UNLABELLED: We aimed to prospectively derive and validate a novel 0-/1-hour algorithm using high-sensitivity cardiac troponin I (hs-cTnI) for the early "rule-out" and "rule-in" of acute myocardial infarction (AMI). METHODS: In a prospective multicenter diagnostic study, we enrolled 1,500 patients presenting with suspected AMI to the emergency department. The final diagnosis was centrally adjudicated by 2 independent cardiologists blinded to hs-cTnI concentrations. The hs-cTnI (Siemens Vista) 0-/1-hour algorithm incorporated measurements performed at baseline and absolute changes within 1 hour, was derived in the first 750 patients (derivation cohort), and then validated in the second 750 (validation cohort). RESULTS: Overall, AMI was the final diagnosis in 16% of patients. Applying the hs-cTnI 0-/1-hour algorithm developed in the derivation cohort to the validation cohort, 57% of patients could be classified as "rule-out"; 10%, as "rule-in"; and 33%, as "observe." In the validation cohort, the sensitivity and the negative predictive value for AMI in the "rule-out" zone were 100% (95% CI 96%-100%) and 100% (95% CI 99%-100%), respectively. The specificity and the positive predictive value (PPV) for AMI in the "rule-in" zone were 96% (95% CI 94%-97%) and 70% (95% CI 60%-79%), respectively. Negative predictive value and positive predictive value of the 0-/1-hour algorithm were higher compared to the standard of care combining hs-cTnI with the electrocardiogram (both P < .001). CONCLUSION: The hs-cTnI 0-/1-hour algorithm performs very well for early rule-out as well as rule-in of AMI. The clinical implications are that used in conjunction with all other clinical information, the 0-/1-hour algorithm will be a safe and effective approach to substantially reduce time to diagnosis.
UNLABELLED: We aimed to prospectively derive and validate a novel 0-/1-hour algorithm using high-sensitivity cardiac troponin I (hs-cTnI) for the early "rule-out" and "rule-in" of acute myocardial infarction (AMI). METHODS: In a prospective multicenter diagnostic study, we enrolled 1,500 patients presenting with suspected AMI to the emergency department. The final diagnosis was centrally adjudicated by 2 independent cardiologists blinded to hs-cTnI concentrations. The hs-cTnI (Siemens Vista) 0-/1-hour algorithm incorporated measurements performed at baseline and absolute changes within 1 hour, was derived in the first 750 patients (derivation cohort), and then validated in the second 750 (validation cohort). RESULTS: Overall, AMI was the final diagnosis in 16% of patients. Applying the hs-cTnI 0-/1-hour algorithm developed in the derivation cohort to the validation cohort, 57% of patients could be classified as "rule-out"; 10%, as "rule-in"; and 33%, as "observe." In the validation cohort, the sensitivity and the negative predictive value for AMI in the "rule-out" zone were 100% (95% CI 96%-100%) and 100% (95% CI 99%-100%), respectively. The specificity and the positive predictive value (PPV) for AMI in the "rule-in" zone were 96% (95% CI 94%-97%) and 70% (95% CI 60%-79%), respectively. Negative predictive value and positive predictive value of the 0-/1-hour algorithm were higher compared to the standard of care combining hs-cTnI with the electrocardiogram (both P < .001). CONCLUSION: The hs-cTnI 0-/1-hour algorithm performs very well for early rule-out as well as rule-in of AMI. The clinical implications are that used in conjunction with all other clinical information, the 0-/1-hour algorithm will be a safe and effective approach to substantially reduce time to diagnosis.
Authors: Jasper Boeddinghaus; Tobias Reichlin; Thomas Nestelberger; Raphael Twerenbold; Yvette Meili; Karin Wildi; Petra Hillinger; Maria Rubini Giménez; Janosch Cupa; Lukas Schumacher; Marie Schubera; Patrick Badertscher; Sydney Corbière; Karin Grimm; Christian Puelacher; Zaid Sabti; Dayana Flores Widmer; Nicolas Schaerli; Nikola Kozhuharov; Samyut Shrestha; Tobias Bürge; Patrick Mächler; Michael Büchi; Katharina Rentsch; Òscar Miró; Beatriz López; F Javier Martin-Sanchez; Esther Rodriguez-Adrada; Beata Morawiec; Damian Kawecki; Eva Ganovská; Jiri Parenica; Jens Lohrmann; Andreas Buser; Dagmar I Keller; Stefan Osswald; Christian Mueller Journal: Clin Res Cardiol Date: 2017-02-01 Impact factor: 5.460
Authors: Dirk Westermann; Johannes Tobias Neumann; Nils Arne Sörensen; Stefan Blankenberg Journal: Nat Rev Cardiol Date: 2017-04-06 Impact factor: 32.419
Authors: Júlia Karády; Thomas Mayrhofer; Maros Ferencik; John T Nagurney; James E Udelson; Andreas A Kammerlander; Jerome L Fleg; W Frank Peacock; James L Januzzi; Wolfgang Koenig; Udo Hoffmann Journal: J Am Coll Cardiol Date: 2021-03-30 Impact factor: 24.094