Association between Neonatal Outcomes and Admission Hypothermia among Very Preterm Infants in Chinese Neonatal Intensive Care Units: A Multicenter Cohort Study
Bibliographic record
Abstract
OBJECTIVE: We aimed to investigate the relationship between admission hypothermia and outcomes among very preterm infants (VPIs) in neonatal intensive care units (NICUs) in China. We also investigated the frequency of hypothermia in VPIs in China and the variation in hypothermia across Chinese Neonatal Network (CHNN) sites. STUDY DESIGN: weeks of gestation with an admission body temperature ≤37.5 °C who were admitted to CHNN-participating NICUs between January 1 and December 31, 2019. RESULTS: A total of 5,913 VPIs were included in this study, of which 4,075 (68.9%) had hypothermia (<36.5 °C) at admission. The incidence of admission hypothermia varied widely across CHNN sites (9-100%). Lower gestational age (GA), lower birth weight, antenatal steroid administration, multiple births, small for GA, Apgar scores <7 at the 5th minute, and intensive resuscitation were significantly associated with admission hypothermia. Compared with infants with normothermia (36.5-37.5 °C), the adjusted odds ratios (ORs) for composite outcome among infants with admission hypothermia <35.5 °C increased to 1.47 (95% confidence interval [CI], 1.15-1.88). The adjusted ORs for mortality among infants with admission hypothermia (36.0-36.4 and <35.5 °C) increased to 1.41 (95% CI, 1.09-1.83) and 1.93 (95% CI, 1.31-2.85), respectively. Admission hypothermia was associated with a higher likelihood of bronchopulmonary dysplasia, but was not associated with necrotizing enterocolitis ≥stage II, severe intraventricular hemorrhage, cystic periventricular leukomalacia, severe retinopathy of prematurity, or sepsis. CONCLUSION: Admission hypothermia remains a common problem for VPIs in a large cohort in China and is associated with adverse outcomes. Continuous quality improvement of admission hypothermia in the future may result in a substantial improvement in the outcomes of VPIs in China. KEY POINTS: · Admission hypothermia is common in VPIs.. · The incidence of admission hypothermia in VPIs remains high in China.. · Admission hypothermia is associated with adverse outcomes in VPIs..
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".