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Prospective Validation of the CoDE-HF Algorithm for the Diagnosis of Acute Heart Failure
Sponsor: University of Edinburgh
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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
3808
Start Date
2021-04-25
Completion Date
2028-06-30
Last Updated
2026-02-03
Healthy Volunteers
No
Conditions
Interventions
CoDE-HF decision support tool
We will assess the diagnostic performance of the CoDE-HF decision support tool
Locations (1)
Centre for Cardiovascular Science, University of Edinburgh
Edinburgh, United Kingdom