Frequency of Macrosomia in Neonates Among Women with Gestational Diabetes Mellitus: Macrosomia in Neonates Among Women

. Zahegul; Seema  Rajar; Zara  Noor; Aqsa  Khalique; Maimoona  Mansoor; Tahmina  Shahid; Arooba  Bhutto

doi:10.54393/pjhs.v4i04.674

Authors

. Zahegul Department of Obstetrics and Gynecology, Civil Hospital Karachi, Pakistan
Seema Rajar Department of Obstetrics and Gynecology, Civil Hospital Karachi, Pakistan
Zara Noor Department of Obstetrics and Gynecology, Civil Hospital Karachi, Pakistan
Aqsa Khalique Department of Obstetrics and Gynecology, Civil Hospital Karachi, Pakistan
Maimoona Mansoor Department of Obstetrics and Gynecology, Chinoit General Hospital Korangi, Karachi, Pakistan
Tahmina Shahid Department of Obstetrics and Gynecology, Civil Hospital Karachi, Pakistan
Arooba Bhutto Department of Obstetrics and Gynecology, Muhammad Mehar Medical College Hospital, Sukkur, Pakistan

DOI:

https://doi.org/10.54393/pjhs.v4i04.674

Keywords:

Gestational Diabetes Mellitus, Macrosomia

Abstract

One of the most frequent pregnancy complications is gestational diabetes mellitus (GDM), which raises the risk of unfavorable health issues for both mother and fetus. Macrosomia and increased fetal growth are significant contributors to poor perinatal outcomes. Objective: To determine the frequency of macrosomia in neonates among women with gestational diabetes mellitus. Methods: This Descriptive study was done in Department of Obstetrics and Gynecology, Dow University Health Sciences Karachi from 3^rd April 2018 to 2^nd october 2018.We enrolled 100 patients meeting the criteria. Informed consent was taken. Results: The average age of the patients was 31.16 ± 4.37years, mean gestational age 38.51 ± 2.7 weeks while Mean BMI of the patients was 28.74 ± 1. 3. Frequency of macrosomia in neonates among women with gestational diabetes mellitus was observed in 14%. Conclusions: It is concluded that there was a significant number of macrosomia associated with women having gestational diabetes. So, it needs prompt diagnosis and expert management to decrease maternal and fetal morbidity and mortality.

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