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Набор скоро начнётся NCT07631494

Precision ICU Care: Evaluating an AI-Driven Nursing Decision Support System for Delirium Prevention

Без фазы С лечением Delirium in the Intensive Care Unit Sleep Quality

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: MLP-based Clinical Decision Support System (MLP-CDSS), VR-based Cognitive Intervention, VR-assisted Early Mobility Exercise.
Кому может быть актуально
Состояния в реестре: Delirium in the Intensive Care Unit, Sleep Quality. 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
Тайвань
Следующий шаг
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Официальное название

Efficacy of an Intelligent Computational Nursing Decision Support System in Precision Critical Care for Delirium Prevention: A Randomized Controlled Trial

Обзор

Delirium affects up to 83% of mechanically ventilated patients in the Intensive Care Unit (ICU), often leading to longer hospital stays and long-term memory or cognitive problems. While standard care protocols (such as the ABCDEF bundle) exist, they are often difficult to implement fully due to their complexity and the heavy workload on nursing staff. To address these challenges, this study introduces a 'Precision Nursing' approach by integrating Artificial Intelligence (AI) and Virtual Reality (VR). We will implement an AI-driven system to assist nurses in making personalized care decisions more efficiently. Additionally, interactive VR technology will be used to stimulate patients' cognitive function and encourage early mobility. Our goal is to reduce the clinical burden on healthcare providers while significantly improving recovery outcomes for ICU patients.

Подробное описание

Delirium affects up to 83% of ventilated ICU patients, necessitating precise non-pharmacological interventions like the SCAN-D program, which aims to improve outcomes by integrating smart computing and virtual reality into nursing decisions. This three-year, assessor-blinded, parallel randomized controlled trial will enroll 188 patients, assigning them to either usual care or the SCAN-D group, where the latter receives personalized strategies based on machine learning risk weights, including family-supervised immersive VR exercise and cognitive training. Throughout their stay, patients will be monitored via shift-based assessments (ICDSC/RASS) and nightly sleep tracking using actigraphy combined with one-lead EEG, while long-term cognitive function and quality of life (EQ-5D-3L) will be evaluated at three and six months post-discharge. The primary outcomes are the incidence of delirium and delirium-free days within the first 28 days of ICU admission, measured using the ICU Delirium Screening Checklist. Secondary outcomes include sleep quality and quantity, functional status during the ICU stay, ICU length of stay, duration of mechanical ventilation, total hospital length of stay, ICU mortality rate, Sedative and Analgesic Loading, 90-day Mortality Post-discharge, cognitive function, and quality of life. Finally, the collected data will be analyzed using SPSS 22.0 through independent t-tests, Chi-square tests, and Generalized Estimating Equations (GEE) to determine the program's efficacy in reducing delirium incidence and enhancing overall patient recovery.

Вмешательства

  • Устройство MLP-based Clinical Decision Support System (MLP-CDSS)
    An AI-integrated system utilizing a Multilayer Perceptron (MLP) model to predict delirium risk and guide targeted interventions. The system continuously analyzes real-time data from Electronic Health Records (EHR), including physiological parameters, medication history, and laboratory results.
  • Поведенческое VR-based Cognitive Intervention
    A virtual reality intervention designed to provide cognitive stimulation and reduce sensory deprivation. Patients engage in interactive games (e.g., traditional-themed tasks such as goldfish scooping or lantern festivals) that require attention, memory, and spatial orientation. These sessions are conducted twice daily for total 30-40 minutes, 3-4 times a week.
  • Поведенческое VR-assisted Early Mobility Exercise
    A VR-based physical activity program focused on promoting upper limb movement and range of motion. The virtual environment encourages patients to perform specific gestures or reaching tasks while in bed or a seated position, aiming to improve mobility and reduce the physical deconditioning common in ICU stays. These sessions are conducted twice daily for total 30-40 minutes, 3-4 times a week.

Первичные конечные точки

  • Incidence of ICU delirium [Срок оценки: From ICU admission to ICU discharge or maximum 28 days, assessed per shift]
  • Delirium-Free Days [Срок оценки: Through Day 28 after ICU admission.]
Вторичные конечные точки (11)
  • Subjective Sleep Quality [Срок оценки: Daily from enrollment until ICU discharge or up to a maximum of 28 days.]
  • Objective Sleep Quality [Срок оценки: Continuous monitoring every night from enrollment until ICU discharge or up to a maximum of 28 days.]
  • ICU Mortality [Срок оценки: From ICU admission to ICU discharge (estimated up to 28 days)]
  • 90-day All-cause Mortality [Срок оценки: 90 days after hospital discharge.]
  • Cumulative Dose of Sedatives and Analgesics [Срок оценки: Daily during the ICU stay, up to 28 days.]
  • Hospital Length of Stay (LOS) [Срок оценки: From study enrollment to hospital discharge (expected up to 3 month).]
  • ICU-related Adverse Events [Срок оценки: Throughout the ICU stay, up to 28 days]
  • ICU Length of Stay (ICU LOS) [Срок оценки: From ICU admission to ICU discharge (estimated up to 28 days).]
  • Health-Related Quality of Life [Срок оценки: At 3 months and 6 months after hospital discharge.]
  • Duration of Mechanical Ventilation [Срок оценки: Throughout the ICU stay, from enrollment up to a maximum of 28 days.]
  • Long-term Cognitive Function [Срок оценки: At 3 months and 6 months after hospital discharge.]

Критерии участия

Критерии включения

  • Patients aged 18 years
  • High risk of developing delirium are defined as PRE-DELIRIC (PREdiction of DELIRium in ICu patients) with a score of ≥40%
  • Sedation assessment form (Richmond Agitation-Sedation). Scale, RASS) is assessed as between +1 and -1
  • Patient is clearly aware and able to communicate with Chinese and Taiwanese customers.

Критерии исключения

  • Those who have developed delirium before joining the study (assessed by the Intensive Care Delirium Screening Checklist (ICDSC) >4 points)
  • Expected to stay in the ICU for less than 24 hours
  • APACHE II score > 25 (meaning > 50% mortality)
  • Delirium cannot be evaluated, such as those with severe acute brain injury, audio-visual impairment, speech problems, psychotic disorders, aphasia, or in the entire ICU During this period, patient remained comatose.

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Да

Дизайн исследования

Распределение
Рандомизированное
Модель
Параллельные группы
Маскирование
Простое слепое
Основная цель
Профилактика

Центры проведения

Тайвань · 1 центр
  • Taipei Medical University, Taipei, 110 — Taipei

Идентификаторы

NCT: NCT07631494 · N202502041

Первоисточники (государственные реестры)

Открыть это исследование на ClinicalTrials.gov ↗