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

NCT04670458 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2020-12-17

No results posted yet for this study

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.

Conditions

  • In-Hospital Cardiac Arrest

Interventions

OTHER

no intervention

no intervention

Sponsors & Collaborators

  • Qilu Hospital of Shandong University

    lead OTHER

Eligibility

Min Age
14 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-10-01
Primary Completion
2021-09-30
Completion
2021-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04670458 on ClinicalTrials.gov