Spontaneous Intraparenchymal Hemorrhage in Full-term Neonates
Bibliographic record
Abstract
OBJECTIVE: Spontaneous intraparenchymal hemorrhage is extremely rare in full-term newborns. Reports to date have been limited to descriptions of individual cases, small groups within larger studies of intracranial hemorrhage, and one series of four patients. Structural lesions are rarely identified, and the majority of patients described have been managed without surgical intervention. METHODS: Analysis of a computerized database of pediatric neurosurgical patients from January 1960 to February 2000 identified full-term newborns younger than 3 months of age with nontraumatic intraparenchymal hemorrhages. Prenatal histories, labor and delivery histories, clinical presentations, imaging studies, management, and outcomes were reviewed. RESULTS: Eleven full-term newborns with spontaneous intraparenchymal hemorrhages were identified. The majority had normal prenatal courses. Most presented within the first 2 days of life (6 of 11 patients), and the most common presenting sign was seizure (7 of 11 patients). No cause was identified in 6 of 11 patients; the remainder were attributed to coagulopathy (n = 3), ruptured intracranial aneurysm (n = 1), or hemorrhagic infarction (n = 1). Eight patients underwent surgical hematoma evacuation on the basis of radiographic evidence of significant mass effect, evidence of signs of elevated intracranial pressure, or both. Three patients did not receive surgical intervention. There were no subsequent hemorrhages or deaths during a mean follow-up period of 4.5 years (range, 1-16 yr). Four patients had normal neurological outcomes, four had motor deficits (one of whom additionally demonstrated cognitive delay), and three had delayed speech. CONCLUSION: No cause is identified in most newborns with spontaneous intraparenchymal hemorrhage. Radiographic evidence of mass effect or signs of elevated intracranial pressure may necessitate surgical hematoma evacuation. Outcome varies widely and may be normal, even in patients with sizeable intraparenchymal hemorrhages.
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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 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".