Risk Stratification of Coronary Heart Disease in Greece: Final Results from the CARDIO2000 Epidemiological Study

2002 ◽  
Vol 35 (6) ◽  
pp. 548-556 ◽  
Author(s):  
D Panagiotakos
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Risk Stratification ◽  
Epidemiological Study

Prognosis research in people with coronary heart disease

2019 ◽  
pp. 258-267
Author(s):  
Adam Timmis ◽  
Pablo Perel ◽  
Peter Croft
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Risk Stratification ◽  
Secondary Prevention ◽  
Treatment Decisions ◽  
Long Term Outcomes ◽  
Prognosis Research

Coronary heart disease (CHD) outcomes have improved in recent decades because of better treatment, improved investigations, and better secondary prevention. The results of prognosis research have contributed to the development and evaluation of these new components of healthcare for CHD, but have also critically questioned traditional classifications of CHD, emphasized the importance of long-term outcomes in judging the success of healthcare in CHD patients, and highlighted the potential of risk stratification to guide better treatment decisions for individual patients with CHD. This chapter uses example studies to illustrate this story.

Longitudinal epidemiological study of coronary heart disease in a rural population of Kheda district, Gujarat, India

1996 ◽  
Vol 41 (6) ◽  
pp. 373-379 ◽  
Author(s):  
D. H. Trivedi ◽  
Vinit Sharma ◽  
Himanshu Pandya ◽  
R. K. Arya ◽  
Rajesh Mehta ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Epidemiological Study ◽  
Rural Population

scholarly journals Does coronary calcium scoring adds value to cardiovascular risk prediction in asymptomatic population?

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Serrao ◽  
M Temtem ◽  
A Pereira ◽  
J Monteiro ◽  
M Santos ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Cardiovascular Risk ◽  
Risk Stratification ◽  
Risk Prediction ◽  
Cardiovascular Events ◽  
Cardiovascular Risk Prediction ◽  
Traditional Risk Factors ◽  
The Impact

Abstract Background Despite being a controversial subject, multiple guidelines mention the use of Coronary Artery Calcification (CAC) scoring in the cardiovascular risk prediction, in asymptomatic population. The inclusion of CAC scoring in traditional risk models may help in decision-make providing better cardiovascular risk stratification. Purpose The aim of our study is to estimate the impact of CAC scoring in cardiovascular events risk prediction in a model based on traditional risk factors (TRFs). Methods and results The study consisted of 1052 asymptomatic individuals free of known coronary heart disease, enrolled from GENEMACOR study and referred for computed tomography for the CAC scoring assessment. A cohort of 952 was followed for a mean of 5.2±3.2 years for the primary endpoint of all-cause of cardiovascular events. The following traditional risk factors were considered: (1) current cigarette smoking, (2) dyslipidemia, (3) diabetes mellitus, (4) hypertension and (5) family history of coronary heart disease. Among this population, the extent of CAC differs significantly between men and women in the same age group. Therefore, the distribution of CAC score by age and gender was done by using the Hoff's nomogram (a). According to this nomogram, 3 categories were created: low CAC (0≤CAC<100 and P<50); moderate CAC (100≤CAC<400 or P50–75) and high CAC (CAC≥400 or P>75). Two Cox regression models were created, the first only with TRFs and the second adding the CAC severity categories. When including CAC categories to the TRFs, the higher severity level presented a significant risk of MACE occurrence with an HR of 4.39 (95% CI 1.83–10.52; p=0.001). Conclusion Our results point to the importance of the inclusion of CAC in both primary and secondary prevention to an improved risk stratification. Larger prospective multicentre cohorts with longer follow-up should reproduce and validate these findings. Funding Acknowledgement Type of funding source: None

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