Plasma biomarkers and plaque strain predict long-term cardiovascular events in patients with acute coronary syndrome.
Sci China Life Sci
; 63(2): 269-278, 2020 Feb.
Article
in En
| MEDLINE
| ID: mdl-31278618
ABSTRACT
To test whether circulating and intracoronary biomarkers and coronary plaque strain have additive values to Global Registry of Acute Coronary Events (GRACE) score for predicting long-term cardiovascular events in ACS patients. One hundred ACS patients were enrolled and the GRACE score and plasma levels and intracoronary gradients of a number of biomarkers were measured. Coronary plaque burden and morphology in non-critical stenotic plaques were determined by intravascular ultrasound (IVUS) technique, and the maximal shear strain (SSmax) and maximal area strain (ASmax) were determined by intravascular ultrasound elastography (IVUSE) technique. Patients were followed for cardiovascular events and the predictive values of clinical characteristics, plasma biomarkers and plaque parameters were compared with GRACE score, and the incremental values of these measurements to the GRACE score were assessed. GRACE score, plasma biomarkers and plaque strain were independent predictors of cardiovascular events. Combination of GRACE score, plasma biomarkers and plaque strains significantly improved the predictive value of the GRACE score alone with the receiver-operating characteristic area increased from 0.457 to 0.667 (P=0.014). The combination of circulating and intracoronary biomarkers, plaque strain and GRACE score provides a better predictive tool than GRACE score alone in patients with ACS.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Biomarkers
/
Intercellular Signaling Peptides and Proteins
/
Pulmonary Surfactant-Associated Protein D
/
Acute Coronary Syndrome
/
Phospholipases A2, Secretory
/
Plaque, Atherosclerotic
Type of study:
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Language:
En
Journal:
Sci China Life Sci
Journal subject:
BIOLOGIA
/
CIENCIA
Year:
2020
Document type:
Article