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抗 SARS-CoV-2 滴度预测 COVID-19 的严重程度。

Anti-SARS-CoV-2 Titers Predict the Severity of COVID-19.

机构信息

Institute of Microbiology, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.

Infectious Diseases Service, Lausanne University Hospital, University of Lausanne, 1011 Lausanne, Switzerland.

出版信息

Viruses. 2022 May 18;14(5):1089. doi: 10.3390/v14051089.

DOI:10.3390/v14051089
PMID:35632830
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9143418/
Abstract

Coronavirus disease 2019 (COVID-19) due to SARS-CoV-2 is associated with a wide spectrum of disease, ranging from asymptomatic infection to acute respiratory distress syndrome. Some biomarkers may predict disease severity. Among them, the anti-SARS-CoV-2 antibody response has been related to severe disease. The aim of this study was to assess the correlation between the anti-SARS-CoV-2 serological response and COVID-19 outcome. Demographic, clinical, and biological data from nasopharyngeal-PCR confirmed COVID-19 hospitalized patients were prospectively collected between April and August 2020 at our institution. All patients had serial weekly serology testing for a maximum of three blood samples or until discharge. Two different serological assays were used: a chemiluminescent assay and an in-house developed Luminex immunoassay. Kinetics of the serological response and correlation between the antibody titers and outcome were assessed. Among the 70 patients enrolled in the study, 22 required invasive ventilation, 29 required non-invasive ventilation or oxygen supplementation, and 19 did not require any oxygen supplementation. Median duration of symptoms upon admission for the three groups were 13, 8, and 9 days, respectively. Antibody titers gradually increased for up to 3 weeks since the onset of symptoms for patients requiring oxygen supplementation with significantly higher antibody titers for patients requiring invasive ventilation. Antibody titers on admission were also significantly higher in severely ill patients and serology performed well in predicting the necessity of invasive ventilation (AUC: 0.79, 95% CI: 0.67-0.9). Serology testing at admission may be a good indicator to identify severe COVID-19 patients who will require invasive mechanical ventilation.

摘要

新型冠状病毒病 2019(COVID-19)由 SARS-CoV-2 引起,其疾病谱广泛,从无症状感染到急性呼吸窘迫综合征不等。一些生物标志物可能预测疾病的严重程度。其中,抗 SARS-CoV-2 抗体反应与严重疾病有关。本研究旨在评估抗 SARS-CoV-2 血清学反应与 COVID-19 结局之间的相关性。2020 年 4 月至 8 月,在我院前瞻性收集了经鼻咽部-PCR 确诊的 COVID-19 住院患者的人口统计学、临床和生物学数据。所有患者均每周进行一次血清学检测,最多采集 3 份血样或直至出院。使用了两种不同的血清学检测方法:化学发光法和内部开发的 Luminex 免疫分析法。评估了血清学反应的动力学以及抗体滴度与结局之间的相关性。在纳入研究的 70 名患者中,22 名需要有创通气,29 名需要无创通气或氧疗,19 名不需要任何氧疗。三组患者入院时的症状中位持续时间分别为 13、8 和 9 天。对于需要吸氧的患者,抗体滴度在症状出现后长达 3 周内逐渐升高,需要有创通气的患者抗体滴度显著更高。入院时的抗体滴度也在重症患者中显著升高,血清学检测在预测有创通气的必要性方面表现良好(AUC:0.79,95%CI:0.67-0.9)。入院时的血清学检测可能是识别需要有创机械通气的严重 COVID-19 患者的良好指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310d/9143418/0d69ed9bac9d/viruses-14-01089-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310d/9143418/0007158f6f80/viruses-14-01089-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310d/9143418/033c580cec2d/viruses-14-01089-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310d/9143418/bdfd7f6ff4d5/viruses-14-01089-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310d/9143418/0d69ed9bac9d/viruses-14-01089-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310d/9143418/0007158f6f80/viruses-14-01089-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310d/9143418/033c580cec2d/viruses-14-01089-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310d/9143418/bdfd7f6ff4d5/viruses-14-01089-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310d/9143418/0d69ed9bac9d/viruses-14-01089-g004.jpg

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