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Zhu C, Xu CJ, Wu JN, Zhao W, Hu YL, Yao Y, Ren YY. Association between abnormal uterine artery pulsatility index and the risk of fetal congenital heart defects: a hospital-based cohort study. Sci Rep 2023; 13:22924. [PMID: 38129577 PMCID: PMC10739791 DOI: 10.1038/s41598-023-50167-4] [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: 03/15/2023] [Accepted: 12/15/2023] [Indexed: 12/23/2023] Open
Abstract
To explore the associations between high uterine artery pulsatility index (UtA-PI) values and congenital heart disease (CHD) risk and whether they differed between singleton and multiple pregnancies. This hospital-based cohort study involving 52,047 pregnant women who underwent prenatal examinations from 2012 to 2016. Infants born to the included pregnant women were followed until 42 days after birth to identify those with CHDs. Generalized estimating equations were used to estimate the associations of high right UtA-PI (> 95th percentile) values with maternal preeclampsia and fetal CHDs. Logistic regression analyses were conducted using path analysis models to quantify the effect of high right UtA-PI values on fetal CHD risk. A total of 42,552 women and 43,470 infants (147 with CHDs) were included. Preeclampsia risk was associated with a high right UtA-PI in singleton-pregnant women (adjusted PR, 3.01; 95% CI 2.57-3.52). CHD risk was marginally associated with a high right UtA-PI in singleton-pregnant women (adjusted PR, 2.26, 95% CI 1.03-4.95). Considering only two factors, 96.0% of the fetal CHD risk was mediated by preeclampsia in singleton-pregnant women, while 93.8% of the risk was related to a high right UtA-PI in multiple-pregnant women. A high right UtA-PI was marginally associated with an increased fetal CHD risk in singleton-pregnant women and might play an important role in multiple-pregnant women. Further studies are warranted to confirm these findings given the high loss to follow-up rate.
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Affiliation(s)
- Chen Zhu
- Department of Ultrasound, Obstetrics and Gynecology Hospital of Fudan University, No. 588 Fangxie Road, Shanghai, China
| | - Cheng-Jie Xu
- Department of Information Technology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Jiang-Nan Wu
- Department of Clinical Epidemiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Wei Zhao
- Department of Ultrasound, Obstetrics and Gynecology Hospital of Fudan University, No. 588 Fangxie Road, Shanghai, China
| | - Yan-Lai Hu
- Department of Ultrasound, Obstetrics and Gynecology Hospital of Fudan University, No. 588 Fangxie Road, Shanghai, China
| | - Ying Yao
- Department of Ultrasound, Obstetrics and Gynecology Hospital of Fudan University, No. 588 Fangxie Road, Shanghai, China
| | - Yun-Yun Ren
- Department of Ultrasound, Obstetrics and Gynecology Hospital of Fudan University, No. 588 Fangxie Road, Shanghai, China.
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Morton SU, Pereira AC, Quiat D, Richter F, Kitaygorodsky A, Hagen J, Bernstein D, Brueckner M, Goldmuntz E, Kim RW, Lifton RP, Porter GA, Tristani-Firouzi M, Chung WK, Roberts A, Gelb BD, Shen Y, Newburger JW, Seidman JG, Seidman CE. Genome-Wide De Novo Variants in Congenital Heart Disease Are Not Associated With Maternal Diabetes or Obesity. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2022; 15:e003500. [PMID: 35130025 PMCID: PMC9295870 DOI: 10.1161/circgen.121.003500] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Congenital heart disease (CHD) is the most common anomaly at birth, with a prevalence of ≈1%. While infants born to mothers with diabetes or obesity have a 2- to 3-fold increased incidence of CHD, the cause of the increase is unknown. Damaging de novo variants (DNV) in coding regions are more common among patients with CHD, but genome-wide rates of coding and noncoding DNVs associated with these prenatal exposures have not been studied in patients with CHD. METHODS DNV frequencies were determined for 1812 patients with CHD who had whole-genome sequencing and prenatal history data available from the Pediatric Cardiac Genomics Consortium's CHD GENES study (Genetic Network). The frequency of DNVs was compared between subgroups using t test or linear model. RESULTS Among 1812 patients with CHD, the number of DNVs per patient was higher with maternal diabetes (76.5 versus 72.1, t test P=3.03×10-11), but the difference was no longer significant after including parental ages in a linear model (paternal and maternal correction P=0.42). No interaction was observed between diabetes risk and parental age (paternal and maternal interaction P=0.80 and 0.68, respectively). No difference was seen in DNV count per patient based on maternal obesity (72.0 versus 72.2 for maternal body mass index <25 versus maternal body mass index >30, t test P=0.86). CONCLUSIONS After accounting for parental age, the offspring of diabetic or obese mothers have no increase in DNVs compared with other children with CHD. These results emphasize the role for other mechanisms in the cause of CHD associated with these prenatal exposures. REGISTRATION URL: https://clinicaltrials.gov; NCT01196182.
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Affiliation(s)
- Sarah U. Morton
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Boston, MA USA,Department of Pediatrics, Harvard Medical School, Boston, MA USA
| | | | - Daniel Quiat
- Department of Pediatrics, Harvard Medical School, Boston, MA USA,Department of Cardiology, Boston Children’s Hospital, Boston, MA USA
| | - Felix Richter
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Alexander Kitaygorodsky
- Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY USA
| | - Jacob Hagen
- Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY USA
| | - Daniel Bernstein
- Department of Pediatrics (Cardiology), Stanford University, Stanford, CA USA
| | - Martina Brueckner
- Departments of Genetics and Pediatrics; Yale University School of Medicine, New Haven, CT USA
| | - Elizabeth Goldmuntz
- Division of Cardiology, Children’s Hospital of Philadelphia, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | | | - Richard P. Lifton
- Laboratory of Human Genetics and Genomics, The Rockefeller University, New York, NY USA
| | - George A. Porter
- Department of Pediatrics, University of Rochester Medical Center, The School of Medicine and Dentistry, Rochester, NY USA
| | | | - Wendy K. Chung
- Departments of Pediatrics and Medicine, Columbia University Medical Center, New York, NY USA
| | - Amy Roberts
- Department of Pediatrics, Harvard Medical School, Boston, MA USA,Department of Cardiology, Boston Children’s Hospital, Boston, MA USA
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute and Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Yufeng Shen
- Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY USA
| | - Jane W. Newburger
- Department of Pediatrics, Harvard Medical School, Boston, MA USA,Department of Cardiology, Boston Children’s Hospital, Boston, MA USA
| | - J. G. Seidman
- Department of Genetics, Harvard Medical School, Boston, MA USA
| | - Christine E. Seidman
- Department of Genetics, Harvard Medical School, Boston, MA USA,Cardiovascular Division, Brigham and Women’s Hospital, Boston, MA USA,Howard Hughes Medical Institute, Chevy Chase, MD USA
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Zhang S, Qiu X, Wang T, Chen L, Li J, Diao J, Li Y, Qin J, Chen L, Jiang Y. Hypertensive Disorders in Pregnancy Are Associated With Congenital Heart Defects in Offspring: A Systematic Review and Meta-Analysis. Front Cardiovasc Med 2022; 9:842878. [PMID: 35419442 PMCID: PMC8995565 DOI: 10.3389/fcvm.2022.842878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 03/03/2022] [Indexed: 11/16/2022] Open
Abstract
Background Although research indicates an association between hypertensive disorders of pregnancy (HDP) and congenital heart defects (CHDs) in offspring, consistency is still lacking. Therefore, we aimed to synthesize the updated published epidemiologic evidence to estimate the association of maternal HDP with the risk of total CHDs and its phenotypes in offspring. Methods A systematic search of Web of Science Database, PubMed, and Embase were searched from inception through April 30, 2021 based on a preprepared protocol, and the reference lists were also manually searched. The combined risk estimates were calculated using either the fixed-effect models or random-effect models. Possible heterogeneity moderators were detected by subgroup, sensitivity analyses, and Galbraith plot. Results Twenty-four studies involving 477,839 CHDs cases among 40,394,699 participants were included in our meta-analysis. Mothers who had HDP exposure were significantly associated with an increased risk of total CHDs compared with non-exposure. When maternal HDP exposure was further subdivided into pre-eclampsia (OR = 1.79, 95% CI: 1.50–2.13), gestational hypertension (OR = 1.16, 95% CI: 1.02–1.31), and chronic hypertension (OR = 1.68, 95% CI: 1.49–1.89), a significantly increased risk of total CHDs were still presented. Furthermore, a statistically significant increased association was found between maternal HDP exposure and most CHD phenotypes. Besides, relevant heterogeneity moderators have been identified by subgroup and sensitivity analyses. Conclusion Our study suggested that maternal HDP exposure may be associated with an increase in the risk of CHDs in offspring. These findings highlight the need for greater surveillance of pregnant women with HDP exposure to allow early prevention that may be good for reducing the risk of CHDs in offspring. Clinical Trial Registration [www.ClinicalTrials.gov], identifier [CRD42021268093].
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Affiliation(s)
- Senmao Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Xing Qiu
- Xiangya Nursing School of Central South University, Changsha, China
| | - Tingting Wang
- National Health Commission Key Laboratory for Birth Defect Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China
| | - Letao Chen
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Jinqi Li
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Jingyi Diao
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Yihuan Li
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Jiabi Qin
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Lizhang Chen
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
- *Correspondence: Lizhang Chen,
| | - Yurong Jiang
- Department of Obstetrics, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China
- Yurong Jiang,
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Chaudhry PM, Ball MK, Hamrick SEG, Levy PT, Asselin J, Brozanski B, Durand D, Dykes F, Evans J, Grover T, Murthy K, Padula M, Pallotto E, Piazza A, Reber K, Short B. Premature congenital heart disease: building a comprehensive database to evaluate risks and guide intervention. J Pediatr 2021; 230:272-273.e1. [PMID: 33253730 DOI: 10.1016/j.jpeds.2020.11.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 11/24/2020] [Indexed: 11/16/2022]
Affiliation(s)
- Paulomi M Chaudhry
- Division of Neonatology, Indiana University School of Medicine, Riley Hospital for Children, Indianapolis, Indiana
| | - Molly K Ball
- Division of Neonatology, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Shannon E G Hamrick
- Division of Neonatology, Emory University and Children's Healthcare of Atlanta, Atlanta, Georgia
| | - Philip T Levy
- Department of Pediatrics, Harvard Medical School and Division of Newborn Medicine, Boston Children's Hospital, Boston, Massachusetts
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