Ultrasound Diagnosis and Near-Infrared Spectroscopy in the Study of Encephalopathy in Neonates Born under Asphyxia: Narrative Review.

Brain injury resulting from adverse events during pregnancy and delivery is the leading cause of neonatal morbidity and disability. Surviving neonates often suffer long-term motor, sensory, and cognitive impairments. Birth asphyxia is among the most common causes of neonatal encephalopathy. The integration of ultrasound, including Doppler ultrasound, and near-infrared spectroscopy (NIRS) offers a promising approach to understanding the pathology and diagnosis of encephalopathy in this special patient population. Ultrasound diagnosis can be very helpful for the assessment of structural abnormalities associated with neonatal encephalopathy such as alterations in brain structures (intraventricular hemorrhage, infarcts, hydrocephalus, white matter injury) and evaluation of morphologic changes. Doppler sonography is the most valuable method as it provides information about blood flow patterns and outcome prediction. NIRS provides valuable insight into the functional aspects of brain activity by measuring tissue oxygenation and blood flow. The combination of ultrasonography and NIRS may produce complementary information on structural and functional aspects of the brain. This review summarizes the current state of research, discusses advantages and limitations, and explores future directions to improve applicability and efficacy.

Impaired platelet activity and hypercoagulation in healthy term and moderately preterm newborns during the early neonatal period.

BACKGROUND: Preterm newborns are at thrombohemorrhagic risk during the early neonatal period. Taking into account the lack of informative tools for the laboratory diagnosis of hemostasis disorders in newborns, our goal was to determine the baseline values of thrombodynamics and platelet functional activity in healthy term and moderately preterm newborns during the early neonatal period future potential clinical use of these tests. METHODS: Coagulation was assessed using an integral assay of thrombodynamics and standard coagulation assays, and platelet functional activity was estimated by flow cytometry. RESULTS: Hypercoagulation of newborns, represented by a significantly higher clot growth velocity and the presence of spontaneous clots in the thrombodynamics, was combined with platelet hypoactivity. Granule release, phosphatidylserine exposure, and the ability to change shape upon activation were decreased in the platelets of moderately preterm newborns. The platelet function remained at the same level over the first four days of life, whereas the hypercoagulation became less pronounced. CONCLUSIONS: The hemostasis of newborns is characterized by hypercoagulation combined with reduced platelet functional activity. Moderately preterm and term newborns do not differ in the parameters of coagulation, while some of the functional responses of platelets are lower in moderately preterm newborns than in term.

Structure simulation of ultrathin dichloromethane layer on a solid substrate by density functional theory and molecular dynamics simulations.

The method for prediction of structural properties of ultrathin liquid layers has been developed on the base of the atomistic molecular dynamics (AMD) and the density functional theory (DFT). A comparative analysis of ultrathin dichloromethane layer density profiles on three types of solid flat substrates showed that these approaches can be effectively used as mutually complementary procedures to describe the structural properties of nanometer scale surface layers. We used AMD calculations to predict the dichloromethane layer density profile on a solid substrate. However, it is difficult and computationally expensive to calculate structural and thermodynamic layers properties. At the same time, DFT can retain the microscopic details of macroscopic systems at the calculative cost significantly lower than that used in AMD. Therefore, in context of DFT, the substrate potential parameters are adjusted to reproduce AMD data. Thus, the obtained potential allows us to compute structural characteristics and, further, can be used to predict other physical properties of ultrathin films within the DFT framework. For instance, we calculated the coefficient of thermal expansion of dichloromethane in the case of three different substrates such as graphite, silicon oxide, and gold.