Circulating glypican-4 is a new predictor of all-cause mortality in patients with heart failure

IF 2.5 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinical biochemistry Pub Date : 2023-10-14 DOI:10.1016/j.clinbiochem.2023.110675
Axel Muendlein , Christine Heinzle , Andreas Leiherer , Eva Maria Brandtner , Kathrin Geiger , Stella Gaenger , Peter Fraunberger , Arthur Mader , Christoph H. Saely , Heinz Drexel
{"title":"Circulating glypican-4 is a new predictor of all-cause mortality in patients with heart failure","authors":"Axel Muendlein ,&nbsp;Christine Heinzle ,&nbsp;Andreas Leiherer ,&nbsp;Eva Maria Brandtner ,&nbsp;Kathrin Geiger ,&nbsp;Stella Gaenger ,&nbsp;Peter Fraunberger ,&nbsp;Arthur Mader ,&nbsp;Christoph H. Saely ,&nbsp;Heinz Drexel","doi":"10.1016/j.clinbiochem.2023.110675","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Heart failure confers a high burden of morbidity and mortality. However, risk prediction in heart failure patients still is limited. Blood-based biomarkers hold promise to improve clinical risk assessment. Recently we have identified circulating glypican-4 (GPC4) as a significant predictor of mortality in coronary angiography patients and patients with peripheral artery disease. The impact of serum GPC4 on mortality in patients with heart failure is unknown and is addressed in this prospective cohort study.</p></div><div><h3>Methods</h3><p>We prospectively recorded all-cause mortality in 288 patients with heart failure. GPC4 levels were measured using an enzyme-linked immunosorbent assay at baseline.</p></div><div><h3>Results</h3><p>During the 24-month follow-up period, 28.1% (n = 81) of the patients died. Serum GPC4 significantly predicted all-cause mortality (hazard ratio (HR) per doubling<!--> <!-->of GPC4 = 3.57 [2.31–5.53]; <em>P</em> &lt; 0.001). Subgroup analysis showed that GPC4 was significantly associated with all-cause mortality in patients with reduced ejection fraction (HR per doubling = 3.25 [1.75–6.04]; <em>P</em> &lt; 0.001) as well as in those with preserved ejection fraction (HR per doubling = 3.07 [1.22–7.70]; <em>P</em> = 0.017). The association between serum GPC4 and all-cause mortality remained significant in multivariable Cox regression analysis correcting for traditional risk factors (<em>P</em> = 0.035). Results from C-statistics indicated an additional prognostic value of GPC4 relative to NT-proBNP for the prediction of two-year all-cause mortality (<em>P</em> = 0.030).</p></div><div><h3>Conclusion</h3><p>Circulating GPC4 independently predicts all-cause mortality in patients with heart failure.</p></div>","PeriodicalId":10172,"journal":{"name":"Clinical biochemistry","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical biochemistry","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009912023002035","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Heart failure confers a high burden of morbidity and mortality. However, risk prediction in heart failure patients still is limited. Blood-based biomarkers hold promise to improve clinical risk assessment. Recently we have identified circulating glypican-4 (GPC4) as a significant predictor of mortality in coronary angiography patients and patients with peripheral artery disease. The impact of serum GPC4 on mortality in patients with heart failure is unknown and is addressed in this prospective cohort study.

Methods

We prospectively recorded all-cause mortality in 288 patients with heart failure. GPC4 levels were measured using an enzyme-linked immunosorbent assay at baseline.

Results

During the 24-month follow-up period, 28.1% (n = 81) of the patients died. Serum GPC4 significantly predicted all-cause mortality (hazard ratio (HR) per doubling of GPC4 = 3.57 [2.31–5.53]; P < 0.001). Subgroup analysis showed that GPC4 was significantly associated with all-cause mortality in patients with reduced ejection fraction (HR per doubling = 3.25 [1.75–6.04]; P < 0.001) as well as in those with preserved ejection fraction (HR per doubling = 3.07 [1.22–7.70]; P = 0.017). The association between serum GPC4 and all-cause mortality remained significant in multivariable Cox regression analysis correcting for traditional risk factors (P = 0.035). Results from C-statistics indicated an additional prognostic value of GPC4 relative to NT-proBNP for the prediction of two-year all-cause mortality (P = 0.030).

Conclusion

Circulating GPC4 independently predicts all-cause mortality in patients with heart failure.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
循环glypian-4是心力衰竭患者全因死亡率的一个新的预测指标。
背景:心力衰竭造成了较高的发病率和死亡率。然而,对心力衰竭患者的风险预测仍然有限。基于血液的生物标志物有望改善临床风险评估。最近,我们发现循环糖蛋白-4(GPC4)是冠状动脉造影患者和外周动脉疾病患者死亡率的重要预测因子。血清GPC4对心力衰竭患者死亡率的影响尚不清楚,本前瞻性队列研究对此进行了研究。方法:我们前瞻性地记录了288例心力衰竭患者的全因死亡率。在基线时使用酶联免疫吸附测定法测量GPC4水平。结果:在24个月的随访期间,28.1%(n = 81例)患者死亡。血清GPC4可显著预测全因死亡率(GPC4每双盲的风险比(HR)) = 3.57[2.31-5.53];P 结论:循环GPC4可独立预测心力衰竭患者的全因死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Clinical biochemistry
Clinical biochemistry 医学-医学实验技术
CiteScore
5.10
自引率
0.00%
发文量
151
审稿时长
25 days
期刊介绍: Clinical Biochemistry publishes articles relating to clinical chemistry, molecular biology and genetics, therapeutic drug monitoring and toxicology, laboratory immunology and laboratory medicine in general, with the focus on analytical and clinical investigation of laboratory tests in humans used for diagnosis, prognosis, treatment and therapy, and monitoring of disease.
期刊最新文献
Challenges and Perspectives on the Adoption of Cystatin C testing in China: A laboratory technician’s perspective Quantitative evaluation of adalimumab and anti-adalimumab antibodies in sera using a surface plasmon resonance biosensor Inflammation and lipoperoxidation in mucopolysaccharidoses type II patients at diagnosis and post-hematopoietic stem cell transplantation. Multidisciplinary approach to redefining thyroid hormone reference intervals with big data analysis Relationship between analytical imprecision and coefficient of determination (R2) of the calibration curve
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1