Thrombotic thrombocytopenic purpura in pregnancy: A case report and literature review
Bibliographic record
Abstract
Thrombotic thrombocytopenic purpura (TTP) is a serious but rare cause of thrombocytopenia in pregnancy which poses a significant morbidity and mortality burden to the maternofetal dyad. Diagnosing TTP in pregnancy is challenging due to its non-specific clinical presentation, and the potential for similar or concomitant presentation with other thrombotic microangiopathies. We present an atypical case of TTP diagnosed in an asymptomatic 28-year-old female, at 35 weeks' gestation. TTP must be considered a differential for thrombocytopenia, especially in the context of autoimmune disease and even in the absence of typical signs or symptoms. Increasingly available diagnostic tools may help redefine our understanding of TTP presentations in pregnancy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".