Do infections provoke exacerbations and relapses of thrombotic thrombocytopenic purpura?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Several case reports have suggested an association between infections and thrombotic thrombocytopenic purpura (TTP). In Case 1, a 37-year-old female presented with TTP 6 times over 7 years, requiring 242 therapeutic plasma exchanges (TPE), for a per-course range of 4-57 TPE (median 48), and treatment durations of 4-241 days (median 71 days), largely on account of multiple exacerbations (range 0-3, median 3). Twelve of 17 (71%) of her presentations or exacerbations were associated with suspected infections, with confirmation in 9 episodes. These included pulmonary TB, CMV pneumonitis, mucocutaneous HSV, ventilator-associated or urinary tract-associated gram-negative sepsis, central line-associated staphylococcal bacteremia, and cellulitis. Except for TB, all infections occurred after splenectomy, which had been performed on day 33 of presentation 1. In Case 2, a 24-year-old female presented with TTP 3 times over 15 months. Her courses were managed with brief courses of TPE (5-11 treatments per course, median 5). Suppressed ADAMTS13 levels due to inhibitors were confirmed twice. Presentation 1 was antedated by atypical community acquired pneumonia. Presentation 3 (and possibly 2) followed prolonged, progressive, antibiotic-refractory periodontal infections ultimately requiring exodontic surgery. Our cases add to a literature that suggests that infection may be associated with exacerbations or relapses of TTP in some patients. Our patients demonstrated repeated TTP exacerbations in association with different infectious agents. A better understanding of the possible relationship between infection and clinical expression of TTP might lead to improved treatment decisions for patients with this complex illness.
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.
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 | 0.002 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it