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Construction and Validation of a Multimodal Model for Predicting Fall Risk in Hospitalized Alzheimer's Disease Patients

Construction and Validation of a Multimodal Model for Predicting Fall Risk in Hospitalized Alzheimer's Disease Patients

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500111365
Enrollment
Unknown
Registered
2025-10-30
Start date
2025-11-10
Completion date
Unknown
Last updated
2025-11-03

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

Conditions

Alzheimer's Disease and Unexpected Falls

Interventions

Observation group:None

Sponsors

Ningbo University Affiliated Kangning Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Hospitalized Alzheimer’s disease patients from January 2027 to December 2027, who meet the diagnostic criteria of Western medicine and the diagnosis standards in the 10th edition of the International Classification of Diseases (ICD-10) by the World Health Organization; 2. Age over 60 years old; 3. Informed consent.

Exclusion criteria

Exclusion criteria: 1.Patients who are completely bedridden and unable to move; 2.Individuals with serious physical illnesses (such as malignant tumors, etc.)

Design outcomes

Primary

MeasureTime frame
Gait Analysis (Gait Video Analysis);Cognitive Function Scores (MMSE, MoCA);Functional near-infrared spectroscopy (fNIRS) monitoring of prefrontal cortex activity;Ward layout, nighttime lighting intensity, bedrail usage frequency;—

Countries

China

Contacts

Public ContactLiu Yuehong

Ningbo University Affiliated Kangning Hospital

65782202@qq.com+86 574 2630 2637

Outcome results

None listed

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