Speckle Tracking Echocardiography for the Prediction of Weaning Failure
Ориентир для пациента и семьи
Простыми словами
Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.
- Что изучают
- В протоколе указаны: echocardiography.
- Кому может быть актуально
- Состояния в реестре: Weaning Failure of Mechanical Ventilation. Базовые параметры: от 18 лет · Все.
- Что важно проверить
- Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
- Где проводится
- Франция
- Следующий шаг
- Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
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Официальное название
Combined Thoracic Ultrasound Using Speckle Tracking for the Prediction of Weaning Failure : a Prospective Multicenter Study
Обзор
Deciding the optimal timing for extubation in patients who are mechanically ventilated can be challenging, and traditional weaning predictor tools are not accurate. Recent studies suggest that isolated sonographic assessment of the respiratory and cardiac function (ie diastolic function and filling pressure), in mechanically ventilated patients may assist in identifying patients at risk of weaning failure. Recently, the association of conventional echocardiography and lung ultrasound showed promising results for the prediction of post extubation distress. Speckle Tracking is an emerging tool in intensive care medicine that has never been investiguated for the prediction of weaning failure. It could early detects diastolic dysfunction and and elevated filling pressure. Of more, speckle tracking is known to be less operator dependant. The main objective of our study is to evaluate the diagnosis accuracy of speckle tracking echocardiography performed during a weaning trial to predict weaning failure. The secondary objectives are to assess the diagnosis accuracy of combined heart and lung ultrasound to predict weaning failure.
Подробное описание
Deciding the optimal timing for extubation in patients who are mechanically ventilated can be challenging, and traditional weaning predictor tools are not accurate. Recent studies suggest that isolated sonographic assessment of the respiratory and cardiac function (ie diastolic function and filling pressure), in mechanically ventilated patients may assist in identifying patients at risk of weaning failure. Recently, the association of conventional echocardiography and lung ultrasound showed promising results for the prediction of post extubation distress. Speckle Tracking is an emerging tool in intensive care medicine that has never been investiguated for the prediction of weaning failure. It could early detects diastolic dysfunction and and elevated filling pressure. Of more, speckle tracking is known to be less operator dependant. The main objective of our study is to evaluate the diagnosis accuracy of speckle tracking echocardiography performed during a weaning trial to predict weaning failure. The secondary objectives are to assess the diagnosis accuracy of combined heart and lung ultrasound to predict weaning failure.
Вмешательства
- Другое echocardiography
Speckle tracking echocardiography
Первичные конечные точки
- lung and heart ultrasounds [Срок оценки: Just before and during the weaning trial]
Критерии участия
Критерии включения
\- Patients hospitalized in intensive care unit under mechanical fulfilling the criteria of ventilation weaning trial.
Критерии исключения
- Less than 18 years old.
- Pregnancy
- Non sinusal cardiac rhythm
- Neuro Myopathy
- Tracheotomy
- Lack of echogenicity to perform at least a four chamber apical view
Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.
Здоровые добровольцы: Да
Дизайн исследования
- Распределение
- Нерандомизированное
- Модель
- Параллельные группы
- Маскирование
- Открытое
- Основная цель
- Другое
Центры проведения
Франция · 1 центр
- Assistance Publique Hôpitaux de Marseille — Marseille
Идентификаторы
NCT: NCT03657524 · 2018-34