer costs for medical and pharmacy services and treatment utilization for commonly prescribed medications were determined for periods of low disease activity, active disease, or ESRD. RESULTS: A total of 21,251 patients (mean age 60.3 years; 87% female; 55% White patients and 18% Black patients) with a mean follow-up period of 30.6 months were included; the majority of patients had active disease (67.3%), followed by low disease activity (51.3%), and ESRD (10.5%). Glucocorticoids were used 2 times more often and mycophenolate mofetil was used 4 times more often in patients with active disease vs low disease activity. Glucocorticoids, mycophenolate mofetil, and tacrolimus were more commonly used in patients with ESRD vs those with low disease activity. Mean medical costs were $4,777 per month in active disease and $18,084 per month in ESRD vs $2,523 per month in low disease activity. CONCLUSIONS: Treatment burden and costs are high for patients with active disease and ESRD in LN. Treatments that allow patients to achieve and maintain low disease activity may help improve patient outcomes and reduce medication use and overall health care costs. DISCLOSURES: Maria DallEra and Kenneth Kalunian are consultants of Aurinia Pharmaceuticals. Eric Turowski, Vanessa Birardi, Neil Solomons, Simrat Randhawa, and Paola Mina-Osorio are employees and stockholders of Aurinia Pharmaceuticals. Michael Eaddy is a former employee of Xcenda, LLC. Augustina Ogbonnaya and Eileen Farrelly are employees of Xcenda, LLC, which was contracted by Aurinia Pharmaceuticals to assist in the conduct of this study and the writing of this manuscript. Aurinia Pharmaceuticals provided funding for this study and the preparation of the manuscript. Aurinia Pharmaceuticals had a role in writing the report and decision to submit for publication.

Objective

To evaluate response duration and identify predictors of transitioning into and out of the response state in patients with SLE receiving standard of care (SoC) in 52-week clinical trials.

Methods

A multistate model (MSM) allowing for bidirectional transitions between response and non-response states was fit to data on 759 patients with SLE with active disease randomised to SoC. The probability of being in response at 52 weeks, average duration of response (sojourn time) and mean total time in response for SLE Responder Index (SRI-4, SRI-5, SRI-6) and BILAG-based Composite Lupus Assessment (BICLA) were estimated. Predictors of attainment and loss of SRI-5 response were also assessed.

Results

The MSM estimated probability of being in response at 52 weeks ranged from 42% (SRI-6) to 61% (SRI-4). Mean duration of response ranged from 20.4 weeks (BICLA) to 31.5 weeks (SRI-4). Mean total time in response was 16.4-24.8 weeks. Baseline characteristics predictive of shorter SRI-5 response duration were African descent (p=0.005), longer history of disease (p=0.03), higher anti-dsDNA antibody titres (p=0.039), lower lymphocyte count (p=0.008) and lower haemoglobin (p=0.006). Younger age (p<0.001) and higher protein/creatinine ratio (p<0.001) were associated with higher likelihood of achieving SRI-5 but also shorter response duration.

Conclusion

Factors associated with disease severity were more predictive of shorter response duration than of 52-week response status. Analysing landmark response rates and response duration using MSM may be a more powerful way to distinguish effective investigational treatments from background SoC, although this remains to be evaluated in future trials.