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Development and multicenter validation of an artificial intelligence-based model for cardiac arrest subtype and prognosis analysis

Development and multicenter validation of an artificial intelligence-based model for cardiac arrest subtype and prognosis analysis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500095805
Enrollment
Unknown
Registered
2025-01-13
Start date
2023-07-01
Completion date
Unknown
Last updated
2025-01-27

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

Conditions

Cardiac arrest

Interventions

Observation group:None

Sponsors

Hangzhou First People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
16 Years to 200 Years

Inclusion criteria

Inclusion criteria: (1) Age> 16 years old; (2) In the event of respiratory and cardiac arrest for any reason, after cardiopulmonary resuscitation, spontaneous circulation shall be restored; (3) Record of the first ICU hospitalization after cardiac arrest.

Exclusion criteria

Exclusion criteria: (1) Non-first-time ICU admission; (2) Age< 16 years old; (3) Patients who were hospitalized in the ICU for less than 72 hours after cardiac arrest and had incomplete data collection.

Design outcomes

Primary

MeasureTime frame
Patients died in the hospital and within 28 days after discharge;—

Countries

China

Contacts

Public ContactWei Hu

Hangzhou First People's Hospital

paolohu929@zju.edu.cn+86 136 3416 4536

Outcome results

None listed

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