Selective prophylactic solvent-detergent plasma and cryoprecipitate transfusion to prevent intraventricular hemorrhage in extreme preterm infants: A case-historical control
Bibliographic record
Abstract
BACKGROUND: Contradictory evidence exists whether a prophylactic coagulation factor transfusion in the first hours of life (HOL) prevents intraventricular hemorrhage (IVH) in extreme preterm infants (EPI, <28 weeks gestation). We aimed to determine whether selective prophylactic solvent-detergent plasma and cryoprecipitate transfusion within 12 hours of life (SP-SDP/Cryoprecipitate-T) could prevent IVH in EPI. METHOD: This is a retrospective analysis, case-historical control, of prospectively collected data from a pre-existing electronic neonatal database at a Saudi tertiary neonatal intensive care unit. We compared the IVH rate in EPI born in the first 4 years (Jan 2010-Dec 2013) of the SP-SDP/Cryoprecipitate-T period with that of EPI born during the last 4 years (Jan 2006-Dec 2009) of the rescue SDP/Cryoprecipitate-T period. RESULTS: The IVH rate was lower in the SP compared to the rescue- SDP/Cryoprecipitate-T period (30.8% versus 51.2%, odds ratio 0.42, 95% confidence interval 0.21, 0.88, p = 0.02). This difference remained significant after controlling for six other IVH risk factors. CONCLUSIONS: Early SP-SDP/Cryoprecipitate-T may reduce the IVH rate in EPI. A large multicenter clinical trial is required for confirm the short and long-term benefit and risk of this intervention. Until then, early SP-SDP/Cryoprecipitate-T may be considered by an institution with a persistently high IVH rate.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".