Application of peripheral blood routine parameters in the diagnosis of influenza and Mycoplasma pneumoniae

作者：Jingrou Chen, Yang Wang, Mengzhi Hong, Jiahao Wu, Zongjun Zhang, Runzhao Li, Tangdan Ding, Hongxu Xu, Xiaoli Zhang, Peisong Chen · 发表于：Virology Journal · 年份：2024 · DOI：10.1186/s12985-024-02429-4 · 被引用次数：12 · 研究领域：Pneumonia and Respiratory Infections、Influenza Virus Research Studies、Clinical Laboratory Practices and Quality Control

OBJECTIVES: Influenza and Mycoplasma pneumoniae infections often present concurrent and overlapping symptoms in clinical manifestations, making it crucial to accurately differentiate between the two in clinical practice. Therefore, this study aims to explore the potential of using peripheral blood routine parameters to effectively distinguish between influenza and Mycoplasma pneumoniae infections. METHODS: This study selected 209 influenza patients (IV group) and 214 Mycoplasma pneumoniae patients (MP group) from September 2023 to January 2024 at Nansha Division, the First Affiliated Hospital of Sun Yat-sen University. We conducted a routine blood-related index test on all research subjects to develop a diagnostic model. For normally distributed parameters, we used the T-test, and for non-normally distributed parameters, we used the Wilcoxon test. RESULTS: Based on an area under the curve (AUC) threshold of ≥ 0.7, we selected indices such as Lym# (lymphocyte count), Eos# (eosinophil percentage), Mon% (monocyte percentage), PLT (platelet count), HFC# (high fluorescent cell count), and PLR (platelet to lymphocyte ratio) to construct the model. Based on these indicators, we constructed a diagnostic algorithm named IV@MP using the random forest method. CONCLUSIONS: The diagnostic algorithm demonstrated excellent diagnostic performance and was validated in a new population, with an AUC of 0.845. In addition, we developed a web tool to facilitate the diagnosis of influenza and Myco...