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Viera E, Meras P, Merino C, Perez E, Ruiz J, Balbacid E, Abelleira C, Aroca A, Moreno R. Diagnosis of Congenital Heart Disease in Adulthood: How Often, How Relevant? Am J Cardiol 2024; 231:72-74. [PMID: 39265799 DOI: 10.1016/j.amjcard.2024.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Accepted: 09/02/2024] [Indexed: 09/14/2024]
Abstract
Congenital heart disease (CHD) is typically detected during fetal life, infancy, or early childhood. However, there is no published data regarding the proportion of congenital heart defects that are diagnosed in adulthood or the impact of these defects. Retrospective analyses of all consecutive patients (n = 1,010) referred to an adult CHD unit between 2018 and 2023. We analyzed the proportion of cases diagnosed in adulthood, defining the type of defect, reasons for diagnosis, complications, and need for intervention. In total, 26.5% of patients were diagnosed in adulthood (mean age 47 ± 16 years). Overall, 75% were in New York Heart Association class I/IV. Most were mild complexity lesions (57.5%). The most common diagnoses were pre-tricuspid shunts, including ostium secundum atrial septal defect (ASD, 23.9%), partial anomalous pulmonary vein drainage (18.3%), and other types of ASD (5.9%). Bicuspid aortic valve (16.8%) and aortic coarctation (8.2%) were common. Other diagnoses included Ebstein's anomaly (5.6%), ventricular septal defect (4.5%), patent ductus arteriosus (2.6%), or congenitally corrected transposition of the great arteries (2.6%). The main reason for diagnostic work-up was cardiac symptoms (28.4%) such as dyspnea (19%) and palpitations (7.1%), followed by incidental findings on imaging (25.4%). A total of 47.4% had some complications, the most common being pulmonary hypertension (24.3%). Surgical repair was required in 27.2% and 25.4% underwent percutaneous intervention. About one-fourth of patients with CHD were diagnosed in adulthood, and up to 42.5% had moderate or severe complexity lesions. A significant proportion had developed complications at the time of diagnosis and half of them required intervention.
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Affiliation(s)
- Elisabet Viera
- Insular University Hospital of Gran Canaria. Las Palmas de Gran Canaria, Spain
| | - Pablo Meras
- University hospital La Paz, Madrid, Spain; La Paz Hospital Institute for Health Research, (IdiPAZ), Madrid, Spain.
| | - Carlos Merino
- University hospital La Paz, Madrid, Spain; La Paz Hospital Institute for Health Research, (IdiPAZ), Madrid, Spain
| | - Eliu Perez
- Insular University Hospital of Gran Canaria. Las Palmas de Gran Canaria, Spain
| | - Jose Ruiz
- University hospital La Paz, Madrid, Spain; La Paz Hospital Institute for Health Research, (IdiPAZ), Madrid, Spain
| | - Enrique Balbacid
- University hospital La Paz, Madrid, Spain; La Paz Hospital Institute for Health Research, (IdiPAZ), Madrid, Spain
| | - Cesar Abelleira
- University hospital La Paz, Madrid, Spain; La Paz Hospital Institute for Health Research, (IdiPAZ), Madrid, Spain
| | - Angel Aroca
- University hospital La Paz, Madrid, Spain; La Paz Hospital Institute for Health Research, (IdiPAZ), Madrid, Spain
| | - Raul Moreno
- University hospital La Paz, Madrid, Spain; La Paz Hospital Institute for Health Research, (IdiPAZ), Madrid, Spain
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Hu D, Lan T, Chen Y, Chen L, Li J, Sun X, Chen H, Fang J. An 18-year evolution of congenital heart disease in China: An echocardiographic database-based study. Int J Cardiol 2023; 391:131286. [PMID: 37619874 DOI: 10.1016/j.ijcard.2023.131286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 07/20/2023] [Accepted: 08/20/2023] [Indexed: 08/26/2023]
Abstract
OBJECTIVE Data on the evolution of congenital heart disease (CHD) in China remain scarce. Based on a Chinese echocardiography database, we analyzed the observed rate (OR) and spectrum changes of CHD over the past 18 years with a focus on the congenital aortic valve malformation (CAVM) and Adult CHD (ACHD). METHODS AND RESULTS The transthoracic echocardiographic data of 682,565 records from 2003 to 2020 were retrospectively reviewed at Fujian Medical University Union Hospital, China. A total of 37,200 CHD cases were recruited in this study. Over the three periods (from 2003 to 2008, 2009-2014, to 2015-2020), the OR of Total CHD decreased (106.72, 90.64, and 67.43 per 1000 cases, respectively); the proportion of Simple CHD to Total CHD increased (80.96%, 83.41%, and 87.97%, respectively), with a decrease in the proportion of Complex CHD (18.11%, 15.51%, and 10.42%, respectively) (p < 0.05 for all). The proportion of ACHD increased in most types of CHD [Total CHD: 25.79%, 27.84%, and 31.43%; CAVM: 69.02%, 73.42%, and 78.16%; CAVM with aortic stenosis (AS): 67.42%, 70.73%, and 79.25%; respectively, p < 0.05 for all], with a much higher proportion in both CAVM and CAVM with AS than in the other CHD types. The proportion of CHD patients receiving intervention increased over the designated periods. CONCLUSIONS This study depicts the longitudinal changes of CHD in the Chinese population with a single-center echocardiographic data, revealing an increased proportion of Simple CHD, ACHD (including CAVM and CAVM with AS), and a decreased OR of Total CHD and proportion of Complex CHD.
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Affiliation(s)
- DanQing Hu
- Department of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China; School of Health, Fujian Medical University, Fuzhou, PR China
| | - TingXiang Lan
- Department of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China; Department of Ultrasound, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, PR China
| | - YiFan Chen
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, PR China
| | - LinYan Chen
- Department of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China
| | - JinGuo Li
- Department of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China
| | - XuDong Sun
- Department of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China
| | - Hua Chen
- Department of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China
| | - Jun Fang
- Department of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China.
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Taylor K, Thomas R, Mumme M, Golding J, Boyd A, Northstone K, Caputo M, A Lawlor D. Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort. Wellcome Open Res 2021; 5:231. [PMID: 33628950 PMCID: PMC7871361 DOI: 10.12688/wellcomeopenres.16339.2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/07/2021] [Indexed: 02/02/2023] Open
Abstract
Congenital anomalies (CAs) are structural or functional disorders that occur during intrauterine life. Longitudinal cohort studies provide unique opportunities to investigate potential causes and consequences of these disorders. In this data note, we describe how we identified cases of major CAs, with a specific focus on congenital heart diseases (CHDs), in the Avon Longitudinal Study of Parents and Children (ALSPAC). We demonstrate that combining multiple sources of data including data from antenatal, delivery, primary and secondary health records, and parent-reported information can improve case ascertainment. Our approach identified 590 participants with a CA according to the European Surveillance of Congenital Anomalies (EUROCAT) guidelines, 127 of whom had a CHD. We describe the methods that identified these cases and provide statistics on subtypes of anomalies. The data note contains details on the processes required for researchers to access these data.
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Affiliation(s)
- Kurt Taylor
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2PS, UK
| | - Richard Thomas
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- Avon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Mark Mumme
- Avon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Jean Golding
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- Centre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Andy Boyd
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- Avon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Kate Northstone
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- Avon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Massimo Caputo
- Department of Translational Science, Bristol Medical School, University of Bristol, Bristol, BS2 8DZ, UK
- Bristol NIHR Biomedical Research Center, University of Bristol, Bristol, BS1 2NT, UK
| | - Deborah A Lawlor
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2PS, UK
- Bristol NIHR Biomedical Research Center, University of Bristol, Bristol, BS1 2NT, UK
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Taylor K, Thomas R, Mumme M, Golding J, Boyd A, Northstone K, Caputo M, A Lawlor D. Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort. Wellcome Open Res 2020; 5:231. [PMID: 33628950 PMCID: PMC7871361 DOI: 10.12688/wellcomeopenres.16339.1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2020] [Indexed: 02/02/2023] Open
Abstract
Congenital anomalies (CAs) are structural or functional disorders that occur during intrauterine life. Longitudinal cohort studies provide unique opportunities to investigate potential causes and consequences of these disorders. In this data note, we describe how we identified cases of major CAs, with a specific focus on congenital heart diseases (CHDs), in the Avon Longitudinal Study of Parents and Children (ALSPAC). We demonstrate that combining multiple sources of data including data from antenatal, delivery, primary and secondary health records, and parent-reported information can improve case ascertainment. Our approach identified 590 participants with a CA according to the Euro Registers of Congenital Anomalies (EUROCAT) guidelines, 127 of whom had a CHD. We describe the methods that identified these cases and provide statistics on subtypes of anomalies. The data note contains details on the processes required for researchers to access these data.
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Affiliation(s)
- Kurt Taylor
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2PS, UK
| | - Richard Thomas
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- Avon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Mark Mumme
- Avon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Jean Golding
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- Centre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Andy Boyd
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- Avon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Kate Northstone
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- Avon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Massimo Caputo
- Department of Translational Science, Bristol Medical School, University of Bristol, Bristol, BS2 8DZ, UK
- Bristol NIHR Biomedical Research Center, University of Bristol, Bristol, BS1 2NT, UK
| | - Deborah A Lawlor
- Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2PS, UK
- Bristol NIHR Biomedical Research Center, University of Bristol, Bristol, BS1 2NT, UK
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