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OpenTrials
Completed

NCT Number: NCT04402281

Use of suPAR Algorithm for the ED Decision Making

Will the use of a clinical decision algorithm in the ED improve discharge or admission decisions.

Completed

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Key information

Age range

18 year–104 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Department of Emergency Medicine and Services, Helsinki University Hospital and Helsinki University, Helsinki, Finland

Helsinki, Helsinki Usimaa, Finland

About this study

Background Crowding and readmissions are common challenges in Emergency departments across Europe. The decision whether to admit or discharge the patient is challenging and is often based on clinical signs and symptoms e.g. blood pressure, pulse, respiratory rate, oxygen saturation and temperature. But some patients are unnecessarily admitted and may have been better off if sent home. Other patients may be discharged without - and one out of five patients are readmitted within a month raising the question whether the patient should have been admitted at first presentation in the ED. suPAR is a strong prognostic biomarker measured routinely in acute medical patients in some emergency department (ED) settings.suPAR is a broadly applicable biomarker of risk, and it has been developed an algorithm for simple interpretation of suPAR in clinical decisions for the study.

Objective To evaluate the use of a clinical decision algorithm in the ED with the aim of improving discharge or admission decisions.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • All patients above 18 years
  • who are having blood taken for biochemical analysis when attending the ED

Exclusion criteria

  • Acute medical patients that do not have blood drawn for routine biochemical testing.
  • Pregnant
  • Under 18 years old
  • Terminally ill patients.

Treatment and study plan

suPAR algoritm

Diagnostic Test

All medical patients attending to the ED and who will have blood drawn for routine examination will be part of the study. In patients with low suPAR (green group, suPAR below 3 ng/ml) and in patients with high suPAR (red group, suPAR > 6 ng/mL) the Intervention will be carried out

Primary outcomes

  1. Discharges

    Time frame: 30 days

    Number of discharges from the ED within 24 hours

Secondary outcomes

  1. Admissions

    Time frame: 30 days

    Number of admissions to hospital

  2. Length of stay

    Time frame: 30 days

    Length of stay during admission

  3. Readmissions

    Time frame: 1,7 and 30 days

    Number of readmissions

  4. Mortality

    Time frame: 30 days

    Number of Mortality

Other outcomes

  1. Economical savings

    Time frame: 30 days

    Amount of money

Sponsors and collaborators

Lead sponsor

Helsinki University Central Hospital

Other

Collaborators

  • University of Copenhagen

Registry information

Official study title

Use of Algorithm for Safer and More Efficient Decision Making in the ED

Acronym: EDsuPAR

Important dates

Study start
2020
Primary completion
2021
Study completion
2021
First posted
May 26, 2020
Registry last updated
Feb 11, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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