Abstract
Ann Noninvasive Electrocardiol 2010;15(4):378‐383
Due to space limitations in Annals, I have limited my selection to just 50 of several hundred outstanding publications devoted to electrocardiography that were published in 2009, representing no change from previous years. 1 , 2 , 3 , 4 I apologize to those investigators, who are rightly looking for, but not finding their article in the following review.
THE P WAVE AND PR INTERVAL
Changes in P‐wave morphology, indicating abnormal interatrial conduction was demonstrated in MADIT II patients, 5 and a substantial heritability was demonstrated for P‐wave duration and PR interval in a South Pacific isolated founder population. 6 Yasar and coworkers found that patients with metabolic syndrome have higher P‐wave dispersion and maximum P‐wave duration, indicating increased risk for atrial fibrillation. 7
THE QRS COMPLEX
A fragmented QRS, defined by the presence of single or multiple notches in the R or S wave, without a typical bundle branch block (BBB), in ≥ 2 contiguous leads was an independent predictor of mortality in patients with acute coronary syndrome. 8 Schinkel and coworkers 9 reconfirmed that QRS duration ≥ 120 ms is an independent predictor of cardiac death and nonfatal infarction in patients with suspected coronary heart disease and demonstrated that this risk is persistent after adjustment for clinical variables, left ventricular function, and myocardial ischemia.
In hypertensive patients receiving intensive medical therapy, the QRS duration predicted sudden cardiac death (SCD) (not necessarily arrhythmic) during a nearly 5‐year follow‐up, even after controlling for the presence of left BBB, the effects of hypertensive treatment, and other known risk factors for SCD. 10 QRS duration ≥ 150 ms even in class I‐II patients with an ejection fraction (EF) ≤ 30% was recommended to be an indication for cardiac resynchronization therapy. 11 The baseline QRS duration was found to be an independent predictor of 30‐day mortality in patients with anterior acute myocardial infarction (AMI), even when unaccompanied by right BBB, but did not stratify mortality risk in patients with inferior AMI. 12 The hemodynamic disadvantage of left BBB was reemphasized by finding a relative under perfusion of the septum during exercise, reversible by short‐term right ventricular pacing. 13
THE QT INTERVAL
For reliable QT measurement 12‐lead Holter recordings were annotated beat‐to‐beat by an automatic algorithm for global QRS onset and T offset: variances of the beat‐to‐beat QT measurements were in the range 2.5–3.4 ms over three distinct databases and application to a moxifloxacin/placebo control database showed excellent results. 14
A 30‐km cross‐country race in runners aged ≥ 50 was the model for studying with vectocardiography the effect of prolonged exercise on ventricular repolarization: postrace corrected QT (QTc) increased immediately after the excessive physical exercise and remained unchanged on day 1 (P < 0.05), mainly because of an increased peak‐end T interval. T area remained high even on postrace day 6. 15
Twenty‐four hour Holter recordings in patients with chronic heart failure demonstrated 16 that repolarization lability as reflected in measuring QT variability has a pronounced diurnal variation and increases significantly after 6 AM, the time of greatest arrhythmic risk. The authors concluded that QT variability measured for 24 hours might improve risk prediction in chronic heart failure patients and should be tested in appropriate trials. Zhou et al. 17 developed for resting diagnostic, ambulatory Holter, an in‐hospital patient monitoring QT interval algorithms that provide accurate QT interval measurements and promises to capture early signs of QT prolongation. Dimopoulos and coworkers 18 found that QTc dispersion is an independent predictor of major cardiovascular events in elderly hypertensive and normotensive patients and suggested to use in risk stratification.
J point‐T peak interval measured from a 12‐lead ECG was found to be highly specific in diagnosing short QT syndrome 19 ; although based on a small sample size, this observation suggests that the diagnosis of short QT syndrome should not be made in asymptomatic subjects without a family history of SCD or serious arrhythmias if their J point‐T peak interval is not shortened (i.e., is >150 ms).
THE T WAVE
In a general population sample four T‐wave morphology parameters (principal component analysis ratio, T‐wave morphology dispersion, total cosine R‐to‐T, and T‐wave residuum) provided independent prognostic information cardiovascular mortality: 20 the authors demonstrated that T‐wave morphology parameters have gender‐related differences in their predictive value and for risk assessment, these parameters must be assessed separately in men and women.
A novel T‐wave morphology analysis showed that increased lead dispersion or decreased normalized T‐loop area on standard 12‐lead ECG identified heart failure patients at high risk for life‐threatening ventricular tachycardia/ventricullar fibrillation (VT/VF). 21
The Tpeak‐Tend interval (TpTe), linked to an increased arrhythmic risk was investigated before and after primary percutaneous coronary intervention in patients with ST‐segment elevation myocardial infarction; a prolonged preprocedural TpTe predicted subsequent all‐cause mortality. 22 TpTe, T‐wave flatness, T‐wave symmetry, and T‐wave notch were included in a cell‐to‐ECG model for studying relationship between multiple ion‐channel factors with ECG morphology‐related changes. These parameters were highly correlated with transmural dispersion and are heart rate independent. 23
T‐wave alternans (TWA), evaluated by modified moving average‐based method, was found to be a good predictor for the incidence of life‐threatening ventricular arrhythmias during a mean follow‐up of 72 months in patients with old myocardial infarction. 24 In patients with ischemic and nonischemic left ventricular dysfunction time domain TWA measured from 24‐hour Holter ECGs predicted cardiac mortality, 25 with a hazard ratio over that of functional class, diabetes, renal dysfunction, or nonsustained ventricular tachycardia.
THE U WAVE
The “100‐year‐old enigma” of the U wave was challenged by Postema and coworkers 26 in their meticulous investigation of the relationship between the U wave and the inward rectifier repolarizing current I K1; they concluded that the U wave is modulated by either an increase or a decrease of this current, with a corresponding decrease or increase of its amplitude, supporting the notion that the U wave is caused by intrinsic potential differences in the terminal part of the action potential.
ARRHYTHMOGENIC RIGHT VENTRICULAR DYSPLASIA (ARVD)
A comprehensive reevaluation of the diagnostic ECG features revealed that in the absence of a complete or incomplete right BBB, T‐wave inversion through lead V3 was the single ECG parameter that demonstrated optimal sensitivity and specificity; in incomplete right BBB (15% of patients) T‐wave inversion through V3 and in complete right BBB (17% of patients) an r’/s ratio in V1 < 1 was provided optimal sensitivity and specificity. 27 The authors concluded that ECG can be relied on with confidence as a screening tool for ARVD.
LONG QT SYNDROME (LQTS)
In LQTS patients, giant T‐U waves separated Torsades de Pointes (TdP) initiation from premature ventricular complexes (PVCs) in other heart diseases and from other PVCs in LQTS patients, suggesting that early after depolarizations initiate TdP. 28 Manually measured short‐term variability of the QT interval on surface ECG was found to be increased in patients with congenital LQTS and this effect is increased in patients with symptoms before therapy; hence, this parameter could prove to be a useful noninvasive additive marker for diagnostic screening. 29
CARDIOMYOPATHIES
In patients even with echocardiographic evidence of hypertrophic cardiomyopathy (HCM), a normal ECG appears to exhibit a less severe phenotype with better cardiovascular outcomes 2 , 30 in a retrospective cohort study of HCM patients followed for a mean period of 5.3 years. A “hump” at the ST segment during exercise testing appears to be a risk factor for SCD. 31
Using extended‐length ECG, the differential diagnosis between physiologic left ventricular hypertrophy (LVH) and HCM could be improved by using QTc interval, QT dispersion, mean resting heart rate, and low‐amplitude signal duration at 25 Hz at the end of filtered QRS. 32
In patients with dilated cardiomyopathy (DM) QRS duration > 110 ms from conventional surface ECG had prognostic impact for cardiac and SCD in univariate and multivariable analyses, similarly to diabetes mellitus and magnetic resonance imaging parameters. 33
Papadakis and coworkers 34 suggested, based on an evaluation of 1710 Caucasian adolescent athletes and 400 controls that T‐wave inversions in any lead are unusual, warranting further investigations for underlying cardiomyopathy.
HYPERTENSION
The development of a new ECG strain pattern of lateral ST depression and T‐wave inversion in lead V5 or V6 between baseline and year 1 identified, in the LIFE study, patients at increased risk of cardiovascular morbidity and mortality, SCD, and all‐cause mortality. 35 The authors suggested that the development of new strain on the ECG may be used to identify hypertensive patients with electrocardiographic LVH who require more aggressive antihypertensive therapy aimed at further risk reduction. Okin advocated 36 serial evaluation of ECG LVH for prediction of risk in hypertensive patients, suggesting that antihypertensive therapy targeted at regression or prevention of ECG LVH may improve prognosis.
HEART RATE VARIABILITY (HRV) AND TURBULENCE (HRT)
A Holter‐based methodology showed that enhanced HRV and R‐wave amplitude analysis were an easily accessible and reliable method for suspicion of sleep apnea or hypopnea in a general population. 37
HRT parameters like turbulence onset and turbulence slope correlated significantly on Holter monitoring correlated significantly with C‐reactive protein and was helpful for risk stratification of patients with unstable angina. 38 24‐hour Holter derived HRT pathologies were independent predictors of cardiovascular death in high‐risk post‐MI patients with left ventricular dysfunction; the optimal cutpoint for HRT slope was found to be higher in this study than previously reported. 39
Abnormal HRT on 24‐hour Holter in the presence of abnormal deceleration capacity, a sign of severe autonomic failure, identified in postinfarction patients with preserved left ventricular function a subgroup with increased mortality risk equivalent to patients with left ventricular ejection fraction (LVEF) of ≤ 30%. 40
EXERCISE ECG
In a population‐based sample of 1769 men without evident coronary heart disease, 41 the authors used the accepted criteria for ischemia during exercise and recovery of horizontal or down‐sloping ST depression 1.0 mm at 80 ms after J point or any ST depression of > 1.0 mm at 80 ms J point, even if painless. These findings were strong predictors of SCD, especially in smokers, as well as in hyperchlolesterolemic, and hypertensive men.
Gorodeski and coworkers 42 scrutinized 11 quantative ECG measures relating to heart rate, conduction, left ventricular mass, and repolarization, in patients without known cardiovascular disease who had a clinically normal resting ECG and who underwent treadmill exercise testing; subtle ECG findings relating to these variables provided modest but definite prognostic information during a median follow‐up of over 10 years, additional to clinical and exercise measures. Reduced heart rate recovery and heightened TWA during routine exercise testing predicted risk for cardiovascular and all‐cause death in a low‐risk population. 43 Perez and coworkers 44 described an artificial resting ECG neural network (RENN) that uses the resting ECG and demographic variables to predict cardiovascular mortality; this RENN score could further risk stratify patients deemed at moderate risk on exercise treadmill testing.
THE BRUGADA SYNDROME (BS)
In a prospective study, 45 late potentials (LPs) detected by signal‐averaged ECG had the most significant hazard ratio for the occurrence of arrhythmic events during a follow‐up period of 33 ± 9 months in patients with BS. Somewhat similar results were reported by Mizobuchi and coworkers 46 who found that LPs in apparently normal ECGs can predict the alterations to a drug‐induced type‐1 Brugada ECG and unmask the patients at risk.
OCCURRENCE OF J WAVES: THE EARLY REPOLARIZATION SYNDROME
While for several decades, J‐wave deflection occurring at the QRS‐ST junction was looked upon as a benign condition, Tikkanen and coworkers 47 found in a community‐based general population of over 10,000 middle‐aged subjects a 5.8% frequency of this pattern. During a mean follow‐up of 30 ± 11 years early repolarization of ≥ mV in inferior leads was associated with an increased risk of cardiac death (P = 0.03), while of > 0.2 mV had a markedly elevated risk of cardiac deaths (P < 0.001) and from arrhythmia (P = 0.01), observations in line with last year's two reports.
The ability of terminal QRS notching in leads V4 and V5 to distinguish benign from malignant electrocardiographic forms of early repolarization, based on over 1200 consecutive implantable cardioverter‐defibrillator (ICD) implants, was demonstrated by Merchant and coworkers. 48
Haissaguerre and coworkers, 49 who earlier reported findings similar to Tikkanen et al., reported that prior to the arrhythmic episode 12‐lead ECGs showed a consistent increase in the amplitude of early repolarization, compared with that seen in baseline; the authors stressed that isoproterenol in acute cases or the oral administration of quinidine are effective in correcting the ECG pattern and suppressing recurrence of arrhythmias. Dr.Viskin in his Editorial Comment a stressed the overlap between VF patients and control subjects in terms of J‐wave amplitude, J‐wave location, and QT‐intervals. Based on a meticulous study of seven patients, Jastrzebski and Kukla 50 entertained the possibility that the J‐wave‐like terminal QRS notch and/or J‐wave‐like ST‐segment elevation in the patients with VF episodes may be ischemia induced, representing acquired ion‐channel dysfunctions.
RHYTHM DISORDERS
In examinees without any structural heart disease, ruled out by echocardiography and cardiac magnetic resonance imaging, frequent PVCs originating from the ventricular outflow tract, during a follow‐up period of at least 4 years there was a significant negative correlation between the PVC prevalence and ΔLV ejection fraction and positive correlation between the PVC prevalence and ΔLV diastolic dimension. As the patients with highly frequent PVCs (> 20,000 beats/day) exhibited a significant decrease in the LVEF at the 4 and 5.8 (2.3) year follow‐ups, the authors call for attention to the progression of left ventricular dysfunction in such persons. 51
ECG IN VARIOUS DISORDERS
In patients with unexplained syncope, an abnormal 12‐lead ECG together with pathologic findings on 24‐hour Holter monitoring and these predicted the results of subsequent electrophysiology testing. 52 In the author's experience, if resting ECG and Holter were negative, electrophysiological testing was only rarely abnormal. In patients with sarcoidosis, a fragmented QRS complexes on 12‐lead ECG was associated with cardiac involvement, proved by gadolinium cardiac magnetic resonance imaging. 53
Following two reported cases about the disappearance of Brugada‐like ECG after surgical castration for prostate cancer, Haruta and coworkers 54 found a higher risk of prostate cancer in men with Brugada‐like ECG, independent of age, smoking habit, and radiation exposure; the authors recommend regular prostate examinations for elderly men with BS.
Acknowledgments
Acknowledgments: The secretarial help of Ms. Estelle Rachamim‐Rayman is greatly acknowledged.
Conflicts of Interest: none.
Footnotes
Viskin S. Idiopathic ventricular fibrillation “Le Syndrome d’Haissaguerre” and the fear of J waves. J Am Coll Cardiol 2009;53:6.
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. Stern S. The year of 2006 in electrocardiology. Ann Noninvasive Electrocardiol 2007;12:158–164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Stern S. The year of 2007 in electrocardiology. Ann Noninvasive Electrocardiol 2008;13:308–313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Stern S. The year of 2008 in electrocardiology. Ann Noninvasive Electrocardiol 2010;15:85–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Holmqvist F, Platonov PG, Carlson J, et al Altered interatrial conduction detected in MADIT II patients bound to develop atrial fibrillation. Ann Noninvasive Electrocardiol 2009;14:268–275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Smith JG, Lowe JK, Kovvali S, et al Genome‐wide association study of electrocardiographic conduction measures in an isolated founder population: Kosrae. Heart Rhythm 2009;6:634–641. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Yasar AS, Bilen E, Bilge M, et al P‐wave duration and dispersion in patients with metabolic syndrome. Pacing Clin Electrophysiol 2009;32:1168–1172. [DOI] [PubMed] [Google Scholar]
- 8. Das MK, Michael MA, Suradi H. Usefulness of fragmented QRS on a 12‐lead electrocardiogram in acute coronary syndrome for predicting mortality. Am J Cardiol 2009;104:1631–1637. [DOI] [PubMed] [Google Scholar]
- 9. Schinkel AFL, Ethendy A, Van Domburg RT, et al Prognostic significance of QRS duration in patients with suspected coronary artery disease referred for noninvasive evaluation of myocardial ischemia. Am J Cardiol 2009;104:1490–1493. [DOI] [PubMed] [Google Scholar]
- 10. Morin DP, Oikarinen L, Viitasalo M, et al QRS duration predicts sudden cardiac death in hypertensive patients undergoing intensive medical therapy: The LIFE study. Eur Heart J 2009;30:2908–2914. [DOI] [PubMed] [Google Scholar]
- 11. Moss AJ, Hall WJ, Cannom DS, et al Cardiac resynchronization therapy for the prevention of heart‐failure events. New Engl J Med 2009;361:1329–1338. [DOI] [PubMed] [Google Scholar]
- 12. Wong C‐K, Gao W, Stewart RAH, et al Acute coronary syndromes: Relationship of QRS duration at baseline and changes over 60 min after fibrinolysis to 30‐day mortality with different locations of ST elevation myocardial infarction: Results from the Hirulog and Early Reperfusion or Occlusion‐2 trial. Heart 2009;95:276–282. [DOI] [PubMed] [Google Scholar]
- 13. Koepfli P, Wyss CA, Gaemerli O, et al Left bundle branch block causes relative but not absolute septal underperfusion during exercise. Eur Heart J 2009;30:2993–2999. [DOI] [PubMed] [Google Scholar]
- 14. Mortara DW. Automated QT measurement and application to detection of moxifloxacin‐induced changes. Ann Noninvasive Electrocardiol 2009;14(Suppl.1):530–534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Sahlen A, Rubulis A, Winter R, et al Cardiac fatigue in long‐distance runners is associated with ventricular repolarization abnormalities. Heart Rhythm 2009;6:512–519. [DOI] [PubMed] [Google Scholar]
- 16. Dobson CP, La Rovere MT, Olsen C, et al 24‐hour QT variability in heart failure. J Electrocardiol 2009;42:500–504. [DOI] [PubMed] [Google Scholar]
- 17. Zhou SH, Helfenbein ED, Lindauer JM, et al Philips QT interval measurement algorithms for diagnostic ambulatory, and patient monitoring ECG applications. Ann Noninvasive Electrocardiol 2009;14:53–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Dimopoulos S, Nicosia F, Turini D, et al Prognostic evaluation of QT‐dispersion in elderly hypertensive and normotensive patients. Pacing Clin Electrophysiol 2009;32:1381–1487. [DOI] [PubMed] [Google Scholar]
- 19. Anttonen O, Junttila J, Maury P, et al Differences in twelve‐lead electrocardiogram between symptomatic and asymptomatic subjects with short QT interval. Heart Rhythm 2009;6:267–271. [DOI] [PubMed] [Google Scholar]
- 20. Porthan K, Viitasalo M, Jula A, et al Predictive value of electrocardiographic QT interval and T‐wave morphology parameters for all cause and cardiovascular mortality in a general population sample. Heart Rhythm 2009;6:1202–1208. [DOI] [PubMed] [Google Scholar]
- 21. Lin YH, Lin LY, Chen YS, et al The association between T‐wave morphology and life‐threatening ventricular tachyarrhythmias in patients with congestive heart failure. Pacing Clin Electrophysiol 2009;32:1173–1177. [DOI] [PubMed] [Google Scholar]
- 22. Haarmark C, Hansen PR, Vedel‐Larsen E, et al The prognostic value of the Tpeak‐Tend interval in patients undergoing primary percutaneous coronary intervention for ST‐segment elevation myocardial infarction. J Electrocardiol 2009;42;555–560. [DOI] [PubMed] [Google Scholar]
- 23. Xue J, Gao W, Chen Y, Han X. Identify drug‐induced T wave morphology changes by a cell‐to‐electrocardiogram model and validation with clinical trial data. J Electrocardiol 2009;42:534–542. [DOI] [PubMed] [Google Scholar]
- 24. Maeda S, Nishizaki M, Yamawake N, et al Ambulatory ECG‐based T‐wave alternans and heart rate turbulence predict high risk of arrhythmic events in patients with old myocardial infarction. Circ J 2009;73:2223–2228. [DOI] [PubMed] [Google Scholar]
- 25. Sakaki K, Ikeda T, Miwa Y, et al Time‐domain T‐wave alternans measured from Holter electrocardiograms predicts cardiac mortality in patients with left ventricular dysfunction: A prospective study. Heart Rhythm 2009;6:332–337. [DOI] [PubMed] [Google Scholar]
- 26. Postema PG, Ritsema van Eck HJ, Opthof T, et al I K1 modulates the U‐wave: Insights in a 100‐year‐old enigma. Heart Rhythm 2009;6:393–400. [DOI] [PubMed] [Google Scholar]
- 27. Jain R, Dalal D, Daly A, et al Electrocardiographic features of arrhythmogenic right ventricular dysplasia. Circulation 2009;120:477–487. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Kirchhof P, Frans MR, Bardai A, Wilde AM. Giant T‐U waves precede Torsades de Pointes in long QT syndrome. J Am Coll Cardiol 2009;54:143–149. [DOI] [PubMed] [Google Scholar]
- 29. Hinterseer M, Beckmann BM, Thomson MB, et al Relation of increased short‐term variability of QT interval to congenital long‐QT syndrome. Am J Cardiol 2009;103:1244–1248. [DOI] [PubMed] [Google Scholar]
- 30. McLeod CJ, Ackerman MJ, Nishimura RA, et al Outcome of patients with hypertrophic cardiomyopathy and a normal electrocardiogram. J Am Coll Cardiol 2009;54;229–233. [DOI] [PubMed] [Google Scholar]
- 31. Michaelides AP, Stamatopoulos I, Antoniades C, et al ST segment “hump” during exercise testing and the risk of sudden cardiac death in patients with hypertrophic cardiomyopathy. Ann Noninvasive Electrocardiol 2009;14:158–164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Caselli L, Galanti G, Padeletti L, et al Diagnostic accuracy of extended‐length electrocardiogram in differentiating between athlete's heart and hypertrophic cardiomyopathy. J Electrocardiol 2009;42:636–641. [DOI] [PubMed] [Google Scholar]
- 33. Hombach V, Merkle N, Torzewski J, et al Electrocardiographic and cardiac magnetic resonance imaging parameters as predictors of a worse outcome in patients with idiopathic dilated cardiomyopathy. Eur Heart J 2009;30:2011–2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Papadakis M, Basavarajaiah S, Rawlins J, et al Prevalence and significance of T‐wave inversions in predominantly Caucasian adolescent athletes. Eur Heart J 2009;30:1728–1735. [DOI] [PubMed] [Google Scholar]
- 35. Okin PM, Oikarinen L, Viitasalo M, et al Prognostic value of changes in the electrocardiographic strain pattern during antihypertensive treatment. The Losartan intervention for end‐point reduction in hypertension study (LIFE). Circulation 2009;119:1883–1891. [DOI] [PubMed] [Google Scholar]
- 36. Okin PM. Serial evaluation of electrocardiographic left ventricular hypertrophy for prediction of risk in hypertensive patients. J Electrocardiol 2009;42:584–588. [DOI] [PubMed] [Google Scholar]
- 37. Szyszko A, Franceschini C, Gonzales‐Zuelgaray J. Reliability of a Holter‐based methodology for evaluation of sleep apnoea syndrome. Europace 2009;11:94–99. [DOI] [PubMed] [Google Scholar]
- 38. Lanza GA, Sgueglia A, Angeloni G, et al Prognostic value of heart rate turbulence and its relation to inflammation in patients with unstable angina pectoris. Am J Cardiol 2009;103:1066–1072. [DOI] [PubMed] [Google Scholar]
- 39. Stein PK, Deedwania P. Usefulness of abnormal heart rate turbulence to predict cardiovascular mortality in high‐risk patients with acute myocardial infarction and left ventricular dysfunction (from the EPHESUS study). Am J Cardiol 2009;103:1495–1499. [DOI] [PubMed] [Google Scholar]
- 40. Bauer A, Barthel P, Muller A, et al Risk prediction by heart rate turbulence and deceleration capacity in postinfarction patients with preserved left ventricular function: Retrospective analysis of 4 independent trials. J Electrocardiol 2009;42:597–601. [DOI] [PubMed] [Google Scholar]
- 41. Laukkanen JA, Makikallio TH, Rauramaa R, et al Asymptomatic ST‐segment depression during exercise testing and the risk of sudden cardiac death in middle‐aged men: A population‐based follow‐up study. Eur Heart J 2009;30:558–565. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Gorodeski EZ, Ishwaran H, Blackstone EH, et al Quantative electrocardiographic measures and long‐term mortality in exercise test patients with clinically normal resting electrocardiograms. Am Heart J 2009;158:61–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Leino J, Minkkinen M, Nieminen T, et al Combined assessment of heart rate recovery and T‐wave alternans during routine exercise testing improves prediction of total and cardiovascular mortality: The Finnish Cardiovascular Study. Heart Rhythm 2009;6:1765–1773. [DOI] [PubMed] [Google Scholar]
- 44. Perez MV, Dewey FE, Tan SY, et al Added value of a resting ECG neural network that predicts cardiovascular mortality. Ann Noninvasive Electrocardiol 2009;14:26–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Huang Z, Patel C, Li W, et al Role of signal‐averaged electrocardiograms in arrhythmic risk stratification of patients with Brugada syndrome: A prospective study. Heart Rhythm 2009;6:1156–1162. [DOI] [PubMed] [Google Scholar]
- 46. Mizobuchi M, Enjoji Y, Nakamura S, et al Ventricular late potential in patients with apparently normal electrocardiogram: Predictor of Brugada syndrome. Pacing Clin Electrophysiol 2009;33:266–273. [DOI] [PubMed] [Google Scholar]
- 47. Tikkanen JT, Anttonen O, Junttila MJ, et al Long‐term outcome associated with early repolarization on electrocardiography. N Engl J Med 2009;361:2529–2537. [DOI] [PubMed] [Google Scholar]
- 48. Merchant FM, Noseworthy PA, Weiner RB, et al Ability of terminal QRS notching to distinguish benign from malignant electrocardiographic forms of early repolarization. Am J Cardiol 2009;104:1402–1406. [DOI] [PubMed] [Google Scholar]
- 49. Haissaguerre M, Sacher F, Nogami A, et al Characteristics of recurrent ventricular fibrillation associated with inferolateral early repolarization: Role of drug therapy. J Am Coll Cardiol 2009;53:612–619. [DOI] [PubMed] [Google Scholar]
- 50. Jastrzebski M, Kukla P. Ischemic J wave: Novel risk marker for ventricular fibrillation? Heart Rhythm 2009;6:829–835. [DOI] [PubMed] [Google Scholar]
- 51. Niwano S, Wakisaka Y, Niwano H. Prognostic significance of frequent premature contractions originating from the ventricular outflow tract in patients with normal left ventricular function. Heart 2009;95:1230–1237. [DOI] [PubMed] [Google Scholar]
- 52. Gatzoulis KA, Karystinos G, Gialernios T, et al Correlation of noninvasive electrocardiography with invasive electrophysiology in syncope of unknown origin: Implications from a large syncope database. Ann Noninvasive Electrocardiol 2009;14:119–127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Homsi M, Alsayed L, Safadi B, et al Fragmented QRS complexes on 12‐lead ECG: A marker of cardiac sarcoidosis as detected by gandolinium cardiac magnetic resonance imaging. Ann Noninvasive Electrocardiol 2009;14:319–326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Haruta D, Matsuo K, Ichimaru S, et al Men with Brugada‐like electrocardiogram have higher risk of prostate cancer. Circ J 2009;73:63–68. [DOI] [PubMed] [Google Scholar]
