INTRODUCTION
Since my first assignment in 2005 to review for ANE the year's most important publications on 12‐lead electrocardiograms (ECG),1 this task is getting more and more difficult. It is hard to believe, but the number and quality of investigations describing new and exciting information derived from this classic and “old” diagnostic procedure is increasing every year. My hands have been tied over the years as I had to limit the number of publications to 50. Thus, all I can do is to hail the authors whose publication is being reviewed here and apologize to the others whose papers, probably not less important than the others, are not among the reviewed articles.
Early Repolarization (ER)
Heng et al.2 reevaluated in an apparently healthy white population the prevalence of J‐point elevation with or without ST junction (STj) elevation; the authors demonstrated a significantly prevalence of this syndrome according to the inclusion (2.1%) or exclusion (29.3%) of STj elevation and stressed the influence of end QRS notching or slurring on the definition of ER. Modulation of the J‐wave elevation by vagal activity was observed by Mizumaki et al.3 who connected this with the occurrence of ventricular fibrillation (VF) predominantly at night with idiopathic VF. In African Americans with ER and ST elevation, were followed for an average of 7.6 years by Perez et al.4 and was found not to be predictive of cardiovascular death.
Roten et al.5 described the class 1a anti‐arrhythmic drug ajmaline attenuates ECG characteristics of inferolateral ER: the drug significantly decreased the J‐wave amplitude in ER and prolonged the QRS width significantly less than in patients with Brugada syndrome (BR). This indicated a different pathogenesis for both disorders. Also in Wolff–Parkinson–White syndrome, a high prevalence of J‐waves were found, frequently disappearing after catheter ablation.6 Rosso et al.7 found that the combination of J waves with horizontal/descending ST segment improves the ability to distinguish patients with high risk for VF.
Perez‐Riera et al.8 found that convex upward J waves, with horizontal/descending ST segment or “lambda‐wave” ST shape are suggestive of idiopathic VF and could identified mutations in the genes with ER abnormalities. Lanza et al.9 prospectively studied 4176 subjects without heart disease: typical ER pattern and J wave were common in subjects with lower heart rates and were not associated with symptoms potentially related to arrhythmias.
ER and Acute Myocardial Infarction (AMI)
In patients following an ST‐elevation acute myocardial infarction (AMI) the presence of ER was associated with a higher incidence of ventricular arrhythmias.10 Twelve lead ECGs before AMI onset could be evaluated by Naruse et al.11 in 220 consecutive patients with AMI; ER in these ECGS was an independent predictor of the occurrence of VF/fibrillation in the very early phase (within 48 hours) of the acute infarction.
The differentiation of the ER pattern from ST‐elevation in AMI may frequently pose a problem; the ER patients had a higher R‐wave amplitude, smaller ST‐elevation, and shorter QTc.12
In a population‐based study, ER pattern localization, J‐point elevation amplitude, or T‐wave morphology did not distinguish benign from malignant form of this pattern. ER pattern with notching and horizontal/descendant ST segments was associated with the highest risk of all‐cause and cardiovascular deaths. Conversely, a slurring ER pattern or ascendant ST segment was not associated with increased mortality.13
Cardiac Resynchronization Therapy (CRT)
In contrast to previous data, Dupont et al.14 found the QRS morphology to be a more important baseline ECG determinant of the clinical outcome of patients with CRT, than the QRS duration. According to the authors, the echocardiographically determined change in ejection fraction in patients with LBBB and QRSd ≥150 ms was better, than in those with LBBB and QRSd <150 ms; long‐term survival was also better in LBBB patients with QRSd ≥150 ms, but this difference was not significant; apparently comorbid conditions may confound the treatment responses. Hsu et al.15 found that QRS duration ≥150 ms and LBBB are among the six predictors of a super‐respons to CRT.
A shorter QRS duration during left ventricular (LV) pacing and, in particular, a shorter LV paced than RV paced QRS width, were strong and independent predictors for response to CRT.16
Patients undergoing CRT with defibrillator were followed by Friedman et al.17 for sustained ventricular arrhythmias. The authors found a significantly increased 3‐year incidence of ventricular arrhythmias in those with LV end systolic diameter >61 mm, as compared to a lower incidence among those with a less dilated ventricle. The REVERSE study demonstrated that among over 600 patients with CRT with mild heart failure, LBBB, and QRS prolongation were markers of reverse remodeling and clinical benefit.18
In patients with LBBB and heart failure with CRT body surface potential mapping demonstrated reduced ventricular repolarization parameters QTm, QTcm, and QTD global/regional values.19
CARDIOMYOPATHY
In patients with primary cardiomyopathy with excessive trabeculations (called also noncompaction cardiomyopathy) a high prevalence of ER was found, especially in those who present with malignant ventricular arrhythmias.20
Signal‐averaged ECG parameters, as a filtered averaged QRS (fQRS), low amplitude signal duration <40 mV and root‐mean‐square voltage in the last 40 ms of the QRS were studied by Santangeli et al.21: abnormal parameters were a reflection for the presence of extensive cardiomyopathic involvement of the right ventricular outflow tract (RVOT).
Diabetic patients with nonischemic cardiomyopathy benefited from better results of CRT than ones with the ischemic type of the disease.22 In ischemic cardiomyopathy Brenyo et al.23 found that fragmented QRS, especially identified in inferior leads, is predictive of SCD, SCD or appropriate ICD shock, and all‐cause mortality in patients with ICM. In both types Pei et al.24 concluded that the presence of J wave or fQRS in the inferior leads predicted higher risk of SCD.
Acutely exhibited transient J wave preceding ST segment elevation in a postmenopausal woman with Takotsubo cardiomyopathy (TC) and acute chest pain, in the authors’ opinion suggests that ischemia may account for the J wave appearance as a sign of an ongoing TC.25
Brugada Syndrome (BS)
Veltman et al.26 correlated the location the Brugada type I ECG performed by using 12 right precordial leads with cardiovascular magnetic resonance imaging (CMRI). In all patients, Brugada type I pattern was found in the 3rd inter‐costal space. ICS in sternal and left‐parasternal positions. RVOT extent determined by using CMRI included the 3rd ICS in all patients. Maximal RVOT area was found in 3 patients in the 2nd ICS, in 5 patients in the 4th ICS, and in 27 patients in the 3rd ICS. CMRI predicted type I pattern with a sensitivity of 97.2%, specificity of 91.7%, positive predictive value of 88.6%, and negative predictive value of 98.0%. Maximal RVOT area coincided with maximal ST elevation in 29 of 30 patients. Lead positioning according to RVOT location improves the diagnosis of BS.
QT‐interval
During a drug‐induced QT‐interval prolongation Izumi et al.27 found that with a large apicobasal and anterolateral dispersion of ventricular repolarization, the interval between the peak and the end of the T wave (Tp‐e) in the limb leads expresses spatial (total) distribution of repolarization in the whole LV. the terminal part of the QT interval (T peak to T end; Tp‐e) and in particular the heart rate corrected Tp‐e (cTp‐e) were found to be strong predictors of mortality during the first year post‐AMI.28 The predictive value of beat‐to‐beat QT variability index (QTVI) in heart failure patients across the continuum of LV dysfunction was found to predict only cardiovascular mortality and non‐SCD, but not SCD nor extra cardiac mortality. Abnormally augmented QTVI separates 97.5% of healthy individuals from heart failure patients at risk.29
T‐wave morphology (normal, biphasic, inverted, bifid, or combined patterns) were scrutinized by Hekkala et al.30 after low‐dose epinephrine injection dissimilar T‐wave patterns were noted between controls and silent LQTS mutation carriers.
In over 19,000 subjects who underwent cardiac catheterization and had ≥1 native coronary artery stenosis ≥75%, automated QTc measurements were obtained from a baseline ECG:31 black race and female gender were independently associated with a prolonged QTc, after adjustment for cardiac risk factors. Women, but not men, were found to have prolonged QT interval if depressed after an acute coronary syndrome.32
To increase QTc data accuracy, Malik et al.33 used subject‐specific QT/RR curvatures and suggested to consider this in the optimization of subject‐specific heart rate corrections.
Malignant Arrythmias
Yokokawa et al.34 used automated analysis of the 12‐lead ECG and could identify the exit site in most patients with postinfarction ventricular tachycardia. Even in the absence of structural heart disease an increased prevalence of J‐wave syndrome was found among patients with idiopathic VF.35 A 5‐year follow up of initially symptomatic patients with Wolf–Parkinson–White syndrome demonstrated that short accessory‐pathway effective refractory period and antrioventricular reentrant tachycardia triggering sustained preexcited atrial fibrillation were independent predictors of malignant arrhythmias,36 although to reach statistical significance, soft end point, like “presyncope” were also added.
The Use of Holter Technology
Specific, less favorable indices of heart rate variability (HRV) in both older and young adults were found by Soares‐Miranda et al.37 on 24‐hour Holters or repeated 5‐minute ECGs in persons with trans‐fatty acid‐18:2 consumption, but not with trans‐18:1; the former but not the latter in red blood cell membranes has been shown to be associated with sudden cardiac arrest. The authors stressed the need to investigate potential HRV‐related mechanisms, whereby trans‐18:2 may increase arrhythmic risk.
Abe et al.38 found that late potential (LP) characteristics detected by the Holter‐based signal‐averaged ECG system over 24 hours differ between BS and arrhythmogenic right ventricular cardiomyopathy (ARVC) patients, as dynamic daily variations of LPs were seen only in BS patients. This may imply that mechanisms of lethal ventricular arrhythmia in BS may be more correlated with autonomic abnormality than that of ARVC.
In patients with chronic heart failure average TWA in ambulatory Holter recordings was a predictor of SCD, after a median follow‐up of 48 months, of SCD.39 Microvolt TWA was assessed by Mollo et al.40 by the modified moving average method, considering all 12 ECG leads (TWA_tot) or 6 ECG precordial leads only (TWA_prec): in healthy people by both methods TWA was ≤75 and ≤65 μv, respectively, in 95% of subject: in IHD patients TWA values were higher compared with healthy individuals. Dr. Madias, commenting on these results suggested that TWA testing can be more reliable in predicting SCD when the confounding rule of T‐wave amplitude are considered and investigated.
Repolarization abnormalities, leading to a potential risk for life‐threatening arrhythmias were demonstrated on Holter ECGs in patients with vasospastic angina during asymptomatic periods.41 Maury et al.42 reported of spontaneous VF by the use of a loop recorder, implanted for syncopes associated with ER pattern in the inferior leads.
The usefulness of continuous ECG monitoring for symptomless atrial fibrillation was validated by a consensus team headed by Camm et al., the recent and promising technology for continuous monitoring adds relevant information for detecting and treating rhythm and rate disturbances.43
MISCELLANEOUS
Patients with diabetes mellitus (DM) and metabolic syndrome (MetS) displayed significant changes in QRS complex that suggest depolarization sequence deterioration. Similar charges were observed also in the offspring of patients with DM and MetS, which suggests early subclinical cardiovascular damage.44 A consensus report on P‐wave abnormalities concluded that the interatrial blocks, that is, the presence of delay of conduction between the right and left atria, are the most frequent atrial blocks. P‐wave duration of ≥120 ms, longer P waves with biphasic morphology in inferior leads and the transient appearance of these parameters in the same ECG recording are classified as first, third, and second interatrial blocks, respectively. The first degree interatrial blocks are common and are related to atrial fibrillation and an increased risk for global and cardiovascular mortality, while the third degree is much less frequent, but is a strong marker of left atrial enlargement and paroxysmal supraventricular tachyarrhythmias.45
Platonov et al.46 estimated atrial fibrillatory rate using spatiotemporal QRST cancellation and time‐frequency analysis and followed their patients with mild to moderate heart failure for a median of 44 months, with primary end point defined as total mortality and secondary end points as sudden death and heart failure death. Reduced atrial fibrillatory rate was associated with increased risk of death from heart failure progression.
In patients referred for exercise echocardiography an increased T‐peak to T‐end (TpTe) interval, representing transmural dispersion of repolarization, was found to be associated with echocardiographic markers of diastolic dysfunction, both at rest and when induced by exercise.47
Over 3000 patients were prospectively followed for a median of 9.9 years by Hartaigh et al.48: patients with a resting heart rate of ≥84 had a reduced survival time for overall and cardiovascular mortality and had a significantly elevated adjusted risk for total and cardiovascular mortality.
Porela et al.49 demonstrated that the PR segment depression in any lead had a high sensitivity (88.2%) but fairly low specificity (78.3%) for myopericarditis. The most favorable predictive power to differentiate myopericarditis from STEMI (positive 96.7% and negative power 90%) was the combination of PR depressions in both precordial and limb leads.
In a study Rautaharju et al.50 isolated negative T waves were independent predictors of mortality, even in man with no evidence of heart disease.
ST level in lead aVR was measured in the HERO‐2 trial: ST elevation ≥1 mm was associated with higher 30‐day mortality for both inferior and anterior infarction. Deeper ST depression (0, 0.5, 1, and ≥1.5 mm) was associated with higher mortality for anterior infarction but not for inferior infarction.51
Acknowledgments
The secretarial help of Ms. Estelle Rachamim‐Rayman is greatly acknowledged.
REFERENCES
- 1. Stern S. The Year of 2005 in Electrocardiology. Ann Noninvasive Electrocardiol 2006;11:187–193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Heng SJ, Clark EN, Macfarlane PW. End QRS notching or slurring in the electrocardiogram—Influence on the definition of “Early Repolarization.” J Am Coll Cardiol 2012;10:947–948. [DOI] [PubMed] [Google Scholar]
- 3. Mizumaki K, Nishida K, Iwamoto J, et al. Vagal activity modulates spontaneous augmentation of J‐wave elevation in patients with idiopathic ventricular fibrillation. Heart Rhythm 2012;9:249–255. [DOI] [PubMed] [Google Scholar]
- 4. Perez MV, Uberoi A, Jain NA, et al. The prognostic value of early repolarization with ST‐segment elevation in African Americans. Heart Rhythm 2012;9:558–565. [DOI] [PubMed] [Google Scholar]
- 5. Roten L, Derval N, Sacher F, et al. Ajmaline attenuates electrocardiogram characterisitics of inferolateral early repolarization. Heart Rhythm 2012;9:232–239 [DOI] [PubMed] [Google Scholar]
- 6. Yagihara N, Sato A, Iijima K, et al. The prevalence of early repolarization in Wolff‐Parkinson‐White syndrome with a special reference to J waves and the effects of catheter ablation. J Electrocardiol 2012;45:36–42. [DOI] [PubMed] [Google Scholar]
- 7. Rosso R, Glikson E, Belhassen B, et al. Distinguishing “benign” from “malignant early repolarization”: The value of the ST‐segment morphology. Heart Rhythm 2012;9:225–229. [DOI] [PubMed] [Google Scholar]
- 8. Perez‐Riera AR, Abreu LC, Yanowitz F, et al. “Benign” early repolarization versus malignant early abnormalities: Clinical‐electrocardiographic distinction and genetic basis. Cardiol J 2012;19:337–346. [DOI] [PubMed] [Google Scholar]
- 9. Lanza G A, Mollo R, Cosenza A, et al. Prevalence and clinical correlates of early repolarization and J wave in a large cohort of subjects without overt heart disease. J Electrocardiol 2012;45:404–410. [DOI] [PubMed] [Google Scholar]
- 10. Patel RB, Ilkhanoff L, Ng J, et al. Clinical characteristics and prevalence of early repolarization associated with ventricular arrhythmias following acute ST‐elevation myocardial infarction. Am J Cardiol 2012;110:615–620. [DOI] [PubMed] [Google Scholar]
- 11. Naruse Y, Tada H, Harimura Y, et al. Early repolarization is an independent predictor of occurrences of ventricular fibrillation in the very early phase of acute myocardial infarction. Circ Arrhthm Electrophyiol 2012;5:506–513. [DOI] [PubMed] [Google Scholar]
- 12. Smith SW, Khalil A, Henry TD. Electrocardiographic differentiation of early repolarization from subtle anterior ST‐segment elevation myocardial infarction. Ann Emergency Med 2012;60:45–56. [DOI] [PubMed] [Google Scholar]
- 13. Rollin A, Maury P, Bongard V, et al. Prevalence, prognosis, and identification of the malignant form of early repolarization pattern in a population‐based study. Am J Cardiol 2012;110:1302–1308. [DOI] [PubMed] [Google Scholar]
- 14. Dupont M, Rickard J, Baranowski B, et al. Differential response to cardiac resynchronization therapy and clinical outcomes according to QRS morphology and QRS duration. J Am Coll Cardiol 2012;60:592–598. [DOI] [PubMed] [Google Scholar]
- 15. Hsu JC, Solomon SD, Bourgoun M, et al. Predictors of super‐response to cardiac resynchronization therapy and associated improvement in clinical outcome: The MADIT‐CRT (multicenter automatic defibrillator implantation trial with cardiac resynchronization therapy) study. J Am Coll Cardiol 2012;59:2373–2366. [DOI] [PubMed] [Google Scholar]
- 16. Kobe J, Dechering DG, Rath B, et al. Prospective evaluation of electrocardiographic parameters in cardiac resynchronization therapy: Detecting nonresponders by left ventricular pacing. Heart Rhythm 2012;9:499–504. [DOI] [PubMed] [Google Scholar]
- 17. Friedman DJ, Altman RK, Orencole M, et al. Predictors of sustained ventricular arrhythmias in cardiac resynchronization therapy. Circ Arrhythm Electrophysiol 2012;5:762–772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Gold MR, Thebault C, Linde C, et al. Heart Failure. Effect of QRS duration and morphology on cardiac resynchronization therapy outcomes in mild heart failure. Results from the resynchronization reverses remodeling in systolic left ventricular dysfunction (REVERSE) study. Circulation 2012;126:822–829. [DOI] [PubMed] [Google Scholar]
- 19. Douglas RAG, Samesima N, Filho MM, et al. Global and regional ventricular repolarization study by body surface potential mapping in patients with left bundle‐branch block and heart failure undergoing cardiac resynchronization therapy. Ann Noninvasive Electrocardiol 2012;17:123–129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Caliskan K, Ujvari B, Bauernfind T, et al. The prevalence of early repolarization in patients with noncompanction cardiomyopathy presenting with malignant ventricular arrhythmias. J Cardiovasc Electrophysiol 2012;23:938–944. [DOI] [PubMed] [Google Scholar]
- 21. Santangeli P, Pieroni M, Dello Russo A, et al. Correlation between signal‐ averaged ECG and the histologic evaluation of the myocardial substrate in right ventricular outflow tract arrhythmias. Circ Arrhythm Electrophysiol 2012;5:475–481. [DOI] [PubMed] [Google Scholar]
- 22. George J, Barsheshet A, Moss AJ, et al. Effectiveness of cardiac resynchronization therapy in diabetic patients with ischemic and nonischemic cardiomyopathy. Ann Noninvasive Electrocardiol 2012;17:14–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Brenyo A, Pietrasik G, Barsheshet A, et al. QRS fragmentation and risk of sudden cardiac death in MADIT ll. J Cardiovasc Electrophysiol 2012;23:1343–1348. [DOI] [PubMed] [Google Scholar]
- 24. Pei J, Li N, Gao Y, et al. The J wave and fragmented QRS complex in inferior leads associated with sudden cardiac death in patients with chronic heart failure. Europace 2012;14:1180–1187. [DOI] [PubMed] [Google Scholar]
- 25. Zorzi A, Miglione F, Perazzola Marra M, et al. Electrocardiographic J waves as a hyperacute sign of Takotsubo syndrome. J Electrocardiol 2012;45:353–356. [DOI] [PubMed] [Google Scholar]
- 26. Veltman C, Papavassiliu T, Konrad T, et al. Insights into the location of type I ECG in patienrts with Brugada syndrome: Correlation of ECG and cardiovascular magnetic resonance imaging. Heart Rhythm 2012;9:414–421. [DOI] [PubMed] [Google Scholar]
- 27. Izumi D, Chinushi M, Iijima K, et al. The peak‐to‐end of the T wave in the limb ECG leads reflects total spatial rather than transmural dispersion of ventricular repolarization in an anthopleurin‐A model of prolonged QT interval. Heart Rhythm 2012;9:796–803. [DOI] [PubMed] [Google Scholar]
- 28. Erikssen G, Liestol K, Gullestad L, et al. The terminal part of the QT interval (T peak to T end): A predictor of mortality after acute myocardial infarction. Ann Noninasive Electrocardiol 2012;17:85–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Tereshchenko LG, Cygankiewicz I, McNitt S, et al. Predictive value of beat‐to beat QT variability index across the continuum of left ventricular dysfunction. Competing risks of noncardiac or cardiovascular death and sudden or nonsudden cardiac death. Circ Arrhythm Electrophysiol 2012;5:719–727. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Hekkala AM, Heikki V, Heikki S, et al. T‐wave morphology after epinephrine Bolus may reveal silent long QT syndrome mutation carriers. J Electrocardiol 2012;45:368–372. [DOI] [PubMed] [Google Scholar]
- 31. Williams ES, Thoma KL, Broderick S, et al. Race and gender variation in the QT interval and its association with mortality in patients with coronary artery disease: Results from the duke databank for cardiovascular disease (DDCD). Am Heart J 2012;164:434–441. [DOI] [PubMed] [Google Scholar]
- 32. Whang W, Julian Howard M, Higginbotham L, et al. women, but not men, have prolonged QT interval if depressed after an acute coronary syndrome. Europace 2012;14:267–271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Malik M, Hnatkova K, Kowalski D, et al. Importance of subject‐specific QT/RR curvatures in the design of individual heart rate corrections of the QT interval. J Electrocardiol 2012;45:571–581. [DOI] [PubMed] [Google Scholar]
- 34. Yokokawa M, Liu TY, Yoshida K, et al. Automated analysis of the 12‐lead electrocardiogram to identify the exit site of postinfarction ventricular tachycardia. Heart Rhythm 2012;9:330–334. [DOI] [PubMed] [Google Scholar]
- 35. Ohkubo K, Watanabe I, Okumura Y, et al. Prevalence of prominent J waves in patients presenting with ventricular fibrillation without structural heart disease: A single‐center study. J Cardiol 2012;59:313–320. [DOI] [PubMed] [Google Scholar]
- 36. Pappone C, Vicedomini G, Manguso, F , et al. Risk of malignant arrhythmias in initially symptomatic patients with Wolff–Parkinson–White syndrome: Results of a prospective long‐term electrophysiological follow‐up study. Circulation 2012;125:661–668. [DOI] [PubMed] [Google Scholar]
- 37. Soares‐Miranda L, Stein PK, Imamura F, et al. Trans‐fatty acid consumption and heart rate variability in 2 separate cohorts of older and younger adults. Circ Arrhythm Electrophysiol 2012;5:728–738. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Abe A, Kobayashi K, Yuzawa H, et al. Comparison of late potentials for 24 hours between Brugada syndrome and arrhythmogenic right ventricular cardiomyopathy using a novel signal‐averaging system based on Holter ECG. Circ Arrhythm Electrophysiol 2012;5:789–795. [DOI] [PubMed] [Google Scholar]
- 39. Monasterio V, Laguna P, Cygankiewicz I, et al. Average T‐wave alternans Activity in ambulatory ECG records predicts sudden cardiac death in patients with chronic heart failure. Heart Rhythm 2012;9:383–389. [DOI] [PubMed] [Google Scholar]
- 40. Mollo R, Cosenza A, Spinelli A, et al. T‐wave alternans in apparently healthy subjects. and in different subsets of patients with ischemic heart disease. Europace 2012;14:272–277. [DOI] [PubMed] [Google Scholar]
- 41. Shimada H, Nishizaki M, Fujii H, et al. Ambulatory electrocardiogram‐based T‐ wave alternans in patients with vasospastic angina during asymptomatic periods. Am J Cardiol 2012;110:1446–1451. [DOI] [PubMed] [Google Scholar]
- 42. Maury P, Sacher F, Rollin A, et al. Ventricular fibrillation in loop recorder memories in a patient with early repolarization syndrome. Europace 2012;14:148–149. [DOI] [PubMed] [Google Scholar]
- 43. Camm AJ, Gorbucci C, Padeletti L. Usefulness of continuous electrocardiology monitoring for atrial fibrillation. Am J Cardiol 2012;110:270–276. [DOI] [PubMed] [Google Scholar]
- 44. Bacharova L, Krivosikova Z, Wsolova l, Gaidos M. Alterations in the QRS complex in the offspring of patients with metabolic syndrome and diabetes mellitus: Early evidence of cardiovascular pathology. J Electrocardiol 2012;45:244–251. [DOI] [PubMed] [Google Scholar]
- 45. Bayes de Luna A, Platonov P, Cosio FG, et al. Interatrial blocks. A separate entity from left atrial enlargement: A consensus report. J Electrocardiol 2012;45:445–451. [DOI] [PubMed] [Google Scholar]
- 46. Platonov PG, Cygankiewicz I, Stridh M, et al. Low atrial fibrillatory rate is associated with poor outcome in patients with mild moderate heart failure. Circ Arrhythm Electrophysiol 2012;5:77–83. [DOI] [PubMed] [Google Scholar]
- 47. Sauer A, Wilcox JE, Adin‐Cristian A, et al. Diastolic electromechanical coupling. association of the ECG T‐Peak to T‐End interval with echocardiographic markers of diastolic dysfunction. Circ Arrhythm Electrophysiol 2012;5:537–543. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Hartaigh BO, Bosch JA, Pilz S, et al. Influence of resting heart rate on mortality in patients undergoing angiography (from the Ludwigshafen Risk and Cardiovascular Health [LURIC] Study). Am J Cardiol 2012;110:515–520. [DOI] [PubMed] [Google Scholar]
- 49. Porela P, Kyto V, Nikus K, et al. PR Depression is useful in the differential diagnosis of myopericarditis and ST elevation myocardial infarction. Ann Noninvasive Electrocardiol 2012;17:141–145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Rautaharju PM, Menotti A, Blackburn H, et al. Isolated negative T waves as independent predictors of short‐term and long‐term coronary heart disease mortality in men free of manifest heart disease in the Seven Countries Study. J Electrocardiol 2012;45:717–722. [DOI] [PubMed] [Google Scholar]
- 51. Wong CK, Gao W, Stewart RAH, et al. The prognostic meaning of the full spectrum of aVR ST‐segment changes in acute myocardial infarction. Eur Heart J 2012;33:384–392. [DOI] [PubMed] [Google Scholar]
