Risk factors and ultrasonographic profile of posterior fossa haemorrhages in preterm infants
Bibliographic record
Abstract
AIMS: While preterm infants are known to be at risk of intracranial haemorrhages, advances in ultrasound imaging of preterm babies have facilitated recognition of presence of haemorrhages in the posterior fossa, which include cerebellar and Cisterna Magna haemorrhages. There are limited data on the profile and predisposing risk factors. The objective was to identify antenatal, intrapartum and post-natal risk factors for and to define the clinical spectrum. The study was designed as a retrospective case-control study in the setting of a tertiary level neonatal intensive care unit. Preterm babies < or =30 weeks gestation age admitted between January 2005 and December 2006, with an ultrasound diagnosis of posterior fossa haemorrhage and an equal number of controls matched for gestation age, gender and month of birth with normal cranial scans were selected. Systematic chart and radiographic review was done. All cranial ultrasounds in both groups were reviewed. RESULTS: Eighteen babies had documented posterior fossa haemorrhage (13 cerebellar, 5 isolated Cisterna Magna, 10 both), the median time of detection being 2.5 days. Eleven babies had either no or grade I/II supratentorial bleeds, while half of all cerebellar bleeds were bilateral. All haemorrhages were visualised from mastoid view and none from anterior fontanel. On univariate analysis, multiple gestations, lack of antenatal steroids, foetal heart rate abnormalities, need for volume expanders and cardiotrophins and sepsis were associated with a higher risk for having posterior fossa bleeds. CONCLUSIONS: Posterior fossa haemorrhages in preterm babies are being increasingly recognised. Antenatal, intrapartum and post-natal factors may predispose towards haemorrhages in the cerebellum or Cisterna Magna.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.000 | 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".