Impact of Late Preterm Birth on Neonatal Intensive Care Resources in a Tertiary Perinatal Center
Bibliographic record
Abstract
OBJECTIVE: To examine delivery indications, short-term morbidities, and use of resources for late preterm infants admitted to the neonatal intensive care unit (NICU) at a tertiary perinatal center. STUDY DESIGN: Data for 1137 inborn infants 340/7 to 366/7 weeks' gestational age discharged between July 2004 and December 2009 were collected from an electronic NICU database. Birth information was obtained from maternal charts. RESULTS: Forty-two percent of late preterm infants were admitted to the NICU. Their mean ( ± standard deviation) birth weight was 2347 ± 569 g; 15.1% were small for gestational age, 35.5% were multiples, and 17.8% had an antenatally diagnosed anomaly. Most births (52%) occurred following spontaneous rupture of membranes or labor. Cesarean section rate was 56.8%. Mortality rate was 1.2%. Most frequent morbidities were transient tachypnea (18.8%), cardiac or other congenital anomaly (16.8%), and respiratory distress syndrome (7.4%). Although 41.5% received ventilatory support, duration was short (1.1 ± 3.1 days). Mean length of NICU stay was 8.1 ± 9.3 days with 38% transferred to community hospitals before discharge. CONCLUSION: For many late preterm infants admitted to the NICU, the duration of intensive therapy was short and some required no interventions. One impact of late preterm birth was bed occupancy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".