Two-Hour Algorithm for Triage toward Rule-Out and Rule-In of Acute Myocardial Infarction by Use of High-Sensitivity Cardiac Troponin I

Author:

Boeddinghaus Jasper123,Reichlin Tobias12,Cullen Louise45,Greenslade Jaimi H45,Parsonage William A56,Hammett Christopher6,Pickering John W78,Hawkins Tracey45,Aldous Sally8,Twerenbold Raphael12,Wildi Karin1,Nestelberger Thomas123,Grimm Karin123,Rubini Gimenez Maria12,Puelacher Christian1,Kern Vera1,Rentsch Katharina9,Than Martin8,Mueller Christian12

Affiliation:

1. Cardiovascular Research Institute Basel (CRIB)

2. Department of Cardiology, and

3. Department of Internal Medicine, University Hospital Basel, Basel, Switzerland

4. Department of Emergency Medicine, Royal Brisbane and Women's Hospital, Brisbane, Australia

5. School of Public Health, The Queensland University of Technology, Brisbane, Australia

6. School of Medicine, The University of Queensland, Brisbane, Australia

7. Department of Medicine, University of Otago, Christchurch, New Zealand

8. Emergency Department, Christchurch Hospital, Christchurch, New Zealand

9. Laboratory Medicine, University Hospital Basel, Basel, Switzerland

Abstract

Abstract 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.

Funder

Queensland Emergency Medical Research Foundation

Swiss Forum for International Agricultural Research

Schweizerische Herzstiftung

Abbott Laboratories

Alere

AstraZeneca

bioMérieux

Beckman Coulter Foundation

Brahms

Nanosphere

Roche

Siemens

Singulex

Sphingotec

8sense

University Hospital Basel

Publisher

Oxford University Press (OUP)

Subject

Biochemistry (medical),Clinical Biochemistry

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