Valsartan combined with clopidogrel and/or leflunomide for the treatment of progressive immunoglobulin A nephropathy
Bibliographic record
Abstract
AIM: The current standard treatment for IgA nephropathy relies on steroid and/or immunosuppressive therapy and angiotensin converting enzyme inhibitors (ACEI) or angiotensin receptor blocker (ARB). This study examines the benefits and safety of combining valsartan with clopidogrel and leflunomide as a treatment for progressive IgA nephropathy. METHODS: Patients with primary IgA nephropathy, confirmed by renal biopsy, were recruited for this study. Patients were separated into four groups (n = 42 each) after 2 months of run-in period of valsartan treatment. All patients were treated with valsartan alone (Group 1) or valsartan and either clopidogrel (Group 2) or leflunomide (Group 3) or both clopidogrel and leflunomide (Group 4). Each group was followed up for their next 24 months for 24 h urinary protein excretion, serum creatinine and estimated glomerular filtration rate (eGFR) to assess the effect of the treatment. Adverse effects were recorded concurrently to evaluate the safety of the treatment. RESULTS: Of all 168 patients, 107 were males and 61 were females, with an average age of 33.8 ± 8.79 years. Baseline characteristics were comparable among the four groups (P > 0.05) prior to the experimental treatment. There was a significant (P < 0.05) decrease in 24 h urinary protein excretion after 4 months of experimental treatment. At the end of the 24 months, groups 3 and 4 showed a respective 62.35% and 69.47% reduction in proteinuria. The serum creatinine was significantly higher (P < 0.05) in group 1 and 2 at the end of the follow-up, and their respective eGFR was significantly lower. The incidence of cardiovascular complication was 11.9% and 9.5% for group 1 and 3, respectively. CONCLUSIONS: The treatment with Valsartan combined with Clopidogrel and Leflunomide can reduce the urinary proteins loss and renal function deterioration for IgA nephropathy patients and cause minimal adverse reactions. Our study suggests a new clinical treatment option for IgA nephropathy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".