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Skeletal Muscle Mass on Prognosis and Recovery in Clinical Trial

NCT07034170 · Status: ENROLLING_BY_INVITATION · Phase: NA · Type: INTERVENTIONAL · Enrollment: 90

Last updated 2025-06-24

No results posted yet for this study

Summary

The objective of this research project is to develop an automated muscle mass measurement system based on computed tomography (CT) images using deep learning and artificial intelligence, and to construct a prognostic prediction model for patients who have experienced cardiac arrest and undergone resuscitation. The model will be validated using multicenter registry data and medical imaging. Furthermore, a clinical trial involving core muscle rehabilitation for post-resuscitation patients will be conducted to evaluate both short-term and long-term outcomes, aiming to comprehensively understand the impact of muscle mass on the prognosis of patients after cardiac arrest.

Conditions

  • Out of Hospital Cardiac Arrest
  • Inhospital Cardiac Arrest

Interventions

BEHAVIORAL

Enhanced Rehabilitation Program

Participants in the intervention group receive an enhanced rehabilitation program, including muscular electrical stimulation, guided active rehabilitation sessions, and structured physical engagement during periods of consciousness. The intervention is designed to promote functional improvement in post-cardiac arrest patients.

Sponsors & Collaborators

  • National Taiwan University Hospital

    lead OTHER

Study Design

Allocation
NON_RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
SINGLE
Model
PARALLEL

Eligibility

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

Timeline & Regulatory

Start
2025-06-01
Primary Completion
2028-05-30
Completion
2028-12-31

Countries

  • Taiwan

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 NCT07034170 on ClinicalTrials.gov