ItemConference Paper

Neonatal Hypoglycemia in the Newborn of a Diabetic Mother: Risk Factors in Prediction and Management

Title
Neonatal Hypoglycemia in the Newborn of a Diabetic Mother: Risk Factors in Prediction and Management
Creator
Jain, Ayush; Shoran, Preety; Vidushi
Description
Among the metabolic complications, neonatal hypoglycemia remains the most common complication, especially among infants of diabetic mothers. This paper is to briefly review landmark research studies aimed at assessing the prediction of neonatal hypoglycemia with consideration of maternal glucose monitoring, cord blood C-peptide, and HbA1c biomarkers together with advanced AI-based models. This becomes significant in reviewing the pathophysiology of neonatal hypoglycemia, clinical risk factors, and treatment strategies in view of the predictive value of both the mother and the newborn. Maternal diabetes type, gestational age, and neonatal BMI are some of the risk factors to be evaluated. The rapidly growing role of AI in clinical practice would also be discussed. In addition, an individualized management approach might be advocated to improve the outcome of the newborn by employing appropriate clinical tools coupled with AI-based predictive models. 2026 American Institute of Physics Inc.. All rights reserved.
Source
AIP Conference Proceedings;Volume;3386;Issue;1;Article No.;20099;
Date
01-01-2026
Publisher
American Institute of Physics
Subject
AI prediction; C-peptide; continuous glucose monitoring; diabetic mothers; HbA1c; Neonatal hypoglycemia; risk factors
Coverage
Jain A., CHRIST (Deemed To Be University), Karnataka, Bengaluru, India; Shoran P., CHRIST (Deemed To Be University), Karnataka, Bengaluru, India; Vidushi, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 0094243X;
Format
online
Language
English
Type
Conference paper

Citation

Jain, Ayush; Shoran, Preety; Vidushi, “Neonatal Hypoglycemia in the Newborn of a Diabetic Mother: Risk Factors in Prediction and Management,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 17, 2026, https://archives.christuniversity.in/items/show/25730.

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