Infection as Trigger for Congenital Thrombotic Thrombocytopenic Purpura in an Adult Patient
Bibliographic record
Abstract
Congenital thrombotic thrombocytopenic purpura (cTTP) is an inherited disease that is sometimes fatal in early childhood. cTTP is similar to idiopathic thrombotic thrombocytopenic purpura (iTTP); both are characterized by varying levels of thrombocytopenia, microangiopathic hemolytic anemia (MAHA), and end-organ damage secondary to occlusion of the microvasculature. cTTP is caused by a partial or total deficiency or loss of function of ADAMTS-13 (a disintegrin and metalloproteinase with thrombospondin type 1 motif, member 13). We report the case of a 33-year-old woman who was mistakenly diagnosed with primary immune thrombocytopenia (ITP) during childhood. The patient was referred to our center with dyspnea, fatigue, fever, and jaundice with no clinical bleeding. Laboratory features were compatible with MAHA; ADAMTS-13 activity was at 0%, with negativity for ADAMTS-13 antibodies. We concluded the final diagnosis was cTTP. The triggering factor identified for MAHA was a double infection: central venous catheter bacterial infection and atypical pneumonia. After 7 days of treatment with antibiotics and ongoing total plasma exchange (TPE), the patient responded favorably. Our patient received fresh frozen plasma (FFP) infusion once every 2 weeks, and prophylactic voriconazole remained under control at the time of writing. As demonstrated in this case, effective treatment of the trigger cause helps reduce the need for continuous FFP exposure and controls the MAHA.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".