Professor of Anesthesiology and Critical Care Medicine
Assistant Professor of Surgery
Director of Perioperative Genomic Research & Director of Periop Hemostasis and Thrombosis Lab
Co-Director of Cardiac Surgical Intensive Care
Department of Anesthesiology and Critical Care Medicine
The Johns Hopkins University School of Medicine
600 N. Wolfe Street
Baltimore, MD 21287
Appointment Phone: 410-955-9080
Nauder Faraday, MD, completed his residency in Anesthesiology in 1992, a fellowship in Critical Care Medicine in 1993, and a fellowship in Cardiac Anesthesiology in 1994—all at JHU. He is currently the Director of Perioperative Genomic Research and of the Perioperative Hemostasis and Thrombosis Laboratory at JHU. He is funded by the NIH for investigation of the pharmacogenomics of antiplatelet agents for prevention of cardiovascular disease, for a genome-wide association study of platelet phenotypes, and for the study of the genotypic determinants of aspirin response in high-risk families; he also receives industrial sponsorship to investigate the safety and efficacy of rFVIIa in cardiac surgery.
In addition to these sponsored activities, Dr. Faraday conducts ongoing translational and clinical research programs in platelet biology and perioperative genomics. Translational projects use in vitro and vivo models to identify the mechanisms through which inflammation promotes platelet-mediated thrombosis. Dr. Faraday has assembled a multidisciplinary team that conducts a prospective cohort study to investigate the genetic basis for infectious and thrombotic outcomes after surgery. A summary of the goals of the preoperative genomic research program follows:
Infectious (wound, bloodstream, pulmonary) and vascular occlusive (myocardial infarction, venous thromboembolism) complications occur in as many as 20% of surgical patients and represent a significant source of preventable morbidity and mortality. Identification of patients at highest risk for these complications and alteration of medical therapy to mitigate their risk is an attractive approach toward improving patient safety and outcomes. Unfortunately, currently available risk-prediction tools that are based on medical history and surgical criteria have insufficient predictive power to guide medical decision making.