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Digital Phenotyping of High-Risk Chronic Ventilator-Dependent Patients

Multidimensional Digital Phenotyping of High-Risk Chronic Disease Patients With Ventilator Dependence

Status
Enrolling by invitation
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07656155
Enrollment
30500
Registered
2026-06-18
Start date
2025-08-01
Completion date
2029-01-01
Last updated
2026-06-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ventilator Dependency

Keywords

Ventilator Dependence, Chronic Disease, Mechanical Ventilation, Intensive Care Units, Risk Factors, Digital Phenotyping

Brief 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.

Interventions

None listed

Sponsors

China-Japan Friendship Hospital
Lead SponsorOTHER
Zhongda Hospital
CollaboratorOTHER
First Affiliated Hospital of Chongqing Medical University
CollaboratorOTHER
Shenzhen Mindray Bio-Medical Electronics Co., Ltd
CollaboratorUNKNOWN

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age \> 18 years old. * Patients admitted to ICU and receiving invasive mechanical ventilation. * Comorbid with chronic diseases.

Exclusion criteria

* Total invasive mechanical ventilation duration ≤ 48 hours. * Death within 7 days after ICU admission. * Withdrawal of treatment.

Design outcomes

Primary

MeasureTime frameDescription
Proportion of ventilator dependence(mechanical ventilation time≥7 days) in chronic disease patients receiving invasive mechanical ventilationFrom enrollment to 7 daysthe proportion of patients who achieve sustained liberation from invasive mechanical ventilation within 7 days of the initial intubation.

Secondary

MeasureTime frameDescription
Proportion of chronic disease patients still receiving IPPV at 14/21 days after mechanical ventilation21 daysthe proportion of patients who achieve sustained liberation from invasive mechanical ventilation within 14 and 21 days of the initial intubation.
Success rate of the first Spontaneous Breathing Trial (SBT) in chronic disease patientsduring hospitalization,assessed up to 28 days
Time to first extubation in chronic disease patientsduring hospitalization,assessed up to 28 days
Proportion of first extubation failure in chronic disease patientsduring hospitalization,assessed up to 28 days
High-risk factors for first extubation failure in chronic disease patientsduring hospitalization,assessed up to 28 days
ICU mortality rateduring hospitalization,assessed up to 28 days
In-hospital mortality rateduring hospitalization,assessed up to 28 days
ICU length of stayduring hospitalization,assessed up to 28 days
Total hospital length of stayduring hospitalization,assessed up to 28 days
Duration of invasive mechanical ventilationduring hospitalization,assessed up to 28 days
Incidence of Ventilator-Associated Pneumonia (VAP)during hospitalization,assessed up to 28 days
Proportion of patients undergoing tracheostomyduring hospitalization,assessed up to 28 days
Time of tracheostomyduring hospitalization,assessed up to 28 daysamong those who receive tracheostomy
High-risk factors for ventilator dependence in chronic disease patientsduring hospitalization,assessed up to 28 days

Countries

China

Contacts

PRINCIPAL_INVESTIGATORXu Huang, MD

Department of Respiratory and Critical Care Medicine, China-Japan Friendship Hospital

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 19, 2026