ArticleScientific reports2023
Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The effect of folic acid intake on congenital anomalies. A systematic review and meta-analysis.Frontiers in pediatrics · 2024Pooled it
- Autonomous fetal morphology scan: deep learning + clustering merger - the second pair of eyes behind the doctor.BMC medical informatics and decision making · 2024Trial
- Phloroglucinol Exposure During Early Pregnancy and Risk of Major Congenital Malformations: A Nationwide Cohort Study in France.Drug safety · 2026Article
- Evaluating the Performance of Traditional Pharmacoepidemiologic and Machine Learning Models to Predict Pregnancies at Risk of Major Congenital Malformations.Birth defects research · 2026Article
- Maternal Smoking and Preterm Birth Among Infants With Orofacial Clefts.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2026Article
- Supervised Fine-Tuning of Large Language Models With Chain-of-Thought Reasoning for Pediatric Heart Disease Detection in Unstructured Echocardiogram Reports: Algorithm Development and Validation.JMIR formative research · 2026Article
- Five-Minute Apgar Scores and Its Prognostic Value for Mortality and Severe Morbidity in Very Preterm Infants: A Multinational Cohort Study.BJOG : an international journal of obstetrics and gynaecology · 2026Observational
- Determinants of congenital anomalies among newborns in public hospitals of Northern Ethiopia: case-control study design.Scientific reports · 2026Article
- Evidence-based directed acyclic graphs for perinatal pharmacoepidemiologic studies in rheumatology: a structured approach for development and implementation in administrative health data.Frontiers in epidemiology · 2026Article
- Experiences of family caregivers regarding the health of children with congenital craniofacial anomalies in Colombia.PLOS global public health · 2026Article
- The effect of a family-centered care program on the psychological outcomes of births with congenital malformations: A study protocol.Journal of education and health promotion · 2026Article
- Consanguinity and adverse fetal outcomes- a population-based cohort study from a multiethnic population in the Middle East.BMC pregnancy and childbirth · 2025Article
- Congenital Anomalies in a Neonate With Partial Monosomy of Chromosome 21 q Arm: A Case Report.Cureus · 2025Article
- A comprehensive survey of congenital malformations in three governorates of Southern Iraq (Basrah, Misan, and Thi Qar), 2020-2023.BMC pregnancy and childbirth · 2025Article
- Mortality among individuals with congenital malformations who reach adulthood: long-term follow-up of the Jerusalem Perinatal Study cohort.International journal of epidemiology · 2025Article
- Article
- Predicting Postoperative Mortality in Neonates with Congenital Gastrointestinal Anomalies: Development of a Prognostic Scoring System.Children (Basel, Switzerland) · 2025Article
- Obstetric Ultrasound Screening in Lebanon for Fetal Diagnosis and Associated Factors of Congenital Abnormalities.Children (Basel, Switzerland) · 2025Article
- Maternal and gestational factors associated with congenital anomalies among live births: a nationwide population-based study in Brazil from 2012 to 2020.BMC pregnancy and childbirth · 2025Article
- Epidemiological and Histopathological Characteristics of Fetuses with Congenital Disorders: A Study in Greece.Biology · 2025Article
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Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Congenital anomalies (CAs) are a leading cause of morbidity and mortality in early life. We aimed to assess the incidence, risk factors, and outcomes of major CAs in the State of Qatar. A population-based retrospective data analysis of registry data retrieved from the Perinatal Neonatal Outcomes Research Study in the Arabian Gulf (PEARL-Peristat Study) between April 2017 and March 2018. The sample included 25,204 newborn records, which were audited between April 2017 and March 2018, of which 25,073 live births were identified and included in the study. Maternal risk factors and neonatal outcomes were assessed for association with specific CAs, including chromosomal/genetic, central nervous system (CNS), cardiovascular system (CVS), facial, renal, multiple congenital anomalies (MCAs) using univariate and multivariate analyses. The incidence of any CA among live births was 1.3% (n = 332). The most common CAs were CVS (n = 117; 35%), MCAs (n = 69, 21%), chromosomal/genetic (51; 15%), renal (n = 39; 12%), CNS (n = 20; 6%), facial (14, 4%), and other (GIT, Resp, Urogenital, Skeletal) (n = 22, 7%) anomalies. Multivariable regression analysis showed that multiple pregnancies, parity ≥ 1, maternal BMI, and demographic factors (mother's age and ethnicity, and infant's gender) were associated with various specific CAs. In-hospital mortality rate due to CAs was estimated to be 15.4%. CAs were significantly associated with high rates of caesarean deliveries (aOR 1.51; 95% CI 1.04-2.19), Apgar < 7 at 1 min (aOR 5.44; 95% CI 3.10-9.55), Apgar < 7 at 5 min (aOR 17.26; 95% CI 6.31-47.18), in-hospital mortality (aOR 76.16; 37.96-152.8), admission to neonatal intensive care unit (NICU) or perinatal death of neonate in labor room (LR)/operation theatre (OT) (aOR 34.03; 95% CI 20.51-56.46), prematurity (aOR 4.17; 95% CI 2.75-6.32), and low birth weight (aOR 5.88; 95% CI 3.92-8.82) before and after adjustment for the significant risk factors. This is the first study to assess the incidence, maternal risk factors, and neonatal outcomes associated with CAs in the state of Qatar. Therefore, a specialized congenital anomaly data registry is needed to identify risk factors and outcomes. In addition, counselling of mothers and their families may help to identify specific needs for pregnant women and their babies.
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