MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1038/s41598-017-15573-5

Медицинская библиотека · Scientific reports · 2017

Predicting the Origin of Ventricular Arrhythmia Using Acoustic Cardiography.

Lin Chin-Yu, Chang Shih-Lin, Lin Yenn-Jiang, Lo Li-Wei, Hu Yu-Feng, Chao Tze-Fan, Chung Fa-Po, Tuan Ta-Chuan, Liao Jo-Nan, Chang Yao-Ting, Te Abigail Louise D, Yamada Shinya, Cheng Hao-Min, Sung Shih-Hsien, Kuo Ling, Li Hsing-Yuan, Chang Ting-Yung, Minh Hoang Quang, Salim Simon, Huang Ting-Chung, Chen Shih-Ann

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

This study aimed to examine the relationship between measurements related to heart sounds and the origin of ventricular arrhythmia. We retrospectively evaluated 45 patients undergoing catheter ablation with contemporaneous digital acoustic cardiography of the first heart sound (S1) and the second heart sound (S2). The patients with baseline wide QRS morphology (>120 ms or aberrant conduction), heart failure, valvular heart disease, chronic pulmonary disease, and obesity were excluded. Ventricular arrhythmias from the left ventricle had an increased S1 complexity score and S1 duration in comparison to adjacent sinus beats. On the other hand, ventricular arrhythmia from right ventricle had decreased S1 complexity score and S1 duration in comparison to adjacent sinus beats. The difference of S1 (ΔS1) parameters between premature ventricular complex and sinus beat was significantly smaller in right ventricular arrhythmia group compared with and left ventricular arrhythmia group. For predicting the origin of ventricular arrhythmia, the ΔS1 duration provide better predictive accuracy (sensitivity: 100%, specificity: 100%, cutoff value: -1.28 ms) in comparison to ΔS1 complexity score (sensitivity 71.4%, specificity 75.0%, cutoff value: -0.13). The change of S1 complexity and duration determined from acoustic cardiography could accurately predict the ventricular arrhythmia origin.

Для цитирования: Lin Chin-Yu, Chang Shih-Lin, Lin Yenn-Jiang, Lo Li-Wei, Hu Yu-Feng, Chao Tze-Fan, Chung Fa-Po, Tuan Ta-Chuan, Liao Jo-Nan, Chang Yao-Ting, Te Abigail Louise D, Yamada Shinya, Cheng Hao-Min, Sung Shih-Hsien, Kuo Ling, Li Hsing-Yuan, Chang Ting-Yung, Minh Hoang Quang, Salim Simon, Huang Ting-Chung, Chen Shih-Ann. Predicting the Origin of Ventricular Arrhythmia Using Acoustic Cardiography.. Scientific reports. 2017. DOI: 10.1038/s41598-017-15573-5.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.