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Construction of a model for predicting high-risk anatomical lesions of coronary arteries in elderly hypertensive population based on frailty phenotypes through machine learning

Construction of a model for predicting high-risk anatomical lesions of coronary arteries in elderly hypertensive population based on frailty phenotypes through machine learning

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200055882
Enrollment
Unknown
Registered
2022-01-22
Start date
2022-02-01
Completion date
Unknown
Last updated
2023-07-02

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

Conditions

frailty, coronary heart disease

Interventions

Elderly hypertensive patients planning their first PTCA:None

Sponsors

West China Hospital of Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
60 Years to 105 Years

Inclusion criteria

Inclusion criteria: 1. Aged over 60 years; 2. Those who underwent PTCA for the first time; 3. Those who left complete PTCA information.

Exclusion criteria

Exclusion criteria: 1. Those who have developed acute coronary syndrome within 1 month; 2. Those who have not completed the FP test; 3. Those who have incomplete information.

Design outcomes

Primary

MeasureTime frame
Percutaneous coronary ntervention;Coronarycomputed tomographic angiography;Frailty phenotype;

Countries

China

Contacts

Public ContactLiu Yixin

The Center of Gerontology and Geriatrics, West China Hospital, Sichuan University

onlybush@yeah.net+86 13540636110

Outcome results

None listed

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