Abstract：ObjectiveTo analyze the diagnostic effectiveness of hematological indicators such as CRP, PCT, PLR and PDW on infectious mononucleosis (IM) co-infection with bacterial infection, and to establish a more optimal multifactorial diagnostic model based on this, in order to quickly and timely determine whether IM patients are combined with bacterial infection, to guide the rational use of antibiotics and avoid early antibiotic abuse.MethodsFrom October 2019 to January 2023, the clinical data of IM patients admitted to the Department of Otolaryngology, Hunan Provincial People's Hospital were included, and patients were divided into infected and non-infected groups according to whether they were co-infected with bacterial infections. The difference factors between groups were analyzed by statistical analysis with multi-factor logistic regression, and independent predictors were screened and combined with the above factors to establish a PRML diagnostic model. Afterwards, the area under ROC curve, sensitivity and specificity were used to compare the diagnostic effectiveness of the model and the independent factors on the IM co-infection with bacterial infection.ResultsFour independent predictors, PCT, CRP, PLR, and PDW, were screened by logistic regression analysis, and their OR were 1.038, 1.045, 0.923, and 1.060, respectively. The area under ROC curve showed that the diagnostic effectiveness of the PRML diagnostic model (AUC=0.928) developed by combining the above independent predictors was significantly higher than that of PCT (AUC=0.770), CRP (AUC=0.720), PLR (AUC=0.667), and PDW (AUC=0.687).ConclusionThe PRML model developed by combining PCT, CRP, PLR, and PDW is helpful for clinical diagnosis of IM co-infection with bacterial infection, and its diagnostic effectiveness is superior to each independent predictor alone.
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2023,Vol. 20
