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DAPT Duration

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Patient Selection and Clinical Outcomes in the STOPDAPT-2 Trial: An All-Comer Single-Center Registry During the Enrollment Period of the STOPDAPT-2 Randomized Controlled Trial A randomized comparison of Coronary Stents according to Short or Prolonged durations of Dual Antiplatelet Therapy in patients with Acute Coronary Syndromes: a pre-specified analysis of the SMART-DATE trial Trial Design Principles for Patients at High Bleeding Risk Undergoing PCI: JACC Scientific Expert Panel Major Bleeding Rates in Atrial Fibrillation Patients on Single, Dual, or Triple Antithrombotic Therapy Dual-Antiplatelet Therapy Cessation and Cardiovascular Risk in Relation to Age: Analysis From the PARIS Registry Rivaroxaban Plus Aspirin Versus Aspirin in Relation to Vascular Risk in the COMPASS Trial The optimal duration of dual antiplatelet therapy after coronary stent implantation: to go too far is as bad as to fall short Twelve or 30 months of dual antiplatelet therapy after drug-eluting stents Efficacy and Safety of Ticagrelor Monotherapy in Patients Undergoing Multivessel PCI A risk score to predict postdischarge bleeding among acute coronary syndrome patients undergoing percutaneous coronary intervention: BRIC-ACS study

Review ArticleVolume 72, Issue 25, December 2018

JOURNAL:J Am Coll Cardiol. Article Link

Future of Personalized Cardiovascular Medicine

RM Califf Keywords: data science; electronic health record; precision medicine; registry

ABSTRACT


Previous decades have seen significant progress in the biological understanding of cardiovascular disease, as well as major advances in computational and information technologies. However, anticipated improvements in outcomes, quality, and cost of cardiovascular medicine at the individual and population levels from these advances have lagged expectations. Further, trends showing widening gaps in the pace of technological development and its successful uptake and application in practice suggests that substantial systemic changes are needed. Recent declines in key U.S. health outcomes have added further urgency to seek scalable approaches that deliver the right treatment to the right patient and to develop information-driven policies that improve health. The clinical care and research enterprises are currently in the midst of assimilating changes entrained by a “fourth industrial revolution” marked by the convergence of biology, physical sciences, and information science. These changes, if managed appropriately, can simultaneously enable cost-effective personalized medical care as well as more effective and targeted population health interventions. In this paper derived from a lecture in honor of cardiologist Paul Dudley White, the author explores how White’s prescient insights into prevention and treatment continue to resonate today as we seek to assimilate ubiquitous computing, sophisticated sensor technologies, and bidirectional digital communication into the practice of cardiology. How the ongoing acceleration in basic science and information technologies can be wedded to the principles articulated by White as we pursue scalable approaches to personalized medicine is also examined.