Evidence map›Paper›PMID 40750863›Full record

ArticleBMC pregnancy and childbirth2025

Prevalence and prenatal diagnosis of major congenital anomalies in Dubai: first insights and emerging patterns in a multicenter cohort study.

Anne F Minsart, Hiba Adam, Nadirah Ghenimi, Muna Tahlak, Fadi G Mirza, Anjum Akbar, Shanthi Sairam

Abstract readMulticenter Study
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Anne F MinsartDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Mediclinic Middle East, Dubai, UAE. anne.minsart@mediclinic.ae.
Hiba AdamInstitute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 15551, Al Ain, UAE.
Nadirah GhenimiDepartment of Family Medicine, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 15551, Al Ain, UAE.
Muna TahlakDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Latifa Women & Children Hospital, Dubai Health, Dubai, UAE.
Fadi G MirzaDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Latifa Women & Children Hospital, Dubai Health, Dubai, UAE.
Anjum AkbarMedical Student, School of Medicine, Mohamed Bin Rashid University, Dubai, UAE.
Shanthi SairamDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Mediclinic Middle East, Dubai, UAE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData on the prevalence and prenatal diagnosis of birth defects in Dubai is lacking. There are currently no guidelines specifying the content or standardized technique for performing prenatal ultrasound scans in Dubai. Maternal factors such as higher body mass index, weight gain, advanced maternal age, diabetes, and uterine scarring can affect imaging quality and prenatal anomaly detection, and are becoming more prevalent.

methodsThe primary objectives were to assess the birth prevalence of major congenital anomalies as defined by EUROCAT and the corresponding prenatal detection rates within a network of tertiary care centers in Dubai between 2019 and 2023. Secondary objectives included comparing prenatal detection based on the location of ultrasound scans - specifically, performed in a network of tertiary care facilities using international ultrasound guidelines versus scans done outside our network, and for scans performed at our facilities, assessing the influence of gestational age, sonologists, and maternal characteristics (body mass index, age, weight gain, diabetes, uterine scarring) through mixed-effect logistic regression. Scan duration and the need for repeat scans were evaluated using Spearman correlation tests.

resultsThe prevalence of major anomalies was 335 (95% confidence interval: 301-372)/10000 live births and stillbirths, and 35.27/10000 for genetic anomalies. Prenatal detection was 70.3% for scans performed in our network, and 46.3% for scans done outside (P<.001). Most women (81.2%) had risk factors for reduced visibility. Scan duration and repeat scans correlated positively with C-sections, maternal age, and body mass index, though weakly. No significant association was found between external factors and prenatal detection (P=.9).

conclusionsThe prevalence of major anomalies was high. High detection rates were observed in a setting where practitioners come from diverse training backgrounds, and where most patients have risk factors for reduced visibility.

Indexed as

Congenital AbnormalitiesPrenatal DiagnosisUltrasonography, PrenatalAdultAdvanced Maternal AgeBody Mass IndexCohort StudiesFemaleGestational AgeHumansMaternal AgePregnancyPrevalence"Advanced Maternal Age"[MeSH Terms]"Body Mass Index"[MeSH Terms]"Congenital Abnormalities"[MeSH Terms]"Prenatal Diagnosis"[MeSH Terms]"Ultrasonography, Prenatal"[MeSH Terms]

Identifiers

PMID40750863
PMCPMC12317602

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