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Prediction of perioperative myocardial infarction/injury in high-risk patients after noncardiac surgery
AIMS: Perioperative myocardial infarction/injury (PMI) is a surprisingly common yet difficult-to-predict cardiac complication in patients undergoing noncardiac surgery. We aimed to assess the incremental value of preoperative cardiac troponin (cTn) concentration in the prediction of PMI. METHODS AND...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655147/ https://www.ncbi.nlm.nih.gov/pubmed/37548292 http://dx.doi.org/10.1093/ehjacc/zuad090 |
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author | Meister, Rebecca Puelacher, Christian Glarner, Noemi Gualandro, Danielle Menosi Andersson, Henrik A Pargger, Mirjam Huré, Gabrielle Virant, Georgiana Bolliger, Daniel Lampart, Andreas Steiner, Luzius Hidvegi, Reka Lurati Buse, Giovanna Kindler, Christoph Gürke, Lorenz Mujagic, Edin Schaeren, Stefan Clauss, Martin Lardinois, Didier Hammerer-Lercher, Angelika Chew, Michelle Mueller, Christian |
author_facet | Meister, Rebecca Puelacher, Christian Glarner, Noemi Gualandro, Danielle Menosi Andersson, Henrik A Pargger, Mirjam Huré, Gabrielle Virant, Georgiana Bolliger, Daniel Lampart, Andreas Steiner, Luzius Hidvegi, Reka Lurati Buse, Giovanna Kindler, Christoph Gürke, Lorenz Mujagic, Edin Schaeren, Stefan Clauss, Martin Lardinois, Didier Hammerer-Lercher, Angelika Chew, Michelle Mueller, Christian |
author_sort | Meister, Rebecca |
collection | PubMed |
description | AIMS: Perioperative myocardial infarction/injury (PMI) is a surprisingly common yet difficult-to-predict cardiac complication in patients undergoing noncardiac surgery. We aimed to assess the incremental value of preoperative cardiac troponin (cTn) concentration in the prediction of PMI. METHODS AND RESULTS: Among prospectively recruited patients at high cardiovascular risk (age ≥65 years or ≥45 years with preexisting cardiovascular disease), PMI was defined as an absolute increase in high-sensitivity cTnT (hs-cTnT) concentration of ≥14 ng/L (the 99th percentile) above the preoperative concentration. Perioperative myocardial infarction/injury was centrally adjudicated by two independent cardiologists using serial measurements of hs-cTnT. Using logistic regression, three models were derived: Model 1 including patient- and procedure-related information, Model 2 adding routinely available laboratory values, and Model 3 further adding preoperative hs-cTnT concentration. Models were also compared vs. preoperative hs-cTnT alone. The findings were validated in two independent cohorts. Among 6944 patients, PMI occurred in 1058 patients (15.2%). The predictive accuracy as quantified by the area under the receiver operating characteristic curve was 0.73 [95% confidence interval (CI) 0.71–0.74] for Model 1, 0.75 (95% CI 0.74–0.77) for Model 2, 0.79 (95% CI 0.77–0.80) for Model 3, and 0.74 for hs-cTnT alone. Model 3 included 10 preoperative variables: age, body mass index, known coronary artery disease, metabolic equivalent >4, risk of surgery, emergency surgery, planned duration of surgery, haemoglobin, platelet count, and hs-cTnT. These findings were confirmed in both independent validation cohorts (n = 722 and n = 966). CONCLUSION: Preoperative cTn adds incremental value above patient- and procedure-related variables as well as routine laboratory variables in the prediction of PMI. |
format | Online Article Text |
id | pubmed-10655147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106551472023-08-07 Prediction of perioperative myocardial infarction/injury in high-risk patients after noncardiac surgery Meister, Rebecca Puelacher, Christian Glarner, Noemi Gualandro, Danielle Menosi Andersson, Henrik A Pargger, Mirjam Huré, Gabrielle Virant, Georgiana Bolliger, Daniel Lampart, Andreas Steiner, Luzius Hidvegi, Reka Lurati Buse, Giovanna Kindler, Christoph Gürke, Lorenz Mujagic, Edin Schaeren, Stefan Clauss, Martin Lardinois, Didier Hammerer-Lercher, Angelika Chew, Michelle Mueller, Christian Eur Heart J Acute Cardiovasc Care Original Scientific Paper AIMS: Perioperative myocardial infarction/injury (PMI) is a surprisingly common yet difficult-to-predict cardiac complication in patients undergoing noncardiac surgery. We aimed to assess the incremental value of preoperative cardiac troponin (cTn) concentration in the prediction of PMI. METHODS AND RESULTS: Among prospectively recruited patients at high cardiovascular risk (age ≥65 years or ≥45 years with preexisting cardiovascular disease), PMI was defined as an absolute increase in high-sensitivity cTnT (hs-cTnT) concentration of ≥14 ng/L (the 99th percentile) above the preoperative concentration. Perioperative myocardial infarction/injury was centrally adjudicated by two independent cardiologists using serial measurements of hs-cTnT. Using logistic regression, three models were derived: Model 1 including patient- and procedure-related information, Model 2 adding routinely available laboratory values, and Model 3 further adding preoperative hs-cTnT concentration. Models were also compared vs. preoperative hs-cTnT alone. The findings were validated in two independent cohorts. Among 6944 patients, PMI occurred in 1058 patients (15.2%). The predictive accuracy as quantified by the area under the receiver operating characteristic curve was 0.73 [95% confidence interval (CI) 0.71–0.74] for Model 1, 0.75 (95% CI 0.74–0.77) for Model 2, 0.79 (95% CI 0.77–0.80) for Model 3, and 0.74 for hs-cTnT alone. Model 3 included 10 preoperative variables: age, body mass index, known coronary artery disease, metabolic equivalent >4, risk of surgery, emergency surgery, planned duration of surgery, haemoglobin, platelet count, and hs-cTnT. These findings were confirmed in both independent validation cohorts (n = 722 and n = 966). CONCLUSION: Preoperative cTn adds incremental value above patient- and procedure-related variables as well as routine laboratory variables in the prediction of PMI. Oxford University Press 2023-08-07 /pmc/articles/PMC10655147/ /pubmed/37548292 http://dx.doi.org/10.1093/ehjacc/zuad090 Text en © The Author(s) 2023. 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 Meister, Rebecca Puelacher, Christian Glarner, Noemi Gualandro, Danielle Menosi Andersson, Henrik A Pargger, Mirjam Huré, Gabrielle Virant, Georgiana Bolliger, Daniel Lampart, Andreas Steiner, Luzius Hidvegi, Reka Lurati Buse, Giovanna Kindler, Christoph Gürke, Lorenz Mujagic, Edin Schaeren, Stefan Clauss, Martin Lardinois, Didier Hammerer-Lercher, Angelika Chew, Michelle Mueller, Christian Prediction of perioperative myocardial infarction/injury in high-risk patients after noncardiac surgery |
title | Prediction of perioperative myocardial infarction/injury in high-risk patients after noncardiac surgery |
title_full | Prediction of perioperative myocardial infarction/injury in high-risk patients after noncardiac surgery |
title_fullStr | Prediction of perioperative myocardial infarction/injury in high-risk patients after noncardiac surgery |
title_full_unstemmed | Prediction of perioperative myocardial infarction/injury in high-risk patients after noncardiac surgery |
title_short | Prediction of perioperative myocardial infarction/injury in high-risk patients after noncardiac surgery |
title_sort | prediction of perioperative myocardial infarction/injury in high-risk patients after noncardiac surgery |
topic | Original Scientific Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655147/ https://www.ncbi.nlm.nih.gov/pubmed/37548292 http://dx.doi.org/10.1093/ehjacc/zuad090 |
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