Di Wang , Yutao Shen , Jianbo Wu , Yaju Li , Ke Ma , Guangjie Jiang , Xiangyu Li , Huanhuan Qin , Kun Chen , Zhiyuan Wu , Ming Guan
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The Mann-Whitney <em>U</em> test explored the association between plasma N protein and COVID-19 severity or prognosis. Longitudinal monitoring of plasma N protein dynamics was conducted in representative patients.</p></div><div><h3>Results</h3><p>MAG-CLIA demonstrated precise quantification of plasma N protein with a CV below 10 % and minimal interference. The LoQ was 0.88 ng/L, with a broad linear range. Plasma N protein showed high diagnostic accuracy for COVID-19, achieving 95.42 % specificity and 78.32 % sensitivity at 2.388 ng/L. Plasma N protein emerged as a valuable prognostic indicator, correlating with mechanical ventilation need and patient survival. Plasma N protein concentrations ≥ 424.3 ng/L (AUC 0.8102, sensitivity 78.38 %, specificity 85.48 %) were associated with poor prognosis in severe COVID-19 patients with comorbidities.</p></div><div><h3>Conclusions</h3><p>MAG-CLIA’s SARS-CoV-2 N protein detection in plasma demonstrates both analytical reliability and clinical relevance in our inaugural evaluation. As a promising prognostic biomarker for severe COVID-19 patients, it offers crucial insights into disease severity and progression, emphasizing the significance of early monitoring and intervention, especially for patients with comorbidities.</p></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Utility of plasma nucleocapsid protein in predicting severity and prognosis in severe COVID-19 patients with comorbidities\",\"authors\":\"Di Wang , Yutao Shen , Jianbo Wu , Yaju Li , Ke Ma , Guangjie Jiang , Xiangyu Li , Huanhuan Qin , Kun Chen , Zhiyuan Wu , Ming Guan\",\"doi\":\"10.1016/j.cca.2024.119951\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><p>The COVID-19 pandemic poses ongoing challenges to global public health systems, emphasizing the critical necessity for efficient diagnostic and prognostic markers. 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引用次数: 0
摘要
目标:COVID-19 大流行给全球公共卫生系统带来了持续的挑战,强调了高效诊断和预后标记物的重要性。本研究评估了 MAGLUMI® SARS-CoV-2 Ag N 蛋白化学发光免疫测定(MAG-CLIA)的分析性能及其在预测伴有合并症的严重 COVID-19 患者的疾病严重程度和预后方面的作用:血浆 MAG-CLIA SARS-CoV-2 Ag N 蛋白的分析验证包括精确度、干扰、LoQ 和线性。在入院 48 小时内测定血浆 N 蛋白浓度和其他生物标记物,并追踪至患者出院或死亡。曼-惠特尼U检验探讨了血浆N蛋白与COVID-19严重程度或预后之间的关系。对具有代表性的患者进行了血浆N蛋白动态纵向监测:结果:MAG-CLIA 能精确定量血浆 N 蛋白,CV 值低于 10%,干扰极小。LoQ 为 0.88 ng/L,线性范围宽。血浆 N 蛋白对 COVID-19 的诊断准确率很高,在 2.388 纳克/升时,特异性为 95.42%,灵敏度为 78.32%。血浆 N 蛋白是一个有价值的预后指标,与机械通气需求和患者存活率相关。血浆N蛋白浓度≥424.3纳克/升(AUC 0.8102,敏感性78.38%,特异性85.48%)与合并症严重的COVID-19患者预后不良有关:MAG-CLIA对血浆中SARS-CoV-2 N蛋白的检测在我们的首次评估中证明了分析的可靠性和临床相关性。作为重症 COVID-19 患者有希望的预后生物标志物,它为了解疾病的严重程度和进展提供了重要依据,强调了早期监测和干预的重要性,尤其是对合并症患者。
Utility of plasma nucleocapsid protein in predicting severity and prognosis in severe COVID-19 patients with comorbidities
Objectives
The COVID-19 pandemic poses ongoing challenges to global public health systems, emphasizing the critical necessity for efficient diagnostic and prognostic markers. This study evaluates the MAGLUMI® SARS-CoV-2 Ag N protein chemiluminescent immunoassay (MAG-CLIA) for its analytical performance and its role in predicting disease severity and prognosis among severe COVID-19 patients with comorbidities.
Methods
Analytical validation of plasma MAG-CLIA SARS-CoV-2 Ag N protein encompassed precision, interference, LoQ and linearity. Plasma N protein concentrations and other biomarkers were measured within 48 h of admission, tracked until discharge or death. The Mann-Whitney U test explored the association between plasma N protein and COVID-19 severity or prognosis. Longitudinal monitoring of plasma N protein dynamics was conducted in representative patients.
Results
MAG-CLIA demonstrated precise quantification of plasma N protein with a CV below 10 % and minimal interference. The LoQ was 0.88 ng/L, with a broad linear range. Plasma N protein showed high diagnostic accuracy for COVID-19, achieving 95.42 % specificity and 78.32 % sensitivity at 2.388 ng/L. Plasma N protein emerged as a valuable prognostic indicator, correlating with mechanical ventilation need and patient survival. Plasma N protein concentrations ≥ 424.3 ng/L (AUC 0.8102, sensitivity 78.38 %, specificity 85.48 %) were associated with poor prognosis in severe COVID-19 patients with comorbidities.
Conclusions
MAG-CLIA’s SARS-CoV-2 N protein detection in plasma demonstrates both analytical reliability and clinical relevance in our inaugural evaluation. As a promising prognostic biomarker for severe COVID-19 patients, it offers crucial insights into disease severity and progression, emphasizing the significance of early monitoring and intervention, especially for patients with comorbidities.
期刊介绍:
The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells.
The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.