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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
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.
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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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