Value of biochemical marker detection in risk stratification in patients with acute coronary syndrome.
- Author:
Bei LIU
1
;
Qiang FU
;
Quan-neng YAN
;
Wen JIN
;
Dan-ping TAO
;
Jing-hai HUA
;
Zhi-liang LI
Author Information
- Publication Type:Journal Article
- MeSH: Acute Coronary Syndrome; blood; Aged; Biomarkers; blood; C-Reactive Protein; metabolism; Female; Humans; Male; Middle Aged; Models, Statistical; Natriuretic Peptide, Brain; blood; Peroxidase; blood; Predictive Value of Tests; ROC Curve; Risk Assessment; Risk Factors
- From: Journal of Southern Medical University 2010;30(5):1015-1019
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo assess the value of biochemical marker detection in risk stratification in hospitalized patients with acute coronary syndrome (ACS).
METHODSA total of 264 consecutive patients (180 male and 84 female patients) admitted for complaint of chest tightness or/and pain were evaluated for a decision of coronary angiography (CAG) within 24 h after admission. The patients were divided into two groups to receive emergency or elective CAG. The venous blood samples were taken from the patient immediately after admission for detection of amino-terminal pro-brain natriuretic peptide (NT-pro-BNP), high-sensitivity C-reactive protein (hs-CRP), myeloperoxidase (MPO), monocyte chemoattractant protein 1 (MCP-1), intercellular adhesion molecule (sICAM-1), soluble CD40 ligand (sCD40L), matrix metalloproteinase 9 (MMP-9), interleukin-6 (IL-6), interleukin 27 (IL-27) and creatine kinase isoenzyme (CK-MB) were detected.
RESULTSNo significant differences in NT-proBNP, hs-CRP, MPO, sCD40L, and MMP-9 were found between emergency CAG group and elective CAG group (P<0.05). Logistic regression identified significant differences in NT-proBNP, hs-CRP, MPO, IL-27 and CK-MB between the two groups, and a predictive model for risk stratification of ACS was established using these biomarkers. The ROC curves of this predictive model showed an area under the curve of 98.1, suggesting a high predictive value of this model in assessment of the changes or progression of ACS.
CONCLUSIONCombined detection of the biochemical markers can be helpful for risk stratification of the hospitalized patients with ACS early after admission.