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Journal of Southern Medical University ; (12): 1015-1019, 2010.
Artigo em Chinês | WPRIM | ID: wpr-290005

RESUMO

<p><b>OBJECTIVE</b>To assess the value of biochemical marker detection in risk stratification in hospitalized patients with acute coronary syndrome (ACS).</p><p><b>METHODS</b>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.</p><p><b>RESULTS</b>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.</p><p><b>CONCLUSION</b>Combined detection of the biochemical markers can be helpful for risk stratification of the hospitalized patients with ACS early after admission.</p>


Assuntos
Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Síndrome Coronariana Aguda , Sangue , Biomarcadores , Sangue , Proteína C-Reativa , Metabolismo , Modelos Estatísticos , Peptídeo Natriurético Encefálico , Sangue , Peroxidase , Sangue , Valor Preditivo dos Testes , Curva ROC , Medição de Risco , Fatores de Risco
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