OUTCOME OF PRETERM INFANTS AFTER DELIVERY ROOM CARDIOPULMONARY RESUSCITATION. A RETROSPECTIVE OBSERVATIONAL STUDY
Bibliographic record
Abstract
Abstract BACKGROUND Chest compression in the delivery room (CPR-DR) during neonatal resuscitation is considered as an extreme measure. When respiratory support alone is unable to establish circulatory transition, chest compression with or without epinephrine is necessary. The results of earlier studies have shown varied results in mortality and morbidity of preterm infants who received CPR-DR. OBJECTIVES To examine the relationship between need of CPR-DR in infants born between 23 and 32 weeks gestation and neonatal mortality and morbidity. DESIGN/METHODS This was a population-based cohort study of 23 0/7 to 32 6/7 weeks gestational age infants born at a Canadian tertiary care hospital between January 1, 2007 and December 31, 2016. Data were retrieved from the Neonatal-Perinatal database. Neonatal mortality and morbidities were examined between infants who did and did not need CPR-DR. RESULTS Of 1443 newborns meeting study criteria, 55 (3.8%) received CPR-DR. On bivariate analysis, outcome of infants requiring CPR-DR was associated with higher mortality (40% vs. 5.8%, p <0.001), intraventricular hemorrhage grade 3 or 4 (21.8% vs. 6.1%, p <0.001), patent ductus arteriosus (54.5% vs. 27.7%, p<0.001), bronchopulmonary dysplasia (35.4% vs. 19.6%, p=0.007), need of mechanical ventilation (90.9% vs. 61.1%, p<0.001) and sepsis (23.6% vs. 13.5%, p=0.034). However, in a multivariable logistic regression analysis controlling for predictor variables, CPR-DR was only associated with increased neonatal mortality (aOR=4.41 p<0.001, 95%CI [2.18, 8.92]). CONCLUSION While CPR-DR is associated with a high mortality rate in infants less than 32 weeks gestation, associated morbidities are largely predicted by other risk factors.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".