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September 5, 2025Frontiers in PediatricsOpen Access

Development and validation of a nomogram for predicting early-onset severe intraventricular hemorrhage in extremely preterm infants

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Authors

YHYuan HuQLQin LiQHQin Huang

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Overview

Retrospective analysis predicts severe intraventricular hemorrhage in extremely preterm infants, suggesting timely intervention.

Key Points

  • The nomogram predicts early-onset severe intraventricular hemorrhage in infant populations effectively.
  • In the training cohort, an AUC of 0.877 indicates high predictive accuracy for predicting hemorrhage risk.
  • Key predictors included gestational age and 5-min Apgar score, essential for clinical decision-making.
  • The validated nomogram supports clinical utility, enabling effective risk assessment and personalized care.

Cite This Study

Hu et al. (2025) studied this question.

synapsesocial.com/papers/68bb4d2d6d6d5674bcd01533https://doi.org/10.3389/fped.2025.1644298
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Predicting severe intraventricular hemorrhage in very preterm and/or very low birth weight infants: a nomogram approach2026
  2. 2Development and validation of a nomogram to predict intracranial haemorrhage in neonates2024
  3. 3Development and validation of a diagnostic prediction model for severe periventricular-intraventricular hemorrhage in newborns: insights from a retrospective analysis utilizing the MIMIC-III database2024
  4. 4Development and Validation of a Nomogram-Based Risk Prediction Model for Pulmonary Hemorrhage in Preterm Infants Under 32 Weeks of Gestation2025
  5. 5The Early Hematological Profile and Its Variations: A Useful Tool in the Prediction of Intraventricular Hemorrhage in Extremely Preterm Infants2024 · 1 citations