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3D ECG for Detection of Cardiomyopathy
3D ECG for Detection of Cardiomyopathy in Heart Failure
Patrocinadores |
Patrocinador Principal: University Hospital, Essen |
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Fonte | University Hospital, Essen |
Sumário breve | There is existing data in the literature that suggests an additional predictive value of three dimensional ECG with respect to the presence of electrical abnormalities and for an existing cardiac disease. Especially regarding patients who suffered from a myocardial infarction in the past (post MI patients), evidence has been provided for a potential association of 3D repolarisation abnormalities and incidence of sudden cardiac death (SCD). In addition, there is some vague evidence of so called 3D ECG and prediction of coronary artery disease. This 3D ECG device is using the technology of 3D ECG vector loops and is assessing the variability of these ECG vector loops in the 3-dimensional space. Based on these data, the parameters of 3D ECG are suggested to carry certain value to predict or to identify individuals already suffering from a cardiac disease or being at risk experiencing a cardiac event in the future. In this context we performed a preliminary study with 3D-ECG device in healthy volunteers evaluating the robustness of this method with respect to reproducibility, intra- and intra-observer variability which could be confirmed. We thus postulate that the 3D ECG technology might bear the potential to serve as a sufficient screening method for diagnosing cardiomyopathy in patients with an unknown heart failure etiology. |
Estado geral | Recruiting | ||||
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Data de início | 2021-03-14 | ||||
Data de conclusão | 2021-10-14 | ||||
Data de Conclusão Primária | 2021-09-14 | ||||
tipo de estudo | Observational | ||||
Resultado primário |
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Inscrição | 175 |
Doença | |
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Intervenção |
Tipo de intervenção: Diagnostic Test Nome da Intervenção: 3D-ECG Descrição: Patient recieves 3D-ECG Assessement Etiqueta do Grupo de Armas: Patient recieving 3D-ECG-Evaluation |
Elegibilidade |
Método de amostragem: Probability Sample
Critério:
Inclusion Criteria: - Age >18 Years - Established diagnosis heart failure and suggested cardiomyopathy Exclusion Criteria: - Patients unable to sign informed consent - Pacemaker-stimulated ECG Gênero: All Idade minima: 18 Years Idade Máxima: N/A Voluntários Saudáveis: No |
Oficial Geral |
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Contato Geral |
Último nome: Reza Wakili, Prof. telefone: 00492017234802 O email: reza.wakili@uk-essen.de |
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Localização |
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Países de localização |
Germany |
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Data de Verificação |
2021-04-01 |
Parte Responsável |
Tipo: Sponsor |
Tem Acesso Expandido | No |
Navegar condição | |
Grupo de Armas |
Rótulo: Patient recieving 3D-ECG-Evaluation |
Dados do Paciente | No |
Informações de design de estudo |
Modelo Observacional: Cohort Perspectiva de Tempo: Prospective |
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