Comparison of a 3-hour versus a 6-hour sampling-protocol using high-sensitivity cardiac troponin T for rule-out and rule-in of non-STEMI in an unselected emergency department population

2013 ◽  
Vol 167 (4) ◽  
pp. 1134-1140 ◽  
Author(s):  
Moritz Biener ◽  
Matthias Mueller ◽  
Mehrshad Vafaie ◽  
Till Keller ◽  
Stefan Blankenberg ◽  
...  
Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001682
Author(s):  
Andreas Roos ◽  
Martin J Holzmann

ObjectiveSeveral high-sensitivity cardiac troponin (hs-cTn)-based strategies exist for rule-out of myocardial infarction (MI). It is unknown whether historical hs-cTnT concentrations can be used. This study aim to evaluate the performance of a rule-out strategy based on the European Society of Cardiology (ESC) 0/1-hour algorithm, using historical hs-cTnT concentrations.MethodsAll visits among patients with chest pain in the emergency department at nine different hospitals in Sweden from 2012 to 2016 were eligible (221 490 visits). We enrolled patients with a 0-hour hs-cTnT of <12 ng/L, a second hs-cTnT measured within 3.5 hours, and ≥1 historical hs-cTnT available. We calculated the risks of MI and all-cause mortality using two rule-out strategies: (1) a delta hs-cTnT of <3 ng/L between the 0-hour hs-cTnT and the second hs-cTnT (modified ESC algorithm) and (2) a historical hs-cTnT <12 ng/L and a delta hs-cTnT of <3 ng/L in relation to the 0-hour hs-cTnT (historical-hs-cTnT algorithm).ResultsA total of 8432 patients were included, of whom 84 (1.0%) had an MI. The modified ESC algorithm triaged 8100 (96%) patients toward ruled-out, for whom 30-day MI risk and negative predictive value (NPV) for MI (95% CI) were 0.4% (0.3% to 0.6%) and 99.6% (99.4% to 99.7%), respectively. The historical-hs-cTnT algorithm ruled out 6700 (80%) patients, with a 30-day MI risk of 0.5% (0.4% to 0.8%) and NPV of 99.5% (99.2% to 99.6%).ConclusionsThe application of algorithm resulted in similar MI risk and NPV to an established algorithm. The usefulness of historical hs-cTnT concentrations should merit further attention.


2018 ◽  
Vol 14 (3) ◽  
pp. 403-410 ◽  
Author(s):  
Andrea Fabbri ◽  
Cristina Bachetti ◽  
Filippo Ottani ◽  
Alice Morelli ◽  
Barbara Benazzi ◽  
...  

Author(s):  
Chen Dongxu ◽  
Zhou Yannan ◽  
Yang Yilin ◽  
Yao Chenling ◽  
Gu Guorong ◽  
...  

Abstract Objectives A rapid 0 h/1 h algorithm using high-sensitivity cardiac troponin T (hs-cTnT) for rule-out and rule-in of non-ST-segment elevation myocardial infarction (NSTEMI) is recommended by the European Society of Cardiology. We aim to prospectively evaluate the diagnostic performance of the algorithm in Chinese Han patients with suspected NSTEMI. Methods In this prospective diagnostic cohort study, 577 patients presenting to the emergency department with suspected NSTEMI and recent (<12 h) onset of symptoms were enrolled. The levels of serum hs-cTnT were measured on admission, 1 h later and 4–14 h later. All patients underwent the initial clinical assessment and were triaged into three groups (rule-out, rule-in and observe) according to the 0 h/1 h algorithm. The major cardiovascular events (MACE) were evaluated at the 7-day and 30-day follow-ups. Results Among 577 enrolled patients, NSTEMI was the final diagnosis for 106 (18.4%) patients. Based on the hs-cTnT 0 h/1 h algorithm, 148 patients (25.6%) were classified as rule-out, 278 patients (48.2%) as rule-in and 151 patients (26.2%) were assigned to the observe group. The rule-out approach resulted in a sensitivity of 100% and negative predictive value of 100%. The rule-in approach resulted in a specificity of 62.9% [95% CI (58.5–67.2%)] and positive predictive value of 37.1% [95%CI (31.3–42.8%)]. No MACE was observed in the rule-out group within 30-day follow-up. Conclusions The hs-cTnT 0 h/1 h algorithm is a safe tool for early rule-out of NSTEMI, while probably not an effective strategy for accurate rule-in of NSTEMI in Chinese Han population.


2015 ◽  
Vol 187 (8) ◽  
pp. E243-E252 ◽  
Author(s):  
Tobias Reichlin ◽  
Raphael Twerenbold ◽  
Karin Wildi ◽  
Maria Rubini Gimenez ◽  
Nathalie Bergsma ◽  
...  

Biomarkers ◽  
2018 ◽  
Vol 23 (6) ◽  
pp. 551-557 ◽  
Author(s):  
Dorothee Riedlinger ◽  
Martin Möckel ◽  
Christian Müller ◽  
Fabian Holert ◽  
Julia Searle ◽  
...  

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