SEVERE HEMATOLOGICAL MANIFESTATIONS IN SLE: 2 CASES OF THROMBOTIC THROMBOCYTOPENIC PURPURA
Bibliographic record
Abstract
PV209 / #633 Poster Topic: AS23 - SLE-Diagnosis, Manifestations, & Outcomes Background/Purpose Thrombotic thrombocytopenic purpura (TTP) is a rare but life-threatening hematological complication of systemic lupus erythematosus (SLE). In our cohort of 229 SLE patients, TTP was observed in 0.87% of cases. This report presents the clinical course and management of these patients. Methods We reviewed the medical records of 2 patients diagnosed with TTP secondary to SLE. Both cases were characterized by microangiopathic hemolytic anemia, thrombocytopenia, and multiorgan involvement. Treatment protocols, outcomes, and therapeutic responses were analyzed. Results • Case 1: Treated with intravenous methylprednisolone boluses (IVMP), intravenous immunoglobulin (IVIG), rituximab, and 12 cycles of eculizumab. The patient achieved remission with resolution of hematological and organ involvement. • Case 2: Treated with IVMP boluses, IVIG, and rituximab, leading to normalization of blood parameters and recovery of organ function. Conclusions TTP in SLE was identified in 0.87% of our cohort. Prompt recognition and aggressive treatment with IVMP, IVIG, and rituximab proved effective, with eculizumab playing a crucial role in refractory cases. Multidisciplinary collaboration and individualized treatment strategies are essential to improve outcomes in this rare but severe complication.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".