POS0694 REAL-WORLD ECONOMIC IMPLICATIONS OF ACHIEVING LOW DISEASE ACTIVITY IN LUPUS NEPHRITIS
Bibliographic record
Abstract
Background: Lupus nephritis (LN) is a common and severe manifestation of systemic lupus erythematosus (SLE) affecting 50% of SLE patients and leading to end-stage kidney disease (ESKD) in up to 30% of patients with LN.1 Previous studies have reported higher healthcare costs in patients with SLE that develop LN compared to patients without LN.2-5 These studies captured overall treatment costs associated with LN, regardless of disease activity or severity, and were conducted in small patient populations. Objectives: The aim of this study was to assess the real-world economic implications of achieving low disease activity compared to active disease or ESKD in a large LN population. Methods: This study was a retrospective observational analysis of patients with LN within Optum’s health plan identified with ICD9 or ICD10 codes to have LN between January 1, 2015, and December 31, 2019. Patients were ≥18 years of age and had ≥2 months of follow-up data available. Patients were followed until death, loss to follow-up, or December 31, 2019. Low disease activity was defined by evidence of glucocorticoid doses ≤5 mg/day, evidence of mycophenolate mofetil (MMF) doses ≤2 g/day, and no use of cyclophosphamide for ≥6 consecutive months. Follow-up time that could not be defined as low disease activity was defined as active disease periods, except for periods with evidence of ESKD. Healthcare payer costs for medical and pharmacy services were compared between periods of low disease activity, active disease, and ESKD. A univariate generalized estimating equation model accounting for interdependence was used to compare differences in costs between periods of active and low disease activity. Results: A total of 21,251 patients with LN met study criteria with a mean follow-up time of 31.0 months. The mean age was 60.3 years; 86.9% of patients were female and 35.2% of patients were non-White race. Low disease activity was evident in 51.3% of patients with a mean duration of 27.5 months. Mean monthly medical costs were $2,523 during periods of low disease activity and $4,777 during periods of active disease. After factoring in pharmacy costs, mean monthly total costs were $3,584 during periods of low activity and $6,612 during periods of active disease (P<0.001). The mean monthly costs of ESRD were $18,084 for medical and $3,760 for pharmacy. Conclusion: Achieving low disease activity in patients with LN is associated with reduced economic burden to healthcare payers, with monthly medical costs averaging $2,254 less and total monthly costs averaging $3,028 less than costs during periods of active disease. References: [1]Parikh SV et al. Update on Lupus Nephritis: Core Curriculum 2020. Am J Kidney Dis. 2020;76(2):265-281. [2]Bartels-Peculis L et al. Treatment patterns and health care costs of lupus nephritis in a United States payer population. Open Access Rheumatol. 2020;12:117-124. [3]Furst DE et al. Medical costs and healthcare resource use in patients with lupus nephritis and neuropsychiatric lupus in an insured population. J Med Econ. 2013;16(4):500-509. [4]Li T et al. Long-term medical costs and resource utilization in systemic lupus erythematosus and lupus nephritis: a five-year analysis of a large Medicaid population. Arthritis Rheum. 2009;61(6):755-763. [5]Pelletier EM et al. Economic outcomes in patients diagnosed with systemic lupus erythematosus with versus without nephritis: results from an analysis of data from a US claims database. Clin Ther. 2009;31(11):2653-2664. Disclosure of Interests: Maria Dall’Era Speakers bureau: Consulting agreement with Aurinia for Advisory Boards and educational lectures, Tim Hermes Shareholder of: Aurinia Pharmaceuticals Inc., Employee of: Aurinia Pharmaceuticals Inc., Michael Eaddy Consultant of: Aurinia Pharmaceuticals Inc., Augustina Ogbonnaya Consultant of: Aurinia Pharmaceuticals Inc., Eileen Farrelly Consultant of: Aurinia Pharmaceuticals Inc., Paola Mina-Osorio Shareholder of: Aurinia Pharmaceuticals Inc., Employee of: Aurinia Pharmaceuticals Inc.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".