Efficacy of serum apelin and galectin‐3 as potential predictors of mortality in severe COVID‐19 patients

Author:

Berber Nurcan Kırıcı1ORCID,Geçkil Ayşegül Altıntop1ORCID,Altan Nazife Özge2,Kıran Tuğba Raika3,Otlu Önder3,Erdem Mehmet3,İn Erdal1ORCID

Affiliation:

1. Department of Chest Diseases Malatya Turgut Özal University Faculty of Medicine Malatya Turkey

2. Department of Chest Diseases Tunceli State Hospital Tunceli Turkey

3. Department of Biochemistry Malatya Turgut Özal University Faculty of Medicine Malatya Turkey

Abstract

AbstractApelin is a cardioprotective biomarker while galectin‐3 is a pro‐inflammatory and profibrotic biomarker. Endothelial dysfunction, hyperinflammation, and pulmonary fibrosis are key mechanisms that contribute to the development of adverse outcomes in Coronavirus disease 2019 (COVID‐19) infection. This study aims to analyze the prognostic value of serum apelin and galectin‐3 levels to early predict patients at high risk of mortality in patients hospitalized for severe COVID‐19 pneumonia. The study included 78 severe COVID‐19 patients and 40 healthy controls. The COVID‐19 patients were divided into two groups, survivors and nonsurvivors, according to their in‐hospital mortality status. Basic demographic and clinical data of all patients were collected, and blood samples were taken before treatment. In our study, serum apelin levels were determined to be significantly lower in both nonsurvivor and survivor COVID‐19 patients compared to the control subjects (for both groups, p < 0.001). However, serum apelin levels were similar in survivor and nonsurvivor COVID‐19 patients (p > 0.05). Serum galectin‐3 levels were determined to be higher in a statistically significant way in nonsurvivors compared to survivors and controls (for both groups; p < 0.001). Additionally, serum galectin‐3 levels were significantly higher in the survivor patients compared to the control subjects (p < 0.001). Positive correlations were observed between galectin‐3 and age, ferritin, CK‐MB and NT‐proBNP variables (r = 0.32, p = 0.004; r = 0.24, p = 0.04; r = 0.24, p = 0.03; and r = 0.33, p = 0.003, respectively) while a negative correlation was observed between galectin‐3 and albumin (r = −0.31, p = 0.006). Multiple logistic regression analysis revealed that galectin‐3 was an independent predictor of mortality in COVID‐19 patients (odds ratio [OR] = 2.272, 95% confidence interval [CI] = 1.106–4.667; p = 0.025). When the threshold value for galectin‐3 was regarded as 2.8 ng/ml, it was discovered to predict mortality with 80% sensitivity and 57% specificity (area under the curve = 0.738, 95% CI = 0.611–0.866, p = 0.002). Galectin‐3 might be a simple, useful, and prognostic biomarker that can be utilized to predict patients who are at high risk of mortality in severe COVID‐19 patients.

Publisher

Wiley

Subject

Infectious Diseases,Virology

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3