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Clinical decision aids and computed tomography coronary angiography in patients with suspected acute coronary syndrome.
Emerg Med J. 2024 Jul 22; 41(8):488-494.EM

Abstract

BACKGROUND

The HEART score, the T-MACS model and the GRACE score support early decision-making for acute chest pain, which could be complemented by CT coronary angiography (CTCA). However, their performance has not been directly compared.

METHODS

In this secondary analysis of a multicentre randomised controlled trial of early CTCA in intermediate-risk patients with suspected acute coronary syndrome, C-statistics and performance metrics (using the predefined cut-offs) of clinical decision aids and CTCA, alone and then in combination, for the index hospital diagnosis of acute coronary syndrome and for 30-day coronary revascularisation were assessed in those who underwent CTCA and had complete data.

RESULTS

Among 699 patients, 358 (51%) had an index hospital diagnosis of acute coronary syndrome, for which the C-statistic was higher for CTCA (0.80), followed by the T-MACS model (0.78), the HEART score (0.74) and the GRACE score (0.60). The negative predictive value was higher for the absence of coronary artery disease on CTCA (0.90) or a T-MACS estimate of <0.05 (0.83) than a HEART score of <4 (0.81) and a GRACE score of <109 (0.55). For 30-day coronary revascularisation, CTCA had the greatest C-statistic (0.80) with a negative predictive value of 0.96 and 0.92 in the absence of coronary artery disease and obstructive coronary artery disease, respectively. The combination of the T-MACS estimates and the CTCA findings was most discriminative for the index hospital diagnosis of acute coronary syndrome (C-statistic, 0.88) and predictive of 30-day coronary revascularisation (C-statistic, 0.85). No patients with a T-MACS estimate of <0.05 and normal coronary arteries had acute coronary syndrome during index hospitalisation or underwent coronary revascularisation within 30 days.

CONCLUSIONS

In intermediate-risk patients with suspected acute coronary syndrome, the T-MACS model combined with CTCA improved discrimination of the index hospital diagnosis of acute coronary syndrome and prediction of 30-day coronary revascularisation.

TRIAL REGISTRATION NUMBER

NCT02284191.

Authors+Show Affiliations

Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK k.l.wang@ed.ac.uk. School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. General Clinical Research Center, Taipei Veterans General Hospital, Taipei, Taiwan.Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK. Department of Cardiology, Royal Infirmary of Edinburgh, Edinburgh, UK.Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.EMERGE (Emergency Medicine Research Group, Edinburgh), Royal Infirmary of Edinburgh, Edinburgh, UK.Edinburgh Clinical Trials Unit, University of Edinburgh, Edinburgh, UK.Department of Emergency Medicine, Royal Berkshire NHS Foundation Trust, Reading, UK.Division of Clinical Medicine, University of Sheffield, Sheffield, UK. NIHR Sheffield Biomedical Research Centre, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.Department of Cardiology, Torbay and South Devon NHS Foundation Trust, Torquay, UK.Faculty of Medicine, University of Southampton, Southampton, UK. Department of Cardiology, University Hospital Southampton NHS Foundation Trust, Southampton, UK.TCRG (Translational Cardiovascular Research Group), Milton Keynes University Hospital NHS Foundation Trust, Milton Keynes, UK.Department of Radiology, University Hospitals Plymouth NHS Trust, Plymouth, UK.Emergency Department, University Hospitals Plymouth NHS Trust, Plymouth, UK.School of Health and Related Research, University of Sheffield, Sheffield, UK.Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.EMERGE (Emergency Medicine Research Group, Edinburgh), Royal Infirmary of Edinburgh, Edinburgh, UK. Usher Institute, University of Edinburgh, Edinburgh, UK.No affiliation info available

Pub Type(s)

Journal Article
Randomized Controlled Trial
Multicenter Study

Language

eng

PubMed ID

38857986

Citation

Wang, Kang-Ling, et al. "Clinical Decision Aids and Computed Tomography Coronary Angiography in Patients With Suspected Acute Coronary Syndrome." Emergency Medicine Journal : EMJ, vol. 41, no. 8, 2024, pp. 488-494.
Wang KL, Taggart C, McDermott M, et al. Clinical decision aids and computed tomography coronary angiography in patients with suspected acute coronary syndrome. Emerg Med J. 2024;41(8):488-494.
Wang, K. L., Taggart, C., McDermott, M., O'Brien, R., Oatey, K., Keating, L., Storey, R. F., Felmeden, D., Curzen, N., Kardos, A., Roobottom, C., Smith, J., Goodacre, S., Newby, D. E., & Gray, A. J. (2024). Clinical decision aids and computed tomography coronary angiography in patients with suspected acute coronary syndrome. Emergency Medicine Journal : EMJ, 41(8), 488-494. https://doi.org/10.1136/emermed-2024-213904
Wang KL, et al. Clinical Decision Aids and Computed Tomography Coronary Angiography in Patients With Suspected Acute Coronary Syndrome. Emerg Med J. 2024 Jul 22;41(8):488-494. PubMed PMID: 38857986.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Clinical decision aids and computed tomography coronary angiography in patients with suspected acute coronary syndrome. AU - Wang,Kang-Ling, AU - Taggart,Caelan, AU - McDermott,Michael, AU - O'Brien,Rachel, AU - Oatey,Katherine, AU - Keating,Liza, AU - Storey,Robert F, AU - Felmeden,Dirk, AU - Curzen,Nick, AU - Kardos,Attila, AU - Roobottom,Carl, AU - Smith,Jason, AU - Goodacre,Steve, AU - Newby,David E, AU - Gray,Alasdair J, AU - ,, Y1 - 2024/07/22/ PY - 2024/01/11/received PY - 2024/05/16/accepted PY - 2024/7/23/medline PY - 2024/6/11/pubmed PY - 2024/6/10/entrez KW - clinical SP - 488 EP - 494 JF - Emergency medicine journal : EMJ JO - Emerg Med J VL - 41 IS - 8 N2 - BACKGROUND: The HEART score, the T-MACS model and the GRACE score support early decision-making for acute chest pain, which could be complemented by CT coronary angiography (CTCA). However, their performance has not been directly compared. METHODS: In this secondary analysis of a multicentre randomised controlled trial of early CTCA in intermediate-risk patients with suspected acute coronary syndrome, C-statistics and performance metrics (using the predefined cut-offs) of clinical decision aids and CTCA, alone and then in combination, for the index hospital diagnosis of acute coronary syndrome and for 30-day coronary revascularisation were assessed in those who underwent CTCA and had complete data. RESULTS: Among 699 patients, 358 (51%) had an index hospital diagnosis of acute coronary syndrome, for which the C-statistic was higher for CTCA (0.80), followed by the T-MACS model (0.78), the HEART score (0.74) and the GRACE score (0.60). The negative predictive value was higher for the absence of coronary artery disease on CTCA (0.90) or a T-MACS estimate of <0.05 (0.83) than a HEART score of <4 (0.81) and a GRACE score of <109 (0.55). For 30-day coronary revascularisation, CTCA had the greatest C-statistic (0.80) with a negative predictive value of 0.96 and 0.92 in the absence of coronary artery disease and obstructive coronary artery disease, respectively. The combination of the T-MACS estimates and the CTCA findings was most discriminative for the index hospital diagnosis of acute coronary syndrome (C-statistic, 0.88) and predictive of 30-day coronary revascularisation (C-statistic, 0.85). No patients with a T-MACS estimate of <0.05 and normal coronary arteries had acute coronary syndrome during index hospitalisation or underwent coronary revascularisation within 30 days. CONCLUSIONS: In intermediate-risk patients with suspected acute coronary syndrome, the T-MACS model combined with CTCA improved discrimination of the index hospital diagnosis of acute coronary syndrome and prediction of 30-day coronary revascularisation. TRIAL REGISTRATION NUMBER: NCT02284191. SN - 1472-0213 UR - https://www.unboundmedicine.com/medline/citation/38857986/ DB - PRIME DP - Unbound Medicine ER -