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Enrolling By Invitation NCT07656155

Digital Phenotyping of High-Risk Chronic Ventilator-Dependent Patients

Conditions: Ventilator Dependency

Sex: All
Ages: 18 Years – N/A
Healthy volunteers: No
Enrollment: 30500
Sponsor: China-Japan Friendship Hospital

Location: Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital Beijing Beijing Municipality

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.

Eligibility Criteria

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.

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View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT07656155). StuddyBuddy aggregates publicly available trial information.