Characteristics and Outcomes of Patients with Systemic Lupus Erythematosus–associated Thrombotic Microangiopathy, and Their Acquired ADAMTS13 Inhibitor Profiles
Bibliographic record
Abstract
OBJECTIVE: To investigate the characteristics and outcomes of patients with systemic lupus erythematosus (SLE)-associated thrombotic microangiopathy (TMA) based on their ADAMTS13 inhibitor profiles. METHODS: The medical data of 31 SLE patients with clinically diagnosed TMA were analyzed. ADAMTS13 activity and ADAMTS13 inhibitor were measured in all patients. RESULTS: /l, p = 0.005) and more prevalent central nervous system (CNS) involvement (100.0% vs 23.1%, p = 0.003) than patients without ADAMTS13 inhibitor (n = 13). Patients with ADAMTS13 inhibitor also had mild renal involvement characterized by a higher estimated glomerular filtration rate (112.7 ± 18.0 vs 21.6 ± 12.0, p < 0.001), lower proteinuria level [0.6 (0.2-2.5) vs 8.1 (5.2-14.0) g/d, p = 0.011], and lower mean arterial pressure (95.3 ± 13.6 vs 117.5 ± 13.1 mmHg, p = 0.008) than was observed in patients without ADAMTS13 inhibitor. All patients with ADAMTS13 inhibitor achieved complete remission within 18.6 ± 8.7 days, while 3 patients (23.1%) without ADAMTS13 inhibitor achieved complete remission during a median followup of 5.0 months, even though more patients in this group received therapeutic apheresis (100.0% vs 50.0%, p = 0.021). The chance of complete remission increased by 10.8-fold (HR 10.8, 95% CI 1.8-65.5, p < 0.001) when ADAMTS13 inhibitor was present in SLE-associated TMA. CONCLUSION: Acquired ADAMTS13 deficiency is associated with more severe thrombocytopenia and CNS involvement, mild renal involvement, rapid resolution, and relatively good treatment response in SLE-associated TMA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".