Title
An Algorithm Based on Combining hs-cTnT and H-FABP for Ruling Out Acute Myocardial Infarction
Abstract
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
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.141.12
Mary Jo Kurth2416.84
Mark Ruddock300.34
Sam Jeffery Fishlock400.34
McLaughlin, J.5411.37