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Killen SAS, Strasburger JF. Diagnosis and Management of Fetal Arrhythmias in the Current Era. J Cardiovasc Dev Dis 2024; 11:163. [PMID: 38921663 PMCID: PMC11204159 DOI: 10.3390/jcdd11060163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 05/18/2024] [Accepted: 05/20/2024] [Indexed: 06/27/2024] Open
Abstract
Diagnosis and management of fetal arrhythmias have changed over the past 40-50 years since propranolol was first used to treat fetal tachycardia in 1975 and when first attempts were made at in utero pacing for complete heart block in 1986. Ongoing clinical trials, including the FAST therapy trial for fetal tachycardia and the STOP-BLOQ trial for anti-Ro-mediated fetal heart block, are working to improve diagnosis and management of fetal arrhythmias for both mother and fetus. We are also learning more about how "silent arrhythmias", like long QT syndrome and other inherited channelopathies, may be identified by recognizing "subtle" abnormalities in fetal heart rate, and while echocardiography yet remains the primary tool for diagnosing fetal arrhythmias, research efforts continue to advance the clinical envelope for fetal electrocardiography and fetal magnetocardiography. Pharmacologic management of fetal arrhythmias remains one of the most successful achievements of fetal intervention. Patience, vigilance, and multidisciplinary collaboration are key to successful diagnosis and treatment.
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Affiliation(s)
- Stacy A. S. Killen
- Thomas P. Graham Jr. Division of Pediatric Cardiology, Department of Pediatrics, Vanderbilt University Medical Center, Monroe Carell Jr. Children’s Hospital at Vanderbilt, 2200 Children’s Way, Suite 5230, Nashville, TN 37232, USA
| | - Janette F. Strasburger
- Division of Cardiology, Departments of Pediatrics and Biomedical Engineering, Children’s Wisconsin, Herma Heart Institute, Medical College of Wisconsin, Milwaukee, WI 53226, USA;
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Chaudhry-Waterman N, Dara B, Bucholz E, Londono Obregon C, Grenier M, Snyder K, Cuneo BF. Fetal Heart Rate < 3rd Percentile for Gestational Age Can Be a Marker of Inherited Arrhythmia Syndromes. J Clin Med 2023; 12:4464. [PMID: 37445499 DOI: 10.3390/jcm12134464] [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: 04/30/2023] [Revised: 06/16/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Repeated fetal heart rates (FHR) < 3rd percentile for gestational age (GA) with 1:1 atrioventricular conduction (sinus bradycardia) can be a marker for long QT syndrome. We hypothesized that other inherited arrhythmia syndromes might present with fetal sinus bradycardia. METHODS We reviewed pregnancies referred with sinus bradycardia to the Colorado Fetal Care Center between 2013 and 2023. FHR/GA data, family history, medication exposure, normalized isovolumic contraction times (n-IVRT), postnatal genetic testing, and ECGs at 4-6 weeks after birth were reviewed. RESULTS Twenty-nine bradycardic subjects were evaluated by fetal echocardiography. Five were lost to follow-up, one refused genetic testing, and one had negative genetic testing for any inherited arrhythmia. Six had non-genetic causes of fetal bradycardia with normal prenatal n-IVRT and postnatal QTc. Thirteen carried pathogenic variants in RYR2 (n = 2), HCN4 (n = 2), KCNQ1 (6), and other LQTS genes (n = 4). The postnatal QTc was <470 ms in subjects with RYR2, HCN4, and two of those with KCNQ1 mutations, and >470 ms in subjects with CALM 2, KCNH2, SCN5A, and four of those with KCNQ1 mutations. LQTS and RYR2 mutations were associated with prolonged n-IVRT, but HCN4 was not. Two fetuses died in utero with variants of uncertain significance (CACNA1 and KCNE1). Cascade testing uncovered six affected but undiagnosed parents and confirmed familial inheritance in five. CONCLUSION In addition to heralding LQTS, repeated FHR < 3rd percentile for GA is a risk factor for other inherited arrhythmia syndromes. These findings suggest that genetic testing should be offered to infants with a history of FHR < 3rd percentile for GA even if the postnatal ECG demonstrates a normal QTc interval.
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Affiliation(s)
- Nadia Chaudhry-Waterman
- The Division of Cardiology, Department of Pediatrics, University of Colorado School of Medicine, Denver, CO 80045, USA
| | - Bharat Dara
- Presbyterian Hospital, Albuquerque, NM 87106, USA
| | - Emily Bucholz
- The Division of Cardiology, Department of Pediatrics, University of Colorado School of Medicine, Denver, CO 80045, USA
- The Colorado Fetal Care Center, Children's Hospital Colorado, Aurora, CO 80045, USA
| | - Camila Londono Obregon
- The Division of Cardiology, Department of Pediatrics, University of Colorado School of Medicine, Denver, CO 80045, USA
- The Colorado Fetal Care Center, Children's Hospital Colorado, Aurora, CO 80045, USA
| | - Michelle Grenier
- The Division of Cardiology, Department of Pediatrics, University of Colorado School of Medicine, Denver, CO 80045, USA
- The Colorado Fetal Care Center, Children's Hospital Colorado, Aurora, CO 80045, USA
| | - Kristen Snyder
- The Colorado Fetal Care Center, Children's Hospital Colorado, Aurora, CO 80045, USA
| | - Bettina F Cuneo
- The Division of Cardiology, Department of Pediatrics, University of Colorado School of Medicine, Denver, CO 80045, USA
- The Colorado Fetal Care Center, Children's Hospital Colorado, Aurora, CO 80045, USA
- The Department of Obstetrics, University of Colorado School of Medicine, Denver, CO 80045, USA
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Liu G, Yang Z, Chen W, Xu J, Mao L, Yu Q, Guo J, Xu H, Liu F, Sun Y, Huang H, Peng Z, Sun J, Li W, Yang P. Novel missense variant in TTN cosegregating with familial atrioventricular block. Eur J Med Genet 2019; 63:103752. [PMID: 31470098 DOI: 10.1016/j.ejmg.2019.103752] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 06/21/2019] [Accepted: 08/24/2019] [Indexed: 01/24/2023]
Abstract
BACKGROUND Cardiovascular diseases are the most common cause of death globally. In which atrioventricular block (AVB) is a common disorder with genetic causes, but the responsible genes have not been fully identified yet. To determine the underlying causative genes involved in cardiac AVB, here we report a three-generation Chinese family with severe autosomal dominant cardiac AVB that has been ruled out as being caused by known genes mutations. METHODS Whole-exome sequencing was performed in five affected family members across three generations, and co-segregation analysis was validated on other members of this family. RESULTS Whole-exome sequencing and subsequent co-segregation validation identified a novel germline heterozygous point missense mutation, c.49287C > A (p.N16429K), in the titin (TTN, NM_001267550.2) gene in all 5 affected family members but not in the unaffected family members, neither in the large population according to the Genome Aggregation Database (https://gnomad.broadinstitute.org/). The point mutation is predicted to be functionally deleterious by in-silico software tools. Our finding was further supported by the conservative analysis across species. CONCLUSION Based on this study, TTN was identified as a potential novel candidate gene for autosomal dominant AVB; this study expands the mutational spectrum of TTN gene and is the first to implicate TTN mutations as AVB disease causing in a Chinese pedigree.
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Affiliation(s)
- Guohui Liu
- Department of Cardiology, China-Japan Union Hospital, Jilin University, Changchun, 100029, Jilin Province, China; Jilin Provincial Key Laboratory for Genetic Diagnosis of Cardiovascular Disease, USA
| | - Ziying Yang
- Tianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, 300308, China; Binhai Genomics Institute, BGI-Tianjin, BGI Shenzhen, Tianjin, 300308, China; James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China
| | - Weiwei Chen
- Department of Cardiology, China-Japan Union Hospital, Jilin University, Changchun, 100029, Jilin Province, China; Jilin Provincial Key Laboratory for Genetic Diagnosis of Cardiovascular Disease, USA
| | - Junguang Xu
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Liangwei Mao
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Qinlin Yu
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China; Department of Molecular Cell Biology, UC Berkeley, Berkeley, CA, 94704, USA
| | - Jian Guo
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Hui Xu
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Fengxia Liu
- Tianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, 300308, China; Binhai Genomics Institute, BGI-Tianjin, BGI Shenzhen, Tianjin, 300308, China
| | - Yan Sun
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Hui Huang
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Zhiyu Peng
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Jun Sun
- Tianjin Medical Laboratory, BGI-Tianjin, BGI-Shenzhen, Tianjin, 300308, China; Binhai Genomics Institute, BGI-Tianjin, BGI Shenzhen, Tianjin, 300308, China; James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China
| | - Wei Li
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
| | - Ping Yang
- Department of Cardiology, China-Japan Union Hospital, Jilin University, Changchun, 100029, Jilin Province, China; Jilin Provincial Key Laboratory for Genetic Diagnosis of Cardiovascular Disease, USA.
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Vink AS, Kuipers IM, De Bruin-Bon RHACM, Wilde AAM, Blom NA, Clur SAB. A Potential Diagnostic Approach for Foetal Long-QT Syndrome, Developed and Validated in Children. Pediatr Cardiol 2018; 39:1413-1422. [PMID: 29789915 PMCID: PMC6153877 DOI: 10.1007/s00246-018-1911-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Accepted: 05/11/2018] [Indexed: 01/12/2023]
Abstract
In patients with Long-QT Syndrome (LQTS), mechanical abnormalities have been described. Recognition of these abnormalities could potentially be used in the diagnosis of LQTS, especially in the foetus where an ECG is not available and DNA-analysis is invasive. We aimed to develop and validate a marker for these mechanical abnormalities in children and to test its feasibility in foetuses as a proof of principle. We measured the myocardial contraction duration using colour Tissue Doppler Imaging (cTDI) in 41 LQTS children and age- and gender-matched controls. Children were chosen to develop and validate the measurement of the myocardial contraction duration, due to the availability of a simultaneously recorded ECG. Feasibility of this measurement in foetuses was tested in an additional pilot study among seven LQTS foetuses and eight controls. LQTS children had a longer myocardial contraction duration compared to controls, while there was no statistical difference in heart rate. Measuring the myocardial contraction duration in children had a high inter- and intra-observer validity and reliably correlated with the QT-interval. There was an area under the curve (AUC) of 0.71, and the optimal cut-off value showed an especially high specificity in diagnosing LQTS. Measuring the myocardial contraction duration was possible in all foetuses and had a high inter- and intra-observer validity (ICC = 0.71 and ICC = 0.88, respectively). LQTS foetuses seemed to have a longer myocardial contraction duration compared to controls. Therefore, a prolonged contraction duration may be a potential marker for the prenatal diagnosis of LQTS in the future. Further studies are required to support the measurement of the myocardial contraction duration as a diagnostic approach for foetal LQTS.
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Affiliation(s)
- Arja Suzanne Vink
- Heart Centre, Department of Cardiology, Academic Medical Centre, University of Amsterdam, PO Box 22660, 1100 DD, Amsterdam, The Netherlands. .,Department of Paediatric Cardiology, Emma Children's Hospital, Academic Medical Centre, Amsterdam, The Netherlands.
| | - Irene M. Kuipers
- Department of Paediatric Cardiology, Emma Children’s Hospital, Academic Medical Centre, Amsterdam, The Netherlands
| | - Rianne H. A. C. M. De Bruin-Bon
- Heart Centre, Department of Cardiology, Academic Medical Centre, University of Amsterdam, PO Box 22660, 1100 DD Amsterdam, The Netherlands
| | - Arthur A. M. Wilde
- Heart Centre, Department of Cardiology, Academic Medical Centre, University of Amsterdam, PO Box 22660, 1100 DD Amsterdam, The Netherlands
| | - Nico A. Blom
- Department of Paediatric Cardiology, Emma Children’s Hospital, Academic Medical Centre, Amsterdam, The Netherlands ,Department of Paediatric Cardiology, Willem-Alexander Children’s Hospital, University Medical Centre Leiden, Leiden, The Netherlands
| | - Sally-Ann B. Clur
- Department of Paediatric Cardiology, Emma Children’s Hospital, Academic Medical Centre, Amsterdam, The Netherlands
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Miyake A, Sakaguchi H, Miyazaki A, Miyoshi T, Aiba T, Shiraishi I. Successful prenatal management of ventricular tachycardia and second-degree atrioventricular block in fetal long QT syndrome. HeartRhythm Case Rep 2016; 3:53-57. [PMID: 28491768 PMCID: PMC5420015 DOI: 10.1016/j.hrcr.2016.09.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Affiliation(s)
- Akira Miyake
- Department of Pediatric Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Heima Sakaguchi
- Department of Pediatric Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Aya Miyazaki
- Department of Pediatric Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Takekazu Miyoshi
- Department of Perinatology and Gynecology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Takeshi Aiba
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Isao Shiraishi
- Department of Pediatric Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan
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Suratanee A, Plaimas K. DDA: A Novel Network-Based Scoring Method to Identify Disease-Disease Associations. Bioinform Biol Insights 2015; 9:175-86. [PMID: 26673408 PMCID: PMC4674013 DOI: 10.4137/bbi.s35237] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Revised: 11/11/2015] [Accepted: 11/14/2015] [Indexed: 12/15/2022] Open
Abstract
Categorizing human diseases provides higher efficiency and accuracy for disease diagnosis, prognosis, and treatment. Disease–disease association (DDA) is a precious information that indicates the large-scale structure of complex relationships of diseases. However, the number of known and reliable associations is very small. Therefore, identification of DDAs is a challenging task in systems biology and medicine. Here, we developed a novel network-based scoring algorithm called DDA to identify the relationships between diseases in a large-scale study. Our method is developed based on a random walk prioritization in a protein–protein interaction network. This approach considers not only whether two diseases directly share associated genes but also the statistical relationships between two different diseases using known disease-related genes. Predicted associations were validated by known DDAs from a database and literature supports. The method yielded a good performance with an area under the curve of 71% and outperformed other standard association indices. Furthermore, novel DDAs and relationships among diseases from the clusters analysis were reported. This method is efficient to identify disease–disease relationships on an interaction network and can also be generalized to other association studies to further enhance knowledge in medical studies.
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Affiliation(s)
- Apichat Suratanee
- Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
| | - Kitiporn Plaimas
- Integrative Bioinformatics and System Biology Group, Advanced Virtual and Intelligent Computing (AVIC) Research Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
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