Title | ||
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An Algorithm Based on Combining hs-cTnT and H-FABP for Ruling Out Acute Myocardial Infarction |
Abstract | ||
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Our previous work demonstrated that algorithms combining high sensitivity cardiac troponin T (hs-cTnT) and heart-type fatty acid-binding protein (H-FABP) may help in ruling out Acute Myocardial Infarction (AMI). For those algorithms, the hs-cTnT thresholds were adopted from the ESC guidelines. This time, we present a data-driven approach that also explores hs-cTnT thresholds. The results show a significant improvement when compared to previous algorithms reported. Using a cohort of n = 360 patients (288 Non-AMI and 72 AMI), a rule-out algorithm used at presentation identified more low-risk patients who presented with chest pain of suspected cardiac origin than the standard ESC algorithm: (199/288 (69.1%) vs. 83/288 (28.8%) (p <; 0.0005)), respectively. According to our data, our algorithm at the emergency department, would identify additional non-AMI patients in comparison to the ESC algorithm, potentially reducing the number of hospital admissions by 42%. |
Year | DOI | Venue |
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2019 | 10.23919/CinC49843.2019.9005791 | 2019 Computing in Cardiology (CinC) |
Keywords | DocType | ISSN |
low-risk patients,suspected cardiac origin,standard ESC algorithm,nonAMI patients,combining hs-cTnT,acute myocardial infarction,heart-type fatty acid-binding protein,hs-cTnT thresholds,ESC guidelines,data-driven approach,72 AMI | Conference | 2325-8861 |
ISBN | Citations | PageRank |
978-1-7281-5942-3 | 0 | 0.34 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Navarro, C. | 1 | 4 | 1.12 |
Mary Jo Kurth | 2 | 41 | 6.84 |
Mark Ruddock | 3 | 0 | 0.34 |
Sam Jeffery Fishlock | 4 | 0 | 0.34 |
McLaughlin, J. | 5 | 4 | 11.37 |