AUTHOR=Wu Tian , Huang Yi-Yan , Song Wei , Redding Sharon R. , Huang Wei-Peng , Ouyang Yan-Qiong 

TITLE=Development of a prediction model for neonatal hypoglycemia risk factors: a retrospective study

JOURNAL=Frontiers in Endocrinology

VOLUME=Volume 14 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2023.1199628

DOI=10.3389/fendo.2023.1199628

ISSN=1664-2392

ABSTRACT=Background: It's challenging for healthcare workers to detect neonatal hypoglycemia due to its rapid progression and lack of aura symptoms. This may lead to brain function impairment for the newborn, placing a significant care burden on the family and creating an economic burden for society. Tools for early diagnosis of neonatal hypoglycemia are lacking. This study aimed to identify newborns at high risk of developing neonatal hypoglycemia early by developing a risk prediction model. Methods: Using a retrospective design, pairs (470) of women and their newborns in a tertiary hospital from December 2021 to September 2022 were included in this study. Socio-demographic data and clinical data of mothers and newborns were collected. Univariate and multivariate logistic regression were used to screen optimized factors. A neonatal hypoglycemia risk nomogram was constructed using R software, and the calibration curve and receiver operator characteristic curve (ROC) was utilized to evaluate model performance.Results: Factors integrated into the prediction risk nomogram were maternal age (odds ratio [OR] =1.10,