1.
Baseline metabolomic profiles predict cardiovascular events in patients at risk for coronary artery disease
by Shah, Svati H., MD, MHS
The American heart journal, 2012, Vol.163 (5), p.844-850.e1
2.
Brain-derived neurotrophic factor rs6265 (Val66Met) polymorphism is associated with disease severity and incidence of cardiovascular events in a patient cohort
by Jiang, Rong, PhD
The American heart journal, 2017, Vol.190, p.40-45
3.
Genome-wide association study of new-onset atrial fibrillation after coronary artery bypass grafting surgery
by Kertai, Miklos D., MD, PhD
The American heart journal, 2015, Vol.170 (3), p.580-590.e28
4.
Polymorphisms associated with in vitro aspirin resistance are not associated with clinical outcomes in patients with coronary artery disease who report regular aspirin use
by Voora, Deepak, MD
The American heart journal, 2011, Vol.162 (1), p.166-172.e1
5.
Use of outcome measures in pulmonary hypertension clinical trials
by Parikh, Kishan S., MD
The American heart journal, 2015, Vol.170 (3), p.419-429.e3
6.
Reclassification of cardiovascular risk using integrated clinical and molecular biosignatures: Design of and rationale for the Measurement to Understand the Reclassification of Dis...
by Shah, Svati H., MD, MS, MHS
The American heart journal, 2010, Vol.160 (3), p.371-379.e2
7.
Rationale and design of the Duke Electrophysiology Genetic and Genomic Studies (EPGEN) biorepository
by Koontz, Jason I., MD, PhD
The American heart journal, 2009, Vol.158 (5), p.719-725
8.
Association of standard clinical and laboratory variables with red blood cell distribution width
by Guimarães, Patrícia O., MD
The American heart journal, 2015, Vol.174, p.22-28
9.
Corrigendum to ‘Association of Standard Clinical and Laboratory Variables with Red Blood Cell Distribution Width (RDW)’[Am. Heart J. (2016) 22–28]
by Guimarães, Patrícia O., MD
The American heart journal, 2012, Vol.188, p.196-196
