The Absence of Delayed Graft Function Is Predicted by the Presence of Manganese-Superoxide Dismutase in Distal Tubules of Renal Allografts
Bibliographic record
Abstract
BACKGROUND: Acute tubular necrosis (ATN) in renal allograft biopsies correlates poorly with delayed graft function (DGF). Factors involved in the pathogenesis of DGF were evaluated in biopsies in an attempt to refine the recognition of DGF. METHODS: Anti-cubulin and anti-AE-1/AE-3 antibodies identified proximal and distal tubules, respectively. The terminal deoxynucleotide transferase-mediated dUTP nick-end labeling technique and active caspase-3 staining were used to demonstrate apoptosis. Antibodies against superoxide dismutase (SOD) were used as markers of the protective tubular response. Tubular regeneration was evaluated using anti-ki 67 and antivimentin antibodies. RESULTS: Of a total of 40 biopsies, 9 were associated with DGF. ATN was seen in 16 biopsies; 5 were associated with DGF. The finding of ATN in the biopsy of a graft predicted DGF in only 56% of cases. Absence of distal caspase-3 staining predicted the absence of ATN in 87% of cases. The presence of caspase-3 predicted ATN in 54% of cases. The detection of manganese-SOD in distal tubules predicts the absence of DGF in 76% of the cases. CONCLUSIONS: The use of immunohistochemical staining on posttransplant renal biopsies improved its predictive value with respect to ATN and DGF: The absence of active caspase-3 in distal tubular epithelium predicts the absence of ATN in 87% of cases, whereas its presence predicts ATN in 54% of cases. The presence of manganese-SOD in distal tubules predicts the absence of DGF in 76% of cases.
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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".