CBS 2019
CBSMD教育中心
中 文

Congestive Heart Failure

Abstract

Recommended Article

2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure Noninvasive Imaging for the Evaluation of Diastolic Function: Promises Fulfilled Proteomics to Improve Phenotyping in Obese Patients with Heart Failure with Preserved Ejection Fraction Effect of SGLT2-Inhibitors on Epicardial Adipose Tissue: A Meta-Analysis 21st Century CE: The New Iron Age? Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure Heart Failure With Improved Ejection Fraction-Is it Possible to Escape One’s Past? Universal Definition and Classification of Heart Failure: A Report of the Heart Failure Society of America, Heart Failure Association of the European Society of Cardiology, Japanese Heart Failure Society and Writing Committee of the Universal Definition of Heart Failure

Original ResearchVolume 73, Issue 18, 14 May 2019, Pages 2286-2295

JOURNAL:J Am Coll Cardiol. Article Link

Galectin-3 Levels and Outcomes After Myocardial Infarction: A Population-Based Study

R Asleh, M Enriquez-Sarano, AS Jaffe et al. Keywords: biomarkers; galectin-3; HF; mortality; MI; population-based study

ABSTRACT

 

BACKGROUND -  Galectin-3 (Gal-3) is implicated in cardiac fibrosis, but its association with adverse outcomes after myocardial infarction (MI) is unknown.

 

OBJECTIVES -  The purpose of this study was to examine the prognostic value of Gal-3 in a community cohort of incident MI.

 

METHODS -  A population-based incidence MI cohort was prospectively assembled in Olmsted County, Minnesota, between 2002 and 2012. Gal-3 levels were measured at the time of MI. Patients were followed for heart failure (HF) and death.

 

RESULTS -  A total of 1,342 patients were enrolled (mean age 67.1 years; 61.3% male; 78.8% non-ST-segment elevation MI). Patients with elevated Gal-3 were older and had more comorbidities. Over a mean follow-up of 5.4 years, 484 patients (36.1%) died and 368 (27.4%) developed HF. After adjustment for age, sex, comorbidities, and troponin, patients with Gal-3 values in tertiles 2 and 3 had a 1.3-fold (95% confidence interval [CI]: 0.9-fold to 1.7-fold) and a 2.4-fold (95% CI: 1.8-fold to 3.2-fold) increased risk of death, respectively (ptrend < 0.001) compared with patients with Gal-3 values in tertile 1. Patients with Gal-3 values in tertiles 2 and 3 had a higher risk of HF with hazard ratios of 1.4 (95% CI: 1.0 to 2.0) and 2.3 (95% CI: 1.6 to 3.2), respectively (ptrend < 0.001). With further adjustment for soluble suppression of tumorigenicity-2, elevated Gal-3 remained associated with increased risk of death and HF. The increased risk of HF did not differ by HF type and was independent of the occurrence of recurrent MI.

 

CONCLUSIONS -  Gal-3 is an independent predictor of mortality and HF post-MI. These findings suggest a role for measuring Gal-3 levels for risk stratification post-MI.