The National Early Warning Score: Preceding Dynamics in the Score for Those Who Suffer an In-hospital Cardiac Arrest
To this date no clinical evaluation reports of the dynamics in the National Early Warning Score (NEWS) for those patients who suffer an in-hospital cardiac arrest, IHCA, exists. This process needs to be investigated in order to optimize the future care of these patients.
Research Questions H1: Patients that suffer an IHCA has had higher NEWS in the preceding 24 hours from the event compared to those who did not suffer an IHCA.
H2: The dynamics in the NEWS, differs between the patients that suffer an IHCA and those who do not in the preceding 24 hours from the event.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Power:
A sample size of 300 patients in the control group and 150 patients in the group that suffered from an IHCA would generate a power estimate of 80 percent if the difference in the median is one point on the NEWS with a standard deviate of three points.
Analysis of the Research Data:
Categorical and nonparametric data will be presented in median (25-75 percentiles).
A hypothesis testing will be performed where the documented NEWS will be categorized into low-, medium- and high-risk and divided into different timespans. The timespans will be 0-6 h, 6-12 h, 12-18 and 18-24 h preceding the IHCA. In case of multiple NEWS measurements within each timespan, the worst NEWS measurement will be chosen. Each timespan during the 24 hours will not be treated as repeated measures and will be tested by the Chi square test. This test is chosen because the data is categorical. Another hypothesis test where all the NEWS measurements will be included and each documented NEWS on the same patient will be treated as repeated measures. A binary logistic regression analysis will be performed using Generalized Estimating Equations (GEE) and modelled to fit.
In order to select the covariates that is to be included in the regression analysis a non-parametric test including all the parameters in the NEWS will be executed. The level of significance for this test will be set to p=0.2 2. Collinearity within the NEWS parameters that is to be included in the regression analysis will be tested. The level of collinearity that is accepted will be <+0,6 and >-0,6. A binomial logistic regression analysis will be executed with the selected parameters in the NEWS The outcome of the regression analysis will be presented as odds ratio (OR).
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
-
Kristianstad, Sweden
- Region Skane
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
All patients ≥18 years of age admitted to the hospitals during a period of 12 months will be reviewed for eligibility
Exclusion Criteria:
-
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Cases
150 patients that suffered an in-hospital cardiac arrest in a hospital ward.
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NEWS
|
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Controls
300 patients that did not suffer an in-hospital cardiac arrest but was treated in a hospital ward.
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NEWS
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Dynamics in the National Early Warning Score (NEWS) in the 24 hours preceding an in-hospital cardiac arrest.
Time Frame: 24 hours preceding an in-hospital cardiac arrest
|
All documented National Early Warning Scores (NEWS) on eligible patients admitted to a hospital ward will be collected.
The NEWS will be divided into different timespans in the 24 hours preceding the in-hospital cardiac arrest.
A control group of patients will also have their NEWS collected.
The NEWS of the control group and the cases will then be entered into the hypothesis testing.
The aim is to find some dynamics in the NEWS that separates the patients that suffers an in-hospital cardiac arrest from those who do not in the 24 hours preceding the event.
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24 hours preceding an in-hospital cardiac arrest
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Karin Samuelson, Ass Professor, Region Skane
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- RegionSkaneKrYHVOAnIVAMS2
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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