Urine Neutrophil Elastase: A Novel Predictor of ICU Admission for Patients with COVID-19 Infection.

IF 4.2 2区 医学 Q2 IMMUNOLOGY
Journal of Inflammation Research Pub Date : 2025-04-24 eCollection Date: 2025-01-01 DOI:10.2147/JIR.S503276
Yu Song, Kai Zeng, Li-Kun Zhang, Jian-Nan Zhang, Kai-Li Zhang, Yu Xin, Xin-Ran Wang, Yu-Xin Zhou, Hong-Xu Li, Chang-Song Wang, Kai-Jiang Yu
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引用次数: 0

Abstract

Introduction: We aimed to explore the differences of neutrophil elastase (NE) levels between intensive care unit (ICU) and non-ICU patients with COVID-19 infection, as well as its predictive value for COVID-19 progression.

Methods: We enrolled the patients admitted with a primary diagnosis of COVID-19. All patients in ICU were diagnosed with the critical type upon admission. Blood was taken within 24 hours, followed by examination of the blood NE level and urine NE level. Other clinical features were recorded. A logistic regression model was used to predict ICU admission.

Results: A total of 83 patients were diagnosed, including 52 non-ICU cases and 31 ICU cases. The ICU group showed significantly elevated levels of Neutrophil%, Cr, D-dimer (DD), Procalcitonin (PCT), and C-reactive protein (CRP). Meanwhile, the CD3-cell, T4-cell, and Lymphocyte% levels were lower in the ICU group. Notably, the blood NE levels were similar between groups, whereas the urine NE level was highly significantly higher in the ICU group vs the non-ICU group. After dimension reduction, we constructed a logistic model (UD) using only two factors: the urine NE level and the blood DD level. The overall accuracy of was 86.1%. The urine NE has a strong efficacy in ICU prediction (AUC = 0.893), and the performance of the UD model was even better (AUC = 0.933).

Conclusion: Urine NE level is a useful predictor of COVID-19 progression, particularly in patients requiring ICU care. Urine NE has a significantly positive correlation with neutrophil%, DD, and PCT, as well as a negative correlation with lymphocyte levels.

尿中性粒细胞弹性酶:预测COVID-19感染患者入住ICU的新指标
前言:我们旨在探讨重症监护病房(ICU)和非ICU感染的COVID-19患者中性粒细胞弹性蛋白酶(NE)水平的差异及其对COVID-19进展的预测价值。方法:纳入初步诊断为COVID-19的住院患者。ICU患者入院时均诊断为危重型。24小时内采血,随后检测血NE和尿NE水平。记录其他临床特征。采用logistic回归模型预测ICU住院情况。结果:共确诊83例,其中非ICU 52例,ICU 31例。ICU组中性粒细胞%、Cr、d -二聚体(DD)、降钙素原(PCT)、c反应蛋白(CRP)水平均显著升高。同时,ICU组cd3细胞、t4细胞和淋巴细胞%水平较低。值得注意的是,两组间血液NE水平相似,而ICU组尿液NE水平明显高于非ICU组。在降维后,我们构建了一个仅使用两个因素的logistic模型(UD):尿NE水平和血DD水平。总体准确率为86.1%。尿NE预测ICU疗效较强(AUC = 0.893), UD模型效果更佳(AUC = 0.933)。结论:尿NE水平是COVID-19进展的有效预测指标,特别是在需要ICU护理的患者中。尿NE与中性粒细胞%、DD、PCT呈显著正相关,与淋巴细胞水平呈负相关。
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来源期刊
Journal of Inflammation Research
Journal of Inflammation Research Immunology and Microbiology-Immunology
CiteScore
6.10
自引率
2.20%
发文量
658
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
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