The population-level costs of immunosuppression medications for the treatment of glomerulonephritis are increasing over time due to changing patterns of practice
Bibliographic record
Abstract
Background: Immunosuppression (IS) is the main treatment for most types of glomerulonephritis (GN). Quantifying the cost of IS is necessary to ensure equitable access to therapies and optimal health outcomes, but the real-world cost of IS treatment for GN is largely unknown. We examined temporal changes in the population-level IS medication costs for GN over a 14-year period in a large Canadian province. Methods: We linked a provincial pathology database (containing all GN cases from 2000 to 2012) with renal and medication administrative databases to capture clinical characteristics and IS medications, with follow-up until 2013. The primary outcome (mean IS medication cost per treated patient each year) was evaluated for trends over time. Results: The cohort included 2983 GN patients followed for a mean of 5.7 years. The yearly per-patient medication cost increased 6.8-fold from $205 to $1394 (P < 0.001), with significant increases of 3.5-11.7-fold in anti-neutrophil cytoplasmic antibody (ANCA) vasculitis, focal segmental glomerulosclerosis, lupus nephritis, minimal change disease and membranous nephropathy (P ≤ 0.004), but no change in immunoglobulin A (IgA) nephropathy. The cost of mycophenolate mofetil, calcineurin inhibitors and rituximab increased significantly (P < 0.001) such that in 2000 they accounted for 17.6% of medication costs and were used by 2.2% of patients, which increased to 94.5% and 44.6%, respectively, in 2013. The costs of azathioprine, cyclophosphamide and prednisone increased only slightly or decreased. Patterns of drug use and contribution to cost varied by type of GN. Conclusions: These are the first population-level estimates of the IS treatment costs for GN, and demonstrate a striking increase due to changing practice patterns from older, cheaper medications to newer, more expensive therapies. These results provide important information to guide future health policy strategies and cost-effectiveness research in glomerular diseases.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".