Goodpasture’s Syndrome With Ambiguous Serology: A Case Report
Bibliographic record
Abstract
Pulmonary-renal syndrome is a rare clinical syndrome defined by a combination of diffuse alveolar hemorrhage and rapidly progressive crescentic glomerulonephritis. It is not a single entity, but is caused by a wide variety of diseases including Goodpasture’s syndrome associated with autoantibodies against glomerular and alveolar basement membrane (anti-glomerular basement membrane (anti-GBM)). Anti-GBM disease is an autoimmune disorder, estimated to occur in less than one case per million population. A 59-year-old previously healthy man presented with acute kidney injury (AKI, stage 3, KDIGO) with signs of nephritic syndrome, progressive oliguria, dyspnea with mild hemoptysis, cruses edema and elevated blood pressure. Serologic results were all negative except very low titer of anti-proteinase 3 antibodies. Chest radiograph revealed diffuse pulmonary infiltrations. Renal biopsy demonstrated necrotizing crescentic glomerulonephritis with linear pattern for immunoglobulin G along the entire GBM in immunofluorescent staining. Based on whole clinical picture, the diagnosis of Goodpasture’s syndrome was done and the intensive treatment, including plasmapheresis, cyclophosphamide and prednisone, along with hemodialysis was provided. Improvement of patient’s general condition was achieved. Despite recovery of diuresis, attempt to discontinue hemodialysis was found unsuccessful. The case proves the importance of diagnostic vigilance in patients presenting with AKI. Although supportive, in many cases, serology tests can be negative or ambiguous and should not prevent profound diagnostic process including kidney biopsy. Late diagnosis in the course of anti-GBM disease, in spite of proper treatment, correlates with less favorable kidney outcomes. World J Nephrol Urol. 2017;6(1-2):10-13 doi: https://doi.org/10.14740/wjnu301w
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".