scholarly journals A Prediction Model for Physical Activity Adherence for Secondary Prevention among Patients with Coronary Artery Disease

2019 ◽  
Vol 31 (1) ◽  
pp. 78 ◽  
Author(s):  
Mi Hwa Won ◽  
Oksoo Kim
Keyword(s):  
Physical Activity ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Secondary Prevention ◽  
Prediction Model ◽  
Physical Activity Adherence ◽  
Artery Disease

Genetic predisposition to coronary artery disease is predictive of recurrent events: a Chinese prospective cohort study

2020 ◽  
Vol 29 (6) ◽  
pp. 1044-1053 ◽  
Author(s):  
Jie Jiang ◽  
Qiwen Zheng ◽  
Yaling Han ◽  
Shubin Qiao ◽  
Jiyan Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Secondary Prevention ◽  
Prediction Model ◽  
Recurrent Events ◽  
Genetic Risk Score ◽  
Major Adverse Cardiovascular Events ◽  
Increased Risk ◽  
Artery Disease

Abstract Evidence of the effects of genetic risk score (GRS) on secondary prevention is scarce and mixed. We investigated whether coronary artery disease (CAD) susceptible loci can be used to predict the risk of major adverse cardiovascular events (MACEs) in a cohort with acute coronary syndromes (ACSs). A total of 1667 patients hospitalized with ACS were enrolled and prospectively followed for a median of 2 years. We constructed a weighted GRS comprising 79 CAD risk variants and investigated the association between GRS and MACE using a multivariable cox proportional hazard regression model. The incremental value of adding GRS into the prediction model was assessed by integrated discrimination improvement (IDI) and decision curve analysis (DCA). In the age- and sex-adjusted model, each increase in standard deviation in the GRS was associated with a 33% increased risk of MACE (hazard ratio: 1.33; 95% confidence interval: 1.10–1.61; P = 0.003), with this association not attenuating after further adjustment for traditional cardiovascular risk factors. The addition of GRS to a prediction model of seven clinical risk factors and EPICOR prognostic model slightly improved risk stratification for MACE as calculated by IDI (+1.7%, P = 0.006; +0.3%, P = 0.024, respectively). DCA demonstrated positive net benefits by adding GRS to other models. GRS was associated with MACE after multivariable adjustment in a cohort comprising Chinese ACS patients. Future studies are needed to validate our results and further evaluate the predictive value of GRS in secondary prevention.

scholarly journals Physical activity and sedentary behaviour in secondary prevention of coronary artery disease: A review

2021 ◽  
Vol 5 ◽  
pp. 100146
Author(s):  
Ville Vasankari ◽  
Jari Halonen ◽  
Tommi Vasankari ◽  
Vesa Anttila ◽  
Juhani Airaksinen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Secondary Prevention ◽  
Sedentary Behaviour ◽  
Artery Disease

scholarly journals Physical activity, sedentary behavior and risk of coronary artery disease, myocardial infarction and ischemic stroke: a two-sample Mendelian randomization study

2021 ◽  
Author(s):  
Martin Bahls ◽  
Michael F. Leitzmann ◽  
André Karch ◽  
Alexander Teumer ◽  
Marcus Dörr ◽  
...  
Keyword(s):  
Physical Activity ◽  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Ischemic Stroke ◽  
Coronary Artery ◽  
Sedentary Behavior ◽  
Mendelian Randomization ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Artery Disease

Abstract Aims Observational evidence suggests that physical activity (PA) is inversely and sedentarism positively related with cardiovascular disease risk. We performed a two-sample Mendelian randomization (MR) analysis to examine whether genetically predicted PA and sedentary behavior are related to coronary artery disease, myocardial infarction, and ischemic stroke. Methods and results We used single nucleotide polymorphisms (SNPs) associated with self-reported moderate to vigorous PA (n = 17), accelerometer based PA (n = 7) and accelerometer fraction of accelerations > 425 milli-gravities (n = 7) as well as sedentary behavior (n = 6) in the UK Biobank as instrumental variables in a two sample MR approach to assess whether these exposures are related to coronary artery disease and myocardial infarction in the CARDIoGRAMplusC4D genome-wide association study (GWAS) or ischemic stroke in the MEGASTROKE GWAS. The study population included 42,096 cases of coronary artery disease (99,121 controls), 27,509 cases of myocardial infarction (99,121 controls), and 34,217 cases of ischemic stroke (404,630 controls). We found no associations between genetically predicted self-reported moderate to vigorous PA, accelerometer-based PA or accelerometer fraction of accelerations > 425 milli-gravities as well as sedentary behavior with coronary artery disease, myocardial infarction, and ischemic stroke. Conclusions These results do not support a causal relationship between PA and sedentary behavior with risk of coronary artery disease, myocardial infarction, and ischemic stroke. Hence, previous observational studies may have been biased. Graphic abstract

scholarly journals The scientific basis for secondary prevention of coronary artery disease: recent contributions from the Netherlands

2020 ◽  
Vol 28 (S1) ◽  
pp. 136-140
Author(s):  
H. T. Jørstad ◽  
M. Snaterse ◽  
N. ter Hoeve ◽  
M. Sunamura ◽  
R. Brouwers ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
The Netherlands ◽  
Secondary Prevention ◽  
Scientific Basis ◽  
Artery Disease
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