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Systematic review, meta-analysis and economic modelling of ...

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Discussionspecificity were 62% (95% predictive interval 35% to 83%) <strong>and</strong> 83% (95% predictive interval 35% to 98%),respectively. These findings suggest inadequate diagnostic accuracy to act as a single diagnostic test for MIat presentation.A few studies reported the accuracy <strong>of</strong> alternative biomarkers in combination with troponin atpresentation, with the combination being positive if either marker were positive. H-FABP, copeptin,IMA <strong>and</strong> myoglobin improved sensitivity for MI at presentation but at the expense <strong>of</strong> loss <strong>of</strong> specificity.However, the estimates <strong>of</strong> diagnostic accuracy for presentation troponin alone varied substantially inthese studies <strong>and</strong> used an unclear threshold for positivity in some cases. Our <strong>meta</strong>-<strong>analysis</strong> suggests thathigh-sensitivity troponin assays can achieve similar sensitivity to the biomarker <strong>and</strong> troponin combinationwith a similar loss <strong>of</strong> specificity. Future evaluations <strong>of</strong> alternative biomarkers at presentation should includemeasurement <strong>of</strong> a high-sensitivity troponin assay to determine whether or not the biomarker still producesan incremental improvement in sensitivity.Prognostic accuracy <strong>of</strong> biomarkers for predicting major adverse cardiac eventsThe prognostic value <strong>of</strong> troponin is well established 8 <strong>and</strong> elevated troponin levels is associated withincreased potential to benefit from treatment. 9,155 As a result, troponin is established as an essentialbiomarker in the assessment <strong>of</strong> suspected ACS. We identified a large number studies evaluating the ability<strong>of</strong> other biomarkers to predict MACEs in patients with suspected ACS. However, many <strong>of</strong> these simplyevaluated whether there was an association between biomarker levels <strong>and</strong> risk <strong>of</strong> MACEs. In clinicalassessment, the ECG <strong>and</strong> troponin are already established in routine practice on the basis <strong>of</strong> value inpredicting adverse outcome, so any new biomarker would need to demonstrate additional prognosticvalue beyond routine assessment. We found some evidence that BNP, NT-pro-BNP, MPO <strong>and</strong> H-FABPcould predict MACEs even after adjustment for troponin <strong>and</strong> other variables in multivariate <strong>analysis</strong>.However, results were sometimes inconsistent <strong>and</strong> it was not always clear whether or not all potentiallyimportant covariates had been included in <strong>analysis</strong>. We also found evidence that CRP, PAPP-A <strong>and</strong> H-FABPcould predict MACEs in troponin-negative patients. These findings were based on a small number <strong>of</strong>heterogeneous studies with differing methods <strong>of</strong> <strong>analysis</strong> <strong>and</strong> there was some inconsistency in thefindings. Meta-<strong>analysis</strong> was not possible so the estimates <strong>of</strong> RR were based on single studies <strong>and</strong> should beinterpreted with caution.Diagnostic accuracy <strong>of</strong> computed tomographic coronary angiography <strong>and</strong>exercise electrocardiography for coronary artery diseaseThe diagnostic accuracy <strong>of</strong> CTCA <strong>and</strong> exercise ECG for identifying CAD in patients with stable symptomshas been extensively studied <strong>and</strong> summarised in previous <strong>meta</strong>-analyses. We aimed to determine whetheror not similar estimates existed in patients presenting to hospital with suspected ACS.We identified eight studies comparing CTCA to conventional coronary angiography in patients presentingwith suspected ACS, reporting sensitivities ranging from 83% to 100% <strong>and</strong> specificities ranging from 54%to 100%. The summary estimates for sensitivity <strong>and</strong> specificity were 93% (95% predictive interval 61%to 99%) <strong>and</strong> 87% (95% predictive interval 16% to 100%), respectively. The studies were relatively small,evaluated various different techniques <strong>and</strong> used different methods <strong>of</strong> <strong>analysis</strong>, so there are a number <strong>of</strong>potential explanations for the variation in results. Only one study 126 used 64-slice CT <strong>and</strong> this reported thehighest sensitivity <strong>and</strong> specificity (both 100%). The other studies used 16- or 4-slice CT <strong>and</strong> reported lowersensitivity <strong>and</strong> specificity.Our findings are similar to other published <strong>review</strong>s. Mowatt et al. 25 sought all diagnostic studies <strong>of</strong> CTCA<strong>and</strong> included 18 studies with 1286 patients in the <strong>meta</strong>-<strong>analysis</strong>. Most <strong>of</strong> the included studies were <strong>of</strong>patients with stable symptoms rather than suspected ACS. Sensitivity ranged from 94% to 100%, with apooled sensitivity <strong>of</strong> 99% (95% CrI 97% to 99%). Specificity ranged from 50% to 100%, with a pooledspecificity <strong>of</strong> 89% (95% CrI 83% to 94%). Athappan et al. 167 included 16 studies <strong>of</strong> CTCA in acute chestpain. The pooled sensitivity <strong>and</strong> specificity for ACS were 0.96 (95% CI 0.93 to 0.98) <strong>and</strong> 0.92 (95% CI108NIHR Journals Library

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