Atypical haemolytic uremic syndrome (aHUS) and membranoproliferative glomerulonephritis (MPGN), different diseases or a spectrum of complement-mediated glomerular diseases?
Bibliographic record
Abstract
Historically, patients with kidney diseases caused by genetic or acquired dysregulation of the complement alternative pathway have been grouped into clinical syndromes, C3 glomerulopathy (C3GN/DDD) and thrombotic microangiopathy (TMA), specifically atypical haemolytic uremic syndrome (aHUS). Recent data suggested that these diseases share a common pathophysiology and that patients can transition between glomerulopathies in this spectrum. Histopathologically, the main difference cited is the immunofluorescence (IF) findings, with C3 predominance in C3 glomerulopathy (compared with immunoglobulins and complements in immune complex-mediated membranoproliferative glomerulonephritis (MPGN)) and negative IF in TMA. We report a case in which a patient presented with hypertension, seizures, proteinuria, renal impairment and immune complex-mediated MPGN on kidney biopsy. Months later, she presented with classical TMA. She failed to respond to steroids and plasma exchange therapy but subsequently made a remarkable haematological and renal recovery after eculizumab treatment, thus supporting an underlying complement dysregulation and a diagnosis of aHUS.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".