Evidence map›Paper›PMID 39394426›Full record

ArticlePediatric research2026

Human serum albumin: prediction model and reference values for preterm and term neonates.

Zoë Vander Elst, Annouschka Laenen, Jana Deberdt, Lotte Delemarre, Pieter Vermeersch, Glynis Frans, Gunnar Naulaers, Matthias Gijsen, Erwin Dreesen, Isabel Spriet and 2 more

Abstract read
In one paragraph

Article in Pediatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Beyond Single Cutoffs: Gestational and Postnatal Age-Specific Interpretation of Neonatal Laboratory Markers.Pediatrics international : official journal of the Japan Pediatric Society
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Zoë Vander ElstDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-3060-6719
Annouschka LaenenLeuven Biostatistics and Statistical Bioinformatics Centre (L-Biostat), KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-1371-442X
Jana DeberdtFaculty of Medicine, KU Leuven, Leuven, Belgium.
Lotte DelemarreFaculty of Medicine, KU Leuven, Leuven, Belgium.
Pieter VermeerschDepartment of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-7076-061X
Glynis FransDepartment of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-8528-5719
Gunnar NaulaersDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-0735-4808
Matthias GijsenDepartment of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-1378-3772
Erwin DreesenDepartment of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-0785-2930
Isabel SprietDepartment of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-6342-0676
Karel AllegaertDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-9921-5105
Anne SmitsDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium. anne.smits@uzleuven.be.ORCID http://orcid.org/0000-0002-0710-6698

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman serum albumin (HSA) concentrations may alter HSA-bound drug distribution. This study aims to describe longitudinal real-world HSA trends, and to develop a prediction model for HSA concentrations using a large neonatal cohort.

methodsPatients admitted to the neonatal intensive care unit of the University Hospitals Leuven (postnatal age (PNA) ≤28days) were retrospectively included. Using linear mixed models, covariate effects on HSA were explored. A multivariable prediction model was developed (backward model selection procedure, 1% significance level).

resultsIn total, 848 neonates were included [median(interquartile range) gestational age (GA) 35(32-38)weeks, birth weight (BW) 2400(1640-3130)grams]. Median HSA concentration was 32.3(28.7-35.6)g/L. Longitudinal analyses demonstrated increasing HSA concentrations with PNA and GA for most GA groups. Univariable analyses revealed significant associations of HSA with PNA, GA, BW, current weight, total and direct bilirubin, total plasma proteins, respiratory support, mechanical ventilation, sepsis, ibuprofen use, and C-reactive protein (p-values < 0.05). A high-performance (R

conclusionPopulation-specific HSA centiles and an accurate neonatal HSA prediction model were developed, incorporating both maturational and non-maturational covariates. These results can enhance future clinical care and pharmacokinetic analyses to improve pharmacotherapy of HSA-bound drugs in neonates, respectively. IMPACT: 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.

Indexed as

Infant, PrematureSerum AlbuminSerum Albumin, HumanBirth WeightFemaleGestational AgeHumansInfant, NewbornIntensive Care Units, NeonatalLongitudinal StudiesMaleReference ValuesRetrospective StudiesSerum AlbuminSerum Albumin, Human

Identifiers

PMID39394426
PMCPMC12956593

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.