Association between Hematologic Findings and Brain Injury due to Neonatal Hypoxic-Ischemic Encephalopathy
Bibliographic record
Abstract
We sought to analyze associations between aberrant hematologic counts and adverse outcome in neonates with hypoxic ischemic encephalopathy (HIE) due to various intrapartum asphyxial insult types and to describe the postnatal changes in counts. Hematologic counts between 0 and 120 hours of age of 316 consecutively admitted neonates with HIE were collected retrospectively. Asphyxial insult types were categorized as acute near-total, prolonged partial, or "mixed." Associations between hematologic counts and adverse outcome by 2 years of age were analyzed. No associations were found between patterns of hematologic counts in the first 12 hours and adverse outcome. Lymphocyte counts peaked in the first 2 hours of age in all insult types (46% had values > 10.0 x 10 (9)/L) and by 4 to 6 hours reached normal levels. Nucleated red blood cell counts peaked between 6 and 8 hours of age and fell to normal levels by 36 to 72 hours of age (56% had values > 1860 x 10 (6)/L). Relatively few subjects had low platelet counts by age 12 hours; the nadir occurred on days 2 to 3. No associations were found between hematologic counts and adverse outcome. The characteristic hematologic changes found are attributable to the asphyxial insults, not to brain injury. Because of inconsistent changes, hematologic counts cannot be used on their own to time asphyxial insults.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".