A Randomized Trial for the Secondary Prevention by Azithromycin in Korean Patients with Acute Coronary Syndrome after Percutaneous Coronary Intervention

2004 ◽  
Vol 34 (8) ◽  
pp. 743 ◽  
Author(s):  
Weon Kim ◽  
Myung Ho Jeong ◽  
Young Joon Hong ◽  
Sang Hyun Lee ◽  
Sang Yup Lim ◽  
...  
2015 ◽  
Vol 49 (0) ◽  
Author(s):  
Mari Ângela Gaedke ◽  
Juvenal Soares Dias da Costa ◽  
Euler Roberto Fernandes Manenti ◽  
Ruth Liane Henn ◽  
Vera Maria Vieira Paniz ◽  
...  

ABSTRACT OBJECTIVE : To analyze if the demographic and socioeconomic variables, as well as percutaneous coronary intervention are associated with the use of medicines for secondary prevention of acute coronary syndrome. METHODS : In this cohort study, we included 138 patients with acute coronary syndrome, aged 30 years or more and of both sexes. The data were collected at the time of hospital discharge, and after six and twelve months. The outcome of the study was the simultaneous use of medicines recommended for secondary prevention of acute coronary syndrome: platelet antiaggregant, beta-blockers, statins and angiotensin-converting-enzyme inhibitor or angiotensin receptor blocker. The independent variables were: sex, age, education in years of attending, monthly income in tertiles and percutaneous coronary intervention. We described the prevalence of use of each group of medicines with their 95% confidence intervals, as well as the simultaneous use of the four medicines, in all analyzed periods. In the crude analysis, we verified the outcome with the independent variables for each period through the Chi-square test. The adjusted analysis was carried out using Poisson Regression. RESULTS : More than a third of patients (36.2%; 95%CI 28.2;44.3) had the four medicines prescribed at the same time, at the moment of discharge. We did not observe any differences in the prevalence of use in comparison with the two follow-up periods. The most prescribed class of medicines during discharge was platelet antiaggregant (91.3%). In the crude analysis, the demographic and socioeconomic variables were not associated to the outcome in any of the three periods. CONCLUSIONS : The prevalence of simultaneous use of medicines at discharge and in the follow-ups pointed to the under-utilization of this therapy in clinical practice. Intervention strategies are needed to improve the quality of care given to patients that extend beyond the hospital discharge, a critical point of transition in care.


Kardiologiia ◽  
2019 ◽  
Vol 59 (11) ◽  
pp. 5-13
Author(s):  
E. S. Korotaeva ◽  
L. Y. Koroleva ◽  
V. P. Nosov ◽  
G. V. Kovaleva ◽  
E. A. Kuzmenko

Aim: to identify predictors of stent thrombosis in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI) for 12 months by creating a miathematical logistic regression model to optimize rehabilitation, secondary prevention of ischemic events in the first year after ACS, as well as a personalized approach to treatment. Materials and methods. The analysis used data from the hospital register, which contained information on all PCIs, performed in the Semashko hospital between September 2016 and August 2018 (2378 patients). For this study we selected a sample of 183 ACS patients (146 men and 37 women) after PCI: 25 with definite stent thrombosis confirmed by repeated coronary angiography (CAG) (the main study group), and 158 without developing definite stent thrombosis (the comparison group) according to the observation for 12 months. All patients during hospitalization and 1 year after discharge received standard medical therapy ACS, according to international recommendations. Laboratory tests, electrocardiography (ECG), echocardiography, 24-hour ECG monitoring were performed for in patients. For determining predictors of the development of stent thrombosis we performed a logistic regression analysis. Results. A mathematical model of multifactorial prognostication of stent thrombosis in patients with ACS after PCI was created. The model included the following predictors: Killip class >II; life-threatening paroxysmal tachyarrhythmias (atrial fibrillation and/or ventricular fibrillation) as ACS complication of; left ventricular ejection fraction ≤45%; CA dissection; CAG confirmed CA thrombosis before PCI. Conclusion. The proposed model in patients with ACS allows us to estimate the risk of stent thrombosis after PCI, as well as to improve the accuracy of the event prediction. The model is easy to use, can be applied by practicing cardiologists during hospitalization. This model allows us to personalize secondary prevention in the first year after ACS, and thus help to reduce cardiovascular mortality, incidence of recurrent myocardial infarctions, unstable angina, and emergency revascularization.


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