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A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173679/ https://www.ncbi.nlm.nih.gov/pubmed/35149868 http://dx.doi.org/10.1093/ehjacc/zuac007 |
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author | Kaier, Thomas E Twerenbold, Raphael Lopez-Ayala, Pedro Nestelberger, Thomas Boeddinghaus, Jasper Alaour, Bashir Huber, Iris-Martina Zhi, Yuan Koechlin, Luca Wussler, Desiree Wildi, Karin Shrestha, Samyut Strebel, Ivo Miro, Oscar Martín-Sánchez, Javier F Christ, Michael Kawecki, Damien Keller, Dagmar I Rubini Gimenez, Maria Marber, Michael Mueller, Christian |
author_facet | Kaier, Thomas E Twerenbold, Raphael Lopez-Ayala, Pedro Nestelberger, Thomas Boeddinghaus, Jasper Alaour, Bashir Huber, Iris-Martina Zhi, Yuan Koechlin, Luca Wussler, Desiree Wildi, Karin Shrestha, Samyut Strebel, Ivo Miro, Oscar Martín-Sánchez, Javier F Christ, Michael Kawecki, Damien Keller, Dagmar I Rubini Gimenez, Maria Marber, Michael Mueller, Christian |
author_sort | Kaier, Thomas E |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9173679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91736792022-06-08 A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction Kaier, Thomas E Twerenbold, Raphael Lopez-Ayala, Pedro Nestelberger, Thomas Boeddinghaus, Jasper Alaour, Bashir Huber, Iris-Martina Zhi, Yuan Koechlin, Luca Wussler, Desiree Wildi, Karin Shrestha, Samyut Strebel, Ivo Miro, Oscar Martín-Sánchez, Javier F Christ, Michael Kawecki, Damien Keller, Dagmar I Rubini Gimenez, Maria Marber, Michael Mueller, Christian Eur Heart J Acute Cardiovasc Care Original Scientific Paper 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. Oxford University Press 2022-02-12 /pmc/articles/PMC9173679/ /pubmed/35149868 http://dx.doi.org/10.1093/ehjacc/zuac007 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Scientific Paper Kaier, Thomas E Twerenbold, Raphael Lopez-Ayala, Pedro Nestelberger, Thomas Boeddinghaus, Jasper Alaour, Bashir Huber, Iris-Martina Zhi, Yuan Koechlin, Luca Wussler, Desiree Wildi, Karin Shrestha, Samyut Strebel, Ivo Miro, Oscar Martín-Sánchez, Javier F Christ, Michael Kawecki, Damien Keller, Dagmar I Rubini Gimenez, Maria Marber, Michael Mueller, Christian A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction |
title | A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction |
title_full | A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction |
title_fullStr | A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction |
title_full_unstemmed | A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction |
title_short | A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction |
title_sort | 0/1h-algorithm using cardiac myosin-binding protein c for early diagnosis of myocardial infarction |
topic | Original Scientific Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173679/ https://www.ncbi.nlm.nih.gov/pubmed/35149868 http://dx.doi.org/10.1093/ehjacc/zuac007 |
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