Evidence map›Paper›PMID 42336944›Full record

ArticleScientific reports2026

Multi-infusion setups in neonatal intensive care unit (NICU) a mass transport evaluation and graphical user interface development.

Gloria Palazzo, Maria Grazia Romitti, Carmen Rodriguez-Perez, Elena Pezzotti, Cristina Serena Marzari, Eleonora Salurso, Gianfranco Beniamino Fiore, Alberto Luigi Cesare Redaelli, Clarissa Ferrari, Francesco Maria Risso and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Gloria Palazzo *3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, 20097, Italy.
Maria Grazia Romitti *Neonatal Intensive Care Unit, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, 25124, Italy. mariagrazia.romitti@poliambulanza.it.
Carmen Rodriguez-Perez *Children's Hospital ASST Spedali Civili di Brescia, Brescia, 25123, Italy.
Elena Pezzotti *Children's Hospital ASST Spedali Civili di Brescia, Brescia, 25123, Italy.
Cristina Serena MarzariNeonatal Intensive Care Unit, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, 25124, Italy.
Eleonora Salurso *Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, 20133, Italy.
Gianfranco Beniamino Fiore *Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, 20133, Italy.
Alberto Luigi Cesare RedaelliDepartment of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, 20133, Italy.
Clarissa FerrariNeonatal Intensive Care Unit, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, 25124, Italy.
Francesco Maria RissoChildren's Hospital ASST Spedali Civili di Brescia, Brescia, 25123, Italy.
Giuseppe PaterliniNeonatal Intensive Care Unit, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, 25124, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Critically ill neonates in Intensive Care Units require complex pharmacological and nutritional therapies often administered through small-calibre, single-lumen vascular accesses. This practice, known as multi-infusion, involves the simultaneous administration of multiple solutions, presenting significant challenges in terms of fluid dynamic management and clinical safety. This study analyses the performance of common infusion line configurations, focusing on transit times and the concentration profiles of solutions delivered to the patient. A software tool was implemented to simulate and predict solute transport under various infusion settings, providing an instrument for assessing real-life clinical scenarios. Furthermore, a practical graphical user interface was developed to translate these complex numerical methods into an accessible educational tool. As a preliminary study, it allows clinicians to input patient-specific details and infusion parameters, and the application calculates and visualizes the underlying fluid dynamics in real-time. This approach enables the pre-emptive simulation of various infusion settings, making it possible to predict concentration profiles and transit times. The interface improves clinical awareness by enabling healthcare providers to simulate and compare real-world scenarios. This deeper understanding of the system's physical behaviour helps optimize the management of complex multi-infusion setups, supporting more accurate planning in neonatal care.

Indexed as

Intensive Care Units, NeonatalUser-Computer InterfaceComputer SimulationHumansInfant, NewbornInfusions, IntravenousSoftwareComputer simulationDrug delivery systemsGraphical user interfaceIntravenous infusionNeonatal intensive care unit (NICU)

Identifiers

PMID42336944
PMCPMC13575159

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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.