Correlation between serum laminin levels and prognosis of acute myocardial infarction

Lou-Yuan Xu; Ling Xie; Jing Wang; Hai-Xiao Chen; Hong-Li Cai; Li-Jun Tian; Qing Zhang

doi:10.3389/fcvm.2022.936983

Correlation between serum laminin levels and prognosis of acute myocardial infarction

Front Cardiovasc Med. 2022 Jul 22:9:936983. doi: 10.3389/fcvm.2022.936983. eCollection 2022.

Authors

Lou-Yuan Xu¹, Ling Xie¹, Jing Wang¹, Hai-Xiao Chen², Hong-Li Cai², Li-Jun Tian³, Qing Zhang²

Affiliations

¹ Department of Cardiology, Second Affiliated Hospital of Nantong University, Nantong, China.
² Department of General Medicine, Second Affiliated Hospital of Nantong University, Nantong, China.
³ Department of Critical Care Medicine, Nantong Third People's Hospital, Nantong University, Nantong, China.

Abstract

Background: Acute myocardial infarction (AMI) is a critical cardiovascular disease (CVD). Laminin (LN) is involved in the process of myocardial fibrosis and ventricular remodeling observed in AMI; however, there are currently no studies on the correlation between LN and AMI prognosis.

Purpose: To explore the predictive value of serum LN levels for major adverse cardiovascular events (MACE) in patients, 6 months after an acute myocardial infarction.

Methods: A total of 202 AMI patients who were hospitalized in the Department of Cardiology of the Second Affiliated Hospital of Nantong University between December 2019 and December 2020 were included. The observation endpoint was the occurrence of MACE. Univariate and multivariate logistic analyses were used to evaluate the relationships between the variables and endpoint. The predictive value of LN for MACE in AMI patients was assessed using receiver operating characteristic (ROC) analysis.

Results: A total of 47 patients developed MACE. Univariate logistic analysis showed that smoking, emergency percutaneous coronary intervention (EPCI), age, cardiac troponin I (c-TNI) levels, N-terminal prohormone brain natriuretic peptide (NT-proBNP) levels, and LN levels were associated with the occurrence of MACE (p < 0.05). Multivariate logistic analysis showed that LN was an independent predictor of MACE (odds ratio [OR] = 1.021, 95%CI: 1.014-1.032, p < 0.001). According to the ROC curve, LN can be used as an effective predictor of MACE (AUC = 0.856, 95%CI: 0.794-0.918, p < 0.001). According to the cutoff value, LN>58.80 ng/ml (sensitivity = 83.00%, specificity = 76.80%) or LN>74.15 ng/ml (sensitivity = 76.6%, specificity = 83.2%) indicate a poor prognosis for AMI. Different cut-off values are selected according to the need for higher sensitivity or specificity in clinical applications.

Conclusions: LN may be a predictor of MACE following AMI in patients and could be utilized as a novel substitute marker for the prevention and treatment of AMI.

Keywords: MACE; acute myocardial infarction; cardiovascular disease; laminin; serum biomarker.