Clinical Correlations in Infants in the Neonatal Intensive Care Unit With Varying Severity of Gastroesophageal Reflux
Bibliographic record
Abstract
BACKGROUND: Gastroesophageal reflux (GER) is frequently a benign condition in infancy with spontaneous resolution. In the neonatal intensive care unit (NICU), however, it can add to neonatal morbidity if not adequately diagnosed and treated. The objective of the current study was to analyze factors associated with GER in infants in the NICU and correlate them with the severity of the disease. METHODS: All infants in the NICU (n = 150; born November 1994 through April 1999) who were evaluated by a five-channel pH study to rule out GER were included in the study. Infants were grouped as normal, with a reflux index (RI) of less than 6 (n = 66); mild, with RI of 6 to 14 (n = 42); and severe, with RI of more than 14 (n = 42). Maternal and neonatal data were obtained. Clinical GER was defined as the presence of feeding problems (significant gastric residue or emesis) and medical improvement with antireflux measures and medications. RESULTS: There was no difference in birth weight, gestational age; incidence of patent ductus arteriosus, intraventricular hemorrhage, necrotizing enterocolitis, or chronic lung disease; and treatment with aminophylline or caffeine among the groups. Infants with mild and severe GER (RI 6-14 and >14) had significantly more clinical GER than the normal group (P = 0.0001). Additionally, infants with RI more than 14 had significantly more respiratory distress syndrome, lower hematocrits at the time of study and longer length of stay than those with no or mild GER (P = 0.02). CONCLUSION: Infants with severe GER had lower hematocrits despite receiving more blood transfusions and iron therapy. Infants with severe GER also had prolonged hospital stays. Early diagnosis and aggressive management of GER may decrease neonatal morbidity and result in earlier discharge from the NICU.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".