Spectral power density analysis of electrocardiographic changes due to NA- channel blockade in mice

Aim: Electrocardiographic (ECG) effect of class-I group antiarrhythmic drugs is known. Is it also supported by creating a mouse experimental animal model to investigate these known effects by applying advanced computer analysis? In this study, the answer to this question was sought. Material and Method: In this thesis study including in-vivo animal experiments under anesthesia, 32 male BALB / C mice with 4-6-month weight of 25-30 g were used. Nembutal (Na-pentobarbital) was administered in all experiments with an intraperitoneal (i.p) injection at a dose of 75 mg / kg. Four groups consisting of control group SF or quinidine (50 mg / kg) or Lidocaine (30 mg / kg) or Flecainide (20 mg / kg) were formed. Two-channel ECG recordings were made using very thin metal needle electrodes to minimize pain. Parallel to this, vital parameters such as body temperature and respiratory rate were recorded. The spectral power density analysis of the waves was done by using the computer programs. Findings: The quinidine PR interval, QRS complex and QJ used in our study extended PSD analysis in high frequency band significant decreases in power values (120-300 Hz) were observed. Examining the effects of lidocaine on ECG parameters did not affect the PR interval, QRS complex prolonged the time and caused a shortening in QJ distance. PSD analysis showed a decrease in power values in the high frequency band (120-300 Hz). When we look at the effects of flekainid, we found that the ECG has significantly affected PR interval, QRS complex and QJ interval. In the PSD analysis, we found the power values falling in the high frequency band (120-300 Hz). Results: In our study, we demonstrated the effects of kinidine, lidocaine and flekainid on various ECG parameters in anesthetized mice. In addition, as a result of PSD analyzes, we found that all of these drugs have significantly decreased power values in the range of 120-300 Hz, which we defined as high frequency band. We can explain the decrease in these power values with changes in the QRS complex in the light of the fact that all drugs affect the QRS complex and we know that the QRS complex is a high frequency component in the ECG.