The National Early Warning Score: Preceding Dynamics in the Score for Those Who Suffer an In-hospital Cardiac Arrest

September 3, 2018 updated by: Region Skane

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

Completed

Conditions

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

Observational

Enrollment (Actual)

381

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Kristianstad, Sweden
        • Region Skane

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients in hospital wards

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Cases
150 patients that suffered an in-hospital cardiac arrest in a hospital ward.
NEWS
Controls
300 patients that did not suffer an in-hospital cardiac arrest but was treated in a hospital ward.
NEWS

What is the study measuring?

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.
24 hours preceding an in-hospital cardiac arrest

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Karin Samuelson, Ass Professor, Region Skane

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 30, 2017

Primary Completion (Actual)

September 2, 2018

Study Completion (Actual)

September 2, 2018

Study Registration Dates

First Submitted

April 24, 2017

First Submitted That Met QC Criteria

May 3, 2017

First Posted (Actual)

May 8, 2017

Study Record Updates

Last Update Posted (Actual)

September 5, 2018

Last Update Submitted That Met QC Criteria

September 3, 2018

Last Verified

September 1, 2018

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • RegionSkaneKrYHVOAnIVAMS2

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Vital Signs

Clinical Trials on NEWS

Search Similar Trials