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BMC Geriatrics
Published in: BMC Geriatrics 1/2019

Open Access 01-12-2019 | Triage | Study protocol

Study protocol for a multicentre prospective cohort study to identify predictors of adverse outcome in older medical emergency department patients (the Risk Stratification in the Emergency Department in Acutely Ill Older Patients (RISE UP) study)

Authors: Noortje Zelis, Jacqueline Buijs, Peter W. de Leeuw, Sander M. J. van Kuijk, Patricia M. Stassen

Published in: BMC Geriatrics | Issue 1/2019

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Abstract

Background

Older patients (≥65 years old) experience high rates of adverse outcomes after an emergency department (ED) visit. Reliable tools to predict adverse outcomes in this population are lacking. This manuscript comprises a study protocol for the Risk Stratification in the Emergency Department in Acutely Ill Older Patients (RISE UP) study that aims to identify predictors of adverse outcome (including triage- and risk stratification scores) and intends to design a feasible prediction model for older patients that can be used in the ED.

Methods

The RISE UP study is a prospective observational multicentre cohort study in older (≥65 years of age) ED patients treated by internists or gastroenterologists in Zuyderland Medical Centre and Maastricht University Medical Centre+ in the Netherlands.
After obtaining informed consent, patients characteristics, vital signs, functional status and routine laboratory tests will be retrieved. In addition, disease perception questionnaires will be filled out by patients or their caregivers and clinical impression questionnaires by nurses and physicians. Moreover, both arterial and venous blood samples will be taken in order to determine additional biomarkers. The discriminatory value of triage- and risk stratification scores, clinical impression scores and laboratory tests will be evaluated.
Univariable logistic regression will be used to identify predictors of adverse outcomes. With these data we intend to develop a clinical prediction model for 30-day mortality using multivariable logistic regression. This model will be validated in an external cohort.
Our primary endpoint is 30-day all-cause mortality. The secondary (composite) endpoint consist of 30-day mortality, length of hospital stay, admission to intensive- or medium care units, readmission and loss of independent living.
Patients will be followed up for at least 30 days and, if possible, for one year.

Discussion

In this study, we will retrieve a broad range of data concerning adverse outcomes in older patients visiting the ED with medical problems. We intend to develop a clinical tool for identification of older patients at risk of adverse outcomes that is feasible for use in the ED, in order to improve clinical decision making and medical care.

Trial registration

Retrospectively registered on clinicaltrials.​gov (NCT02946398; 9/20/2016).
Appendix
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Metadata
Title
Study protocol for a multicentre prospective cohort study to identify predictors of adverse outcome in older medical emergency department patients (the Risk Stratification in the Emergency Department in Acutely Ill Older Patients (RISE UP) study)
Authors
Noortje Zelis
Jacqueline Buijs
Peter W. de Leeuw
Sander M. J. van Kuijk
Patricia M. Stassen
Publication date
01-12-2019
Publisher
BioMed Central
Keyword
Triage
Published in
BMC Geriatrics / Issue 1/2019
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-019-1078-2

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