Abstract
Coronary artery disease (CAD) is the major cause of mortality and morbidity globally. Diet is known to contribute to CAD risk, and the dietary intake of specific macro- or micro-nutrients might be potential predictors of CAD risk. Machine learning methods may be helpful in the analysis of the contribution of several parameters in dietary including macro- and micro-nutrients to CAD risk. Here we aimed to determine the most important dietary factors for predicting CAD. A total of 273 cases with more than 50% obstruction in at least one coronary artery and 443 healthy controls who completed a food frequency questionnaire (FFQ) were entered into the study. All dietary intakes were adjusted for energy intake. The QUEST method was applied to determine the diagnosis pattern of CAD. A total of 34 dietary variables obtained from the FFQ were entered into the initial study analysis, of these variables 23 were significantly associated with CAD according to t-tests. Of these 23 dietary input variables, adjusted protein, manganese, biotin, zinc and cholesterol remained in the model. According to our tree, only protein intake could identify the patients with coronary artery stenosis according to angiography from healthy participant up to 80%. The dietary intake of manganese was the second most important variable. The accuracy of the tree was 84.36% for the training dataset and 82.94% for the testing dataset. Among several dietary macro- and micro-nutrients, a combination of protein, manganese, biotin, zinc and cholesterol could predict the presence of CAD in individuals undergoing angiography.
Highlights
Coronary artery disease (CAD) is the major cause of morbidity and mortality worldwide [1]
Total 34 dietary variables obtained from food frequency questionnaire (FFQ) were entered the study that 23 of these variables were significantly associated with CAD according to t-test
Only protein intake could identify the patients with coronary artery stenosis according to angiography from healthy participant up to 80%
Summary
Coronary artery disease (CAD) is the major cause of morbidity and mortality worldwide [1]. The most prevalent CAD risk factors are smoking, male gender, age, ethnicity, family history of the disease, high blood pressure, high blood cholesterol, diabetes, poor diet, Lack of exercise, obesity, stress and blood vessel inflammation. These factors affect each patient variously [3]. The gold standard of CAD diagnosis remains invasive coronary angiography, but this procedure is associated with a risk of serious complication [4]. A study in China indicated that low fat and high fiber intake decrease CAD mortality [14]. In regard to protein intake and risk of CAD, in a followup study by health professionals a significant relationship was found between total protein and increased risk of CAD [15], in a review article, Pedersen et al concluded that there was no significant relationship between protein intake and strokes and coronary heart disease [16]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
