Risk factors relating to the early complications of acute myocardial infarction after cardios-intervention treatment
DOI:
https://doi.org/10.34287/MMT.2(45).2020.16Abstract
Purpose of the study. Identify the main risk factors for early complications of acute myocardial infarction after cardiac intervention and assess the prognostic risk.
Materials and methods. To collect the statistical material to determine risk factors, the method of copying medical history data was used, and then the odds ratio was calculated. In doing so, we calculated odds ratios (OR) and 95% confidence interval (CI). Subsequently, the risk of early complications of acute myocardial infarction (AMI) in cardiointerventional intervention by Cox regression was predicted, which took into account the time of patient transportation by EMD team. The object of observation was to identify a patient with AMI who was delivered to a tertiary level of care.
Results. In determining the consequences of cardiovascular intervention, such complications as aneurysm, arrhythmia, decreased ejection fraction, cardiogenic shock, and pulmonary oedema were considered. Most patients experienced improvement in health status – 60,7%, single complication was 18,9%, combined complications – 15,2%, patient death – 4,1%.
Conclusions. By Cox regression analysis, it was proved that the cumulative risk of early GIM complications with cardiovascular intervention increased with 10 minutes of arrival of EMS with established ECG diagnosis (STEMI), which increased the risk of complications 1,9 times p (0,00) p (0,00) p (0,00); the presence of diabetes – 4,259 times, exp (β) 4,259 (p = 0,001); smoking – 2,988 times, exp (β) 2,988 (p = 0,001); increased BMI in the patient – 2 times, exp (β) 2,066 (p = 0,002).
References
Bechthold A, Boeing H, Schwedhelm C et al. Food groups and risk of coronary heart disease, stroke and heart failure: A systematic review and dose-response meta-analysis of prospective studies. Critical Reviews in Food Science and Nutrition. 2019; 59(7): 1071-1090. DOI:10.1080/ 10408398.2017.1392288.
Zhdan VM; Holovanova IA; Filatova VL et al Medical evaluation of efficiency of optimized models for early detection and primary prevention of cardiovascular diseases. Wiad. Lek. 2017; 70 Pt 1: 433–438.
Brunetti ND, Di Pietro G, Aquilino A et al. Pre-hospital electrocardiogram triage with telecardiology support is associated with shorter timeto-balloon and higher rates of timely reperfusion even in rural areas: data from the Bari-Barletta/ Andria/Trani public emergency medical service 118 registry on primary angioplasty in STelevation myocardial infarction. European Heart Journal: Acute Cardiovascular Care. 2014; 3 (3): 204–213. DOI: 10.1177/2048872614527009.
Knoery CR, Heaton, J, Polson R et al. Systematic review of clinical decision support systems for pre-hospital acute coronary syndrome identification. Critical Pathways in Cardiology: 2020 Mar 11. DOI: 10.1097/ HPC.0000000000000217.
Pil-Sang Song, Myung Ho Jeong. Incidence, Predictors, and Implications of Re-Hospitalization for Heart Failure after Acute Myocardial Infarction. Journal of Cardiac Failure. August 2019; Volume 25, Issue 8, Supplement, Page S151. https://doi.org/10.1016/j.cardfail.2019.07.435.
Saleh A, El-Amin A, El-Baz M et al. Assessment of Myocardial Viability After Acute STElevated Myocardial Infarction Using Stress Speckle Tracking Echocardiography and Cardiac MRI. The Egyptian Journal of Hospital Medicine. 2019; 77 (3): 5173–5182. DOI: 10.12816/ejhm.2019.53303.
Zhdan VM, Dvornyk VM, Bielikova IV et al. Epidemiology of diseases of the circulatory system among the population of Poltava region. Wiadomosci Lekarskie. 2019; LXXII, 12 (I): 2366–2370. DOI: 10.36740/WLek201912118.
Forte E, Punzo B, Gentile Fet al. Normal patterns of left ventricle rest myocardial perfusion assessed by third-generation cardiac computed tomography. Clin Physiol Funct Imaging. 2020: 40: 30–36. DOI:10.1111/cpf.12598.
Xing Y, Rao N, Miao m et al. Task-State Heart Rate Variability Parameter-Based Depression Detection Model and Effect of Therapy on the Parameters. IEEE Access. 2019; 7: 105701–105709; https://ieeexplore.ieee. org/abstract/document/8784161.
Mostafa M, Attia W, Taha Met al. Assessment of Left Atrial Function in Patients with Non-ST-Segment Elevation Myocardial Infarction Using Two-Dimensional Speckle Tracking Echocardiography. The Egyptian Journal of Hospital Medicine. 2018; 73 (4): 6562–6570. DOI: 10.12816/ejhm.2018.15418.
Khorosh MV, Harkavenko MO, Holovanova IA. Risk factors for development of hypertension in Poltava region. Wiadomosci Lwkarskie. 2016; LXIX, № 2, cz. II. p.190–197.
