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Therefore, this study aims to explore the potential of using peripheral blood routine parameters to effectively distinguish between influenza and <jats:italic>Mycoplasma pneumoniae<\/jats:italic> infections.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>This study selected 209 influenza patients (IV group) and 214 <jats:italic>Mycoplasma pneumoniae<\/jats:italic> 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.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Based on an area under the curve (AUC) threshold of \u2265\u20090.7, 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.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>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 <jats:italic>Mycoplasma pneumoniae<\/jats:italic> infections. The results of this study provide an effective tool for clinical practice, enabling physicians to accurately diagnose and differentiate between influenza and <jats:italic>Mycoplasma pneumoniae<\/jats:italic> infection, thereby offering patients more precise treatment plans.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12985-024-02429-4","type":"journal-article","created":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T16:10:40Z","timestamp":1721751040000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Application of peripheral blood routine parameters in the diagnosis of influenza and Mycoplasma pneumoniae"],"prefix":"10.1186","volume":"21","author":[{"given":"Jingrou","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengzhi","family":"Hong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiahao","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongjun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runzhao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tangdan","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongxu","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoli","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peisong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,23]]},"reference":[{"issue":"6","key":"2429_CR1","doi-asserted-by":"publisher","first-page":"e99419","DOI":"10.1371\/journal.pone.0099419","volume":"9","author":"L Feng","year":"2014","unstructured":"Feng L, Li Z, Zhao S, Nair H, Lai S, Xu W, et al. 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