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| ID | Type | Description | Link |
|---|---|---|---|
| MRC/CIC8/79 | Other Grant/Funding Number | MRC Confidence in Concept | |
| RE/18/5/34216 | Other Grant/Funding Number | British Heart Foundation |
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| Name | Class |
|---|---|
| NHS Lothian | OTHER_GOV |
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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.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| CoDE-HF decision support tool | Diagnostic Test | We will assess the diagnostic performance of the CoDE-HF decision support tool |
| Measure | Description | Time Frame |
|---|---|---|
| Adjudicated diagnosis of acute heart failure | At index presentation |
| Measure | Description | Time Frame |
|---|---|---|
| Subsequent hospitalisation with heart failure | 3 months | |
| All-cause death | 3 months |
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Inclusion Criteria:
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All consecutive patients presenting to the Emergency Department with acute breathlessness will be included in this study
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Centre for Cardiovascular Science, University of Edinburgh | Edinburgh | EH16 4SB | United Kingdom |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35697365 | Background | Lee KK, Doudesis D, Anwar M, Astengo F, Chenevier-Gobeaux C, Claessens YE, Wussler D, Kozhuharov N, Strebel I, Sabti Z, deFilippi C, Seliger S, Moe G, Fernando C, Bayes-Genis A, van Kimmenade RRJ, Pinto Y, Gaggin HK, Wiemer JC, Mockel M, Rutten JHW, van den Meiracker AH, Gargani L, Pugliese NR, Pemberton C, Ibrahim I, Gegenhuber A, Mueller T, Neumaier M, Behnes M, Akin I, Bombelli M, Grassi G, Nazerian P, Albano G, Bahrmann P, Newby DE, Japp AG, Tsanas A, Shah ASV, Richards AM, McMurray JJV, Mueller C, Januzzi JL, Mills NL; CoDE-HF investigators. Development and validation of a decision support tool for the diagnosis of acute heart failure: systematic review, meta-analysis, and modelling study. BMJ. 2022 Jun 13;377:e068424. doi: 10.1136/bmj-2021-068424. |
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IPD can be made available to researchers upon request to the principal investigator.
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| ID | Term |
|---|---|
| D004194 | Disease |
| ID | Term |
|---|---|
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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