Classification performance of clinical risk scoring in suspected acute coronary syndrome beyond a rule-out troponin profile

Author:

Khan Ehsan12ORCID,Lambrakis Kristina12,Blyth Andrew12,Seshadri Anil12,Edmonds Michael J R2,Briffa Tom3,Cullen Louise A456,Quinn Stephen78,Horsfall Matthew12,Morton Erin1,French John K9,Papendick Cynthia3,Nelson Adam J21011,Chew Derek P123

Affiliation:

1. College of Medicine & Public Health, Flinders University, Sturt Road, Bedford Park, SA 5042, Australia

2. South Australian Department of Health, 11 Hindmarsh Square, Adelaide, SA 5000, Australia

3. School of Population and Global Health, University of Western Australia, Clifton Street, Nedlands, Perth, WA 6009, Australia

4. Emergency and Trauma Centre, Royal Brisbane and Women’s Hospital, Butterfield Street, Herston, Brisbane, QLD 4029, Australia

5. School of Public Health, Queensland University of Technology, George Street, Brisbane, QLD 4000, Australia

6. School of Medicine, University of Queensland, St Lucia, Brisbane, QLD 4072, Australia

7. Department of Statistics, Swinburne University of Technology, John Street, Hawthorne, Melbourne, VIC 3122, Australia

8. Department of Health Science and Biostatistics, Swinburne University of Technology, John Street, Hawthorne, Melbourne, VIC 3122, Australia

9. Department of Cardiology, Liverpool Hospital, Elizabeth & Goulburn Street, Liverpool, Sydney, NSW 2170, Australia

10. South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA 5000, Australia

11. School of Medicine, University of Adelaide, North Terrrace, Adelaide, SA 5000, Australia

Abstract

Abstract Aims 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. Methods and results 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. Conclusions 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. Clinical trials registration URL: https://www.anzctr.org.au. Reg. No. ACTRN12615001379505.

Funder

National Health and Medical Research Council of Australia

Roche Diagnostics International

Royal Australian College of Physicians Research Entry Scholarship

Roche Diagnostics

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Critical Care and Intensive Care Medicine,General Medicine

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