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Accuracy of Physicians in Differentiating Type 1 and Type 2 Myocardial Infarction Based on Clinical Information

BACKGROUND: Physicians commonly judge whether a myocardial infarction (MI) is type 1 (thrombotic) vs type 2 (supply/demand mismatch) based on clinical information. Little is known about the accuracy of physicians’ clinical judgement in this regard. We aimed to determine the accuracy of physicians’ j...

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Autores principales: Borges, Flavia K., Sheth, Tej, Patel, Ameen, Marcucci, Maura, Yung, Terence, Langer, Thomas, Alboim, Carolina, Polanczyk, Carisi Anne, Germini, Federico, Azeredo-da-Silva, Andre Ferreira, Sloan, Erin, Kaila, Kendeep, Ree, Ron, Bertoletti, Alessandra, Vedovati, Maria Cristina, Galzerano, Antonio, Spence, Jessica, Devereaux, P.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711010/
https://www.ncbi.nlm.nih.gov/pubmed/33305218
http://dx.doi.org/10.1016/j.cjco.2020.07.009
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author Borges, Flavia K.
Sheth, Tej
Patel, Ameen
Marcucci, Maura
Yung, Terence
Langer, Thomas
Alboim, Carolina
Polanczyk, Carisi Anne
Germini, Federico
Azeredo-da-Silva, Andre Ferreira
Sloan, Erin
Kaila, Kendeep
Ree, Ron
Bertoletti, Alessandra
Vedovati, Maria Cristina
Galzerano, Antonio
Spence, Jessica
Devereaux, P.J.
author_facet Borges, Flavia K.
Sheth, Tej
Patel, Ameen
Marcucci, Maura
Yung, Terence
Langer, Thomas
Alboim, Carolina
Polanczyk, Carisi Anne
Germini, Federico
Azeredo-da-Silva, Andre Ferreira
Sloan, Erin
Kaila, Kendeep
Ree, Ron
Bertoletti, Alessandra
Vedovati, Maria Cristina
Galzerano, Antonio
Spence, Jessica
Devereaux, P.J.
author_sort Borges, Flavia K.
collection PubMed
description BACKGROUND: Physicians commonly judge whether a myocardial infarction (MI) is type 1 (thrombotic) vs type 2 (supply/demand mismatch) based on clinical information. Little is known about the accuracy of physicians’ clinical judgement in this regard. We aimed to determine the accuracy of physicians’ judgement in the classification of type 1 vs type 2 MI in perioperative and nonoperative settings. METHODS: We performed an online survey using cases from the Optical Coherence Tomographic Imaging of Thrombus (OPTIMUS) Study, which investigated the prevalence of a culprit lesion thrombus based on intracoronary optical coherence tomography (OCT) in patients experiencing MI. Four MI cases, 2 perioperative and 2 nonoperative, were selected randomly, stratified by etiology. Physicians were provided with the patient’s medical history, laboratory parameters, and electrocardiograms. Physicians did not have access to intracoronary OCT results. The primary outcome was the accuracy of physicians' judgement of MI etiology, measured as raw agreement between physicians and intracoronary OCT findings. Fleiss’ kappa and Gwet’s AC1 were calculated to correct for chance. RESULTS: The response rate was 57% (308 of 536). Respondents were 62% male; median age was 45 years (standard deviation ± 11); 45% had been in practice for > 15 years. Respondents’ overall accuracy for MI etiology was 60% (95% confidence interval [CI] 57%-63%), including 63% (95% CI 60%-68%) for nonoperative cases, and 56% (95% CI 52%-60%) for perioperative cases. Overall chance-corrected agreement was poor (kappa = 0.05), consistent across specialties and clinical scenarios. CONCLUSIONS: Physician accuracy in determining MI etiology based on clinical information is poor. Physicians should consider results from other testing, such as invasive coronary angiography, when determining MI etiology.
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spelling pubmed-77110102020-12-09 Accuracy of Physicians in Differentiating Type 1 and Type 2 Myocardial Infarction Based on Clinical Information Borges, Flavia K. Sheth, Tej Patel, Ameen Marcucci, Maura Yung, Terence Langer, Thomas Alboim, Carolina Polanczyk, Carisi Anne Germini, Federico Azeredo-da-Silva, Andre Ferreira Sloan, Erin Kaila, Kendeep Ree, Ron Bertoletti, Alessandra Vedovati, Maria Cristina Galzerano, Antonio Spence, Jessica Devereaux, P.J. CJC Open Original Article BACKGROUND: Physicians commonly judge whether a myocardial infarction (MI) is type 1 (thrombotic) vs type 2 (supply/demand mismatch) based on clinical information. Little is known about the accuracy of physicians’ clinical judgement in this regard. We aimed to determine the accuracy of physicians’ judgement in the classification of type 1 vs type 2 MI in perioperative and nonoperative settings. METHODS: We performed an online survey using cases from the Optical Coherence Tomographic Imaging of Thrombus (OPTIMUS) Study, which investigated the prevalence of a culprit lesion thrombus based on intracoronary optical coherence tomography (OCT) in patients experiencing MI. Four MI cases, 2 perioperative and 2 nonoperative, were selected randomly, stratified by etiology. Physicians were provided with the patient’s medical history, laboratory parameters, and electrocardiograms. Physicians did not have access to intracoronary OCT results. The primary outcome was the accuracy of physicians' judgement of MI etiology, measured as raw agreement between physicians and intracoronary OCT findings. Fleiss’ kappa and Gwet’s AC1 were calculated to correct for chance. RESULTS: The response rate was 57% (308 of 536). Respondents were 62% male; median age was 45 years (standard deviation ± 11); 45% had been in practice for > 15 years. Respondents’ overall accuracy for MI etiology was 60% (95% confidence interval [CI] 57%-63%), including 63% (95% CI 60%-68%) for nonoperative cases, and 56% (95% CI 52%-60%) for perioperative cases. Overall chance-corrected agreement was poor (kappa = 0.05), consistent across specialties and clinical scenarios. CONCLUSIONS: Physician accuracy in determining MI etiology based on clinical information is poor. Physicians should consider results from other testing, such as invasive coronary angiography, when determining MI etiology. Elsevier 2020-07-17 /pmc/articles/PMC7711010/ /pubmed/33305218 http://dx.doi.org/10.1016/j.cjco.2020.07.009 Text en © 2020 Canadian Cardiovascular Society. Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Borges, Flavia K.
Sheth, Tej
Patel, Ameen
Marcucci, Maura
Yung, Terence
Langer, Thomas
Alboim, Carolina
Polanczyk, Carisi Anne
Germini, Federico
Azeredo-da-Silva, Andre Ferreira
Sloan, Erin
Kaila, Kendeep
Ree, Ron
Bertoletti, Alessandra
Vedovati, Maria Cristina
Galzerano, Antonio
Spence, Jessica
Devereaux, P.J.
Accuracy of Physicians in Differentiating Type 1 and Type 2 Myocardial Infarction Based on Clinical Information
title Accuracy of Physicians in Differentiating Type 1 and Type 2 Myocardial Infarction Based on Clinical Information
title_full Accuracy of Physicians in Differentiating Type 1 and Type 2 Myocardial Infarction Based on Clinical Information
title_fullStr Accuracy of Physicians in Differentiating Type 1 and Type 2 Myocardial Infarction Based on Clinical Information
title_full_unstemmed Accuracy of Physicians in Differentiating Type 1 and Type 2 Myocardial Infarction Based on Clinical Information
title_short Accuracy of Physicians in Differentiating Type 1 and Type 2 Myocardial Infarction Based on Clinical Information
title_sort accuracy of physicians in differentiating type 1 and type 2 myocardial infarction based on clinical information
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711010/
https://www.ncbi.nlm.nih.gov/pubmed/33305218
http://dx.doi.org/10.1016/j.cjco.2020.07.009
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