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Prospective Validation of the CoDE-HF Algorithm for the Diagnosis of Acute Heart Failure

NCT05518396 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 3808

Last updated 2026-02-03

No results posted yet for this study

Summary

Acute heart failure is a life-threatening condition where the heart is suddenly unable to pump blood around the body. It can be challenging to diagnose because the symptoms often mimic other conditions. Previous studies have showed that delays in making the correct diagnosis result in worse outcomes. We therefore developed a decision-support tool called CoDE-HF that uses a computer algorithm to combine levels of a blood test called NT-proBNP with patient factors to calculate the probability of acute heart failure for an individual.

In this project, we wish to evaluate the performance of CoDE-HF in approximately 2,000 patients attending the Emergency Department with suspected acute heart failure. We will store surplus material from their blood tests to measure NT-proBNP and link information from their electronic health records with other routinely collected medical information in regional and national databases in order to evaluate this algorithm.

Conditions

  • Acute Heart Failure
  • Diagnosis

Interventions

DIAGNOSTIC_TEST

CoDE-HF decision support tool

We will assess the diagnostic performance of the CoDE-HF decision support tool

Sponsors & Collaborators

  • NHS Lothian

    collaborator OTHER_GOV

  • University of Edinburgh

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-04-25
Primary Completion
2024-06-01
Completion
2028-06-30

Countries

  • United Kingdom

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05518396 on ClinicalTrials.gov