Impact of Early Postnatal Weight Gain on Retinopathy of Prematurity in Very Preterm Infants in Southwestern Ontario
Bibliographic record
Abstract
PURPOSE: To examine the relationship between post-natal growth and development of retinopathy of prematurity (ROP) among preterm infants in southwestern Ontario. METHODS: The medical records of 431 preterm infants, born between January 1, 2008, and June 1, 2015, with a gestational age (GA) of less than 31 weeks or birth weight (BW) of less than 1,250 g were reviewed. Information collected included pregnancy and birth history, neonatal characteristics, ROP status, comorbidities, and postnatal weight measurements at specified intervals. Infants diagnosed as having ROP and no ROP were compared. RESULTS: Low weight velocity from day 7 to day 28 (P < .001), high weight velocity from birth to first day of full enteral feeding (FEF) (P < .001), long duration from birth to FEF (P < .001), and long duration from FEF to discharge/transfer (P < .001) were associated with ROP. After controlling for GA and BW, the durations, birth to FEF, and FEF to discharge/transfer remained significant (P < .05). In a multivariable logistic regression analysis adjusting for GA, bronchopulmonary dysplasia, and surgical ligation for patent ductus arteriosus, the only independent risk factor of ROP was duration from FEF to discharge/transfer (P < .05). CONCLUSIONS: Low weight velocity from day 7 to day 28 may be a useful predictor for the development of ROP but is dependent on GA and BW. A delay to reach FEF, which is associated with comorbidities of ROP, appears to be a risk factor for ROP that is independent of GA and BW. [J Pediatr Ophthalmol Strabismus. 2019;56(3):168-172.].
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".