FindTrial
Sign In

Real-Time Prediction of In-Hospital Cardiac Arrest in ICU Patients Using Temporal and Static Data: A Clinical Early Warning Model

Real-Time Prediction of In-Hospital Cardiac Arrest in ICU Patients Using Temporal and Static Data: A Clinical Early Warning Model

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600124783
Enrollment
Unknown
Registered
2026-05-18
Start date
2026-05-20
Completion date
Unknown
Last updated
2026-05-25

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

Conditions

Respiratory and cardiac arrest

Interventions

IHCA Group:None
Non-IHCA Group:None

Sponsors

The Affiliated Fifth Hospital of Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
14 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Patients admitted to the EICU of the Fifth Affiliated Hospital of Sun Yat-sen University between January 1, 2023, and October 31, 2025; 2. Aged >= 14 years;

Exclusion criteria

Exclusion criteria: 1. EICU length of stay = 20%;

Design outcomes

Primary

MeasureTime frame
Risk of IHCA within 24 hours;—

Secondary

MeasureTime frame
ROC-AUC;sensitivity;specificity;positive predictive value;negative predictive value;—

Countries

China

Contacts

Public ContactYao Lan

The Affiliated Fifth Hospital of Sun Yat-sen University

yyaollan@163.com+86 756 2528120

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 30, 2026