Assessing accuracy of BiliPredics algorithm in predicting individual bilirubin progression in neonates—results from a prospective multi-center study
Results from this prospective study in neonates confirm that the BiliPredics algorithm accurately predicts bilirubin progression up to 60 h with TSB measurements and up to 48 h with TcB or combined TSB-TcB measurements. As such, prediction tools utilizing this algorithm are expected to facilitate and safely optimize jaundice risk assessment at hospital discharge with the potential to reduce jaundice-related rehospitalizations.
Authors
- Gilbert Koch (ORCID: https://orcid.org/0000-0002-9386-0506)
- Marc Pfister (ORCID: https://orcid.org/0000-0003-2597-1228)
- Axel Rainer Franz (ORCID: https://orcid.org/0000-0001-5066-0857)
- Britta Steffens (ORCID: https://orcid.org/0009-0002-2259-4180)
- Corinna Engel (ORCID: https://orcid.org/0000-0002-8565-6986)
- Sven Wellmann (ORCID: https://orcid.org/0000-0001-9230-6266)
Institutions
- University of Basel (CH)
- University Children's Hospital Tübingen (DE)
- University Children’s Hospital Basel (CH)
- University of Regensburg (DE)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-02-18
- DOI
- https://doi.org/10.3389/fdgth.2025.1497165
- Citations
- 2
- Primary Topic
- Neonatal Health and Biochemistry
- Type
- article
- Field-Weighted Citation Impact
- 6.99