Prophylactic internal iliac artery balloon for caesarean in placenta accreta reduces haemoglobin drop – Retrospective comparative study
Bibliographic record
Abstract
Background This study compared maternal and foetal outcomes of managing placenta accreta spectrum (PAS) disease with and without prophylactic internal iliac balloon occlusion (IIABO) at a tertiary hospital between 2002 and 2021.Methods This retrospective cohort study included patients with confirmed PAS disorder, comparing maternal and foetal outcomes between those who underwent IIABO before caesarean delivery and those who did not, both receiving standardised multidisciplinary care. Primary outcomes included perioperative haemoglobin drop. Secondary outcomes included estimated blood loss, transfusion rate, operative duration, ICU stay, hysterectomy rates, and newborns’ Apgar scores.Results Thirty-one antenatally diagnosed PAS patients were analysed (IIABO n = 21, non-IIABO n = 10). Over 90% had prior caesarean deliveries. IIABO is associated with lower intraoperative haemoglobin drop (p < .001) and higher postoperative haemoglobin (p = 0.047). The linear regression model demonstrated that IIABO and classical caesarean significantly reduced intraoperative blood loss (p = 0.019). No differences were seen in operative time, ICU stay, hysterectomy rates, or newborn Apgar scores. No IIABO-related complications were reported.Conclusion Prophylactic IIABO during caesarean delivery for PAS is associated with less haemoglobin drop and higher postoperative haemoglobin. IIABO under local anaesthesia was feasible, possibly reducing risks tied to extended general anaesthesia. Larger studies are recommended to support the role of IIABO in PAS disorders.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".