Perinatal inflammation is associated with social and motor impairments in preterm children without severe neonatal brain injury
Bibliographic record
Abstract
OBJECTIVE: To test the association between exposure to perinatal inflammation - i.e. clinical chorioamnionitis or early-onset neonatal infection - in preterm children without severe neonatal brain injury and neurodevelopmental outcome at 30 months of corrected age (CA). DESIGN: Cross-sectional study from a French regional cohort of clinical follow-up (SEVE Network). PATIENTS: One hundred sixty-four surviving neonates without severe brain injury - namely, grade III and IV cerebral hemorrhage and cystic periventricular leukomalacia - and without late-onset neonatal inflammation exposure - namely, late-onset neonatal infection and necrotizing enterocolitis -, born at less than 33 weeks of gestational age from November 2011 to June 2015 and enrolled in the SEVE Network. MAIN OUTCOME MEASURE: Global developmental quotient (DQ) score of the revised Brunet-Lézine scale and its four indices measured by the same neuropsychologist at 30 months of CA. RESULTS: After multivariate analysis, exposure to perinatal inflammation was not found significantly associated with a modification of the global DQ score (coefficient -1.7, 95% CI -4.8 to 1.3; p = 0.26). Exposure to perinatal inflammation was associated with a decrease of the gross motor function DQ score (coefficient -6.0, 95% CI -9.9 to -2.1; p < 0.01) and a decrease of the sociability DQ score (coefficient -5.1, 95% CI -9.2 to -0.9; p = 0.02). Language and visuospatial coordination DQ scores were not affected by exposure to perinatal inflammation. CONCLUSION: Exposure to perinatal inflammation in preterm children without severe neonatal brain injury is independently associated with decreased motor and social abilities at 30 months of CA.
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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 | 0.001 |
| 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".