Objective:

To create a personalized risk-stratification nomogram for predicting recurrent respiratory tract infections (RRTIs) in pediatric patients and assess its clinical value.

Key Findings:

• History of allergy (OR 5.187) and asthma (OR 2.522) were significant predictors of RRTI.
• Lower vitamin A (OR 0.458) and D levels (OR 0.556), lower birth weight (OR 0.283), passive smoking exposure (OR 2.061), and lower hemoglobin levels (OR 0.425) were also identified as independent predictors.
• The nomogram showed good discrimination and calibration in both training and testing sets.

Interpretation:

The nomogram effectively stratifies children into low-, intermediate-, and high-risk groups for RRTIs, facilitating targeted prevention strategies.

Limitations:

• The study may be limited by its observational design and potential confounding factors.
• Generalizability may be affected by the specific population studied.

Conclusion:

A validated nomogram based on clinical history and nutritional indicators can predict RRTI risk in children, supporting early risk stratification and preventive decision-making.