Набор скоро начнётся NCT06734650

Deep Learning Model for Predicting a Peripheral Venous Waveform-based Pulse Pressure Variation

— Наблюдательное Peripheral Vein Arterial Wave Reflections Pulse Pressure Variation Stroke Volume Variation

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: peripheral waveform collection.
Кому может быть актуально: Состояния в реестре: Peripheral Vein, Arterial Wave Reflections, Pulse Pressure Variation, Stroke Volume Variation. Базовые параметры: 19 лет — 80 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: South Korea
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

Development and Validation of a Peripheral Venous Waveform-based Pulse Pressure Variation Calculating Deep Learning Model

Обзор

Pulse pressure variation is a monitoring index that indicates the response to fluid therapy in patients receiving mechanical ventilation, and is used as a reference for patients with unstable hemodynamic conditions. However, it is invasive because it requires arterial puncture to collect it. In a previous study by the investigators, the investigators developed and verified an artificial intelligence model that predicts stroke volume variation, in real time using only the central venous pressure waveform. However, since a large vein such as the jugular vein must be punctured to collect the central venous pressure waveform, it is still invasive, and its clinical utility is low. Therefore, in this study, the investigators collected waveforms from peripheral veins that are less invasive and can be a wide range of applications because all surgical patients have them. The investigators aimed to develop and verify an artificial intelligence model that predicts pulse pressure variation obtained from peripheral venous waveforms .

Подробное описание

In this study, the investigators collected waveforms from peripheral veins that are less invasive and can be a wide range of applications because all surgical patients have them. The investigators aimed to develop and verify an artificial intelligence model that predicts pulse pressure variation obtained from peripheral venous waveforms .

Вмешательства

Другое peripheral waveform collection
The peripheral venous pressure waveform is collected by connecting a pressure transducer that is currently in use to the placed central venous line. In addition, the pulse pressure variation or stroke volume variation value that can be obtained from the arterial catheter. This extracts the medical records and bio-signal information of the subjects registered through the previously approved 'Establishment of a Bio-signal and Clinical Information Registry for the Development of Patient Monitoring

Первичные конечные точки

Pulse pressure variation [Срок оценки: intraoperative period]

Критерии участия

Критерии включения

Patients who voluntarily agreed and signed the written informed consent form before participating in this study
Adult aged 19 years or older
American Society of Anesthesiologists physical class (ASA) 1-3
Patients scheduled for elective hepatectomy under general anesthesia
Patients who require arterial pressure monitoring and additional peripheral venous access for routine anesthesia preparation
Non-smokers with normal pulmonary function