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Abboud F, Nakhal R, Alshwaiki A, Hanna M, Ishkhan K. Navigating complex cardiac complications: A case report of alcoholic cardiomyopathy and right atrial thrombosis. Medicine (Baltimore) 2024; 103:e39443. [PMID: 39183404 PMCID: PMC11346856 DOI: 10.1097/md.0000000000039443] [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: 05/03/2024] [Revised: 07/29/2024] [Accepted: 08/05/2024] [Indexed: 08/27/2024] Open
Abstract
RATIONALE Alcoholic cardiomyopathy (ACM) is associated with various cardiac complications, but the development of isolated right atrial (RA) thrombus without deep vein thrombosis is rare and presents diagnostic challenges. PATIENT CONCERNS A 53-year-old Hispanic male presented with shortness of breath, chills, cough, bilateral lower extremity edema, and distended abdomen. DIAGNOSES The patient was diagnosed with ACM, liver cirrhosis, and a large RA thrombus. Initial transthoracic echocardiography showed severe left ventricular systolic dysfunction but failed to detect the RA mass. Subsequent computed tomography scan and transesophageal echocardiography revealed a large oval mass in the RA, measuring 40 mm × 22 mm × 18 mm. INTERVENTIONS The patient received guideline-directed medical therapy for heart failure and anticoagulation with enoxaparin. He underwent cardiac catheterization for mechanical thrombectomy, which was minimally successful. OUTCOMES The patient's condition was managed with the prescribed interventions. Regular follow-up was planned to assess thrombolysis. LESSONS RA thrombosis is an uncommon complication of ACM. A multimodal imaging approach, with a low threshold for transesophageal echocardiography, is crucial in evaluating patients with ACM who present with cardiac complications. This approach enables accurate diagnosis and management of rare conditions like isolated RA thrombosis.
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Affiliation(s)
- Fares Abboud
- Faculty of Medicine, Damascus University, Damascus, Syrian Arab Republic
| | - Ranim Nakhal
- Department of Pathology, Faculty of Medicine, Damascus University, Damascus, Syrian Arab Republic
- Stemosis for Scientific Research, Damascus, Syrian Arab Republic
| | - Afif Alshwaiki
- Faculty of Medicine, Damascus University, Damascus, Syrian Arab Republic
- Stemosis for Scientific Research, Damascus, Syrian Arab Republic
| | - Majd Hanna
- Faculty of Medicine, Damascus University, Damascus, Syrian Arab Republic
- Stemosis for Scientific Research, Damascus, Syrian Arab Republic
| | - Khachig Ishkhan
- Faculty of Medicine, Aleppo University, Aleppo, Syrian Arab Republic
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Ramos-Rosillo V, Cabello-Ganem A, Guerra EC, Salas-Martinez A, Panchos YAV, Luna-Alcala S, Martinez-Dominguez P, Aparicio-Ortiz AD, Antonio-Villa NE, Espinola-Zavaleta N. Diagnostic approach and treatment of ventricular septal defect associated with PDA, coarctation of aorta, hypoplastic aortic arch and multiple valvular heart disease in a tertiary center: An infrequent association. Radiol Case Rep 2024; 19:3461-3464. [PMID: 38872743 PMCID: PMC11169064 DOI: 10.1016/j.radcr.2024.05.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 05/06/2024] [Accepted: 05/10/2024] [Indexed: 06/15/2024] Open
Abstract
Ventricular septal defect is the most common congenital heart disease in children and is associated with patent ductus arteriosus in 1%-7% of cases. The coexistence of both malformities with hypoplastic aortic arch and aortic coarctation is even rarer. We present the case of a 6-year-old girl referred to our hospital because of dyspnea on feeding, recurrent respiratory infections, poor weight gain, and a heart murmur. The image studies revealed a ventricular septal defect, patent ductus arteriosus, severe hypoplasia of the aortic arch with critical stenosis of the proximal portion, severe dilatation of the pulmonary artery and pulmonary, mitral, tricuspid, and aortic regurgitation. We will discuss the diagnostic approach and treatment in a tertiary reference center for patients with cardiovascular diseases.
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Affiliation(s)
- Varna Ramos-Rosillo
- Immunology Department, National Institute of Cardiology Ignacio Chavez, Mexico City, Mexico
| | - Aldo Cabello-Ganem
- Department of Nuclear Cardiology, National Institute of Cardiology Ignacio Chavez, Mexico City, Mexico
| | - Enrique C. Guerra
- Department of Nuclear Cardiology, National Institute of Cardiology Ignacio Chavez, Mexico City, Mexico
- MD–PhD (PECEM) Program, School of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | | | | | - Santiago Luna-Alcala
- Department of Nuclear Cardiology, National Institute of Cardiology Ignacio Chavez, Mexico City, Mexico
| | - Pavel Martinez-Dominguez
- Department of Nuclear Cardiology, National Institute of Cardiology Ignacio Chavez, Mexico City, Mexico
| | | | | | - Nilda Espinola-Zavaleta
- Department of Nuclear Cardiology, National Institute of Cardiology Ignacio Chavez, Mexico City, Mexico
- Department of Echocardiography, ABC Medical Center IAP, Mexico City, Mexico
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Cantinotti M, Di Salvo G, Voges I, Raimondi F, Greil G, Ortiz Garrido A, Bharucha T, Grotenhuis HB, Köstenberger M, Bonnello B, Miller O, McMahon CJ. Standardization in paediatric echocardiographic reporting and critical interpretation of measurements, functional parameters, and prediction scores: a clinical consensus statement of the European Association of Cardiovascular Imaging of the European Society of Cardiology and the Association for European Paediatric and Congenital Cardiology. Eur Heart J Cardiovasc Imaging 2024; 25:1029-1050. [PMID: 38833586 DOI: 10.1093/ehjci/jeae147] [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: 05/22/2024] [Accepted: 05/23/2024] [Indexed: 06/06/2024] Open
Abstract
This document has been developed to provide a guide for basic and advanced reporting in paediatric echocardiography. Furthermore, it aims to help clinicians in the interpretation of echocardiographic measurements and functional data for estimating the severity of disease in different paediatric age groups. The following topics will be reviewed and discussed in the present document: (i) the general principle in constructing a paediatric echocardiographic report, (ii) the basic elements to be included, and (iii) the potential and limitation of currently employed tools used for disease severity quantification during paediatric reporting. A guide for the interpretation of Z-scores will be provided. Use and interpretation of parameters employed for quantification of ventricular systolic function will be discussed. Difficulties in the adoption of adult parameters for the study of diastolic function and valve defects at different ages and pressure and loading conditions will be outlined, with pitfalls for the assessment listed. A guide for careful use of prediction scores for complex congenital heart disease will be provided. Examples of basic and advanced (disease-specific) formats for reporting in paediatric echocardiography will be provided. This document should serve as a comprehensive guide to (i) structure a comprehensive paediatric echocardiographic report; (ii) identify the basic morphological details, measures, and functional parameters to be included during echocardiographic reporting; and (iii) correctly interpret measurements and functional data for estimating disease severity.
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Affiliation(s)
- Massimiliano Cantinotti
- Department of Pediatric Cardiology and Congenital Heart Disease, National Research Council-Tuscany Region G. Monasterio Foundation (FTGM), Massa, Pisa 54100, Italy
| | - Giovanni Di Salvo
- Paediatric Cardiology and Congenital Heart Disease, Woman and Children's Health Department, University of Padua; Experimental Cardiology, Paediatric Research Institute (IRP), Padua, Italy
| | - Inga Voges
- Department of Congenital Heart Disease and Pediatric Cardiology, DZHK (German Centre for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, University Hospital Schleswig-Holstein, Kiel, Germany
| | | | - Gerald Greil
- Division Pediatric Cardiology, UT Southwestern, Dallas, TX, USA
| | | | - Tara Bharucha
- Department of Paediatric Cardiology, University Hospital Southampton, Southampton, UK
| | - Heynric B Grotenhuis
- Department Pediatric Cardiology, Wilhelmina Children's Hospital/UMCU, Utrecht, The Netherlands
| | - Martin Köstenberger
- Department of Pediatrics, Division of Pediatric Cardiology, Medical University of Gratz, Gratz, Austria
| | | | - Owen Miller
- Department Pediatric Cardiology, Evelina London Children's Hospital, London, UK
| | - Colin J McMahon
- Department Paediatric Cardiology, Children's Health Ireland at Crumlin, Dublin, Ireland
- School of Medicine, University College Dublin, Belfield, Dublin, Ireland
- Maastricht School of Health Professions Education, Maastricht, The Netherlands
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4
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Surkova E, Lakatos BK, Fábián A, Kovács A, Senior R, Li W. Myocardial work of the systemic right ventricle and its association with outcomes. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2024; 40:1105-1114. [PMID: 38507153 DOI: 10.1007/s10554-024-03081-3] [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: 11/19/2023] [Accepted: 03/09/2024] [Indexed: 03/22/2024]
Abstract
We aimed to evaluate clinical and prognostic significance of myocardial work parameters of the systemic right ventricle (SRV). Thirty-eight patients with the SRV underwent echocardiographic assessment of the SRV systolic function including 3D-echocardiography derived ejection fraction, 2D longitudinal strain and myocardial work analysis. The study endpoint was the combination of all-cause mortality and heart transplantation. Global constructive work (GCW) and global work index (GWI) demonstrated moderate correlation with the 3DE-derived SRV ejection fraction (EF) (Rho 0.64, p < 0.0001 and Rho 0.63, p < 0.0001, respectively). GCW showed the strongest correlation with the BNP level (Rho - 0.77, p < 0.0001), closely followed by GWI, 4-chamber longitudinal strain and 3DE EF (all Rho - 0.73, p < 0.0001). GCW and GWI were significantly lower in patients with moderate or severe tricuspid regurgitation compared with less than moderate regurgitation (1226 ± 439 vs 1509 ± 264 mmHg%, p = 0.02, and 984 ± 348 vs 1259 ± 278 mmHg%, p = 0.01, respectively). During a follow-up of 3.5 (2.8-3.9) years, seven patients (18%) died and one received transplantation (3%). They had significantly lower GCW and GWI compared with patients who did not reach the study endpoint (908 ± 255 vs 1433 ± %, p < 0.001 and 721 ± 210 vs 1173 ± 315 mmHg%, p < 0.001, respectively). In Cox regression analysis, GCW, GWI, 3DE SRV volumes and EF were the best-fit models based on the Akaike Information Criterion, outperforming longitudinal strain parameters. GWI and GCW, novel echocardiographic parameters of myocardial work, provided reliable quantification of the SRV systolic function. GWI, GCW and 3DE-derived SRV parameters were closely associated with all-cause mortality and heart transplantation in patients with the SRV.
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Affiliation(s)
- Elena Surkova
- Royal Brompton and Harefield Hospitals, Part of Guy's and St Thomas' NHS Foundation Trust, Sydney Street, Chelsea, London, SW3 6NP, UK.
| | - Bálint Károly Lakatos
- Heart and Vascular Center, Semmelweis University, 68, Varosmajor Str., Budapest, 1122, Hungary
| | - Alexandra Fábián
- Heart and Vascular Center, Semmelweis University, 68, Varosmajor Str., Budapest, 1122, Hungary
| | - Attila Kovács
- Heart and Vascular Center, Semmelweis University, 68, Varosmajor Str., Budapest, 1122, Hungary
| | - Roxy Senior
- Royal Brompton and Harefield Hospitals, Part of Guy's and St Thomas' NHS Foundation Trust, Sydney Street, Chelsea, London, SW3 6NP, UK
- National Heart Lung Institute, Imperial College London, Guy Scadding Building, Dovehouse St, Chelsea, London, SW3 6LY, UK
| | - Wei Li
- Royal Brompton and Harefield Hospitals, Part of Guy's and St Thomas' NHS Foundation Trust, Sydney Street, Chelsea, London, SW3 6NP, UK
- National Heart Lung Institute, Imperial College London, Guy Scadding Building, Dovehouse St, Chelsea, London, SW3 6LY, UK
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Avesani M, Sabatino J, Borrelli N, Cattapan I, Leo I, Pelaia G, Moscatelli S, Bianco F, Bassareo P, Martino F, Leonardi B, Oreto L, Guccione P, Di Salvo G. The mechanics of congenital heart disease: from a morphological trait to the functional echocardiographic evaluation. Front Cardiovasc Med 2024; 11:1301116. [PMID: 38650919 PMCID: PMC11033364 DOI: 10.3389/fcvm.2024.1301116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 03/28/2024] [Indexed: 04/25/2024] Open
Abstract
Advances in pediatric cardiac surgery have resulted in a recent growing epidemic of children and young adults with congenital heart diseases (CHDs). In these patients, congenital defects themselves, surgical operations and remaining lesions may alter cardiac anatomy and impact the mechanical performance of both ventricles. Cardiac function significantly influences outcomes in CHDs, necessitating regular patient follow-up to detect clinical changes and relevant risk factors. Echocardiography remains the primary imaging method for CHDs, but clinicians must understand patients' unique anatomies as different CHDs exhibit distinct anatomical characteristics affecting cardiac mechanics. Additionally, the use of myocardial deformation imaging and 3D echocardiography has gained popularity for enhanced assessment of cardiac function and anatomy. This paper discusses the role of echocardiography in evaluating cardiac mechanics in most significant CHDs, particularly its ability to accommodate and interpret the inherent anatomical substrate in these conditions.
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Affiliation(s)
- Martina Avesani
- Division of Paediatric Cardiology, Department of Women’s and Children’s Health, University Hospital of Padua, Padua, Italy
| | - Jolanda Sabatino
- Paediatric Cardiology and Congenital Heart Disease Unit, Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - Nunzia Borrelli
- Adult Congenital Heart Disease Unit, A.O. dei Colli, Monaldi Hospital, Naples, Italy
| | - Irene Cattapan
- Division of Paediatric Cardiology, Department of Women’s and Children’s Health, University Hospital of Padua, Padua, Italy
| | - Isabella Leo
- Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - Giulia Pelaia
- Paediatric Unit, Department of Science of Health, Magna Graecia University, Catanzaro, Italy
| | - Sara Moscatelli
- Centre for Inherited Cardiovascular Diseases, Great Ormond Street Hospital, London, United Kingdom
- Institute of Cardiovascular Sciences, University College London, London, United Kingdom
| | - Francesco Bianco
- Department of Pediatrics and Congenital Cardiac Surgery and Cardiology, Ospedali Riuniti, Ancona, Italy
| | - PierPaolo Bassareo
- Department of Cardiology, Mater Misericordiae University Hospital and Our Lady’s Children’s Hospital, University College of Dublin, Crumlin, Ireland
| | - Francesco Martino
- Department of Internal Clinical, Anesthesiological and Cardiovascular Sciences, La Sapienza University, Rome, Italy
| | - Benedetta Leonardi
- Department of Pediatric Cardiology, Cardiac Surgery and Heart Lung Transplantation, Bambino Gesu Children’s Hospital and Research Institute, IRCCS, Rome, Italy
| | - Lilia Oreto
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
- Mediterranean Pediatric Cardiology Center, Bambino Gesù Children’s Hospital, Taormina, Italy
| | - Paolo Guccione
- Department of Pediatric Cardiology, Cardiac Surgery and Heart Lung Transplantation, Bambino Gesu Children’s Hospital and Research Institute, IRCCS, Rome, Italy
| | - Giovanni Di Salvo
- Division of Paediatric Cardiology, Department of Women’s and Children’s Health, University Hospital of Padua, Padua, Italy
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Corbett L, O'Driscoll P, Paton M, Oxborough D, Surkova E. Role and application of three-dimensional transthoracic echocardiography in the assessment of left and right ventricular volumes and ejection fraction: a UK nationwide survey. Echo Res Pract 2024; 11:8. [PMID: 38566154 PMCID: PMC10988951 DOI: 10.1186/s44156-024-00044-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 03/06/2024] [Indexed: 04/04/2024] Open
Abstract
Three-dimensional echocardiography (3DE) imaging has permitted advancements in the quantification of left ventricular (LV) and right ventricular (RV) volumes and ejection fraction. We evaluated the availability of 3DE equipment / analysis software, the integration of 3DE assessment of the LV and RV in routine clinical practice, current training provisions in 3DE, and aimed to ascertain barriers preventing the routine use of 3DE for volumetric analysis. Through the British Society of Echocardiography (BSE) regional representatives' network, echocardiographers were invited to participate in an open online survey. A total of 181 participants from echocardiography departments in the United Kingdom (UK), the majority from tertiary centres (61%), completed the 28-question survey. For 3DE quantification, 3DE-LV was adopted more frequently than 3DE-RV (48% vs 11%, respectively). Imaging feasibility was a recognised factor in 3DE RV and LV adoption. Many respondents had access to 3D probes (93%). The largest observed barriers to 3DE routine use were training deficiencies, with 83% reporting they would benefit from additional training opportunities and the duration of time permitted for the scan, with 68% of responders reporting allowances of less than the BSE standard of 45-60 min per patient (8% < 30-min). Furthermore, of those respondents who had undertaken professional accreditation, competence in 3DE was not formally assessed in 89%. This UK survey also reported good accessibility to magnetic resonance imaging (72%), which was related to overall 3DE adoption. In summary, although 3DE is now readily available, it remains underutilised. Further training opportunities, integrated formal assessment, improved adoption of BSE minimum recommended scanning times, alongside industry and societal support, may increase 3DE utilisation in routine practice.
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Affiliation(s)
- Liam Corbett
- Liverpool Heart and Chest Hospital NHS Foundation Trust, Liverpool, UK.
| | | | | | - David Oxborough
- Research Institute of Sports and Exercise Science and Liverpool Centre for Cardiovascular Science, Liverpool, UK
| | - Elena Surkova
- Royal Brompton and Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
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Singh Y. Echocardiography in the neonatal unit: current status and future prospects. Expert Rev Med Devices 2024; 21:307-316. [PMID: 38526192 DOI: 10.1080/17434440.2024.2334449] [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: 01/04/2024] [Accepted: 03/20/2024] [Indexed: 03/26/2024]
Abstract
INTRODUCTION Traditionally echocardiography was used by pediatric cardiologists to diagnose congenital heart defects in neonates. Formalized neonatal hemodynamic fellowships have been established where neonatologists acquire advanced echocardiographic skills to gain anatomical, physiological, and hemodynamic information in real time and utilize this information in making a timely and accurate physiology-based clinical decision. AREA COVERED Differences between a comprehensive formal structural echocardiography, neonatologist performed targeted echocardiography and limited assessment on point-of-care-ultrasonography for specific indications have been covered. This article is focused at providing a comprehensive review of the status of echocardiography in the neonatal units, recent advancements and its future prospects in the neonatal intensive care units. EXPERT OPINION Comprehensive guidelines providing the scope of practice, a framework for training, and robust clinical governance process for the neonatologist performed targeted echocardiography have been established. In the last decade, echocardiography has emerged as essential vital bedside diagnostic tool in providing high-quality care to the sick infants in the neonatal units, and it has proved to improve the outcomes in neonates. It is now being considered as a modern hemodynamic monitoring tool. Advances in technology, machine learning, and application of artificial intelligence in applications of echocardiography seem promising adjunct tools for rapid assessment in emergency situations.
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Affiliation(s)
- Yogen Singh
- Division of Neonatology, Loma Linda University School of Medicine, Loma Linda, CA, USA
- Division of Neonatology, University of Southern California, Los Angeles, USA
- Department of Pediatrics, University of Cambridge Clinical School of Medicine, Cambridge, UK
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Chimoriya R, Chimoriya R, Shrestha M, Shrestha S, Shah K, Lama L, Rana K. Congenital Heart Disease among Children Undergoing Echocardiography in the Department of Paediatrics of Tertiary Care Centre: A Descriptive Cross-sectional Study. JNMA J Nepal Med Assoc 2024; 62:257-260. [PMID: 39356839 PMCID: PMC11025490 DOI: 10.31729/jnma.8557] [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: 03/31/2024] [Indexed: 10/04/2024] Open
Abstract
INTRODUCTION Congenital heart disease in children are a major cause of infant mortality and morbidity. It is important to detect and manage these disorders timely as they are preventable. The objective of this study was to find out proportion of congenital heart disease in children in paediatric department in a tertiary hospital. METHODS This is a descriptive cross-sectional study carried out in the Department of Paediatric at Nepal Medical College and Teaching Hospital where all children (0-18 years) suspected to have congenital heart disease who underwent echocardiography were studied over a period of 1 year (2020-2021). The presence or absence of congenital heart disease were confirmed by echocardiography performed by paediatric cardiologist. The socioeconomic variables,clinical features and echocardiography findings were noted. RESULTS Out of total 249 patients,the proportion of patients diagnosed to have cardiac disorders was 73 with male predominance of 165 (66.26%). The most common age group was found to be neonates 111 (44%).The notable clinical features were murmur 47 (18.87%), tachypnoea 27 (10.84%) ,tachycardia 27 (10.84%) and cyanosis 9 (3.61%), clubbing 2 (0.80%), oedema 1 (0.40%), hypertension 9 (3.65%), murmur 47 (18.87%).Out of the total, there were 49 (19.67%) cases of acyanotic congenital heart disease, and 27 (10.84%) cases of cyanotic congenital heart disease. CONCLUSIONS Our study focuses on early recognition of cardiac diseases which is crucial for preventing morbidity and mortality.
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Affiliation(s)
- Romila Chimoriya
- Department of Pediatrics, Nepal Medical College Teaching Hospital, Jorpati, Kathmandu, Nepal
| | - Ritesh Chimoriya
- School of Medicine, Western Sydney University, Campbelltown, Australia
| | - Mandira Shrestha
- Department of Pediatrics, Nepal Medical College Teaching Hospital, Jorpati, Kathmandu, Nepal
| | - Sabina Shrestha
- Department of Pediatrics, Nepal Medical College Teaching Hospital, Jorpati, Kathmandu, Nepal
| | - Kailash Shah
- Department of Pediatrics, Nepal Medical College Teaching Hospital, Jorpati, Kathmandu, Nepal
| | - Lopsang Lama
- Department of Pediatrics, Nepal Medical College Teaching Hospital, Jorpati, Kathmandu, Nepal
| | - Kritika Rana
- Translational Health Research Institute, Western Sydney University, Campbelltown, Australia
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Gelaw TT, Yehuala AA, Mengste SZ, Yimer YA, Engida HB, Alem AT. Two-Dimensional and Doppler trans-thoracic echocardiographic patterns of suspected pediatric heart diseases at Tibebe--Ghion specialized Teaching Hospital and Adinas General Hospital, Bahir Dar, North-west Ethiopia:-An experience from an LMIC. PLoS One 2024; 19:e0292694. [PMID: 38466681 PMCID: PMC10927071 DOI: 10.1371/journal.pone.0292694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/21/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND Transthoracic Echocardiography is the first-line, non-invasive, and accessible imaging modality to evaluate heart disease anatomy, physiology, and hemodynamics. We aim to describe the trans-thoracic echocardiography pattern of pediatric heart diseases and reasons for referral in children referred to Bahir Dar University Tibebe-Ghion Hospital and Adinas General Hospital. METHOD A descriptive cross-sectional study of the archived Transthoracic, Two Dimensional, and Doppler Echocardiography assessments of children from birth to fifteen years of age performed between June 2019 to May 2023 was done. Data were collected retrospectively from February 01, 2023 -May 31, 2023. Categorical variables like gender, referral reasons for echocardiography, and patterns of pediatric heart lesions were analyzed in the form of proportions and presented in tables and figures. Discrete variables including age were summarized as means (SD) and medians(IQR). RESULTS Out of 3,647 Children enrolled; 1,917 (52.6%) were males and 1,730 (47.4%) were females. The median (IQR) age of children enrolled was 24 months (5 to 96). Cardiac murmur (33%) was the most common reason for echocardiography followed by, Respiratory Distress (18%), Syndromic Child (15%), easy fatigability/ Diaphoresis (14.3%), congestive heart failure (14%), and rheumatic fever (13.2%). Congenital heart defect (CHD) accounts for 70% of all heart diseases, followed by rheumatic heart disease (21%). Isolated ventricular septal defect(VSD) was the most common CHD (21%) followed by isolated Patent ductus arteriosus (15%), isolated atrial septal defect (10%), Isolated atrioventricular septal defect (6%) and isolated pulmonary stenosis (5%). Cyanotic CHD accounts for 11.5% of all heart diseases. Tetralogy of Fallot (30%), d-TGA (20%), and double outlet right ventricle (19%) were the most common cyanotic CHDs. CONCLUSIONS In our study, congenital heart lesions are the most common diagnosis and cardiac murmurs are the most common presenting reasons for echocardiography evaluation.
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Affiliation(s)
- Tesfaye Taye Gelaw
- Department of Pediatrics and Child Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Amare Aschalew Yehuala
- Department of Pediatrics and Child Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Senay Zerihun Mengste
- Department of Pediatrics and Child Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Yalemwork Anteneh Yimer
- Department of Pediatrics and Child Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Habtamu Bayih Engida
- Department of Internal Medicine, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Abiot Tefera Alem
- Department of Internal Medicine, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
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Bhatia RT, Forster J, Ackrill M, Chatrath N, Finocchiaro G, Fyyaz S, MacLachlan H, Malhotra A, Marwaha S, Papadakis M, Ring L, Sharma S, Oxborough D, Rakhit D. Coronary artery anomalies and the role of echocardiography in pre-participation screening of athletes: a practical guide. Echo Res Pract 2024; 11:5. [PMID: 38383464 PMCID: PMC10882860 DOI: 10.1186/s44156-024-00041-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 01/26/2024] [Indexed: 02/23/2024] Open
Abstract
Transthoracic echocardiography is an essential and widely available diagnostic tool for assessing individuals reporting cardiovascular symptoms, monitoring those with established cardiac conditions and for preparticipation screening of athletes. While its use is well-defined in hospital and clinic settings, echocardiography is increasingly being utilised in the community, including in the rapidly expanding sub-speciality of sports cardiology. There is, however, a knowledge and practical gap in the challenging area of the assessment of coronary artery anomalies, which is an important cause of sudden cardiac death, often in asymptomatic athletic individuals. To address this, we present a step-by-step guide to facilitate the recognition and assessment of anomalous coronary arteries using transthoracic echocardiography at the bedside; whilst recognising the importance of performing dedicated cross-sectional imaging, specifically coronary computed tomography (CTCA) where clinically indicated on a case-by-case basis. This guide is intended to be useful for echocardiographers and physicians in their routine clinical practice whilst recognising that echocardiography remains a highly skill-dependent technique that relies on expertise at the bedside.
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Affiliation(s)
- Raghav T Bhatia
- Hull University Teaching Hospitals NHS Trust, Kingston-Upon-Hull, UK
- Cardiovascular Clinical Academic Group and Cardiology Research Centre, St. George's, University of London, St. George's University Hospitals NHS Foundation Trust, London, UK
| | - Jan Forster
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | | | - Nikhil Chatrath
- Cardiovascular Clinical Academic Group and Cardiology Research Centre, St. George's, University of London, St. George's University Hospitals NHS Foundation Trust, London, UK
| | - Gherardo Finocchiaro
- Cardiovascular Clinical Academic Group and Cardiology Research Centre, St. George's, University of London, St. George's University Hospitals NHS Foundation Trust, London, UK
| | - Saad Fyyaz
- Cardiovascular Clinical Academic Group and Cardiology Research Centre, St. George's, University of London, St. George's University Hospitals NHS Foundation Trust, London, UK
| | - Hamish MacLachlan
- Cardiovascular Clinical Academic Group and Cardiology Research Centre, St. George's, University of London, St. George's University Hospitals NHS Foundation Trust, London, UK
| | - Aneil Malhotra
- Institute of Sport, Manchester Metropolitan University and University of Manchester, Manchester, UK
| | - Sarandeep Marwaha
- Cardiovascular Clinical Academic Group and Cardiology Research Centre, St. George's, University of London, St. George's University Hospitals NHS Foundation Trust, London, UK
| | - Michael Papadakis
- Cardiovascular Clinical Academic Group and Cardiology Research Centre, St. George's, University of London, St. George's University Hospitals NHS Foundation Trust, London, UK
| | - Liam Ring
- West Suffolk Hospital NHS Trust, Bury Saint Edmunds, UK
| | - Sanjay Sharma
- Cardiovascular Clinical Academic Group and Cardiology Research Centre, St. George's, University of London, St. George's University Hospitals NHS Foundation Trust, London, UK
| | - David Oxborough
- Research Institute for Sports and Exercise Science, Liverpool John Moores University, Liverpool, UK
| | - Dhrubo Rakhit
- University Hospital Southampton NHS Foundation Trust, Southampton, UK.
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11
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Dorobantu DM, Amir NH, Wadey CA, Sharma C, Stuart AG, Williams CA, Pieles GE. The Role of Speckle-Tracking Echocardiography in Predicting Mortality and Morbidity in Patients With Congenital Heart Disease: A Systematic Review and Meta-analysis. J Am Soc Echocardiogr 2024; 37:216-225. [PMID: 37972793 DOI: 10.1016/j.echo.2023.11.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 11/01/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Speckle-tracking echocardiography (STE) is now routinely included in cardiac evaluations, but its role in predicting mortality and morbidity in congenital heart disease (CHD) is not well described. We conducted a systematic review to evaluate the prognostic value of STE in patients with CHD. METHODS The EMBASE, Medline, Web of Science, Scopus, and Cochrane Central Register of Controlled Trials (CENTRAL) databases were searched from inception to January 2023 for terms related to all CHD, STE, and prognosis. Meta-analysis of association of right ventricle and left ventricle strain (RV Sl and LV Sl, respectively) with major adverse cardiovascular events (MACEs) was performed in atrial switch transposition of the great arteries (asTGA)/congenitally corrected TGA (ccTGA), tetralogy of Fallot (ToF), and congenital aortic stenosis (cAS)/bicuspid aortic valve (BAV). P-value combination analysis was additionally performed for all CHD groups. RESULTS A total of 33 studies (30 cohorts, n = 8,619 patients, children, and adults) were included. Meta-analysis showed the following parameters as being associated with MACE: RV Sl in asTGA/ccTGA (hazard ratio [HR] = 1.1/%; CI, [1.03; 1.18]), RV Sl and LV Sl in ToF (HR = 1.14/%; CI, [1.03; 1.26] and HR = 1.14/%; CI, [1.08; 1.2], respectively), and LV Sl in cAS/BAV (HR = 1.19/%; CI, [1.15; 1.23]). The RV Sl and strain rate were associated with outcomes also in single ventricle/hypoplastic left heart syndrome (at all palliation stages except before Norwood stage 1) and LV Sl in Ebstein's anomaly. CONCLUSIONS This systematic review and meta-analysis showed that biventricular strain and strain rate were associated with outcomes in a variety of CHD, highlighting the need for updated recommendations on the use of STE in the current guidelines, specific to disease types.
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Affiliation(s)
- Dan M Dorobantu
- Children's Health and Exercise Research Centre, University of Exeter, Exeter, United Kingdom; Department of Population and Translational Health Science, University of Bristol, Bristol, United Kingdom
| | - Nurul H Amir
- Department of Population and Translational Health Science, University of Bristol, Bristol, United Kingdom; Faculty of Sport Science and Recreation, Universiti Teknologi Majlis Amanah Rakyat, Arau, Malaysia
| | - Curtis A Wadey
- Children's Health and Exercise Research Centre, University of Exeter, Exeter, United Kingdom
| | - Chetanya Sharma
- Congenital Heart Unit, Bristol Heart Institute and Royal Hospital for Children, Bristol, United Kingdom
| | - A Graham Stuart
- Department of Population and Translational Health Science, University of Bristol, Bristol, United Kingdom; Congenital Heart Unit, Bristol Heart Institute and Royal Hospital for Children, Bristol, United Kingdom
| | - Craig A Williams
- Children's Health and Exercise Research Centre, University of Exeter, Exeter, United Kingdom.
| | - Guido E Pieles
- Congenital Heart Unit, Bristol Heart Institute and Royal Hospital for Children, Bristol, United Kingdom; Institute of Sport, Exercise and Health, University College London, London, United Kingdom; Athlete Health and Performance Research Centre and the Sports Medicine Department, Aspetar Qatar Orthopaedic and Sports Medicine Hospital, Doha, Qatar
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12
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Chen J, Huang S, Zhang Y, Chang Q, Zhang Y, Li D, Qiu J, Hu L, Peng X, Du Y, Gao Y, Chen DZ, Bellou A, Wu J, Liang H. Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts. Nat Commun 2024; 15:976. [PMID: 38302502 PMCID: PMC10834950 DOI: 10.1038/s41467-024-44930-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 01/10/2024] [Indexed: 02/03/2024] Open
Abstract
Early detection is critical to achieving improved treatment outcomes for child patients with congenital heart diseases (CHDs). Therefore, developing effective CHD detection techniques using low-cost and non-invasive pediatric electrocardiogram are highly desirable. We propose a deep learning approach for CHD detection, CHDdECG, which automatically extracts features from pediatric electrocardiogram and wavelet transformation characteristics, and integrates them with key human-concept features. Developed on 65,869 cases, CHDdECG achieved ROC-AUC of 0.915 and specificity of 0.881 on a real-world test set covering 12,000 cases. Additionally, on two external test sets with 7137 and 8121 cases, the overall ROC-AUC were 0.917 and 0.907 while specificities were 0.937 and 0.907. Notably, CHDdECG surpassed cardiologists in CHD detection performance comparison, and feature importance scores suggested greater influence of automatically extracted electrocardiogram features on CHD detection compared with human-concept features, implying that CHDdECG may grasp some knowledge beyond human cognition. Our study directly impacts CHD detection with pediatric electrocardiogram and demonstrates the potential of pediatric electrocardiogram for broader benefits.
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Affiliation(s)
- Jintai Chen
- State Key Laboratory of Transvascular Implantation Devices of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, 310009, Hangzhou, China
| | - Shuai Huang
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 510080, Guangzhou, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), 510080, Guangzhou, Guangdong Province, China
| | - Ying Zhang
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 510080, Guangzhou, Guangdong Province, China
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, Guangdong Province, China
| | - Qing Chang
- Liaoning Engineering Research Center of Intelligent Diagnosis and Treatment Ecosystem, 110004, Shenyang, Liaoning Province, China
- Clinical Research Center of Shengjing Hospital of China Medical University, 110004, Shenyang, Liaoning Province, China
| | - Yixiao Zhang
- Liaoning Engineering Research Center of Intelligent Diagnosis and Treatment Ecosystem, 110004, Shenyang, Liaoning Province, China
- Department of Urology Surgery, Shengjing Hospital of China Medical University, 110004, Shenyang, Liaoning Province, China
| | - Dantong Li
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 510080, Guangzhou, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), 510080, Guangzhou, Guangdong Province, China
| | - Jia Qiu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 510080, Guangzhou, Guangdong Province, China
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, Guangdong Province, China
| | - Lianting Hu
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 510080, Guangzhou, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), 510080, Guangzhou, Guangdong Province, China
| | - Xiaoting Peng
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, Guangdong Province, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 510080, Guangzhou, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), 510080, Guangzhou, Guangdong Province, China
| | - Yunmei Du
- College of Information Technology and Engineering, Guangzhou College of Commerce, 510363, Guangzhou, Guangdong Province, China
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510623, Guangzhou, Guangdong Province, China
| | - Yunfei Gao
- Zhuhai Precision Medical Center, Zhuhai People's Hospital/ Zhuhai Hospital Affiliated with Jinan University, Jinan University, 519000, Zhuhai, Guangdong Province, China
- The Biomedical Translational Research Institute, Jinan University Faculty of Medical Science, Jinan University, 510632, Guangzhou, Guangdong Province, China
| | - Danny Z Chen
- Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Abdelouahab Bellou
- Institute of Sciences in Emergency Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 510080, Guangzhou, China.
- Department of Emergency Medicine, Wayne State University School of Medicine, Detroit, MI, 48201, USA.
| | - Jian Wu
- State Key Laboratory of Transvascular Implantation Devices of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, 310009, Hangzhou, China.
- School of Public Health, Zhejiang University, 310058, Hangzhou, China.
| | - Huiying Liang
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, Guangzhou, Guangdong Province, China.
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 510080, Guangzhou, Guangdong Province, China.
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), 510080, Guangzhou, Guangdong Province, China.
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