Model-based characterization of total serum bilirubin dynamics in preterm infants

The study characterizes the natural dynamics of total serum bilirubin in preterm infants (24-32 weeks' gestation) using a patient-specific exponential decay model. The model describes patient-specific patterns of TSB evolution from day three to the first weeks, providing a median [IQR] root-mean-squared error of 8.74 [4.89, 14.25] µmol/L. Complementary to previous studies focusing on the first 72-96 h, our study emphasizes the later decay course, contributing to a comprehensive long-term characterization of the natural TSB dynamics in preterm infants. The proposed model holds potential for clinical decision support systems for the optimization of NICU monitoring and high-risk event detection.

Authors

Institutions

Publication Details

Journal
Pediatric Research
Published
2024-11-07
DOI
https://doi.org/10.1038/s41390-024-03644-z
Citations
3
Primary Topic
Neonatal Health and Biochemistry
Type
article
Field-Weighted Citation Impact
3.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Model-based characterization of total serum bilirubin dynamics in preterm infants

Alfredo Hernández, Géraldine Gascoin, Emmanuelle Levine, Alain Beuchée et al.
3 citations
Pediatric Research
Neonatal Health and Biochemistry
3.33
article

Model-based characterization of total serum bilirubin dynamics in preterm infants

Alfredo Hernández, Géraldine Gascoin, Emmanuelle Levine, Alain Beuchée, Meng Chen, Laurent Storme
article en
3 citations

Abstract

The study characterizes the natural dynamics of total serum bilirubin in preterm infants (24-32 weeks' gestation) using a patient-specific exponential decay model. The model describes patient-specific patterns of TSB evolution from day three to the first weeks, providing a median [IQR] root-mean-squared error of 8.74 [4.89, 14.25] µmol/L. Complementary to previous studies focusing on the first 72-96 h, our study emphasizes the later decay course, contributing to a comprehensive long-term characterization of the natural TSB dynamics in preterm infants. The proposed model holds potential for clinical decision support systems for the optimization of NICU monitoring and high-risk event detection.

Pediatric ResearchVol. 97(6)
Inserm (FR), Université de Lille (FR), Centre Hospitalier Universitaire de Lille (FR), Laboratoire Traitement du Signal et de l'Image (FR), Centre Hospitalier Universitaire d'Angers (FR), Centre Hospitalier Universitaire de Rennes (FR), Université d'Angers (FR), Université de Rennes (FR)
China Scholarship Council, Centre Hospitalier Universitaire de Rennes
Zero hunger
Openalex Percentile: Top 8%
Neonatal Health and Biochemistry
3.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Model-based characterization of total serum bilirubin dynamics in preterm infants — Alfredo Hernández, Géraldine Gascoin, et al. · Pediatric Research (2024) | TGRS Research Map | TGRS