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Title

Incidence and maternal–neonatal outcomes in gestational diabetes mellitus

 

Authors

Niharika Prasad¹, Simran Jain² & Neha Tyagi³,*

 

Affiliation

¹Department of Obstetrics and Gynaecology, Gajra Raja Medical College, Gwalior, Madhya Pradesh, India; ²Department of Obstetrics and Gynaecology, LNCT Medical College and Sewakunj Hospital, Indore, Madhya Pradesh, India; ³Department of Obstetrics and Gynaecology, Government Medical College, Sheopur, Madhya Pradesh, India; *Corresponding author

 

Email

Niharika Prasad - E-mail: niharika.prasad98@yahoo.in
Simran Jain - E-mail: simranjain2811@gmail.com
Neha Tyagi - E-mail: nehatyagijnv@gmail.com

 

Article Type

Research Article

 

Date

Received September 1, 2026; Revised September 30, 2026; Accepted September 30, 2026, Published September 30, 2026

 

Abstract

Gestational diabetes mellitus (GDM) is a common metabolic disorder of pregnancy and a major public health concern because of its adverse effects on both maternal and neonatal outcomes. This prospective observational study was conducted in the obstetrics department of a tertiary care hospital among 200 antenatal women to determine the incidence of GDM and assess its impact on fetomaternal outcomes. All participants were screened at 24–28 weeks of gestation using the oral glucose tolerance test according to standard diagnostic criteria and outcomes were compared between women with GDM and those without GDM. The study focused on complications such as pregnancy-induced hypertension, cesarean delivery, polyhydramnios, macrosomia, neonatal hypoglycaemia, respiratory distress syndrome and NICU admission. Thus, we show the value of universal screening and early intervention in improving maternal and neonatal outcomes in pregnancies complicated by GDM.

 

Keywords

Gestational diabetes mellitus (GDM), pregnancy, maternal outcome, neonatal outcome, macrosomia, cesarean section, neonatal hypoglycaemia

 

Citation

Prasad et al. Bioinformation 22(9): 5658-5662 (2026)

 

Edited by

Vini Mehta

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.