Ahi Evran University, Kırşehir, Türkiye.
Gulhane Training and Research Hospital, Ankara, Türkiye.
Front Public Health. 2024 Jul 11;12:1377785. doi: 10.3389/fpubh.2024.1377785. eCollection 2024.
It is not always possible to differentiate between influenza and COVID-19 based on symptoms alone. This is a topic of significant importance as it aims to determine whether there are specific hematological parameters that can be used to distinguish between influenza and COVID-19 in children.
Two hundred thirty-one children between the ages of 1 month and 18 years who presented to the children's outpatient clinic between June 2021 and June 2022 with similar symptoms and were tested with an influenza test and a COVID-19 PCR test were included in the study. Of the patients included in the study, 130 tested positive for COVID-19 and 101 positive for influenza. The patients were evaluated for hematological parameters.
Age, eosinophils and monocyte factors were shown to be statistically significantly effective in COVID-19. The risk of COVID-19 increased 1,484-fold with age, 10,708-fold with increasing eosinophil count, and 1,591-fold with increasing monocyte count. The performance of the monocyte count and eosinophil count was assessed by receiver operating characteristic curve (ROC) analysis. According to the performed ROC analysis, the area under the curve (AUC) value was observed to be 0.990 for monocytes. According to the cutoff point >1.50, the sensitivity value was determined as 98.4% and the specificity value as 97.0%. AUC significance for eosinophils was found to be 0.989. According to the cutoff point >0.02, the sensitivity value was determined as 99.2% and the specificity value as 93.1%.
In the diagnosis of COVID-19, the eosinophil count and monocyte count are easily accessible, inexpensive, and important parameters in terms of differential diagnosis and can help in the differentiation of COVID-19 from influenza during seasonal outbreaks of the latter. Developing parameters for clinicians to use in diagnosing COVID-19 and influenza can facilitate their work in practice.
仅根据症状区分流感和 COVID-19 并不总是可行的。这是一个非常重要的话题，因为它旨在确定是否存在特定的血液学参数可以用于区分儿童中的流感和 COVID-19。
本研究纳入了 2021 年 6 月至 2022 年 6 月期间因类似症状就诊于儿科门诊的 231 名 1 个月至 18 岁的儿童，他们均接受了流感检测和 COVID-19 PCR 检测。在纳入研究的患者中，130 例 COVID-19 检测呈阳性，101 例流感检测呈阳性。对患者的血液学参数进行评估。
年龄、嗜酸性粒细胞和单核细胞因素被证明对 COVID-19 具有统计学显著影响。年龄每增加 1 岁，COVID-19 的风险增加 1484 倍，嗜酸性粒细胞计数每增加 10708 倍，单核细胞计数每增加 1591 倍，COVID-19 的风险增加。通过接收者操作特征曲线（ROC）分析评估单核细胞计数和嗜酸性粒细胞计数的性能。根据进行的 ROC 分析，单核细胞的曲线下面积（AUC）值为 0.990。根据 >1.50 的截断点，灵敏度值确定为 98.4%，特异性值确定为 97.0%。嗜酸性粒细胞 AUC 显著性为 0.989。根据 >0.02 的截断点，灵敏度值确定为 99.2%，特异性值确定为 93.1%。
在 COVID-19 的诊断中，嗜酸性粒细胞计数和单核细胞计数是易于获取、廉价的、具有鉴别诊断意义的重要参数，可以帮助在流感季节性流行期间区分 COVID-19 和流感。为临床医生开发用于诊断 COVID-19 和流感的参数可以方便他们在实践中的工作。
