Hyper-Coagulable Profile with Elevated Pro-Thrombotic Biomarkers and Increased Cerebro- and Cardio-Vascular Disease Risk Exist Among Healthy Dyslipidemic Women

2014 ◽  
Vol 11 (2) ◽  
pp. 142-148 ◽  
Author(s):  
Claudia Ferreira ◽  
Maria Carvalho ◽  
Helton Reis ◽  
Karina Gomes ◽  
Marinez Sousa ◽  
...  
Keyword(s):  
Vascular Disease ◽  
Disease Risk ◽  
Cardio Vascular Disease ◽  
Cardio Vascular

scholarly journals A study of atherogenic index of plasma in myocardial infarction patients admitted in Silchar medical college, Assam, India

2021 ◽  
Vol 9 (7) ◽  
pp. 1898
Author(s):  
Biswadeep Choudhury ◽  
Manidip Chakraborty ◽  
Nabiha Mayanaz Karim
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Diseases ◽  
Lipid Profile ◽  
Vascular Disease ◽  
Disease Risk ◽  
Density Lipoprotein ◽  
Atherogenic Index ◽  
Atherogenic Index Of Plasma ◽  
Cardio Vascular Disease ◽  
Cardio Vascular

Background:It is an established fact that dyslipidemia is one of the major risk factors for cardiovascular diseases like myocardial infarction. Major well-known alterations in lipid profile include high serum cholesterol, low density lipoprotein cholesterol (LDL-C), triglyceride and low high density lipoprotein cholesterol (HDL-C). Recently, it has been found that atherogenic index of plasma (AIP); which is a logarithmically transformed ratio of triglyceride and HDL-C; can predict cardio-vascular disease risk and can also be used for cardio-vascular disease risk stratification. In this study we have calculated the AIP from fasting lipid profile of patients suffering from myocardial infarction and tried to assess the correlation between AIP and myocardial infarction.Methods: The study comprised of fifty patients suffering from myocardial infarction aged more than 18 with no prior history of cardiovascular diseases. We measured fasting lipid profile using Vitros 5600 full auto analyzer and calculated AIP using online AIP calculator. Statistical analysis was done using “Microsoft excel 2019” with add on. A significant percentage (66%) of myocardial infarction patients had higher AIP (>0.21) and fell in the high-risk group. We also got a significant relationship between AIP-triglyceride and AIP-HDL-C (p<0.05 considered as statistically significant).Conclusions: AIP is high in myocardial infarction patients. In this group, besides high AIP, they also have low HDL-C and high triglycerides which are significant. So, AIP can be used as a tool for cardio-vascular disease risk stratification.

scholarly journals Diagnostic of cardio-vascular disease with help of largest Lyapunov exponent of RR-sequences

2000 ◽  
Vol 11 (5) ◽  
pp. 807-814 ◽  
Author(s):  
Alexey N Pavlov ◽  
Natalia B Janson ◽  
Vadim S Anishchenko ◽  
Vladimir I Gridnev ◽  
Pavel Ya Dovgalevsky
Keyword(s):  
Lyapunov Exponent ◽  
Vascular Disease ◽  
Largest Lyapunov Exponent ◽  
Cardio Vascular Disease ◽  
Cardio Vascular
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