Prediction of risk of coronary events in middle-aged men in the Prospective Cardiovascular Münster Study (PROCAM) using neural networks

Abstract

Intervention trials indicate that about one in three coronary events can be prevented by 5 years of lipid-lowering treatment. Our analysis suggests that use of the MLP to identify high-risk individuals as candidates for drug treatment would allow prevention of 25% of coronary events in middle-aged men, compared to 15% and 11% with LR and the PNN, respectively.

In primary care, when is chest pain due to coronary artery disease?

“…This feature potentially limits feasibility in a short clinical consultation and the number of patients in whom all variables are available. 6,7 The study by Bösner and colleagues is in many ways a model of prediction-rule development. The collaboration with the Swiss research group has provided a solution to the difficulty that many experience in finding an appropriate cohort for validation.…”

Magnitude of the Difference between Fasting and Non-fasting Triglycerides, and Its Dependent Factors Running Title: Fasting and Non-fasting Triglycerides

“…The rest was defined as non-fasting subjects. We used 8 hours as a cut point to define fasting and non-fasting status because it is a clinical routine procedure to measure triglycerides in ≥ 8 hours fasting blood samples [1,4] and 8-hour point gave bigger difference between fasting and nonfasting triglycerides than other cut-points (e.g., 6, 10 or 12 hours) in our study.…”

“…High level of triglyceride is a well-recognized risk factor for cardiovascular diseases (CVDs) [1][2][3]. Current clinical guideline suggests that triglycerides should be measured in fasting blood samples in order to assess the risk of CVDs accurately [1,4], mainly because the levels of non-fasting triglycerides are generally higher than that of fasting triglycerides due to postprandial influence [5,6].…”

“…Current clinical guideline suggests that triglycerides should be measured in fasting blood samples in order to assess the risk of CVDs accurately [1,4], mainly because the levels of non-fasting triglycerides are generally higher than that of fasting triglycerides due to postprandial influence [5,6]. However, as individuals are in non-fasting state most of the time, non-fasting triglycerides have been proven to be more useful than fasting triglycerides to predict future CVDs [2,7,8].…”

Prediction of persistence of combined evidence-based cardiovascular medications in patients with acute coronary syndrome after hospital discharge using neural networks

“…NNs present the main advantage not to be based on "a priori" assumptions and to allow detection of links between factors that conventional statistical techniques may not be able to detect [1,7,33]. In studies carried out in the cardiovascular field, NNs provided a better predictive accuracy than did traditional statistical techniques [4,6,35].…”