Predicting Coronary Heart disease through Risk Factor Categories

The primary objective of this study was to examine whether accurate prediction of coronary heart disease (CHD) in undiagnosed individuals is possible through risk factor evaluation, mainly through 4 governing factors; behavior, condition, age and gender.The secondary objective was to improve currently used coronary prediction algorithms or programs by including new factors discussed here.To evaluate the impact of risk factors in predicting CHD, a meta-analysis was performed by reviewing published data from various randomized trials and studies.The results show that the mentioned factors are accurate predictors of CHD and that there is a drastic need to improve existing risk-factor evaluating programs or algorithms by including other factors, mainly central obesity.These findings are important in managing CHD related deaths worldwide.Ability to predict CHD will reduce both mortality and the long-term expenses associated with the management of the disease.