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Digital Phenotyping of High-Risk Chronic Ventilator-Dependent Patients

NCT07656155 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 30500

Last updated 2026-06-18

No results posted yet for this study

Summary

This project plans to employ a multi-center retrospective and prospective cohort study design. It aims to collect data on ventilator support strategies, duration of invasive mechanical ventilation, incidence of ventilator dependence, high-risk factors for ventilator dependence, and in-hospital mortality rates among different chronic disease populations in the ICU. This will involve combining unstructured data with real-time bedside multi-dimensional high-frequency data (including dynamic changes in data volume, respiratory mechanics, diaphragm ultrasound, EIT, diaphragm electrical activity, and other monitoring parameters) to construct digital phenotypes for chronic disease patients with ventilator dependence and identify high-risk factors for ventilator dependence in this population.

Specifically, the research will:

Utilize an integrated modular intelligent respiratory monitoring system, previously developed by the project team, to achieve dynamic monitoring of multi-dimensional indicators.

Systematically collect dynamic clinical characteristics of mechanical ventilation dependence in chronic disease populations through retrospective and prospective cohort studies, and employ multivariate statistical analysis, machine learning, and other techniques to identify no fewer than 5-6 high-risk factors for ventilator dependence in chronic disease patients.

Establish a data ecosystem suitable for chronic disease patients undergoing mechanical ventilation, build a multi-dimensional high-frequency data platform for chronic ventilator-dependent populations, map the full cycle from intubation to mechanical ventilation support, weaning, and extubation, and construct multidimensional digital phenotypes for high-risk chronic disease patients with ventilator dependence.

Conditions

  • Ventilator Dependency

Sponsors & Collaborators

  • Zhongda Hospital

    collaborator OTHER

  • First Affiliated Hospital of Chongqing Medical University

    collaborator OTHER

  • Shenzhen Mindray Bio-Medical Electronics Co., Ltd

    collaborator UNKNOWN

  • China-Japan Friendship Hospital

    lead OTHER

Principal Investigators

  • Xu Huang, MD · Department of Respiratory and Critical Care Medicine, China-Japan Friendship Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-08-01
Primary Completion
2029-01-31
Completion
2029-01-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07656155 on ClinicalTrials.gov