Search Articles

Home / Articles

Fetal Development Insights: The Prevalence of Abnormalities Diagnosed on 18-24 Week Ultrasound

. Aaiza Ehsan Niazi, Hina Syed, Saba Ashraf, Bushra Mumtaz, Kashif Shehzad, Ismat Zhaira, Mahnoor Syed & Dua Zhaira


Abstract

Anatomical and functional abnormalities with a prenatal aetiology that are noticeable at birth are referred to as congenital disorders, birth defects, or fetal anomalies. Usually, they fall into two categories: minor anomalies and major anomalies. Congenital abnormalities include heart defects, neural tube defects, respiratory system defects, gastrointestinal system defects, musculoskeletal system defects, genitourinary system anomalies, anterior abdominal wall anomalies, and reproductive system anomalies. The term "Anomaly scan" refers to the ultrasound examination performed in the first or second trimester of pregnancy to identify foetal abnormalities and verify normal grow. The objective of my study was to estimate the prevalence of fetal anomalies at 18 to 22 weeks of pregnancy with the help of sonography. In most parts of the world, congenital abnormalities are a common cause of foetal morbidity and mortality. 360 samples of abnormality scan reports from women 18 to 24 weeks pregnant were provided for this study by the Rawal General Hospital, Life Care Lab, and Medical Diagnostic Centre. Most of the patients in this study were between the ages of 25 and 35, and they were between 18 and 24 weeks pregnant. The most frequently reported condition is heart abnormalities, which affects 2.5% of women. Among the mother’s distribution, frequency of 1 fetus is more than others and our study shows that 35 fetuses are discovered to be dead before birth, and their mothers undergo abortions. The majority of congenitally abnormal fetuses were observed in pregnant mothers between the ages of 25 and 35 years, we found that the majority of fetal abnormalities are visible at 20-22 weeks of gestation and majority of anomalies are associated with low socio-economic status. All the data were analyzed through SPSS software

Download :