Early warning model for vulnerable plaque biomarker
10.3969/j.issn.1006-5725.2016.04.020
- VernacularTitle:基于易损斑块生物标志物预警模型的构建
- Author:
Yonghui LI
;
Yasha WANG
;
Tao FANG
;
Xinyu MU
;
Xiaochun XING
;
Huan ZHANG
- Publication Type:Journal Article
- Keywords:
acute coronary syndrom;
vulnerable plaque;
biomarker;
early warning model Early warning model
- From:
The Journal of Practical Medicine
2016;32(4):577-580
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyse the risk factors of vulnerable plaque biomarker and to construct an early warning system. Methods Ninety patients with suspected acute coronary syndrome (ACS) hospitalized during December 2012 and December 2013 were selected. The coronary artery lesions were divided into type I, II and III plaque groups by the morphology of atherosclerotic plaque. Serum SAA, PLGF, sCD40L and Npt were measured. The results of SAA, PLGF, sCD40L and Npt were compared. Logistic regression model was fitted to explore the main influencing factors of the vulnerable plaque. Results SAA, PLGF, sCD40L, and Npt were main influencing factors of the vulnerable plaques, and the ORs were 1.61, 1.88, 1.96 and 1.79 respectively. Conclusion The detection of SAA, PLGF, sCD40L and Npt biochemical markers in patients with chest pain is important for predicting the vulnerable plaque and guiding clinical treatment.
