Suppr超能文献

肿瘤坏死因子相关凋亡诱导配体、γ干扰素诱导蛋白 10 和 C 反应蛋白在预测 SARS-CoV-2 感染进展中的作用:一项前瞻性队列研究。

TNF-related apoptosis-inducing ligand, interferon gamma-induced protein 10, and C-reactive protein in predicting the progression of SARS-CoV-2 infection: a prospective cohort study.

机构信息

Centre for Infectious Diseases, Institute of Medical Microbiology and Hygiene, Saarland University, Homburg, Germany.

Department of Medicine V: Pneumology, Allergology and Intensive Care Medicine, ECLS Centre Saar, Saarland University Medical Centre, Saarland University, Homburg, Germany.

出版信息

Int J Infect Dis. 2022 Sep;122:178-187. doi: 10.1016/j.ijid.2022.05.051. Epub 2022 May 25.

Abstract

BACKGROUND

Early prognostication of COVID-19 severity will potentially improve patient care. Biomarkers, such as TNF-related apoptosis-inducing ligand (TRAIL), interferon gamma-induced protein 10 (IP-10), and C-reactive protein (CRP), might represent possible tools for point-of-care testing and severity prediction.

METHODS

In this prospective cohort study, we analyzed serum levels of TRAIL, IP-10, and CRP in patients with COVID-19, compared them with control subjects, and investigated the association with disease severity.

RESULTS

A total of 899 measurements were performed in 132 patients (mean age 64 years, 40.2% females). Among patients with COVID-19, TRAIL levels were lower (49.5 vs 87 pg/ml, P = 0.0142), whereas IP-10 and CRP showed higher levels (667.5 vs 127 pg/ml, P <0.001; 75.3 vs 1.6 mg/l, P <0.001) than healthy controls. TRAIL yielded an inverse correlation with length of hospital and intensive care unit (ICU) stay, Simplified Acute Physiology Score II, and National Early Warning Score, and IP-10 showed a positive correlation with disease severity. Multivariable regression revealed that obesity (adjusted odds ratio [aOR] 5.434, 95% confidence interval [CI] 1.005-29.38), CRP (aOR 1.014, 95% CI 1.002-1.027), and peak IP-10 (aOR 1.001, 95% CI 1.00-1.002) were independent predictors of in-ICU mortality.

CONCLUSIONS

We demonstrated a correlation between COVID-19 severity and TRAIL, IP-10, and CRP. Multivariable regression showed a role for IP-10 in predicting unfavourable outcomes, such as in-ICU mortality.

TRIAL REGISTRATION

Clinicaltrials.gov, NCT04655521.

摘要

背景

对 COVID-19 严重程度进行早期预测可能会改善患者的护理。肿瘤坏死因子相关凋亡诱导配体(TRAIL)、γ-干扰素诱导蛋白 10(IP-10)和 C 反应蛋白(CRP)等生物标志物可能是用于即时检测和严重程度预测的潜在工具。

方法

在这项前瞻性队列研究中,我们分析了 COVID-19 患者的血清 TRAIL、IP-10 和 CRP 水平,将其与对照组进行比较,并研究了与疾病严重程度的相关性。

结果

共对 132 例患者的 899 项测量结果进行了分析(平均年龄 64 岁,40.2%为女性)。与健康对照组相比,COVID-19 患者的 TRAIL 水平较低(49.5 与 87pg/ml,P=0.0142),而 IP-10 和 CRP 水平较高(667.5 与 127pg/ml,P<0.001;75.3 与 1.6mg/l,P<0.001)。TRAIL 与住院和重症监护病房(ICU)停留时间、简化急性生理学评分 II 和国家早期预警评分呈负相关,而 IP-10 与疾病严重程度呈正相关。多变量回归显示肥胖(调整后的优势比[aOR] 5.434,95%置信区间[CI] 1.005-29.38)、CRP(aOR 1.014,95% CI 1.002-1.027)和峰值 IP-10(aOR 1.001,95% CI 1.00-1.002)是 ICU 死亡率的独立预测因素。

结论

我们证明了 COVID-19 严重程度与 TRAIL、IP-10 和 CRP 之间存在相关性。多变量回归显示 IP-10 在预测不良结局(如 ICU 死亡率)方面具有作用。

临床试验注册

Clinicaltrials.gov,NCT04655521。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5251/9132472/6f863c7e9ceb/gr1_lrg.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验