Predictive value of early variability of levels of multiple inflammatory factors for the prognosis of children with Mycoplasma pneumoniae pneumonia
10.3969/j.issn.1673-4130.2025.18.014
- VernacularTitle:多炎症因子水平早期变异性对肺炎支原体肺炎患儿预后的预测价值
- Author:
Lianfeng LIU
1
;
Wei GUAN
;
Yunfei YUE
;
Huahua TIAN
Author Information
1. 石家庄市妇幼保健院,河北石家庄 050000
- Keywords:
inflammatory factors;
variability;
Mycoplasma pneumoniae pneumonia;
prognosis;
in-terleukin-6;
interleukin-17A
- From:
International Journal of Laboratory Medicine
2025;46(18):2255-2262
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the predictive value of early variability of levels of multiple inflammatory factors for the prognosis of children with Mycoplasma pneumoniae pneumonia(MPP).Methods A total of 253 MPP children admitted to the hospital from May 2022 to October 2024 were selected as the research sub-jects.Blood samples were collected from all patients at admission and up to 72 h[T0(0-6 h at admission),T1(24 h after admission),T2(48 h after admission),T3(72 h after admission)].Serum inflammatory fac-tors,including C-reactive protein(CRP),interleukin(IL)-2,IL-4,IL-5,IL-6,IL-8,IL-10,IL-17A,IL-1β,γ-in-terferon(IFN-γ),and tumor necrosis factor-α(TNF-α)were measured,and variability was calculated(T1=[(T1-T0)/T0]× 100％,△T2=[(T2-T0)/T0]× 100％,△T3=[(T3-T0)/T0]× 100％).MPP patients were divided into the good prognosis group and poor prognosis according to the prognosis condition.The ser-um inflammatory factor levels and their variability at different time points in the good prognosis group and the poor prognosis group were compared,multivariate Logistic regression was used to analyze the influencing fac-tors of MPP children's prognosis,and receiver operating characteristic(ROC)curve was used to analyze the predictive value of early variability of inflammatory factor levels for MPP children's prognosis.Results After 3 months of follow-up observation,a total of 7 cases were lost to follow-up,and a total of 246 cases were final-ly included for analysis.Among them,58 cases were in the poor prognosis group,and 188 cases were in the good prognosis group.The disease course of the poor prognosis group was longer than that of the good prog-nosis group(P＜0.05),the severity of the disease was more severe than that of the good prognosis group(P＜0.05),and the proportion of affected lung lobes≥2/3 was higher in the poor prognosis group than in the good prognosis group(P＜0.05).IL-6,IL-17A and IL-1β levels at T1-T3 were higher than those at T0(P＜0.0125).The level of IL-6 at T0-T3,IL-1 β level at T2-T3,and IL-17A at T3 in the poor prognosis group were higher than those in the good prognosis group(P＜0.05).IL-6(△T2),IL-17A(△T3),IL-1β(△T2),IL-1β(△T3)in the poor prognosis group were higher than those in the good prognosis group(P＜0.05).The results of the multivariate Logistic regression analysis showed that IL-6(T0),IL-6(T1),IL-6(△T2),IL-1β(△T3),IL-17A(△T3)were the factors influencing the prognosis of children with MPP(P＜0.05).The ROC curve showed that the area under the curve of IL-6(T0),IL-6(T1),IL-6(△T2),IL-1β(△T3),IL-17A(△T3)for predicting the prognosis of children with MPP was all above 0.7.Conclusion The prognosis of MPP patients is related to the phase sensitivity and dynamic remodeling of the inflammatory network.IL-6(T0),IL-6(T1),IL-6(△T2),IL-1β(△T3),IL-17A(△T3)are key prognostic indicators for MPP patients.Dy-namic monitoring of inflammatory factor levels can help intervene in immune imbalances and cytokine storms in a timely manner to improve the prognosis of pediatric patients.
