Using a Count of Neonatal Morbidities to Predict Poor Outcome in Extremely Low Birth Weight Infants: Added Role of Neonatal Infection
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Bibliographic record
Abstract
OBJECTIVE: A count of 3 neonatal morbidities (bronchopulmonary dysplasia, brain injury, and severe retinopathy of prematurity) strongly predict the risk of death or neurosensory impairment in extremely low birth weight infants who survive to 36 weeks' postmenstrual age. Neonatal infection has also been linked with later impairment. We examined whether the addition of infection to the count of 3 neonatal morbidities further improves the prediction of poor outcome. METHODS: We studied 944 infants who participated in the Trial of Indomethacin Prophylaxis in Preterms and survived to 36 weeks' postmenstrual age. Culture-proven sepsis, meningitis, and stage II or III necrotizing enterocolitis were recorded prospectively. We investigated the incremental prognostic importance of neonatal infection by adding terms for the different types of infection to a logistic model that already contained terms for the count of bronchopulmonary dysplasia, brain injury, and severe retinopathy. Poor outcome at 18 months of age was death or survival with 1 or more of the following: cerebral palsy, cognitive delay, severe hearing loss, and bilateral blindness. RESULTS: There were 414 (44%) infants with at least 1 episode of infection or necrotizing enterocolitis. Meningitis and the presence of any type of infection added independent prognostic information to the morbidity-count model. The odds ratio associated with infection or necrotizing enterocolitis in this model was 50% smaller than the odds ratio associated with each count of the other 3 neonatal morbidities. Meningitis was rare and occurred in 22 (2.3%) of 944 infants. CONCLUSIONS: In this cohort of extremely low birth weight infants who survived to 36 weeks' postmenstrual age, neonatal infection increased the risk of a late death or survival with neurosensory impairment. However, infection was a weaker predictor of poor outcome than bronchopulmonary dysplasia, brain injury, and severe retinopathy.
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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 | 0.001 | 0.001 |
| 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 it