Administration of Antithrombin Concentrate in Infants and Children on Extracorporeal Life Support Improves Anticoagulation Efficacy
Bibliographic record
Abstract
Unfractionated heparin (UFH) is required in children on extracorporeal life support (ECLS) to maintain circuit patency. When high-dose UFH is inadequate to maintain an anticoagulant effect, the addition of antithrombin concentrate (ATC) is considered. The objective of this study was to review clinical experience giving 1,000 units (U) of ATC to patients on ECLS and UFH anticoagulation. Specifically, antithrombin (AT) levels pre- and post-administration of high-dose ATC, estimation of the efficacy of high-dose ATC administration as measured by the level of anticoagulation, and the incidence of adverse effects were determined. A retrospective chart review of all infants and children on ECLS who received ATC between June 2008 and May 2011 at Stollery Children's Hospital, Edmonton, Canada, was performed. A total of 78 doses of ATC were administered to 36 patients with a median age of 2.9 months (interquartile range, 0.6-12.6) on ECLS. Mean dose of ATC was 241 U/kg (95% confidence interval, 199-283). Mean AT level pre- and post-administration was 0.40 and 0.93 U/ml, respectively. Mean anti-Xa level pre- and post-AT administration was 0.23 and 0.41 U/ml, respectively. There were no associated acute adverse events. The administration of high-dose ATC decreases UFH dose requirements.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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".