Effects of N-Acetylcysteine on Evolution of Kidney Function in Patients with Acadian Variant Fanconi Syndrome
Bibliographic record
Abstract
Background: Acadian variant of Fanconi syndrome (AVFS) is an autosomal recessive disease that leads to chronic kidney failure, proximal tubule dysfunction and pulmonary fibrosis, and is present only in the Acadian people. This condition is caused by a mutation in the NDUFAF6 gene which results in mitochondrial dysfunction and oxidative damage to the kidneys. The objective of this study is to evaluate the effect of N-acetylcysteine (NAC), an antioxidant, on the progression of loss of renal function in patients with AVFS. Methods: A retrospective self-controlled study was conducted with 4 individuals diagnosed with AVFS, comprising 100% of the known active population who were neither transplanted nor on dialysis. Medical records were reviewed to obtain information regarding glomerular filtration rate (eGFR), serum creatinine, blood pressure, and medications. eGFR was calculated using the Schwartz formula for patients under 18 years of age and the MDRD formula for adults. The changes in GFR before and after NAC prescription were analyzed for each patient to assess the effect of NAC on disease progression, and these changes were also compared with past AVFS patients who had never received NAC. Results: NAC was projected to delay the need for kidney replacement therapy by an average of 135 months in the treated patients who otherwise would have required it by a mean age of 28 years, which is comparable to past patients who underwent kidney replacement therapy at an average age of 30. Conclusions: This study demonstrated that NAC appears to have a beneficial effect on the progression of GFR in patients with AVFS, delaying the projected need for kidney replacement therapy by over 11 years. Further studies are needed to evaluate the potential benefits of NAC in other chronic kidney conditions.
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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 | 0.001 | 0.003 |
| 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 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".