Objective:

To analyze clinical characteristics and treatment patterns among children with short stature and to develop a predictive model for growth hormone treatment efficacy.

Approach:

• Study Design: Retrospective cohort study including 400 children diagnosed with short stature, divided into three groups based on parental choice.
• Data Analysis: Annualized growth velocity compared between growth hormone intervention and nutritional support groups; multivariate logistic regression used to identify factors associated with treatment efficacy.
• Model Development: A nomogram prediction model was constructed and evaluated using ROC curves, calibration curves, and decision curve analysis.

Key Findings:

• The growth hormone intervention group showed significantly higher annualized growth velocity than the nutritional support group (p < 0.05).
• Duration of growth hormone therapy was identified as the independent predictor of treatment efficacy (OR = 4.45, 95% CI: 1.53–12.93, p = 0.006).
• The nomogram model demonstrated good discrimination (AUC = 0.88 in training set, AUC = 0.85 in validation set) and good calibration.

Interpretation:

The study confirms that growth hormone treatment improves growth velocity in children with short stature.

Limitations:

• The study is retrospective and may be subject to selection bias.
• The model's applicability may be limited to the specific population studied.

Conclusion:

A predictive model was established and internally validated.