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

Qilu Hospital of Shandong University2,000 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

2,000

Conditions

In-Hospital Cardiac Arrest

Interventions

no interventionOTHER

no intervention

Eligibility

Sex: ALLMin age: 14 Years

Medical Language ↔ Plain English

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

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

Overview

Conditions

Interventions

Eligibility

Locations (1)

Outcomes

Primary Outcomes

Central Contacts