Human serum albumin: prediction model and reference values for preterm and term neonates
To improve future pharmacokinetic modeling initiatives, a high-performance human serum albumin (HSA) prediction model was developed for (pre)term neonates, using a large, single-center cohort of real-world data. This prediction model integrates both maturational and non-maturational covariates, resulting in accurate HSA predictions in neonates. Additionally, HSA centiles based on postnatal and gestational age were developed, which can be easily applied in clinical practice when interpreting HSA concentrations of neonates. In general, unbound drug fractions are higher in neonates compared to older populations. To improve pharmacotherapy of HSA-bound drugs in neonates, the obtained results can be integrated in future pharmacokinetic-pharmacodynamic analyses.
Authors
- Matthias Gijsen (ORCID: https://orcid.org/0000-0003-1378-3772)
- Gunnar Naulaers (ORCID: https://orcid.org/0000-0003-0735-4808)
- Erwin Dreesen (ORCID: https://orcid.org/0000-0002-0785-2930)
- Annouschka Laenen (ORCID: https://orcid.org/0000-0002-1371-442X)
- Pieter Vermeersch (ORCID: https://orcid.org/0000-0001-7076-061X)
- Anne Smits (ORCID: https://orcid.org/0000-0002-0710-6698)
- Glynis Frans (ORCID: https://orcid.org/0000-0001-8528-5719)
- Karel Allegaert (ORCID: https://orcid.org/0000-0001-9921-5105)
- Isabel Spriet (ORCID: https://orcid.org/0000-0001-6342-0676)
- Zoë Vander Elst (ORCID: https://orcid.org/0000-0003-3060-6719)
- Jana Deberdt
- Lotte Delemarre
Institutions
- Universitair Ziekenhuis Leuven (BE)
- Erasmus MC (NL)
- Statistics Belgium (BE)
- Erasmus University Rotterdam (NL)
- KU Leuven (BE)
Publication Details
- Journal
- Pediatric Research
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1038/s41390-024-03634-1
- Citations
- 2
- Primary Topic
- Antibiotics Pharmacokinetics and Efficacy
- Type
- article
- Field-Weighted Citation Impact
- 0.90
Funders
- Fonds Wetenschappelijk Onderzoek
- Vlaamse regering