Intravenous immunoglobulin G therapy for neonatal hyperbilirubinemia
Bibliographic record
Abstract
BACKGROUND: Neonatal hyperbilirubinemia (NHb) results from increased total serum bilirubin and is a common reason for admission and readmission amongst newborn infants born in North America. The use of intravenous immunoglobulin (IVIG) therapy for treating NHb has been widely debated, and the current incidence of NHb and its therapies remain unknown. METHODS: Using national and provincial databases, a population-based retrospective cohort study of infants born in Ontario from April 2014 to March 2018 was conducted. RESULTS: Of the 533,084 infants born in Ontario at ≥35 weeks gestation, 29,756 (5.6%) presented with NHb. Among these infants, 80.1-88.2% received phototherapy, 1.1-2.0% received IVIG therapy and 0.1-0.2% received exchange transfusion (ET) over the study period. Although phototherapy was administered (83.0%) for NHb, its use decreased from 2014 to 2018 (88.2-80.1%) (P < 0.01). Similarly, the incidence of IVIG therapy increased from 71 to 156 infants (1.1-2.0%) (P < 0.01) and a small change in the incidence of ET (0.2-0.1%) was noted. CONCLUSION: IVIG therapy is increasingly being used in Ontario despite limited studies evaluating its use. The results of this study could inform treatment and management protocols for NHb. IMPACTS: Clinically significant neonatal hyperbilirubinemia still occurs in Ontario, with an increasing number of infants receiving Intravenous Immunoglobulin G (IVIG) therapy. IVIG continues to be used at increasing rates despite inconclusive evidence to recommend its use. This study highlights the necessity of a future prospective study to better determine the effectiveness of IVIG use in treating neonatal hyperbilirubinemia, especially given the recent shortage in IVIG supply in Ontario. The results of this study could inform treatment and management protocols for neonatal hyperbilirubinemia.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 | 0.001 |
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".