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血液学参数在预测 2019 年冠状病毒病重症患者中的价值:来自摩洛哥的真实世界队列研究。

Value of hematological parameters for predicting patients with severe coronavirus disease 2019: a real-world cohort from Morocco.

机构信息

Hematology Laboratory, Mohammed VI University Hospital Center, Oujda, Morocco.

Faculty of Medicine and Pharmacy, Mohammed 1st University, Oujda, Morocco.

出版信息

J Int Med Res. 2022 Jul;50(7):3000605221109381. doi: 10.1177/03000605221109381.

Abstract

OBJECTIVE

Coronavirus disease 2019 (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2. The clinical manifestations and the evolution of patients with COVID-19 are variable. In addition to respiratory involvement, COVID-19 leads to systemic involvement and can affect the hematopoietic system. This study aimed to evaluate the prognostic value of hematological and hemocytometric parameters in predicting the severity of patients with COVID-19.

METHODS

We performed a retrospective study at Mohammed VI university Hospital from 1 March to 11 November 2020. We collected demographic characteristics and hematological findings of incident COVID-19 cases.

RESULTS

A total of 245 patients were included in our study. We found that the rate of lymphopenia was significantly reduced in patients who were severely affected by COVID-19. Additionally, the rate of neutrophilia, the neutrophil side fluorescence light signal, monocyte fluorescent intensity, monocyte size, the neutrophil-to-lymphocyte ratio, the platelet-to-lymphocyte ratio, and the lymphocyte-to-monocyte ratio were significantly elevated in patients who were severely affected by COVID-19.

CONCLUSIONS

These results are consistent with the literature regarding the predictive value of these markers. A prospective validation in a large population with a longer follow-up is required.

摘要

目的

新型冠状病毒病(COVID-19)是由严重急性呼吸综合征冠状病毒 2 引起的病毒性疾病。COVID-19 患者的临床表现和病情演变是多变的。除了呼吸系统受累,COVID-19 还会导致全身受累,并可能影响造血系统。本研究旨在评估血液学和血液细胞计数参数在预测 COVID-19 患者严重程度方面的预后价值。

方法

我们对 2020 年 3 月 1 日至 11 月 11 日在穆罕默德六世大学医院进行了一项回顾性研究。我们收集了新发 COVID-19 病例的人口统计学特征和血液学发现。

结果

共有 245 例患者纳入我们的研究。我们发现,在 COVID-19 重症患者中,淋巴细胞减少的发生率显著降低。此外,中性粒细胞增多、中性粒细胞侧向荧光信号、单核细胞荧光强度、单核细胞大小、中性粒细胞与淋巴细胞比值、血小板与淋巴细胞比值和淋巴细胞与单核细胞比值在 COVID-19 重症患者中显著升高。

结论

这些结果与这些标志物的预测价值的文献一致。需要在更大的人群中进行前瞻性验证,并进行更长时间的随访。

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