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Two-Hour Algorithm for Triage toward Rule-Out and Rule-In of Acute Myocardial Infarction by Use of High-Sensitivity Cardiac Troponin I
Author(s) -
Jasper Boeddinghaus,
Tobias Reichlin,
Louise Cullen,
Jaimi Greenslade,
William Parsonage,
Christopher Hammett,
John W. Pickering,
Tracey Hawkins,
Sally Aldous,
Raphael Twerenbold,
Karin Wildi,
Thomas Nestelberger,
Karin Grimm,
María Rubini Giménez,
Christian Puelacher,
Vera Kern,
Katharina Rentsch,
Martin Than,
Christian Mueller
Publication year - 2016
Publication title -
clinical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.705
H-Index - 218
eISSN - 1530-8561
pISSN - 0009-9147
DOI - 10.1373/clinchem.2015.249508
Subject(s) - triage , myocardial infarction , medicine , algorithm , cohort , clinical prediction rule , emergency department , scoring rule , predictive value of tests , rule based system , cardiology , troponin , receiver operating characteristic , prospective cohort study , positive predicative value , sensitivity (control systems) , cohort study , troponin i , derivation , predictive value , machine learning , emergency medicine , artificial intelligence , computer science , artery , psychiatry , electronic engineering , engineering
BACKGROUND The early triage of patients toward rule-out and rule-in of acute myocardial infarction (AMI) is challenging. Therefore, we aimed to develop a 2-h algorithm that uses high-sensitivity cardiac troponin I (hs-cTnI). METHODS We prospectively enrolled 1435 (derivation cohort) and 1194 (external validation cohort) patients presenting with suspected AMI to the emergency department. The final diagnosis was adjudicated by 2 independent cardiologists. hs-cTnI was measured at presentation and after 2 h in a blinded fashion. We derived and validated a diagnostic algorithm incorporating hs-cTnI values at presentation and absolute changes within the first 2 h. RESULTS AMI was the final diagnosis in 17% of patients in the derivation and 13% in the validation cohort. The 2-h algorithm developed in the derivation cohort classified 56% of patients as rule-out, 17% as rule-in, and 27% as observation. Resulting diagnostic sensitivity and negative predictive value (NPV) were 99.2% and 99.8% for rule-out; specificity and positive predictive value (PPV) were 95.2% and 75.8% for rule-in. Applying the 2-h algorithm in the external validation cohort, 60% of patients were classified as rule-out, 13% as rule-in, and 27% as observation. Diagnostic sensitivity and NPV were 98.7% and 99.7% for rule-out; specificity and PPV were 97.4% and 82.2% for rule-in. Thirty-day survival was 100% for rule-out patients in both cohorts. CONCLUSIONS A simple algorithm incorporating hs-cTnI baseline values and absolute 2-h changes allowed a triage toward safe rule-out or accurate rule-in of AMI in the majority of patients.

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