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COVID-19早期阶段常规生物标志物的预后价值

Prognostic Value of Routine Biomarkers in the Early Stage of COVID-19.

作者信息

Mihajlović Andrea, Ivanov David, Tapavički Borislav, Marković Milica, Vukas Dragana, Miljković Ana, Bajić Dejana, Semnic Isidora, Bogdan Maja, Karaba Jakovljević Dea, Nikolić Stanislava, Slavić Danijel, Lendak Dajana

机构信息

Department of Physiology, Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, 21137 Novi Sad, Serbia.

Health Centre Novi Sad, Bulevar Cara Lazara 75, 21102 Novi Sad, Serbia.

出版信息

Healthcare (Basel). 2023 Jul 26;11(15):2137. doi: 10.3390/healthcare11152137.

Abstract

Various biomarkers like certain complete blood cell count parameters and the derived ratios including neutrophil-lymphocyte ratio are commonly used to evaluate disease severity. Our study aimed to establish if baseline levels of complete blood cell count-derived biomarkers and CRP, measured before any treatment which can interfere with their values, could serve as a predictor of development of pneumonia and the need for hospitalization requiring oxygen therapy. We retrospectively analyzed the laboratory data of 200 consecutive patients without comorbidities, who denied usage of medications prior to blood analysis and visited a COVID-19 ambulance between October and December 2021. Multivariate regression analysis extracted older age, elevated CRP and lower eosinophil count as significant independent predictors of pneumonia ( = 0.003, = 0.000, = 0.046, respectively). Independent predictors of hospitalization were higher CRP ( = 0.000) and lower platelet count ( = 0.005). There was no significant difference in the neutrophil-lymphocyte and platelet-lymphocyte ratios between examined groups. Individual biomarkers such as platelet and eosinophil count might be better in predicting the severity of COVID-19 than the neutrophil-lymphocyte and platelet-lymphocyte ratios.

摘要

各种生物标志物,如某些全血细胞计数参数以及包括中性粒细胞与淋巴细胞比值在内的衍生比值,通常用于评估疾病严重程度。我们的研究旨在确定在任何可能干扰其数值的治疗之前测量的全血细胞计数衍生生物标志物和CRP的基线水平,是否可作为肺炎发生及需要住院接受氧疗的预测指标。我们回顾性分析了200例无合并症患者的实验室数据,这些患者在血液分析前否认使用药物,并于2021年10月至12月期间前往新冠救护车就诊。多因素回归分析得出,年龄较大、CRP升高和嗜酸性粒细胞计数较低是肺炎的显著独立预测因素(分别为 = 0.003、 = 0.000、 = 0.046)。住院的独立预测因素是较高的CRP( = 0.000)和较低的血小板计数( = 0.005)。各检查组之间的中性粒细胞与淋巴细胞比值及血小板与淋巴细胞比值无显著差异。血小板和嗜酸性粒细胞计数等个体生物标志物在预测新冠严重程度方面可能比中性粒细胞与淋巴细胞比值及血小板与淋巴细胞比值更好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aeda/10418955/835167d8f2a5/healthcare-11-02137-g001.jpg

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