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本文引用的文献

1
Higher level of neutrophil-to-lymphocyte is associated with severe COVID-19.中性粒细胞与淋巴细胞比值升高与 COVID-19 重症相关。
Epidemiol Infect. 2020 Jul 9;148:e139. doi: 10.1017/S0950268820001557.
2
The role of biomarkers in diagnosis of COVID-19 - A systematic review.生物标志物在 COVID-19 诊断中的作用 - 系统评价。
Life Sci. 2020 Aug 1;254:117788. doi: 10.1016/j.lfs.2020.117788. Epub 2020 May 13.
3
The role of interleukin-6 in monitoring severe case of coronavirus disease 2019.白细胞介素-6 在监测 2019 年冠状病毒病重症病例中的作用。
EMBO Mol Med. 2020 Jul 7;12(7):e12421. doi: 10.15252/emmm.202012421. Epub 2020 Jun 5.
4
Chronic obstructive pulmonary disease is associated with severe coronavirus disease 2019 (COVID-19).慢性阻塞性肺疾病与严重的2019冠状病毒病(COVID-19)相关。
Respir Med. 2020 Jun;167:105941. doi: 10.1016/j.rmed.2020.105941. Epub 2020 Mar 24.
5
Longitudinal hematologic and immunologic variations associated with the progression of COVID-19 patients in China.中国 COVID-19 患者病情进展相关的纵向血液学和免疫学变化。
J Allergy Clin Immunol. 2020 Jul;146(1):89-100. doi: 10.1016/j.jaci.2020.05.003. Epub 2020 May 11.
6
Eosinopenia and elevated C-reactive protein facilitate triage of COVID-19 patients in fever clinic: A retrospective case-control study.嗜酸性粒细胞减少和C反应蛋白升高有助于发热门诊对COVID-19患者进行分诊:一项回顾性病例对照研究。
EClinicalMedicine. 2020 May 3;23:100375. doi: 10.1016/j.eclinm.2020.100375. eCollection 2020 Jun.
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Longitudinal characteristics of lymphocyte responses and cytokine profiles in the peripheral blood of SARS-CoV-2 infected patients.SARS-CoV-2 感染患者外周血淋巴细胞反应和细胞因子谱的纵向特征。
EBioMedicine. 2020 May;55:102763. doi: 10.1016/j.ebiom.2020.102763. Epub 2020 Apr 18.
8
Eosinophil responses during COVID-19 infections and coronavirus vaccination.COVID-19 感染和冠状病毒疫苗接种期间的嗜酸性粒细胞反应。
J Allergy Clin Immunol. 2020 Jul;146(1):1-7. doi: 10.1016/j.jaci.2020.04.021. Epub 2020 Apr 25.
9
Abnormalities of peripheral blood system in patients with COVID-19 in Wenzhou, China.中国温州地区 COVID-19 患者外周血象系统的异常。
Clin Chim Acta. 2020 Aug;507:174-180. doi: 10.1016/j.cca.2020.04.024. Epub 2020 Apr 24.
10
COVID-19 and the clinical hematology laboratory.新型冠状病毒肺炎与临床血液学实验室
Int J Lab Hematol. 2020 Jun;42 Suppl 1(Suppl 1):11-18. doi: 10.1111/ijlh.13229.

血液学参数在 COVID-19 和流感病毒感染患者中的作用。

The role of haematological parameters in patients with COVID-19 and influenza virus infection.

机构信息

Department of Infectious Diseases and Clinical Microbiology, Ministry of Health Ankara City Hospital, Ankara, Turkey.

Department of Infectious Diseases and Clinical Microbiology, Ankara City Hospital, Health Science University Turkey, Ankara, Turkey.

出版信息

Epidemiol Infect. 2020 Nov 5;148:e272. doi: 10.1017/S095026882000271X.

DOI:10.1017/S095026882000271X
PMID:33148349
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7683813/
Abstract

SARS-CoV-2, the causative agent of coronavirus disease 19 (COVID-19), was identified in Wuhan, China. Since then, the novel coronavirus started to be compared to influenza. The haematological parameters and inflammatory indexes are associated with severe illness in COVID-19 patients. In this study, the laboratory data of 120 COVID-19 patients, 100 influenza patients and 61 healthy controls were evaluated. Lower lymphocytes, eosinophils, basophils, platelets and higher delta neutrophil index (DNI), neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were found in COVID-19 and influenza groups compared to healthy controls. The eosinophils, lymphocytes and PLR made the highest contribution to differentiate COVID-19 patients from healthy controls (area under the curves (AUCs): 0.819, 0.817 and 0.716, respectively; P-value is <0.0001 for all). The NLR, the optimal cut-off value was 3.58, which resulted in a sensitivity of 30.8 and a specificity of 100 (AUC: 0.677, P < 0.0001). Higher leucocytes, neutrophils, DNI, NLR, PLR and lower lymphocytes, red blood cells, haemoglobin, haematocrit levels were found in severe patients at the end of treatment. Nonsevere patients showed an upward trend for lymphocytes, eosinophils and platelets, and a downward trend for neutrophils, DNI, NLR and PLR. However, there was an increasing trend for eosinophils, platelets and PLR in severe patients. In conclusion, NLR and PLR can be used as biomarkers to distinguish COVID-19 patients from healthy people and to predict the severity of COVID-19. The increasing value of PLR during follow-up may be more useful compared to NLR to predict the disease severity.

摘要

SARS-CoV-2,即导致 2019 年冠状病毒病(COVID-19)的病原体,在中国武汉被发现。自那时以来,新型冠状病毒开始与流感进行比较。COVID-19 患者的血液学参数和炎症指标与重症疾病相关。在这项研究中,评估了 120 名 COVID-19 患者、100 名流感患者和 61 名健康对照者的实验室数据。与健康对照组相比,COVID-19 和流感组的淋巴细胞、嗜酸性粒细胞、嗜碱性粒细胞、血小板较低,而中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)和 delta 中性粒细胞指数(DNI)较高。嗜酸性粒细胞、淋巴细胞和 PLR 对区分 COVID-19 患者和健康对照组的贡献最大(曲线下面积(AUC):0.819、0.817 和 0.716;所有 P 值均 <0.0001)。NLR 的最佳截断值为 3.58,其灵敏度为 30.8%,特异性为 100%(AUC:0.677,P < 0.0001)。在治疗结束时,重症患者的白细胞、中性粒细胞、DNI、NLR、PLR 较高,而淋巴细胞、红细胞、血红蛋白、红细胞压积水平较低。非重症患者的淋巴细胞、嗜酸性粒细胞和血小板呈上升趋势,而中性粒细胞、DNI、NLR 和 PLR 呈下降趋势。然而,重症患者的嗜酸性粒细胞、血小板和 PLR 呈上升趋势。总之,NLR 和 PLR 可作为生物标志物来区分 COVID-19 患者和健康人群,并预测 COVID-19 的严重程度。与 NLR 相比,PLR 在随访期间的升高值可能更有助于预测疾病的严重程度。