BMC Cardiovascular Disorders (Sep 2022)

Circulating plasma galectin-3 predicts new-onset atrial fibrillation in patients after acute myocardial infarction during hospitalization

  • Qianhui Wang,
  • Wei Huai,
  • Xiaoguang Ye,
  • Yuxia Pan,
  • Xinchun Yang,
  • Mulei Chen,
  • Qing-Bian Ma,
  • Yuanfeng Gao,
  • Yuan Zhang

DOI
https://doi.org/10.1186/s12872-022-02827-y
Journal volume & issue
Vol. 22, no. 1
pp. 1 – 7

Abstract

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Abstract Background New-onset atrial fibrillation (NOAF) is a common complication in patients with acute myocardial infarction (AMI) during hospitalization. Galectin-3 (Gal-3) is a novel inflammation marker that is significantly associated with AF. The association between post-AMI NOAF and Gal-3 during hospitalization is yet unclear. Objective The present study aimed to investigate the predictive value of plasma Gal-3 for post-AMI NOAF. Methods A total of 217 consecutive patients admitted with AMI were included in this retrospective study. Peripheral venous blood samples were obtained within 24 h after admission and plasma Gal-3 concentrations were measured. Results Post-AMI NOAF occurred in 18 patients in this study. Patients with NOAF were older (p < 0.001) than those without. A higher level of the peak brain natriuretic peptide (BNP) (p < 0.001) and Gal-3 (p < 0.001) and a lower low-density lipoprotein cholesterol level (LDL-C) (p = 0.030), and an estimated glomerular filtration rate (e-GFR) (p = 0.030) were recorded in patients with post-AMI NOAF. Echocardiographic information revealed that patients with NOAF had a significantly decreased left ventricular eject fraction (LVEF) (p < 0.001) and an increased left atrial diameter (LAD) (p = 0.004) than those without NOAF. The receiver operating characteristic (ROC) curve analysis revealed a significantly higher value of plasma Gal-3 in the diagnosis of NOAF for patients with AMI during hospitalization (area under the curve (p < 0.001), with a sensitivity of 72.22% and a specificity of 72.22%, respectively. Multivariate logistic regression model analysis indicated that age (p = 0.045), plasma Gal-3 (p = 0.018), and LAD (p = 0.014) were independent predictors of post-MI NOAF. Conclusions Plasma Gal-3 concentration is an independent predictor of post-MI NOAF.

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