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Predictive Algorithms for Critical Rehabilitation Outcomes

NCT06532994 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 250

Last updated 2026-04-21

No results posted yet for this study

Summary

An increasing amount of evidence from evidence-based medicine indicates that early rehabilitation intervention for patients receiving mechanical ventilation is safe and feasible, and can promote functional recovery and reduce hospital stay. However, the conscious state, respiratory function, and daily living activities of these patients after being discharged from the ICU vary greatly, and some patients do not show obvious benefits. How to identify which patients may have benefit from early rehabilitation is a key issue that needs to be addressed in critical care rehabilitation. This study aims to investigate the clinical data related to the disease of the ICU survivors who received mechanical ventilation as the research object, by collecting their clinical data when receiving early rehabilitation intervention, and constructing a clinical prediction model for the efficacy of early rehabilitation intervention in the ICU through the selection of optimal regression equation or machine learning algorithm. The application of this model can effectively determine whether ICU inpatients need early rehabilitation intervention, thereby reducing complication rates and improving their quality of life.

Conditions

  • Intensive Care
  • Mechanical Ventilation
  • Rehabilitation
  • Algorithms

Interventions

OTHER

Early rehabilitation intervention

Based on the indications for early rehabilitation intervention outlined in the "Chinese Expert Consensus on Neurological Critical Care Rehabilitation," early rehabilitation interventions are categorized into three stages according to the patient's consciousness level (GCS score), degree of cooperation (S5Q score), and sedation status (RASS score)

Sponsors & Collaborators

  • General Hospital of the Yangtze River Shipping/Wuhan Brain Hospital

    collaborator UNKNOWN

  • Wuchang Hospital Affiliated to Wuhan University of Science and Technology

    collaborator UNKNOWN

  • Wuhan University

    lead OTHER

Eligibility

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

Timeline & Regulatory

Start
2024-08-01
Primary Completion
2026-10-30
Completion
2026-12-30

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 NCT06532994 on ClinicalTrials.gov