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家庭医生如何诊断 COVID-19?全血细胞计数作为 COVID-19 诊断工具的可用性:土耳其的一项横断面研究。

How to diagnose COVID-19 in family practice? Usability of complete blood count as a COVID-19 diagnostic tool: a cross-sectional study in Turkey.

机构信息

Family Medicine, Ataturk University, Erzurum, Turkey

Emergency Medicine, Ataturk University, Erzurum, Turkey.

出版信息

BMJ Open. 2023 Apr 17;13(4):e069493. doi: 10.1136/bmjopen-2022-069493.

DOI:10.1136/bmjopen-2022-069493
PMID:37068894
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10111184/
Abstract

OBJECTIVE

COVID-19 is currently diagnosed in hospital settings. An easy and practical diagnosis of COVID-19 is needed in primary care. For this purpose, the usability of complete blood count in the diagnosis of COVID-19 was investigated.

DESIGN

Retrospective, cross-sectional study.

SETTING

Single-centre study in a tertiary university hospital in Erzurum, Turkey.

PARTICIPANTS

Between March 2020 and February 2021, patients aged 18-70 years who applied to the hospital and underwent both complete blood count and reverse-transcription-PCR tests for COVID-19 were included and compared. Conditions affecting the test parameters (oncological-haematological conditions, chronic diseases, drug usage) were excluded.

OUTCOME MEASURE

The complete blood count and COVID-19 results of eligible patients identified using diagnostic codes [U07.3 (COVID-19) or Z03.8 (observation for other suspected diseases and conditions)] were investigated.

RESULTS

Of the 978 patients included, 39.4% (n=385) were positive for COVID-19 and 60.6% (n=593) were negative. The mean age was 41.5±14.5 years, and 53.9% (n=527) were male. COVID-19-positive patients were found to have significantly lower leucocyte, neutrophil, lymphocyte, monocyte, basophil, platelet and immature granulocyte (IG) values (p<0.001). Neutrophil/lymphocyte, neutrophil/monocyte and IG/lymphocyte ratios were also found to be significantly decreased (p<0.001). With logistic regression analysis, low lymphocyte count (OR 0.695; 95% CI 0.597 to 0.809) and low red cell distribution width-coefficient of variation (RDW-CV) (OR 0.887; 95% CI 0.818 to 0.962) were significantly associated with COVID-19 positivity. In receiver operating characteristic analysis, the cut-off values of lymphocyte and RDW-CV were 0.745 and 12.35, respectively.

CONCLUSION

Although our study was designed retrospectively and reflects regional data, it is important to determine that low lymphocyte count and RDW-CV can be used in the diagnosis of COVID-19 in primary care.

摘要

目的

目前,COVID-19 在医院环境中进行诊断。在初级保健中需要一种简单实用的 COVID-19 诊断方法。为此,研究了全血细胞计数在 COVID-19 诊断中的可用性。

设计

回顾性、横断面研究。

地点

土耳其埃尔祖鲁姆一所三级大学医院的单中心研究。

参与者

2020 年 3 月至 2021 年 2 月期间,年龄在 18-70 岁之间,因 COVID-19 到医院就诊并接受全血细胞计数和逆转录-PCR 检测的患者被纳入并进行比较。排除影响检测参数的情况(肿瘤血液病情况、慢性疾病、药物使用)。

观察指标

使用诊断代码(U07.3(COVID-19)或 Z03.8(观察其他疑似疾病和情况))确定符合条件的患者的全血细胞计数和 COVID-19 结果。

结果

978 名患者中,39.4%(n=385)COVID-19 阳性,60.6%(n=593)COVID-19 阴性。平均年龄为 41.5±14.5 岁,53.9%(n=527)为男性。COVID-19 阳性患者的白细胞、中性粒细胞、淋巴细胞、单核细胞、嗜碱性粒细胞、血小板和不成熟粒细胞(IG)值明显较低(p<0.001)。中性粒细胞/淋巴细胞、中性粒细胞/单核细胞和 IG/淋巴细胞比值也明显降低(p<0.001)。通过逻辑回归分析,低淋巴细胞计数(OR 0.695;95%CI 0.597 至 0.809)和低红细胞分布宽度变异系数(RDW-CV)(OR 0.887;95%CI 0.818 至 0.962)与 COVID-19 阳性显著相关。在受试者工作特征分析中,淋巴细胞和 RDW-CV 的截断值分别为 0.745 和 12.35。

结论

尽管我们的研究是回顾性设计,反映了区域性数据,但确定低淋巴细胞计数和 RDW-CV 可用于初级保健中的 COVID-19 诊断非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbaf/10111184/d392d109f397/bmjopen-2022-069493f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbaf/10111184/6eaca14291a6/bmjopen-2022-069493f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbaf/10111184/c0187dcdc8e1/bmjopen-2022-069493f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbaf/10111184/d392d109f397/bmjopen-2022-069493f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbaf/10111184/6eaca14291a6/bmjopen-2022-069493f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbaf/10111184/c0187dcdc8e1/bmjopen-2022-069493f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbaf/10111184/d392d109f397/bmjopen-2022-069493f03.jpg

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Clin Chem Lab Med. 2022 May 5;60(12):1887-1901. doi: 10.1515/cclm-2022-0182. Print 2022 Nov 25.
3
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4
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