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Published on: January 7, 2019
Signal-averaged ECG in patients with antidepressant therapy
B Mladosievicova1, I Hulin, J Pogady
1Institute of Pathophysiology, School of Medicine, Comenius University, Bratislava, Slovak Republic.
Signal-averaged electrocardiography (SAECG) can detect arrhythmia risks. This study shows that sodium channel blocking antidepressants significantly alter SAECG parameters, suggesting SAECG
Area of Science:
- Cardiology
- Psychopharmacology
- Medical Technology
Background:
- Signal-averaged electrocardiography (SAECG) is used to identify patients at risk of ventricular arrhythmias and sudden cardiac death.
- Tricyclic antidepressants share pharmacological similarities with class I antiarrhythmics, raising concerns about potential proarrhythmic effects.
- The influence of sodium channel blocking antidepressants on SAECG parameters requires further investigation.
Purpose of the Study:
- To evaluate the impact of sodium channel blocking antidepressant drugs on time-domain parameters of SAECG.
- To assess changes in SAECG variables before and after initiating antidepressant therapy in depressed patients.
- To explore the potential of SAECG in risk stratification of psychiatric patients undergoing antidepressant treatment.
Main Methods:
- Signal-averaged electrocardiography (SAECG) was performed on 11 depressed patients with normal cardiac status.
- SAECG measurements were taken before and after 4 weeks of antidepressant initiation.
- High-pass filters of 25 Hz and 40 Hz were utilized to analyze SAECG time-domain parameters.
Main Results:
- Antidepressant therapy significantly worsened SAECG parameters, including prolonged filtered QRS duration and reduced root mean square voltages.
- Both 25 Hz and 40 Hz high-pass filters revealed similar adverse effects on SAECG variables.
- Late potentials (LP) were induced by amitriptyline and maprotiline in 2 patients at a 40 Hz filter setting.
Conclusions:
- Sodium channel blocking antidepressants can significantly affect SAECG variables, mirroring effects seen with class I antiarrhythmics.
- SAECG may serve as a valuable tool for categorizing antidepressant agents and stratifying cardiac risk in psychiatric patients.
- This pilot study highlights the importance of monitoring cardiac electrophysiology during antidepressant therapy.
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