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Proposal of a prediction model for prognosis of patients with acute myocardial infarction after percutaneous coronary intervention based on galectin-3 and soluble growth stimulating expressed gene 2 levels Cover

Proposal of a prediction model for prognosis of patients with acute myocardial infarction after percutaneous coronary intervention based on galectin-3 and soluble growth stimulating expressed gene 2 levels

Open Access
|May 2022

Abstract

Background: To study the correlations of serum galectin-3 (Gal-3) and soluble growth stimulating expressed gene 2 (sST2) levels with prognosis of patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI).

Methods: A total of 112 patients diagnosed from August 2015 to October 2017 were selected. They were followed up for 3 years. Based on major adverse cardiovascular events (MACEs) during follow-up, they were divided into MACE and non-MACE groups. Multivariate logistic regression analysis was performed to explore the independent risk factors for MACEs. A nomogram model was established using the factors and validated. The optimal cut-off values of Gal-3 and sST2 levels were determined by receiver operating characteristic curves. Kaplan-Meier method was used for survival analysis.

Results: MACEs occurred in 78 patients during follow-up. Patients in the MACE group were more often hypertensive, had higher total cholesterol, uric acid, sST2 and Gal-3, and lower left ventricular ejection fraction (LVEF) (P<0.05). CK-MB, sST2, Gal-3 and LVEF were the independent risk factors for MACEs (P<0.05). The nomogram model established with these factors had high accuracy for predicting overall survival, and its concordance index (C-index) was 0.768 (95% confidence interval: 0.692-0.865). The prognosis of the patients with Gal-3 ≥12.57 μg/ mL and sST2 ≥18.56 ng/mL was poorer 3 years after PCI.

Conclusions: The levels of serum Gal-3 and sST2 are the independent risk factors for MACEs in AMI patients following PCI, with high prognostic value.

DOI: https://doi.org/10.2478/rrlm-2022-0019 | Journal eISSN: 2284-5623 | Journal ISSN: 1841-6624
Language: English
Page range: 141 - 149
Submitted on: Nov 29, 2021
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Accepted on: Apr 9, 2022
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Published on: May 9, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Fuxia Zhang, Fuchao Yu, Songsong Song, Hongfei Yang, Liangfa Shao, Jiayi Tong, published by Romanian Association of Laboratory Medicine
This work is licensed under the Creative Commons Attribution 4.0 License.