8 research outputs found
βFinancial bubblesβ and monetary policy
The relevance of this research is caused by the need of strengthening a role of monetary regulators to prevent financial bubbles in the financial markets. The aim of the article is the analysis of a problem of crisis phenomena in the markets of financial assets owing to an inadequate growth of their cost, owing to subjective reasons. The leading approach to mechanism research of crisis phenomena in the market of financial assets is the approach based on a balance effect. Results: authors developed offers to prevent the crisis phenomena in the financial markets due to credit expansion. There is proved the necessity to develop a risk assessment system on existing and new financial instruments, with their obligatory application by commercial banks and rating agencies. The materials of the article can be useful at further studying the reasons for financial bubbles, development of actions for their prevention, and also in an educational process when studying certain subjects. Β© 2016 Tikhonov, Pudovkina and Permjakova
ΠΠ»ΠΈΠ½ΠΈΠΊΠΎ-Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΎΡΡΡΠΎΠΉ ΡΠΈΡΠΎΠΌΠ΅Π³Π°Π»ΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ Ρ Π΄Π΅ΡΠ΅ΠΉ
The aim. of the study is to optimize the Iaboratory diagnosis of cytomegaIovirus infection in chiIdren by finding cIinicaI and Iaboratory predictors corresponding to the acute stage of infection.MateriaIs and methods. The resuIts of 65 chiIdren age from 1 to 3 years outpatient of with cytomegaIovirus mono-nucIeosis are presented. Markers of herpes virus infections (CMV, EBV, HHV-6 type) were determined by PCR-reaI time (bIood, saIiva) and seroIogicaIIy (IgM, IgG).ResuIts. It has been estabIished. that acute cytomegaIovirus infection can occur both, in the form of infectious mononu-cIeosis and. be atypicaI accompanied, by proIonged fever and. severe Iymphadenopathy in most cases. Indirect Iaboratory markers of acute cytomegaIovirus infection are neutropenia and. hypoimmunogIobuIinemia IgA and. IgG. Acute cytomeg-aIovirus infection is accompanied by the virus shedding in both bIood and saIiva in aImost aII patients and the median vaIues of the viraI Ioad are different: 3,9 Ig DNA copies / mI for bIood, 4,9 Ig DNA copies / ml for saIiva. Using mathemati-caI modeIing, the βcut off" vaIue of viraI Ioad. for saIiva was determined, to be 4,1 Ig DNA copies / mI corresponding to 65.0% of the probabiIity of deveIoping acute CMV infection.ConcIusion. The study made it possibIe to substantiate the aIgorithm. for diagnosing acute cytomegaIovirus infection. in young chiIdren which. incIudes the most significant cIinicaI Iaboratory predictors, as weII as the caIcuIated. βcut off" vaIue of viraI Ioad. for saIiva equaI to 4,1 Ig DNA copies / mI. Determining the viraI Ioad in the saIiva of patients can be used, as an additionaI diagnostic criterion for the atypicaI form of acute cytomegaIovirus infection.Π¦Π΅Π»Ρ: ΠΎΠΏΡΠΈΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΡ ΡΠΈΡΠΎΠΌΠ΅Π³Π°Π»ΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ Ρ Π΄Π΅ΡΠ΅ΠΉ ΠΏΡΡΠ΅ΠΌ, ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
ΠΏΡΠ΅Π΄ΠΈΠΊΡΠΎΡΠΎΠ², ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΡ
ΠΎΡΡΡΠΎΠΉ ΡΡΠ°Π΄ΠΈΠΈ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ: ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ, ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ, Π°ΠΌΠ±ΡΠ»Π°ΡΠΎΡΠ½ΠΎΠ³ΠΎ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ 65 Π΄Π΅ΡΠ΅ΠΉ Ρ ΡΠΈΡΠΎΠΌΠ΅Π³Π°Π»ΠΎΠ²ΠΈ-ΡΡΡΠ½ΡΠΌ ΠΌΠΎΠ½ΠΎΠ½ΡΠΊΠ»Π΅ΠΎΠ·ΠΎΠΌ. Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ ΠΎΡ. 1 Π΄ΠΎ 3 Π»Π΅Ρ.. ΠΠ°ΡΠΊΠ΅ΡΡ. Π³Π΅ΡΠΏΠ΅Ρ-Π²ΠΈΡΡΡΠ½ΡΡ
ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ (Π¦ΠΠ, ΠΠΠ, ΠΠΠ§-6 ΡΠΈΠΏΠ°) ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ. ΠΠ¦Π -reaI time (ΠΊΡΠΎΠ²Ρ, ΡΠ»ΡΠ½Π°) ΠΈ ΡΠ΅ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈ (IgM, IgG).Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ: ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΠΎΡΡΡΠ°Ρ ΡΠΈΡΠΎΠΌΠ΅-Π³Π°Π»ΠΎΠ²ΠΈΡΡΡΠ½Π°Ρ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΡ ΠΌΠΎΠΆΠ΅Ρ, ΠΊΠ°ΠΊ ΠΏΡΠΎΡΠ΅ΠΊΠ°ΡΡ Π² Π²ΠΈΠ΄Π΅ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΎΠ½ΡΠΊΠ»Π΅ΠΎΠ·Π°, ΡΠ°ΠΊ ΠΈ Π±ΡΡΡ Π°ΡΠΈΠΏΠΈΡΠ½ΠΎΠΉ, ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π°ΡΡΡ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ Π»ΠΈΡ
ΠΎΡΠ°Π΄ΠΊΠΎΠΉ ΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΠΉ Π»ΠΈΠΌΡΠ°Π΄Π΅Π½ΠΎΠΏΠ°ΡΠΈΠ΅ΠΉ Π² Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²Π΅ ΡΠ»ΡΡΠ°Π΅Π². ΠΠΎΡΠ²Π΅Π½Π½ΡΠΌΠΈ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠΌΠΈ ΠΌΠ°ΡΠΊΠ΅ΡΠ°ΠΌΠΈ ΠΎΡΡΡΠΎΠΉ ΡΠΈΡΠΎΠΌΠ΅Π³Π°Π»ΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ ΡΠ²Π»ΡΡΡΡΡ Π½Π΅ΠΉΡΡΠΎΠΏΠ΅Π½ΠΈΡ ΠΈ Π³ΠΈΠΏΠΎΠΈΠΌΠΌΡΠ½ΠΎΠ³Π»ΠΎ-Π±ΡΠ»ΠΈΠ½Π΅ΠΌΠΈΡ IgA ΠΈ IgG. ΠΡΡΡΠ°Ρ ΡΠΈΡΠΎΠΌΠ΅Π³Π°Π»ΠΎΠ²ΠΈΡΡΡΠ½Π°Ρ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΡ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π°Π΅ΡΡΡ Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΠ΅ΠΌ Π²ΠΈΡΡΡΠ° ΠΊΠ°ΠΊ Π² ΠΊΡΠΎΠ²Ρ, ΡΠ°ΠΊ ΠΈ Π² ΡΠ»ΡΠ½Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ Ρ Π²ΡΠ΅Ρ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ², ΠΏΡΠΈΡΠ΅ΠΌ, Π·Π½Π°ΡΠ΅Π½ΠΈΡ ΠΌΠ΅Π΄ΠΈΠ°Π½ Π²ΠΈΡΡΡΠ½ΠΎΠΉ Π½Π°Π³ΡΡΠ·ΠΊΠΈ ΡΠ°Π·Π»ΠΈΡΠ½Ρ: Π΄Π»Ρ ΠΊΡΠΎΠ²ΠΈ 3,9 Ig ΠΊΠΎΠΏΠΈΠΉ ΠΠΠ/ΠΌΠ», Π΄Π»Ρ ΡΠ»ΡΠ½Ρ. β 4,9 Ig ΠΊΠΎΠΏΠΈΠΉ ΠΠΠ/ΠΌΠ». Π‘ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΎ Β«ΠΏΠΎΡΠΎΠ³ΠΎΠ²ΠΎΠ΅Β» Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ Π²ΠΈΡΡΡΠ½ΠΎΠΉ Π½Π°Π³ΡΡΠ·ΠΊΠΈ Π΄Π»Ρ ΡΠ»ΡΠ½Ρ., ΡΠ°Π²Π½ΠΎΠ΅ 4,1I g ΠΊΠΎΠΏΠΈΠΉ ΠΠΠ/ΠΌΠ», ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠ΅Π΅ 65,0% Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΡΡΡΠΎΠΉ Π¦ΠΠΠ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅: ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°ΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌ, Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΎΡΡΡΠΎΠΉ ΡΠΈΡΠΎΠΌΠ΅Π³Π°Π»ΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ Ρ Π΄Π΅ΡΠ΅ΠΉ ΡΠ°Π½Π½Π΅Π³ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ°, Π²ΠΊΠ»ΡΡΠ°ΡΡΠΈΠΉ Π² ΡΠ΅Π±Ρ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π·Π½Π°ΡΠΈΠΌΡΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠ΅ ΠΏΡΠ΅Π΄ΠΈΠΊΡΠΎΡΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ°ΡΡΡΠΈΡΠ°Π½Π½ΠΎΠ΅ ««поΡΠΎΠ³ΠΎΠ²ΠΎΠ΅Β» Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ Π²ΠΈΡΡΡΠ½ΠΎΠΉ Π½Π°Π³ΡΡΠ·ΠΊΠΈ Π΄Π»Ρ ΡΠ»ΡΠ½Ρ, ΡΠ°Π²Π½ΠΎΠ΅ 4,1 Ig ΠΊΠΎΠΏΠΈΠΉ ΠΠΠ/ΠΌΠ». ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π²ΠΈΡΡΡΠ½ΠΎΠΉ Π½Π°Π³ΡΡΠ·ΠΊΠΈ Π² ΡΠ»ΡΠ½Π΅ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΌΠΎΠΆΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΠΊΠ°ΠΊ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΊΡΠΈΡΠ΅ΡΠΈΠΉ ΠΏΡΠΈ Π°ΡΠΈΠΏΠΈΡΠ½ΠΎΠΉ ΡΠΎΡΠΌΠ΅ ΠΎΡΡΡΠΎΠΉ ΡΠΈΡΠΎΠΌΠ΅Π³Π°Π»ΠΎΠ²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ
Π€ΠΠΠ’ΠΠ Π« Π ΠΠ‘ΠΠ, ΠΠ‘Π‘ΠΠ¦ΠΠΠ ΠΠΠΠΠΠ«Π Π‘ Π ΠΠΠΠΠΠΠΠ ΠΠΠ’ΠΠ Π‘ ΠΠΠ‘Π‘ΠΠ Π’ΠΠΠ ΠΠΠΠΠ 2500 Π: Π ΠΠΠ£ΠΠ¬Π’ΠΠ’Π« Π ΠΠ’Π ΠΠ‘ΠΠΠΠ’ΠΠΠΠΠΠ ΠΠΠΠΠ Π’ΠΠΠΠ ΠΠΠΠΠΠ¦ΠΠΠ’Π ΠΠΠΠΠ ΠΠ‘Π‘ΠΠΠΠΠΠΠΠΠ―
Background. Improving nursing methods of newborns with birth weight less than 2500 g resulted in an increase in the proportion of children at risk for the development of severe disabling conditions. Objective: Our aim was to investigate the risk factors of the mother, associated with the birth of a child with a birth weight less than 2500 g. Methods. In a retrospective cohort study included 572 children born to 566 mothers in 5 perinatal centers. Risk assessment was carried out taking into account birth weight (in groups of children with normal, low, very low and extremely low birth weight). Results. Sample of mothers (n = 489), whose children had birth weightΒ Β Β Β 2500 g, characterized by a mean age of 31 (26; 35) years, the growth of 164 (159; 168) cm, weighing when registering for pregnancy 62 (53; 74) and 70 kg (60; 80) kg just before birth. Among the independent predictors of birth weight infants were allocated as follows: maternal education (higher/more), mother occupation (housewife/other), presence of chronic diseases, anemia during pregnancy, the threat of premature births, growth and weight of the motherβs body before birth, weight gain body during pregnancy, body mass index (BMI) when registering for antenatal care in pregnancy and before delivery. Conclusion. Identified risk factors for maternal birth weight infants, which can be used to stratify pregnant women at risk.Π‘ΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΠ΅Β ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ²Β Π²ΡΡ
Π°ΠΆΠΈΠ²Π°Π½ΠΈΡΒ Π½ΠΎΠ²ΠΎΡΠΎΠΆΠ΄Π΅Π½Π½ΡΡ
Β Ρ ΠΌΠ°ΡΡΠΎΠΉ ΡΠ΅Π»Π°Β ΠΏΡΠΈ ΡΠΎΠΆΠ΄Π΅Π½ΠΈΠΈΒ ΠΌΠ΅Π½Π΅Π΅ 2500Β Π³ ΠΏΡΠΈΠ²Π΅Π»ΠΎ ΠΊ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ Π΄ΠΎΠ»ΠΈΒ Π΄Π΅ΡΠ΅ΠΉ Π³ΡΡΠΏΠΏΡ ΡΠΈΡΠΊΠ° ΠΏΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠΆΠ΅Π»ΡΡ
Β ΠΈΠ½Π²Π°Π»ΠΈΠ΄ΠΈΠ·ΠΈΡΡΡΡΠΈΡ
Β ΡΠΎΡΡΠΎΡΠ½ΠΈΠΉ.Π¦Π΅Π»ΡΒ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΠΈΠ·ΡΡΠΈΡΡ ΡΠ°ΠΊΡΠΎΡΡΒ ΡΠΈΡΠΊΠ° ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ ΠΌΠ°ΡΠ΅ΡΠΈ, Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅Β Ρ ΡΠΎΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌΒ ΡΠ΅Π±Π΅Π½ΠΊΠ° ΠΌΠ°ΡΡΠΎΠΉ ΡΠ΅Π»Π°Β ΠΌΠ΅Π½Π΅Π΅ 2500Β Π³.ΠΠ΅ΡΠΎΠ΄Ρ.Β Π ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅Β ΠΊΠΎΠ³ΠΎΡΡΠ½ΠΎΠ΅Β ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅Β Π²ΠΊΠ»ΡΡΠ΅Π½ΡΒ Π΄Π°Π½Π½ΡΠ΅ 572Β Π΄Π΅ΡΠ΅ΠΉ,Β ΡΠΎΠΆΠ΄Π΅Π½Π½ΡΡ
Β ΠΎΡΒ 566Β ΠΌΠ°ΡΠ΅ΡΠ΅ΠΉ Π² 5 ΠΏΠ΅ΡΠΈΠ½Π°ΡΠ°Π»ΡΠ½ΡΡ
ΡΠ΅Π½ΡΡΠ°Ρ
. ΠΡΠ΅Π½ΠΊΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΈΡΠΊΠ° ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈΒ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΌΠ°ΡΡΡ ΡΠ΅Π»Π° ΠΏΡΠΈ ΡΠΎΠΆΠ΄Π΅Π½ΠΈΠΈΒ (Π² Π³ΡΡΠΏΠΏΠ°Ρ
Π΄Π΅ΡΠ΅ΠΉ Ρ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎΠΉ, Π½ΠΈΠ·ΠΊΠΎΠΉ, ΠΎΡΠ΅Π½Ρ Π½ΠΈΠ·ΠΊΠΎΠΉ ΠΈ ΡΠΊΡΡΡΠ΅ΠΌΠ°Π»ΡΠ½ΠΎ Π½ΠΈΠ·ΠΊΠΎΠΉ ΠΌΠ°ΡΡΠΎΠΉ ΡΠ΅Π»Π°).Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠ±ΠΎΡΠΊΠ° ΠΌΠ°ΡΠ΅ΡΠ΅ΠΉ (n = 489), ΡΡΠΈ Π΄Π΅ΡΠΈ ΠΈΠΌΠ΅Π»ΠΈ ΠΏΡΠΈ ΡΠΎΠΆΠ΄Π΅Π½ΠΈΠΈΒ ΠΌΠ°ΡΡΡ ΡΠ΅Π»Π°Β Β Β Β Β 2500 Π³, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π»Π°ΡΡ ΡΡΠ΅Π΄Π½ΠΈΠΌ Π²ΠΎΠ·ΡΠ°ΡΡΠΎΠΌ 31 (26; 35) Π³ΠΎΠ΄, ΡΠΎΡΡΠΎΠΌ 164 (159; 168) ΡΠΌ, ΠΌΠ°ΡΡΠΎΠΉ ΡΠ΅Π»Π° 62 (53; 74) ΠΊΠ³ ΠΏΡΠΈ ΠΏΠΎΡΡΠ°Π½ΠΎΠ²ΠΊΠ΅ Π½Π° ΡΡΠ΅Ρ ΠΏΠΎ Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ ΠΈ 70 (60; 80) ΠΊΠ³ Π½Π΅ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²Π΅Π½Π½ΠΎ ΠΏΠ΅ΡΠ΅Π΄ ΡΠΎΠ΄Π°ΠΌΠΈ. Π ΡΠΈΡΠ»Π΅ Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΡΡ
ΠΏΡΠ΅Π΄ΠΈΠΊΡΠΎΡΠΎΠ² ΡΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΠΌΠ°Π»ΠΎΠ²Π΅ΡΠ½ΡΡ
Π΄Π΅ΡΠ΅ΠΉ Π±ΡΠ»ΠΈ Π²ΡΠ΄Π΅Π»Π΅Π½Ρ ΡΠ»Π΅Π΄ΡΡΡΠΈΠ΅: ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅Β ΠΌΠ°ΡΠ΅ΡΠΈ (Π²ΡΡΡΠ΅Π΅/Π΄ΡΡΠ³ΠΎΠ΅), Π·Π°Π½ΡΡΠΎΡΡΡΒ ΠΌΠ°ΡΠ΅ΡΠΈ (Π΄ΠΎΠΌΠΎΡ
ΠΎΠ·ΡΠΉΠΊΠ°/Π΄ΡΡΠ³ΠΎΠ΅),Β Π½Π°Π»ΠΈΡΠΈΠ΅ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, Π°Π½Π΅ΠΌΠΈΠΈ Π²ΠΎ Π²ΡΠ΅ΠΌΡ Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ, ΡΠ³ΡΠΎΠ·Π° ΠΏΡΠ΅ΠΆΠ΄Π΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠΎΠ΄ΠΎΠ², ΡΠΎΡΡ ΠΈ ΠΌΠ°ΡΡΠ° ΡΠ΅Π»Π° ΠΌΠ°ΡΠ΅ΡΠΈ Π΄ΠΎ ΡΠΎΠ΄ΠΎΠ², ΠΏΡΠΈΠ±Π°Π²ΠΊΠ° ΠΌΠ°ΡΡΡ ΡΠ΅Π»Π° Π²ΠΎ Π²ΡΠ΅ΠΌΡ Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ, ΠΈΠ½Π΄Π΅ΠΊΡΡ ΠΌΠ°ΡΡΡ ΡΠ΅Π»Π° ΠΏΡΠΈ ΠΏΠΎΡΡΠ°Π½ΠΎΠ²ΠΊΠ΅ Π½Π° ΡΡΠ΅Ρ ΠΏΠΎ Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ Π² ΠΆΠ΅Π½ΡΠΊΡΡ ΠΊΠΎΠ½ΡΡΠ»ΡΡΠ°ΡΠΈΡ ΠΈ ΠΏΠ΅ΡΠ΅Π΄ ΡΠΎΠ΄Π°ΠΌΠΈ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΡΠ°ΠΊΡΠΎΡΡ ΡΠΈΡΠΊΠ° ΡΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΠΌΠ°Π»ΠΎΠ²Π΅ΡΠ½ΡΡ
Π΄Π΅ΡΠ΅ΠΉ ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ ΠΌΠ°ΡΠ΅ΡΠΈ, ΡΡΠΎ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΎ Π΄Π»Ρ ΡΡΡΠ°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΆΠ΅Π½ΡΠΈΠ½ ΠΏΠΎ Π³ΡΡΠΏΠΏΠ°ΠΌ ΡΠΈΡΠΊΠ°
The clinical and laboratory algorithm for the diagnosis of acute cytomegalovirus infection in children
The aim. of the study is to optimize the Iaboratory diagnosis of cytomegaIovirus infection in chiIdren by finding cIinicaI and Iaboratory predictors corresponding to the acute stage of infection.MateriaIs and methods. The resuIts of 65 chiIdren age from 1 to 3 years outpatient of with cytomegaIovirus mono-nucIeosis are presented. Markers of herpes virus infections (CMV, EBV, HHV-6 type) were determined by PCR-reaI time (bIood, saIiva) and seroIogicaIIy (IgM, IgG).ResuIts. It has been estabIished. that acute cytomegaIovirus infection can occur both, in the form of infectious mononu-cIeosis and. be atypicaI accompanied, by proIonged fever and. severe Iymphadenopathy in most cases. Indirect Iaboratory markers of acute cytomegaIovirus infection are neutropenia and. hypoimmunogIobuIinemia IgA and. IgG. Acute cytomeg-aIovirus infection is accompanied by the virus shedding in both bIood and saIiva in aImost aII patients and the median vaIues of the viraI Ioad are different: 3,9 Ig DNA copies / mI for bIood, 4,9 Ig DNA copies / ml for saIiva. Using mathemati-caI modeIing, the βcut off" vaIue of viraI Ioad. for saIiva was determined, to be 4,1 Ig DNA copies / mI corresponding to 65.0% of the probabiIity of deveIoping acute CMV infection.ConcIusion. The study made it possibIe to substantiate the aIgorithm. for diagnosing acute cytomegaIovirus infection. in young chiIdren which. incIudes the most significant cIinicaI Iaboratory predictors, as weII as the caIcuIated. βcut off" vaIue of viraI Ioad. for saIiva equaI to 4,1 Ig DNA copies / mI. Determining the viraI Ioad in the saIiva of patients can be used, as an additionaI diagnostic criterion for the atypicaI form of acute cytomegaIovirus infection
Research indicators of railway transport activity in time series
The urgency of the analyzed problem, connected with the trends description and the choice of the econometric model in unstable performance evaluation of transport, is due to the role of rail transport in the development of the Russian economy, as the bulk of goods and passengers are transported by rail. The purpose of the article is to describe the trends and the development of econometric models to assess and predict the performance of rail transport in Russia. The leading method of research is the analysis method of historical time series using adaptive models based on Chow test, which allows describing the trends in rail transport in Russia. The results of Chow test for the structural stability series of indicators of passenger and freight rail transport have shown the absence of a general trend in the historical time series. In such cases, to describe the trends the authors may not apply analytic alignment and it is advisable to use self-correcting recurrent models that take into account the importance of previous levels, and provide an opportunity to get reasonably accurate projections of future levels. Forecasting of considered indicators based on a two-parameter exponential smoothing model has showed further growth in turnover and a decrease in passenger rail transport. The data of this article may be useful for various levels of government in the development of economic development programs of Russia and its regions. Β© International Economic Society
RISK FACTORS ASSOCIATED WITH THE BIRTH OF CHILDREN WITH A BODY WEIGHT LESS THAN 2500 G: RESULTS OF A RETROSPECTIVE COHORT MULTICENTER STUDY
Background. Improving nursing methods of newborns with birth weight less than 2500 g resulted in an increase in the proportion of children at risk for the development of severe disabling conditions. Objective: Our aim was to investigate the risk factors of the mother, associated with the birth of a child with a birth weight less than 2500 g. Methods. In a retrospective cohort study included 572 children born to 566 mothers in 5 perinatal centers. Risk assessment was carried out taking into account birth weight (in groups of children with normal, low, very low and extremely low birth weight). Results. Sample of mothers (n = 489), whose children had birth weightΒ Β Β Β 2500 g, characterized by a mean age of 31 (26; 35) years, the growth of 164 (159; 168) cm, weighing when registering for pregnancy 62 (53; 74) and 70 kg (60; 80) kg just before birth. Among the independent predictors of birth weight infants were allocated as follows: maternal education (higher/more), mother occupation (housewife/other), presence of chronic diseases, anemia during pregnancy, the threat of premature births, growth and weight of the motherβs body before birth, weight gain body during pregnancy, body mass index (BMI) when registering for antenatal care in pregnancy and before delivery. Conclusion. Identified risk factors for maternal birth weight infants, which can be used to stratify pregnant women at risk