title: [Value of biochemical marker detection in risk stratification in patients with acute coronary syndrome].
abstract: OBJECTIVE
  To assess the value of biochemical marker detection in risk stratification in hospitalized patients with acute coronary syndrome (ACS).
  
  
  METHODS
  A 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.
  
  
  RESULTS
  No 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.
  
  
  CONCLUSIONS
  Combined detection of the biochemical markers can be helpful for risk stratification of the hospitalized patients with ACS early after admission.
authors.affiliation: Department of Cardiology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China. beiliu163@163.com
authors.forename: Bei
authors.initials: B
authors.lastname: Liu
authors.forename: Qiang
authors.initials: Q
authors.lastname: Fu
authors.forename: Quan-neng
authors.initials: QN
authors.lastname: Yan
authors.forename: Wen
authors.initials: W
authors.lastname: Jin
authors.forename: Dan-ping
authors.initials: DP
authors.lastname: Tao
authors.forename: Jing-hai
authors.initials: JH
authors.lastname: Hua
authors.forename: Zhi-liang
authors.initials: ZL
authors.lastname: Li
mesh_terms: D054058:Acute Coronary Syndrome / Q000097:blood*; D000368:Aged; D015415:Biomarkers / Q000097:blood*; D002097:C-Reactive Protein / Q000378:metabolism; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D020097:Natriuretic Peptide, Brain / Q000097:blood; D009195:Peroxidase / Q000097:blood; D011237:Predictive Value of Tests; D012372:ROC Curve; D018570:Risk Assessment; D012307:Risk Factors
chemical_list: D015415:Biomarkers; D020097:Natriuretic Peptide, Brain; D002097:C-Reactive Protein; D009195:Peroxidase