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External validation of the Manchester Acute Coronary Syndromes ECG risk model within a pre-hospital setting

OBJECTIVES: The Manchester Acute Coronary Syndromes ECG (MACS-ECG) prediction model calculates a score based on objective ECG measurements to give the probability of a non-ST elevation myocardial infarction (NSTEMI). The model showed good performance in the emergency department (ED), but its accurac...

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Autores principales: Alotaibi, Ahmed, Alghamdi, Abdulrhman, Martin, Glen P, Carlton, Edward, Cooper, Jamie G, Cook, Eloïse, Siriwardena, Aloysius Niroshan, Phillips, John, Thompson, Alexander, Bell, Steve, Kirby, Kim Lucy, Rosser, Andy, Pennington, Elspeth, Body, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313997/
https://www.ncbi.nlm.nih.gov/pubmed/37068929
http://dx.doi.org/10.1136/emermed-2022-212872
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author Alotaibi, Ahmed
Alghamdi, Abdulrhman
Martin, Glen P
Carlton, Edward
Cooper, Jamie G
Cook, Eloïse
Siriwardena, Aloysius Niroshan
Phillips, John
Thompson, Alexander
Bell, Steve
Kirby, Kim Lucy
Rosser, Andy
Pennington, Elspeth
Body, Richard
author_facet Alotaibi, Ahmed
Alghamdi, Abdulrhman
Martin, Glen P
Carlton, Edward
Cooper, Jamie G
Cook, Eloïse
Siriwardena, Aloysius Niroshan
Phillips, John
Thompson, Alexander
Bell, Steve
Kirby, Kim Lucy
Rosser, Andy
Pennington, Elspeth
Body, Richard
author_sort Alotaibi, Ahmed
collection PubMed
description OBJECTIVES: The Manchester Acute Coronary Syndromes ECG (MACS-ECG) prediction model calculates a score based on objective ECG measurements to give the probability of a non-ST elevation myocardial infarction (NSTEMI). The model showed good performance in the emergency department (ED), but its accuracy in the pre-hospital setting is unknown. We aimed to externally validate MACS-ECG in the pre-hospital environment. METHODS: We undertook a secondary analysis from the Pre-hospital Evaluation of Sensitive Troponin (PRESTO) study, a multi-centre prospective study to validate decision aids in the pre-hospital setting (26 February 2019 to 23 March 2020). Patients with chest pain where the treating paramedic suspected acute coronary syndrome were included. Paramedics collected demographic and historical data and interpreted ECGs contemporaneously (as ‘normal’ or ‘abnormal’). After completing recruitment, we analysed ECGs to calculate the MACS-ECG score, using both a pre-defined threshold and a novel threshold that optimises sensitivity to differentiate AMI from non-AMI. This was compared with subjective ECG interpretation by paramedics. The diagnosis of AMI was adjudicated by two investigators based on serial troponin testing in hospital. RESULTS: Of 691 participants, 87 had type 1 AMI and 687 had complete data for paramedic ECG interpretation. The MACS-ECG model had a C-index of 0.68 (95% CI: 0.61 to 0.75). At the pre-determined cut-off, MACS-ECG had 2.3% (95% CI: 0.3% to 8.1%) sensitivity, 99.5% (95% CI: 98.6% to 99.9%) specificity, 40.0% (95% CI: 10.2% to 79.3%) positive predictive value (PPV) and 87.6% (87.3% to 88.0%) negative predictive value (NPV). At the optimal threshold for sensitivity, MACS-ECG had 50.6% sensitivity (39.6% to 61.5%), 83.1% specificity (79.9% to 86.0%), 30.1% PPV (24.7% to 36.2%) and 92.1% NPV (90.4% to 93.5%). In comparison, paramedics had a sensitivity of 71.3% (95% CI: 60.8% to 80.5%) with 53.8% (95% CI: 53.8% to 61.8%) specificity, 19.7% (17.2% to 22.45%) PPV and 93.3% (90.8% to 95.1%) NPV. CONCLUSION: Neither MACS-ECG nor paramedic ECG interpretation had a sufficiently high PPV or NPV to ‘rule in’ or ‘rule out’ NSTEMI alone.
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spelling pubmed-103139972023-07-02 External validation of the Manchester Acute Coronary Syndromes ECG risk model within a pre-hospital setting Alotaibi, Ahmed Alghamdi, Abdulrhman Martin, Glen P Carlton, Edward Cooper, Jamie G Cook, Eloïse Siriwardena, Aloysius Niroshan Phillips, John Thompson, Alexander Bell, Steve Kirby, Kim Lucy Rosser, Andy Pennington, Elspeth Body, Richard Emerg Med J Original Research OBJECTIVES: The Manchester Acute Coronary Syndromes ECG (MACS-ECG) prediction model calculates a score based on objective ECG measurements to give the probability of a non-ST elevation myocardial infarction (NSTEMI). The model showed good performance in the emergency department (ED), but its accuracy in the pre-hospital setting is unknown. We aimed to externally validate MACS-ECG in the pre-hospital environment. METHODS: We undertook a secondary analysis from the Pre-hospital Evaluation of Sensitive Troponin (PRESTO) study, a multi-centre prospective study to validate decision aids in the pre-hospital setting (26 February 2019 to 23 March 2020). Patients with chest pain where the treating paramedic suspected acute coronary syndrome were included. Paramedics collected demographic and historical data and interpreted ECGs contemporaneously (as ‘normal’ or ‘abnormal’). After completing recruitment, we analysed ECGs to calculate the MACS-ECG score, using both a pre-defined threshold and a novel threshold that optimises sensitivity to differentiate AMI from non-AMI. This was compared with subjective ECG interpretation by paramedics. The diagnosis of AMI was adjudicated by two investigators based on serial troponin testing in hospital. RESULTS: Of 691 participants, 87 had type 1 AMI and 687 had complete data for paramedic ECG interpretation. The MACS-ECG model had a C-index of 0.68 (95% CI: 0.61 to 0.75). At the pre-determined cut-off, MACS-ECG had 2.3% (95% CI: 0.3% to 8.1%) sensitivity, 99.5% (95% CI: 98.6% to 99.9%) specificity, 40.0% (95% CI: 10.2% to 79.3%) positive predictive value (PPV) and 87.6% (87.3% to 88.0%) negative predictive value (NPV). At the optimal threshold for sensitivity, MACS-ECG had 50.6% sensitivity (39.6% to 61.5%), 83.1% specificity (79.9% to 86.0%), 30.1% PPV (24.7% to 36.2%) and 92.1% NPV (90.4% to 93.5%). In comparison, paramedics had a sensitivity of 71.3% (95% CI: 60.8% to 80.5%) with 53.8% (95% CI: 53.8% to 61.8%) specificity, 19.7% (17.2% to 22.45%) PPV and 93.3% (90.8% to 95.1%) NPV. CONCLUSION: Neither MACS-ECG nor paramedic ECG interpretation had a sufficiently high PPV or NPV to ‘rule in’ or ‘rule out’ NSTEMI alone. BMJ Publishing Group 2023-06 2023-04-17 /pmc/articles/PMC10313997/ /pubmed/37068929 http://dx.doi.org/10.1136/emermed-2022-212872 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Alotaibi, Ahmed
Alghamdi, Abdulrhman
Martin, Glen P
Carlton, Edward
Cooper, Jamie G
Cook, Eloïse
Siriwardena, Aloysius Niroshan
Phillips, John
Thompson, Alexander
Bell, Steve
Kirby, Kim Lucy
Rosser, Andy
Pennington, Elspeth
Body, Richard
External validation of the Manchester Acute Coronary Syndromes ECG risk model within a pre-hospital setting
title External validation of the Manchester Acute Coronary Syndromes ECG risk model within a pre-hospital setting
title_full External validation of the Manchester Acute Coronary Syndromes ECG risk model within a pre-hospital setting
title_fullStr External validation of the Manchester Acute Coronary Syndromes ECG risk model within a pre-hospital setting
title_full_unstemmed External validation of the Manchester Acute Coronary Syndromes ECG risk model within a pre-hospital setting
title_short External validation of the Manchester Acute Coronary Syndromes ECG risk model within a pre-hospital setting
title_sort external validation of the manchester acute coronary syndromes ecg risk model within a pre-hospital setting
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313997/
https://www.ncbi.nlm.nih.gov/pubmed/37068929
http://dx.doi.org/10.1136/emermed-2022-212872
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