Atrial Fibrillation Clinical Trial
Atrial fibrillation (Af) is the most common morbid event after open heart surgery. Its incidence ranges from 19% to 27%, as reported by the Society of Thoracic Surgeons database. Many groups have tried to understand and treat this difficult problem and have formulated different hypotheses to explain its origin. An imbalance of the autonomic nervous system after surgical intervention has been accepted as a major determinant for this morbidity. Ventral cardiac denervation is a fast and low-risk procedure. This intervention has shown significantly reduction of the incidence and severity of Af after routine coronary artery bypass surgery. This technique could be applied both on-pump or off-pump and used as an adjunctive procedure to achieve Af prophylaxis. However, the detailed mechanism remains unclear. Theoretically, heart receives its innervation from the autonomic nervous system (ANS) via the great vessels and pericardial attachment. The propensity and distribution of ANS nerve fibers are different in location. In this study, we would like to evaluate the ANS function after ventral cardiac denervation by using heart rate variability (HRV) and baroreflex (BRS) sensitivity. 30 patients proposed to have elective off-pump coronary artery bypass surgery are enrolled. After induction of anesthesia, the depth of anesthesia is controlled by inhalation agents and monitored by bispectral index. After the major cardiac operation, ventral cardiac denervation is performed by using electrocautery. The digital signals of heart rate and blood pressure are acquired before and after the surgical procedures under the same range of bispectral index (50~60). The paired HRV and BRS are analyzed. This will provide us more information to justify the procedure.
Coronary artery bypass and ventral cardiac denervation:
Off-pump coronary artery bypass (OPCAB) is performed based on patient's coronary
angiography. Following the completion of coronary anastomoses, ventral cardiac denervation
is achieved by removing the nerves around the large vessels of the base of the heart that
run from the right side of the superior vena cava and end at the level of the midportion of
the anterior pulmonary artery. This was done by excising the fat pads that surround the
superior vena cava, the aorta, and the anterior and right lateral aspects of the main
pulmonary artery.
Hemodynamic study:
All patients underwent OPCAB have Swan-Ganz catheter in our institute. Cardiac output
measurement is obtained by thermodilution method. Hemodynamic variables (systemic blood
pressure, pulmonary artery pressure, central venous pressure, pulmonary capillary wedge
pressure, systemic vascular resistance, and pulmonary vascular resistance, etc) are recorded
during the measurement.
ECG and blood pressure monitoring system:
ECG and radial arterial blood pressure were recorded by an analog to digital converter
system (National Instrument Inc.). The analog signals were digitized in a rate of 500Hz and
were stored in a hard disk. The data were then analyzed by a program written with MATLAB
language (version 5.2, MATHWORK Co.). QRS complexes were automatically classified and
manually verified as normal sinus rhythm, arterial or ventricular premature beats, or noise
by comparison of the adjacent QRS morphologic features. The N-N interval time series were
then transferred to a personal computer and post-processed.
Data acquisitions:
Immediately after induction of anesthesia, the patient was intubated. Routine indwelling
catheters, like CVP and SG catheter were inserted. Prior to skin incision, the depth of
anesthesia was monitored by BIS system using bispectral index (60~70) and adjusted by
inhalation agents. Digital ECG and BP signals were recorded for 15 min without any
mechanical or pharmacological interference. After completion of surgical procedures, the
data acquisition was repeated once again in the operation room under the same level of
anesthesia.
Baroreflex sensitivity analysis:
The analysis of BRS was conducted by both the sequence method and the spectral (α-index)
method. Sequence method: In brief, the beat-by-beat time series of systolic arterial blood
pressure and ECG R-R intervals were scanned to identify sequences of over three consecutive
beats in which the systolic blood pressure (SBP) and R-R intervals of the next beat changed
concomitantly in increasing or decreasing sequence. Such beat-to-beat sequences were
identified as baroreflex sequences. A linear regression was applied to the individual
sequence and only r2 values >0.85 were accepted. The measure of each type of the integrated
spontaneous BRS was obtained by averaging all accepted slopes of the same type during a
5-minute recording. Spectral (α-index) method: The α-index (α) was obtained by means of the
simultaneous spectral analysis of the R-R intervals and the SBP variabilities, with the
calculation being made from the square root of the ratio between the R-R intervals and the
SBP variability in low frequency (LF) band (αLF, 0.04 to 0.15 Hz). The coherence between the
R-R intervals and SBP was assessed by a cross-spectral analysis. The α-index was calculated
only when the magnitude of squared coherence (K2) between the RR and the SBP signals exceed
0.5 in LF band.
Heart rate variability analysis:
The missing intervals of the raw N-N data were linearly interpolated and resampled at 4 Hz
by the Ron-Berger method. Each 5-minute segment of N-N intervals was taken for HRV analysis.
The time domain measurements of HRV included SDNN, r-MSSD. The frequency-domain measurements
of HRV included LF and HF, which were calculated by Welch's averaged periodogram of the N-N
intervals.
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Allocation: Randomized, Endpoint Classification: Safety/Efficacy Study, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Treatment
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