Mathematical modeling of the hematocrit influence on cerebral blood flow in preterm infants

Premature birth is one of the most important factors increasing the risk for brain damage in newborns. Development of an intraventricular hemorrhage in the immature brain is often triggered by fluctuations of cerebral blood flow (CBF). Therefore, monitoring of CBF becomes an important task in clinic...

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Bibliographic Details
Published in:PloS one 2021-12, Vol.16 (12), p.e0261819-e0261819
Main Authors: Sidorenko, Irina, Turova, Varvara, Rieger-Fackeldey, Esther, Felderhoff-Müser, Ursula, Kovtanyuk, Andrey, Brodkorb, Silke, Lampe, Renée
Format: Article
Language:English
Subjects:
Analysis
Biology and Life Sciences
Birth weight
Blood
Blood flow
Blood vessels
Body Weight
Brain - physiopathology
Brain damage
Brain injury
Brain research
Cerebral blood flow
Cerebral Hemorrhage - physiopathology
Cerebral palsy
Cerebrovascular Circulation
Female
Gestational Age
Health aspects
Hematocrit
Hemorrhage
Humans
Infant, Extremely Premature
Infant, Newborn
Infant, Premature
Infants
Infants (Premature)
Male
Mathematical analysis
Mathematical models
Medicine
Medicine and Health Sciences
Modelling
Models, Theoretical
Neonates
Newborn babies
Orthopedics
Pediatrics
Physical Sciences
Physiological aspects
Premature babies
Premature birth
Research and Analysis Methods
Retrospective Studies
Spectrum analysis
Statistical analysis
Viscosity
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Summary:Premature birth is one of the most important factors increasing the risk for brain damage in newborns. Development of an intraventricular hemorrhage in the immature brain is often triggered by fluctuations of cerebral blood flow (CBF). Therefore, monitoring of CBF becomes an important task in clinical care of preterm infants. Mathematical modeling of CBF can be a complementary tool in addition to diagnostic tools in clinical practice and research. The purpose of the present study is an enhancement of the previously developed mathematical model for CBF by a detailed description of apparent blood viscosity and vessel resistance, accounting for inhomogeneous hematocrit distribution in multiscale blood vessel architectures. The enhanced model is applied to our medical database retrospectively collected from the 254 preterm infants with a gestational age of 23-30 weeks. It is shown that by including clinically measured hematocrit in the mathematical model, apparent blood viscosity, vessel resistance, and hence the CBF are strongly affected. Thus, a statistically significant decrease in hematocrit values observed in the group of preterm infants with intraventricular hemorrhage resulted in a statistically significant increase in calculated CBF values.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0261819