Evaluating the cost-effectiveness of voclosporin for the treatment of lupus nephritis in the United States
Bibliographic record
Abstract
BACKGROUND: Lupus nephritis (LN) is a severe manifestation of systemic lupus erythematosus; up to 30% of patients with LN will develop end-stage kidney disease (ESKD). One of the main treatment goals for LN is preservation of kidney function, with early decreases in proteinuria associated with improved long-term outcomes. Voclosporin, a second-generation calcineurin inhibitor, was approved in the United States in 2021 for the treatment of active LN combined with background immunosuppression. The AURORA 1 study found that the use of voclosporin with low doses of mycophenolate mofetil and glucocorticoids yielded significant reductions in proteinuria. The AURORA 2 study showed long-term efficacy and safety of voclosporin over a 3-year period with kidney function preservation. The Institute for Clinical and Economic Review (ICER) is a nonprofit organization that evaluates medical evidence to help improve patient outcomes and control costs. In 2021, ICER published an economic model to estimate the impact and cost-effectiveness of LN therapies. From a US health care perspective, voclosporin was cost-effective at $149,260 per quality-adjusted life-year (QALY) and $131,528 per equal value of life-years gained (evLYG). At the time of the LN cost-effectiveness model (CEM) development, voclosporin was not yet approved in the United States and the cost of treating patients with LN with ESKD was not captured in the literature. OBJECTIVE: To evaluate the cost-effectiveness of voclosporin given the emergence of new data. METHODS: The LN CEM uses a short-term trial-based Markov model and long-term extrapolation using partitioned survival modeling data assuming adults with LN start with active disease, transitioning to complete or partial renal response, kidney failure, or death. In the current analysis, clinical data for voclosporin, duration of voclosporin treatment for nonresponders, and drug costs reflecting the 2023 price of voclosporin were updated. Additionally, health care payer costs of disease management were incorporated based on real-world claims data on the costs of treating patients with LN. RESULTS: Using the LN CEM with inputs reflecting the latest and most relevant evidence, the incremental cost of voclosporin per QALY was $88,076 and per evLYG was $77,643. For a subpopulation of Black, Hispanic, and Latino patients, the incremental cost of voclosporin per QALY was $77,435 and per evLYG was $67,828. CONCLUSIONS: Following the inclusion of updated data in the cost-effectiveness analysis, voclosporin remains a cost-effective therapy for the treatment of active LN including in a Black, Hispanic, and Latino subpopulation, substantially below the ICER willingness-to-pay threshold of $150,000/QALY.
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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 | 0.014 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".