ArticleScientific reports2025
Risk assessment and early prediction of intraventricular hemorrhage in extremely preterm infants.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Predicting severe intraventricular hemorrhage in very preterm and/or very low birth weight infants: a nomogram approach.Frontiers in pediatrics · 2026Article
- Association of early hyperglycemia with morbidity and mortality in very low birth weight infants.BMC pediatrics · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
This study aimed to identify the risk factors associated with intraventricular hemorrhage (IVH) in extremely preterm infants (EPIs), focusing on early-stage prediction to improve clinical outcomes. A retrospective cohort study was conducted at Guangzhou Women and Children's Medical Center, including 189 EPIs born between January 2019 and December 2023. Infants were categorized into IVH and non-IVH groups based on head ultrasound findings. Risk factors were assessed using univariate and multivariate analyses, and a predictive model for IVH was developed. Of the 189 EPIs, 80 (42.3%) developed IVH, with 26 (13.8%) experiencing severe IVH. Gestational age was identified as a significant protective factor (OR = 0.565, p = 0.023), while invasive mechanical ventilation (IMV) was a key risk factor (OR = 2.718, p = 0.012). The predictive model demonstrated good performance, with an AUC of 0.753 (95% CI: 0.681-0.825). Gestational age and IMV are critical factors in the development of IVH in EPIs. Early identification of high-risk infants based on these factors can aid in timely interventions to reduce IVH incidence and improve outcomes.
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