Prognostic value of soluble urokinase plasminogen activator receptor (suPAR) in patients admitted with acute heart failure

医学 苏帕 尿激酶 内科学 心脏病学 心力衰竭 受体 尿激酶受体
作者
A Kandiah,I Taraldsen,Mohammed El‐Sheikh,Nora Olsen El Caidi,F Dencker Wisborg,Jens Dahlgaard Hove,Johannes Grand
出处
期刊:European Heart Journal [Oxford University Press]
卷期号:45 (Supplement_1)
标识
DOI:10.1093/eurheartj/ehae666.977
摘要

Abstract Introduction The inflammatory marker, soluble urokinase plasminogen activator receptor (suPAR), has emerged as a promising prognostic biomarker of heart failure (HF). Higher levels of suPAR in plasma are indicative of hospital readmissions and mortality. Currently little is known about suPAR-values upon admission in patients with acute heart failure (AHF). Purpose This study investigates the prevalence of elevated suPAR and prognostic value in patients hospitalized with AHF. Methods In this prospective cohort study, all patients ≥ 18 years old admitted at the Emergency Department at a large University Hospital in Denmark, were consecutively included from March 10, 2020, to March 31, 2022. The follow-up period was 365 days. The biomarker suPAR was measured in all patients upon admission (median time from admission to suPAR measurement was two hours (IQR 3: 3,9-6,9)). Patient data was extracted from the electronic patient record system, and a cardiologist adjudicated whether the patients had AHF. Patients were stratified according to validated cut-off values of suPAR above or below 6 ng/mL. Kaplan-Meier survival analysis and Cox Regression were used to assess the association between suPAR levels and one-year mortality outcomes. Results A total of 408 (5%) AHF patients, from a total population of 6,715, were included in the study. 40 patients were excluded due to missing suPAR-values and the final analysis comprised of 368 AHF patients. Among AHF patients upon admission, the mean suPAR value was 6.2 ng/mL (standard deviation [SD] = 4.8 ng/mL), and non-AHF patients had a mean value of 4.5 ng/mL (SD = 3.1 ng/mL). A suPAR level above 6 ng/mL was significantly associated with mortality (figure 1), log-rank test p-value < 0.0001. Furthermore, Cox regression analysis demonstrated that elevated suPAR levels were independently associated with increased risk of mortality with a hazard ratio (HR): 2.09 (95% CI: 1.59-2.90), p-value < 0.001 after adjusting for potential confounders: age, sex, atrial fibrillation, Chronic Obstructive Pulmonary Disease, and Creatinine levels. Conclusion The inflammatory biomarker suPAR measured upon hospital admission in AHF patients is significantly associated with one-year mortality in patients admitted with AHF. The potential of suPAR as a valuable prognostic marker in AHF is offering clinicians a tool to identify high-risk patients and tailor management strategies, accordingly, thereby improving patient outcomes.Figure 1 - 1 year mortality
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
豆豆完成签到,获得积分10
1秒前
英勇皮卡丘完成签到,获得积分10
1秒前
无限灵松完成签到,获得积分10
1秒前
2秒前
zhu发布了新的文献求助10
2秒前
zzz发布了新的文献求助10
3秒前
温婉的凝雁完成签到,获得积分10
4秒前
爆米花应助小航爱学习采纳,获得10
4秒前
MQRR发布了新的文献求助10
4秒前
Ava应助一把过采纳,获得10
5秒前
无限灵松发布了新的文献求助10
5秒前
6秒前
干净的琦应助Cyaccc采纳,获得30
6秒前
6秒前
酷炫不斜完成签到 ,获得积分10
7秒前
10秒前
Maybe发布了新的文献求助20
10秒前
seedcode完成签到,获得积分10
11秒前
地球发布了新的文献求助10
11秒前
微风完成签到,获得积分10
12秒前
邹邹发布了新的文献求助10
12秒前
chen关注了科研通微信公众号
13秒前
13秒前
15秒前
烟花应助歇儿哒哒采纳,获得10
15秒前
镜子小子完成签到,获得积分10
16秒前
16秒前
CC发布了新的文献求助10
16秒前
所所应助光影采纳,获得10
18秒前
大星完成签到,获得积分10
18秒前
19秒前
共享精神应助iiiorange采纳,获得10
19秒前
20秒前
星辰大海应助guo采纳,获得10
20秒前
20秒前
3333发布了新的文献求助10
21秒前
义气飞机完成签到,获得积分10
21秒前
12A发布了新的文献求助10
22秒前
chen发布了新的文献求助10
24秒前
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443580
求助须知:如何正确求助?哪些是违规求助? 8257418
关于积分的说明 17586894
捐赠科研通 5502274
什么是DOI,文献DOI怎么找? 2900939
邀请新用户注册赠送积分活动 1877987
关于科研通互助平台的介绍 1717534