Derivation of An In-Hospital Cardiac Arrest Prediction Model for Patients in Intensive Care Unit

• Conditions: In-Hospital Cardiac Arrest

• Registration Number: NCT04670458
• Lead Sponsor: Qilu Hospital of Shandong University

Brief Summary

Current studies have shown that hospitalized ICU patients have a high risk of IHCA, with an incidence of about 0.6-7.8%. Early prediction of the occurrence of IHCA in severe patients can provide early intervention, prevent the deterioration of the disease, and reduce the incidence of IHCA. Therefore, researchers wanted to verify the efficacy of MEWS, NEWS, and CART scores in predicting IHCA in ICU inpatients, and to establish an early-warning scoring model that could effectively predict the risk of IHCA occurrence in ICU inpatients during hospitalization.

Detailed Description

Not available

Study Timeline

• Study Start: 2020-10-01
• Study First Submitted: 2020-11-26
• Status Verified: 2020-12
• Study First Submitted QC: 2020-12-10
• Last Update Submitted: 2020-12-10
• Study First Posted: 2020-12-17
• Last Update Posted: 2020-12-17
• Primary Completion: 2021-09-30
• Study Completion: 2021-12-31

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 2000

Inclusion Criteria

• Occurrence of IHCA
• Hospital stay ≥48h.

Exclusion Criteria

• <14 years
• Do Not Resuscitat
• Patients hospitalized due to out-of-hospital cardiac arrest
• Cardiac arrest occurs during the operation
• The patients with implanted cardiac pacemaker suffered cardiac arrest due to instrument malfunction.

CONTROL group

Inclusion Criteria:

• Without IHCA
• Hospital stay ≥48h

Exclusion Criteria:

• <14 years
• Leave hospital without medical advice

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
In-Hospital Cardiac Arrest	Day 2	Cardiac arrest occurs during hospitalization

Trial Locations

Locations (1)

Qilu Hospital of Shandong University; 🇨🇳 Jinan, Shandong, China