A major advantage of the transradial approach during catheterization is that access site complications are significantly lower than the transfemoral [ 1 Kiemeneij F. Laarman G.J. Odekerken D. Slagboom T. van der Wieken R. A randomized comparison of percutaneous transluminal coronary angioplasty by the radial, brachial and femoral approaches: the access study. JACC. 1997; 29: 1269-1275 Abstract Full Text Full Text PDF PubMed Scopus (839) Google Scholar , 2 Mann T. Cubeddu G. Bowen J. Schneider J. Arrowood M. Newman W. et al. Stenting in acute coronary syndromes: a comparison of radial vs. femoral access sites. JACC. 1998; 32: 572-576 Abstract Full Text Full Text PDF PubMed Scopus (289) Google Scholar , 3 Mann T. Cowper P.A. Peterson E.D. Cubeddu G. Bowen J. Giron L. et al. Transradial coronary stenting: comparison with femoral access closed with an arterial suture device. Catheter. Cardiovasc. Interv. 2000; 49: 150-156 Crossref PubMed Scopus (142) Google Scholar ]. We report an unusual radial artery access site complication which is associated with the hydrophilic gel coating of the arterial sheath.
EUROPACE(Qol) assessment, the repetitive Halter ECG monitoring, exercise ECG-tests, electrophysiological study, and were included into the study protocol.In the case of lethal outcome, the data of necropsy were analyzed. Results:Tne functional state dynamics of the patients with SSS during the follow-up period (W) Tne patient state according the data of long-term follow-up Stable hnpro"eme"t Deterioration Lethal outcome sss-1 sss-2 36,44 38,82 11,02 16,47 39,83 35,29 12,71 9,41 Pacemakers were implanted in 57 patients.The permanent AF developed in 30 patients with the SSS (in 26 patients, in group SSS-1 and, in 4 ones, in the group SSS-2).The most frequent causes of lethal outcome were myocardial infarction, stroke, pulmonary thromboembolism, and cancer. Conclusion:The SSS is characterized by a slowly progressive clinical course, that, in 28% of patients, within 10 years leads to the necessity of the pacemaker implantation.The AF is associated with a poorer of the patients with SSS.
The purpose of this study was the evaluation of Morlet wavelet analysis of the P wave as a means of predicting the development of atrial fibrillation (AF) in patients who undergo coronary artery bypass grafting (CABG). The P wave was analyzed using the Morlet wavelet in 50 patients who underwent successful CABG. Group A consisted of 17 patients, 12 men and 5 women, of mean age 66.9 +/- 5.9 years, who developed AF postoperatively. Group B consisted of 33 patients, 29 men and 4 women, mean age 62.4 +/- 7.8 years, who remained arrhythmid-free. Using custom-designed software, P wave duration and wavelet parameters expressing the mean and maximum energy of the P wave were calculated from 3-channel digital recordings derived from orthogonal ECG leads (X, Y, and Z), and the vector magnitude (VM) was determined in each of 3 frequency bands (200-160 Hz, 150-100 Hz and 90-50 Hz). Univariate logistic-regression analysis identified a history of hypertension, the mean and maximum energies in all frequency bands along the Z axis, the mean and maximum energies (expressed by the VM) in the 200-160 Hz frequency band, and the mean energy in the 150-100 Hz frequency band along the Y axis as predictors for post-CABG AF. Multivariate analysis identified hypertension, ejection fraction, and the maximum energies in the 90-50 Hz frequency band along the Z and composite-vector axes as independent predictors. This multivariate model had a sensitivity of 91% and a specificity of 65%. We conclude that the Morlet wavelet analysis of the P wave is a very sensitive method of identifying patients who are likely to develop AF after CABG. The occurrence of post-CABG AF can be explained by a different activation pattern along the Z axis.
Spontaneous ventricular sensed QA were higher with B polarity (p=O.O4).Unwanted QA sensed in the atrium were lower with B sensing @=O.OOZ). WILl Mean U Median B Mean B Median UB Mean UB Median v pace v pace Vcntr.channel Atria1 channel 0.32+0.14 2
In the present study, Wavelet analysis of P wave for the prediction of Atrial Fibrillation after CABG is evaluated. Continuous Wavelet Transform is applied to ECG and Mean/Max parameters are calculated within the P window for different frequency bands. Thus, 24 parameters are available, which, along with the 4 window lengths (corresponding to P wave length of X, Y, Z, V signals), make a pool of available parameters to be used for classification. Linear regression is used for the classification of the two groups and bootstrapping is applied in order to enhance statistical robustness. The features to be used in the regression model are selected from the pool of available parameters by use of an iterative procedure. The outcome of the feature selection procedure shows that X and Z-axis features as well as vector-magnitude features are the most important ones for the prediction of Atrial Fibrillation after CABG.