6 research outputs found

    Π‘ΠžΠ”Π•Π Π–ΠΠΠ˜Π• Π›Π˜ΠŸΠ˜Π”ΠžΠ’, ΠΠ”Π˜ΠŸΠžΠšΠ˜ΠΠžΠ’ И Π“Π Π•Π›Π˜ΠΠ ПРИ Π ΠΠ—Π’Π˜Π’Π˜Π˜ Π˜ΠΠ‘Π£Π›Π˜ΠΠžΠ Π•Π—Π˜Π‘Π’Π•ΠΠ’ΠΠžΠ‘Π’Π˜ Π£ ΠŸΠΠ¦Π˜Π•ΠΠ’ΠžΠ’ Π‘ ИНЀАРКВОМ ΠœΠ˜ΠžΠšΠΠ Π”Π

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    Aim. The estimate insulin resistance in myocardial infarction. Patients and methods. The study involved 200 patients with myocardial infarction, in which on the 1st and 12th day of hospitalization measured glucose, insulin, insulin resistance index (IR), lipid profile, the concentration of adipokines and ghrelin. Results. IR was detected in 77% of patients and was associated with a history of factors of cardiovascular risk, adverse clinical course of the disease, lipid disorders. The most important marker was the level of free fatty acids. High risk associated with increased in 9 times the concentration of free fatty acids in blood plasma. Patients with IR observed increased concentrations of leptin, resistin, and reduced the protective effect of adiponectin. The high specificity and sensitivity characteristic of the concentration of ghrelin: its reduction by 4 times in the acute phase of myocardial infarction increases the risk of MI by 78%. Conclusions. Significant risk factors for MI myocardial infarction, along with insulinemia and glycemia, is to increase the concentration of free fatty acids and the disbalance in the system adipokines against deficiency of ghrelin in acute and early recovery periods of the disease. Free fatty acids and ghrelin are promising markers to stratify the risk of insulin resistance in patients with myocardial infarction. ЦСль исслСдования: ΠΎΡ†Π΅Π½ΠΊΠ° инсулинорСзистСнтности ΠΏΡ€ΠΈ ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Π΅ ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π°. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹: Β Π² исслСдованиС Π²ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΎ 200 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚ΠΎΠΌ ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π°,Β Β Ρƒ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Π½Π° 1-Π΅ ΠΈ 12-Π΅ сут госпитализации опрСдСляли содСрТаниС Π³Π»ΡŽΠΊΠΎΠ·Ρ‹, инсулина, индСкс инсулинорСзистСнтности (ИР), ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Π»ΠΈΠΏΠΈΠ΄Π½ΠΎΠ³ΠΎ профиля, ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΡŽ Π°Π΄ΠΈΠΏΠΎΠΊΠΈΠ½ΠΎΠ² ΠΈ Π³Ρ€Π΅Π»ΠΈΠ½Π°. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹: ИР Π±Ρ‹Π»Π° выявлСна Ρƒ 77% Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΠΈ Π°ΡΡΠΎΡ†ΠΈΠΈΡ€ΠΎΠ²Π°Π»Π°ΡΡŒ с Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ΠΌ Π² Π°Π½Π°ΠΌΠ½Π΅Π·Π΅ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² сСрдСчно-сосудистого риска, нСблагоприятным клиничСским Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ΠΌ заболСвания, Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΠ΅ΠΌ Π»ΠΈΠΏΠΈΠ΄Π½ΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π°. НаиболСС ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½Ρ‹ΠΌ ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠΌ оказался ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ свободных ΠΆΠΈΡ€Π½Ρ‹Ρ… кислот. Высокий риск развития ИР связан с возрастаниСм  Π² 9 Ρ€Π°Π· ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ свободных ΠΆΠΈΡ€Π½Ρ‹Ρ… кислот Π² ΠΏΠ»Π°Π·ΠΌΠ΅ ΠΊΡ€ΠΎΠ²ΠΈ. Π£ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с ИР Π½Π°Π±Π»ΡŽΠ΄Π°Π΅Ρ‚ΡΡ ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ Π»Π΅ΠΏΡ‚ΠΈΠ½Π°, рСзистина, ΠΈ сниТСниС Π·Π°Ρ‰ΠΈΡ‚Π½ΠΎΠ³ΠΎ дСйствия Π°Π΄ΠΈΠΏΠΎΠ½Π΅ΠΊΡ‚ΠΈΠ½Π°. Высокая ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ ΠΈ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π½Π° для ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ Π³Ρ€Π΅Π»ΠΈΠ½Π°: Π΅Π΅ сниТСниС Π² 4 Ρ€Π°Π·Π° Π² остром ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Π° ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π° ΠΏΠΎΠ²Ρ‹ΡˆΠ°Π΅Ρ‚ риск развития ИР Π½Π° 78%.Π’Ρ‹Π²ΠΎΠ΄Ρ‹: Π·Π½Π°Ρ‡ΠΈΠΌΡ‹ΠΌΠΈ Ρ„Π°ΠΊΡ‚ΠΎΡ€Π°ΠΌΠΈ риска ИР ΠΏΡ€ΠΈ ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Π΅ ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π°, наряду с инсулинСмиСй ΠΈ Π³Π»ΠΈΠΊΠ΅ΠΌΠΈΠ΅ΠΉ, являСтся ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅Β  ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ  свободных ΠΆΠΈΡ€Π½Ρ‹Ρ… кислот ΠΈ дисбаланс Π² систСмС Π°Π΄ΠΈΠΏΠΎΠΊΠΈΠ½ΠΎΠ²Β Β Π½Π° Ρ„ΠΎΠ½Π΅ Π΄Π΅Ρ„ΠΈΡ†ΠΈΡ‚Π° Π³Ρ€Π΅Π»ΠΈΠ½Π° Π² остром ΠΈ Ρ€Π°Π½Π½Π΅ΠΌ Π²ΠΎΡΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΌ ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π°Ρ… заболСвания. Π‘Π²ΠΎΠ±ΠΎΠ΄Π½Ρ‹Π΅ ΠΆΠΈΡ€Π½Ρ‹Π΅ кислоты ΠΈ Π³Ρ€Π΅Π»ΠΈΠ½ ΡΠ²Π»ΡΡŽΡ‚ΡΡ пСрспСктивными ΠΌΠ°Ρ€ΠΊΠ΅Ρ€Π°ΠΌΠΈ для стратификации риска развития инсулинорСзистСнтности Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚ΠΎΠΌΒ Β ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π°.

    Eating behavior patterns in overweight and obese males

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    Disorders of eating behavior (EB) are now considered one of the possible overweight causes. Objective. To evaluate EB patterns in deemed healthy overweight and obese males. Material and methods. The study included 170 deemed healthy males aged 26 to 69 years (mean age 43.8Β±8.5 years), who were divided into three groups according to body mass index (BMI): normal body weight β€” 38 (22.4%) patients, overweight β€” 83 (48.8%) patients; obesity class Iβ€”II β€” 49 (28.8%) patients. All patients were assessed for anthropometric measures. The Dutch questionnaire (DEBQ) was used to assess EB patterns. Autonomic status was assessed using the autonomic dysfunction scale. Results. EB changes were observed in 89.2 and 84.3% of males with normal body weight and overweight, respectively, and in 89.8% of patients with obesity class Iβ€”II. In males with normal body weight, the restrictive type of EB prevailed, in overweight and obesity class Iβ€”II the external and emotiogenic types prevailed. Conclusions. It is necessary to assess EB types and adjust them properly to prevent overweight and obesity promptly. In overweight and obese individuals, EB assessment can help select more effective therapy. Β© 2022, Media Sphera Publishing Group. All rights reserved

    The Predictive Role for ST2 in Patients with Acute Coronary Syndromes and Heart Failure

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