A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction

Author:

Kaier Thomas E1ORCID,Twerenbold Raphael234ORCID,Lopez-Ayala Pedro23ORCID,Nestelberger Thomas235ORCID,Boeddinghaus Jasper23,Alaour Bashir1ORCID,Huber Iris-Martina23,Zhi Yuan23,Koechlin Luca236ORCID,Wussler Desiree23ORCID,Wildi Karin2378,Shrestha Samyut23,Strebel Ivo23,Miro Oscar239,Martín-Sánchez Javier F2310,Christ Michael311,Kawecki Damien23,Keller Dagmar I12,Rubini Gimenez Maria2313ORCID,Marber Michael1,Mueller Christian23ORCID,Freese Michael,Ratmann Paul David,Prepoudis Alexandra,Gualandro Danielle M,Geigy Nicolas,Reichlin Tobias,Rentsch Katharina,Maier Mario,Troester Valentina,Gehrke Juliane,Coscia Tania,Glarner Noemi,Schoepfer Hadrien,Buechi Michael,Walter Joan,Sanchez Ana Yufera,Puelacher Christian,du Fay de Lavallaz Jeanne,Sanzione Alessandra,Schäfer Ibrahim,Hillinger Petra,López Beatriz,Adrada Esther Rodriguez,Muzyk Piotr,Morawiec Beata,Parenica Jiri,Ganovská Eva,Lohrmann Jens,Buser Andreas,von Eckardstein Arnold,Bingisser Roland,Nickel Christian,

Affiliation:

1. King’s College London BHF Centre, The Rayne Institute, St Thomas’ Hospital , London , UK

2. Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel , Petersgraben 4, CH-4031 Basel , Switzerland

3. GREAT Network

4. University Center of Cardiovascular Science and Department of Cardiology, University Heart and Vascular Center Hamburg , Hamburg , Germany

5. Division of Cardiology, Vancouver General Hospital, University of British Columbia , Vancouver, British Columbia , Canada

6. Department of Cardiac Surgery, University Hospital Basel, University of Basel , Basel , Switzerland

7. Critical Care Research Institute, The Prince Charles Hospital , Brisbane, Queensland , Australia

8. University of Queensland , Brisbane, Queensland , Australia

9. Emergency Department, Hospital Clinic , Barcelona, Catalonia , Spain

10. Emergency Department, Hospital Clinico San Carlos , Madrid , Spain

11. Department of Emergency Medicine, Luzerner Kantonsspital , Lucerne , Switzerland

12. Emergency Department, University Hospital Zurich , Zurich , Switzerland

13. Department of Internal Medicine/Cardiology, Heart Center Leipzig, University of Leipzig, Leipzig Heart Institute , 04289 Leipzig , Germany

Abstract

Abstract Aims Cardiac myosin-binding protein C (cMyC) demonstrated high diagnostic accuracy for the early detection of non-ST-elevation myocardial infarction (NSTEMI). Its dynamic release kinetics may enable a 0/1h-decision algorithm that is even more effective than the ESC hs-cTnT/I 0/1 h rule-in/rule-out algorithm. Methods and results In a prospective international diagnostic study enrolling patients presenting with suspected NSTEMI to the emergency department, cMyC was measured at presentation and after 1 h in a blinded fashion. Modelled on the ESC hs-cTnT/I 0/1h-algorithms, we derived a 0/1h-cMyC-algorithm. Final diagnosis of NSTEMI was centrally adjudicated according to the 4th Universal Definition of Myocardial Infarction. Among 1495 patients, the prevalence of NSTEMI was 17%. The optimal derived 0/1h-algorithm ruled-out NSTEMI with cMyC 0 h concentration below 10 ng/L (irrespective of chest pain onset) or 0 h cMyC concentrations below 18 ng/L and 0/1 h increase <4 ng/L. Rule-in occurred with 0 h cMyC concentrations of at least 140 ng/L or 0/1 h increase ≥15 ng/L. In the validation cohort (n = 663), the 0/1h-cMyC-algorithm classified 347 patients (52.3%) as ‘rule-out’, 122 (18.4%) as ‘rule-in’, and 194 (29.3%) as ‘observe’. Negative predictive value for NSTEMI was 99.6% [95% confidence interval (CI) 98.9–100%]; positive predictive value 71.1% (95% CI 63.1–79%). Direct comparison with the ESC hs-cTnT/I 0/1h-algorithms demonstrated comparable safety and even higher triage efficacy using the 0h-sample alone (48.1% vs. 21.2% for ESC hs-cTnT-0/1 h and 29.9% for ESC hs-cTnI-0/1 h; P < 0.001). Conclusion The cMyC 0/1h-algorithm provided excellent safety and identified a greater proportion of patients suitable for direct rule-out or rule-in based on a single measurement than the ESC 0/1h-algorithm using hs-cTnT/I. Trial registration ClinicalTrials.gov number, NCT00470587.

Funder

Swiss National Science Foundation

European Union

Swiss Heart Foundation

University of Basel

University Hospital Basel, Abbott, Brahms, Beckman Coulter, Quidel, Ortho Clinical Diagnostics, Roche, Singulex, and Siemens

Medical Research Council

Guy's and St Thomas' Charity

British Heart Foundation

UK Department of Health through the National Institute for Health Research Biomedical Research Centre

Guy’s & St Thomas’ National Health Service Foundation Trust

NIHR clinical lectureship

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Critical Care and Intensive Care Medicine,General Medicine

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