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Your search keyword '"Magaret, Craig A."' showing total 11 results
Start Over Author "Magaret, Craig A." Journal journal of the american college of cardiology (jacc)
11 results on '"Magaret, Craig A."'

2. A Clinical and Biomarker Scoring System to Predict the Presence of Obstructive Coronary Artery Disease.

Author

Ibrahim, Nasrien E., Jr.Januzzi, James L., Magaret, Craig A., Gaggin, Hanna K., Rhyne, Rhonda F., Gandhi, Parul U., Kelly, Noreen, Simon, Mandy L., Motiwala, Shweta R., Belcher, Arianna M., van Kimmenade, Roland R.J., and Januzzi, James L Jr

Subjects
*CORONARY disease, *DIAGNOSIS, *CORONARY angiography, *PERCUTANEOUS coronary intervention, *BIOMARKERS, *CLINICAL trials, *CORONARY artery stenosis, *LONGITUDINAL method, *PREDICTIVE tests, *RECEIVER operating characteristic curves
Abstract

Background: Noninvasive models to predict the presence of coronary artery disease (CAD) may help reduce the societal burden of CAD.Objectives: From a prospective registry of patients referred for coronary angiography, the goal of this study was to develop a clinical and biomarker score to predict the presence of significant CAD.Methods: In a training cohort of 649 subjects, predictors of ≥70% stenosis in at least 1 major coronary vessel were identified from >200 candidate variables, including 109 biomarkers. The final model was then validated in a separate cohort (n = 278).Results: The scoring system consisted of clinical variables (male sex and previous percutaneous coronary intervention) and 4 biomarkers (midkine, adiponectin, apolipoprotein C-I, and kidney injury molecule-1). In the training cohort, elevated scores were predictive of ≥70% stenosis in all subjects (odds ratio [OR]: 9.74; p < 0.001), men (OR: 7.88; p <0.001), women (OR: 24.8; p < 0.001), and those with no previous CAD (OR: 8.67; p < 0.001). In the validation cohort, the score had an area under the receiver-operating characteristic curve of 0.87 (p < 0.001) for coronary stenosis ≥70%. Higher scores were associated with greater severity of angiographic stenosis. At optimal cutoff, the score had 77% sensitivity, 84% specificity, and a positive predictive value of 90% for ≥70% stenosis. Partitioning the score into 5 levels allowed for identifying or excluding CAD with >90% predictive value in 42% of subjects. An elevated score predicted incident acute myocardial infarction during 3.6 years of follow up (hazard ratio: 2.39; p < 0.001).Conclusions: We described a clinical and biomarker score with high accuracy for predicting the presence of anatomically significant CAD. (The CASABLANCA Study: Catheter Sampled Blood Archive in Cardiovascular Diseases; NCT00842868). [ABSTRACT FROM AUTHOR]

Published
2017
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10. MULTIPLE BIOMARKERS FOR PREDICTING MAJOR ADVERSE CARDIAC EVENTS IN AT-RISK PATIENTS UNDERGOING DIAGNOSTIC CORONARY ANGIOGRAPHY: RESULTS FROM THE CATHETER SAMPLED BLOOD ARCHIVE IN CARDIOVASCULAR DISEASES (CASABLANCA) STUDY.

Author

McCarthy, Cian, Van Kimmenade, Roland, Gaggin, Hanna, Simon, Mandy, Ibrahim, Nasrien, Gandhi, Parul, Kelly, Noreen, Belcher, Arianna, Motiwala, Shweta, Rhyne, Rhonda, Magaret, Craig, and Januzzi, James

Subjects
*CORONARY angiography, *BLOOD sampling, *ADVERSE health care events, *CARDIOVASCULAR diseases, *CATHETERS, *MYOCARDIAL perfusion imaging
Published
2017
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11. MULTIPLE BIOMARKERS FOR PREDICTING MAJOR ADVERSE CARDIAC EVENTS IN AT-RISK PATIENTS UNDERGOING DIAGNOSTIC CORONARY ANGIOGRAPHY: RESULTS FROM THE CATHETER SAMPLED BLOOD ARCHIVE IN CARDIOVASCULAR DISEASES (CASABLANCA) STUDY.

Author

McCarthy, Cian, Van Kimmenade, Roland, Gaggin, Hanna, Simon, Mandy, Ibrahim, Nasrien, Gandhi, Parul, Kelly, Noreen, Belcher, Arianna, Motiwala, Shweta, Rhyne, Rhonda, Magaret, Craig, and Januzzi, James

Subjects
*HEART disease diagnosis, *BIOMARKERS, *CORONARY angiography, *HEART disease risk factors, *ADVERSE health care events, *CARDIOVASCULAR diseases risk factors, *CARDIAC catheterization
Published
2017
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