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Construction of risk prediction model for adverse cardiovascular events in elderly ACS patients after PCI

Construction and validation of a prediction model for adverse cardiovascular events in elderly patients with acute coronary syndrome after PCI based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600125555
Enrollment
Unknown
Registered
2026-05-28
Start date
2026-05-31
Completion date
Unknown
Last updated
2026-06-01

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

Conditions

Coronary atherosclerotic heart disease (CHD)

Interventions

Observation group:None

Sponsors

Zhongshan People’s Hospital(Affiliated Zhongshan Hospital of Sun Yat-sen University)
Lead Sponsor

Eligibility

Sex/Gender
All
Age
60 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Age >= 60 years old (according to WHO/UN standards for the elderly, combined with domestic cardiovascular research conventions); 2. From January 1st, 2022 to December 31st, 2024, they were treated in the Department of Cardiology of our hospital; 3. Successfully received percutaneous coronary intervention (including balloon dilatation, stent implantation or both) during this hospitalization; 4. Have complete electronic medical record data, and be able to obtain the core variables required for calculating grace score and model construction.

Exclusion criteria

Exclusion criteria: 1. critical state: hospitalized due to cardiogenic shock, cardiac mechanical complications (such as ventricular septal perforation, papillary muscle rupture) and other critical states, or the expected survival time is very short (<24 hours); 2. severe complications: malignant tumor (expected survival time<1 year), end-stage liver disease, severe hematological system disease or immune system disease; 3. in hospital death: in hospital death occurred after PCI during this hospitalization; 4. lack of key data: the clinical key data (such as left ventricular ejection fraction (LVEF), the number of coronary artery lesions, troponin peak, etc.) are missing, so they cannot be used for model analysts; 5. non first admission: repeat admission within the statistical time window due to the same disease diagnosis (only included in the first admission record); 6. patients who are judged by the investigator as unsuitable for participating in this study.

Design outcomes

Primary

MeasureTime frame
Incidence of major adverse cardiovascular events (MACE) at 6 months postoperatively;

Secondary

MeasureTime frame
Incidence rates of individual MACE events at 6 months postoperatively;ML model discrimination metrics;

Countries

China

Contacts

Public ContactNie Fang

Zhongshan People’s Hospital(Affiliated Zhongshan Hospital of Sun Yat-sen University)

295850820@qq.com+86 760 8988 0035

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jun 11, 2026