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DOI: 10.3310/hta17010 Health Technology Assessment 2013 Vol. 17 No. 1Abstract<strong>Systematic</strong> <strong>review</strong>, <strong>meta</strong>-<strong>analysis</strong> <strong>and</strong> <strong>economic</strong><strong>modelling</strong> <strong>of</strong> diagnostic strategies for suspectedacute coronary syndromeS Goodacre,* P Thokala, C Carroll, JW Stevens, J Leaviss,M Al Khalaf, P Collinson, F Morris, P Evans <strong>and</strong> J WangSchool <strong>of</strong> Health <strong>and</strong> Related Research (ScHARR), University <strong>of</strong> Sheffield, Sheffield, UK*Corresponding authorBackground: Current practice for suspected acute coronary syndrome (ACS) involves troponin testing10–12 hours after symptom onset to diagnose myocardial infarction (MI). Patients with a negativetroponin can be investigated further with computed tomographic coronary angiography (CTCA) or exerciseelectrocardiography (ECG).Objectives: We aimed to estimate the diagnostic accuracy <strong>of</strong> early biomarkers for MI, the prognosticaccuracy <strong>of</strong> biomarkers for major adverse cardiac adverse events (MACEs) in troponin-negative patients,the diagnostic accuracy <strong>of</strong> CTCA <strong>and</strong> exercise ECG for coronary artery disease (CAD) <strong>and</strong> the prognosticaccuracy <strong>of</strong> CTCA <strong>and</strong> exercise ECG for MACEs in patients with suspected ACS. We then aimed to estimatethe cost-effectiveness <strong>of</strong> using alternative biomarker strategies to diagnose MI, <strong>and</strong> using biomarkers,CTCA <strong>and</strong> exercise ECG to risk-stratify troponin-negative patients.Data sources: We searched MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations; CumulativeIndex <strong>of</strong> Nursing <strong>and</strong> Allied Health Literature (CINAHL), EMBASE, Web <strong>of</strong> Science, Cochrane CentralDatabase <strong>of</strong> Controlled Trials (CENTRAL), Cochrane Database <strong>of</strong> <strong>Systematic</strong> Reviews (CDSR), NHS Database<strong>of</strong> Abstracts <strong>of</strong> Reviews <strong>of</strong> Effects (DARE) <strong>and</strong> the Health Technology Assessment database from 1985(CTCA <strong>review</strong>) or 1995 (biomarkers <strong>review</strong>) to November 2010, <strong>review</strong>ed citation lists <strong>and</strong> contactedexperts to identify relevant studies.Review methods: Diagnostic studies were assessed using the Quality Assessment <strong>of</strong> Diagnostic AccuracyStudies (QUADAS) tool <strong>and</strong> prognostic studies using a framework adapted for the project. Meta-<strong>analysis</strong>was conducted using Bayesian Markov chain Monte Carlo simulation. We developed a decision-<strong>analysis</strong>model to evaluate the cost-effectiveness <strong>of</strong> alternative biomarker strategies to diagnose MI, <strong>and</strong> the costeffectiveness<strong>of</strong> biomarkers, CTCA or exercise ECG to risk-stratify patients with a negative troponin.Strategies were applied to a theoretical cohort <strong>of</strong> patients with suspected ACS. Cost-effectiveness wasestimated as the incremental cost per quality-adjusted life-year (QALY) <strong>of</strong> each strategy compared with thenext most effective, taking a health-service perspective <strong>and</strong> a lifetime horizon.Results: Sensitivity <strong>and</strong> specificity (95% predictive interval) were 77% (29–96%) <strong>and</strong> 93% (46–100%) fortroponin I, 80% (33–97%) <strong>and</strong> 91% (53–99%) for troponin T (99th percentile threshold), 81% (50–95%)<strong>and</strong> 80% (26–98%) for quantitative heart-type fatty acid-binding protein (H-FABP), 68% (11–97%) <strong>and</strong>92% (20–100%) for qualitative H-FABP, 77% (19–98%) <strong>and</strong> 39% (2–95%) for ischaemia-modified albumin<strong>and</strong> 62% (35–83%) <strong>and</strong> 83% (35–98%) for myoglobin. CTCA had 94% (61–99%) sensitivity <strong>and</strong> 87%(16–100%) specificity for CAD. Positive CTCA <strong>and</strong> positive-exercise ECG had relative risks <strong>of</strong> 5.8 (0.6–24.5)© Queen’s Printer <strong>and</strong> Controller <strong>of</strong> HMSO 2013. This work was produced by Goodacre et al. under the terms <strong>of</strong> a commissioning contract issued by the Secretary <strong>of</strong> Statefor Health. This issue may be freely reproduced for the purposes <strong>of</strong> private research <strong>and</strong> study <strong>and</strong> extracts (or indeed, the full report) may be included in pr<strong>of</strong>essional journalsprovided that suitable acknowledgement is made <strong>and</strong> the reproduction is not associated with any form <strong>of</strong> advertising. Applications for commercial reproduction should beaddressed to: NIHR Journals Library, National Institute for Health Research, Evaluation, Trials <strong>and</strong> Studies Coordinating Centre, Alpha House, University <strong>of</strong> Southampton SciencePark, Southampton SO16 7NS, UK.v

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