Development and validation of a risk prediction model for early-onset hypoglycemia in preterm infants

The model demonstrated promising predictive ability for early-onset hypoglycemia in preterm infants and could potentially serve as a preliminary tool to inform risk stratification strategies. However, its clinical translation requires confirmation through external validation in prospective, multicenter studies before any consideration of widespread implementation.

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Publication Details

Journal
The Journal of Maternal-Fetal & Neonatal Medicine
Published
2026-01-29
DOI
https://doi.org/10.1080/14767058.2026.2620827
Primary Topic
Hyperglycemia and glycemic control in critically ill and hospitalized patients
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of a risk prediction model for early-onset hypoglycemia in preterm infants

Rongdan Li, Mei Luo, Z. Y. Li, C. He et al.
The Journal of Maternal-Fetal & Neonatal Medicine
Hyperglycemia and glycemic control in critically ill and hospitalized patients
article

Development and validation of a risk prediction model for early-onset hypoglycemia in preterm infants

Rongdan Li, Mei Luo, Z. Y. Li, C. He, Qiaoqing Xie, Miaoqiong Situ
article en

Abstract

The model demonstrated promising predictive ability for early-onset hypoglycemia in preterm infants and could potentially serve as a preliminary tool to inform risk stratification strategies. However, its clinical translation requires confirmation through external validation in prospective, multicenter studies before any consideration of widespread implementation.

The Journal of Maternal-Fetal & Neonatal MedicineVol. 39(1)
Sun Yat-sen University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN)
Openalex Percentile: Top 75%
Hyperglycemia and glycemic control in critically ill and hospitalized patients
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