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Asian Cardiovasc Thorac Ann 2008;16:103-106
© 2008 Asia Publishing EXchange Ltd


ORIGINAL CONTRIBUTIONS

Differentiation of Ischemic and Dilated Cardiomyopathy on Electrocardiograms

Kamran Aghasadeghi, MD, Amir Aslani, MD

Department of Cardiology, Shiraz University of Medical Sciences, Shiraz, Iran

For reprint information contact: Amir Aslani, MD, Tel: 98 711 843 3095, Fax: 98 711 227 7182, Email: aslanidr{at}yahoo.com, Namazee Hospital, PO Box 71935 1334, Shiraz, Iran.


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Differentiating coronary artery disease with left ventricular dysfunction from dilated cardiomyopathy is important prognostically and therapeutically. To provide a diagnostic algorithm to distinguish these conditions using a standard 12-lead electrocardiogram, all 105 patients with left ventricular ejection fraction < 50% who underwent angiography between January 2004 and December 2006 were studied prospectively. Coronary artery disease was defined as ≥ 50% stenosis of the left main coronary artery or ≥ 70% stenosis of 1 or more of the 3 major epicardial arteries. Normal coronary angiography findings with left ventricular ejection fraction < 50% was defined as dilated cardiomyopathy. The most specific finding for differentiation of these diseases was pathologic Q waves in lead II, aVF, V3 or V4. The most sensitive parameter was a ratio ≥ 5 of R-wave amplitudes in lead V6 and lead III (94% sensitive). The 12-lead electrocardiogram provides a useful noninvasive method for differentiation of dilated cardiomyopathy from coronary artery disease with left ventricular systolic dysfunction.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Coronary artery disease (CAD) and dilated cardiomyopathy (DCM) are the most common causes of left ventricular (LV) dysfunction which imposes a significant burden on healthcare systems because of high morbidity and mortality.15 Differentiating CAD with LV dysfunction from DCM is important prognostically and therapeutically.68 The standard 12-lead electrocardiogram (EKG) is the primary clinical method used to identify many cardiac abnormalities. The aim of this study was to evaluate EKG differences between DCM and CAD with LV dysfunction.


    PATIENTS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Between January 2004 and December 2006, patients with LV ejection fraction < 50% who were referred to our catheterization laboratory for coronary angiography were studied prospectively. Medical histories, 12-lead EKGs and echocardiograms were reviewed. The 105 patients with LV systolic dysfunction (LV ejection fraction < 50%) were divided into 2 groups: the DCM group had angiographic documentation of normal coronary arteries, the CAD group had stenosis ≥ 50% of the left main coronary artery or ≥ 70% in 1 or more of the 3 major epicardial arteries or their main branches. A reference group of 100 patients with LV systolic dysfunction referred for coronary angiography was also established. The sensitivity, specificity, positive and negative predictive values of our results were calculated in the reference group. Electrocardiogram evaluation was performed without knowledge of the angiographic results. A junior and senior investigator examined each EKG and recorded the results separately. Any discrepancies between the investigators were resolved by joint review of the findings. R-wave, Q-wave and S-wave amplitudes in all EKG leads were determined in each subject. Patients were excluded from the study if they had congenital heart disease, bundle branch block, LV aneurysm detected by echocardiography or LV hypertrophy (defined as the sum of R waves in leads V5 or V6 plus S waves in lead V1 > 3.5 mV).

Data are expressed as mean ± standard deviation. Comparisons of data in the 2 groups were performed with an unpaired 2-tailed t test for continuous variables and chi-squared statistics with the Fisher correction when appropriate for categorical variables. Sensitivity, specificity, positive and negative predictive values were plotted against the range of cut-off values. A p value < 0.05 was considered significant.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Baseline characteristics of the patients are listed in Table 1Go. R-wave amplitude in lead V5 was greater in the DCM group compared to the CAD group (1.51 ± 0.3 vs 0.72 ± 0.2 mV, p < 0.05). R-wave amplitude in lead V6 was also greater in the DCM group (1.50 ± 0.4 vs 0.73 ± 0.3 mV, p < 0.05). Except for lead aVR, lead III had the lowest voltage among limb leads in the DCM group. Therefore, the ratio of R-wave amplitudes in lead V6 and lead III was evaluated in both groups; it was significantly greater in the DCM group (7.90 ± 0.8 vs 3.59 ± 0.9, p < 0.05). The sum of the Q wave amplitudes in the precordial leads ( QV1-V6) in both groups was higher in the CAD group (1.23 ± 0.2 mV vs 0.46 ± 0.09 mV, p < 0.05). Careful evaluation of all leads revealed that pathologic Q waves (width > 40 msec and voltage > 0.1 mV) in leads II, aVF, V3 and V4 were more common in the CAD group.


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Table 1. Baseline Characteristics of Patients with DCM or CAD and Left Ventricular Dysfunction
 
The most specific EKG parameter for diagnosis of DCM was R-wave amplitude ≥ 1.5 mV in V6 and V5 (Table 2Go). There was a highly positive predictive value of R-wave amplitude in V6 and V5 ≥ 1.5 mV. R-wave amplitude ratio V6/III ≥ 5 had a low specificity but was useful in differentiating DCM from CAD with LV systolic dysfunction because of high sensitivity (Table 2Go, Figure 1Go). The most specific EKG parameter for diagnosis of CAD with LV systolic dysfunction was pathologic Q waves in leads II, V3, V4 and aVF (Table 3Go), but the sensitivity of this parameter was very low. The positive predictive value of pathologic Q waves in leads II, V3, V4 and aVF was high (Table 3Go). The specificity of QV1-V6 ≥ 1.5 mV was 90% for diagnosis of CAD with LV systolic dysfunction, but the sensitivity of this parameter was relatively low (Table 3Go). Results of the S-wave voltages in different leads, QRS axis, QT intervals and QT dispersions showed no significant differences between groups. On combining specificity, sensitivity and positive predictive value of the data, an algorithm was produced for differentiation between DCM and CAD (Figure 1Go).


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Table 2. Predictive Value of EKG Parameters for Diagnosis of DCM
 

Figure 1
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Figure 1. Differentiation between dilated cardiomyopathy (DCM) and coronary artery disease (CAD) with left ventricular (LV) systolic dysfunction by 12-lead electrocardiogram (EKG); pathologic Q waves in lead II, aVF, V3 or V4 is highly specific for diagnosis of CAD; ratio of R-wave amplitudes in lead V6 and lead III (RV6/RIII) ≥ 5 has a high sensitivity for diagnosis of DCM.

 

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Table 3. Predictive Value of EKG Parameters for Diagnosis of CAD with Left Ventricular Dysfunction
 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
The treatment of patients with LV systolic dysfunction is determined in part by identification of the underlying disease process (DCM or CAD). In many centers, coronary angiography is routinely performed for this task. In patients with unobstructed coronary arteries and no other etiological factor, a diagnosis of DCM is usually made. This differentiation is important clinically in patients with CAD because they have a worse prognosis and they may benefit from revascularization and secondary preventive pharmacotherapy with statins and aspirin.6,7 Conversely, in patients with DCM, secondary causes such as excess alcohol ingestion or myocardial iron overload need to be excluded, and as genetic studies of DCM begin to identify inherited abnormalities, accurate phenotyping and family screening will become more important for early diagnosis.911

McCrohon and colleagues12 suggested that cardiovascular magnetic resonance imaging distinguishes LV dysfunction related to DCM or CAD on the basis of gadolinium enhancement and patterns within the myocardium. Their findings also suggest a potential to reduce the costs and inherent risks associated with invasive cardiac catheterization on which the diagnosis of DCM has depended until now. Right ventricular function was used as a criterion to differentiate DCM from CAD by de Groote and colleagues13 who found a significantly higher prevalence of reduced right ventricular ejection fraction (≥ 39%) in DCM. Analysis of clinical data shows that patients with DCM are younger than those with CAD. This difference may be related to the etiology of each condition. The most common cause of CAD is atherosclerosis which is more common in older age.8 In contrast, DCM is related to myocarditis, genetics and familial factors which are more common among the younger age group.6

In this study, the specificity, sensitivity and positive predictive values of the EKG findings provided a simple algorithm for differentiation of DCM and CAD with LV dysfunction. Before using this algorithm, one has to keep a few points in mind. Firstly, the finding of pathologic Q waves in lead II, aVF, V3 or V4 has a high specificity which favors a diagnosis of CAD. Therefore, a diagnosis of CAD with pathologic Q waves in lead II, aVF, V3 or V4 is fairly definite. Secondly, a ratio ≥ 5 of R-wave amplitudes in leads V6/III has a high sensitivity for diagnosis of DCM. Therefore, when the V6/III R-wave amplitude ratio is less than 5, DCM is unlikely. It was concluded that the 12-lead EKG provides a useful noninvasive method for differentiation of DCM from CAD in patients with LV systolic dysfunction.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  1. Consensus recommendations for the management of chronic heart failure. On behalf of the membership of the advisory council to improve outcomes nationwide in heart failure. Am J Cardiol 1999;83(2A):1A–38A.[Medline]

  2. Gheorghiade M, Bonow RO. Chronic heart failure in the United States: a manifestation of coronary artery disease. Circulation 1998;97:282–9.[Free Full Text]

  3. Manolio TA, Baughman KL, Rodeheffer R, Pearson TA, Bristow JD, Michels VV, et al. Prevalence and etiology of idiopathic dilated cardiomyopathy (Summary of a National Heart, Lung, and Blood Institute workshop). Am J Cardiol 1992;69:1458–66.[Medline]

  4. Effect of enalapril on mortality and the development of heart failure in asymptomatic patients with reduced left ventricular ejection fractions. The SOLVD Investigators. N Engl J Med 1992;327:685–91.[Abstract]

  5. Ho KK, Anderson KM, Kannel WB, Grossman W, Levy D. Survival after onset of congestive heart failure in the Framingham Heart Study subjects. Circulation 1993;88:107–15.[Abstract/Free Full Text]

  6. Adams KF, Dunlap SH, Sueta CA, Clarke SW, Patterson JH, Blauwet MB, et al. Relation between gender, etiology and survival in patients with symptomatic heart failure. J Am Coll Cardiol 1996;28:1781–8.[Abstract]

  7. Bart BA, Shaw LK, McCants CB Jr, Fortin DF, Lee KL, Califf RM, et al. Clinical determinants of mortality in patients with angiographically diagnosed ischemic or nonischemic cardiomyopathy. J Am Coll Cardiol 1997;30:1002–8.[Abstract]

  8. Franciosa JA, Wilen M, Ziesche S, Cohn JN. Survival in men with severe chronic left ventricular failure due to either coronary heart disease or idiopathic dilated cardiomyopathy. Am J Cardiol 1983;51:831–6.[Medline]

  9. Anderson LJ, Holden S, Davis B, Prescott E, Charrier CC, Bunce NH, et al. Cardiovascular T2-star (T2*) magnetic resonance for the early diagnosis of myocardial iron overload. Eur Heart J 2001;22:2171–9.[Abstract/Free Full Text]

  10. Itoh-Satoh M, Hayashi T, Nishi H, Koga Y, Arimura T, Koyanagi T, et al. Titin mutations as the molecular basis for dilated cardiomyopathy. Biochem Biophys Res Commun 2002;291:385–93.[Medline]

  11. Olson TM, Illenberger S, Kishimoto NY, Huttelmaier S, Keating MT, Jockusch BM. Metavinculin mutations alter actin interaction in dilated cardiomyopathy. Circulation 2002;105:431–7.[Abstract/Free Full Text]

  12. McCrohon JA, Moon JC, Prasad SK, McKenna WJ, Lorenz CH, Coats AJ, et al. Differentiation of heart failure related to dilated cardiomyopathy and coronary artery disease using gadolinium-enhanced cardiovascular magnetic resonance. Circulation 2003;108:54–9.[Abstract/Free Full Text]

  13. de Groote P, Millaire A, Foucher-Hossein C, Nugue O, Marchandise X, Ducloux G, et al. Right ventricular ejection fraction is an independent predictor of survival in patients with moderate heart failure. J Am Coll Cardiol 1998;32:948–54.[Abstract/Free Full Text]





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