Systemic autoimmune disorders associated with thrombotic microangiopathy: A cross-sectional analysis from the French National TMA registry: Systemic autoimmune disease-associated TMA
Bibliographic record
Abstract
CONTEXT: The management of systemic auto-immune diseases (SAID) -associated thrombotic microangiopathies (TMA) [SAID-TMA] remains debated. OBJECTIVES: To provide a demographic, clinical and therapeutic picture of SAID-TMA. METHODS: A cross-sectional analysis was conducted on adult patients presenting with SAID and TMA from the French National TMA Registry over a 20-year period. Clinical features were extracted and compared to those from a historical cohort of atypical haemolytic and uremic syndrome (aHUS) patients. RESULTS: Forty-one patients with SAID-TMA were compared to 78 patients with aHUS from a historical cohort. Connective tissue diseases (CTD) were systemic lupus erythematosus (n=18), primary Sjögren's syndrome (n=7), systemic sclerosis (n=11), mixed CTD (n=2) and 2 cases of vasculitides, including 7 overlapping forms and 8 cases of primary antiphospholipid syndromes (APLS). Patients with SAID-TMA generally had pre-existing chronic kidney failure (OR= 3.17, 95%CI: 1.204 to 7.923; p= 0.016) compared to aHUS patients, though creatinine levels were significantly lower (216 [IQR, 108-334] µmol/L vs. 368 [IQR, 170-722] µmol/L; p= 0.002). Patients were less likely to recover if renal replacement therapy was needed at onset (OR= 0.07; 0.02 to 0.34; p <0.0005). Two patients died. Thirty patients responded to immunosuppressive treatment and complete remission was achieved in 25 cases. By contrast, therapeutic plasma exchange (TPE) did not have an early effect on TMA features at Day-7 nor Day-15 (p >0.05). CONCLUSION: The management of SAID-TMA implies an early initiation of immunosuppressive drugs for flares of the associated SAID, whereas TPE seem ineffective. KEY MESSAGES.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".