4 research outputs found
Characteristics of the inflammatory response and markers of endothelial dysfunction in patients with hemodynamically insignificant coronary stenosis at baseline stable and unstable angina
Were examined 48 patients (male and temale) aged 60,1 Β± 10,7 years with coronary heart disease (CHD). According to selective coronary angiography, isolated group of patients with hemodynamically insignificant coronary stenosis. In groups (stable and unstable angina) equally showed signs of dyslipidemia moderate activation of systemic inflammatory response (increase in the level of TNF -a) and endothelial dysfunction (overproduction of endothelin -1). In the group of patients with unstable angina showed a tendency to increased hs-CRP, homocysteine and a significant increase in MMP- 9, which reflects the pathogenetic mechanisms of instability of atherosclerotic plaques.ΠΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΎ 48 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² (ΠΌΡΠΆΡΠΊΠΎΠ³ΠΎ ΠΈ ΠΆΠ΅Π½ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ»Π°) Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ 60,1+10,7 Π»Π΅Ρ Ρ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΡΡ ΡΠ΅ΡΠ΄ΡΠ° (ΠΠΠ‘). Π‘ΠΎΠ³Π»Π°ΡΠ½ΠΎ Π΄Π°Π½Π½ΡΠΌ ΡΠ΅Π»Π΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠΉ Π°Π½Π³ΠΈΠΎΠ³ΡΠ°ΡΠΈΠΈ, Π²ΡΠ΄Π΅Π»Π΅Π½Π° Π³ΡΡΠΏΠΏΠ° ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈ Π½Π΅Π·Π½Π°ΡΠΈΠΌΡΠΌ ΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΡΠΌ ΡΡΠ΅Π½ΠΎΠ·ΠΎΠΌ. Π£ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π²Π½Π΅ ΡΠ²ΡΠ·ΠΈ Ρ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΠΠ‘ (ΡΡΠ°Π±ΠΈΠ»ΡΠ½Π°Ρ ΠΈ Π½Π΅ΡΡΠ°Π±ΠΈΠ»ΡΠ½Π°Ρ ΡΡΠ΅Π½ΠΎΠΊΠ°ΡΠ΄ΠΈΡ) Π²ΡΡΠ²Π»Π΅Π½Ρ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ ΡΠΌΠ΅ΡΠ΅Π½Π½ΠΎΠΉ Π΄ΠΈΡΠ»ΠΈΠΏΠΈΠ΄Π΅ΠΌΠΈΠΈ, Π°ΠΊΡΠΈΠ²Π°ΡΠΈΠΈ ΡΠΈΡΡΠ΅ΠΌΠ½ΠΎΠ³ΠΎ Π²ΠΎΡΠΏΠ°Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΡΠ²Π΅ΡΠ°, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ²ΡΡΠ΅Π½Π½ΡΠΌ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ΠΌ Π€ΠΠ-Π° ΠΈ Π΄ΠΈΡΡΡΠ½ΠΊΡΠΈΠΈ ΡΠ½Π΄ΠΎΡΠ΅Π»ΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π² Π²ΠΈΠ΄Π΅ Π³ΠΈΠΏΠ΅ΡΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ ΠΏΠ»Π°Π·ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠ½Π΄ΠΎΡΠ΅Π»ΠΈΠ½Π°-1. Π Π³ΡΡΠΏΠΏΠ΅ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π½Π΅ΡΡΠ°Π±ΠΈΠ»ΡΠ½ΠΎΠΉ ΡΡΠ΅Π½ΠΎΠΊΠ°ΡΠ΄ΠΈΠ΅ΠΉ ΠΎΡΠΌΠ΅ΡΠ΅Π½Π° ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ ΠΊ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ hs-CRP, Π³ΠΎΠΌΠΎΡΠΈΡΡΠ΅ΠΈΠ½Π° ΠΈ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎΠ΅ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΠΠΠ -9, ΡΡΠΎ, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡ ΠΏΠΎΠ²ΡΡΠ΅Π½Π½ΡΠΉ ΡΡΠΎΠ²Π΅Π½Ρ Π²ΠΎΡΠΏΠ°Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΡΠ²Π΅ΡΠ°, ΠΎΡΡΠ°ΠΆΠ°Π΅Ρ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΡ ΠΏΡΠΎΠ²ΠΎΠΊΠ°ΡΠΈΠΈ Π½Π΅ΡΡΠ°Π±ΠΈΠ»ΡΠ½ΠΎΡΡΠΈ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈ Π½Π΅Π·Π½Π°ΡΠΈΠΌΠΎΠΉ Π°ΡΠ΅ΡΠΎΡΠΊΠ»Π΅ΡΠΎΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π»ΡΡΠΊΠΈ
CONTRAST ECHOCARDIOGRAPHY WITH ASSESSMENT OF MYOCARDIAL PERFUSION IN DIAGNOSIS OF NO-REFLOW PHENOMENON IN PATIENT WITH ACUTE MYOCARDIAL INFARCTION
Timely performed endovascular revascularization is the main modern method of treating for patients with acute myocardial infarction and elevated ST segment. In most cases, it is possible to achieve rapid recovery of coronary blood flow in the infarct related artery. Nevertheless, 10β40 % of patients manifest diminished myocardial reperfusion despite successful opening of the obstructed epicardial artery β so called the no-reflow phenomenon. The main angiographic features of hypoperfusion in the infarction zone are decrease in the degree of myocardial glow and/or blood flow by the TIMI scale. However, the use of angiographic criteria does not always allow accurate detection of developing no-reflow phenomenon. The presented case demonstrates the possibilities and potential benefits of contrast enhanced echocardiography in assessing the no-reflow phenomenon in a patient with acute myocardial infarction after revascularization
Scientific data analysis in medical information system (case study of determining the factors affecting the level of c-reactive protein using neural networks)
Π ΡΡΠ°ΡΡΠ΅ ΠΎΠΏΠΈΡΠ°Π½Ρ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΠΈΡΡΠ΅ΠΌΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ° Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΏΡΠΈΠΌΠ΅ΡΠ° ΠΎΠΏΠΈΡΠ°Π½Π° ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡ ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ°, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠ°Ρ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΠ΅ Π½Π°ΡΡΠ½ΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ, ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠΌΡΠ΅ Π΄Π»Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ², Π²Π»ΠΈΡΡΡΠΈΡ
Π½Π° ΡΡΠΎΠ²Π΅Π½Ρ ΠΌΠ°ΡΠΊΠ΅ΡΠ° Π²ΠΎΡΠΏΠ°Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΠ΅Π°ΠΊΡΠΈΠΈ β C-ΡΠ΅Π°ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π±Π΅Π»ΠΊΠ° Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±ΠΎΠ»Π΅Π·Π½ΡΡ ΡΠ΅ΡΠ΄ΡΠ°. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΡΡΠ΅Π΄ΡΡΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΡΡΡ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½Π°Ρ Π½Π΅ΠΉΡΠΎΠ½Π½Π°Ρ ΡΠ΅ΡΡ, ΡΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΎΡΠ΅Π½ΠΈΡΡ ΡΠΈΡΡΠ°ΡΠΈΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π°Π½Π°Π»ΠΈΠ·Π° Π±ΠΎΠ»ΡΡΠΎΠ³ΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΈ ΠΈΡ
Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Π΅ΠΉ. Π’Π΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡ ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΡΠ΅Π°Π»ΠΈΠ·ΡΡΡΡΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄ΡΠ»Ρ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π’ΡΠΌΠ΅Π½ΡΠΊΠΎΠ³ΠΎ ΠΊΠ°ΡΠ΄ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ΅Π½ΡΡΠ°.This article describes the approaches that admit usage of medical information systems as a tool for clinical and biological researches. The technology that allows to automate medical research conducted to determine the factors affecting the level of a marker of the inflammatory response (C-reactive protein) in patients with coronary heart disease is described as an example. Artificial neural network which allows to assess the situation on the basis of analysis of a large number of indicators and their relationships is used as the tool. Technology and methodology are implemented as a software module of the medical information system of Tyumen Cardiology Center, Affiliate of Research Institute for Cardiology of Siberian Branch of the Russian Academy of Medical Sciences