Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Examining the Prevalence of Congenital Anomalies in Newborns

A Cross-Sectional Study at a Tertiary Care Maternity Hospital in Saudi Arabia

Bibliographic Data

ID15717201
AuthorsBayapa Reddy Narapureddy (0000-0002-7084-2014, King Khalid University, corresponding author), Yousef Zahrani (0009-0003-6764-4396, King Khalid University), Hind Eissa Musa Alqahtani (Maternity and Children's Hospital), Bharat Kumar Mamilla Mugaiahgari (King Khalid University), Lingala Kalyan Viswanath Reddy (Saudi Electronic University), Kalyan Viswanath Reddy Lingala (0000-0002-9506-8766, Saudi Electronic University), Shaik Mohammed Asif (King Khalid University), Mohammad Ali Abdullah Almoyad (0000-0001-9004-1006, King Khalid University), Ali Mohieldin (0000-0002-2149-2687, King Khalid University), Adam Dawria (0000-0003-1597-1160, King Khalid University)
Year2024
Volume11
Issue2
Pages188-188
Publication date2024-02-02
Open AccessYes
TypeARTICLE
VenueChildren (JOURNAL)
Journal identifiersISSN: 2227-9067 • E-ISSN: 2227-9067
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/children11020188
PMID38397300
OpenAlexW4391487156
LanguageEN
Citations received1
References cited22

Background: Congenital anomalies, representing structural or functional abnormalities present at birth, pose a substantial global health challenge, affecting 8 million newborns annually. With 3.3 million succumbing before age five and 3.2 million facing physical or mental disability, their diverse causes necessitate comprehensive understanding for effective healthcare planning. This study explores the prevalence of congenital anomalies among newborns in the Abha Maternity and Children Hospital (MCH) in Abha, Kingdom of Saudi Arabia. Methodology: A descriptive cross-sectional record-based study was conducted on newborns born between 2018 and 2022. Data were gathered in 4 months from September to December 2023. Purposive sampling was employed to select the case records of newborns with congenital anomalies after careful screening and considering inclusion and exclusion criteria. Data was acquired through a self-designed study tool, and the data were entered into Google Forms. Results: Congenital anomalies' five-year prevalence was 3.21%, and one year, in 2022, the prevalence was 4.02%. Female neonates exhibited higher anomalies (59.3%), and preterm births accounted for 39.6%, emphasizing their vulnerability. The findings indicate that consanguineous marriages are linked to 63.3% of anomalies, notably neural tube defects (25%) and congenital heart diseases (19.7%). Anomalies are not significantly associated with consanguinity or birth order, but maternal age, education, employment, and antenatal maternal medical issues are associated considerably. Conclusions: These study insights contribute to health planners planning targeted interventions and awareness programs that are crucial to mitigate risks associated with preterm births and consanguineous marriages. The promotion of 100% antenatal screening and prophylactic medication for high-risk women and couples is necessary to prevent inherited deformities. In future the Ministry of Health must plan large-group prospective research to better understand the associated risk factors that will help public health initiatives minimize congenital-associated neonatal mortality and improve pregnancy outcomes

Consanguinity · Cross-sectional study · Medical record · Psychological intervention · Vulnerability (computing · Congenital Anomalies and Fetal Surgery · Congenital Heart Disease Studies · Medicine · Nursing · Prenatal Screening and Diagnostics · Pediatrics

  • Balancing costs and care

    Open Access•Adel Saber Alanazi, Abdullah Salah Alanazi et al.•Frontiers in Public Health•2025

Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae