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Using Graph Attention Network to Identify High-Risk Subgroups and Predict Prognosis in Ischemic Stroke Patients

Using Graph Attention Network to Identify High-Risk Subgroups and Predict Prognosis in Ischemic Stroke Patients

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500113279
Enrollment
Unknown
Registered
2025-11-26
Start date
2025-12-01
Completion date
Unknown
Last updated
2025-12-01

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

Conditions

Ischemic Stroke

Interventions

Case group:NA

Sponsors

The Affiliated Hospital of Yunnan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Admitted diagnosis of ischaemic stroke 2. Patients experiencing a first-time stroke episode with residual unilateral motor impairment 3. Age >=18 years, disease duration = 1 week 5. All clinical information complete and traceable

Exclusion criteria

Exclusion criteria: 1. Patients with incomplete clinical records at admission and/or discharge 2. Impaired consciousness not attributable to cerebrovascular disease 3. Missing rehabilitation functional assessment data 4. Patients unable to undertake relevant rehabilitation exercises during hospitalisation

Design outcomes

Primary

MeasureTime frame
Functional recovery (ADL score);Mortality Rate;—

Secondary

MeasureTime frame
Clinical Physiological Parameters (SOFA Score);Cognitive Function (MMSE, MoCA Score);Quality of Life;Neurological Function Score (Brunnstrom Stage, Modified Ashworth Score);Incidence of Complications;Quality of Life (VAS Score, Pain Assessment);—

Countries

China

Contacts

Public ContactChuanxiong Li

The Affiliated Hospital of Yunnan University

352784777@qq.com+86 183 1387 1217

Outcome results

None listed

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