Cardiovascular Prevention: Migrating From a Binary to a Ternary Classification.
Front Cardiovasc Med
; 7: 92, 2020.
Article
em En
| MEDLINE
| ID: mdl-32528979
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Front Cardiovasc Med
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Estados Unidos