8 research outputs found
ΠΠΎΠ΄Π΅Π»Ρ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠ΅ΠΆΠ΄Π΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ ΡΠΎΠ΄Π°ΠΌΠΈ
Background: It seems relevant to study the contribution of socio-demographic, somatic and obstetric-gynecological factors in the implementation of preterm birth.
Aims: Assessment of the prognostic significance of socio-demographic, obstetric-gynecological and somatic factors in the prediction of preterm birth and associated adverse pregnancy outcomes with subsequent validation of the prognostic model.
Materials and methods: Cohort study with a mixed cohort. A retrospective assessment of socio-demographic factors, harmful habits, obstetric and gynecological pathology, somatic diseases, course and outcomes of pregnancy was carried out with the assessment of the status of newborns in 1246 women with subsequent construction of a predictive model of preterm birth and adverse outcomes of pregnancy using Regression with Optimal Scaling and its prospective validation in 100 women. Results: The most significant predictors, that increase the chance of preterm birth and adverse pregnancy outcomes, were history of premature birth, irregular monitoring during pregnancy, history of pelvic inflammatory disease, smoking, obesity, the onset of sexual activity up to 16 years, cardiovascular and endocrine diseases. Intellectual job reduced the chance of preterm birth and adverse pregnancy outcomes This multivariate predictive model has a diagnostic value. The score of risk factors 25 points had a sensitivity of 73%, a specificity of 71%, the area under the ROC curve (AUC) 0.76 (good quality), p0.001. After stratification of high-risk groups by maternal and perinatal pathology the following list of diagnostic and therapeutic measures is introduced and actively implemented in antenatal clinics. To stratificate this model, we prospectively analyze the course and pregnancy outcomes of 100 women divided into 2 groups: group 1 β 50 women with preterm delivery, group 2 β 50 women with term delivery. A total score of 25 and above had 44% of women in group 1 and only 10% of women in group 2 (sensitivity 81.4%, specificity 61.6%, positive predictive value 44%, negative predictive value 90%, positive likelihood ratio 2.2 [1.53.0], negative likelihood ratio 0.3 [0.130.68]).
Conclusions: We have proposed a model for predicting preterm birth and delivery and perinatal losses using the available characteristics of pregnant women from early pregnancy with moderate indicators of diagnostic value. Further validation of the model in the general population of pregnant women is required.ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅ΡΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΠΌ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ Π²ΠΊΠ»Π°Π΄Π° ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
, ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ Π°ΠΊΡΡΠ΅ΡΡΠΊΠΎ-Π³ΠΈΠ½Π΅ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π² ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΡ ΠΏΡΠ΅ΠΆΠ΄Π΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠΎΠ΄ΠΎΠ².
Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΠΎΡΠ΅Π½ΠΊΠ° Π·Π½Π°ΡΠΈΠΌΠΎΡΡΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
, Π°ΠΊΡΡΠ΅ΡΡΠΊΠΎ-Π³ΠΈΠ½Π΅ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π² ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠ΅ΠΆΠ΄Π΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠΎΠ΄ΠΎΠ² ΠΈ Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Ρ Π½ΠΈΠΌΠΈ Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΡ
ΠΈΡΡ
ΠΎΠ΄ΠΎΠ² Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ Ρ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠ΅ΠΉ Π²Π°Π»ΠΈΠ΄ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ ΠΏΡΠΎΠ³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ.
ΠΠ΅ΡΠΎΠ΄Ρ. ΠΠΎΠ³ΠΎΡΡΠ½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΎ ΡΠΌΠ΅ΡΠ°Π½Π½ΡΠΌΠΈ Π³ΡΡΠΏΠΏΠ°ΠΌΠΈ ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΎΠ². ΠΡΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½Π°Ρ ΠΎΡΠ΅Π½ΠΊΠ° ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ², Π²ΡΠ΅Π΄Π½ΡΡ
ΠΏΡΠΈΠ²ΡΡΠ΅ΠΊ, ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ, Π³ΠΈΠ½Π΅ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΈ ΠΈΡΡ
ΠΎΠ΄ΠΎΠ² Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ Π΄Π»Ρ Π½ΠΎΠ²ΠΎΡΠΎΠΆΠ΄Π΅Π½Π½ΡΡ
Ρ 1246 ΠΆΠ΅Π½ΡΠΈΠ½ Ρ ΡΠ΅Π»ΡΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠ΅ΠΆΠ΄Π΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠΎΠ΄ΠΎΠ² ΠΈ Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΡ
ΠΈΡΡ
ΠΎΠ΄ΠΎΠ² Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ ΠΏΡΠΈ ΠΏΠΎΠΌΠΎΡΠΈ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Ρ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠΌ ΡΠΊΠ°Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΈ Π²Π°Π»ΠΈΠ΄ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Ρ 100 ΠΆΠ΅Π½ΡΠΈΠ½.
Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π·Π½Π°ΡΠΈΠΌΡΠΌΠΈ ΠΏΡΠ΅Π΄ΠΈΠΊΡΠΎΡΠ°ΠΌΠΈ, ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°ΡΡΠΈΠΌΠΈ ΡΠΈΡΠΊ ΠΏΡΠ΅ΠΆΠ΄Π΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠΎΠ΄ΠΎΠ² ΠΈ Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΡ
ΠΈΡΡ
ΠΎΠ΄ΠΎΠ² Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ, ΠΎΠΊΠ°Π·Π°Π»ΠΈΡΡ ΠΏΡΠ΅ΠΆΠ΄Π΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΡΠΎΠ΄Ρ Π² Π°Π½Π°ΠΌΠ½Π΅Π·Π΅, Π½Π΅ΡΠ΅Π³ΡΠ»ΡΡΠ½ΠΎΠ΅ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΠ΅ Π²ΠΎ Π²ΡΠ΅ΠΌΡ Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ, Π²ΠΎΡΠΏΠ°Π»ΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΠΎΡΠ³Π°Π½ΠΎΠ² ΠΌΠ°Π»ΠΎΠ³ΠΎ ΡΠ°Π·Π° Π² Π°Π½Π°ΠΌΠ½Π΅Π·Π΅, ΠΊΡΡΠ΅Π½ΠΈΠ΅, ΠΎΠΆΠΈΡΠ΅Π½ΠΈΠ΅, Π½Π°ΡΠ°Π»ΠΎ ΠΏΠΎΠ»ΠΎΠ²ΠΎΠΉ ΠΆΠΈΠ·Π½ΠΈ Π΄ΠΎ 16 Π»Π΅Ρ, ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΡΠ΅ ΠΈ ΡΠ½Π΄ΠΎΠΊΡΠΈΠ½Π½ΡΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ. ΠΡΠΈΠ½Π°Π΄Π»Π΅ΠΆΠ½ΠΎΡΡΡ ΠΊ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ°Π±ΠΎΡΠ΅, Π½Π°ΠΎΠ±ΠΎΡΠΎΡ, ΡΠΌΠ΅Π½ΡΡΠ°Π»Π° ΡΠΈΡΠΊ ΠΏΡΠ΅ΠΆΠ΄Π΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠΎΠ΄ΠΎΠ² ΠΈ Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Ρ Π½ΠΈΠΌΠΈ Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΡ
ΠΈΡΡ
ΠΎΠ΄ΠΎΠ². ΠΠ°Π½Π½Π°Ρ ΠΏΡΠΎΠ³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΏΡΠΎΠ΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΠΎΠ²Π°Π»Π° Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΡΡ ΡΠ΅Π½Π½ΠΎΡΡΡ. ΠΡΠΈ ΠΏΠΎΠ΄ΡΡΠ΅ΡΠ΅ 25 ΠΈ Π±ΠΎΠ»Π΅Π΅ Π±Π°Π»Π»ΠΎΠ² ΠΌΠΎΠ΄Π΅Π»Ρ ΠΈΠΌΠ΅Π»Π° ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ 73%, ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΎΡΡΡ 71%, ΠΏΠ»ΠΎΡΠ°Π΄Ρ ΠΏΠΎΠ΄ ROC-ΠΊΡΠΈΠ²ΠΎΠΉ (AUC) 0,76 (ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ Ρ
ΠΎΡΠΎΡΠ΅Π΅), Ρ0,001. ΠΠΎΡΠ»Π΅ ΡΡΡΠ°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ Π³ΡΡΠΏΠΏ Π²ΡΡΠΎΠΊΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ° ΠΏΠΎ ΠΌΠ°ΡΠ΅ΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΈ ΠΏΠ΅ΡΠΈΠ½Π°ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΆΠ΅Π½ΡΠΊΠΎΠΉ ΠΊΠΎΠ½ΡΡΠ»ΡΡΠ°ΡΠΈΠΈ Π²Π½Π΅Π΄ΡΠ΅Π½ ΠΈ Π°ΠΊΡΠΈΠ²Π½ΠΎ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΠΉ ΠΏΠ΅ΡΠ΅ΡΠ΅Π½Ρ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ Π»Π΅ΡΠ΅Π±Π½ΠΎ-ΠΏΡΠΎΡΠΈΠ»Π°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΠΉ. Π‘ ΡΠ΅Π»ΡΡ ΡΡΡΠ°ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΈ ΠΈΡΡ
ΠΎΠ΄Ρ Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ Ρ 100 ΠΆΠ΅Π½ΡΠΈΠ½, ΡΠ°Π·Π΄Π΅Π»Π΅Π½Π½ΡΡ
Π½Π° 2 Π³ΡΡΠΏΠΏΡ ΠΏΠΎ 50 ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ, ΡΡΡ Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΡ Π·Π°ΠΊΠΎΠ½ΡΠΈΠ»Π°ΡΡ ΠΏΡΠ΅ΠΆΠ΄Π΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ ΠΈΠ»ΠΈ ΡΠ²ΠΎΠ΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌΠΈ ΡΠΎΠ΄Π°ΠΌΠΈ. Π Π³ΡΡΠΏΠΏΠ΅ 1 ΡΡΠΌΠΌΠ°ΡΠ½ΡΠΉ Π±Π°Π»Π» 25 ΠΈΠΌΠ΅Π»ΠΈ 44% ΠΆΠ΅Π½ΡΠΈΠ½, Π² Π³ΡΡΠΏΠΏΠ΅ 2 β ΡΠΎΠ»ΡΠΊΠΎ 10% ΠΆΠ΅Π½ΡΠΈΠ½ (ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ 81,4%, ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΎΡΡΡ 61,6%, ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΠΏΡΠΎΠ³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ 44%, ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½Π°Ρ ΠΏΡΠΎΠ³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ 90%, ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠ°Π²Π΄ΠΎΠΏΠΎΠ΄ΠΎΠ±ΠΈΡ 2,2 [1,53,0], ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠ°Π²Π΄ΠΎΠΏΠΎΠ΄ΠΎΠ±ΠΈΡ 0,3 [0,130,68]).
ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠ°ΠΌΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΌΠΎΠ΄Π΅Π»Ρ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠ΅ΠΆΠ΄Π΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠΎΠ΄ΠΎΠ² ΠΈ ΠΏΠ΅ΡΠΈΠ½Π°ΡΠ°Π»ΡΠ½ΡΡ
ΠΏΠΎΡΠ΅ΡΡ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π΄ΠΎΡΡΡΠΏΠ½ΡΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΆΠ΅Π½ΡΠΈΠ½ Ρ ΡΠ°Π½Π½ΠΈΡ
ΡΡΠΎΠΊΠΎΠ² Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ Ρ ΡΠΌΠ΅ΡΠ΅Π½Π½ΡΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΠΈ. Π’ΡΠ΅Π±ΡΠ΅ΡΡΡ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ°Ρ Π²Π°Π»ΠΈΠ΄ΠΈΠ·Π°ΡΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π½Π° Π±ΠΎΠ»ΡΡΠ΅ΠΉ ΠΏΠΎΠΏΡΠ»ΡΡΠΈΠΈ Π±Π΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΆΠ΅Π½ΡΠΈΠ½
Gender characteristics of the pathogenesis, prevention and treatment of metabolic syndrome [ΠΠ΅Π½Π΄Π΅ΡΠ½ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π·Π°, ΠΏΡΠΎΡΠΈΠ»Π°ΠΊΡΠΈΠΊΠΈ ΠΈ Π»Π΅ΡΠ΅Π½ΠΈΡ ΠΌΠ΅ΡΠ°Π±ΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΈΠ½Π΄ΡΠΎΠΌΠ°]
Metabolic syndrome (MS) is widespread which explains high relevance of the topic. The MS development depends on various factors (age, race, social and economic status, level of physical activity, cultural development, diet, genetic background and educational level). Traditionally, the MS assessment and cardiovascular risk stratification includes measurement of total cholesterol, triglycerides, high density lipoprotein cholesterol, low density lipoprotein cholesterol, as well as glucose and insulin levels. Some other factors are being investigated and might serve as the surrogate endpoints for the effectiveness of treatment and prevention strategies in addition to insulin resistance indices (HOMA-IR, Caro). These include some systemic biomarkers such as highly sensitive C-reactive protein, leptin and adiponectin, which mediate the link between inflammation and obesity, as well as potentially prognostic markers of cardiovascular diseases. The paper considers the gender specificity of the MS and main components of the MS, such as hypertension, insulin resistance, obesity, and dyslipidemia. We review different approaches of international guidelines and specific regional and national characteristics and analyze gender-related peculiarities of each component of the MS in order to justify an individualized choice of management approach. Β© 2020 All-Russian Public Organization Antihypertensive League. All rights reserved
Analysis of approaches to treating seasonal allergic rhinitis in pregnant women
Approximately 20-30% of reproductive-aged women suffer from seasonal allergic rhinitis, the uncontrolled course of which during pregnancy can not only worsen the quality of life and the course of comorbidities, but also give rise to maternal and fetal hypoxia. Objective. To analyze approaches to treating seasonal allergic rhinitis in pregnant women. Subjects and methods. An anonymous questionnaire survey of physicians (332 therapists and 734 obstetricians/ gynecologists) was conducted within the study βEpidemiology of Medication Use in Pregnant Womenβ (Stage 2); the clinical guidelines of foreign and Russian professional societies for this problem were analyzed. Results. The physicians rarely indicated topical steroids (8.4%); first-generation antihistamines were the leaders (29.7%); the physicians less often indicated second-generation drugs, such as loratadine (13.8%) and cetirizine (10.7%). Conclusion. In accordance with the guidelines, the approach to treating allergic rhinitis in pregnant women should be the same as applied to other patients; an important part is assigned to nondrug therapies. By taking into account the high prevalence of this disease, it is appropriate to do educational work on this problem among physicians. Β© Bionika Media Ltd
Analysis of approaches to treating seasonal allergic rhinitis in pregnant women
Approximately 20-30% of reproductive-aged women suffer from seasonal allergic rhinitis, the uncontrolled course of which during pregnancy can not only worsen the quality of life and the course of comorbidities, but also give rise to maternal and fetal hypoxia. Objective. To analyze approaches to treating seasonal allergic rhinitis in pregnant women. Subjects and methods. An anonymous questionnaire survey of physicians (332 therapists and 734 obstetricians/ gynecologists) was conducted within the study βEpidemiology of Medication Use in Pregnant Womenβ (Stage 2); the clinical guidelines of foreign and Russian professional societies for this problem were analyzed. Results. The physicians rarely indicated topical steroids (8.4%); first-generation antihistamines were the leaders (29.7%); the physicians less often indicated second-generation drugs, such as loratadine (13.8%) and cetirizine (10.7%). Conclusion. In accordance with the guidelines, the approach to treating allergic rhinitis in pregnant women should be the same as applied to other patients; an important part is assigned to nondrug therapies. By taking into account the high prevalence of this disease, it is appropriate to do educational work on this problem among physicians. Β© Bionika Media Ltd
Structural and electronic properties of Na/Cu(111) at different coverages by first principles
Nanostructures are presently enjoying an increasing interest in the
field of materials science. In particular, importance is given to
ordered monolayers prepared by deposition of atoms on a crystalline
surface. The growth of these superlattices can be controlled so as to
obtain an ordered structure by means of the lateral interaction of
adatoms lying on the metal surface.
The objective of our study is to investigate the structural and electronic
properties using DFT total-energy calculations; we employ a jellium-like
model to describe the substrate but we also take into account the
presence of discrete surface states that are known to affect the lateral
interaction. Our treatment of the substrate is based on the model
proposed by E.V. Chulkov etΒ al. [Surf. Sci. 437, 330 (1999)]; in this model one constructs a mono-dimensional potential so as
to reproduce some important electronic properties of the metal surface,
such as i) the energy gap in the projected bulk band-structure and
ii) the energy position of surface states. We put into practice Chulkov
potential implementing into an existing plane-waves code (ABINIT, URL
http://www.abinit.or