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Development of a Risk Prediction Model for Muscle Atrophy After Stroke Using Logistic Regression to Optimize Rehabilitation Pathways

Development of a Risk Prediction Model for Muscle Atrophy After Stroke Using Logistic Regression to Optimize Rehabilitation Pathways - Post-Stroke Muscle Atrophy Risk Prediction: Logistic Regression & Rehabilitation Pathway Optimization

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500112427
Enrollment
Unknown
Registered
2025-11-13
Start date
2025-11-13
Completion date
Unknown
Last updated
2025-11-17

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

Conditions

Muscle Atrophy After Stroke

Interventions

Post-Stroke Muscle Atrophy Risk Prediction Cohort:None

Sponsors

The First Affiliated Hospital of Hunan University of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Acute stroke patients aged 18 to 70 years, of any gender; 2. With stable current vital signs and no need for emergency rescue or ICU monitoring and treatment; 3. Patients who voluntarily participate in this study and sign/affix their fingerprints (for those who are illiterate or have paralyzed hands that prevent writing) on the Informed Consent Form.

Exclusion criteria

Exclusion criteria: 1. Patients requiring long-term intensive care and unable to undergo regular rehabilitation courses or ultrasound examinations; 2. Patients with a history of limb movement disorders, limb surgeries, or other diseases that prevent cooperation with rehabilitation exercises. 3. Pregnant or lactating women.

Design outcomes

Primary

MeasureTime frame
Post-Stroke Muscle Atrophy Occurrence;ROC curve;

Countries

China

Contacts

Public ContactHanwen Li

The First Affiliated Hospital of Hunan University of Medicine

xfyylsyu@126.com+86 182 2922 9262

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026