Comparison of the Anticoagulant Effect of Melagatran and Lmwh in an Acquired Antithrombin Deficiency in Children with All Treated with L-Asparaginase.
Bibliographic record
Abstract
Abstract BACKGROUND: Children with acute lymphoblastic leukemia treated with L-asparaginase (ASP) have a prevalence of thrombosis of 37% (95%CI 24–48%). The increased risk for thrombosis in these children dictates the need for primary prophylaxis clinical studies. However, the question of the optimum anticoagulant to be tested is an issue. The mechanism for increased risk of thrombosis in this population is related to the acquired antithrombin (AT) deficiency associated with ASP. Owing to the acquired AT deficiency, low-molecular-weight heparins (LMWHs) are unlikely to be a good option. Ximelagatran is a new anticoagulant that has been shown to be efficacious and well tolerated in primary prophylaxis in adults. The active metabolite of ximelagatran, melagatran, is a direct thrombin inhibitor and does not rely on AT for interaction and subsequent effect. Therefore, ximelagatran may become the drug of choice for this population. Before initiation of large clinical studies, the effect of acquired AT deficiency on the anticoagulant effect of melagatran needs to be determined ex vivo. OBJECTIVES: To determine the interaction of an ASP-induced acquired AT deficiency on the anticoagulant effects of melagatran and LMWH. STUDY POPULATION: Newly diagnosed children with ALL being treated with ASP during induction chemotherapy. Plasma was drawn pre-therapy and during the 4 weeks of induction chemotherapy. Five sets of pooled samples from a minimum of 5 children per pool were used for the study. AT levels were decreased (0.53 U/mL) in the pooled samples. METHODS: Prophylactic and therapeutic levels of melagatran (0.3/05 μM) (Exanta ®, AstraZeneca AB, Sweden) or LMWH (0.3/0.7 U/ml) (Fragmin, Pfizer, USA) were added to plasma pools. Pools with added-back anticoagulant were divided, and in one portion purified human AT was added back to nomalize plasma AT levels to 1.0 u/mL. Samples with melagatran and LMWH were run neat and with added- back AT. Endogenous thrombin generation capacity was assessed using a continuous optical density recording of cleaving chromogenic substrate. The endogenous thrombin generation capacity was derived by calculation of area under the curve. Results are reported as a percentage of the neat sample. Statistical comparison was performed by a one-way ANOVA. RESULTS: In the LMWH 0.3u/mL group, there was a statistically significant difference in thrombin generated between the neat and AT-added-back groups (Figure 1); there was a trend, but no significant difference, in the 0.7 u/mL LMWH group. In contrast, there was no difference in thrombin generation with ximelagatran 0.3 μ M and 0.5 μM without and with AT added. Figure Figure CONCLUSION: In children with acquired AT deficiency related to ASP, the anticoagulant effects of LMWH are profoundly affected by endogenous AT levels. In contrast, the anticoagulant effects of melagatran are completely independent of endogenous AT levels. Therefore, the anticoagulant response of melagatran will be far more predictable in these children. Ximelagatran is a suitable candidate for further assessment in prevention of thrombosis in children with ALL.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".