Abstract：Objective: To explore the diagnostic value of inflammatory indicators for the severity of mycoplasma pneumonia in children and the diagnosis of concurrent bacterial infection. Methods: A total of 105 children with mycoplasma pneumonia admitted to the hospital from January 2023 to December 2024 were retrospectively selected as the study objects. According to the severity of mycoplasma pneumonia in children, the patients were divided into severe group (n=42) and mild group (n=63). At the same time, all patients in the severe group and the mild group were divided into the infected group (n=37) and the non-infected group (n=68) according to whether there was co-bacterial infection. The clinical data and laboratory results of the children were collected, and the independent risk factors for the severity of mycoplasma pneumonia in children were investigated by univariate analysis, correlation analysis and multiple logistic regression analysis. The receiver operating characteristic curve (ROC) was used to evaluate the efficacy of inflammatory indicators in the combined diagnosis of concurrent bacterial infection. Results: The results of the univariate analysis of the influencing factors of the severity of pediatric mycoplasma pneumonia indicated that there were statistically significant differences in inflammatory indicators between the severe group and the mild group (P<0.05). The results of multivariate Logistic regression analysis showed that PCT and IL-6 were the influencing factors for evaluating the severity of mycoplasma pneumonia in children (P<0.05); the results of the univariate analysis of pediatric mycoplasma pneumonia combined with bacterial infection indicated that there were statistically significant differences in inflammatory indicators between the infected group and the uninfected group (all P<0.05). The multivariate Logistic regression analysis of the influencing factors of pediatric mycoplasma pneumonia combined with bacterial infection showed that NLR, CRP, IL-6, LDH, and WBC were independent risk factors for evaluating pediatric mycoplasma pneumonia combined with bacterial infection (P<0.05). The ROC curve was drawn, and the results showed that the areas under the curve (AUC) of NLR, CRP, IL-6, LDH, and WBC levels for predicting were 0.649, 0.644, 0.645, 0.636, and 0.656 respectively, and the combined prediction AUC was 0.874, indicating a relatively high diagnostic value. Conclusion: Inflammatory indicators can help medical doctors diagnose the severity of mycoplasma pneumonia in children and whether there is bacterial infection. Compared with a single indicator, multiple indicators combined with bacterial infection are more effective in the diagnosis of mycoplasma pneumonia in children.
王刚, 李维春, 施大庆. 炎症指标与儿童支原体肺炎严重程度的关系及对合并细菌性感染的诊断效能分析[J]. 河北医学, 2026, 32(1): 167-174.
WANG Gang, LI Weichun, SHI Daqing. Evaluation of the Severity of Mycoplasma Pneumonia and Diagnostic Efficacy of Bacterial Infection in Children by Inflammatory Indexes. HeBei Med, 2026, 32(1): 167-174.
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2026, Vol. 32 
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