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Although electrocardiography is frequently used as an initial test to detect or rule out previous myocardial infarction (MI), the diagnostic performance of commonly used electrocardiographic scoring systems is not well described. We aimed to determine the diagnostic accuracy of (1) the Universal Definition, (2) Minnesota ECG Code (MC), (3) Selvester QRS Score, and (4) assessment by cardiologists using late gadolinium enhancement cardiovascular magnetic resonance imaging as the reference standard. Additionally, the effect of electrocardiographic patterns and infarct characteristics on detecting previous MI was evaluated. The 3-month follow-up electrocardiograms of 78 patients with first-time reperfused ST elevation MI were pooled with electrocardiograms of 36 healthy controls. All 114 electrocardiograms were randomly analyzed, blinded to clinical and LGE-CMR data. The sensitivity of the Universal Definition, MC, Selvester QRS Score, and cardiologists to detect previous MI was 33%, 79%, 90%, and 67%, respectively; specificity 97%, 72%, 31%, and 89%, respectively; diagnostic accuracy 54%, 77%, 71%, and 74%, respectively. Probability of detecting MI by cardiologists increased with an increasing number (odds ratio [OR] 2.00, 95% confidence interval [CI] 1.30 to 3.09), width (OR 1.02, 95% CI 1.01 to 1.03), and depth (OR 1.16, 95% CI 1.07 to 1.27) of Q waves as well as increasing infarct size (OR 1.15, 95% CI 1.06 to 1.25) and transmurality (OR 1.05, 95% CI 1.01 to 1.08; p <0.05 for all). The time-consuming MC and rapid visual assessment by cardiologists achieved the best and similar diagnostic accuracies to detect previous MI. The diagnostic performance of all 4 electrocardiographic scoring systems was modest and related to the number, depth, and width of Q waves as well as increasing infarct size and transmurality. In conclusion, the exclusion of a previous MI based solely on electrocardiographic findings should be done with caution. Future studies are needed to define which patients should be referred to additional diagnostic testing., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Aims To compare the prognostic value of negative non-invasive cardiac investigations (coronary computed tomographic angiography [CCTA], cardiovascular magnetic resonance [CMR], exercise electrocardiographic testing [EET], positron emission tomography [PET], stress-echocardiography [SE], and single-photon emission tomography [SPECT]) in patients with suspected or known coronary artery disease (CAD) and to explore the effect of adjustment for population event risk and presence of CAD. Methods and results MEDLINE/PubMed database, EMBASE and Cochrane Library were searched from January-1990 to April-2015 for studies reporting annual event rates (AER) of myocardial infarction (MI) and cardiac death. Pooled estimates of AERs were calculated using a DerSimonian and Laird random-effects model. Multivariable linear meta-regression analysis was performed to compare the AER after a negative test result between modalities and to adjust for population event risk and proportion of patients with CAD. In 165 studies (122,721 patients), pooled AERs after negative test results differed significantly between modalities ranging from 0.32% for CCTA to 1.66% for SE, P< 0.001. However, the AER after a negative test result was positively correlated (r= 0.726, P< 0.001) with population event risk. Adjusting for population event risk and proportion of patients with CAD resulted in more similar event rates after a negative test result. Conclusion This meta-analysis is the first study comparing the prognostic value of all available non-invasive cardiac investigations. Outcome differences between modalities after a negative test result are profoundly influenced by large variations in population event risk and a negative test result for all modalities conveys an excellent prognosis for patients with suspected or known CAD. [ABSTRACT FROM AUTHOR]

An abstract of the article "Comparison of different electrocardiographic criteria for the detection of previous myocardial infarction in relation to infarct characteristics as assessed with cardiovascular magnetic resonance imaging," by Caroline Jaarsma and colleagues is presented.