1
|
Li H, Hu J, Wu Q, Qiu J, Zhang L, Zhu J. Chromosomal abnormalities detected by chromosomal microarray analysis and pregnancy outcomes of 4211 fetuses with high-risk prenatal indications. Sci Rep 2024; 14:15920. [PMID: 38987582 PMCID: PMC11237145 DOI: 10.1038/s41598-024-67123-5] [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: 12/27/2023] [Accepted: 07/08/2024] [Indexed: 07/12/2024] Open
Abstract
With the gradual liberalization of the three-child policy and the development of assisted reproductive technology in China, the number of women with high-risk pregnancies is gradually increasing. In this study, 4211 fetuses who underwent chromosomal microarray analysis (CMA) with high-risk prenatal indications were analysed. The results showed that the overall prenatal detection rate of CMA was 11.4% (480/4211), with detection rates of 5.82% (245/4211) for abnormal chromosome numbers and 5.58% (235/4211) for copy number variants. Additionally, the detection rates of clinically significant copy number variants were 3.78% (159/4211) and 1.8% (76/4211) for variants of uncertain significance. The detection rates of fetal chromosomal abnormalities were 6.42% (30/467) for pregnant women with advanced maternal age (AMA), 6.01% (50/832) for high-risk maternal serum screening (MSS) results, 39.09% (224/573) with abnormal non-invasive prenatal testing (NIPT) results, 9.21% (127/1379) with abnormal ultrasound results, and 5.1% (49/960) for other indications. Follow-up results were available for 4211 patients, including 3677 (3677/4211, 87.32%) whose infants were normal after birth, 462 (462/4211, 10.97%) who terminated their pregnancy, 51 (51/4211, 1.21%) whose infants were abnormal after birth, and 21 (21/4211, 0.50%) who refused follow-up. The results of this study demonstrate significant variation in the diagnostic rate of chromosomal microarray analysis across different indications, providing valuable guidance for clinicians to assess the applicability of CMA technology in prenatal diagnosis.
Collapse
Affiliation(s)
- Huafeng Li
- Genetic Medical Center, Women and Children's Health Care Hospital of Linyi, Liyin, 276014, China
| | - Juan Hu
- Genetic Medical Center, Women and Children's Health Care Hospital of Linyi, Liyin, 276014, China
| | - Qingyu Wu
- Genetic Medical Center, Women and Children's Health Care Hospital of Linyi, Liyin, 276014, China
| | - Jigang Qiu
- Genetic Medical Center, Women and Children's Health Care Hospital of Linyi, Liyin, 276014, China
| | - Li Zhang
- Genetic Medical Center, Women and Children's Health Care Hospital of Linyi, Liyin, 276014, China
| | - Jinping Zhu
- Genetic Medical Center, Women and Children's Health Care Hospital of Linyi, Liyin, 276014, China.
| |
Collapse
|
2
|
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.
Collapse
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.
| |
Collapse
|
3
|
Portilla-Rojas E, Ramírez L, Moreno C, Lores J, Sarmiento K, Zarante I. A case-control study characterizing polydactyly risk factors in Bogotá and Cali, Colombia between 2002 and 2020. Birth Defects Res 2024; 116:e2312. [PMID: 38343155 DOI: 10.1002/bdr2.2312] [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: 09/02/2023] [Revised: 01/11/2024] [Accepted: 01/23/2024] [Indexed: 02/15/2024]
Abstract
BACKGROUND Polydactyly is a congenital abnormality characterized by the presence of additional fingers on one or more extremities. In Colombia, polydactyly accounted for 17% of musculoskeletal congenital abnormalities in 2021, with a prevalence of 6.03 per 10,000 live births. The purpose of this study was to determine the prevalence of polydactyly and identify associated risk factors in Bogotá and Cali, Colombia, from 2002 to 2020. METHODS A retrospective case-control study design was employed, analyzing data from birth defect reports provided by the Program for the Prevention and Follow-up of Congenital Defects and Orphan Diseases surveillance system. Cases included live births or stillbirths with polydactyly, while controls consisted of infants without congenital abnormality, matched in terms of birth date and hospital. Prevalence of polydactyly was calculated and risk factors were assessed through odds ratios obtained by logistic regression models, considering a 95% confidence interval. RESULTS Among the 558,255 births included in the study, 848 cases of polydactyly were identified, resulting in a prevalence rate of 15.19 per 10,000 live births. Risk factors associated with polydactyly included male newborn sex, pregestational diabetes, and a family history of malformation among first-degree relatives. CONCLUSION These findings highlight the importance a surveillance system aimed to characterize populations with congenital abnormalities, providing a better option for analyzing risk factors, help improving prevention, diagnosis, notification, and optimal treatment in patients.
Collapse
Affiliation(s)
| | - Lina Ramírez
- Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Camilo Moreno
- Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Juliana Lores
- Department of Basic Sciences, Faculty of Health Sciences, Pontificia Universidad Javeriana, Cali, Colombia
| | - Karen Sarmiento
- Department of Physiological Sciences, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Ignacio Zarante
- Human Genetics Institute, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
- Hospital Universitario San Ignacio, Bogotá, Colombia
| |
Collapse
|
4
|
Liu XX, Zhao DY, Zhao X, Zhang XA, Yu ZL, Sun LH. The effect of China's birth policy changes on birth defects-A large hospital-based cross-sectional study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:1156-1167. [PMID: 37158781 DOI: 10.1080/09603123.2023.2207469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 04/24/2023] [Indexed: 05/10/2023]
Abstract
A retrospective analysis of birth data hospital-based obtained from 14 monitoring areas in the Huaihe River Basin from 2009 to 2019 was conducted. Trend in the total prevalence of birth defects (BDs) and subgroups were analyzed using the Joinpoint Regression model. The incidence of BDs increased gradually from 118.87 per 10,000 in 2009 to 241.18 per 10,000 in 2019 (AAPC = 5.91, P < 0.001). Congenital heart diseases were the most common subtype of BDs. The proportion of maternal age younger than 25 decreased but the age 25-40 years increased significantly (AAPC<20=-5.58; AAPC20-24=-6.38; AAPC25-29 = 5.15; AAPC30-35 = 7.07; AAPC35-40 = 8.27; All P < 0.05). Compared with the one-child policy period, the risk of BDs was greater for groups among maternal age younger than 40 years during the partial and universal two-child policy period (P < 0.001). The incidence of BDs and the proportion of women with advanced maternal age in Huaihe River Basin is increasing. There was an interaction between changes in birth policy and the mother's age on the risk of BDs.
Collapse
Affiliation(s)
- Xin-Xin Liu
- The Third Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Dan-Yang Zhao
- The Third Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xin Zhao
- The Third Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiao-An Zhang
- The Third Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Zeng-Li Yu
- The Third Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Li-Huan Sun
- The Third Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| |
Collapse
|
5
|
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.
Collapse
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
| |
Collapse
|
6
|
Tooth wear prevalence in individuals with Down syndrome: a systematic review. Clin Oral Investig 2023; 27:943-953. [PMID: 36629964 DOI: 10.1007/s00784-022-04856-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 12/29/2022] [Indexed: 01/12/2023]
Abstract
OBJECTIVES This systematic review investigated the prevalence of tooth wear between patients with and without Down syndrome. METHODS Six databases (Embase, LILACS, Livivo, PubMed, Scopus and Web of Science) and grey literature (Google Scholar, OpenGrey and ProQuest) were searched until March 7, 2022. Observational studies were included to assess the differences in tooth wear prevalence and/or severity in Down syndrome and non-syndromic controls. Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) recommendations were followed. Three reviewers independently screened studies, extracted data, assessed the methodological quality (Joanna Briggs Institute) and graded the certainty of evidence through the Grading of Recommendations, Assessment, Development, Evaluation (GRADE) approach. Results were summarized through meta-analyses using a random-effects model. The protocol was registered at PROSPERO (CRD42021266997). RESULTS Of the 1382 records identified, six cross-sectional studies were included. Individuals with Down syndrome had a higher prevalence and were more likely to have tooth wear than individuals without Down syndrome (44% × 15%; OR = 4.43; 95% CI 3.17-6.18; p < 0.00001; I2 = 8%). Also, the severity of tooth wear was higher in the Down syndrome group (n = 275) compared with the controls (n = 294). The certainty of evidence analysis was very low. CONCLUSIONS Based on very low certainty of the evidence, patients with Down syndrome had a higher prevalence and likelihood and severity of tooth wear when compared to those without Down syndrome. CLINICAL RELEVANCE Screening early tooth wear lesions should be carefully done in the Down syndrome population since its occurrence is remarkable compared to the general population.
Collapse
|
7
|
Yang X, Zeng J, Gu Y, Fang Y, Wei C, Tan S, Zhang X. Birth defects data from hospital-based birth defect surveillance in Guilin, China, 2018-2020. Front Public Health 2022; 10:961613. [PMID: 36091541 PMCID: PMC9449144 DOI: 10.3389/fpubh.2022.961613] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 08/08/2022] [Indexed: 01/24/2023] Open
Abstract
Objectives Birth defects (BDs) are a major contributor to perinatal and infant mortality, morbidity and lifelong disability worldwide. A hospital-based study on birth defects was designed in Guilin city in the Guangxi province of Southwestern China aiming to determine the prevalence of BDs in the studied region, and the classify the BDs based on clinical presentation and causation. Methods The study involved BDs among all pregnancy outcomes (live births, stillbirths, death within 7 days, and pregnancy terminations) born in the 42 registered hospitals of Guilin between 2018 and 2020. The epidemiological characteristics of BDs and the etiologic profile of BDs were evaluated in this study. Results Of the total 147,817 births recorded during the study period, 2,003 infants with BDs were detected, giving a total prevalence rate of 13.55 per 1,000 births. The top five BD types were congenital heart defects, polydactyly, syndactyly, malformations of the external ear, and talipes equinovarus, whereas, neural tube defects, congential esophageal atresia, gastroschisis, extrophy of urinary bladder, were the least common BD types in these 3 years. Only 8.84% of cases were assigned a known etiology, while most cases (91.16%) could not be conclusively assigned a specific cause. Conclusion This study provides an epidemiological description of BDs in Guilin, which may be helpful for understanding the overall situation in Southwest China of BDs and aid in more comprehensive studies of BDs in future healthcare systems, including funding investment, policy-making, monitor, prevention. Strong prevention strategies should be the priority to reduce BDs and improve the birth quality.
Collapse
Affiliation(s)
- Xingdi Yang
- Public Health, Guilin Medical University, Guilin, China,The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Guilin, China,Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care, Guilin, China
| | - Jianjuan Zeng
- Department of Child Health Care, Guilin Maternal and Child Health Hospital, Guilin, China
| | - Yiping Gu
- Public Health, Guilin Medical University, Guilin, China,The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Guilin, China,Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care, Guilin, China
| | - Yiming Fang
- Public Health, Guilin Medical University, Guilin, China,The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Guilin, China,Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care, Guilin, China
| | - Caiyun Wei
- Public Health, Guilin Medical University, Guilin, China
| | - Shengkui Tan
- Public Health, Guilin Medical University, Guilin, China,The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Guilin, China,Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care, Guilin, China,*Correspondence: Shengkui Tan
| | - Xiaoying Zhang
- Public Health, Guilin Medical University, Guilin, China,The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Guilin, China,Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care, Guilin, China,Xiaoying Zhang
| |
Collapse
|