4 research outputs found

    ΠŸΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Π΅ Ρ€ΠΎΠ΄Ρ‹ ΠΏΡ€ΠΈ гСстационном сахарном Π΄ΠΈΠ°Π±Π΅Ρ‚Π΅ - Ρ€Π΅Π·Π΅Ρ€Π² сниТСния частоты ΠΎΠΏΠ΅Ρ€Π°Ρ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ Ρ€ΠΎΠ΄ΠΎΡ€Π°Π·Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ

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    Background. In modern obstetric practice, programmed labor is increasingly becoming an alternative to operative delivery. Algorithm for its management is especially important for an ever-increasing group of patients with a burdened somatic and obstetric and gynecological history. Objective. Evaluation of the results and outcomes of programmed labor in patients with preeclampsia (PE), gestational diabetes mellitus (GDM) and a high perinatal risk. Methods A retrospective cohort study included 160 women with a high perinatal risk, singleton pregnancy, full-term gestational age (38-41 weeks) who underwent programmed labor, and their newborns. The patients were divided into 2 groups: the 1st group - with GDM (n=120), the 2nd one - with GDM in combination with PE (n=40). Results. As a result of programmed labor in patients with high perinatal risk and GDM and in the high-risk group - combination of GDM and PE, satisfactory perinatal outcomes were recorded, the incidence of neonatal morbidity decreased by 1.5 times. Conclusion Programmed labor in pregnant women with high perinatal risk serves as an alternative to operative delivery in patients with GDM and patients with GDM in combination with PE.ОбоснованиС. ΠΠ»ΡŒΡ‚Π΅Ρ€Π½Π°Ρ‚ΠΈΠ²ΠΎΠΉ ΠΎΠΏΠ΅Ρ€Π°Ρ‚ΠΈΠ²Π½ΠΎΠΌΡƒ Ρ€ΠΎΠ΄ΠΎΡ€Π°Π·Ρ€Π΅ΡˆΠ΅Π½ΠΈΡŽ Π² соврСмСнной Π°ΠΊΡƒΡˆΠ΅Ρ€ΡΠΊΠΎΠΉ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ΅ всС Ρ‡Π°Ρ‰Π΅ становятся ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Π΅ Ρ€ΠΎΠ΄Ρ‹. ОсобСнно Π²Π°ΠΆΠ΅Π½ ΠΈΡ… Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ для постоянно ΡƒΠ²Π΅Π»ΠΈΡ‡ΠΈΠ²Π°ΡŽΡ‰Π΅ΠΉΡΡ Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠΊ с отягощСнным соматичСским ΠΈ Π°ΠΊΡƒΡˆΠ΅Ρ€ΡΠΊΠΎ-гинСкологичСским Π°Π½Π°ΠΌΠ½Π΅Π·ΠΎΠΌ. ЦСль исслСдования. Π˜Π·ΡƒΡ‡ΠΈΡ‚ΡŒ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ΠΈ исходы ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Ρ€ΠΎΠ΄ΠΎΠ² Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠΊ с прСэклампсиСй (ПЭ), гСстационным сахарным Π΄ΠΈΠ°Π±Π΅Ρ‚ΠΎΠΌ (Π“Π‘Π”) ΠΈ высокой ΡΡ‚Π΅ΠΏΠ΅Π½ΡŒΡŽ ΠΏΠ΅Ρ€ΠΈΠ½Π°Ρ‚Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ риска. ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ рСтроспСктивноС ΠΊΠΎΠ³ΠΎΡ€Ρ‚Π½ΠΎΠ΅ исслСдованиС Π±Ρ‹Π»ΠΈ Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Ρ‹ 160 ΠΆΠ΅Π½Ρ‰ΠΈΠ½ с высокой ΡΡ‚Π΅ΠΏΠ΅Π½ΡŒΡŽ ΠΏΠ΅Ρ€ΠΈΠ½Π°Ρ‚Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ риска, ΠΎΠ΄Π½ΠΎΠΏΠ»ΠΎΠ΄Π½ΠΎΠΉ Π±Π΅Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΡΡ‚ΡŒΡŽ, Π΄ΠΎΠ½ΠΎΡˆΠ΅Π½Π½Ρ‹ΠΌ сроком бСрСмСнности (38-41 нСдСля), ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌ Π±Ρ‹Π»ΠΈ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Ρ‹ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Π΅ Ρ€ΠΎΠ΄Ρ‹, ΠΈ ΠΈΡ… Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Π΅. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΊΠΈ Ρ€Π°Π·Π΄Π΅Π»Π΅Π½Ρ‹ Π½Π° 2 Π³Ρ€ΡƒΠΏΠΏΡ‹: 1-я - с Π“Π‘Π” (n=120), 2-я - с Π“Π‘Π” Π² сочСтании с ПЭ (n=40). Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Ρ€ΠΎΠ΄ΠΎΠ² ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠΊ с высоким ΠΏΠ΅Ρ€ΠΈΠ½Π°Ρ‚Π°Π»ΡŒΠ½Ρ‹ΠΌ риском ΠΈ Π“Π‘Π” ΠΈ Π² Π³Ρ€ΡƒΠΏΠΏΠ΅ высокого риска - сочСтания Π“Π‘Π” ΠΈ ПЭ, зафиксированы ΡƒΠ΄ΠΎΠ²Π»Π΅Ρ‚Π²ΠΎΡ€ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ ΠΏΠ΅Ρ€ΠΈΠ½Π°Ρ‚Π°Π»ΡŒΠ½Ρ‹Π΅ исходы, частота Ρ€ΠΎΠ΄ΠΎΠ²ΠΎΠ³ΠΎ Ρ‚Ρ€Π°Π²ΠΌΠ°Ρ‚ΠΈΠ·ΠΌΠ° снизилась Π² 1,5 Ρ€Π°Π·Π°. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. ΠŸΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Π΅ Ρ€ΠΎΠ΄Ρ‹ Ρƒ Π±Π΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… высокого ΠΏΠ΅Ρ€ΠΈΠ½Π°Ρ‚Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ риска слуТат Π°Π»ΡŒΡ‚Π΅Ρ€Π½Π°Ρ‚ΠΈΠ²ΠΎΠΉ ΠΎΠΏΠ΅Ρ€Π°Ρ‚ΠΈΠ²Π½ΠΎΠΌΡƒ Ρ€ΠΎΠ΄ΠΎΡ€Π°Π·Ρ€Π΅ΡˆΠ΅Π½ΠΈΡŽ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠΊ с Π“Π‘Π” ΠΈ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠΊ с Π“Π‘Π” Π² сочСтании с ПЭ

    Π‘ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€Ρ‹ для прогнозирования развития Π“Π‘Π”

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    Gestational diabetes mellitus (GDM) is a common complication in pregnancy, affecting 5% to 9% of pregnant women. Nowadays screening and diagnosis of GDM is a source of controversy. There is no consensus regarding an optimal and internationally acceptable test for both GDM diagnosis and screening. There is growing concern over the increasing incidence of GDM and its complications for mother and child along with its impact on society. A simple and accurate blood test that will help identify women at risk of developing GDM in the first trimester can reduce further costs and improve results through early prevention and treatment. Meta - analysis consists of studies of 5 major biomarkers thathave prognostically significant value for the diagnosis of GDM in early pregnancy. The authors sought to identify the most significant and reliable biomarker that can be used as a screening test for the diagnosis of GDM in the first trimester of pregnancy. Of the 5 biomarkers, adiponectin, GSPG, and glycated fibronectin can be independent predictors of GDM in the first trimester. These biomarkers have shown high specificity and sensitivity. The use of three biomarkers at the same time significantly increases the efficiency of forecasting GDM.ГСстационный сахарный Π΄ΠΈΠ°Π±Π΅Ρ‚ (Π“Π‘Π”) являСтся распространСнным ослоТнСниСм бСрСмСнности. На сСгодняшний дСнь скрининг ΠΈ диагностика Π“Π‘Π” являСтся источником споров. Π‘ΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‚ контравСрсии ΠΊΠ°ΠΊ ΠΏΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌ Ρ‚Π°ΠΊ ΠΈ ΠΏΠΎ срокам диагностики. Π’ связи с ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ΠΌ частоты распространСния Π“Π‘Π”, Π° Ρ‚Π°ΠΊΠΆΠ΅ связанных с Π½ΠΈΠΌ нСблагоприятных послСдствий ΠΊΠ°ΠΊ для ΠΌΠ°Ρ‚Π΅Ρ€ΠΈ, Ρ‚Π°ΠΊ ΠΈ для Ρ€Π΅Π±Π΅Π½ΠΊΠ°, остро Π²ΠΎΠ·Π½ΠΈΠΊΠ°Π΅Ρ‚ вопрос ΠΎ Ρ€Π°Π½Π½Π΅ΠΌ скринингС заболСвания. ΠŸΡ€ΠΎΡΡ‚ΠΎΠΉ ΠΈ Ρ‚ΠΎΡ‡Π½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΊΡ€ΠΎΠ²ΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ ΠΏΠΎΠΌΠΎΠΆΠ΅Ρ‚ ΠΈΠ΄Π΅Π½Ρ‚ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ с риском развития Π“Π‘Π” Π² ΠΏΠ΅Ρ€Π²ΠΎΠΌ тримСстрС Π±ΡƒΠ΄Π΅Ρ‚ ΠΈΠΌΠ΅Ρ‚ΡŒ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π» для сниТСния Π·Π°Ρ‚Ρ€Π°Ρ‚ ΠΈ ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΡ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² ΠΏΡƒΡ‚Π΅ΠΌ своСврСмСнной Ρ€Π°Π½Π½Π΅ΠΉ ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΠΈ ΠΈ лСчСния. ΠœΠ΅Ρ‚Π° - Π°Π½Π°Π»ΠΈΠ· состоит ΠΈΠ· исслСдований 5 основных Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ², ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΈΠΌΠ΅ΡŽΡ‚ прогностичСски Π΄ΠΎΡΡ‚ΠΎΠ²Π΅Ρ€Π½ΡƒΡŽ Ρ†Π΅Π½Π½ΠΎΡΡ‚ΡŒ для диагностики Π“Π‘Π” Π½Π° Ρ€Π°Π½Π½ΠΈΡ… сроках бСрСмСнности. Авторы ΡΡ‚Ρ€Π΅ΠΌΠΈΠ»ΠΈΡΡŒ Π²Ρ‹ΡΠ²ΠΈΡ‚ΡŒ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π·Π½Π°Ρ‡ΠΈΠΌΡ‹ΠΉ ΠΈ достовСрный Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ использован Π² качСствС скринингового тСста для диагностики Π“Π‘Π” Π² I тримСстрС бСрСмСнности.Из 5 Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ², нСзависимыми ΠΏΡ€Π΅Π΄ΠΈΠΊΡ‚ΠΎΡ€Π°ΠΌΠΈ Π“Π‘Π” Π² ΠΏΠ΅Ρ€Π²ΠΎΠΌ тримСстрС ΠΌΠΎΠ³ΡƒΡ‚ Π±Ρ‹Ρ‚ΡŒ Π°Π΄ΠΈΠΏΠΎΠ½Π΅ΠΊΡ‚ΠΈΠ½, Π“Π‘ΠŸΠ“ ΠΈ Π³Π»ΠΈΠΊΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹ΠΉ Ρ„ΠΈΠ±Ρ€ΠΎΠ½Π΅ΠΊΡ‚ΠΈΠ½. Π”Π°Π½Π½Ρ‹Π΅ Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€Ρ‹ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ Π²Ρ‹ΡΠΎΠΊΡƒΡŽ ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ ΠΈ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. ΠŸΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΎΠ΄Π½ΠΎΠ²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎ Ρ‚Ρ€ΠΎΠΈΡ… Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΏΠΎΠ²Ρ‹ΡˆΠ°Π΅Ρ‚ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ прогнозирования Π“Π‘Π”

    БиохимичСскиС тСсты для прогнозирования ΠΏΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Ρ… Ρ€ΠΎΠ΄ΠΎΠ²

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    Background. Preterm labor (PL) is the leading cause of perinatal morbidity and mortality in the world. Objective. Comparison of PL prediction accuracy using placental Ξ±-microglobulin-1 (PAMG-1) test and phosphorylated insulin-like growth factor-binding protein (PHIGFBP-1) test. Methods. A comparative, prospective observational study included 49 women with symptoms of threatened PL gestational age from 20/0 to 36/6 weeks, cervical length <30mm and a whole fetal bladder. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) for the PAMG-1 and FPSIF-1 test systems were determined, and the time of onset of labor for ≀7 days and ≀14 days based on the above parameters was estimated. Results. The PHIGFBP-1 test was positive in 10 (20.4%) women, the PAMG-1 test - in 4 (8.2%). PL occurred within 7 days in 5 (10.2%) women. The sensitivity of the PAMG-1 and PHIGFBP-1 tests was 60 and 60%, the specificity was 97.7 and 84.1% (p=0.031), the PPV was 75 and 30%, and the NPV was 95.6 and 94.9% respectively. Within 14 days, PL occurred in 7 (14.3%) women. Sensitivity - 57 and 57%, specificity - 100 and 85.7% (p=0.031), PPV - 100 and 40%, NPV - 93.3 and 92.3% for PAMG-1 and PHIGFBP-1, respectively. There was no PL In women with a cervical length of 25-29 mm. Conclusion. The PAMG-1 test is the best predictor of spontaneous PL for 7 and 14 days than the PHIGFBP-1 test. However, for the widespread introduction of PAMG-1 testing in clinical practice, larger studies are required.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. ΠŸΡ€Π΅ΠΆΠ΄Π΅Π²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Π΅ Ρ€ΠΎΠ΄Ρ‹ (ПР) - вСдущая ΠΏΡ€ΠΈΡ‡ΠΈΠ½Π° ΠΏΠ΅Ρ€ΠΈΠ½Π°Ρ‚Π°Π»ΡŒΠ½ΠΎΠΉ заболСваСмости ΠΈ смСртности Π² ΠΌΠΈΡ€Π΅. ЦСль исслСдования. Π‘Ρ€Π°Π²Π½Π΅Π½ΠΈΠ΅ точности прогнозирования ПР с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ тСстов, основанных Π½Π° ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ ΠΏΠ»Π°Ρ†Π΅Π½Ρ‚Π°Ρ€Π½ΠΎΠ³ΠΎ Π°-ΠΌΠΈΠΊΡ€ΠΎΠ³Π»ΠΎΠ±ΡƒΠ»ΠΈΠ½Π°-1 (ΠŸΠΠœΠ“-1) ΠΈ фосфорилированного ΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½Π°, ΡΠ²ΡΠ·Ρ‹Π²Π°ΡŽΡ‰Π΅Π³ΠΎ инсулиноподобный Ρ„Π°ΠΊΡ‚ΠΎΡ€ роста (ЀПБИЀР). ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ ΡΡ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ проспСктивноС Π½Π°Π±Π»ΡŽΠ΄Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ исслСдованиС вошли 49 ΠΆΠ΅Π½Ρ‰ΠΈΠ½ с симптомами ΡƒΠ³Ρ€ΠΎΠΆΠ°ΡŽΡ‰ΠΈΡ… ПР Π² сроки гСстации ΠΎΡ‚ 20/0 Π΄ΠΎ 36/6 нСдСль, Π΄Π»ΠΈΠ½ΠΎΠΉ шСйки ΠΌΠ°Ρ‚ΠΊΠΈ <30 ΠΌΠΌ ΠΈ Ρ†Π΅Π»Ρ‹ΠΌ ΠΏΠ»ΠΎΠ΄Π½Ρ‹ΠΌ ΠΏΡƒΠ·Ρ‹Ρ€Π΅ΠΌ. ΠžΠΏΡ€Π΅Π΄Π΅Π»ΡΠ»ΠΈΡΡŒ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ, ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ, ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ прогностичСскоС Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅, ΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ прогностичСскоС Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ для тСст-систСм Π½Π° ΠŸΠΠœΠ“-1 ΠΈ ЀПБИЀР-1 ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ° Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ наступлСния Ρ€ΠΎΠ΄ΠΎΠ² Π½Π° основании опрСдСлСния Π²Ρ‹ΡˆΠ΅ΠΏΠ΅Ρ€Π΅Ρ‡ΠΈΡΠ»Π΅Π½Π½Ρ‹Ρ… ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ <7 ΠΈ <14 Π΄Π½Π΅ΠΉ. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ВСст ЀПБИЀР Π±Ρ‹Π» ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΌ Ρƒ 10 (20,4%) ΠΆΠ΅Π½Ρ‰ΠΈΠ½, тСст ΠŸΠΠœΠ“-1 - Ρƒ 4 (8,2%). ПР ΠΏΡ€ΠΎΠΈΠ·ΠΎΡˆΠ»ΠΈ Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 7 суток Ρƒ 5 (10,2%) ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠΊ. Π§ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ тСстов ΠŸΠΠœΠ“-1 ΠΈ ЀПБИЀР составила 60 ΠΈ 60%, ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ - 97,7 ΠΈ 84,1% (Ρ€=0,031), ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ прогностичСскоС Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ - 75 ΠΈ 30% ΠΈ ΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ прогностичСскоС Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ - 95,6 ΠΈ 94,9% соотвСтствСнно. Π’ Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 14 суток ПР ΠΏΡ€ΠΎΠΈΠ·ΠΎΡˆΠ»ΠΈ Ρƒ 7 (14,3%) ΠΆΠ΅Π½Ρ‰ΠΈΠ½. Π§ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ - 57 ΠΈ 57%, ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ - 100 ΠΈ 85,7% (p=0,031), ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ прогностичСскоС Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ - 100 ΠΈ 40%, ΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ΅ прогностичСскоС Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ - 93,3 ΠΈ 92,3% для ΠŸΠΠœΠ“-1 ΠΈ ЀПБИЀР соотвСтствСнно. Π£ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ с Π΄Π»ΠΈΠ½ΠΎΠΉ шСйки ΠΌΠ°Ρ‚ΠΊΠΈ 25-29 ΠΌΠΌ ПР Π½Π΅ Π±Ρ‹Π»ΠΎ. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. ВСст ΠŸΠΠœΠ“-1 слуТит Π»ΡƒΡ‡ΡˆΠΈΠΌ ΠΏΡ€Π΅Π΄ΠΈΠΊΡ‚ΠΎΡ€ΠΎΠΌ ΡΠ°ΠΌΠΎΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ПР Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 7 ΠΈ 14 Π΄Π½Π΅ΠΉ, Ρ‡Π΅ΠΌ тСст ЀПБИЀР. Однако для ΡˆΠΈΡ€ΠΎΠΊΠΎΠ³ΠΎ внСдрСния тСстирования ΠŸΠΠœΠ“-1 Π² ΠΊΠ»ΠΈΠ½ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΡƒ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡ‹ Π±ΠΎΠ»Π΅Π΅ ΠΊΡ€ΡƒΠΏΠ½Ρ‹Π΅ исслСдования

    Programmable births in gestational diabetes mellitus: Minimizing risks - Improving maternal and perinatal outcomes [ΠŸΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Π΅ Ρ€ΠΎΠ΄Ρ‹ ΠΏΡ€ΠΈ гСстационном сахарном Π΄ΠΈΠ°Π±Π΅Ρ‚Π΅: минимизация рисков - ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΠ΅ матСринских ΠΈ ΠΏΠ΅Ρ€ΠΈΠ½Π°Ρ‚Π°Π»ΡŒΠ½Ρ‹Ρ… исходов]

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    Background. Modernity is characterized by an avalanche-like increase in the frequency of gestational diabetes mellitus (in 4-5 times over the past 20 years). The main tasks of the work in the risk strategy of gestational diabetes mellitus are: prediction of pregnancy complications and the searchingh for new technologies for their delivery. To date, there are still very controversial questions about the timing and methods of delivery of patients with gestational diabetes mellitus. Due to the high incidence of unfavourable perinatal outcomes in gestational diabetes mellitus, the percentage of cesarean sections in some countries reaches 60%, which leads to maternal morbidity and a decrease in the reproductive health of the population. Aims - is to improve of maternal and neonatal outcomes based of the rational choice of delivery technology in gestational diabetes mellitus. Methods. A retrospective analysis of delivery methods was performed in 9769 patients with gestational diabetes mellitus at full-term gestation. Results. The developed and implemented programmed delivery technique was an alternative to cesarean sections, it allowed to reduce the frequency of abdominal delivery, while improving maternal and neonatal outcomes. The frequency of cesarean sections in programmed delivery was 2 times lower than in the presented facilities and significantly lower than in the population (10.0-10.7%). In the programmed delivery group there was a significant reducing morbidity of hypoglycemia in newborns compared to planned caesarean section - by 2 times and respiratory distress syndrome - by 2.5 times (p < 0.05). The indices of cerebral status impairment, birth traumatism corresponded to physiological childbirth and did not exceed the average population. Conclusions. The method of programmed delivery presented in this paper was one of the reserves for reducing the frequency of cesarean sections and allowed to personalize delivery in respiratory distress syndrome. Β© 2021 Izdatel'stvo Meditsina. All rights reserved
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