Sun Li1 Yin Jianfei1 Chen Hailu2 Yan Jun1 Wang Qing1 Jiang Feng1 Liu Zheng11 Department of Pediatrics, Xiangdong Hospital Affiliated to Hunan Normal University, Liling, Hunan 412200, China

Corresponding author: yinjianfei, 520yinjianfei@163.com

DOI: 10.12201/bmr.202609.00003

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  Abstract: 【】Objective: To investigate the early predictive value of serum Clara cell secretory protein 16 (CC16) combined with inflammatory indicators for the development of SMPP in children. Methods: A total of 121 children diagnosed with MPP admitted to our hospital from June 2024 to December 2025 were enrolled as research subjects, and divided into mild group (87 cases) and severe group (34 cases) according to disease severity. Meanwhile, 104 age-matched healthy children receiving physical examination were recruited as the healthy control group. Peripheral blood laboratory indicators including WBC,CC16,IL-6,CRP,PCT and LDH within 24 hours after admission were collected. Clinical data such as oxygen therapy/assisted ventilation, application of glucocorticoids and IVIG, duration of fever after admission and length of hospital stay were recorded for intergroup comparison. Spearman correlation analysis was adopted to analyze the correlation between CC16 and various indicators. Multivariate Logistic regression analysis was performed to screen independent influencing factors of SMPP. ROC curves were plotted to evaluate the early predictive efficacy of single biomarkers and combined indicators for SMPP respectively. Results: Serum CC16 level in MPP group was lower than that in healthy control group, and the severe group had significantly decreased CC16 level compared with the mild group (all P＜0.001). Serum CC16 level was negatively correlated with IL-6, CRP and length of hospital stay (all P＜0.001). Multivariate Logistic regression indicated that reduced CC16, elevated IL-6 and elevated CRP were independent influencing factors for the occurrence of SMPP (P＜0.05). ROC analysis showed that the AUC of CC16, IL-6 and CRP for single prediction of SMPP was 0.799, 0.786 and 0.844 respectively, while the AUC of combined detection of the three indicators reached 0.950, with a diagnostic sensitivity of 97.1% and specificity of 83.2%. Conclusion: Low serum CC16 level is an independent risk factor for the progression of MPP to severe disease in children. The dual evaluation prediction model constructed by CC16 combined with IL-6 and CRP presents outstanding diagnostic efficacy, which can be applied to rapidly screen children at high risk of SMPP at the early stage of admission and guide individualized precise clinical treatment.

  Key words: Mycoplasma pneumoniae pneumonia; children; Clara cell secretory protein 16; interleukin-6; C-reactive protein; predictive model

  Submit time: 1 September 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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