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Prospective validation of the CoDE-HF algorithm for the diagnosis of acute heart failure (ProVa CoDE-HF)
Safe People
Organisation name
University of Edinburgh
Applicant name(s)
Dr Ken Lee
Funders/ Sponsors
MRC / Data-Driven Innovation
Safe Projects
Project ID
DL_2021_003
Lay 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.
Request category type
Public Health Research
Latest approval date
19/12/2022
Safe Data
Dataset(s) name
Researcher-sourced data
Data sensitivity level
De-Personalised
Safe Setting
Access type
TRE