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Clinical decision aids and computed tomography coronary angiography in patients with suspected acute coronary syndrome.
Wang, Kang-Ling; Taggart, Caelan; McDermott, Michael; O'Brien, Rachel; Oatey, Katherine; Keating, Liza; Storey, Robert F; Felmeden, Dirk; Curzen, Nick; Kardos, Attila; Roobottom, Carl; Smith, Jason; Goodacre, Steve; Newby, David E; Gray, Alasdair J.
Afiliação
  • Wang KL; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK k.l.wang@ed.ac.uk.
  • Taggart C; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • McDermott M; General Clinical Research Center, Taipei Veterans General Hospital, Taipei, Taiwan.
  • O'Brien R; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
  • Oatey K; Department of Cardiology, Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Keating L; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
  • Storey RF; EMERGE (Emergency Medicine Research Group, Edinburgh), Royal Infirmary of Edinburgh, Edinburgh, UK.
  • Felmeden D; Edinburgh Clinical Trials Unit, University of Edinburgh, Edinburgh, UK.
  • Curzen N; Department of Emergency Medicine, Royal Berkshire NHS Foundation Trust, Reading, UK.
  • Kardos A; Division of Clinical Medicine, University of Sheffield, Sheffield, UK.
  • Roobottom C; NIHR Sheffield Biomedical Research Centre, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • Smith J; Department of Cardiology, Torbay and South Devon NHS Foundation Trust, Torquay, UK.
  • Goodacre S; Faculty of Medicine, University of Southampton, Southampton, UK.
  • Newby DE; Department of Cardiology, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
  • Gray AJ; TCRG (Translational Cardiovascular Research Group), Milton Keynes University Hospital NHS Foundation Trust, Milton Keynes, UK.
Emerg Med J ; 2024 Jun 10.
Article em En | MEDLINE | ID: mdl-38857986
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article