Classification performance of clinical risk scoring in suspected acute coronary syndrome beyond a rule-out troponin profile
High-sensitivity cardiac troponin strategies can provide risk stratification in patients with suspected acute coronary syndrome (ACS) in the emergency department (ED). This study evaluated whether clinical risk scoring improves the classification performance of a rule-out profile in suspected ACS. P...
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Published in | European heart journal. Acute cardiovascular care Vol. 10; no. 9; pp. 1038 - 1047 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
06.12.2021
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Subjects | |
Online Access | Get full text |
ISSN | 2048-8726 2048-8734 2048-8734 |
DOI | 10.1093/ehjacc/zuab040 |
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Abstract | High-sensitivity cardiac troponin strategies can provide risk stratification in patients with suspected acute coronary syndrome (ACS) in the emergency department (ED). This study evaluated whether clinical risk scoring improves the classification performance of a rule-out profile in suspected ACS.
Patients presenting to ED with suspected ACS as part of the RAPID-TnT trial randomized to the intervention arm were included. Results ≥5 ng/L were available for all participants in this analysis. We evaluated the Thrombolysis In Myocardial Infarction (TIMI) risk score, History ECG Age Risk factors Troponin (HEART) score, and Emergency Department Assessment of Chest pain Score (EDACS) in addition to a rule-out profile based on the 0/1-h high-sensitivity cardiac troponin T protocol (<5 ng/L or ≤12 ng/L and a change of <3 ng/L at 1-h) using test performance parameters focusing on low-risk groups to identify the primary endpoint (TIMI ≤ 1, HEART ≤ 3, EDACS < 16). Primary endpoint was a composite of type 1/2 myocardial infarction (MI) at index presentation and all-cause mortality or type 1/2 MI at 30 days. A total of 3378 participants were enrolled between August 2015 and April 2019 of which 108 were ineligible/withdrew consent (intervention arm: n = 1638). Sensitivity, specificity, negative predictive value (NPV), and area under the curve (AUC) of the rule-out profile was 94.4%, 76.8%, 99.6%, and 0.86, respectively with 72.9% identified as 'low-risk'. Adding the clinical risk scores did not improve the sensitivity, NPV, or AUC with significantly lower specificity and 'low-risk' classified participants.
Addition of clinical risk scores to rule-out profile did not demonstrate improved classification performance for identifying the composite of type 1/2 MI at index presentation and all-cause mortality or type 1/2 MI at 30 days.
URL: https://www.anzctr.org.au. Reg. No. ACTRN12615001379505. |
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AbstractList | High-sensitivity cardiac troponin strategies can provide risk stratification in patients with suspected acute coronary syndrome (ACS) in the emergency department (ED). This study evaluated whether clinical risk scoring improves the classification performance of a rule-out profile in suspected ACS.AIMSHigh-sensitivity cardiac troponin strategies can provide risk stratification in patients with suspected acute coronary syndrome (ACS) in the emergency department (ED). This study evaluated whether clinical risk scoring improves the classification performance of a rule-out profile in suspected ACS.Patients presenting to ED with suspected ACS as part of the RAPID-TnT trial randomized to the intervention arm were included. Results ≥5 ng/L were available for all participants in this analysis. We evaluated the Thrombolysis In Myocardial Infarction (TIMI) risk score, History ECG Age Risk factors Troponin (HEART) score, and Emergency Department Assessment of Chest pain Score (EDACS) in addition to a rule-out profile based on the 0/1-h high-sensitivity cardiac troponin T protocol (<5 ng/L or ≤12 ng/L and a change of <3 ng/L at 1-h) using test performance parameters focusing on low-risk groups to identify the primary endpoint (TIMI ≤ 1, HEART ≤ 3, EDACS < 16). Primary endpoint was a composite of type 1/2 myocardial infarction (MI) at index presentation and all-cause mortality or type 1/2 MI at 30 days. A total of 3378 participants were enrolled between August 2015 and April 2019 of which 108 were ineligible/withdrew consent (intervention arm: n = 1638). Sensitivity, specificity, negative predictive value (NPV), and area under the curve (AUC) of the rule-out profile was 94.4%, 76.8%, 99.6%, and 0.86, respectively with 72.9% identified as 'low-risk'. Adding the clinical risk scores did not improve the sensitivity, NPV, or AUC with significantly lower specificity and 'low-risk' classified participants.METHODS AND RESULTSPatients presenting to ED with suspected ACS as part of the RAPID-TnT trial randomized to the intervention arm were included. Results ≥5 ng/L were available for all participants in this analysis. We evaluated the Thrombolysis In Myocardial Infarction (TIMI) risk score, History ECG Age Risk factors Troponin (HEART) score, and Emergency Department Assessment of Chest pain Score (EDACS) in addition to a rule-out profile based on the 0/1-h high-sensitivity cardiac troponin T protocol (<5 ng/L or ≤12 ng/L and a change of <3 ng/L at 1-h) using test performance parameters focusing on low-risk groups to identify the primary endpoint (TIMI ≤ 1, HEART ≤ 3, EDACS < 16). Primary endpoint was a composite of type 1/2 myocardial infarction (MI) at index presentation and all-cause mortality or type 1/2 MI at 30 days. A total of 3378 participants were enrolled between August 2015 and April 2019 of which 108 were ineligible/withdrew consent (intervention arm: n = 1638). Sensitivity, specificity, negative predictive value (NPV), and area under the curve (AUC) of the rule-out profile was 94.4%, 76.8%, 99.6%, and 0.86, respectively with 72.9% identified as 'low-risk'. Adding the clinical risk scores did not improve the sensitivity, NPV, or AUC with significantly lower specificity and 'low-risk' classified participants.Addition of clinical risk scores to rule-out profile did not demonstrate improved classification performance for identifying the composite of type 1/2 MI at index presentation and all-cause mortality or type 1/2 MI at 30 days.CONCLUSIONSAddition of clinical risk scores to rule-out profile did not demonstrate improved classification performance for identifying the composite of type 1/2 MI at index presentation and all-cause mortality or type 1/2 MI at 30 days.URL: https://www.anzctr.org.au. Reg. No. ACTRN12615001379505.CLINICAL TRIALS REGISTRATIONURL: https://www.anzctr.org.au. Reg. No. ACTRN12615001379505. High-sensitivity cardiac troponin strategies can provide risk stratification in patients with suspected acute coronary syndrome (ACS) in the emergency department (ED). This study evaluated whether clinical risk scoring improves the classification performance of a rule-out profile in suspected ACS. Patients presenting to ED with suspected ACS as part of the RAPID-TnT trial randomized to the intervention arm were included. Results ≥5 ng/L were available for all participants in this analysis. We evaluated the Thrombolysis In Myocardial Infarction (TIMI) risk score, History ECG Age Risk factors Troponin (HEART) score, and Emergency Department Assessment of Chest pain Score (EDACS) in addition to a rule-out profile based on the 0/1-h high-sensitivity cardiac troponin T protocol (<5 ng/L or ≤12 ng/L and a change of <3 ng/L at 1-h) using test performance parameters focusing on low-risk groups to identify the primary endpoint (TIMI ≤ 1, HEART ≤ 3, EDACS < 16). Primary endpoint was a composite of type 1/2 myocardial infarction (MI) at index presentation and all-cause mortality or type 1/2 MI at 30 days. A total of 3378 participants were enrolled between August 2015 and April 2019 of which 108 were ineligible/withdrew consent (intervention arm: n = 1638). Sensitivity, specificity, negative predictive value (NPV), and area under the curve (AUC) of the rule-out profile was 94.4%, 76.8%, 99.6%, and 0.86, respectively with 72.9% identified as 'low-risk'. Adding the clinical risk scores did not improve the sensitivity, NPV, or AUC with significantly lower specificity and 'low-risk' classified participants. Addition of clinical risk scores to rule-out profile did not demonstrate improved classification performance for identifying the composite of type 1/2 MI at index presentation and all-cause mortality or type 1/2 MI at 30 days. URL: https://www.anzctr.org.au. Reg. No. ACTRN12615001379505. |
Author | Papendick, Cynthia Briffa, Tom Lambrakis, Kristina Blyth, Andrew Nelson, Adam J Quinn, Stephen Khan, Ehsan Seshadri, Anil Chew, Derek P Horsfall, Matthew Morton, Erin Edmonds, Michael J R Cullen, Louise A French, John K |
Author_xml | – sequence: 1 givenname: Ehsan orcidid: 0000-0002-4544-4559 surname: Khan fullname: Khan, Ehsan organization: College of Medicine & Public Health, Flinders University, Sturt Road, Bedford Park, SA 5042, Australia, South Australian Department of Health, 11 Hindmarsh Square, Adelaide, SA 5000, Australia – sequence: 2 givenname: Kristina surname: Lambrakis fullname: Lambrakis, Kristina organization: College of Medicine & Public Health, Flinders University, Sturt Road, Bedford Park, SA 5042, Australia, South Australian Department of Health, 11 Hindmarsh Square, Adelaide, SA 5000, Australia – sequence: 3 givenname: Andrew surname: Blyth fullname: Blyth, Andrew organization: College of Medicine & Public Health, Flinders University, Sturt Road, Bedford Park, SA 5042, Australia, South Australian Department of Health, 11 Hindmarsh Square, Adelaide, SA 5000, Australia – sequence: 4 givenname: Anil surname: Seshadri fullname: Seshadri, Anil organization: College of Medicine & Public Health, Flinders University, Sturt Road, Bedford Park, SA 5042, Australia, South Australian Department of Health, 11 Hindmarsh Square, Adelaide, SA 5000, Australia – sequence: 5 givenname: Michael J R surname: Edmonds fullname: Edmonds, Michael J R organization: South Australian Department of Health, 11 Hindmarsh Square, Adelaide, SA 5000, Australia – sequence: 6 givenname: Tom surname: Briffa fullname: Briffa, Tom organization: School of Population and Global Health, University of Western Australia, Clifton Street, Nedlands, Perth, WA 6009, Australia – sequence: 7 givenname: Louise A surname: Cullen fullname: Cullen, Louise A organization: Emergency and Trauma Centre, Royal Brisbane and Women’s Hospital, Butterfield Street, Herston, Brisbane, QLD 4029, Australia, School of Public Health, Queensland University of Technology, George Street, Brisbane, QLD 4000, Australia, School of Medicine, University of Queensland, St Lucia, Brisbane, QLD 4072, Australia – sequence: 8 givenname: Stephen surname: Quinn fullname: Quinn, Stephen organization: Department of Statistics, Swinburne University of Technology, John Street, Hawthorne, Melbourne, VIC 3122, Australia, Department of Health Science and Biostatistics, Swinburne University of Technology, John Street, Hawthorne, Melbourne, VIC 3122, Australia – sequence: 9 givenname: Matthew surname: Horsfall fullname: Horsfall, Matthew organization: College of Medicine & Public Health, Flinders University, Sturt Road, Bedford Park, SA 5042, Australia, South Australian Department of Health, 11 Hindmarsh Square, Adelaide, SA 5000, Australia – sequence: 10 givenname: Erin surname: Morton fullname: Morton, Erin organization: College of Medicine & Public Health, Flinders University, Sturt Road, Bedford Park, SA 5042, Australia – sequence: 11 givenname: John K surname: French fullname: French, John K organization: Department of Cardiology, Liverpool Hospital, Elizabeth & Goulburn Street, Liverpool, Sydney, NSW 2170, Australia – sequence: 12 givenname: Cynthia surname: Papendick fullname: Papendick, Cynthia organization: School of Population and Global Health, University of Western Australia, Clifton Street, Nedlands, Perth, WA 6009, Australia – sequence: 13 givenname: Adam J surname: Nelson fullname: Nelson, Adam J organization: South Australian Department of Health, 11 Hindmarsh Square, Adelaide, SA 5000, Australia, South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA 5000, Australia, School of Medicine, University of Adelaide, North Terrrace, Adelaide, SA 5000, Australia – sequence: 14 givenname: Derek P surname: Chew fullname: Chew, Derek P organization: College of Medicine & Public Health, Flinders University, Sturt Road, Bedford Park, SA 5042, Australia, South Australian Department of Health, 11 Hindmarsh Square, Adelaide, SA 5000, Australia, School of Population and Global Health, University of Western Australia, Clifton Street, Nedlands, Perth, WA 6009, Australia |
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CitedBy_id | crossref_primary_10_1093_ehjacc_zuac120 crossref_primary_10_1080_10408363_2023_2235426 crossref_primary_10_3390_jcdd11100318 crossref_primary_10_1016_j_jemermed_2024_11_022 crossref_primary_10_1016_j_ijcard_2023_131573 crossref_primary_10_1016_j_jacc_2022_03_380 crossref_primary_10_1016_j_cjca_2022_12_028 crossref_primary_10_1016_j_ijcha_2022_101043 crossref_primary_10_1001_jamanetworkopen_2022_26809 |
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Keywords | Myocardial infarction Clinical trial Risk prediction Troponin Acute coronary syndromes Chest pain assessment |
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Snippet | High-sensitivity cardiac troponin strategies can provide risk stratification in patients with suspected acute coronary syndrome (ACS) in the emergency... |
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SubjectTerms | Acute Coronary Syndrome - diagnosis Biomarkers Chest Pain - diagnosis Chest Pain - etiology Emergency Service, Hospital Humans Myocardial Infarction - diagnosis Prospective Studies Risk Assessment Troponin Troponin T |
Title | Classification performance of clinical risk scoring in suspected acute coronary syndrome beyond a rule-out troponin profile |
URI | https://www.ncbi.nlm.nih.gov/pubmed/34195809 https://www.proquest.com/docview/2547546977 |
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