The New Golden Standard: the Early Warning Score Algorithm
EAGLE
1 other identifier
observational
80
2 countries
3
Brief Summary
The objective is this study is the development and implementation of a smart algorithm to compute an early warning indicator able to predict early patient deterioration.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Apr 2019
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 1, 2019
CompletedFirst Submitted
Initial submission to the registry
October 1, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 4, 2019
CompletedFirst Posted
Study publicly available on registry
March 2, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
April 30, 2020
CompletedMay 15, 2020
May 1, 2020
7 months
October 1, 2019
May 14, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Precision of predictive early warning score algorithm
Precision defined of truepositives divided by the sum of truepositives and truenegatives. This measure indicates how often the predictive EWS was right in identifying adverse events.
Up to 1 week
Study Arms (1)
Main Group
Hospitalized for at least 1 day clinic stay at the participating hospitals
Interventions
The patient will be equipped with the SomnoTouch device. This device is able to record and estimate the following data: ECG data PPG data Heart rate Respiration rate Blood pressure (mmHg) Oxygen saturation (%). All patient will be stored for further analysis.
The patient will be equipped with the MOX device. This device is able to record and estimate the following data: Accelerometers data Activity Body posture All patient will be stored for further analysis.
Eligibility Criteria
Hospitalized for at least 1 day at the participating hospitals excluding patients admitted at high intensity units: Intensive care units, Coronary care units, Emergency room.
You may not qualify if:
- Suffering from infectious disease
- Participating to another study that could intervene with the study results (e.g. experimental medication that could affect the heart rate).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Liegelead
- Academisch Ziekenhuis Maastrichtcollaborator
- KU Leuvencollaborator
- Ziekenhuis Oost-Limburgcollaborator
- Hasselt Universitycollaborator
- Maastricht Universitycollaborator
Study Sites (3)
Ziekenhuis Oost-Limburg
Genk, Limbourg, 3600, Belgium
Centre Hospitalier Universitaire de Liège
Liège, 4000, Belgium
Maastricht University Medical Center+
Maastricht, Netherlands
Related Publications (5)
Gerry S, Birks J, Bonnici T, Watkinson PJ, Kirtley S, Collins GS. Early warning scores for detecting deterioration in adult hospital patients: a systematic review protocol. BMJ Open. 2017 Dec 3;7(12):e019268. doi: 10.1136/bmjopen-2017-019268.
PMID: 29203508BACKGROUNDJarvis S, Kovacs C, Briggs J, Meredith P, Schmidt PE, Featherstone PI, Prytherch DR, Smith GB. Aggregate National Early Warning Score (NEWS) values are more important than high scores for a single vital signs parameter for discriminating the risk of adverse outcomes. Resuscitation. 2015 Feb;87:75-80. doi: 10.1016/j.resuscitation.2014.11.014. Epub 2014 Nov 26.
PMID: 25433295BACKGROUNDMoon A, Cosgrove JF, Lea D, Fairs A, Cressey DM. An eight year audit before and after the introduction of modified early warning score (MEWS) charts, of patients admitted to a tertiary referral intensive care unit after CPR. Resuscitation. 2011 Feb;82(2):150-4. doi: 10.1016/j.resuscitation.2010.09.480. Epub 2010 Nov 5.
PMID: 21056524BACKGROUNDAjami S, Teimouri F. Features and application of wearable biosensors in medical care. J Res Med Sci. 2015 Dec;20(12):1208-15. doi: 10.4103/1735-1995.172991.
PMID: 26958058BACKGROUNDSmith MEB, Chiovaro JC, O'Neil M, Kansagara D, Quinones A, Freeman M, Motu'apuaka M, Slatore CG. Early Warning System Scores: A Systematic Review [Internet]. Washington (DC): Department of Veterans Affairs (US); 2014 Jan. Available from http://www.ncbi.nlm.nih.gov/books/NBK259026/
PMID: 25506953BACKGROUND
Study Officials
- PRINCIPAL INVESTIGATOR
Patrizio Lancellotti
Liège University Hospital - CHU de Liège
- STUDY DIRECTOR
Pierre Delanaye
Liège University Hospital - CHU de Liège
- STUDY DIRECTOR
Arnaud Ancion
Liège University Hospital - CHU de Liège
- STUDY DIRECTOR
Pieter Vandervoort
Department of Cardiology and Department Future Health, Ziekenhuis Oost-Limburg
- STUDY CHAIR
Dianne de Korte-de Boer
Maastricht University Medical Centre, department of Anesthesiology
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
October 1, 2019
First Posted
March 2, 2020
Study Start
April 1, 2019
Primary Completion
November 4, 2019
Study Completion
April 30, 2020
Last Updated
May 15, 2020
Record last verified: 2020-05