Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study
<p dir="ltr">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 Pe...
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| مؤلفون آخرون: | , , , , , , , , , , , , , , , , , |
| منشور في: |
2023
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| _version_ | 1864513528352735232 |
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| author | Nader Al-Dewik (4166527) |
| author2 | Muthanna Samara (11619435) Salma Younes (6424865) Rana Al-jurf (11619441) Gheyath Nasrallah (11619444) Sawsan Al-Obaidly (11619447) Husam Salama (11619450) Tawa Olukade (11619453) Sara Hammuda (11619456) Neil Marlow (331897) Mohamed Ismail (349568) Taghreed Abu Nada (17886689) M. Walid Qoronfleh (14153088) Binny Thomas (5801969) Ghassan Abdoh (11619459) Palli Valapila Abdulrouf (11619462) Thomas Farrell (3933833) Mai Al Qubaisi (17886692) Hilal Al Rifai (17039850) |
| author2_role | author author author author author author author author author author author author author author author author author author |
| author_facet | Nader Al-Dewik (4166527) Muthanna Samara (11619435) Salma Younes (6424865) Rana Al-jurf (11619441) Gheyath Nasrallah (11619444) Sawsan Al-Obaidly (11619447) Husam Salama (11619450) Tawa Olukade (11619453) Sara Hammuda (11619456) Neil Marlow (331897) Mohamed Ismail (349568) Taghreed Abu Nada (17886689) M. Walid Qoronfleh (14153088) Binny Thomas (5801969) Ghassan Abdoh (11619459) Palli Valapila Abdulrouf (11619462) Thomas Farrell (3933833) Mai Al Qubaisi (17886692) Hilal Al Rifai (17039850) |
| author_role | author |
| dc.creator.none.fl_str_mv | Nader Al-Dewik (4166527) Muthanna Samara (11619435) Salma Younes (6424865) Rana Al-jurf (11619441) Gheyath Nasrallah (11619444) Sawsan Al-Obaidly (11619447) Husam Salama (11619450) Tawa Olukade (11619453) Sara Hammuda (11619456) Neil Marlow (331897) Mohamed Ismail (349568) Taghreed Abu Nada (17886689) M. Walid Qoronfleh (14153088) Binny Thomas (5801969) Ghassan Abdoh (11619459) Palli Valapila Abdulrouf (11619462) Thomas Farrell (3933833) Mai Al Qubaisi (17886692) Hilal Al Rifai (17039850) |
| dc.date.none.fl_str_mv | 2023-02-07T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1038/s41598-023-27935-3 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Prevalence_predictors_and_outcomes_of_major_congenital_anomalies_A_population-based_register_study/25125596 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Paediatrics Reproductive medicine Health sciences Epidemiology Public health Congenital anomalies Birth defects Public health Infant mortality Epidemiology Neonatal outcomes Population-based study Perinatal outcomes International Classification of Diseases (ICD) Neonatal care Maternal age Chronic hypertension Caesarean deliveries Prematurity Low birth weight In-hospital mortality Neonatal intensive care unit (NICU) Genetic counseling Precision medicine |
| dc.title.none.fl_str_mv | Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Scientific Reports<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1038/s41598-023-27935-3" target="_blank">https://dx.doi.org/10.1038/s41598-023-27935-3</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_9f588a3ab7eeca3eb6f7fbf63cb8d713 |
| identifier_str_mv | 10.1038/s41598-023-27935-3 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25125596 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register studyNader Al-Dewik (4166527)Muthanna Samara (11619435)Salma Younes (6424865)Rana Al-jurf (11619441)Gheyath Nasrallah (11619444)Sawsan Al-Obaidly (11619447)Husam Salama (11619450)Tawa Olukade (11619453)Sara Hammuda (11619456)Neil Marlow (331897)Mohamed Ismail (349568)Taghreed Abu Nada (17886689)M. Walid Qoronfleh (14153088)Binny Thomas (5801969)Ghassan Abdoh (11619459)Palli Valapila Abdulrouf (11619462)Thomas Farrell (3933833)Mai Al Qubaisi (17886692)Hilal Al Rifai (17039850)Biomedical and clinical sciencesPaediatricsReproductive medicineHealth sciencesEpidemiologyPublic healthCongenital anomaliesBirth defectsPublic healthInfant mortalityEpidemiologyNeonatal outcomesPopulation-based studyPerinatal outcomesInternational Classification of Diseases (ICD)Neonatal careMaternal ageChronic hypertensionCaesarean deliveriesPrematurityLow birth weightIn-hospital mortalityNeonatal intensive care unit (NICU)Genetic counselingPrecision medicine<p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Scientific Reports<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1038/s41598-023-27935-3" target="_blank">https://dx.doi.org/10.1038/s41598-023-27935-3</a></p>2023-02-07T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1038/s41598-023-27935-3https://figshare.com/articles/journal_contribution/Prevalence_predictors_and_outcomes_of_major_congenital_anomalies_A_population-based_register_study/25125596CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/251255962023-02-07T03:00:00Z |
| spellingShingle | Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study Nader Al-Dewik (4166527) Biomedical and clinical sciences Paediatrics Reproductive medicine Health sciences Epidemiology Public health Congenital anomalies Birth defects Public health Infant mortality Epidemiology Neonatal outcomes Population-based study Perinatal outcomes International Classification of Diseases (ICD) Neonatal care Maternal age Chronic hypertension Caesarean deliveries Prematurity Low birth weight In-hospital mortality Neonatal intensive care unit (NICU) Genetic counseling Precision medicine |
| status_str | publishedVersion |
| title | Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study |
| title_full | Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study |
| title_fullStr | Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study |
| title_full_unstemmed | Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study |
| title_short | Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study |
| title_sort | Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study |
| topic | Biomedical and clinical sciences Paediatrics Reproductive medicine Health sciences Epidemiology Public health Congenital anomalies Birth defects Public health Infant mortality Epidemiology Neonatal outcomes Population-based study Perinatal outcomes International Classification of Diseases (ICD) Neonatal care Maternal age Chronic hypertension Caesarean deliveries Prematurity Low birth weight In-hospital mortality Neonatal intensive care unit (NICU) Genetic counseling Precision medicine |