Risk Factors for Term-Born Periventricular White Matter Injury in Children With Cerebral Palsy
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to identify possible risk factors associated with term-born children with cerebral palsy (CP) and periventricular white matter injury (PVWMI) on imaging. METHODS: This is a case-controlled study restricted to term-born children with CP with the cases extracted from the Canadian Cerebral Palsy Registry and controls from Alberta Pregnancy Outcomes and Nutrition (APrON) study. A diagnosis of PVWMI was performed based on expert categorization of MRI reports. Risk factor variables were selected a priori; these included pregnancy complications, antenatal toxin exposure, perinatal infection, sex, small for gestational age, and perinatal adversity (i.e., neonatal encephalopathy presumably on the basis of intrapartum hypoxia-ischemia). We used multivariable analyses to calculate odds ratios (ORs) and their 95% CIs. RESULTS: A total of 160 cases (7.06% of the registry sample) were compared with 1,950 controls. Of the term-born PVWMI participants, 59.4% were male and 13.5% were born to mothers of extreme maternal age. Multivariable analysis of each risk factor controlled for weight showed PVWMI is associated with pregnancy complications (OR = 3.35; 95% CI = 2.23-4.94), antenatal toxin exposure (OR = 2.45; 95% CI = 1.67-3.55), perinatal infection (OR = 3.61; 95% CI = 1.96-6.29), and perinatal adversity (OR = 2.03; 95% CI = 1.42-2.94). Term-born male participants were not more likely to experience PVWMI compared with female participants (OR = 1.37; 95% CI = 0.98-1.93). Multiple regression analyses suggested independent associations between PVWMI and pregnancy complications (OR = 3.75; 95% CI 2.46-5.62), antenatal toxin exposure (OR = 2.80; 95% CI 1.88-4.12), perinatal infection (OR = 4.62; 95% CI 2.46-8.42), and perinatal adversity (OR = 2.49; 95% CI = 1.71-3.69). DISCUSSION: Risk factors such as pregnancy complications, antenatal toxin exposure, perinatal infection, and perinatal adversity are associated with PVWMI in term-born children, suggesting perhaps variable interactions between antenatal and perinatal factors to yield this under-recognized CP phenotype.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".