scholarly journals Risk factor reduction in progression of angiographic coronary artery disease

2012 ◽  
Vol 3 ◽  
pp. 444-448 ◽  
Author(s):  
Hoang M. Lai ◽  
Wilbert S. Aronow ◽  
Anthony D. Mercando ◽  
Phoenix Kalen ◽  
Harit V. Desai ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Risk Factor ◽  
Coronary Artery ◽  
Risk Factor Reduction ◽  
Artery Disease

Efficacy of Lipid Apheresis: Definitions and Influencing Factors

1995 ◽  
Vol 18 (4) ◽  
pp. 210-215 ◽  
Author(s):  
T. Bosch ◽  
D. Seidel ◽  
H. J. Gurland
Keyword(s):  
Coronary Artery Disease ◽  
Risk Factor ◽  
Coronary Artery ◽  
Clinical Efficacy ◽  
Plasma Volume ◽  
Lipid Apheresis ◽  
Term Efficacy ◽  
Risk Factor Reduction ◽  
Artery Disease

The comparison of efficiency of currently available lipid apheresis systems has been hampered by different definitions of efficacy and poorly controlled apheresis conditions. This paper suggests definitions of efficacy and standardization of its determinants. The acute efficacy of risk factor reduction reflects the relative decrease of pathogen by a single treatment session compared to preapheresis levels. Standardization of treated plasma volume in relation to the patients plasma volume and correction of changes in plasma volume during the procedure are mandatory. Its determination is most useful in the technical evaluation of new systems. The long-term efficacy of risk factor reduction as compared to baseline is determined by mean interapheresis levels of e.g. LDL-C in the pseudo-steady-state after about 3 months of regular treatment. It is the major criterion for potential regression of coronary artery disease and absolute average plasma levels of 120 ≤ mg/dl LDL-C should be attained. It is influenced by the acute efficacy of the system, apheresis frequency and rebound kinetics. The clinical efficacy is defined by apheresis induced reduction of coronary morbidity and mortality. It is influenced by long-term risk factor reduction, the selectivity of the system as well as the control of non-lipid risk factors. Apheresis related effects on coronary artery disease comprise functional improvements of hemorheology and vasomotion as well as morphological benefits like regression of luminal narrowing and plaque stabilization. In conclusion, the acute efficacy of apheresis systems should be determined under strictly controlled conditions; however, as apheresis independent factors influence long-term efficacy and, even more so, clinical efficacy of the treatment, differences between the available systems are blurred so that factors like costs and ease of handling may eventually significantly influence the choice of procedure.

scholarly journals 170 Psoriasis and coronary artery disease share a genetic risk factor through IFIH1

2021 ◽  
Vol 141 (5) ◽  
pp. S30
Author(s):  
M.T. Patrick ◽  
S. Sreeskandarajan ◽  
Q. Li ◽  
N. Mehta ◽  
J.E. Gudjonsson ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Risk Factor ◽  
Coronary Artery ◽  
Genetic Risk ◽  
Genetic Risk Factor ◽  
Artery Disease

scholarly journals Association of smoking with coronary artery disease in Nepalese populations: a case control study

2019 ◽  
Vol 8 (5) ◽  
pp. 677-685
Author(s):  
Til Bahadur Basnet ◽  
Cheng Xu ◽  
Manthar Ali Mallah ◽  
Wiwik Indayati ◽  
Cheng Shi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Risk Factor ◽  
Coronary Artery ◽  
Case Control Study ◽  
Case Control ◽  
Psychosocial Risk ◽  
Psychosocial Risk Factor ◽  
Artery Disease ◽  
Control Study

Abstract There are well-known traditional risk factors for coronary artery disease (CAD). Among them, smoking is one of the most prominent and modifiable risk factors. This study aims to determine the magnitude of smoking as a risk factor for CAD in the Nepalese population. A hospital-based age- and sex-matched case–control study was carried out with a total of 612 respondents. Bivariate analysis showed that the risk of developing CAD in ex-smokers and current smokers was higher (odds ratio (OR): 1.81 (confidence interval (CI): 1.21–2.7) and OR: 5.2 (CI: 3.4–7.97)), with p-values less than 0.004 and <0.00001, respectively, compared to the risk in never smokers. From stratified socio-demographic, cardio-metabolic, behavioural and psychosocial risk factor analysis, smoking was found to be associated with CAD in almost all subgroups. In the subsequent multivariate analysis, adjustment for socio-demographic, cardio-metabolic and psychosocial risk factors showed a steady increase in risk. However, further adjustment for behavioural risk factors (alcohol use and physical activity) showed that the risk was attenuated by 59% in current smokers. After adjusting for the covariates, current smokers and ex-smokers had an increased risk of CAD (OR: 6.64, 95% CI: 3.64–12.12, p < 0.00001; OR: 1.89, 95% CI: 1.08–3.31, p < 0.012, respectively) compared with non-smokers. In conclusion, smoking was found to increase the risk of CAD in the Nepalese population.

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