Cardiovascular Prevention: Migrating From a Binary to a Ternary Classification

Amy Lynn Doneen; Bradley Field Bale; David John Vigerust; Pierre P Leimgruber

doi:10.3389/fcvm.2020.00092

Cardiovascular Prevention: Migrating From a Binary to a Ternary Classification

Front Cardiovasc Med. 2020 May 22:7:92. doi: 10.3389/fcvm.2020.00092. eCollection 2020.

Authors

Amy Lynn Doneen¹, Bradley Field Bale¹, David John Vigerust², Pierre P Leimgruber³

Affiliations

¹ College of Medicine, Washington State University, Spokane, WA, United States.
² School of Medicine, Vanderbilt University, Nashville, TN, United States.
³ School of Medicine, University of Washington, Seattle, WA, United States.

Abstract

Migrating from a binary approach to risk assessment to a ternary model of disease identification allows for individualized, optimal disease management. Redefining the disease/inflammatory approach has been proven to identify, stabilize, and regress atherosclerosis while adding understanding to the progression of vascular disease. Our previously published results show the beneficial effect of comprehensive, evidence-based management on subclinical atherosclerosis and vulnerable plaque. We argue that this approach does not mitigate the value of utilizing standard risk factor identification, but rather augments it for the benefit of the individual patient.

Keywords: atherosclerosis; cardiovascular disease (CVD); inflammation; plaque; prevention.