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

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ClinicalTrials.gov Identifier: NCT04670458
Recruitment Status : Recruiting
First Posted : December 17, 2020
Last Update Posted : December 17, 2020
Sponsor:
Information provided by (Responsible Party):
Qilu Hospital of Shandong University

Study Description
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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
In-Hospital Cardiac Arrest Other: no intervention

Study Design
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Study Type : Observational
Estimated Enrollment : 2000 participants
Observational Model: Case-Control
Time Perspective: Retrospective
Official Title: Derivation of An In-Hospital Cardiac Arrest Prediction Model for Patients in Intensive Care Unit
Actual Study Start Date : October 1, 2020
Estimated Primary Completion Date : September 30, 2021
Estimated Study Completion Date : December 31, 2021

Resource links provided by the National Library of Medicine


Groups and Cohorts
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Group/Cohort 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
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Primary Outcome Measures :
  1. In-Hospital Cardiac Arrest [ Time Frame: Day 2 ]
    Cardiac arrest occurs during hospitalization


Eligibility Criteria
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Ages Eligible for Study:   14 Years and older   (Child, Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
Patients hospitalized in the intensive care unit (ICU, CCU, RICU, EICU, NCU and DICU) of Qilu Hospital of Shandong University from January 1, 2017 to October 31, 2019 were selected.
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
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Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04670458


Contacts
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Contact: Wentao Sang 15153187102 752318151@qq.com
Contact: Feng Xu 18560083066 xufengsdu@126.com

Locations
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China, Shandong
Qilu Hospital of Shandong University Recruiting
Jinan, Shandong, China, 250012
Contact: Wentao Sang    15153187102    752318151@qq.com   
Contact: Feng Xu    18560083066    xufengsdu@126.com   
Sponsors and Collaborators
Qilu Hospital of Shandong University
More Information
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Responsible Party: Qilu Hospital of Shandong University
ClinicalTrials.gov Identifier: NCT04670458    
Other Study ID Numbers: IHCA-EWS-QLH
First Posted: December 17, 2020    Key Record Dates
Last Update Posted: December 17, 2020
Last Verified: December 2020

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by Qilu Hospital of Shandong University:
Critically ill patients
In-Hospital Cardiac Arrest
Early recognition
Early warning score
Additional relevant MeSH terms:
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Heart Arrest
Heart Diseases
Cardiovascular Diseases