Gender-related Differences in Risk factors and Treatment Strategies in Patients with Acute Coronary Syndrome across Egypt: part of the Cardio- Risk Project

2018 ◽  
Vol 33 ◽  
pp. e2
Author(s):  
Ashraf Reda ◽  
Mohamed Ashraf ◽  
Mahmoud Soliman ◽  
Hany Ragy ◽  
Ahmed Elkersh ◽  
...  
2021 ◽  
Vol 10 (19) ◽  
pp. 4574
Author(s):  
Dávid Bauer ◽  
Petr Toušek

Defining the risk factors affecting the prognosis of patients with acute coronary syndrome (ACS) has been a challenge. Many individual biomarkers and risk scores that predict outcomes during different periods following ACS have been proposed. This review evaluates known outcome predictors supported by clinical data in light of the development of new treatment strategies for ACS patients during the last three decades.


2019 ◽  
Vol 72 (11) ◽  
Author(s):  
Yulian H. Kyyak ◽  
Olga Yu. Barnett ◽  
Marta P. Halkevych ◽  
Olha Ye. Labinska ◽  
Hryhoriy Yu. Kyyak ◽  
...  

2019 ◽  
Vol 72 (11) ◽  
Author(s):  
Yulian H. Kyyak ◽  
Olga Yu. Barnett ◽  
Marta P. Halkevych ◽  
Olha Ye. Labinska ◽  
Hryhoriy Yu. Kyyak ◽  
...  

2020 ◽  
Vol 72 ◽  
pp. S5
Author(s):  
Shahood Ajaz Kakroo ◽  
Kala Jeethender Kumar ◽  
O. Sai Satish ◽  
M. Jyotsna ◽  
B. Srinivas ◽  
...  

2020 ◽  
Vol 72 ◽  
pp. S6-S7
Author(s):  
Bodhisattya Roy Chaudhuri ◽  
Ram Pratap Saini ◽  
Sandeep Bansal

2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110083
Author(s):  
Lei Zhang ◽  
Juledezi Hailati ◽  
Xiaoyun Ma ◽  
Jiangping Liu ◽  
Zhiqiang Liu ◽  
...  

Aims To investigate the different risk factors among different subtypes of patients with acute coronary syndrome (ACS). Methods A total of 296 patients who had ACS were retrospectively enrolled. Blood and echocardiographic indices were assessed within 24 hours after admission. Differences in risk factors and Gensini scores of coronary lesions among three groups were analyzed. Results Univariate analysis of risk factors for ACS subtypes showed that age, and levels of fasting plasma glucose, amino-terminal pro-brain natriuretic peptide, and creatine kinase isoenzyme were significantly higher in patients with non-ST-segment elevation myocardial infarction (NSTEMI) than in those with unstable angina pectoris (UAP). Logistic multivariate regression analysis showed that amino-terminal pro-brain natriuretic peptide and the left ventricular ejection fraction (LVEF) were related to ACS subtypes. The left ventricular end-diastolic diameter was an independent risk factor for UAP and ST-segment elevation myocardial infarction (STEMI) subtypes. The severity of coronary stenosis was significantly higher in NSTEMI and STEMI than in UAP. Gensini scores in the STEMI group were positively correlated with D-dimer levels (r = 0.429) and negatively correlated with the LVEF (r = −0.602). Conclusion Different subtypes of ACS have different risk factors. Our findings may have important guiding significance for ACS subtype risk assessment and clinical treatment.


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