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Title

Analysis of fatal congenital anomalies among pregnant women at Saudi Arabia using ultrasonography

 

Authors

Nagla Hussein Mohamed Khalid, Norah Saeedan Alyami, Rahaf Saad Althobaiti, Naseem Ali Salem Al Salem, Sarah Saad Rashed Al Qatran & Ghaida Ali Alosaimi

 

Affiliation

Department of Radiological Science, Najran University, Kingdom of Saudi Arabia; *Corresponding author

 

Email

Nagla Hussein Mohamed Khalid - E-mail: nhussien150@gmail.com
Norah Saeedan Alyami - E-mail: Noraseedan@gmail.com
Rahaf Saad Althobaiti - E-mail: Rsaaalthobaiti@gmail.com
Naseem Ali Salem Al Salem - E-mail: nasoom1233@icloud.com
Sarah Saad Rashed Al Qatran - E-mail: Sarahsaad78@icloud.com
Ghaida Ali Alosaimi - E-mail: ghidaaa100@outlook.sa

 

Article Type

Research Article

 

Date

Received May 31, 2025; Revised May 31, 2025; Accepted May 31, 2025, Published May 31, 2025

 

Abstract

The association between pregnant women’s health and the presence of congenital anomalies at Saudi Arabia is of interest. The total sample comprised of 100 individuals and the examinations took place in the period January 2023-January 2024. Relationships between health factors, demographic variables and foetal anomalies were assessed using Chi-square tests. With the majority of the participants being in the optimum childbearing age range, the average point of gestation at the time of the ultrasound assessment was 26.5 weeks and the average age of the women was 29.8-years old. Five major forms of congenital anomaly were observed among the 100 women examined. These were as follows: cardiac anomalies (34% of the total number of anomalies); musculoskeletal anomalies (22% of the total); central nervous system anomalies (20% of the total); gastrointestinal anomalies (15% of the total); and genitourinary anomalies (9% of the total), Just under a third (30%) of the sample reported that they had some form of adverse health condition (40% of this group had diabetes mellitus and 27% had hypertension).

 

Keywords

Ultrasound examinations, congenital anomalies, pregnant women, gestational age, maternal pathology

 

Citation

Khalid et al. Bioinformation 21(5): 1176-1181 (2025)

 

Edited by

Neelam Goyal & Shruti Dabi

 

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.