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Staniczek J, Manasar-Dyrbuś M, Rybak-Krzyszkowska M, Kondracka A, Orszulak D, Niziński K, Sadłocha M, Drosdzol-Cop A, Stojko R, Illa M. Systematic review and meta-analysis of the association between young maternal age and fetal abnormalities. Sci Rep 2024; 14:22562. [PMID: 39343828 PMCID: PMC11439902 DOI: 10.1038/s41598-024-74015-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 09/23/2024] [Indexed: 10/01/2024] Open
Abstract
Fetal anomalies among young women and adolescents pose major public health concerns. This systematic review aims to elucidate the relationship between young maternal age and the incidence of fetal abnormalities. According to the systematic review and meta-analysis PRISMA protocol, cohort, cross-sectional and case-control studies were scrutinized to include 80,393,450 participants across diverse regions. The meta-analysis utilized Odds Ratios (OR) as the effect measure, adopting a random-effects model. The screening process involved 157 selected and verified manuscripts, which ultimately resulted in the final inclusion of 20 studied in the meta-analysis. The criterion for young maternal age was the age of ≤ 20 years. The meta-analysis revealed a pooled OR of 0.93 (95% CI: 0.82-1.05, p = 0.252), indicating no statistically significant association between young maternal age (≤ 20 years) and fetal anomalies. However, considerable heterogeneity (I² = 96.21%) was noted, prompting the use of a random-effects model to derive the reported results. The meta-analysis did not find statistically significant differences in the occurrence of congenital anomalies in fetuses of younger women than in overall population. Although due to significant heterogeneity of the analyzed studies, and a risk of bias, caution should be exercised when interpreting the results, further investigation may be warranted to understand the relationship between maternal age and risk of fetal anomalies. Nevertheless, the study shows significant differences, which diminish in collective analysis, suggests that factors beyond age may be influential. Specifically, the limited access to or quality of healthcare in certain regions could be a more critical factor than maternal age itself.
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Affiliation(s)
- Jakub Staniczek
- Department of Gynecology, Obstetrics and Gynecological Oncology, Medical University of Silesia, Katowice, 40-211, Poland.
| | - Maisa Manasar-Dyrbuś
- Department of Gynecology, Obstetrics and Gynecological Oncology, Medical University of Silesia, Katowice, 40-211, Poland
| | | | - Adrianna Kondracka
- Department of Obstetrics and Pathology of Pregnancy, Medical University of Lublin, Lublin, 20-059, Poland
| | - Dominika Orszulak
- Department of Gynecology, Obstetrics and Gynecological Oncology, Medical University of Silesia, Katowice, 40-211, Poland
| | - Kacper Niziński
- Department of Gynecology, Obstetrics and Gynecological Oncology, Medical University of Silesia, Katowice, 40-211, Poland
| | - Marcin Sadłocha
- Department of Gynecology, Obstetrics and Gynecological Oncology, Medical University of Silesia, Katowice, 40-211, Poland
| | - Agnieszka Drosdzol-Cop
- Department of Gynecology, Obstetrics and Gynecological Oncology, Medical University of Silesia, Katowice, 40-211, Poland
| | - Rafał Stojko
- Department of Gynecology, Obstetrics and Gynecological Oncology, Medical University of Silesia, Katowice, 40-211, Poland
| | - Miriam Illa
- BCNatal | Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), Universitat de Barcelona, Barcelona, 08028, Spain
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Zhou X, Xie D, Jiang Y, Fang J. Prevalence and death rate of birth defects from population-based surveillance in Hunan Province, China, 2010-2020. Sci Rep 2024; 14:14609. [PMID: 38918397 PMCID: PMC11199636 DOI: 10.1038/s41598-024-65072-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 06/17/2024] [Indexed: 06/27/2024] Open
Abstract
To describe the prevalence and death rate of birth defects from population-based surveillance in Hunan Province, China. Data were obtained from the population-based Birth Defects Surveillance System in Hunan Province, China (2010-2020). The surveillance population included all live births, stillbirths, infant deaths, and legal terminations of pregnancy from 28 weeks of gestation to 42 days after birth between 2010 and 2020 when the mother resided in the surveillance area (Liuyang County and Shifeng District, Hunan Province). The prevalence of birth defects is the number of birth defects per 1000 infants (‰). The death rate of birth defects is the number of deaths attributable to birth defects per 100 birth defects (%). The prevalence and death rate with 95% confidence intervals (CI) were calculated by the log-binomial method. Crude odds ratios (ORs) were calculated to examine the association of each demographic characteristic with birth defects. Our study included 228,444 infants, and 4453 birth defects were identified, with a prevalence of 19.49‰ (95%CI 18.92-20.07). Congenital heart defects were the most common specific defects (5.29‰), followed by limb defects (4.01‰). Birth defects were more common in males than females (22.34‰ vs. 16.26‰, OR = 1.38, 95%CI 1.30-1.47), in premature birth than not (91.82‰ vs. 16.14‰, OR = 6.16, 95%CI 5.72-6.65), in birth weight < 2500 g (98.26‰ vs. 16.22‰, OR = 6.61, 95%CI 6.11-7.15) or > 4000 g (19.48‰ vs. 16.22‰, OR = 1.21, 95%CI 1.03-1.42) than birth weight 2500-4000 g, in hospitalized deliveries than other institutions (22.16‰ vs. 11.74‰, OR = 1.91, 95%CI 1.76-2.07), in multiple births than singletons (28.50‰ vs. 19.28‰, OR = 1.49, 95%CI 1.27-1.76), in maternal age < 20 years (26.33‰ vs. 18.69‰, OR = 1.42, 95%CI 1.15-1.76) or > = 35 years (24.31‰ vs. 18.69‰, OR = 1.31, 95%CI 1.18-1.45) than maternal age 25-29 years, and in number of pregnancies > = 4 (22.91‰ vs. 18.92‰, OR = 1.22, 95%CI 1.10-1.35) than the first pregnancy. A total of 747 deaths attributable to birth defects were identified, including 603 (80.72%) stillbirths, 75 (10.04%) deaths within 7 days after birth, 46 (6.16%) deaths in 7-27 days after birth, 23 (3.08%) deaths in 28-42 days after birth. The death rate of birth defects was 16.78% (95%CI 15.57-17.98). Deaths attributable to birth defects accounted for 51.09% (747/1462) of all deaths. Central nervous system defects had the highest death rate (90.27%), and neonatal genetic metabolic defects had the lowest death rate (0.39%). In summary, we have described the prevalence and epidemiology of birth defects from population-based surveillance in Hunan Province, China, 2010-2020. There were differences in the prevalence and death rate of birth defects between population-based surveillance and hospital-based surveillance.
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Affiliation(s)
- Xu Zhou
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410000, Hunan Province, China
| | - Donghua Xie
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410000, Hunan Province, China
| | - Yurong Jiang
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410000, Hunan Province, China.
| | - Junqun Fang
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410000, Hunan Province, China.
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Zhou X, He J, Wang A, Hua X, Li T, Shu C, Fang J. Multivariate logistic regression analysis of risk factors for birth defects: a study from population-based surveillance data. BMC Public Health 2024; 24:1037. [PMID: 38622560 PMCID: PMC11017609 DOI: 10.1186/s12889-024-18420-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 03/22/2024] [Indexed: 04/17/2024] Open
Abstract
OBJECTIVE To explore risk factors for birth defects (including a broad range of specific defects). METHODS Data were derived from the Population-based Birth Defects Surveillance System in Hunan Province, China, 2014-2020. The surveillance population included all live births, stillbirths, infant deaths, and legal termination of pregnancy between 28 weeks gestation and 42 days postpartum. The prevalence of birth defects (number of birth defects per 1000 infants) and its 95% confidence interval (CI) were calculated. Multivariate logistic regression analysis (method: Forward, Wald, α = 0.05) and adjusted odds ratios (ORs) were used to identify risk factors for birth defects. We used the presence or absence of birth defects (or specific defects) as the dependent variable, and eight variables (sex, residence, number of births, paternal age, maternal age, number of pregnancies, parity, and maternal household registration) were entered as independent variables in multivariate logistic regression analysis. RESULTS Our study included 143,118 infants, and 2984 birth defects were identified, with a prevalence of 20.85% (95%CI: 20.10-21.60). Multivariate logistic regression analyses showed that seven variables (except for parity) were associated with birth defects (or specific defects). There were five factors associated with the overall birth defects. The risk factors included males (OR = 1.49, 95%CI: 1.39-1.61), multiple births (OR = 1.44, 95%CI: 1.18-1.76), paternal age < 20 (OR = 2.20, 95%CI: 1.19-4.09) or 20-24 (OR = 1.66, 95%CI: 1.42-1.94), maternal age 30-34 (OR = 1.16, 95%CI: 1.04-1.29) or > = 35 (OR = 1.56, 95%CI: 1.33-1.81), and maternal non-local household registration (OR = 2.96, 95%CI: 2.39-3.67). Some factors were associated with the specific defects. Males were risk factors for congenital metabolic disorders (OR = 3.86, 95%CI: 3.15-4.72), congenital limb defects (OR = 1.34, 95%CI: 1.14-1.58), and congenital kidney and urinary defects (OR = 2.35, 95%CI: 1.65-3.34). Rural areas were risk factors for congenital metabolic disorders (OR = 1.21, 95%CI: 1.01-1.44). Multiple births were risk factors for congenital heart defects (OR = 2.09, 95%CI: 1.55-2.82), congenital kidney and urinary defects (OR = 2.14, 95%CI: 1.05-4.37), and cleft lip and/or palate (OR = 2.85, 95%CI: 1.32-6.15). Paternal age < 20 was the risk factor for congenital limb defects (OR = 3.27, 95%CI: 1.10-9.71), 20-24 was the risk factor for congenital heart defects (OR = 1.64, 95%CI: 1.24-2.17), congenital metabolic disorders (OR = 1.56, 95%CI: 1.11-2.21), congenital limb defects (OR = 1.61, 95%CI: 1.14-2.29), and congenital ear defects (OR = 2.13, 95%CI: 1.17-3.89). Maternal age < 20 was the risk factor for cleft lip and/or palate (OR = 3.14, 95%CI: 1.24-7.95), 30-34 was the risk factor for congenital limb defects (OR = 1.37, 95%CI: 1.09-1.73), >=35 was the risk factor for congenital heart defects (OR = 1.51, 95%CI: 1.14-1.99), congenital limb defects (OR = 1.98, 95%CI: 1.41-2.78), and congenital ear defects (OR = 1.82, 95%CI: 1.06-3.10). Number of pregnancies = 2 was the risk factor for congenital nervous system defects (OR = 2.27, 95%CI: 1.19-4.32), >=4 was the risk factor for chromosomal abnormalities (OR = 2.03, 95%CI: 1.06-3.88) and congenital nervous system defects (OR = 3.03, 95%CI: 1.23-7.47). Maternal non-local household registration was the risk factor for congenital heart defects (OR = 3.57, 95%CI: 2.54-5.03), congenital metabolic disorders (OR = 1.89, 95%CI: 1.06-3.37), congenital limb defects (OR = 2.94, 95%CI: 1.86-4.66), and congenital ear defects (OR = 3.26, 95%CI: 1.60-6.65). CONCLUSION In summary, several risk factors were associated with birth defects (including a broad range of specific defects). One risk factor may be associated with several defects, and one defect may be associated with several risk factors. Future studies should examine the mechanisms. Our findings have significant public health implications as some factors are modifiable or avoidable, such as promoting childbirths at the appropriate age, improving the medical and socio-economic conditions of non-local household registration residents, and devoting more resources to some specific defects in high-risk groups, which may help reducing birth defects in China.
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Affiliation(s)
- Xu Zhou
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, 410000, China
| | - Jian He
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, 410000, China
| | - Aihua Wang
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, 410000, China
| | - Xinjun Hua
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, 410000, China
| | - Ting Li
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, 410000, China
| | - Chuqiang Shu
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, 410000, China.
| | - Junqun Fang
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan Province, 410000, China.
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Jiang K, Kalluri AL, Ran KR, Spann M, Kanmounye US, Ammar A, Abu-Bonsrah N, Groves ML. Comparative Scoping Review of Prenatal Care Resources for Families of Children With Spinal Dysraphism and Hydrocephalus in High-Income Countries and Low- and Middle-Income Countries. Neurosurgery 2024; 94:657-665. [PMID: 37947403 DOI: 10.1227/neu.0000000000002750] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 09/02/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Low- and middle-income countries (LMICs) face higher incidences and burdens of care for neural tube defects (NTDs) and hydrocephalus compared with high-income countries (HICs), in part due to limited access to neurosurgical intervention. In this scoping review, we aim to integrate studies on prenatal care, counseling, and surgical management for families of children with spinal dysraphism and hydrocephalus in LMICs and HICs. METHODS PubMed, Embase, Global Index Medicus, and Web of Science electronic databases were searched for English language articles pertaining to prenatal care, counseling, and surgical management for families of children with spinal dysraphism and hydrocephalus in HICs and LMICs. Identified abstracts were screened for full-text review. Studies meeting inclusion criteria were reviewed in full and analyzed. RESULTS Seventy studies met the inclusion criteria. Twelve studies (16.9%) were conducted in HICs only, 50 studies (70.4%) were conducted in LMICs only, and 9 studies (12.7%) encompassed both. On thematic analysis, seven underlying topics were identified: epidemiology, folate deficiency and supplementation/fortification, risk factors other than folate deficiency, prenatal screening, attitudes and perceptions about NTDs and their care, surgical management, and recommendations for guideline implementation. CONCLUSION NTDs have become a widely acknowledged public health problem in many LMICs. Prenatal counseling and care and folate fortification are critical in the prevention of spinal dysraphism. However, high-quality, standardized studies reporting their epidemiology, prevention, and management remain scarce. Compared with NTDs, research on the prevention and screening of hydrocephalus is even further limited. Future studies are necessary to quantify the burden of disease and identify strategies for improving global outcomes in treating and reducing the prevalence of NTDs and hydrocephalus. Surgical management of NTDs in LMICs is currently limited, but pediatric neurosurgeons may be uniquely equipped to address disparities in the care and counseling of families of children with spinal dysraphism and hydrocephalus.
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Affiliation(s)
- Kelly Jiang
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore , Maryland , USA
| | - Anita L Kalluri
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore , Maryland , USA
| | - Kathleen R Ran
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore , Maryland , USA
| | - Marcus Spann
- Informationist Services, Johns Hopkins School of Medicine, Baltimore , Maryland , USA
| | | | - Adam Ammar
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore , Maryland , USA
| | - Nancy Abu-Bonsrah
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore , Maryland , USA
| | - Mari L Groves
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore , Maryland , USA
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Zhao Z, Liu W, Hu J, Chen S, Gao Y, Wang H, Luo M, Zhou T, Zhang G. Cohort Profile: China Southwest Birth Cohort (CSBC). Int J Epidemiol 2023; 52:e347-e353. [PMID: 37440714 PMCID: PMC10749777 DOI: 10.1093/ije/dyad103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 07/04/2023] [Indexed: 07/15/2023] Open
Affiliation(s)
- Ziling Zhao
- Obstetrics Department, Sichuan Provincial Maternity and Child Health Care Hospital (The Affiliated Women’s and Children’s Hospital of Chengdu Medical College), Chengdu, China
| | - Weixin Liu
- Obstetrics Department, Sichuan Provincial Maternity and Child Health Care Hospital (The Affiliated Women’s and Children’s Hospital of Chengdu Medical College), Chengdu, China
| | - Jinnuo Hu
- Obstetrics Department, Sichuan Provincial Maternity and Child Health Care Hospital (The Affiliated Women’s and Children’s Hospital of Chengdu Medical College), Chengdu, China
| | - Shiqi Chen
- Obstetrics Department, Sichuan Provincial Maternity and Child Health Care Hospital (The Affiliated Women’s and Children’s Hospital of Chengdu Medical College), Chengdu, China
| | - Yan Gao
- Obstetrics Department, Sichuan Provincial Maternity and Child Health Care Hospital (The Affiliated Women’s and Children’s Hospital of Chengdu Medical College), Chengdu, China
| | - Hong Wang
- Obstetrics Department, Sichuan Provincial Maternity and Child Health Care Hospital (The Affiliated Women’s and Children’s Hospital of Chengdu Medical College), Chengdu, China
| | - Min Luo
- Obstetrics Department, Sichuan Provincial Maternity and Child Health Care Hospital (The Affiliated Women’s and Children’s Hospital of Chengdu Medical College), Chengdu, China
| | - Tianjin Zhou
- Obstetrics Department, Sichuan Provincial Maternity and Child Health Care Hospital (The Affiliated Women’s and Children’s Hospital of Chengdu Medical College), Chengdu, China
| | - Gang Zhang
- Obstetrics Department, Sichuan Provincial Maternity and Child Health Care Hospital (The Affiliated Women’s and Children’s Hospital of Chengdu Medical College), Chengdu, China
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Yu JY, Jiang B, Zhang XJ, Wei SS, He WC. History of induced abortion and the risk of preterm birth: a retrospective cohort study. J Matern Fetal Neonatal Med 2023; 36:2207114. [PMID: 37121908 DOI: 10.1080/14767058.2023.2207114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
OBJECTIVES To explore the relationship between a history of induced abortion and follow-up preterm birth. METHODS We performed a retrospective cohort study of 27,176 women aged 19 to 48 years old in the city of Dongguan. Participants were divided into two groups according to the history of induced abortion. We used log-binomial regression to estimate adjusted risk ratios of preterm birth (gestation at less than 37 weeks) and early preterm birth (gestation at less than 34 weeks) for women with a history of induced abortion. Four models adjusted for different baseline data were used to verify the stability of the results. We also performed a subgroup analysis and mediation effect analysis to control for the influence of confounding factors and analyzed the relationship between the number of abortions and subsequent preterm birth. RESULTS Our study included 2,985 women who had undergone a prior induced abortion. Women who reported having a prior induced abortion were more likely to have preterm births before 37 weeks and 34 weeks, with risk ratios of 1.18 (95% CI 1.02-1.36) and 1.65 (95% CI 1.23-2.21), respectively. The above associations were stable in all models. We also found that a history of induced abortion was independently associated with a higher risk of preterm birth and early preterm birth in the subgroups. After controlling for the indirect effect of demographic data, the direct effect of abortion history on follow-up preterm delivery was still significantly different. The higher the number of abortions, the greater the risk of subsequent preterm birth. CONCLUSIONS This study suggests that induced abortion increases the risk of subsequent preterm birth.
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Affiliation(s)
- Jing-Yun Yu
- Dongguan Maternal and Child Health Care Hospital, China
| | - Bi Jiang
- Dongguan Maternal and Child Health Care Hospital, China
| | | | - Si-Si Wei
- Dongguan Maternal and Child Health Care Hospital, China
| | - Wei-Chao He
- Dongguan Maternal and Child Health Care Hospital, China
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Peng Z, Wei J, Chen B, Huang X, Song P, Liang L, He J, Feng B, Que T, Qin J, Xie Y, Qiu X, Wei H, He S. Epidemiology of birth defects based on a birth defects surveillance system in southwestern China and the associated risk factors. Front Pediatr 2023; 11:1165477. [PMID: 37547102 PMCID: PMC10401059 DOI: 10.3389/fped.2023.1165477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 07/05/2023] [Indexed: 08/08/2023] Open
Abstract
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.
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Affiliation(s)
- Zhenren Peng
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Jie Wei
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Biyan Chen
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Xiuning Huang
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Pengshu Song
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Lifang Liang
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Jiajia He
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Baoying Feng
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Ting Que
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Jie Qin
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Yu'an Xie
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Xiaoxia Qiu
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Hongwei Wei
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
| | - Sheng He
- Birth Defects Research Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region,Nanning, China
- Birth Defects Research Laboratory, Birth Defects Prevention and Control Institute of Guangxi Zhuang Autonomous Region, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Nanning, China
- Birth Defects Research Laboratory, Guangxi Key Laboratory of Birth Defects Research and Prevention, Nanning, China
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Ahn D, Kim J, Kang J, Kim YH, Kim K. Congenital anomalies and maternal age: A systematic review and meta-analysis of observational studies. Acta Obstet Gynecol Scand 2022; 101:484-498. [PMID: 35288928 DOI: 10.1111/aogs.14339] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 01/31/2022] [Accepted: 02/11/2022] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Several studies have reported on the maternal age-associated risks of congenital anomalies. However, there is a paucity of studies with comprehensive review of anomalies. We aimed to quantify the risk of birth defects in children born to middle-aged mothers compared with that in children born to young or older mothers. MATERIAL AND METHODS We classified maternal ages into three groups: young (<20 years old), middle (20-34 years old) and older age (≥35 years old). Observational studies that met our age criteria were eligible for inclusion. The articles searched using the Embase and MEDLINE databases were those published from 1989 to January 21, 2021. The Newcastle-Ottawa scale was used to assess the risk of bias. If heterogeneity exceeded 50%, the random effect method was used; otherwise, the fixed-effect method was used. Prospero registration number: CRD42021235229. RESULTS We included 15 cohort, 14 case-control and 36 cross-sectional studies. The pooled unadjusted odds ratio (95% CI) of any congenital anomaly was 1.64 (1.40-1.92) and 1.05 (0.95-1.15) in the older and young age groups, respectively (very low quality of evidence). The pooled unadjusted odds ratio of chromosomal anomaly was 5.64 (5.13-6.20) and 0.69 (0.54-0.88) in the older and young age groups, respectively. The pooled unadjusted odds ratio of non-chromosomal anomaly was 1.09 (1.01-1.17) and 1.10 (1.01-1.21) in the older and young age groups, respectively (very low quality of evidence). The incidence of abdominal wall defects was increased in children of women in the young maternal age group. CONCLUSIONS We identified that very low quality evidence suggests that women in the older maternal age group had increased odds of having children with congenital anomalies compared with those in the 20-34 year age group. There was no increase in odds of children with congenital anomalies in women of <20 year age group except for abdominal defects compared with those in the 20-34 year age group. The results stem from very low quality evidence with no adjustment of confounders.
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Affiliation(s)
- Damin Ahn
- School of Dentistry, Pusan National University, Yangsan, Republic of Korea
| | - Jieon Kim
- School of Dentistry, Pusan National University, Yangsan, Republic of Korea
| | - Junyeong Kang
- School of Dentistry, Pusan National University, Yangsan, Republic of Korea
| | - Yun Hak Kim
- Department of Biomedical Informatics, School of Medicine, Yangsan, Pusan National University, Gyeongsangnam-do, Republic of Korea.,Department of Anatomy, School of Medicine, Yangsan, Pusan National University, Gyeongsangnam-do, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Yangsan, Pusan National University Yangsan Hospital, Gyeongsangnam-do, Republic of Korea
| | - Kihun Kim
- Department of Occupational and Environmental Medicine, Kosin University Gospel Hospital, Busan, Republic of Korea
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