The value of copeptin combined with troponin I in assessing the prognosis of elderly patients with acute myocardial infarction
10.3760/cma.j.issn.0254-9026.2022.02.002
- VernacularTitle:和肽素联合肌钙蛋白I评估老年急性心肌梗死患者预后的价值
- Author:
Wei WEN
1
;
Li WEN
;
Wen AN
;
Jinhua QUAN
;
Xinchao ZHANG
Author Information
1. 北京医院急诊科 国家老年医学中心 中国医学科学院老年医学研究院 100730
- Keywords:
Myocardial infarction;
Troponin I;
Copeptin;
Prognosis
- From:
Chinese Journal of Geriatrics
2022;41(2):135-138
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the prognostic value of copeptin(COP)and troponin I(cTnI)for elderly patients with acute myocardial infarction(AMI).Methods:81 elderly AMI patients admitted to the Department of Emergency of Beijing Hospital from August 2016 to August 2018 were included as study subjects.COP and cTnI were measured and other relevant examinations were conducted.The correlation between each factor and the risk of death was evaluated in a 6-month follow-up, and the prognostic value of each indicator was assessed.Results:There were statistically significant differences in COP, cTnI, arterial lactic acid(LAC), the acute physiology and chronic health evaluation(APACHE)Ⅱ score, D-Dimer and N-terminal brain natriuretic peptide precursor(NT-pro-BNP)between the survival group and the death group(all P<0.05).COP and cTnI levels in the death group were significantly higher than those in the survival group[COP: 29.08(13.73, 43.19)ng/L vs.13.76(4.81, 20.82)ng/L; cTnI: 0.78(0.35, 2.23)μg/L vs.0.33(0.19, 0.57)μg/L].Binary Logistic regression analysis showed that COP( OR=1.071, 95% CI: 1.016-1.130, P=0.040)and cTnI( OR=3.261, 95% CI: 1.058-10.045, P=0.011)were independent risk factors for death within 6 months in elderly AMI patients.The ROC curves were constructed for cTnI, COP and their combination, and the AUCs(95% CI)were 0.742(0.593-0.892), 0.752(0.655-0.910)and 0.790(0.648-0.932), respectively. Conclusions:COP and cTnI may be used to assess the prognosis for elderly patients with AMI, and their combination can further increase the predictive value for short-term death risk.
