64 Association of 24-hour In-house Neonatologist Coverage with Outcomes of Extremely Preterm Infants
Bibliographic record
Abstract
Abstract Primary Subject area Neonatal-Perinatal Medicine Background Medical team composition at the delivery of high-risk neonates may contribute to better outcomes. The presence of 24-hour (h) in-house staff neonatologist (NN) may improve delivery room (DR) care practices and outcomes. Objectives To assess if 24-h in-house NN coverage is associated with better care practices and outcomes among inborn infants born < 29 weeks GA. Design/Methods Cross-sectional cohort study of 2476 inborn infants born at 23-28 weeks gestation, admitted in 2014-2015 to Canadian Neonatal Network level 3 NICUs with a maternity unit that participated in a 2015 survey on NICU coverage. Exposures were classified using survey responses based on the most senior provider offering 24-h in-house coverage: NN, fellow, and no NN/fellow. Primary outcome was death and/or major morbidity (bronchopulmonary dysplasia, severe neurological injury, late-onset sepsis, necrotizing enterocolitis, retinopathy of prematurity). Multivariable logistic regression analysis was used to assess the association between exposures and outcomes and adjust for confounders with generalized estimating equations to account for clustering within each site. Results Among the 28 participating NICUs, most senior providers ensuring 24-h in-house coverage were NN (32%, 9/28), fellows (39%, 11/28), and no NN/fellow (29%, 8/28). Infants’ characteristics are shown in Table 1. No NN/fellow coverage and 24-h fellow coverage were associated with higher odds of infants receiving DR chest compressions or epinephrine compared to 24-h NN coverage (adjusted odds ratio [AOR] 4.72, 95% CI 2.12-10.6 and AOR 3.33, 95% CI 1.44-7.70, respectively) (Table 2). 24-h fellow coverage was associated with higher odds of normothermia (36.5°C-37.2°C) on admission (AOR 2.26, 95% CI 1.51-3.37) compared to 24-h NN coverage (Table 2). Rates of mortality or major morbidity did not differ significantly among the three groups: NN, 63% (249/395); fellow, 64% (1092/1700); no NN/fellow, 70% (266/381). Compared to 24-h NN coverage, 24-h fellow coverage was associated with lower odds of mortality (AOR 0.62, 95% CI, 0.43-0.88) (Table 2). Conclusion 24-h in-house NN coverage was associated with lower rates of DR chest compressions or epinephrine use; however, it was not associated with death and/or major morbidity. These results are from a survey linked cohort, and data on the actual presence of individuals in NICU/resuscitation is unknown. Future prospective research on care providers present in the NICU, and its impact on outcomes, is needed.
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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 | 0.001 | 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".