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

Shandong University

Status: Unknown

Conditions: In-Hospital Cardiac Arrest

Treatments: Other: no intervention

Study type: Observational

Funder types: Other

Identifiers

NCT04670458

IHCA-EWS-QLH

Details and patient eligibility

About

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.

Enrollment: 2,000 estimated patients

Sex: All

Ages: 14+ years old

Volunteers: No Healthy Volunteers

Inclusion and exclusion criteria

CA group

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

Trial design

2,000 participants in 2 patient groups

CA group

Description:

Patients with In-Hospital Cardiac Arrest

Treatment:

Other: no intervention

CONTROL group

Description:

Patients without In-Hospital Cardiac Arrest

Treatment:

Other: no intervention