Objective To construct a clinical-radiological nomogram predictive model for Mycoplasma pneumoniae(Mycoplasma pneumoniae,MP)with co-infection of other pathogens.Methods A retrospective analysis was conducted on the data of children admitted to our institution for pneumonia between June 2023 and December 2023.All chest CT ima-ges were evaluated by two radiologists using a blinded and random method.The evaluation of imaging characteristics in-cludes:involvement of unilateral or bilateral lung lobes by the lesion;number of lung lobes involved;presence or absence of ground glass opacity(GGO);presence or absence of consolidation of lung lobes and segments;presence or absence of grid shadow;bronchial stenosis;presence or absence of tree-in-the-fog sign;presence or absence of pleural effusion;presence or absence of enlarged lymph nodes in the mediastinum(the standard for enlarged lymph nodes is a short diameter of≥10 mm).Data analysis was performed using SPSS 26.0 statistical software.Comparisons between the two groups of children with simple MPP infection and MPP co-infected with other pathogens were performed using t-tests,Mann-Whitney U tests,or chi-square tests.Nomogram analysis was performed using R software.The predictive performance of the model was eval-uated using the receiver operating characteristic(receiver operating characteristic,ROC)curve.P＜0.05 was considered statistically significant.Results A total of 126 patients with MP infection were included in this study,including 49 cases(38.9％)with co-infection with other pathogens.The mean age of the children was(7.0±2.0)years.Seventy-nine per-cent(79.6％)of children with MP co-infected with other pathogens developed bronchiectasis,in contrast to only 35.1％of children with simple MP infection(P＜0.001).18(36.7％)children with MP co-infected with other pathogens devel-oped grid opacities,compared to only 11.7％of children with simple MP infection(P＜0.01).Eighty-one percent(81.6％)of children with MP co-infected with other pathogens exhibited GGO,compared to only 66.2％of children with sim-ple MP infection(P=0.082).The odds ratio(OR)for procalcitonin in predicting MP co-infected with other pathogens was 14.465.The OR value for grid opacities,GGO,and bronchiectasis in predicting MP co-infected with other pathogens were 3.217,4.022,and 9.222,respectively.The clinical-radiological nomogram model had an area under the curve(AUC)of 0.838,with sensitivity and specificity values of 82.1％and 84.0％,respectively.Conclusion The clinical-radiological nomogram model based on clinical and radiological features can effectively predict Mycoplasma pneumoniae co-infected with other pathogens in children.
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