Predictive Accuracy of a Polygenic Risk Score–Enhanced Prediction Model vs a Clinical Risk Score for Coronary Artery Disease
نویسندگان
چکیده
منابع مشابه
Coronary artery calcium (CAC) score – a prognostic tool in coronary artery disease?
Introduction: The aim of this study was to evaluate the impact of measurement of coronary artery calcification score (CAC) in patients with suspected coronary artery disease (CAD) and a normal myocardial perfusion scan. Methods: In a prospective study we measured the calcium score of 74 patients (29 m, 45 f, mean age 58.7 (m) and 64.4 (f)) with suspicion of CAD and a normal perfusion scan. In ...
متن کاملUsing Combined Descriptive and Predictive Methods of Data Mining for Coronary Artery Disease Prediction: a Case Study Approach
Heart disease is one of the major causes of morbidity in the world. Currently, large proportions of healthcare data are not processed properly, thus, failing to be effectively used for decision making purposes. The risk of heart disease may be predicted via investigation of heart disease risk factors coupled with data mining knowledge. This paper presents a model developed using combined descri...
متن کاملLeft Main Coronary Artery Disease: traditional risk factors in a study from northwest of Iran
Background & Aims: Significant left main coronary artery disease (LMCAD) is found in 3 to 6 percent of all patients who undergo coronary arteriography. LMCAD usually requires an emergent surgery that has a higher rate of mortality and complications. The risk factors of left main involvement in previous studies are controversial. The aim of this study was to determine the traditional risk factor...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JAMA
سال: 2020
ISSN: 0098-7484
DOI: 10.1001/jama.2019.22241