Development and validation of a predictive nomogram for early detection of necrotizing pneumonia in children with refractory Mycoplasma pneumoniae pneumonia | Synapse
March 3, 2026Open Access
Development and validation of a predictive nomogram for early detection of necrotizing pneumonia in children with refractory Mycoplasma pneumoniae pneumonia
Puntos clave
Necrotizing pneumonia can be predicted effectively using a nomogram that includes several biomarkers.
The model incorporates factors like ESR and CD4<sup>+</sup> T cells, enhancing diagnostic accuracy.
Assessment of clinical signs, like pleural effusion and duration of fever, contributes significantly to predictions.
Validation of this model highlights its potential role in improving early diagnosis and treatment outcomes.
Resumen
The prediction model incorporating ESR, CD4+ T cells, NK cells, IL-4, duration of fever, and pleural effusion showed good predictive value for NP in children with RMPP.