Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Department of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Clin Chim Acta. 2024 Mar 1;555:117825. doi: 10.1016/j.cca.2024.117825. Epub 2024 Feb 6.
Acute myocardial infarction (AMI) still has a high incidence of varying degrees of heart failure (HF). The aim of this study is to identify new molecular markers for predicting the severity of HF after AMI.
We analyzed demographic indicators, past medical history, clinical indicators, major adverse cardiac events (MACEs) and molecular markers in patients with different Killip classifications after AMI. Olink proteomics was used to explore new molecular markers for predicting different severity of HF after AMI.
Neutrophil count was the independent risk factors for in-hospital MACEs. Nineteen differentially expressed proteins (DEPs) increased significantly with increasing Killip classification. Five DEPs were also found to have an AUC (95 % CI) value greater than 0.8: GDF-15, NT-pro BNP, TNF-R2, TNF-R1 and TFF3.
Neutrophil count, GDF-15, TNF-R2, TNF-R1 and TFF3 were closely related to the Killip classification of HF after AMI, which suggests that the inflammatory response plays an important role in the severity of HF after AMI and that regulating inflammation might become a new target for controlling HF.
急性心肌梗死(AMI)仍有不同程度心力衰竭(HF)的高发。本研究旨在寻找预测 AMI 后 HF 严重程度的新分子标志物。
分析 AMI 后不同 Killip 分级患者的人口统计学指标、既往病史、临床指标、主要不良心脏事件(MACEs)和分子标志物。采用 Olink 蛋白质组学技术探讨预测 AMI 后不同严重程度 HF 的新分子标志物。
中性粒细胞计数是住院期间 MACEs 的独立危险因素。19 个差异表达蛋白(DEPs)随 Killip 分级的增加而显著增加。还发现 5 个 DEPs 的 AUC(95%CI)值大于 0.8:GDF-15、NT-proBNP、TNF-R2、TNF-R1 和 TFF3。
中性粒细胞计数、GDF-15、TNF-R2、TNF-R1 和 TFF3 与 AMI 后 HF 的 Killip 分级密切相关,提示炎症反应在 AMI 后 HF 严重程度中起重要作用,调节炎症可能成为控制 HF 的新靶点。