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Predicting the Need for Phototherapy After Discharge
Michael W Kuzniewicz1,2,3, Jina Park3, Hamid Niki4
1Division of Research and michael.w.kuzniewicz@kp.org.
Insights
New predictive models using the difference between bilirubin levels and phototherapy thresholds (Δ-TSB) show excellent ability to predict hyperbilirubinemia risk in newborns. These Δ-TSB models may be simpler and more effective than the Bhutani Nomogram for guiding infant care.
Area of Science:
- Neonatal Medicine
- Pediatric Healthcare
- Medical Predictive Modeling
Background:
- Neonatal hyperbilirubinemia screening before discharge identifies infants at risk.
- The American Academy of Pediatrics (AAP) recommends the Bhutani Nomogram for follow-up and phototherapy guidance.
- Current methods involve separate graphs, prompting research into unified predictive tools.
Purpose of the Study:
- To evaluate predictive models incorporating the difference between last total serum bilirubin (TSB) and AAP phototherapy threshold (Δ-TSB).
- To assess the models' ability to predict postdischarge TSB above phototherapy threshold using a single graph.
- To compare the predictive accuracy of Δ-TSB models against the Bhutani Nomogram.
Main Methods:
- Studied 148,162 infants born at ≥35 weeks' gestation (2012-2017).
- Compared three logistic models: Δ-TSB, Δ-TSB-Plus (with additional variables), and Bhutani Nomogram.
- Utilized the area under the receiver operating characteristic curve (AUC) on a 20% validation subset.
Main Results:
- 2,623 infants (1.8%) exceeded phototherapy threshold postdischarge.
- Δ-TSB models demonstrated superior discrimination: Δ-TSB (AUC 0.93) and Δ-TSB-Plus (AUC 0.95) vs. Bhutani Nomogram (AUC 0.88).
- Predicted probability of exceeding threshold varied significantly based on predischarge Δ-TSB values.
Conclusions:
- Δ-TSB models effectively predict postdischarge TSB levels exceeding phototherapy thresholds.
- These models offer excellent predictive ability and may be simpler to implement than the Bhutani Nomogram.
- The findings suggest a potential improvement in neonatal hyperbilirubinemia risk assessment and management.
Background And Objectives:
Bilirubin screening before discharge is performed to identify neonates at risk for future hyperbilirubinemia. The American Academy of Pediatrics recommends using a graph of bilirubin levels by age (the Bhutani Nomogram) to guide follow-up and a different graph to determine phototherapy recommendations. Our objective was to evaluate predictive models that incorporate the difference between the last total serum bilirubin (TSB) before discharge and the American Academy of Pediatrics phototherapy threshold (Δ-TSB) to predict a postdischarge TSB above the phototherapy threshold by using a single graph.
Methods:
We studied 148 162 infants born at ≥35 weeks' gestation at 11 Kaiser Permanente Northern California facilities from 2012 to 2017 whose TSB did not exceed phototherapy levels and who did not receive phototherapy during the birth hospitalization. We compared 3 logistic models (Δ-TSB; Δ-TSB-Plus, which included additional variables; and the Bhutani Nomogram) by using the area under the receiver operating characteristic curve (AUC) in a 20% validation subset.
Results:
A total of 2623 infants (1.8%) exceeded the phototherapy threshold postdischarge. The predicted probability of exceeding the phototherapy threshold after discharge ranged from 56% for a predischarge Δ-TSB 0 to 1 mg/dL below the threshold to 0.008% for Δ-TSB >7 mg/dL below the threshold. Discrimination was better for the Δ-TSB model (AUC 0.93) and the Δ-TSB-Plus model (AUC 0.95) than for the Bhutani Nomogram (AUC 0.88).
Conclusions:
The use of Δ-TSB models had excellent ability to predict postdischarge TSB above phototherapy thresholds and may be simpler to use than the Bhutani Nomogram.
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