2019冠状病毒病:外周血细胞的形态学变化

IF 0.1 Q4 HEMATOLOGY Iraqi Journal of Hematology Pub Date : 2023-01-01 DOI:10.4103/ijh.ijh_30_23
Amin A. Alamin
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引用次数: 0

摘要

自出现以来,严重急性呼吸综合征冠状病毒2对全球健康的影响一直相当大。临床实验室对2019冠状病毒病(COVID-19)患者的诊断、治疗和预后至关重要。本研究旨在回顾已发表的关于COVID-19患者外周血涂片异常形态学特征的文献。材料和方法:进行了一项非系统的叙述性综述,利用四个数据库搜索有关COVID-19患者外周血细胞定性变化的出版物。2020年1月至2022年7月期间发表的33项研究最终被纳入该综述。结果:回顾的大多数研究侧重于质变,外周血细胞形状被确定为covid -19综合征后严重程度的指标。浆细胞是一种相对特异性的新冠肺炎标志物,而碎片化中性粒细胞是一种极其敏感的形态学标志物。单核细胞活化是疾病预后的一个强有力的预测因子,血小板聚集是疾病进展的一个指标。结论:外周血细胞形态学异常的识别有助于COVID-19患者的诊断和预后。住院患者每日全血细胞计数检查对于识别数字和形态学异常是至关重要的,这些异常表明不良的临床结果和疾病进展。
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Coronavirus disease 2019: Morphological changes in peripheral blood cells
INTRODUCTION: The impact of severe acute respiratory syndrome coronavirus 2 on global health has been considerable since its emergence. Clinical laboratories are crucial in the diagnosis, treatment, and prognosis of patients with coronavirus disease 2019 (COVID-19). The study aims to review the published literature on the abnormal morphological features found in the peripheral blood smears of patients with COVID-19. MATERIALS AND METHODS: A nonsystematic narrative review was carried out, utilizing four databases to search for publications that presented qualitative alterations in the peripheral blood cells of individuals with COVID-19. Thirty-three studies published between January 2020 and July 2022 were ultimately included in the review. RESULTS: The majority of the studies reviewed focused on qualitative changes, with peripheral blood cell shape identified as an indicator of post-COVID-19 syndrome severity. Plasmacytic cells were found to be a relatively specific marker for COVID-19, while fragmented neutrophils were identified as an extremely sensitive morphological marker. Activation of monocytes was a strong predictor of disease outcome, and platelet aggregates served as an indicator of disease progression. CONCLUSIONS: The identification of morphological abnormalities in peripheral blood cells can aid in diagnosing and prognosticating COVID-19 patients. Daily complete blood count tests in hospitalized patients are crucial for identifying numerical and morphological irregularities that indicate poor clinical outcomes and disease progression.
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