Development and validation of a predictive nomogram for early detection of necrotizing pneumonia in children with refractory Mycoplasma pneumoniae pneumonia

Key Points

• Necrotizing pneumonia can be predicted effectively using a nomogram that includes several biomarkers.
• The model incorporates factors like ESR and CD4⁺ 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.