The Effect of Dalteparin on Coagulation Activation during Pregnancy in Women with Thrombophilia: A Randomised Trial.
Bibliographic record
Abstract
Abstract Background: Low-molecular weight heparin (LMWH) is increasingly being used for prophylaxis of venous thromboembolism (VTE) and prevention of pregnancy associated morbidity in pregnant women with thrombophilia. Objective: We sought to determine if the administration of prophylactic doses of LMWH down regulates coagulation activation in high risk pregnant women with thrombophilia. Methods: This sub-study was planned as part of a randomized open label controlled trial (Thrombophilia in Pregnancy Prophylaxis Study (TIPPS)) in which patients at high risk of pregnancy complications with confirmed thrombophilia are randomized to receive either dalteparin (5000 units/day until 20 weeks then 5000U q12h until 37 weeks or onset of labor) or no treatment. Blood samples were collected at baseline, day 7–9 (after starting study drug), week 20 (before increasing study drug), week 36 (prior to stopping study drug) and at the time of admission to the labor and delivery unit. Samples were not drawn at fixed times in relation to drug injection. These samples were analyzed for levels of thrombin-antithrombin complexes (TAT), prothrombin fragments 1+2 (F1+2), D-dimer and anti-Xa activity. Generalized linear mixed models were used for statistical analysis and model results were controlled for age, smoking status, type of thrombophilia and predisposing risk factors. The effect of dalteparin on TAT levels was defined as the primary outcome. Results: Of one hundred ninety eight patients eligible, 114 were enrolled in TIPPS. Seventy four were eligible for the TIPPS coagulation activation sub-study and randomized. Twenty-three patients were analyzed in the treatment group (dalteparin) and 28 patients in the control group (no intervention). Levels of coagulation activation factors F1+2, TAT and D-dimer increased significantly throughout pregnancy in both groups (p<0.0001). Dalteparin prophylaxis resulted in a significant increase in anti-Xa activity through pregnancy (p<0.0001) compared to controls. Dalteparin had no significant effects on the levels of TAT, F1+2 and D-dimer throughout pregnancy in thrombophilic women (figure 1). A post hoc Monte Carlo power analysis revealed that our study had over 99% and 64% power to detect reductions in TAT values on treatment of respectively 50% and 25%. Conclusion: Prophylaxis with dalteparin at doses used in this study did not reduce coagulation activation in high risk thrombophilic women during pregnancy. Figure 1 Box plots of TAT levels in high risk pregnant thrombophilic women with (closed boxes) and without (open boxes) dalteparin thromboprophylaxis at different time points during pregnancy. Day 7 represents the time after radomization in TIPPS whereas at other time points represent sepcific gestational ages. The bottom of the boxes mark the 25th percentile, the median lines mark the 50th percentile, the top of the boxes mark the 75th percentile, the bottom and top of the vertical lines mark the 5th and 95th percentile, respectively. Figure 1. Box plots of TAT levels in high risk pregnant thrombophilic women with (closed boxes) and without (open boxes) dalteparin thromboprophylaxis at different time points during pregnancy. Day 7 represents the time after radomization in TIPPS whereas at other time points represent sepcific gestational ages. The bottom of the boxes mark the 25th percentile, the median lines mark the 50th percentile, the top of the boxes mark the 75th percentile, the bottom and top of the vertical lines mark the 5th and 95th percentile, respectively.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".