P951
Autonomic nervous function and excitability of the accessory pathway in pediatric patients with Wolff-Parkinson-White ECG
EP Europace Journal

Abstract
Abrupt loss of preexcitation identifies low-risk Wolff-Parkinson-White (WPW). We hypothesize that the autonomous nervous system (ANS) modulates the conduction of the accessory pathway (AP).
PURPOSE
To compare heart rate variability (HRV) in children with (WPWi) and without (WPWp) intermittent preexcitation.
METHODS
The study conforms to the Declaration of Helsinki.
18 WPW children and controls performed ECG Holter for HRV analysis. Intermittent preexcitation was defined as abrupt loss of WPW pattern. Kolmogorov-Smirnov test confirmed normal distribution of data. T-test and Fisher"s exact test were used for continuous and categorical variables. Multivariate regression excluded the effect of potential confounders (figure 1 shows correlation between HRV and HR).
RESULTS
WPWi (11/18, 61.1%) have higher HRV as compared with WPWp. Despite WPWp patients are younger, with higher HR, corrected multivariate analysis confirmed significant differences (table 1), also between WPW patients and controls.
CONCLUSIONS
WPW patients have lower HRV. WPWp may have worst autonomic control to the excitability of AP.
Table 1 P values from multivariate analysis and t-test for age and HR. HR: heart rate; WPWi: intermittent preexcitation; WPWp: persistent preexcitation; VarIndex%: variability index (%); SVB: supraventricular beats; SVT: supra ventricular tachycardia. Values are expressed as mean ± SD for age, HR and time domain variables (ms). Variables in the frequency domain are expressed as ln. P <0.05: significant.WPW (n = 18) WPWi (n = 11) WPWp (n = 7) Controls (n = 18) P value P value P value P value Age 7.6 ± 4 10.1 ± 4.2 4.1 ± 2.9 7.8 ± 4.7 0.9 <0.01 0.1 0.03 24 hours mean HR 92.8 ± 15.9 81.1 ± 11.2 104.9 ± 12.6 90.3 ± 16.5 0.7 <0.01 0.03 0.07 pNN50 20 ± 11.4 30.5 ± 11.8 14.7 ± 9.9 24.3 ± 13.4 <0.001 <0.001 <0.001 <0.001 RMSSD 53 ± 19.1 68.8 ± 21.4 44.6 ± 14.7 59.4 ± 22.2 <0.001 <0.001 <0.001 <0.01 ASDNN 64.9 ± 21.1 78.4 ± 20.7 48.8 ± 11.8 66.9 ± 22.9 <0.001 <0.001 <0.001 <0.001 SDANN 108.2 ± 39.8 127.9 ± 36 77.5 ± 16.9 108.3 ± 38.8 <0.001 <0.01 <0.001 <0.01 VLF 7.4 ± 0.8 7.8 ± 0.4 6.9 ± 0.5 7.5 ± 0.6 <0.001 <0.001 <0.001 <0.001 LF 6.8 ± 0.8 7.3 ± 0.4 6.4 ± 0.4 6.9 ± 0.6 <0.001 <0.001 <0.001 <0.001 HF 6.6 ± 0.8 7.1 ± 0.7 6.2 ± 0.6 6.7 ± 0.8 <0.001 <0.01 <0.001 <0.01 LF/HF 1.4 ± 0.8 1.4 ± 0.7 1.4 ± 0.6 1.4 ± 0.6 0.2 0.3 0.05 0.7 VarIndex% 4.8 ± 1.4 5.8 ± 1.2 4.4 ± 1.4 5.3 ± 1.4 <0.001 <0.01 <0.01 <0.01 Total Power 8.2 ± 0.7 8.6 ± 0.4 7.8 ± 0.4 8.3 ± 0.6 <0.001 <0.001 <0.001 <0.001 Frequent SVB 2 (11%) 1 (9.1%) 1 (14%) 0 0.5 1.0 0.4 0.3 SVT 1 (5.6%) 1 (9.1%) 0 0 n.a. n.a. n.a. n.a.
Abstract Figure 1
Contributors

A Galli
Author

M Lippolis
Author

E Barbolini
Author

M Belmonte
Author

F Ambrosini
Author

E Gherbesi
Author

G B Chierchia
Author

C De Asmundis
Author

F Lombardi
Author
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