Central venous catheters and upper-extremity deep-vein thrombosis complicating immune heparin-induced thrombocytopenia
Bibliographic record
Abstract
Heparin-induced thrombocytopenia (HIT) is a transient antibody-mediated hypercoagulability state strongly associated with lower-limb deep-vein thrombosis (DVT). Whether HIT is additionally associated with upper-limb DVT--either with or without central venous catheter (CVC) use--is unknown. We therefore studied 260 patients with antibody-positive HIT to determine the influence of CVC use on frequency and localization of upper-extremity DVT in comparison with 2 non-HIT control populations (postoperative orthopedic surgery and intensive-care unit patients). Compared with the control populations, both upper- and lower-extremity DVTs were found to be associated with HIT. Upper-extremity DVTs occurred more frequently in HIT patients with a CVC (14 of 145 [9.7%]) versus none of 115 (0%) patients without a CVC (P =.000 35). All upper-extremity DVTs occurred at the CVC site (right, 12; left, 2; kappa = 1.0; P =.011). We conclude that a localizing vascular injury (CVC use) and a systemic hypercoagulability disorder (HIT) interact to explain upper-extremity DVT complicating HIT.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".