BACKGROUND: In congestive heart failure (CHF), autonomic nervous system (ANS) activity is known to modulate arrhythmic risk through its effects on myocardial repolarization. An increased interval between the peak and the end of the T wave (T(peak)-T(end)) has been reported to increase the incidence of sudden cardiac death. However, the ANS influence on the T(peak)-T(end) interval remains unclear. OBJECTIVE: We directly measured ANS nerve activity in ambulatory dogs with pacing-induced CHF to test the hypothesis that ANS activity modulates the T(peak)-T(end) variability index (T(peak)-T(end)VI), the short-term variability of the T(peak)-T(end) interval obtained on 30 beats (T(peak)-T(end)STV(30)), and the short-term variability of the T(peak)-T(end) interval obtained on 5-minute ECG recording (T(peak)-T(end)STV(T)). METHODS: By using data previously recorded in 6 ambulatory dogs before and after pacing-induced CHF, we assessed ANS activity recorded with an implanted radiotransmitter that monitored integrated left stellate ganglion nervous activity (iSGNA), integrated vagus nerve activity (iVNA), and electrocardiogram (ECG). We selected for analysis 36 segments recorded at baseline and 36 after pacing-induced CHF with similar iSGNA. RESULTS: During CHF, T(peak)-T(end)STV(30) (P<.001) and T(peak)-T(end)STV(T) (P<.05) were significantly higher than those at baseline. The multiple linear mixed regression analysis disclosed a significant positive correlation between iSGNA and T(peak)-T(end)STV(T) (baseline: β 2.92, P<.001; CHF: β 1.13, P<.001) and a significant negative correlation between iVNA and T(peak)-T(end)STV(T) (baseline: β-6.74, P<.001; CHF: β-1.42, P< .001). CONCLUSIONS: In a canine model of pacing-induced CHF, iSGNA correlates positively while iVNA correlates negatively with T(peak)-T(end)STV(T). These findings suggest that SGNA increases while VNA decreases the dispersion of ventricular repolarization in ambulatory dogs with CHF.
BACKGROUND: In congestive heart failure (CHF), autonomic nervous system (ANS) activity is known to modulate arrhythmic risk through its effects on myocardial repolarization. An increased interval between the peak and the end of the T wave (T(peak)-T(end)) has been reported to increase the incidence of sudden cardiac death. However, the ANS influence on the T(peak)-T(end) interval remains unclear. OBJECTIVE: We directly measured ANS nerve activity in ambulatory dogs with pacing-induced CHF to test the hypothesis that ANS activity modulates the T(peak)-T(end) variability index (T(peak)-T(end)VI), the short-term variability of the T(peak)-T(end) interval obtained on 30 beats (T(peak)-T(end)STV(30)), and the short-term variability of the T(peak)-T(end) interval obtained on 5-minute ECG recording (T(peak)-T(end)STV(T)). METHODS: By using data previously recorded in 6 ambulatory dogs before and after pacing-induced CHF, we assessed ANS activity recorded with an implanted radiotransmitter that monitored integrated left stellate ganglion nervous activity (iSGNA), integrated vagus nerve activity (iVNA), and electrocardiogram (ECG). We selected for analysis 36 segments recorded at baseline and 36 after pacing-induced CHF with similar iSGNA. RESULTS: During CHF, T(peak)-T(end)STV(30) (P<.001) and T(peak)-T(end)STV(T) (P<.05) were significantly higher than those at baseline. The multiple linear mixed regression analysis disclosed a significant positive correlation between iSGNA and T(peak)-T(end)STV(T) (baseline: β 2.92, P<.001; CHF: β 1.13, P<.001) and a significant negative correlation between iVNA and T(peak)-T(end)STV(T) (baseline: β-6.74, P<.001; CHF: β-1.42, P< .001). CONCLUSIONS: In a canine model of pacing-induced CHF, iSGNA correlates positively while iVNA correlates negatively with T(peak)-T(end)STV(T). These findings suggest that SGNA increases while VNA decreases the dispersion of ventricular repolarization in ambulatory dogs with CHF.
Authors: Fatima El-Hamad; Michal Javorka; Barbora Czippelova; Jana Krohova; Zuzana Turianikova; Alberto Porta; Mathias Baumert Journal: Med Biol Eng Comput Date: 2019-06-11 Impact factor: 2.602
Authors: G Piccirillo; F Moscucci; R Pofi; G D'Alessandro; M Minnetti; A M Isidori; D Francomano; A Lenzi; P E Puddu; J Alexandre; D Magrì; A Aversa Journal: J Endocrinol Invest Date: 2019-03-05 Impact factor: 4.256