A Follow-up Study of Infants with Intracranial Hemorrhage at Full-Term
Bibliographic record
Abstract
OBJECTIVE: To determine physical and cognitive outcomes of full-term infants who suffered intracranial hemorrhage (ICH) at birth. METHODS: A retrospective hospital-based, follow-up study of infants treated in London, Ontario between 1985 and 1996. Follow-up was conducted by telephone interviews and clinic visits. Outcome was measured according to physical and cognitive scales. Perinatal risk factors and hemorrhage characteristics were correlated with final outcome. RESULTS: For this study 66 infants with ICH were identified, of which seven died during the first week of life. We obtained follow-up in all but ten cases (median = 3-years; range 1.0 to 10.9 years). Overall, 57% of infants had no physical or cognitive deficits at follow-up. Death occurred most frequently among those with primarily subarachnoid hemorrhage (19%) and the most favorable outcomes occurred among those with subdural hemorrhage (80% had no disability). In univariate models, thrombocytopenia (platelet count < or = 70 x 10(9)/L), increasing overall hemorrhage severity, frontal location and spontaneous vaginal delivery as opposed to forceps-assisted delivery increased risk for poor outcome. In multivariate models, all these factors tended towards increased risk, but only thrombocytopenia remained significant for physical disability (OR = 7.6; 95% CI = 1.02 - 56.6); thrombocytopenia was borderline significant in similar models for cognitive disability (OR = 4.6; 95% CI = 0.9 - 23.9). CONCLUSION: Although forceps-assisted delivery may contribute to ICH occurrence, our study found better outcomes among these infants than those who had ICH following a spontaneous vaginal delivery. Hemorrhage in the frontal lobe was the most disabling hemorrhage location and if multiple compartments were involved, disability was also more likely to occur. However, in this report we found that the factor that was most likely to contribute to poor outcome was thrombocytopenia and this remained important in multivariate analysis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".