Effects of exposure to hypoxia on the signal-averaged electrocardiogram in healthy subjects

Roche, Frédéric; Barthélemy, Jean; Adamec, Richard; Geyssant, A.; Lacour, J. R.

doi:10.1093/oxfordjournals.eurheartj.a060948

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…B. der Untersuchung der Herzfrequenzvariabilität oder der Analyse der Anzahl der ventrikulären Extrasystolen pro Stunde, kann die Prädiktivität nur unter Verlust der Sensitivität erhöhen (15). Experimentelle Untersuchungen zeigten, daß die Ergebnisse der Spätpotentialana-lyse durch funktionelle Veränderungen bei Herzfrequenzbeschleunigungen (27,31,32,39) oder bei Myokardischämie (19,34,39) beeinflußt werden können. Die vorliegende Studie untersucht retrospektiv, ob sich unter provozierter Myokardischämie oder erhöhter Herzfrequenz Einflüsse auf eine Spätpotentialanalyse insbesondere bei Patienten mit überlebtem Kammerflimmern zeigen und inwiefern eine Analyse funktioneller Spätpotentialveränderungen im Belastungs-oder Langzeit-EKG Vorteile gegenüber einer Analyse in Ruhe aufweisen könnte.…”

Section: Functional Late Potential Analysis For Risk Stratification Iunclassified

Analyse funktioneller Veränderungen ventrikulärer Spätpotentiale zur Risikoabschätzung von Kammertachykardien nach Herzinfarkt

Steinbigler¹,

Haberl²,

Jilge³

et al. 1998

Z Kardiol

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Section: Functional Late Potential Analysis For Risk Stratification Iunclassified

Analyse funktioneller Veränderungen ventrikulärer Spätpotentiale zur Risikoabschätzung von Kammertachykardien nach Herzinfarkt

Steinbigler¹,

Haberl²,

Jilge³

et al. 1998

Z Kardiol

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Signal‐Averaged Electrocardiogram: Update 1997

Mäkijärvi

Breithardt

Reinhardt

et al. 1997

Noninvasive Electrocardiol

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Background: During the last 10 years, the signal-averaged electrocardiographic (SAECG) method has been proposed for a growing amount of clinical applications. As a screening method for increased risk of life-threatening ventricular arrhythmias it has demonstrated its value especially in risk stratification after myocardial infarction (MI) and in the evaluation of patients with unexplained syncope. Its value in risk prediction is now also proven in patients treated with thrombolytic therapy. Methods:In patients with dilated cardiomyopathy, hypertrophic cardiomyopathy, and arrhythmogenic right ventricular cardiomyopathy, the SAECG is helpful for detecting propensity to spontaneous ventricular tachycardia. P wave signal averaging has been demonstrated to identify patients with propensity to atrial arrhythmias, especially atrial fibrillation. Also, the diagnosis of sick sinus syndrome can be enhanced using this method.Results: So far, the use of SAECG in other patient populations except coronary heart disease has been very limited. However, the results of the recent studies recommend the utilization of this technique also in children and in the elderly, adjusting the findings with the effects of body size and age on the SAECG. Conclusions: The SAECG has a definite independent role in improving the predictive accuracy of conventional risk-evaluation techniques in patients with MI or cardiomyopathy. New patient populations like children and the elderly enlarge the number of patients benefiting of this method. New clinical applications of the SAECG method, such as detection of the propensity to atrial arrhythmias, ischemia and drug effects, are currently merging. Combining the time-and frequencydomain analysis of the SAECG with other methods relevant for the clinical problem is the way to optimize the use of this sophisticated noninvasive technique in clinical practice. A.N.E. 1997;2(4):384-393 signal-averaged electrocardiogram; dilated cardiomyopathy; arrhythmic cardiomyopathy; arrhythmogenic right ventricular cardiomyopathy Address for reprints: M. Makijawi, M.D.,

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Late Potentials in Healthy Subjects

Toft

Rasmussen

Hesse

et al. 1997

Noninvasive Electrocardiol

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Objective: Criteria for detection of late potentials have not yet been standardized, but the criteria recommended by ESC/AHA/ACC are widely used. In this investigation, the prevalence of late potentials is studied in an age stratified healthy population with likelihood of coronary artery disease < 5%. Relation between signal‐averaged variables and clinical variables was studied. Methods: Signal‐averaged ECGs were recorded using Butterworth filters at 40 and 250 Hz. The following three time‐domain parameters were evaluated: QRS duration (duration of the amplified, filtered QRS complex); LPD (duration of the late potentials, i.e., duration from the point of time when the magnitude of the main complex becomes lower than 40 μV); and RMS40 (root mean square of the activity within the last 40 ms of the amplified, filtered QRS complex). Results: QRS duration was significantly longer in men than in women, and was correlated to the mass of the left ventricle (LVM). The combination LPD and RMS40 gave the highest prevalence of late potentials. The prevalence of late potentials was 25%. Conclusion: Standard criteria should be used with great caution, and normal limits should be established in each laboratory to a preselected noise level. QRSD should be included within the definition of reference limits and should be gender matched. Even though there is correlation between LVM and the QRSD, the upper normal limit of QRSD based on LVM matching is unchanged.

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Effects of exposure to hypoxia on the signal-averaged electrocardiogram in healthy subjects

Abstract: KEY WORDS: Signal-averaged electrocardiogram, normobaric hypoxia, ventricular late potentials.

Cited by 3 publications

References 24 publications

Analyse funktioneller Veränderungen ventrikulärer Spätpotentiale zur Risikoabschätzung von Kammertachykardien nach Herzinfarkt

Analyse funktioneller Veränderungen ventrikulärer Spätpotentiale zur Risikoabschätzung von Kammertachykardien nach Herzinfarkt

Signal‐Averaged Electrocardiogram: Update 1997

Late Potentials in Healthy Subjects

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