Clinical outcomes with the LMWH, tinzaparin in pregnancy: an international retrospective audit
Bibliographic record
Abstract
Low molecular weight heparins are the anticoagulants of choice in pregnancy in current guidelines. The aim of this multinational retrospective audit was to gather data on maternal and fetal outcomes in consecutive pregnancies treated with tinzaparin. Use solely after delivery was excluded. Data were gathered from 1260 pregnancies comprising 254 venous thromboembolism (VTE) treatment (mean dose 12 840 IU/day for 85 days, 94.1% once-daily) and 1006 prophylaxis (6382 IU/day for 165 days, 94.6% once-daily) involving 1296 fetuses. There were 868 (70.4%) vaginal deliveries (76 assisted) and 365 (29.6%) Caesarean sections, (data missing for 27). Neuraxial anaesthesia was administered in 40.4% with no epidural haematomas reported. From the 1296 fetuses there were 1238 (95.5%) live births, 15 (1.2%) stillbirths, 40 (3.1%) spontaneous abortions and 3 (0.2%) pregnancy terminations. Blood loss at delivery was ≤500 ml in 914 (87.0%), 501–1500 ml in 126 (12.0%) and >1500 ml in 11 (1.0%) women (data missing for 209). There were no maternal deaths, six (0.5%) neonatal deaths (five births <27 weeks and one Ebstein's anomaly) and no neonatal haemorrhages. There were five (2.0%) recurrent VTEs in the treatment group and 10 (0.99%) in the prophylaxis group. Adjudicated safety outcomes are, at this time, only available for the UK/IE subset (656 pregnancies) where 60 cases of ‘any bleeding’ (9.1%) were adjudicated related to tinzaparin. Eight (1.2%) of these required medical intervention. Full final results for all 1260 pregnancies will be first available at the meeting. These results provide reassuring maternal and fetal outcome information in pregnancies exposed to tinzaparin.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".