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Development of a Multimodal Artificial Intelligence-Based System for Identifying Risk Factors of Sarcopenia in Patients Undergoing Maintenance Hemodialysis and for Health Management

Development of a Multimodal Artificial Intelligence-Based System for Identifying Risk Factors of Sarcopenia in Patients Undergoing Maintenance Hemodialysis and for Health Management

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500107020
Enrollment
Unknown
Registered
2025-08-01
Start date
2025-09-01
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

Sarcopenia

Interventions

Non sarcopenia group:None

Sponsors

The Second Affiliated Hospital of Xiamen Medical College
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Age 18 years and above; 2.Receive hemodialysis treatment for >= 3 months; 3.Can successfully complete the inspection; 4.The research subjects need to sign an informed consent form.

Exclusion criteria

Exclusion criteria: 1. History of mental illness; 2. Critically ill patients; 3. The first round of screening diagnosed a patient with sarcopenia.

Design outcomes

Primary

MeasureTime frame
Skeletal muscle mass index;Grip strength;A walking speed of 6 meters;Physical Activity ;

Countries

China

Contacts

Public ContactYe Wan

The Second Affiliated Hospital of Xiamen Medical College

200600010142@xmmc.edu.cn+86 138 0608 6169

Outcome results

None listed

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