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Use of historical high-sensitivity cardiac troponin T levels to rule out myocardial infarction
OBJECTIVE: Several high-sensitivity cardiac troponin (hs-cTn)-based strategies exist for rule-out of myocardial infarction (MI). It is unknown whether historical hs-cTnT concentrations can be used. This study aim to evaluate the performance of a rule-out strategy based on the European Society of Car...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127977/ https://www.ncbi.nlm.nih.gov/pubmed/33990434 http://dx.doi.org/10.1136/openhrt-2021-001682 |
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author | Roos, Andreas Holzmann, Martin J |
author_facet | Roos, Andreas Holzmann, Martin J |
author_sort | Roos, Andreas |
collection | PubMed |
description | OBJECTIVE: Several high-sensitivity cardiac troponin (hs-cTn)-based strategies exist for rule-out of myocardial infarction (MI). It is unknown whether historical hs-cTnT concentrations can be used. This study aim to evaluate the performance of a rule-out strategy based on the European Society of Cardiology (ESC) 0/1-hour algorithm, using historical hs-cTnT concentrations. METHODS: All visits among patients with chest pain in the emergency department at nine different hospitals in Sweden from 2012 to 2016 were eligible (221 490 visits). We enrolled patients with a 0-hour hs-cTnT of <12 ng/L, a second hs-cTnT measured within 3.5 hours, and ≥1 historical hs-cTnT available. We calculated the risks of MI and all-cause mortality using two rule-out strategies: (1) a delta hs-cTnT of <3 ng/L between the 0-hour hs-cTnT and the second hs-cTnT (modified ESC algorithm) and (2) a historical hs-cTnT <12 ng/L and a delta hs-cTnT of <3 ng/L in relation to the 0-hour hs-cTnT (historical-hs-cTnT algorithm). RESULTS: A total of 8432 patients were included, of whom 84 (1.0%) had an MI. The modified ESC algorithm triaged 8100 (96%) patients toward ruled-out, for whom 30-day MI risk and negative predictive value (NPV) for MI (95% CI) were 0.4% (0.3% to 0.6%) and 99.6% (99.4% to 99.7%), respectively. The historical-hs-cTnT algorithm ruled out 6700 (80%) patients, with a 30-day MI risk of 0.5% (0.4% to 0.8%) and NPV of 99.5% (99.2% to 99.6%). CONCLUSIONS: The application of algorithm resulted in similar MI risk and NPV to an established algorithm. The usefulness of historical hs-cTnT concentrations should merit further attention. |
format | Online Article Text |
id | pubmed-8127977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-81279772021-05-26 Use of historical high-sensitivity cardiac troponin T levels to rule out myocardial infarction Roos, Andreas Holzmann, Martin J Open Heart Coronary Artery Disease OBJECTIVE: Several high-sensitivity cardiac troponin (hs-cTn)-based strategies exist for rule-out of myocardial infarction (MI). It is unknown whether historical hs-cTnT concentrations can be used. This study aim to evaluate the performance of a rule-out strategy based on the European Society of Cardiology (ESC) 0/1-hour algorithm, using historical hs-cTnT concentrations. METHODS: All visits among patients with chest pain in the emergency department at nine different hospitals in Sweden from 2012 to 2016 were eligible (221 490 visits). We enrolled patients with a 0-hour hs-cTnT of <12 ng/L, a second hs-cTnT measured within 3.5 hours, and ≥1 historical hs-cTnT available. We calculated the risks of MI and all-cause mortality using two rule-out strategies: (1) a delta hs-cTnT of <3 ng/L between the 0-hour hs-cTnT and the second hs-cTnT (modified ESC algorithm) and (2) a historical hs-cTnT <12 ng/L and a delta hs-cTnT of <3 ng/L in relation to the 0-hour hs-cTnT (historical-hs-cTnT algorithm). RESULTS: A total of 8432 patients were included, of whom 84 (1.0%) had an MI. The modified ESC algorithm triaged 8100 (96%) patients toward ruled-out, for whom 30-day MI risk and negative predictive value (NPV) for MI (95% CI) were 0.4% (0.3% to 0.6%) and 99.6% (99.4% to 99.7%), respectively. The historical-hs-cTnT algorithm ruled out 6700 (80%) patients, with a 30-day MI risk of 0.5% (0.4% to 0.8%) and NPV of 99.5% (99.2% to 99.6%). CONCLUSIONS: The application of algorithm resulted in similar MI risk and NPV to an established algorithm. The usefulness of historical hs-cTnT concentrations should merit further attention. BMJ Publishing Group 2021-05-14 /pmc/articles/PMC8127977/ /pubmed/33990434 http://dx.doi.org/10.1136/openhrt-2021-001682 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Coronary Artery Disease Roos, Andreas Holzmann, Martin J Use of historical high-sensitivity cardiac troponin T levels to rule out myocardial infarction |
title | Use of historical high-sensitivity cardiac troponin T levels to rule out myocardial infarction |
title_full | Use of historical high-sensitivity cardiac troponin T levels to rule out myocardial infarction |
title_fullStr | Use of historical high-sensitivity cardiac troponin T levels to rule out myocardial infarction |
title_full_unstemmed | Use of historical high-sensitivity cardiac troponin T levels to rule out myocardial infarction |
title_short | Use of historical high-sensitivity cardiac troponin T levels to rule out myocardial infarction |
title_sort | use of historical high-sensitivity cardiac troponin t levels to rule out myocardial infarction |
topic | Coronary Artery Disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127977/ https://www.ncbi.nlm.nih.gov/pubmed/33990434 http://dx.doi.org/10.1136/openhrt-2021-001682 |
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