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A Retrospective, Single-center Machine Learning Assessment Study of the Risk of Acute Coronary Syndrome

Research on Predicting the Risk Degree of Acute Coronary Syndrome by Machine Learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100049313
Enrollment
Unknown
Registered
2021-07-30
Start date
2021-08-01
Completion date
Unknown
Last updated
2022-04-04

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

Conditions

Acute coronary syndrome

Interventions

Case series:None

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Relying on the case system of West China Hospital of Sichuan University, 19,000 patients with the acute coronary syndrome who underwent coronary angiography or PCI in the Department of Cardiology of West China Hospital from 2011 to 2020 were continuously enrolled; 2.The diagnostic criteria for acute coronary syndromes meet the following (1)(2), which may be accompanied by (3): (1)Aggravated angina pectoris; (2)And coronary angiography showed that the main coronary artery has at least one main vessel (left main artery, anterior descending artery, circumflex or right coronary artery), and the degree of main coronary artery stenosis is >=50%; (3)With or without electrocardiogram ischemic change or elevated myocardial enzymes.

Exclusion criteria

Exclusion criteria: Exclude severe liver and kidney dysfunction through medical history, physical examination, and auxiliary examinations.

Design outcomes

Primary

MeasureTime frame
All-cause mortality;—

Secondary

MeasureTime frame
Major cardiovascular events;—

Countries

China

Contacts

Public ContactPeng Yong

West China Hospital, Sichuan University

pengyongcd@126.com+86 18980606696

Outcome results

None listed

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