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Predictive Model for Stoma Healing After Tracheostomy Decannulation in Patients With Prolonged Tracheostomy

NCT07747844 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 219

Last updated 2026-08-05

No results posted yet for this study

Summary

Prolonged tracheostomy is prone to induce chronic airway mucosal injury and tracheal cartilage degeneration, which not only elevates the risks of post-decannulation complications such as persistent fistula non-healing, airway stenosis and recurrent infections, but also impairs ventilatory, phonatory and deglutitive functions, thereby exerting a severe adverse impact on patients' prognosis and quality of life.Accordingly, the retrospective observational study aimed to characterize stoma healing time after decannulation, identify key predictive factors, and develop and validate a clinically useful prediction model. These findings will offer evidence-based guidance for future researchers in selecting appropriate modeling methodologies and provide a scientific foundation for the development of targeted clinical intervention and prevention strategies.

Conditions

  • Delayed Tracheostoma Healing Following Decannulation in Long-term Tracheostomy Patients

Interventions

OTHER

No intervention

No interventional measures were performed; patients were grouped according to natural stoma healing outcome.

Sponsors & Collaborators

  • Capital Medical University

    lead OTHER

Principal Investigators

  • Hongying Jiang, MD · Pulmonary Rehabilitation Center, Beijing Rehabilitation Hospital of Capital Medical University

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-05-18
Primary Completion
2026-06-18
Completion
2026-06-25

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 NCT07747844 on ClinicalTrials.gov