Publications by authors named "E V Shilova"

New photocatalytic materials based on complex oxides and a widely used and cheap polymer (PMMA) have been prepared. Among complex oxides previously investigated, the following have been used-RbTeWO, CsTeMoO, CsVTeO, NaVMoO, KVMoO. For comparison, the binary oxides TiO and WO were used.

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The qualitative composition and zeta potential of magnetite nanoparticles (size 4.2±1.2 nm) obtained by co-precipitation method were determined by X-ray and diffraction dynamic light scattering.

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Article Synopsis
  • Adequate maternal thyroid function is crucial for a healthy pregnancy, yet previous studies on thyroid dysfunction and pregnancy-related hypertension show inconsistent and varied results.
  • In this systematic review and meta-analysis, researchers analyzed data from multiple cohort studies to investigate the link between thyroid function abnormalities and risks of gestational hypertension and pre-eclampsia.
  • The study included a large sample of 46,528 pregnant women, focusing on thyroid-stimulating hormone, free thyroxine levels, and thyroid antibodies, while excluding certain groups to ensure the accuracy of the findings.
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There is no universal diagnostic and treatment strategy of subclinical hypothyroidism (SHT) in pregnant women and those who are planning pregnancy due to differences in population-specific and trimester-specific thyroid-stimulating hormone (TSH) reference values, influence of thyroid autoimmunity markers on pregnancy outcomes, adherence to fixed universal cutoff concentrations TSH in Russia and multidisciplinary team care with different treatment opinions involving. An absence of universal approach to SHT leads to excess treatment, financial and psychological burden on pregnant women.Up to American Thyroid Association (ATA) Guidelines 2017 and project of Clinical Guidelines of Russian Association of Endocrinologists 2019 a treatment strategy of SHT should be left up to the endocrinologist to choose.

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The incorporation of glycemic index (GI) and glycemic load (GL) is a promising way to improve the accuracy of postprandial glycemic response (PPGR) prediction for personalized treatment of gestational diabetes (GDM). Our aim was to assess the prediction accuracy for PPGR prediction models with and without GI data in women with GDM and healthy pregnant women. The GI values were sourced from University of Sydney's database and assigned to a food database used in the mobile app DiaCompanion.

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