Evidence map›Paper›PMID 30832571›Full record

Observational studyBMC geriatrics2019

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).

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

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02946398 (Risk Stratification in Elderly Patients in the Emergency Department), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02946398 completednot on this map

Risk Stratification in Elderly Patients in the Emergency Department

TypeobservationalSponsorZuyderland Medisch CentrumRan2016 to 2019Enrolled600ConditionsElderly Patiënts
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Major adverse cardiovascular events in older emergency department patients presenting with non-cardiac medical complaints.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2022
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Noortje ZelisDepartment of Internal Medicine and Gastroenterology, Zuyderland Medical Centre, Heerlen, the Netherlands. n.zelis@zuyderland.nl.ORCID 0000-0003-0015-5240
Jacqueline BuijsDepartment of Internal Medicine and Gastroenterology, Zuyderland Medical Centre, Heerlen, the Netherlands.
Peter W de LeeuwDepartment of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Centre, Maastricht University, Maastricht, the Netherlands.
Sander M J van KuijkDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, Maastricht University, Maastricht, the Netherlands.
Patricia M StassenDepartment of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Centre, Maastricht University, Maastricht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder 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.

methodsThe 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 registrationRetrospectively registered on clinicaltrials.gov ( NCT02946398 ; 9/20/2016).

Indexed as

Academic Medical CentersAcute DiseaseAgedAged, 80 and overBiomarkersCause of DeathCohort StudiesEmergency Service, HospitalFeasibility StudiesFemaleHumansLogistic ModelsMaleModels, StatisticalNetherlandsPatient AdmissionBiomarkersEmergency departmentOlder patientsPrognosisRisk stratification

Identifiers

PMID30832571
PMCPMC6399878

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.