7 research outputs found

    Врудности лСчСния ослоТнСний ΠΈ Ρ€Π΅Π°Π±ΠΈΠ»ΠΈΡ‚Π°Ρ†ΠΈΠΈ послС COVID-19. ΠšΠ»ΠΈΠ½ΠΈΡ‡Π΅ΡΠΊΠΈΠΉ случай

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    The severe course of the new coronavirus infection (COVID-19) is associated with multiple life-threatening complications that lead to delayed initiation of active rehabilitation and unfavorable long-term treatment outcomes. Tracheoesophageal fistula is one of these complications. The specific feature of this event in COVID-19 is delayed tissue regeneration which requires a non-standard approach to management of such patients.The article presents a clinical case of a pregnant patient after a complicated severe course of COVID-19 with the development of tracheoesophageal fistula, sepsis, and weakness syndrome acquired in ICU. The combination of complications of the disease led to a prolonged (about five months) period of rehabilitation.Modern standard components of intensive therapy of such patients including regular monitoring of endotracheal/tracheostomy tube cuff pressure, dynamic assessment of nutritional status and its correction, rational antimicrobial therapy, screening of psychiatric disorders and early rehabilitation, will minimize the number of both early and delayed complications of COVID-19.  ВяТСлоС Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ Π½ΠΎΠ²ΠΎΠΉ коронавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ (COVID-19) сопряТСно со мноТСством ΠΆΠΈΠ·Π½Π΅ΡƒΠ³Ρ€ΠΎΠΆΠ°ΡŽΡ‰ΠΈΡ… ослоТнСний, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ приводят ΠΊ отсрочкС Π½Π°Ρ‡Π°Π»Π° Π°ΠΊΡ‚ΠΈΠ²Π½Ρ‹Ρ… Ρ€Π΅Π°Π±ΠΈΠ»ΠΈΡ‚Π°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… мСроприятий ΠΈ ΡƒΡ…ΡƒΠ΄ΡˆΠ΅Π½ΠΈΡŽ долгосрочных Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² лСчСния. Одним ΠΈΠ· Ρ‚Π°ΠΊΠΈΡ… ослоТнСний являСтся Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Ρ‚Ρ€Π°Ρ…Π΅ΠΎΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π½ΠΎΠ³ΠΎ свища. ΠžΡΠΎΠ±Π΅Π½Π½ΠΎΡΡ‚ΡŒΡŽ этой ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΡ€ΠΈ COVID-19 являСтся замСдлСнная рСгСнСрация Ρ‚ΠΊΠ°Π½Π΅ΠΉ, Ρ‡Ρ‚ΠΎ Ρ‚Ρ€Π΅Π±ΡƒΠ΅Ρ‚ нСстандартного ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° ΠΊ Ρ‚Π°ΠΊΡ‚ΠΈΠΊΠ΅ вСдСния Ρ‚Π°ΠΊΠΈΡ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ².Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСн клиничСский случай лСчСния Π±Π΅Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΊΠΈ послС ослоТнСнного тяТСлого тСчСния COVID-19 с Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ΠΌ Ρ‚Ρ€Π°Ρ…Π΅ΠΎΠΏΠΈΡ‰Π΅Π²ΠΎΠ΄Π½ΠΎΠ³ΠΎ свища, сСпсиса, синдрома ΠΏΡ€ΠΈΠΎΠ±Ρ€Π΅Ρ‚Π΅Π½Π½ΠΎΠΉ Π² ΠΎΡ‚Π΄Π΅Π»Π΅Π½ΠΈΠΈ Ρ€Π΅Π°Π½ΠΈΠΌΠ°Ρ†ΠΈΠΈ ΠΈ интСнсивной Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ слабости. ΠšΠΎΠΌΠ±ΠΈΠ½Π°Ρ†ΠΈΡ ослоТнСний заболСвания ΠΏΡ€ΠΈΠ²Π΅Π»Π° ΠΊ затяТному (ΠΎΠΊΠΎΠ»ΠΎ 5 мСс.) ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Ρƒ Ρ€Π΅Π°Π±ΠΈΠ»ΠΈΡ‚Π°Ρ†ΠΈΠΈ.Π‘ΠΎΠ²Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹Π΅ стандартныС ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Ρ‹ интСнсивной Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Ρ‚Π°ΠΊΠΈΡ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Π²ΠΊΠ»ΡŽΡ‡Π°Ρ рСгулярный ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒ давлСния Π² ΠΌΠ°Π½ΠΆΠ΅Ρ‚Π΅ ΡΠ½Π΄ΠΎΡ‚Ρ€Π°Ρ…Π΅Π°Π»ΡŒΠ½Ρ‹Ρ…/трахСостомичСских Ρ‚Ρ€ΡƒΠ±ΠΎΠΊ, Π΄ΠΈΠ½Π°ΠΌΠΈΡ‡Π΅ΡΠΊΡƒΡŽ ΠΎΡ†Π΅Π½ΠΊΡƒ Π½ΡƒΡ‚Ρ€ΠΈΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ статуса ΠΈ Π΅Π³ΠΎ ΠΊΠΎΡ€Ρ€Π΅ΠΊΡ†ΠΈΡŽ, Ρ€Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΡƒΡŽ Π°Π½Ρ‚ΠΈΠΌΠΈΠΊΡ€ΠΎΠ±Π½ΡƒΡŽ Ρ‚Π΅Ρ€Π°ΠΏΠΈΡŽ, скрининг психичСских Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΠΉ ΠΈ Ρ€Π°Π½Π½ΡŽΡŽ Ρ€Π΅Π°Π±ΠΈΠ»ΠΈΡ‚Π°Ρ†ΠΈΡŽ, позволят ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ число ΠΊΠ°ΠΊ Ρ€Π°Π½Π½ΠΈΡ…, Ρ‚Π°ΠΊ ΠΈ отсрочСнных ослоТнСний COVID-19

    Genetic risk factors for vascular aging: molecular mechanisms, polymorphism of candidate genes and gene networks

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    Age is considered an independent and primary risk factor in the development of cardiovascular disease. Aging of vascular cells induces complex changes in the structure and functions of the vasculature. The article discusses a number of molecular genetic mechanisms involved in the pathogenesis of vascular aging: cell and mitochondrial dysfunction, endothelial dysfunction, depletion of the progenitor cell pool, shortening and damage to telomeres, chronic inflammation, oxidative stress, and dysregulation of vascular tone. There is more and more evidence of cross-involvement in the vascular aging processes of candidate genes (such as ACE, SIRT1, TERC, FOXO1, FOXO3, APOE, NOS3) associated with life expectancy and cardiovascular diseases. For 26 genes involved in the presented molecular mechanisms of vascular aging, sites of functional polymorphisms are given. Understanding the main pathophysiological changes caused by vascular aging makes it possible to choose a preventive strategy. Modern approaches for better predicting of genetic risk are discussed in conclusion using the example of visualization of vascular aging genes network
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