Elsevier

Journal of Electrocardiology

Volume 42, Issue 1, January–February 2009, Pages 85-96
Journal of Electrocardiology

The QRS complex—a biomarker that “images” the heart: QRS scores to quantify myocardial scar in the presence of normal and abnormal ventricular conduction

https://doi.org/10.1016/j.jelectrocard.2008.07.011Get rights and content

Introduction

Acute myocardial infarction (MI) and chronic fibrosis (scar) from ischemic or nonischemic etiology create regions of slowed conduction providing a substrate for reentrant arrhythmias.1 Even in nonischemic cardiomyopathy the scar could be produced by the disruption of blood flow at a microvascular level. In the manuscript, we will review the ability of the QRS complex from the body surface electrocardiogram (ECG) to identify, localize, and quantify (essentially image) MI and chronic fibrosis. This has been documented extensively through specificity2, 3, 4 and necropsy studies4, 5, 6, 7, 8 in the absence of ECG confounders (ie, hypertrophy and conduction defects). In addition, we will lay the theoretical groundwork for how, after taking into account the electrical activation (depolarization) sequence in these confounders, the ECG can potentially be used to quantify MI and fibrosis in any conduction type.4 In the past, it has been difficult to accumulate enough patients in each conduction type to test this hypothesis in rigorous necropsy and specificity studies. However, cardiac magnetic resonance imaging (MRI) with late gadolinium enhancement can now accurately identify and quantify MI and fibrosis in vivo.9, 10

Although not reported in detail in the manuscript, we are currently testing new QRS score criteria to quantify scar for use in all types of ventricular conduction. Ischemic and nonischemic cardiomyopathy patients receive ECG and MRI before implantation of cardioverter-defibrillators. Recent studies have shown that quantification of scar by MRI can identify substrates for reentrant arrhythmias as defined by electrophysiologic testing11, 12 and post-MI mortality.13 In addition, MRI has been used to quantify myocardial scarring/fibrosis in nonischemic cardiomyopathy14, 15 and was associated with inducibility of ventricular arrhythmias16 and increased mortality.17, 18

Although the use of cardiac MRI to risk-stratify patients is promising, it is expensive and currently not widely available. Thus, if QRS scoring can “image” scar size in ischemic and nonischemic cardiomyopathy patients with all types of ventricular conduction, it could have important clinical implications in risk-stratifying patients before implantation of cardioverter-defibrillators.

Section snippets

Traditional ECG criteria for infarction (1920s to 1960s)

In 1918, Smith19 recorded the ECG in dogs after ligating coronary arteries, and in 1920, Pardee20 recorded an ECG of a patient with an acute coronary occlusion. Early studies in the first half of the 20th century comparing ECG diagnosis of MI with postmortem anatomical analysis often involved patients with multiple infarcts, and the ECG was not thought to be reliable at diagnosing MI or determining MI location. In addition, the diagnosis of MI was, and continues to be, confounded by the use of

Technology for quantitative cardiology (1950s to 1970s)

Four major advances occurred in the 1950s to 1970s that laid the groundwork for the development of quantitative electrocardiographic analysis of infarction:

  • 1.

    the development of the multiterminal intramural needle that could be used to map the spread of electrical depolarization in animal and eventually human hearts26, 27, 28;

  • 2.

    the introduction of computers into biomedical research to study the relation between experimentally measured activation sequences and simulated body surface ECGs and

Simplified QRS MI size score (1982 version)

In 1977, Savage et al33 performed detailed postmortem histologic analyses of hearts with computer digitization of infarct location in patients with single well-circumscribed infarcts. Before studying the relation between the QRS MI size score and postmortem infarct size, they reported the ability of QRS changes to simply localize infarcts. They showed that anteroseptal MIs were associated with Q waves or markedly diminished R waves in V1 through V3 and inferior MIs were associated with Q waves

QRS MI size scoring in the presence of hypertrophy and conduction defects

According to traditional dogma, fascicular blocks, bundle branch blocks, and hypertrophy simulate or conceal the ECG signs of infarction.60, 61 In contrast, the systematic simulation of combinations of these pathologies suggested that once the correct underlying activation sequence is taken into account, the ECG can in fact detect and quantify infarction.4 QRS scores for use in the presence of these confounders were developed from the simulations and then adjusted after comparison with coronary

Conclusions and future directions

Throughout the first half of the 20th century, numerous studies assessed the association between ECG findings and postmortem anatomical analysis; however, these studies were confounded by the inclusion of the sickest most complex patients who died. It was not possible to unscramble the complex interactions of infarction, hypertrophy, and conduction defects. In the 1950s to 1970s, the development of multiterminal needle (plunge) electrodes led to the determination of the electrical

Acknowledgments

David Strauss thanks Drs Katherine Wu, Håkan Arheden, Galen Wagner, and Peipei Ping for ongoing mentorship and support. The ongoing research is supported by the Donald W. Reynolds Cardiovascular Research Center at Johns Hopkins University, Baltimore, MD. The authors thank Dr Katherine Wu and all the Reynolds investigators for allowing them to present 2 ECG and MRI patient examples. They thank Eric Bergvall for assistance in presentation of the 3-dimensional MRI image.

First page preview

First page preview
Click to open first page preview

References (79)

  • DurrerD. et al.

    Spread of activation in the left ventricular wall of the dog. I

    Am Heart J

    (1953)
  • SelvesterR.H. et al.

    A digital computer model of the vectorcardiogram with distance and boundary effects: simulated myocardial infarction

    Am Heart J

    (1967)
  • HinohoraT. et al.

    An ischemic index from the electrocardiogram to select patients with low left ventricular ejection fraction for coronary artery bypass grafting

    Am J Cardiol

    (1988)
  • YoungS.G. et al.

    Limitations of electrocardiographic scoring systems for estimation of left ventricular function

    J Am Coll Cardiol

    (1983)
  • RoubinG.S. et al.

    The QRS scoring system for estimating myocardial infarct size: clinical, angiographic and prognostic correlations

    J Am Coll Cardiol

    (1983)
  • BabbittD. et al.

    Comparison of a QRS scoring system for estimating acute infarct size with radionuclide left ventriculography

    Am Heart J

    (1984)
  • AlbertD.E. et al.

    Comparative rates of resolution of QRS changes after operative and nonoperative acute myocardial infarcts

    Am J Cardiol

    (1983)
  • BounousE.P. et al.

    Prognostic value of the simplified Selvester QRS score in patients with coronary artery disease

    J Am Coll Cardiol

    (1988)
  • JonesM.G. et al.

    Prognostic use of a QRS scoring system after hospital discharge for initial acute myocardial infarction in the Framingham cohort

    Am J Cardiol

    (1990)
  • AndersonW.D. et al.

    Evaluation of a QRS scoring system for estimating myocardial infarct size. VI: Identification of screening criteria for non-acute myocardial infarcts

    Am J Cardiol

    (1988)
  • SevillaD.C. et al.

    Sensitivity of a set of myocardial infarction screening criteria in patients with anatomically documented single and multiple infarcts

    Am J Cardiol

    (1990)
  • PahlmO. et al.

    Specificity and sensitivity of QRS criteria for diagnosis of single and multiple myocardial infarcts

    Am J Cardiol

    (1991)
  • PopeJ.E. et al.

    Development and validation of an automated method of the Selvester QRS scoring system for myocardial infarct size

    Am J Cardiol

    (1988)
  • AndresenA. et al.

    Validation of advanced ECG diagnostic software for the detection of prior myocardial infarction by using nuclear cardiac imaging

    J Electrocardiol

    (2001)
  • EisensteinI. et al.

    The electrocardiogram in obesity

    J Electrocardiol

    (1982)
  • HoweC.M. et al.

    Evaluation of a QRS scoring system for estimating myocardial infarct size. VII: Specificity in a control group with right ventricular hypertrophy due to mitral stenosis

    Am J Cardiol

    (1988)
  • MoonJ.C. et al.

    Toward clinical risk assessment in hypertrophic cardiomyopathy with gadolinium cardiovascular magnetic resonance

    J Am Coll Cardiol

    (2003)
  • GrantR.P. et al.

    Mechanisms of QRS complex prolongation in man; left ventricular conduction disturbances

    Am J Med

    (1956)
  • WyndhamC.R. et al.

    Epicardial activation in human left anterior fascicular block

    Am J Cardiol

    (1979)
  • WillemsJ.L. et al.

    Criteria for intraventricular conduction disturbances and pre-excitation. World Health Organizational/International Society and Federation for Cardiology Task Force Ad Hoc

    J Am Coll Cardiol

    (1985)
  • EngblomH. et al.

    Quantitative clinical assessment of chronic anterior myocardial infarction with delayed enhancement magnetic resonance imaging and QRS scoring

    Am Heart J

    (2003)
  • EngblomH. et al.

    Myocardial infarct quantification: is magnetic resonance imaging ready to serve as a gold standard for electrocardiography?

    J Electrocardiol

    (2007)
  • DillonS.M. et al.

    Influences of anisotropic tissue structure on reentrant circuits in the epicardial border zone of subacute canine infarcts

    Circ Res

    (1988)
  • WagnerG.S. et al.

    Evaluation of a QRS scoring system for estimating myocardial infarct size. I. Specificity and observer agreement

    Circulation

    (1982)
  • SelvesterR.H. et al.

    Myocardial infarction

  • JuddR.M. et al.

    Physiological basis of myocardial contrast enhancement in fast magnetic resonance images of 2-day-old reperfused canine infarcts

    Circulation

    (1995)
  • KimR.J. et al.

    Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function

    Circulation

    (1999)
  • SchmidtA. et al.

    Infarct tissue heterogeneity by magnetic resonance imaging identifies enhanced cardiac arrhythmia susceptibility in patients with left ventricular dysfunction

    Circulation

    (2007)
  • YanA.T. et al.

    Characterization of the peri-infarct zone by contrast-enhanced cardiac magnetic resonance imaging is a powerful predictor of post-myocardial infarction mortality

    Circulation

    (2006)
  • Cited by (123)

    View all citing articles on Scopus

    David Strauss is supported by the Sarnoff Cardiovascular Research Foundation.

    View full text