| 摘要: |
| 目的:基于血清肺炎支原体(MP)IgM 抗体(MP-IgM)、MP-IgG 表达探讨儿童肺炎支原体肺炎(MPP)的病情预测及诊治
策略。方法:选取2024 年4-10 月于我院就诊的120 例MPP 患儿(疾病组)和100 例体检健康的儿童(健康组),疾病组分为重
度组52 例与轻度组68 例。磁微粒化学发光法分析血清MP-IgM、MP-IgG 表达水平,并以受试者工作特征(ROC)分析其对重症
MPP 的预测价值。结果:疾病组血清MP-IgM、MP-IgG 水平高于健康组,且重度组高于轻度组(P 均<0. 05)。重度组发热时间、
C 反应蛋白高于轻度组,氧合指数低于轻度组(P 均<0. 05)。血清MP-IgM、MP-IgG 联合预测重症MPP 的AUC 高于单独预测
(P<0. 05)。结论:血清MP-IGM、MP-IGG 表达水平是预测重症MPP 的高效生物学标志物,且联合预测效能更高;通过量化
MP-IgM、MP-IgG 预测效能,可根据疾病严重程度制定合理的分级干预方案,为个体化治疗提供参考。 |
| 关键词: 肺炎支原体肺炎 儿童 肺炎支原体IgM 抗体 肺炎支原体IgG 抗体 病情预测 诊治策略 |
| DOI：doi:10.13407/j.cnki.jpp.1672-108X.2026.01.008 |
|
| 基金项目:湖北省卫健委卫生健康科研项目,编号WJ2021M045 |
|
| Disease Prediction and Drug Therapy for Mycoplasma Pneumoniae Pneumonia in Children Based on SerumIgM and IgG Antibody |
| Shu Ling, Wang Hongyong, Li Peng |
| (The First People’s Hospital of Tianmen, Hubei Tianmen 431700, China) |
| Abstract: |
| Objective: To explore the disease prediction and treatment strategy for Mycoplasma pneumoniae pneumonia in children based
on serum M. pneumoniae (MP)-IgM antibody (MP-IgM) and MP-IgG expression. Methods: From Apr. to Oct. 2024, totally
120 children with MPP admitted into our hospital (disease group) and 100 healthy children with physical examination (healthy group)
were extracted. The disease group was assigned into severe group (52 cases) and mild group (68 cases). The expression levels of
MP-IgM and MP-IgG were analyzed by using magnetic particle chemiluminescence method, and the predictive value of the indicators for
severe MPP was evaluated by receiver operator characteristics (ROC) analysis. Results: The levels of MP-IgM and MP-IgG in the
disease group were higher than those in the healthy group, and the severe group was higher than the mild group (P <0. 05). The
duration of fever and C-reactive protein levels in the severe group were higher than those in the mild group, while the oxygenation
indicator in the severe group was lower than that in the mild group (P<0. 05). The AUC of the combined prediction of MP-IgM and
MP-IgG for severe MPP was higher than that of individual prediction (P<0. 05). Conclusion: The expression levels of MP-IgM and
MP-IgG are highly effective biological markers for predicting severe MPP. Moreover, the combined effect of the two is even more
significant. By quantifying the predictive efficacy of MP-IgM and MP-IgG, a reasonable grading intervention regimen for the severity of
disease can be formulated, providing a scientific basis for individualized treatment. |
| Key words: Mycoplasma pneumoniae pneumonia children Mycoplasma pneumoniae-IgM antibody Mycoplasma pneumoniae-IgG
antibody disease prediction treatment strategy |
