An Autopsy Case of Renal-Limited Granulomatosis With Polyangiitis Presenting With Acute Renal Failure and Initial Delirium
Bibliographic record
Abstract
Granulomatosis with polyangiitis (GPA) has three clinicopathological features, namely, necrotizing granulomatosis of the upper respiratory tract and lungs, focal segmental necrotizing glomerulonephritis of the kidney, and necrotizing vasculitis of small vessels throughout the body. A 92-year-old man with clinically diagnosed probable Alzheimer's disease (AD) exhibited subacute deterioration in cognitive function. On admission, he was diagnosed with acute renal failure with an elevated creatinine level (5.48 mg/dL) as well as severe disturbance of consciousness. Antineutrophil cytoplasmic antibodies (ANCAs) directed against proteinase 3 (PR3-ANCA) were highly positive with ≥ 350 U/mL. The patient was diagnosed with GPA and was managed with steroid pulse therapy. However, he died without any improvement in renal function. As a result of the autopsy, the patient was diagnosed with definite AD, and his impaired consciousness was found not to be caused by central nervous system involvement due to GPA. As necrotizing crescentic glomerulonephritis was observed, the cause of the acute progressive renal failure was found to be PR3-ANCA-positive GPA. The autopsy revealed no GPA-related lesions in other parts of the body aside from the kidneys. It is rare to encounter cases of PR3-ANCA-positive GPA with renal-limited vasculitis and acute renal failure as the initial manifestation, as in the present case. Making an accurate clinical diagnosis of older patients suffering from various diseases in multiple organs is challenging. Although autopsy has the limitation of a terminal image, it is extremely useful in elucidating the pathophysiology of the older patient in this case.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".