Severity stratification of NICU-admitted neonates using Robson classification and obstetric risk profile: a nomogram-based study - Summary - MDSpire

Severity stratification of NICU-admitted neonates using Robson classification and obstetric risk profile: a nomogram-based study

  • By

  • Seniye Burcu Torumtay Alic

  • Gulcin Aydogdu

  • July 8, 2026

  • 0 min

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Objective:

To evaluate whether the Robson classification and obstetric risk profile can stratify the severity of care among neonates admitted to the NICU and identify factors associated with level 3 NICU care.

Approach:
  • Study Design: Retrospective, single-center study including 1,815 neonates admitted to the NICU from January 2023 to December 2025.
  • Data Analysis: Maternal, obstetric, and neonatal characteristics were analyzed across NICU levels using univariable and multivariable binary logistic regression.
  • Nomogram Development: A nomogram was constructed to estimate individualized risk, with model performance evaluated using discrimination and calibration methods.
Key Findings:
  • 40.4% of NICU-admitted neonates required level 3 care.
  • Lower gestational age and birth weight were associated with higher NICU levels (p < 0.001).
  • Each additional week of gestation reduced the likelihood of level 3 care (OR = 0.82).
  • A history of miscarriage was associated with lower odds of level 3 care (OR = 0.15).
  • Non-low risk mothers according to Robson classification had higher odds of level 3 care (OR = 1.46).
  • The model demonstrated modest discrimination (C-index: 0.695).
Interpretation:

Gestational age, obstetric risk profile, and Robson classification contribute to stratifying the severity of care among NICU-admitted neonates.

Limitations:
  • The findings regarding history of miscarriage should be interpreted with caution.
  • The model is exploratory and requires external validation and refinement before broader clinical application.
Conclusion:

The proposed model serves as an exploratory risk-stratification framework rather than a clinically actionable prediction tool.

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