Infant Functional Status: The Timing of Physiologic Maturation of Premature Infants
Bibliographic record
Abstract
OBJECTIVE: To describe the maturation of physiologic milestones in preterm infants born between 24 and 32 weeks' gestational age. METHODS: We abstracted daily physiologic maturity information on 865 infants born at < or =32 weeks' gestation in the Northern California Kaiser Permanente Medical Care Program between 1998 and 2001. Data included ventilator and incubator settings, body temperature, apnea and bradycardia spells, use of methylxanthines, feeding method, and requirements for intravenous fluids. Multivariable quantile regression models identified risk factors associated with longer postmenstrual age to achieve various physiologic milestones, including time to full oral feeding, time to wean from supplemental heat, the last day with an apnea or bradycardia episode, the last day on methylxanthine medications, and the last day on supplemental oxygen. RESULTS: Most milestones were achieved between 34 and 36 weeks' postmenstrual age, although there were wide variations between patients. In most cases, feeding and oxygen milestones were achieved last. For each milestone there was a monotonic relationship between birth gestational age and the median achievement postmenstrual age. However, bronchopulmonary dysplasia and necrotizing enterocolitis strongly influenced these results in infants of younger gestational age. CONCLUSIONS: This study provides epidemiologic data describing the achievement of basic physiologic milestones that influence the discharge of a premature infant. This work serves as an additional contribution in the development of algorithms to monitor the progress of neonates through their initial hospitalization and provides a reference population for future interventions to improve the physiologic maturation of prematurely born infants.
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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 | 0.005 |
| 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) | 0.001 | 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".