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Epidemiology of birth defects based on a birth defects surveillance system in southwestern China and the associated risk factors
BACKGROUND: Birth defects (BDs) are associated with many potential risk factors, and its causes are complex. OBJECTIVES: This study aimed to explore the epidemiological characteristics of BDs in Guangxi of China and the associated risk factors of BDs. METHODS: BDs data of perinatal infants (PIs) wer...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401059/ https://www.ncbi.nlm.nih.gov/pubmed/37547102 http://dx.doi.org/10.3389/fped.2023.1165477 |
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author | Peng, Zhenren Wei, Jie Chen, Biyan Huang, Xiuning Song, Pengshu Liang, Lifang He, Jiajia Feng, Baoying Que, Ting Qin, Jie Xie, Yu'an Qiu, Xiaoxia Wei, Hongwei He, Sheng |
author_facet | Peng, Zhenren Wei, Jie Chen, Biyan Huang, Xiuning Song, Pengshu Liang, Lifang He, Jiajia Feng, Baoying Que, Ting Qin, Jie Xie, Yu'an Qiu, Xiaoxia Wei, Hongwei He, Sheng |
author_sort | Peng, Zhenren |
collection | PubMed |
description | BACKGROUND: Birth defects (BDs) are associated with many potential risk factors, and its causes are complex. OBJECTIVES: This study aimed to explore the epidemiological characteristics of BDs in Guangxi of China and the associated risk factors of BDs. METHODS: BDs data of perinatal infants (PIs) were obtained from the Guangxi birth defects monitoring network between 2016 and 2020. Univariate Poisson regression was used to calculate the prevalence-rate ratios (PRR) to explore the changing trends of BDs prevalence by year and the correlation between the regarding of characteristics of BDs (including infant gender, maternal age, and quarter) and BDs. Clinical characteristics of PIs with BDs and general characteristics of their mothers were documented, and Spearman correlation analysis was used to explore the potential associated risk factors of BDs. RESULTS: Between 2016 and 2020, 44,146 PIs with BDs were monitored, with an overall BDs prevalence of 121.71 (95% CI: 120.58–122.84) per 10,000 PIs, showing a significant increase trend (PRR = 1.116, 95% CI: 1.108–1.123), especially the prevalence of congenital heart defects (CHDs) that most significantly increased (PRR = 1.300, 95% CI: 1.283–1.318). The 10 most common BDs were CHDs, polydactyly, congenital talipes equinovarus, other malformation of external ear, syndactyly, hypospadias, cleft lip with cleft palate, cleft lip, hemoglobin Bart's hydrops fetalis syndrome (BHFS), and congenital atresia of the rectum and anus. BDs were positively correlated with pregnant women's age (R = 0.732, P < 0.01) and education level (R = 0.586, P < 0.05) and having pre-gestational diabetes mellitus (PGDM)/gestational diabetes mellitus (GDM) (R = 0.711, P < 0.01), while when the pregnant women had a family history of a dead fetus (R = −0.536, P < 0.05) and a birth of a fetus with BDs (R = −0.528, P < 0.05) were negatively correlated with BDs. CONCLUSION: A significant increase in the prevalence of BDs was detected between 2016 and 2020 in Guangxi, especially the prevalence of CHDs that most significantly increased. Older maternal age, higher maternal education level, and having PGDM before pregnancy or GDM in early pregnancy were the risk factors for BDs. |
format | Online Article Text |
id | pubmed-10401059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104010592023-08-05 Epidemiology of birth defects based on a birth defects surveillance system in southwestern China and the associated risk factors Peng, Zhenren Wei, Jie Chen, Biyan Huang, Xiuning Song, Pengshu Liang, Lifang He, Jiajia Feng, Baoying Que, Ting Qin, Jie Xie, Yu'an Qiu, Xiaoxia Wei, Hongwei He, Sheng Front Pediatr Pediatrics BACKGROUND: Birth defects (BDs) are associated with many potential risk factors, and its causes are complex. OBJECTIVES: This study aimed to explore the epidemiological characteristics of BDs in Guangxi of China and the associated risk factors of BDs. METHODS: BDs data of perinatal infants (PIs) were obtained from the Guangxi birth defects monitoring network between 2016 and 2020. Univariate Poisson regression was used to calculate the prevalence-rate ratios (PRR) to explore the changing trends of BDs prevalence by year and the correlation between the regarding of characteristics of BDs (including infant gender, maternal age, and quarter) and BDs. Clinical characteristics of PIs with BDs and general characteristics of their mothers were documented, and Spearman correlation analysis was used to explore the potential associated risk factors of BDs. RESULTS: Between 2016 and 2020, 44,146 PIs with BDs were monitored, with an overall BDs prevalence of 121.71 (95% CI: 120.58–122.84) per 10,000 PIs, showing a significant increase trend (PRR = 1.116, 95% CI: 1.108–1.123), especially the prevalence of congenital heart defects (CHDs) that most significantly increased (PRR = 1.300, 95% CI: 1.283–1.318). The 10 most common BDs were CHDs, polydactyly, congenital talipes equinovarus, other malformation of external ear, syndactyly, hypospadias, cleft lip with cleft palate, cleft lip, hemoglobin Bart's hydrops fetalis syndrome (BHFS), and congenital atresia of the rectum and anus. BDs were positively correlated with pregnant women's age (R = 0.732, P < 0.01) and education level (R = 0.586, P < 0.05) and having pre-gestational diabetes mellitus (PGDM)/gestational diabetes mellitus (GDM) (R = 0.711, P < 0.01), while when the pregnant women had a family history of a dead fetus (R = −0.536, P < 0.05) and a birth of a fetus with BDs (R = −0.528, P < 0.05) were negatively correlated with BDs. CONCLUSION: A significant increase in the prevalence of BDs was detected between 2016 and 2020 in Guangxi, especially the prevalence of CHDs that most significantly increased. Older maternal age, higher maternal education level, and having PGDM before pregnancy or GDM in early pregnancy were the risk factors for BDs. Frontiers Media S.A. 2023-07-21 /pmc/articles/PMC10401059/ /pubmed/37547102 http://dx.doi.org/10.3389/fped.2023.1165477 Text en © 2023 Peng, Wei, Chen, Huang, Song, Liang, He, Feng, Que, Qin, Xie, Qiu, Wei and He. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pediatrics Peng, Zhenren Wei, Jie Chen, Biyan Huang, Xiuning Song, Pengshu Liang, Lifang He, Jiajia Feng, Baoying Que, Ting Qin, Jie Xie, Yu'an Qiu, Xiaoxia Wei, Hongwei He, Sheng Epidemiology of birth defects based on a birth defects surveillance system in southwestern China and the associated risk factors |
title | Epidemiology of birth defects based on a birth defects surveillance system in southwestern China and the associated risk factors |
title_full | Epidemiology of birth defects based on a birth defects surveillance system in southwestern China and the associated risk factors |
title_fullStr | Epidemiology of birth defects based on a birth defects surveillance system in southwestern China and the associated risk factors |
title_full_unstemmed | Epidemiology of birth defects based on a birth defects surveillance system in southwestern China and the associated risk factors |
title_short | Epidemiology of birth defects based on a birth defects surveillance system in southwestern China and the associated risk factors |
title_sort | epidemiology of birth defects based on a birth defects surveillance system in southwestern china and the associated risk factors |
topic | Pediatrics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401059/ https://www.ncbi.nlm.nih.gov/pubmed/37547102 http://dx.doi.org/10.3389/fped.2023.1165477 |
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