Neuralert Stroke Monitor Trial
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: Neuralert Monitor.
- Кому может быть актуально
- Состояния в реестре: Surgery, Stroke. Базовые параметры: от 22 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
- США
- Следующий шаг
- Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
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Обзор
The Neuralert monitoring system, a non-invasive device worn on each wrist, is designed to provide continuous monitoring and expedited recognition of stroke by identifying asymmetry in the extremities, facilitating patient treatment and improving outcomes. This study is designed to evaluate the safety and effectiveness of the Neuralert Monitor. This study aims to show that the device produces fewer than 2 false alarms per patient per day on average, and that the device detects stroke with a sensitivity significantly greater than a device producing 2 random alerts per day.
Вмешательства
- Устройство Neuralert Monitor
The Neuralert monitoring system, a non-invasive device worn on each wrist, is designed to provide continuous monitoring for asymmetry in the extremities, sending an alert to healthcare workers upon identification, thus expediting recognition of stroke.
Первичные конечные точки
- Efficacy of Device [Срок оценки: through study completion, an average of 2 years]
- Safety of Device [Срок оценки: through study completion, an average of 2 years]
Вторичные конечные точки (3)
- Length of time to detection of any stroke [Срок оценки: through study completion, an average of 2 years]
- Length of time to detection of stroke by Neuralert [Срок оценки: through study completion, an average of 2 years]
- Number of alerts caused by stroke (PPV) [Срок оценки: through study completion, an average of 2 years]
Критерии участия
Inclusion Criteria: (all must be yes)
- Male or female age ≥ 22 years
- Admitted or planned admission to one of the participating hospitals and followed by the Cardiothoracic (CT) Surgery or Vascular Surgery services
- Considered at high risk for stroke while in the hospital based on:
- Interventions or procedures that are high-risk for stroke performed during the hospitalization, which may include:
- Intracardiac surgical or endovascular procedures, including valve replacement
- Ascending aorta or aortic arch surgical or endovascular repair
- Open surgical or endovascular carotid revascularization
- Other cardiac procedures along with a high-risk medical history:
- Age ≥ 80 years
- Prior stroke/ transient ischemic attack (TIA)
- Hypercoagulable state (i.e., prior clotting events attributed to active malignancy or a diagnosed thrombophilia) requiring lifelong anticoagulation
- Severely reduced left ventricular cardiac ejection fraction (i.e., <30%) or anterior left ventricular wall akinesis
- Atrial fibrillation
Exclusion Criteria: (all must be no)
- Any medical or psychological conditions that, in the opinion of the investigator, would compromise the subject's safety or successful participation in the study
- Baseline preoperative asymmetric upper extremity weakness as assessed by the Investigator, defined as a differential in the NIHSS upper extremity motor score between the two arms of >0
- Above the wrist amputation
- Unwilling to provide informed consent or no legally authorized representative willing to provide consent if the patient is unable
- Currently imprisoned
Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.
Здоровые добровольцы: Нет
Дизайн исследования
- Распределение
- Не применимо
- Модель
- Одна группа
- Маскирование
- Открытое
- Основная цель
- Другое
Центры проведения
США · 1 центр
- Hospital of the University of Pennsylvania — Philadelphia
Публикации
- Messe SR, Kasner SE, Cucchiara BL, McGarvey ML, Cummings S, Acker MA, Desai N, Atluri P, Wang GJ, Jackson BM, Weimer J. Derivation and Validation of an Algorithm to Detect Stroke Using Arm Accelerometry Data. J Am Heart Assoc. 2023 Feb 7;12(3):e028819. doi: 10.1161/JAHA.122.028819. Epub 2023 Jan 31. PMID 36718858
Идентификаторы
NCT: NCT07362303 · 859883