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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).
Zelis, Noortje; Buijs, Jacqueline; de Leeuw, Peter W; van Kuijk, Sander M J; Stassen, Patricia M.
Afiliação
  • Zelis N; Department of Internal Medicine and Gastroenterology, Zuyderland Medical Centre, Heerlen, the Netherlands. n.zelis@zuyderland.nl.
  • Buijs J; CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht University, Maastricht, the Netherlands. n.zelis@zuyderland.nl.
  • de Leeuw PW; Department of Internal Medicine, K&E1, Zuyderland Medical Centre, Heerlen, Postbus 5500, 6130 MB, Sittard-Geleen, the Netherlands. n.zelis@zuyderland.nl.
  • van Kuijk SMJ; Department of Internal Medicine and Gastroenterology, Zuyderland Medical Centre, Heerlen, the Netherlands.
  • Stassen PM; Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Centre, Maastricht University, Maastricht, the Netherlands.
BMC Geriatr ; 19(1): 65, 2019 03 04.
Article em En | MEDLINE | ID: mdl-30832571
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).
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença Aguda / Medição de Risco / Serviço Hospitalar de Emergência Tipo de estudo: Clinical_trials / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male País como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença Aguda / Medição de Risco / Serviço Hospitalar de Emergência Tipo de estudo: Clinical_trials / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male País como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article