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Construction of a machine learning-based frailty risk prediction model for coronary heart disease patients

Construction of a machine learning-based frailty risk prediction model for coronary heart disease patients

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098373
Enrollment
Unknown
Registered
2025-03-06
Start date
2025-01-08
Completion date
Unknown
Last updated
2025-03-10

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

Conditions

Coronary Heart Disease

Interventions

Patients were grouped according to the presence or absence of frailty:None

Sponsors

Mindong Hospital of Ningde City
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Aged from 18 to 80 years old; 2. Patients receiving medical therapy and PCI according to the guidelines for the Diagnosis and Treatment of Chronic stable Angina pectoris; 3. Cardiac function grade I-III; 4. Clear consciousness, no communication disorder; 5. Willing to cooperate and sign the informed consent form.

Exclusion criteria

Exclusion criteria: 1. Coronary heart disease patients with frailty at admission; 2. Other serious physical, hearing, mental, mobility, or serious complications; 3. incomplete clinical data; 4. Those who are participating in other clinical trials.

Design outcomes

Primary

MeasureTime frame
frailty;Incidence of frailty;Receiver operating characteristic curve;

Secondary

MeasureTime frame
Nutrition;Self-management behaviors;Sleep;Anxiety and depression;

Countries

China

Contacts

Public ContactQixi Liu

Fujian university of traditional Chinese medicine

17639518@qq.com+86 139 5051 3386

Outcome results

None listed

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