Derivation of An In-Hospital Cardiac Arrest Prediction Model for Patients in Intensive Care Unit
Study Details
Study Description
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.
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
---|---|
CA group Patients with In-Hospital Cardiac Arrest |
Other: no intervention
no intervention
|
CONTROL group Patients without In-Hospital Cardiac Arrest |
Other: no intervention
no intervention
|
Outcome Measures
Primary Outcome Measures
- In-Hospital Cardiac Arrest [Day 2]
Cardiac arrest occurs during hospitalization
Eligibility Criteria
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
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | Qilu Hospital of Shandong University | Jinan | Shandong | China | 250012 |
Sponsors and Collaborators
- Qilu Hospital of Shandong University
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- IHCA-EWS-QLH