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Liu Y, Yue L, Chang L. Maternal Gestational Diabetes Mellitus and Congenital Heart Disease in Offspring: A Meta-Analysis. Horm Metab Res 2024. [PMID: 38307090 DOI: 10.1055/a-2238-1710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2024]
Abstract
Maternal diabetes has been related to an increased risk of congenital heart disease (CHD) in offspring. However, inconsistent results were retrieved for studies evaluating the association between gestational diabetes mellitus (GDM) and CHD in offspring. We therefore performed a systematic review and meta-analysis for comprehensive investigation. Observational studies were identified by searching PubMed, Embase, and Web of Science according to the aim of the meta-analysis. A randomized-effects model was used to pool the data by incorporating the influence of potential heterogeneity. Twenty-three observational studies, involving 46953078 mother-child pairs, were available for the meta-analysis. Among them, 2131800 mothers were diagnosed as GDM and 214379 newborns had CHD. Overall, maternal GDM was associated with a higher incidence of CHD in offspring [odds ratio (OR): 1.32, 95% confidence interval (CI): 1.21 to 1.45, p<0.001; I2=62%]. Sensitivity analysis limited to studies with adjustment of maternal age and other potential confounding factors showed similar results (OR: 1.40, 95% CI: 1.30 to 1.51, p<0.001; I2=47%). Subgroup analysis suggested that the association between maternal GDM and CHD in offspring was not significantly affected by methods for diagnosis of GDM, methods for confirmation of CHD, or study quality scores (p for subgroup difference all>0.05). Subsequent analysis according to types of CHD showed that maternal GDM was associated with higher risks of atrial septal defect, ventricular septal defect, and Tetralogy of Fallot. Maternal GDM may be associated with a higher risk of CHD in offspring.
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Affiliation(s)
- Yun Liu
- Obstetrical Department, Xiangyang Central Hospital, Xiangyang City, China
| | - Lina Yue
- Department of Pediatrics, Xiangyang Maternal and Child Health Hospital, Xiangyang City, China
| | - Li Chang
- Department of Pediatrics, Xiangyang Maternal and Child Health Hospital, Xiangyang City, China
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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.
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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
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Portilla R E, Harizanov V, Sarmiento K, Holguín J, Gracia G, Hurtado-Villa P, Zarante I. Risk factors characterisation for CHD: a case-control study in Bogota and Cali, Colombia, 2002-2020. Cardiol Young 2024; 34:178-182. [PMID: 37318127 DOI: 10.1017/s1047951123001324] [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] [Indexed: 06/16/2023]
Abstract
OBJECTIVE CHDs correspond to 28% of all congenital anomalies, being the leading cause of infant mortality in the first year of life. Thus, it is essential to explore risk factors for CHDs presentation, allowing the detection of probable cases within a population. METHODS We identified newborns with CHDs within a cohort from the Program for the Prevention and Monitoring of Congenital Defects in Bogota and Cali, 2002-2020. Cases were classified as isolated, complex isolated, polymalformed, and syndromic. Variables were analysed by comparing case and control averages with Student's t test using a 95% confidence level. RESULTS Prevalence obtained was 19.36 per 10 000 live births; non-specified CHD, ventricular septal defect, and atrial septal defect were the most prevalent. As risk factors were found: paternal and maternal age above 45 years, pregestational diabetes, mother's body mass index above 25, low educational level, and socio-economic status. As protective factors: folic acid consumption within the first trimester and pregestational period. CONCLUSION Different risk and protective factors associated with the presentation of CHDs have been described. We consider that public health strategies should be aimed to reduce risk factors exposure. Also, improving diagnosis and prognosis by having a close monitoring on high-risk patients.
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Affiliation(s)
| | - Vyara Harizanov
- Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Karen Sarmiento
- Department of Physiological Sciences, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
| | | | | | - Paula Hurtado-Villa
- Department of Basic Sciences, Faculty of Health, Pontificia Universidad Javeriana, Cali, Colombia
| | - Ignacio Zarante
- Institute of Human Genetics, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
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Zhang Q, Lai S, Zhang Y, Ye X, Wu Y, Lin T, Huang H, Zhang W, Lin H, Yan J. Associations of elevated glucose levels at each time point during OGTT with fetal congenital heart diseases: a cohort study of 72,236 births. BMC Pregnancy Childbirth 2023; 23:837. [PMID: 38053046 DOI: 10.1186/s12884-023-06152-w] [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: 06/12/2023] [Accepted: 11/22/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND It remains unclear how the condition of glucose metabolism during pregnancy affects fetal outcomes. This study aimed to investigate the associations of gestational diabetes mellitus (GDM) and elevated glucose levels at each time point during oral glucose tolerance test (OGTT) with congenital heart disease (CHD) risk in offspring. METHODS We conducted a retrospective cohort study of mothers with singleton pregnancies of 20 weeks or more registered at Maternal and Child Health Centers in Fujian Province, China. The OGTT results and offspring CHD occurrence were collected. We used logistic regression to analyse the association between elevated blood glucose at each time point during OGTT and CHD. RESULTS A total of 71,703 normal and 533 CHD fetuses were included. Compared to the corresponding normal group, women with GDM, elevated blood glucose at different time points in OGTT (0 h ≥ 5.1 mmol/L, 1 h ≥ 10 mmol/L, and 2 h ≥ 8.5 mmol/L) showed an increased risk of CHD in offspring (adjusted OR = 1.41, 1.36, 1.37, and 1.41, all P < 0.05, respectively). Compared to group 1 (normal OGTT 0 h, 1 h and 2 h), the risk of CHD was higher in group 3 (normal OGTT 0 h and abnormal OGTT 1 h or 2 h) and group 4 (abnormal OGTT 0 h, 1 h and 2 h), OR = 1.53 and 2.21, all P < 0.05, respectively. Moreover, we divided participants by advanced maternal age, multipara, assisted reproduction, fetal sex, and others, similar associations were observed in the subgroup analyses. CONCLUSION Elevated blood glucose at different time points during OGTT was associated with CHD in offspring. Fetuses of pregnant women with GDM should be screened for a high risk of CHD.
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Affiliation(s)
- Qian Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350004, Fujian, China
| | - Shuhua Lai
- Department of Neonatology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Yulong Zhang
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Xu Ye
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Yi Wu
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Tinghua Lin
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Huiyun Huang
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Wenhui Zhang
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Hai Lin
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, Fujian, China
| | - Jianying Yan
- Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, Fujian, China.
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Ibrahim S, Gaborit B, Lenoir M, Collod-Beroud G, Stefanovic S. Maternal Pre-Existing Diabetes: A Non-Inherited Risk Factor for Congenital Cardiopathies. Int J Mol Sci 2023; 24:16258. [PMID: 38003449 PMCID: PMC10671602 DOI: 10.3390/ijms242216258] [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: 09/28/2023] [Revised: 10/19/2023] [Accepted: 10/20/2023] [Indexed: 11/26/2023] Open
Abstract
Congenital heart defects (CHDs) are the most common form of birth defects in humans. They occur in 9 out of 1000 live births and are defined as structural abnormalities of the heart. Understanding CHDs is difficult due to the heterogeneity of the disease and its multifactorial etiology. Advances in genomic sequencing have made it possible to identify the genetic factors involved in CHDs. However, genetic origins have only been found in a minority of CHD cases, suggesting the contribution of non-inherited (environmental) risk factors to the etiology of CHDs. Maternal pregestational diabetes is associated with a three- to five-fold increased risk of congenital cardiopathies, but the underlying molecular mechanisms are incompletely understood. According to current hypotheses, hyperglycemia is the main teratogenic agent in diabetic pregnancies. It is thought to induce cell damage, directly through genetic and epigenetic dysregulations and/or indirectly through production of reactive oxygen species (ROS). The purpose of this review is to summarize key findings on the molecular mechanisms altered in cardiac development during exposure to hyperglycemic conditions in utero. It also presents the various in vivo and in vitro techniques used to experimentally model pregestational diabetes. Finally, new approaches are suggested to broaden our understanding of the subject and develop new prevention strategies.
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Affiliation(s)
- Stéphanie Ibrahim
- Aix Marseille University, INSERM, INRAE, C2VN, 13005 Marseille, France;
| | - Bénédicte Gaborit
- Department of Endocrinology, Metabolic Diseases and Nutrition, Pôle ENDO, APHM, 13005 Marseille, France
| | - Marien Lenoir
- Department of Congenital Heart Surgery, La Timone Children Hospital, APHM, Aix Marseille University, 13005 Marseille, France
| | | | - Sonia Stefanovic
- Aix Marseille University, INSERM, INRAE, C2VN, 13005 Marseille, France;
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Lin Y, Chen JS, Zhong N, Zhang A, Pan H. A Bayesian network perspective on neonatal pneumonia in pregnant women with diabetes mellitus. BMC Med Res Methodol 2023; 23:249. [PMID: 37880592 PMCID: PMC10601254 DOI: 10.1186/s12874-023-02070-9] [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: 04/06/2023] [Accepted: 10/13/2023] [Indexed: 10/27/2023] Open
Abstract
OBJECTIVE To predict the influencing factors of neonatal pneumonia in pregnant women with diabetes mellitus using a Bayesian network model. By examining the intricate network connections between the numerous variables given by Bayesian networks (BN), this study aims to compare the prediction effect of the Bayesian network model and to analyze the influencing factors directly associated to neonatal pneumonia. METHOD Through the structure learning algorithms of BN, Naive Bayesian (NB), Tree Augmented Naive Bayes (TAN), and k-Dependence Bayesian Classifier (KDB), complex networks connecting variables were presented and their predictive abilities were tested. The BN model and three machine learning models computed using the R bnlean package were also compared in the data set. RESULTS In constraint-based algorithms, three algorithms had different presentation DAGs. KDB had a better prediction effect than NB and TAN, and it achieved higher AUC compared with TAN. Among three machine learning modes, Support Vector Machine showed a accuracy rate of 91.04% and 67.88% of precision, which was lower than TAN (92.70%; 72.10%). CONCLUSION KDB was applicable, and it can detect the dependencies between variables, identify more potential associations and track changes between variables and outcome.
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Affiliation(s)
- Yue Lin
- School of Public Health, Guangdong Medical University, Dongguan, 523808, China
| | - Jia Shen Chen
- School of Public Health, Guangdong Medical University, Dongguan, 523808, China
| | - Ni Zhong
- School of Public Health, Guangdong Medical University, Dongguan, 523808, China
| | - Ao Zhang
- School of Public Health, Guangdong Medical University, Dongguan, 523808, China
| | - Haiyan Pan
- School of Public Health, Guangdong Medical University, Dongguan, 523808, China.
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Paul EA, Cohen J, Geiger MK. Cardiac problems in the fetus: a review for pediatric providers. Curr Opin Pediatr 2023; 35:523-530. [PMID: 37466056 DOI: 10.1097/mop.0000000000001274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
PURPOSE OF REVIEW The aim of this study was to provide pediatric providers with a review of the diagnosis and management of fetal cardiac disease in the current era. RECENT FINDINGS Prenatal detection of congenital heart disease (CHD) has improved but is still imperfect. In experienced hands, fetal echocardiography can detect severe CHD as early as the first trimester and a majority of more subtle conditions in the second and third trimesters. Beyond detection, a prenatal diagnosis allows for lesion-specific counseling for families as well as for development of a multidisciplinary perinatal management plan, which may involve in-utero treatment. Given the diversity of cardiac diagnoses and the rarity of some, collaborative multicenter fetal cardiac research has gained momentum in recent years. SUMMARY Accurate diagnosis of fetal cardiac disease allows for appropriate counseling, pregnancy and delivery planning, and optimization of immediate neonatal care. There is potential for improving fetal CHD detection rates. Fetal interventions are available for certain conditions, and fetal and pediatric cardiac centers have developed management plans specific to the expected postnatal physiology.
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Affiliation(s)
- Erin A Paul
- Division of Pediatric Cardiology, Mount Sinai Kravis Children's Hospital, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Lemaitre M, Bourdon G, Bruandet A, Lenne X, Subtil D, Rakza T, Vambergue A. Pre-gestational diabetes and the risk of congenital heart defects in the offspring: A French nationwide study. DIABETES & METABOLISM 2023; 49:101446. [PMID: 37031733 DOI: 10.1016/j.diabet.2023.101446] [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: 10/13/2022] [Revised: 03/27/2023] [Accepted: 04/02/2023] [Indexed: 04/11/2023]
Abstract
AIM To compare the frequencies and types of congenital heart defects for infants of women without and with pre-gestational diabetes, type 1 and type 2 diabetes (T1DM, T2DM) and to identify risk factors. METHODS All live births between 2012 and 2020 were screened for maternal diabetes and infant congenital heart defects using the French Medical Information System Program in Medicine, Surgery and Obstetrics database (PMSI-MCO). Incidences of these defects were estimated, and a logistic model evaluated maternal and fetal prognostic risk factors. RESULTS Overall, 6,038,703 mothers did not have pre-gestational diabetes (no-diabetes), 23,147 had T1DM, and 14,401 had T2DM. The incidence of infant congenital disease was 6.2% for the no-diabetes group, 8.0%, for women with T1DM, and 8.4% for women with T2DM (P < 0.001); for congenital heart defects, incidences were respectively 0.8%, 3.0% and 2.7% (P < 0.001). In comparison with the no-diabetes group, the odds ratios (95%CI) of coronary heart defects were 2.07 (1.91;2.24) (P < 0.001) for women with T1DM and 2.20 (1.99;2.44) (P < 0.001) for women with T2DM, with no difference between T1DM and T2DM (P = 0.336). cesarian section, small and large for gestational age, and prematurity were also associated with an increased risk of congenital heart defects. CONCLUSION In this study we observed higher incidences of congenital heart defects in infants of women with pre-gestational diabetes compared to women without pre-gestational diabetes, with no difference between women with T1DM or T2DM. These data call for intensifying preconception care and justify systematic cardiac echography in selected fetuses.
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Affiliation(s)
- Madleen Lemaitre
- CHU Lille, Department of Diabetology, Endocrinology, Metabolism and Nutrition Lille University Hospital, F-59000 Lille, France; University of Lille, F-59000 France; ULR 2694-METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, F-59000 Lille, France
| | - Gurvan Bourdon
- University of Lille, F-59000 France; CHU Lille, Department of Pediatrics, Lille University Hospital, F-59000 Lille, France
| | - Amélie Bruandet
- CHU Lille, Department of Medical Information, Lille University Hospital, F-59000 Lille, France
| | - Xavier Lenne
- CHU Lille, Department of Medical Information, Lille University Hospital, F-59000 Lille, France
| | - Damien Subtil
- University of Lille, F-59000 France; ULR 2694-METRICS: Évaluation des Technologies de Santé et des Pratiques Médicales, F-59000 Lille, France; CHU Lille, Department of Gynecology and Obstetrics, Lille University Hospital, F-59000 Lille, France
| | - Thameur Rakza
- CHU Lille, Department of Pediatrics, Lille University Hospital, F-59000 Lille, France
| | - Anne Vambergue
- CHU Lille, Department of Diabetology, Endocrinology, Metabolism and Nutrition Lille University Hospital, F-59000 Lille, France; University of Lille, F-59000 France; European Genomic Institute for Diabetes, University School of Medicine, F-59000 Lille, France.
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Ogassavara J, Dualib PM, Mattar R, Dib SA, de Almeida-Pititto B. Maternal-fetal outcomes of pregnant women with type 1 diabetes treated with continuous subcutaneous insulin infusion or multiple daily injections during pregnancy - A Brazilian health care referral center cohort study. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2023; 67:e220483. [PMID: 37364140 PMCID: PMC10660998 DOI: 10.20945/2359-4292-2022-0483] [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: 12/02/2022] [Accepted: 04/11/2023] [Indexed: 06/28/2023]
Abstract
Objective Pregnant women with type 1 diabetes (T1D) have an increased risk of maternal-fetal complications. Regarding treatment, continuous subcutaneous insulin infusion (CSII) has advantages compared to multiple daily injections (MDI), but data about the best option during pregnancy are limited. This study's aim was to compare maternal-fetal outcomes among T1D patients treated with CSII or MDI during pregnancy. Subjects and methods This study evaluated 174 pregnancies of T1D patients. Variables of interest were compared between the groups (CSII versus MDI), and logistic regression analysis was performed (p < 0.05). Results Of the 174 included pregnancies, CSII was used in 21.3% (37) and MDI were used in 78.7% (137). HbA1c values improved throughout gestation in both groups, with no difference in the first and third trimesters. The frequency of cesarean section was significantly higher in the CSII group [94.1 vs. 75.4%, p = 0.017], but there was no significant difference in the frequency of other complications, such as miscarriage, premature delivery and preeclampsia. The mean birth weight and occurrence of neonatal complications were also similar, except for the proportion of congenital malformations, which was significantly lower in the CSII group [2.9 vs. 15.6%, p = 0.048]. In regression analysis, the association of CSII with cesarean section and malformations lost significance after adjusting for HbA1c and other covariates of interest. Conclusion In this study, we observed a higher frequency of cesarean section and a lower occurrence of congenital malformations in the CSII group, but the adjusted results might indicate that these associations are influenced by glycemic control.
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Affiliation(s)
- Juliana Ogassavara
- Programa de Pós-graduação em Endocrinologia e Metabologia, Universidade Federal de São Paulo, São Paulo, SP, Brasil
| | | | - Rosiane Mattar
- Departamento de Obstetrícia, Universidade Federal de São Paulo, São Paulo, SP, Brasil
| | - Sérgio Atala Dib
- Programa de Pós-graduação em Endocrinologia e Metabologia, Universidade Federal de São Paulo, São Paulo, SP, Brasil
- Departamento de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brasil
| | - Bianca de Almeida-Pititto
- Programa de Pós-graduação em Endocrinologia e Metabologia, Universidade Federal de São Paulo, São Paulo, SP, Brasil
- Departamento de Medicina Preventiva, Universidade Federal de São Paulo, São Paulo, SP, Brasil,
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Jung YM, Park JK, Oh MJ, Park CW, Park JS, Jun JK, Lee SM, Cho GJ. Increased risk of congenital malformations in offspring born to women with systemic lupus erythematosus in South Korea: a nationwide population-based study. RMD Open 2023; 9:rmdopen-2022-002916. [PMID: 37270202 DOI: 10.1136/rmdopen-2022-002916] [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: 12/13/2022] [Accepted: 05/14/2023] [Indexed: 06/05/2023] Open
Abstract
OBJECTIVES The aim of this study was to determine the risk of congenital malformations in offspring born to women with systemic lupus erythematosus (SLE). METHODS This nationwide population-based study included Korean women who had a singleton pregnancy. The risk of congenital malformations in women with SLE was compared with those without SLE. Multivariable analyses were performed to estimate the OR of congenital malformations. In a sensitivity analysis, the risk of malformation was compared between the offspring of women with SLE and those of propensity-matched women without SLE. RESULTS Of a total of 3 279 204 pregnant women, 0.1% had SLE and their offspring had a higher frequency of congenital malformations (17.13% vs 11.99%, p<0.0001). After adjustment for age, parity, hypertension, diabetes, and fetal sex, the SLE group was found to be associated with an increased risk of congenital malformations in the nervous system (adjusted OR (aOR, 1.90; 95% CI, 1.20 to 3.03), eye, ear, face, and neck (aOR, 1.37; 95% CI, 1.09 to 1.71), circulatory system (aOR, 1.91; 95% CI, 1.67 to 2.20), and musculoskeletal system (aOR, 1.26; 95% CI, 1.05 to 1.52). Even after propensity matching, some of the tendencies were maintained. CONCLUSIONS This nationwide population-based study in South Korea indicates that compared with the general population, neonates born to SLE mothers have a slightly increased risk of congenital malformations affecting the nervous system, head and neck, cardiovascular system, and musculoskeletal system. When a woman with lupus becomes pregnant, careful fetal ultrasound and newborn screening can be helpful in identifying the risk of potential malformations.
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Affiliation(s)
- Young Mi Jung
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
- Department of Obstetrics and Gynecology, Guro Hospital, College of Medicine, Korea University, Seoul, Korea (the Republic of)
| | - Jin Kyun Park
- Division of Rheumatology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | - Min-Jeong Oh
- Department of Obstetrics and Gynecology, Guro Hospital, College of Medicine, Korea University, Seoul, Korea (the Republic of)
| | - Chan-Wook Park
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | - Joong Shin Park
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | - Jong Kwan Jun
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | - Seung Mi Lee
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
- Department of Obstetrics and Gynecology, Seoul National University Hospital, Seoul, South Korea
- Innovative Medical Technology Research Institute, Seoul National University Hospital, Seoul, South Korea
| | - Geum Joon Cho
- Department of Obstetrics and Gynecology, Guro Hospital, College of Medicine, Korea University, Seoul, Korea (the Republic of)
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Yan YS, Feng C, Yu DQ, Tian S, Zhou Y, Huang YT, Cai YT, Chen J, Zhu MM, Jin M. Long-term outcomes and potential mechanisms of offspring exposed to intrauterine hyperglycemia. Front Nutr 2023; 10:1067282. [PMID: 37255932 PMCID: PMC10226394 DOI: 10.3389/fnut.2023.1067282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 04/06/2023] [Indexed: 06/01/2023] Open
Abstract
Diabetes mellitus during pregnancy, which can be classified into pregestational diabetes and gestational diabetes, has become much more prevalent worldwide. Maternal diabetes fosters an intrauterine abnormal environment for fetus, which not only influences pregnancy outcomes, but also leads to fetal anomaly and development of diseases in later life, such as metabolic and cardiovascular diseases, neuropsychiatric outcomes, reproduction malformation, and immune dysfunction. The underlying mechanisms are comprehensive and ambiguous, which mainly focus on microbiota, inflammation, reactive oxygen species, cell viability, and epigenetics. This review concluded with the influence of intrauterine hyperglycemia on fetal structure development and organ function on later life and outlined potential mechanisms that underpin the development of diseases in adulthood. Maternal diabetes leaves an effect that continues generations after generations through gametes, thus more attention should be paid to the prevention and treatment of diabetes to rescue the pathological attacks of maternal diabetes from the offspring.
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Affiliation(s)
- Yi-Shang Yan
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Chun Feng
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Dan-Qing Yu
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shen Tian
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yin Zhou
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yi-Ting Huang
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yi-Ting Cai
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jian Chen
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Miao-Miao Zhu
- Department of Operating Theatre, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Min Jin
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
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Semertzidou A, Grout-Smith H, Kalliala I, Garg A, Terzidou V, Marchesi J, MacIntyre D, Bennett P, Tsilidis K, Kyrgiou M. Diabetes and anti-diabetic interventions and the risk of gynaecological and obstetric morbidity: an umbrella review of the literature. BMC Med 2023; 21:152. [PMID: 37072764 PMCID: PMC10114404 DOI: 10.1186/s12916-023-02758-1] [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: 11/14/2022] [Accepted: 01/27/2023] [Indexed: 04/20/2023] Open
Abstract
BACKGROUND Diabetes has reached epidemic proportions in recent years with serious health ramifications. The aim of this study was to evaluate the strength and validity of associations between diabetes and anti-diabetic interventions and the risk of any type of gynaecological or obstetric conditions. METHODS Design: Umbrella review of systematic reviews and meta-analyses. DATA SOURCES PubMed, Medline, Embase, Cochrane Database of Systematic Reviews, manual screening of references. ELIGIBILITY CRITERIA Systematic reviews and meta-analyses of observational and interventional studies investigating the relationship between diabetes and anti-diabetic interventions with gynaecological or obstetric outcomes. Meta-analyses that did not include complete data from individual studies, such as relative risk, 95% confidence intervals, number of cases/controls, or total population were excluded. DATA ANALYSIS The evidence from meta-analyses of observational studies was graded as strong, highly suggestive, suggestive or weak according to criteria comprising the random effects estimate of meta-analyses and their largest study, the number of cases, 95% prediction intervals, I2 heterogeneity index between studies, excess significance bias, small study effect and sensitivity analysis using credibility ceilings. Interventional meta-analyses of randomised controlled trials were assessed separately based on the statistical significance of reported associations, the risk of bias and quality of evidence (GRADE) of included meta-analyses. RESULTS A total of 117 meta-analyses of observational cohort studies and 200 meta-analyses of randomised clinical trials that evaluated 317 outcomes were included. Strong or highly suggestive evidence only supported a positive association between gestational diabetes and caesarean section, large for gestational age babies, major congenital malformations and heart defects and an inverse relationship between metformin use and ovarian cancer incidence. Only a fifth of the randomised controlled trials investigating the effect of anti-diabetic interventions on women's health reached statistical significance and highlighted metformin as a more effective agent than insulin on risk reduction of adverse obstetric outcomes in both gestational and pre-gestational diabetes. CONCLUSIONS Gestational diabetes appears to be strongly associated with a high risk of caesarean section and large for gestational age babies. Weaker associations were demonstrated between diabetes and anti-diabetic interventions with other obstetric and gynaecological outcomes. TRIAL REGISTRATION Open Science Framework (OSF) (Registration https://doi.org/10.17605/OSF.IO/9G6AB ).
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Affiliation(s)
- Anita Semertzidou
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Harriet Grout-Smith
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Ilkka Kalliala
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- Department of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Akanksha Garg
- Queen Charlotte's and Chelsea - Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Vasso Terzidou
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- Queen Charlotte's and Chelsea - Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Julian Marchesi
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- School of Biosciences, Cardiff University, Cardiff, UK
| | - David MacIntyre
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Phillip Bennett
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- Queen Charlotte's and Chelsea - Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Konstantinos Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Maria Kyrgiou
- Department of Metabolism, Digestion and Reproduction - Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
- Queen Charlotte's and Chelsea - Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK.
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13
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Huang P, Deng Y, Feng L, Gao Y, Cheng X, Liu H. Evaluation of Fetal Cardiac Function in Maternal Gestational Diabetes Mellitus by Speckle-Tracking Echocardiography. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023; 42:81-89. [PMID: 35445757 DOI: 10.1002/jum.15994] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 03/01/2022] [Accepted: 04/03/2022] [Indexed: 06/14/2023]
Abstract
OBJECTIVES Gestational diabetes mellitus (GDM) is the most common metabolic disease that occurs during pregnancy and may result in fetal cardiac dysfunction. Our study aimed to assess the cardiac function in fetuses of mothers with GDM by a quantitative analysis software based on speckle-tracking echocardiography. METHODS Forty-nine fetuses exposed to GDM and 50 normal fetuses were enrolled, and fetal echocardiography were performed and analyzed in this prospective cross-sectional study. We compared cardiac systolic function between the two groups using fetal cardiac quantitative analysis software. RESULTS In the GDM group, left ventricular (24 ± 4 versus 28 ± 4, P < .001) and right ventricular global longitudinal strain (23 ± 4 versus 26 ± 4, P = .002) and right ventricular free wall strain (26 ± 6 versus 29 ± 5, P = .006) were significantly lower compared with the control group, whereas there was no significant difference in global spherical index (1.2 ± 0.1 versus 1.2 ± 0.1, P = .425). Additionally, 24-segment transverse fraction shortening of the right ventricle was more impaired than the left, and the segments with reduced fraction shortening were mainly located in the mid and apical sections of the right ventricle, and midsection of the left ventricle. CONCLUSION Fetuses exposed to GDM may have cardiac dysfunction before the onset of cardiac morphologic abnormalities, and the right ventricle is more vulnerable than the left during fetal development.
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Affiliation(s)
- Peina Huang
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Youbin Deng
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ling Feng
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yiping Gao
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xueqing Cheng
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongyun Liu
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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14
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Maduro C, Castro LFD, Moleiro ML, Guedes-Martins L. Pregestational Diabetes and Congenital Heart Defects. REVISTA BRASILEIRA DE GINECOLOGIA E OBSTETRICIA : REVISTA DA FEDERACAO BRASILEIRA DAS SOCIEDADES DE GINECOLOGIA E OBSTETRICIA 2022; 44:953-961. [PMID: 36446562 PMCID: PMC9708403 DOI: 10.1055/s-0042-1755458] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Studies have consistently shown a significant increase in the risk of congenital heart defects in the offspring of diabetic mothers compared with those of nondiabetic pregnancies. Evidence points that all types of pregestational diabetes have the capacity of generating cardiac malformations in a more accentuated manner than in gestational diabetes, and there seems to be an increased risk for all congenital heart defects phenotypes in the presence of maternal diabetes. Currently, the application of some therapies is under study in an attempt to reduce the risks inherent to diabetic pregnancies; however, it has not yet been possible to fully prove their effectiveness. The present review aims to better understand the mechanisms that govern the association between pregestational diabetes and congenital heart defects and how maternal diabetes interferes with fetal cardiac development, as there is still a long way to go in the investigation of this complex process.
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Affiliation(s)
- Catarina Maduro
- Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal,Address for correspondence Catarina Maduro, MSc Rua Jorge de Viterbo Ferreira 228, 4050-313, PortoPortugal
| | - Luís Ferreira de Castro
- Departamento da Mulher e da Medicina Reprodutiva, Centro Hospitalar do Porto EPE, Centro Materno Infantil do Norte, Largo Prof. Abel Salazar, Porto, Portugal
| | - Maria Lúcia Moleiro
- Departamento da Mulher e da Medicina Reprodutiva, Centro Hospitalar do Porto EPE, Centro Materno Infantil do Norte, Largo Prof. Abel Salazar, Porto, Portugal
| | - Luís Guedes-Martins
- Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal,Departamento da Mulher e da Medicina Reprodutiva, Centro Hospitalar do Porto EPE, Centro Materno Infantil do Norte, Largo Prof. Abel Salazar, Porto, Portugal,Unidade de Investigação e Formação, Centro Materno Infantil do Norte, Porto, Portugal,Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
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15
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Negrato CA, Marques PR, Leite HB, Torigoe CN, Silva BF, Costa K, Kamei JM, Zampa CL, Toni ACRG, Pereira ICGS, Heinzelmann GL, Zajdenverg L. Glycemic and nonglycemic mechanisms of congenital malformations in hyperglycemic pregnancies: a narrative review. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2022; 66:908-918. [PMID: 36191262 PMCID: PMC10118772 DOI: 10.20945/2359-3997000000521] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Congenital malformations are more frequently found among children born to mothers with diabetes than in the background population. There are several complex mechanisms involved in the development of congenital malformations in the offspring of mothers with hyperglycemia, such as the overexpression of glucose transporters (GLUTs) 1 and 2, the increased activity of the hexosamine biosynthetic pathway and the reduced expression of the PAX3 gene with a consequent increase in p53 protein expression. These alterations can lead to increased glucose and free radical concentrations in the embryo, thus promoting the process of apoptosis and causing malformation. The most frequent malformations found in the offspring of mothers with diabetes are heart and neural tube defects, urinary tract and kidney malformations, and cleft lip with or without cleft palate. Strict glycemic control should be obtained before and during pregnancy, aiming to avoid or minimize the risk of congenital malformations in the offspring. Beyond hyperglycemia, several factors may also be associated with increased risks of malformations in the offspring of these women, such as obesity, multiple pregnancies, advanced maternal age, folic acid deficiency, use of angiotensin converting enzyme inhibitors and angiotensin receptor blockers, assisted reproduction techniques, and exposure to different types of environmental pollutants.
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16
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Gajagowni S, Nair P, Bapat AC, Vachharajani AJ. Diabetic Embryopathies. Neoreviews 2022; 23:e677-e688. [PMID: 36180736 DOI: 10.1542/neo.23-10-e677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Diabetic embryopathy is defined as congenital anomalies that are linked to maternal diabetes. The association between diabetes and fetal, neonatal, and long-term complications is well-established. These complications include organ or structural maldevelopment, fetal growth abnormalities, and learning/psychiatric comorbidities. Recent studies have elucidated the pathophysiology behind these conditions and outlined new management approaches. Caudal regression syndrome, also known as sacral agenesis, is a well-known but less described complication of maternal diabetes. The purpose of this review is to summarize existing research on common neonatal morbidities in infants of mothers with diabetes with a focus on caudal regression syndrome and its long-term associations.
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Affiliation(s)
| | - Pooja Nair
- University of Missouri School of Medicine, Columbia, MO
| | - Alka C Bapat
- Department of Obstetrics and Gynecology, Icahn School of Medicine at Mount Sinai, Queens Hospital Center, New York, NY
| | - Akshaya J Vachharajani
- Division of Neonatology, Department of Child Health, University of Missouri School of Medicine, Columbia, MO
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17
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Considering the Genetic Architecture of Hypoplastic Left Heart Syndrome. J Cardiovasc Dev Dis 2022; 9:jcdd9100315. [PMID: 36286267 PMCID: PMC9604382 DOI: 10.3390/jcdd9100315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/16/2022] [Accepted: 09/16/2022] [Indexed: 11/24/2022] Open
Abstract
Hypoplastic left heart syndrome (HLHS) is among the most severe cardiovascular malformations and understanding its causes is crucial to making progress in prevention and treatment. Genetic analysis is a broadly useful tool for dissecting complex causal mechanisms and it is playing a significant role in HLHS research. However, unlike classical Mendelian disorders where a relatively small number of genes are largely determinative of the occurrence and severity of the disease, the picture in HLHS is complex. De novo single-gene and copy number variant (CNV) disorders make an important contribution, but there is emerging evidence for causal contributions from lower penetrance and common variation. Integrating this emerging knowledge into clinical diagnostics and translating the findings into effective prevention and treatment remain challenges for the future.
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18
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Ye W, Luo C, Huang J, Li C, Liu Z, Liu F. Gestational diabetes mellitus and adverse pregnancy outcomes: systematic review and meta-analysis. BMJ 2022; 377:e067946. [PMID: 35613728 PMCID: PMC9131781 DOI: 10.1136/bmj-2021-067946] [Citation(s) in RCA: 132] [Impact Index Per Article: 66.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To investigate the association between gestational diabetes mellitus and adverse outcomes of pregnancy after adjustment for at least minimal confounding factors. DESIGN Systematic review and meta-analysis. DATA SOURCES Web of Science, PubMed, Medline, and Cochrane Database of Systematic Reviews, from 1 January 1990 to 1 November 2021. REVIEW METHODS Cohort studies and control arms of trials reporting complications of pregnancy in women with gestational diabetes mellitus were eligible for inclusion. Based on the use of insulin, studies were divided into three subgroups: no insulin use (patients never used insulin during the course of the disease), insulin use (different proportions of patients were treated with insulin), and insulin use not reported. Subgroup analyses were performed based on the status of the country (developed or developing), quality of the study, diagnostic criteria, and screening method. Meta-regression models were applied based on the proportion of patients who had received insulin. RESULTS 156 studies with 7 506 061 pregnancies were included, and 50 (32.1%) showed a low or medium risk of bias. In studies with no insulin use, when adjusted for confounders, women with gestational diabetes mellitus had increased odds of caesarean section (odds ratio 1.16, 95% confidence interval 1.03 to 1.32), preterm delivery (1.51, 1.26 to 1.80), low one minute Apgar score (1.43, 1.01 to 2.03), macrosomia (1.70, 1.23 to 2.36), and infant born large for gestational age (1.57, 1.25 to 1.97). In studies with insulin use, when adjusted for confounders, the odds of having an infant large for gestational age (odds ratio 1.61, 1.09 to 2.37), or with respiratory distress syndrome (1.57, 1.19 to 2.08) or neonatal jaundice (1.28, 1.02 to 1.62), or requiring admission to the neonatal intensive care unit (2.29, 1.59 to 3.31), were higher in women with gestational diabetes mellitus than in those without diabetes. No clear evidence was found for differences in the odds of instrumental delivery, shoulder dystocia, postpartum haemorrhage, stillbirth, neonatal death, low five minute Apgar score, low birth weight, and small for gestational age between women with and without gestational diabetes mellitus after adjusting for confounders. Country status, adjustment for body mass index, and screening methods significantly contributed to heterogeneity between studies for several adverse outcomes of pregnancy. CONCLUSIONS When adjusted for confounders, gestational diabetes mellitus was significantly associated with pregnancy complications. The findings contribute to a more comprehensive understanding of the adverse outcomes of pregnancy related to gestational diabetes mellitus. Future primary studies should routinely consider adjusting for a more complete set of prognostic factors. REVIEW REGISTRATION PROSPERO CRD42021265837.
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Affiliation(s)
- Wenrui Ye
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
| | - Cong Luo
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jing Huang
- National Clinical Research Centre for Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chenglong Li
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
| | - Fangkun Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
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Assessment of evidence on reported non-genetic risk factors of congenital heart defects: the updated umbrella review. BMC Pregnancy Childbirth 2022; 22:371. [PMID: 35488214 PMCID: PMC9055777 DOI: 10.1186/s12884-022-04600-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 03/21/2022] [Indexed: 12/22/2022] Open
Abstract
Background Congenital heart defect (CHD) is the leading cause of birth defects globally, which results in a great disease burden. It is still imperative to detect the risk factors of CHD. This umbrella review aimed to comprehensively summarize the evidence and grade the evidence of the associations between non-genetic risk factors and CHD. Methods Databases including Medline, Embase, Web of Science, Cochrane Library, and four Chinese databases were searched from inception to 18 Jan 2022. The reference lists of systematic reviews (SR) and meta-analyses (MA) were screened, which aimed to explore the non-genetic risk factors of CHD. Subsequently, titles and abstracts of identified records and full texts of selected SR/MA were screened by two independent reviewers based on predefined eligibility criteria. A priori developed extraction form was used to abstract relative data following the PRISMA 2020 and MOOSE guidelines. The risk of bias was assessed with the AMSTAR2 instrument. Data were synthesized using fixed-effects and random-effects meta-analyses, respectively. Finally, the evidence on the association of non-genetic risk factors and CHD was graded using Ioannidis’s five-class evidence grade. Results A total of 56 SRs, encompassing 369 MAs, were identified. The risk factors included relative factors on air pollution, reproductive-related factors, parental age and BMI, parental life habits, working and dwelling environment, maternal drug exposure, and maternal disease. Based on AMSTAR2 criteria, only 16% (9/56) of SRs were classified as “Moderate”. One hundred and two traceable positive association MAs involving 949 component individual studies were included in further analysis and grading of evidence. Family genetic history, number of abortions, maternal obesity, especially moderate or severe obesity, decoration materials, harmful chemicals, noise during pregnancy, folic acid supplementation, SSRIs, SNRIs, any antidepressants in the first trimester, maternal DM (including both PGDM and GDM), and gestational hypertension were convincing and highly suggestive factors for CHD. After sensitivity analyses based on cohort studies, some grades of evidence changed. Conclusion The present umbrella review will provide evidence-based information for women of childbearing age before or during pregnancy to prevent CHD. In addition, sensitivity analysis based on cohort studies showed the changed evidence levels. Therefore, future SR/MA should concern the sensitivity analysis based on prospective birth cohort studies and case-control studies. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-022-04600-7.
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20
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Zhang S, Liu X, Yang T, Wang T, Chen L, Qin J. Association of maternal dietary habits and ADIPOQ gene polymorphisms with the risk of congenital heart defects in offspring: a hospital-based case-control study. Eur J Clin Nutr 2022; 76:373-381. [PMID: 34230631 DOI: 10.1038/s41430-021-00969-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 05/27/2021] [Accepted: 06/21/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVES To estimate the association of maternal ADIPOQ gene, dietary habits in early pregnancy, and their interactions with the risk of congenital heart defects (CHDs) in offspring. METHODS A case-control study of 464 mothers of CHDs children and 504 mothers of healthy children was included. Maternal dietary habits and genetic polymorphisms of ADIPOQ were the main exposure of interest. Their independent effects and interactions in the development of CHDs were analyzed in our study. RESULTS The excessive consumption of pickled vegetables (aOR = 1.58, 95%CI: 1.17-2.12), smoked foods (aOR = 1.84, 95%CI:1.34-2.52), barbecued foods (aOR = 1.62, 95%CI: 1.09-2.39), fish and shrimp (aOR = 0.37, 95%CI: 0.27-50), and milk products (aOR = 0.64, 95%CI: 0.51-80) had a significant association with total CHDs risk. The polymorphisms of ADIPOQ gene at rs1501299 (T/T vs G/G: aOR = 0.27, 95%CI: 0.14-50; G/T vs G/G: aOR = 0.67, 95%CI: 0.46-98) and rs2241766 (G/G vs T/T: aOR = 4.35, 95%CI: 2.23-8.51; T/G vs T/T: aOR = 2.23, 95%CI: 1.51-3.28) showed a significant association with total CHDs risk. Likewise, our results found that maternal dietary habits and ADIPOQ genetic variants also were significantly related to the risk of specific CHDs phenotypes. In addition, gene-diet interaction revealed significant associations between the ADIPOQ gene and maternal dietary habits with total CHDs. CONCLUSIONS Maternal dietary habits, ADIPOQ gene, and their interactions show a significant association with the risk of CHDs. However, our study has some limitations, thus our findings need to be taken with caution, which highlights that more studies are required to further corroborate our findings.
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Affiliation(s)
- Senmao Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
| | - Xiaoying Liu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
| | - Tubao Yang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
| | - Tingting Wang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.,National Health Commission Key Laboratory for Birth Defect Research and Prevention, Changsha, Hunan, China
| | - Lizhang Chen
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China. .,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China.
| | - Jiabi Qin
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China. .,Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China. .,National Health Commission Key Laboratory for Birth Defect Research and Prevention, Changsha, Hunan, China. .,Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
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Risks of specific congenital anomalies in offspring of women with diabetes: A systematic review and meta-analysis of population-based studies including over 80 million births. PLoS Med 2022; 19:e1003900. [PMID: 35104296 PMCID: PMC8806075 DOI: 10.1371/journal.pmed.1003900] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 12/22/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Pre-gestational diabetes mellitus (PGDM) has been known to be a risk factor for congenital heart defects (CHDs) for decades. However, the associations between maternal PGDM and gestational diabetes mellitus (GDM) and the risk of specific types of CHDs and congenital anomalies (CAs) in other systems remain under debate. We aimed to investigate type-specific CAs in offspring of women with diabetes and to examine the extent to which types of maternal diabetes are associated with increased risk of CAs in offspring. METHODS AND FINDINGS We searched PubMed and Embase from database inception to 15 October 2021 for population-based studies reporting on type-specific CAs in offspring born to women with PGDM (combined type 1 and 2) or GDM, with no limitation on language. Reviewers extracted data for relevant outcomes and performed random effects meta-analyses, subgroup analyses, and multivariable meta-regression. Risk of bias appraisal was performed using the Cochrane Risk of Bias Tool. This study was registered in PROSPERO (CRD42021229217). Primary outcomes were overall CAs and CHDs. Secondary outcomes were type-specific CAs. Overall, 59 population-based studies published from 1990 to 2021 with 80,437,056 participants met the inclusion criteria. Of the participants, 2,407,862 (3.0%) women had PGDM and 2,353,205 (2.9%) women had GDM. The meta-analyses showed increased risks of overall CAs/CHDs in offspring born to women with PGDM (for overall CAs, relative risk [RR] = 1.99, 95% CI 1.82 to 2.17, P < 0.001; for CHDs, RR = 3.46, 95% CI 2.77 to 4.32, P < 0.001) or GDM (for overall CAs, RR = 1.18, 95% CI 1.13 to 1.23, P < 0.001; for CHDs, RR = 1.50, 95% CI 1.38 to 1.64, P < 0.001). The results of the meta-regression analyses showed significant differences in RRs of CAs/CHDs in PGDM versus GDM (all P < 0.001). Of the 23 CA categories, excluding CHD-related categories, in offspring, maternal PGDM was associated with a significantly increased risk of CAs in 21 categories; the corresponding RRs ranged from 1.57 (for hypospadias, 95% CI 1.22 to 2.02) to 18.18 (for holoprosencephaly, 95% CI 4.03 to 82.06). Maternal GDM was associated with a small but significant increase in the risk of CAs in 9 categories; the corresponding RRs ranged from 1.14 (for limb reduction, 95% CI 1.06 to 1.23) to 5.70 (for heterotaxia, 95% CI 1.09 to 29.92). The main limitation of our analysis is that some high significant heterogeneity still persisted in both subgroup and sensitivity analyses. CONCLUSIONS In this study, we observed an increased rate of CAs in offspring of women with diabetes and noted the differences for PGDM versus GDM. The RRs of overall CAs and CHDs in offspring of women with PGDM were higher than those in offspring of women with GDM. Screening for diabetes in pregnant women may enable better glycemic control, and may enable identification of offspring at risk for CAs.
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Wang J, Lv B, Chen X, Pan Y, Chen K, Zhang Y, Li Q, Wei L, Liu Y. An early model to predict the risk of gestational diabetes mellitus in the absence of blood examination indexes: application in primary health care centres. BMC Pregnancy Childbirth 2021; 21:814. [PMID: 34879850 PMCID: PMC8653559 DOI: 10.1186/s12884-021-04295-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 11/26/2021] [Indexed: 11/30/2022] Open
Abstract
Background Gestational diabetes mellitus (GDM) is one of the critical causes of adverse perinatal outcomes. A reliable estimate of GDM in early pregnancy would facilitate intervention plans for maternal and infant health care to prevent the risk of adverse perinatal outcomes. This study aims to build an early model to predict GDM in the first trimester for the primary health care centre. Methods Characteristics of pregnant women in the first trimester were collected from eastern China from 2017 to 2019. The univariate analysis was performed using SPSS 23.0 statistical software. Characteristics comparison was applied with Mann-Whitney U test for continuous variables and chi-square test for categorical variables. All analyses were two-sided with p < 0.05 indicating statistical significance. The train_test_split function in Python was used to split the data set into 70% for training and 30% for test. The Random Forest model and Logistic Regression model in Python were applied to model the training data set. The 10-fold cross-validation was used to assess the model’s performance by the areas under the ROC Curve, diagnostic accuracy, sensitivity, and specificity. Results A total of 1,139 pregnant women (186 with GDM) were included in the final data analysis. Significant differences were observed in age (Z=−2.693, p=0.007), pre-pregnancy BMI (Z=−5.502, p<0.001), abdomen circumference in the first trimester (Z=−6.069, p<0.001), gravidity (Z=−3.210, p=0.001), PCOS (χ2=101.024, p<0.001), irregular menstruation (χ2=6.578, p=0.010), and family history of diabetes (χ2=15.266, p<0.001) between participants with GDM or without GDM. The Random Forest model achieved a higher AUC than the Logistic Regression model (0.777±0.034 vs 0.755±0.032), and had a better discrimination ability of GDM from Non-GDMs (Sensitivity: 0.651±0.087 vs 0.683±0.084, Specificity: 0.813±0.075 vs 0.736±0.087). Conclusions This research developed a simple model to predict the risk of GDM using machine learning algorithm based on pre-pregnancy BMI, abdomen circumference in the first trimester, age, PCOS, gravidity, irregular menstruation, and family history of diabetes. The model was easy in operation, and all predictors were easily obtained in the first trimester in primary health care centres.
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Affiliation(s)
- Jingyuan Wang
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Bohan Lv
- School of Nursing, Qingdao University, Qingdao, China
| | - Xiujuan Chen
- Department of Nursing, The Affiliated Hospital of Qingdao University, #16 Jiangsu Road, Qingdao, 266003, Shandong Province, China
| | - Yueshuai Pan
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Kai Chen
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yan Zhang
- Department of Nursing, The Affiliated Hospital of Qingdao University, #16 Jiangsu Road, Qingdao, 266003, Shandong Province, China
| | - Qianqian Li
- Department of Nursing, The Affiliated Hospital of Qingdao University, #16 Jiangsu Road, Qingdao, 266003, Shandong Province, China
| | - Lili Wei
- Department of Nursing, The Affiliated Hospital of Qingdao University, #16 Jiangsu Road, Qingdao, 266003, Shandong Province, China.
| | - Yan Liu
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
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Saad H, Sinclair M, Bunting B. Maternal sociodemographic characteristics, early pregnancy behaviours, and livebirth outcomes as congenital heart defects risk factors - Northern Ireland 2010-2014. BMC Pregnancy Childbirth 2021; 21:759. [PMID: 34758755 PMCID: PMC8579547 DOI: 10.1186/s12884-021-04223-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 10/19/2021] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Congenital Heart Defects (CHD) is the most commonly occurring congenital anomaly in Europe and a major paediatric health care concern. Investigations are needed to enable identification of CHD risk factors as studies have given conflicting results. This study aim was to identify maternal sociodemographic characteristics, behaviours, and birth outcomes as risk factors for CHD. This was a population based, data linkage cohort study using anonymised data from Northern Ireland (NI) covering the period 2010-2014. The study cohort composed of 94,067 live births with an outcome of 1162 cases of CHD using the International Statistical Classification of Diseases and Related Health Problems (ICD)-10 codes and based on the European Surveillance of Congenital Anomalies (EUROCAT) grouping system for CHD. CHD cases were obtained from the HeartSuite database (HSD) at the Royal Belfast Hospital for Sick Children (RBHSC), maternal data were extracted from the Northern Ireland Maternity System (NIMATS), and medication data were extracted from the Enhanced Prescribing Database (EPD). STATA version 14 was used for the statistical analysis in this study, Odds Ratio (OR), 95% Confident intervals (CI), P value, and logistic regression were used in the analysis. Ethical approval was granted from the National Health Service (NHS) Research Ethics Committee. RESULT In this study, a number of potential risk factors were assessed for statistically significant association with CHD, however only certain risk factors demonstrated a statistically significant association with CHD which included: gestational age at first booking (AOR = 1.21; 95% CI = 1.04-1.41; P < 0.05), family history of CHD or congenital abnormalities and syndromes (AOR = 4.14; 95% CI = 2.47-6.96; P < 0.05), woman's smoking in pregnancy (AOR = 1.22; 95% CI = 1.04-1.43; P < 0.05), preterm birth (AOR = 3.01; 95% CI = 2.44-3.01; P < 0.05), multiple births (AOR = 1.89; 95% CI = 1.58-2.60; P < 0.05), history of abortion (AOR = 1.12; 95% CI = 1.03-1.28; P < 0.05), small for gestational age (SGA) (AOR = 1.44; 95% CI = 1.22-1.78; P < 0.05), and low birth weight (LBW) (AOR = 3.10; 95% CI = 2.22-3.55; P < 0.05). Prescriptions and redemptions of antidiabetic (AOR = 2.68; 95% CI = 1.85-3.98; P < 0.05), antiepileptic (AOR = 1.77; 95% CI = 1.10-2.81; P < 0.05), and dihydrofolate reductase inhibitors (DHFRI) (AOR = 2.13; 95% CI = 1.17-5.85; P < 0.05) in early pregnancy also showed evidence of statistically significant association with CHD. CONCLUSION The results of this study suggested that there are certain maternal sociodemographic characteristics, behaviours and birth outcomes that are statistically significantly associated with higher risk of CHD. Appropriate prevention policy to target groups with higher risk for CHD may help to reduce CHD prevalence. These results are important for policy makers, obstetricians, cardiologists, paediatricians, midwives and the public.
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Affiliation(s)
- Hafi Saad
- Maternal Fetal and Infant Research Centre, Ulster University, Jordanstown, UK.
| | - Marlene Sinclair
- Maternal Fetal and Infant Research Centre, Ulster University, Jordanstown, UK
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Goto T, Sato Y, Kodama Y, Tomimori K, Sameshima H, Aman M, Maekawa K, Yamashita A, Asada Y. Association between fetal vascular malperfusion and gestational diabetes. J Obstet Gynaecol Res 2021; 48:80-86. [PMID: 34729872 DOI: 10.1111/jog.15046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 08/24/2021] [Accepted: 09/19/2021] [Indexed: 11/28/2022]
Abstract
AIM Diabetes mellitus (DM) is a major complication in pregnancy. Placental lesions with DM remain unclear and controversial. Recently, the terms of placental pathological findings, such as maternal and fetal vascular malperfusions (MVM and FVM, respectively) were introduced by the Amsterdam Placental Workshop Group Consensus Statement (APWGCS). FVM cases were classified as the partial obstruction type (global FVM) and the complete obstruction type (segmental FVM). The aim of this study was to clarify the pathological characteristics of the placenta with pregestational DM/gestational DM; GDM according to APWGCS. METHODS We studied the placentas of 182 DM women (27 pregestational DM and 155 GDM) and control placentas of 460 women without DM during 2011-2018. We excluded cases of intrauterine fetal death or multiple pregnancies. We reviewed microscopical findings including, MVM, FVM, chorioamnionitis with the slides according to the APWGCS. RESULTS Microscopically, the incidence of FVM was significantly higher in GDM patients than control (17% vs. 10%, p = 0.0138), but not significant in pregestational DM (11%, p = 0.7410). Segmental FVM (complete obstruction) was significantly more observed in GDM than control group (5% vs. 0.4%, p = 0.0013). Segmental FVM in GDM showed high incidence of light-for-dates infant (three of seven cases, 43%, p = 0.0288). In addition, several segmental FVM findings (villous stromal-vascular karyorrhexis and stem vessel occlusion) were frequently noted in 2 or 3 points positive of 75 g oral glucose tolerance test than 1 point positive GDM. CONCLUSION Our placental findings suggest disorder of carbohydrate metabolism might affect the fetal vascular damage, especially complete fetal vascular obstruction.
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Affiliation(s)
- Tomoko Goto
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Yuichiro Sato
- Department of Diagnostic Pathology, Faculty of Medicine, Miyazaki University Hospital, University of Miyazaki, Miyazaki, Japan
| | - Yuki Kodama
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Kayo Tomimori
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Hiroshi Sameshima
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Murasaki Aman
- Department of Diagnostic Pathology, Faculty of Medicine, Miyazaki University Hospital, University of Miyazaki, Miyazaki, Japan
| | - Kazunari Maekawa
- Department of Pathology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Atsushi Yamashita
- Department of Pathology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Yujiro Asada
- Department of Pathology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
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Brida M, Chessa M, Celermajer D, Li W, Geva T, Khairy P, Griselli M, Baumgartner H, Gatzoulis MA. Atrial septal defect in adulthood: a new paradigm for congenital heart disease. Eur Heart J 2021; 43:2660-2671. [PMID: 34535989 DOI: 10.1093/eurheartj/ehab646] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 07/09/2021] [Accepted: 09/03/2021] [Indexed: 11/13/2022] Open
Abstract
Atrial septal defects (ASDs) represent the most common congenital heart defect diagnosed in adulthood. Although considered a simple defect, challenges in optimal diagnostic and treatment options still exist due to great heterogeneity in terms of anatomy and time-related complications primarily arrhythmias, thromboembolism, right heart failure and, in a subset of patients, pulmonary arterial hypertension (PAH). Atrial septal defects call for tertiary expertise where all options may be considered, namely catheter vs. surgical closure, consideration of pre-closure ablation for patients with atrial tachycardia and suitability for closure or/and targeted therapy for patients with PAH. This review serves to update the clinician on the latest evidence, the nuances of optimal diagnostics, treatment options, and long-term follow-up care for patients with an ASD.
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Affiliation(s)
- Margarita Brida
- Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton & Harefield Hospitals, National Heart and Lung Institute, Imperial College, Sydney Street, London SW3 6NP, UK.,Division of Adult Congenital Heart Disease, Department of Cardiovascular Medicine, University Hospital Centre Zagreb, Kispaticeva ul. 12, Zagreb 10000, Croatia.,Department of Medical Rehabilitation, Medical Faculty, University of Rijeka, Ul. Braće Branchetta 20/1, Rijeka 51000, Croatia
| | - Massimo Chessa
- ACHD Unit - Pediatric and Adult Congenital Heart Centre, IRCCS-Policlinico San Donato, Piazza Edmondo Malan, 2, Milan 20097, Italy.,UniSR - Vita Salute San Raffaele University, Via Olgettina, 58, Milan 20132, Italy
| | - David Celermajer
- Heart Research Institute, University of Sydney, Camperdown, NSW 2050, Australia
| | - Wei Li
- Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton & Harefield Hospitals, National Heart and Lung Institute, Imperial College, Sydney Street, London SW3 6NP, UK
| | - Tal Geva
- Department of Cardiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, USA.,Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, 300 Longwood Ave, Boston, MA 02115, USA
| | - Paul Khairy
- Department of Medicine, Montreal Heart Institute, Université de Montréal, 5000 Rue Bélanger, Montréal, QC H1T 1C8, Canada
| | - Massimo Griselli
- Division of Pediatric Cardiovascular Surgery, Masonic Children's Hospital, University of Minnesota, 2450 Riverside Ave, Minneapolis, MN 55454, USA
| | - Helmut Baumgartner
- Department of Cardiology III: Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Albert-Schweitzer-Campus 1, Muenster 48149, Germany
| | - Michael A Gatzoulis
- Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton & Harefield Hospitals, National Heart and Lung Institute, Imperial College, Sydney Street, London SW3 6NP, UK
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26
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Hedermann G, Hedley PL, Thagaard IN, Krebs L, Ekelund CK, Sørensen TIA, Christiansen M. Maternal obesity and metabolic disorders associate with congenital heart defects in the offspring: A systematic review. PLoS One 2021; 16:e0252343. [PMID: 34043700 PMCID: PMC8158948 DOI: 10.1371/journal.pone.0252343] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 05/12/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Congenital heart defects (CHDs) are the most common congenital malformations. The aetiology of CHDs is complex. Large cohort studies and systematic reviews and meta-analyses based on these have reported an association between higher risk of CHDs in the offspring and individual maternal metabolic disorders such as obesity, diabetes, hypertension, and preeclampsia, all conditions that can be related to insulin resistance or hyperglycaemia. However, the clinical reality is that these conditions often occur simultaneously. The aim of this review is, in consequence, both to evaluate the existing evidence on the association between maternal metabolic disorders, defined as obesity, diabetes, hypertension, preeclampsia, dyslipidaemia and CHDs in the offspring, as well as the significance of combinations, such as metabolic syndrome, as risk factors. METHODS A systematic literature search of papers published between January 1, 1990 and January 14, 2021 was conducted using PubMed and Embase. Studies were eligible if they were published in English and were case-control or cohort studies. The exposures of interest were maternal overweight or obesity, hypertension, preeclampsia, diabetes, dyslipidaemia, and/or metabolic syndrome, and the outcome of interest was CHDs in the offspring. Furthermore, the studies were included according to a quality assessment score. RESULTS Of the 2,250 identified studies, 32 qualified for inclusion. All but one study investigated only the individual metabolic disorders. Some disorders (obesity, gestational diabetes, and hypertension) increased risk of CHDs marginally whereas pre-gestational diabetes and early-onset preeclampsia were strongly associated with CHDs, without consistent differences between CHD subtypes. A single study suggested a possible additive effect of maternal obesity and gestational diabetes. CONCLUSIONS Future studies of the role of aberrations of the glucose-insulin homeostasis in the common aetiology and mechanisms of metabolic disorders, present during pregnancy, and their association, both as single conditions and-particularly-in combination, with CHDs are needed.
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Affiliation(s)
- Gitte Hedermann
- Department for Congenital Disorders, Danish National Biobank and Biomarkers, Statens Serum Institut, Copenhagen, Denmark
- * E-mail:
| | - Paula L. Hedley
- Department for Congenital Disorders, Danish National Biobank and Biomarkers, Statens Serum Institut, Copenhagen, Denmark
| | - Ida N. Thagaard
- Department for Congenital Disorders, Danish National Biobank and Biomarkers, Statens Serum Institut, Copenhagen, Denmark
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital, Slagelse Hospital, Slagelse, Denmark
| | - Lone Krebs
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital, Amager and Hvidovre Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Charlotte Kvist Ekelund
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Center of Fetal Medicine, Department of Obstetrics, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Thorkild I. A. Sørensen
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Christiansen
- Department for Congenital Disorders, Danish National Biobank and Biomarkers, Statens Serum Institut, Copenhagen, Denmark
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
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Association and interaction effect of UCP2 gene polymorphisms and dietary factors with congenital heart diseases in Chinese Han population. Sci Rep 2021; 11:8699. [PMID: 33888769 PMCID: PMC8062668 DOI: 10.1038/s41598-021-88057-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 04/06/2021] [Indexed: 12/02/2022] Open
Abstract
Congenital heart diseases (CHDs) are the most common birth defects and the leading cause of non-infectious deaths in infants, with an unknown etiology. We aimed to assess the association of genetic variations in UCP2 gene, dietary factors, and their interactions with the risk of CHDs in offspring. The hospital-based case–control study included 464 mothers of children with CHDs and 504 mothers of healthy children. The exposures of interest were maternal dietary factors in early pregnancy and UCP2 genetic variants. Logistic regression analyses were used to assess the association and interaction of UCP2 gene and dietary factors with CHDs. Our results found that the polymorphisms of UCP2 gene at rs659366 and rs660339, together with maternal dietary factors including excessive intake of pickled vegetables and smoked foods were associated with increased risks of CHDs in offspring. Regular intake of fresh meat, fish and shrimp, and milk products were associated with lower risks of CHDs in offspring. Besides, positive interaction between the dominant model of rs659366 and excessive intake of pickled vegetables was found in the additive interaction model (RERI = 1.19, P = 0.044). These findings provide the theoretical basis for gene screening and a new clue for the prevention of CHDs in offspring.
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Orbain MM, Johnson J, Nance A, Romeo AN, Silver MA, Martinez L, Leen-Mitchell M, Carey JC. Maternal diabetes-related malformations in Utah: A population study of birth prevalence 2001-2016. Birth Defects Res 2020; 113:152-160. [PMID: 33226174 DOI: 10.1002/bdr2.1843] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 11/09/2020] [Accepted: 11/10/2020] [Indexed: 11/11/2022]
Abstract
Maternal pregestational diabetes mellitus is associated with an increased risk for congenital malformations of about 2-4 times the background risk. Notably, the types and patterns of congenital malformations associated with maternal diabetes are nonrandom, with a well-established increased risk for specific classes of malformations, especially of the heart, central nervous system, and skeleton. While the increased risk in clinical and epidemiological studies is well documented in the literature, a precise estimate of overall birth prevalence of these specific congenital malformations among women with maternal pregestational diabetes, is lacking. The purpose of this study was to determine total prevalence of structural malformations associated with maternal pregestational diabetes mellitus in a population-based study. We identified infants with specific birth defects whose mother had pregestational diabetes mellitus in the Utah Birth Defect Network (UBDN), an active birth defects surveillance program that registers the occurrence of selected structural defects in the state of Utah. We defined specific maternal diabetes-related malformations based on epidemiologic and clinical studies in the literature. Of the 825,138 recorded Utah births between 2001 and 2016, a total of 91 cases were identified as likely having diabetic embryopathy within UBDN data. The prevalence of diabetes-related congenital malformation cases was calculated per year; the overall prevalence of diabetes-related malformations 2001-2016 was 1.1 per 10,000 births in Utah (95% CI, 0.9-1.3). Knowledge of the overall prevalence of diabetes-related malformations is important in predicting the number of cases that are potentially prevented with the implementation of programs to foster preconceptional management of maternal pregestational diabetes.
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Affiliation(s)
- Matthew M Orbain
- Utah Department of Health, Bureau of Children with Special Health Care Needs, Utah Birth Defect Network, Salt Lake City, Utah, USA
| | - Jane Johnson
- Utah Department of Health, Bureau of Children with Special Health Care Needs, Utah Birth Defect Network, Salt Lake City, Utah, USA
| | - Amy Nance
- Utah Department of Health, Bureau of Children with Special Health Care Needs, Utah Birth Defect Network, Salt Lake City, Utah, USA
| | - Alfred N Romeo
- Utah Department of Health, Bureau of Maternal and Child Health, Mother To Baby Utah, Salt Lake City, Utah, USA
| | - Michelle A Silver
- Utah Department of Health, Bureau of Maternal and Child Health, Data Resources Program, Salt Lake City, Utah, USA
| | - Lynn Martinez
- Utah Department of Health, Bureau of Maternal and Child Health, Mother To Baby Utah, Salt Lake City, Utah, USA
| | - Marsha Leen-Mitchell
- Utah Department of Health, Bureau of Maternal and Child Health, Mother To Baby Utah, Salt Lake City, Utah, USA.,Department of Pediatrics, Division of Medical Genetics, The University of Utah, Salt Lake City, Utah, USA
| | - John C Carey
- Utah Department of Health, Bureau of Children with Special Health Care Needs, Utah Birth Defect Network, Salt Lake City, Utah, USA.,Utah Department of Health, Bureau of Maternal and Child Health, Mother To Baby Utah, Salt Lake City, Utah, USA.,Department of Pediatrics, Division of Medical Genetics, The University of Utah, Salt Lake City, Utah, USA
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Luo L, Huang P, Wang TT, Zhao LJ, Ye ZW, Zhang SM, Chen LT, Diao JY, Li JQ, Li YH, Qin JB. [Association of maternal diabetes mellitus and UCP2 gene polymorphisms with congenital heart disease in offspring: a case-control study]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2020; 22:1092-1099. [PMID: 33059806 PMCID: PMC7569003 DOI: 10.7499/j.issn.1008-8830.2004011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 08/05/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE To study the association of maternal diabetes mellitus (DM), uncoupling protein 2 (UCP2) gene polymorphisms, and their interaction with the risk of congenital heart disease (CHD) in offspring. METHODS A hospital-based case-control study was conducted. A total of 464 mothers of children with CHD alone who were diagnosed in Hunan Children's Hospital from March 2018 to August 2019 were enrolled as the case group. A total of 504 mothers of healthy children who were hospitalized during the same period and did not have any deformity were enrolled as the control group. A questionnaire survey was performed to collect the information on exposure. Venous blood samples (5 mL) were collected from the mothers to detect UCP2 gene polymorphisms. A multivariate logistic regression analysis was used to investigate the association of maternal DM, UCP2 gene polymorphisms, and their interaction with CHD in offspring. RESULTS After control for confounding factors, the multivariate logistic regression analysis showed that mothers with gestational DM (OR=2.96, 95%CI: 1.57-5.59), a history of gestational DM (OR=3.16, 95%CI: 1.59-6.28), and pregestational DM (OR=4.52, 95%CI: 2.41-8.50) significantly increased the risk of CHD in offspring (P<0.05). The polymorphisms of the UCP2 gene at rs659366 (T/C vs C/C: OR=1.49, 95%CI: 1.02-2.16; T/T vs C/C: OR=2.77, 95%CI: 1.67-4.62) and rs660339 (A/A vs G/G: OR=2.19, 95%CI: 1.34-3.58) were significantly associated with risk of CHD in offspring (P<0.05). The interaction analysis showed an interaction between the polymorphisms of the UCP2 gene at rs659366 and rs660339 and maternal DM in the development of CHD (P<0.05). CONCLUSIONS Maternal DM, UCP2 gene polymorphisms, and their interaction are associated with the development of CHD in offspring.
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Affiliation(s)
- Liu Luo
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
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Nie Z, Yang B, Ou Y, Bloom MS, Han F, Qu Y, Nasca P, Matale R, Mai J, Wu Y, Gao X, Guo Y, Markevych I, Zou Y, Lin S, Dong G, Liu X. Maternal residential greenness and congenital heart defects in infants: A large case-control study in Southern China. ENVIRONMENT INTERNATIONAL 2020; 142:105859. [PMID: 32593836 DOI: 10.1016/j.envint.2020.105859] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 05/07/2020] [Accepted: 05/26/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Proximity to greenness has shown protective effects on coronary heart diseases by limiting exposure to environmental hazards, encouraging physical activity, and reducing mental stress. However, no studies have previously evaluated the impacts of greenness on congenital heart defects (CHDs). We examined the association between maternal residential greenness and the risks of CHDs. METHODS We conducted a case-control study (8042 children with major CHDs and 6887 controls without malformations) in 21 cities in Southern China, 2004 - 2016. CHDs cases were diagnosed and verified by obstetrician, pediatrician, or pediatric cardiologists, within one year. We estimated maternal residential greenness using satellite-derived normalized difference vegetation index (NDVI) in zones of 500 meters (m) and 1000 m surrounding participants' residences. Logistic regression models were used to assess NDVI-CHD relationships adjusting for confounders. RESULTS Interquartile range NDVI increases within 500 m or 1000 m were associated with odds ratios (OR) of 0.95 (95% confidence interval (CI): 0.92, 0.98) and 0.94 (95%CI: 0.91, 0.97) for total CHDs respectively. Air pollutants mediated 52.1% of the association. We also identified a protective threshold at 0.21 NDVI on CHD. Similar protective effects from greenness were found in most CHDs subtypes. The protective associations were stronger for fall, urban or permanent residents, higher household income maternal age ≤35 years of age, and high maternal education (ORs: ranged from 0.85 to 0.96). CONCLUSION Our findings suggest a beneficial effect of maternal residential greenness on CHDs. Further studies are needed to confirm our findings, which will help to refine preventive health and urban design strategies.
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Affiliation(s)
- Zhiqiang Nie
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China
| | - Boyi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, China
| | - Yanqiu Ou
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China
| | - Michael S Bloom
- Departments of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA
| | - Fengzhen Han
- Department of Obstetrics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road , Guangzhou 510080, Guangdong, China
| | - Yanji Qu
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China
| | - Philip Nasca
- Departments of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA
| | - Rosemary Matale
- Departments of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA
| | - Jinzhuang Mai
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China
| | - Yong Wu
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China
| | - Xiangmin Gao
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China
| | - Yuming Guo
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, China
| | - Iana Markevych
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, China
| | - Yuxuan Zou
- School of Geographical Sciences, Guangzhou University, Guangzhou 510080, China
| | - Shao Lin
- Departments of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA.
| | - Guanghui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, China.
| | - Xiaoqing Liu
- Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China.
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