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

Development and Validation of a Predictive Model for Stoma Healing After Decannulation in Patients With Prolonged Tracheostomy

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07747844
Acronym
STOMA-PRED
Enrollment
219
Registered
2026-08-05
Start date
2026-05-18
Completion date
2026-06-25
Last updated
2026-08-05

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

Conditions

Delayed Tracheostoma Healing Following Decannulation in Long-term Tracheostomy Patients

Keywords

Stoma healing after decannulation, tracheostomy, predictive model, rehabilitation patients

Brief 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.

Detailed description

Objective To develop and validate a predictive model for post-decannulation stoma healing in patients with prolonged tracheostomy, and screen high-risk predictors of poor wound healing. Methods This retrospective observational study will recruit eligible patients and split subjects into training and validation cohorts at a fixed ratio. Candidate clinical and stoma-related variables will be screened via LASSO regression. Multiple prediction models including logistic regression, decision tree and random forest will be built, and evaluated by AUC, Brier score and DCA. Expected Outcomes Core predictive indicators linked to delayed stoma healing will be identified, and the optimal model with robust predictive performance will be determined to stratify patients into high-risk groups. Expected Conclusions The optimal model can achieve accurate risk stratification for stoma healing disorders. Targeted interventions including personalized nutrition, standardized stoma care and activity management will be recommended for high-risk patients.

Interventions

OTHERNo intervention

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

Sponsors

Capital Medical University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No

Inclusion criteria

* Successful decannulation,it was defined as no need for tracheostomy tube reinsertion within 48 hours after decannulation * Complete clinical data * Voluntary participation in the study and signed informed consent form

Exclusion criteria

* Decannulation failure, with reinsertion of a tracheostomy tube or endotracheal tube * Discharge from hospital before the tracheostomy stoma healed * Refusal to participate in the study or withdrawal from the study midway

Design outcomes

Primary

MeasureTime frameDescription
Time to Complete Epithelial Closure of the Tracheostomy Stoma After DecannulationFrom the date of tracheostomy tube decannulation to the date of spontaneous complete epithelial closure of the tracheostomy stoma, assessed up to 30 days after decannulationTime to complete epithelial closure is defined as the number of days from tracheostomy tube decannulation to spontaneous complete epithelial closure of the tracheostomy stoma, as determined by clinical assessment. Participants who do not achieve complete epithelial closure within 30 days after decannulation will be censored at Day 30.

Secondary

MeasureTime frameDescription
Correlates of delayed tracheostomy stoma healing after decannulationPre-decannulation baseline assessment through confirmation of complete epithelial closure of the tracheostomy stoma; all assessments will be completed within 30 days after decannulationBaseline demographic characteristics, laboratory parameters, rehabilitation-related variables, and tracheostomy-related clinical indicators will be collected at the pre-decannulation baseline assessment. Delayed tracheostomy stoma healing is defined based on the time (in days) to spontaneous complete epithelial closure of the tracheostomy stoma after decannulation, assessed via routine clinical wound visual inspection. Machine learning algorithms will be applied to screen candidate predictive variables and quantify the relative predictive contribution of each baseline variable to the time to complete stoma epithelial closure.

Countries

China

Contacts

STUDY_CHAIRHongying Jiang, MD

Pulmonary Rehabilitation Center, Beijing Rehabilitation Hospital of Capital Medical University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 6, 2026