3D ECG for Detection of Cardiomyopathy
3D ECG for Detection of Cardiomyopathy in Heart Failure
スポンサー |
リードスポンサー: University Hospital, Essen |
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ソース | University Hospital, Essen |
簡単な要約 | 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. |
全体的なステータス | Recruiting | ||||
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開始日 | 2021-03-14 | ||||
完成日 | 2021-10-14 | ||||
一次完成日 | 2021-09-14 | ||||
研究の種類 | Observational | ||||
主な結果 |
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入学 | 175 |
状態 | |
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介入 |
介入タイプ: Diagnostic Test 介入名: 3D-ECG 説明文: Patient recieves 3D-ECG Assessement アームグループラベル: Patient recieving 3D-ECG-Evaluation |
適格性 |
サンプリング方法: Probability Sample
基準:
Inclusion Criteria: - Age >18 Years - Established diagnosis heart failure and suggested cardiomyopathy Exclusion Criteria: - Patients unable to sign informed consent - Pacemaker-stimulated ECG 性別: All 最低年齢: 18 Years 最大年齢: N/A 健康なボランティア: No |
全体的な公式 |
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全体的な連絡先 |
苗字: Reza Wakili, Prof. 電話: 00492017234802 Eメール: reza.wakili@uk-essen.de |
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ロケーション |
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ロケーション国 |
Germany |
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確認日 |
2021-04-01 |
責任者 |
タイプ: Sponsor |
アクセスを拡大しました | No |
条件閲覧 | |
アームグループ |
ラベル: Patient recieving 3D-ECG-Evaluation |
患者データ | No |
研究デザイン情報 |
観測モデル: Cohort 時間的展望: Prospective |
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