Objective: In order to achieve an accurate intraoperative ECG detection, a new technique in detecting the trigger-signal was developed. In contrast to the traditional three-lead ECG-configuration, the left leg electrode was connected to a transient epicardial pacemaker electrode on the left-ventricular surface.
Background Data: The Holmium:YAG-Laser for Transmyocardial Laser Revascularization (TMLR) is R-wave-triggered, providing the release of energy only during the refractory period of the heart cycle. However, an exact ECG-triggering during mobilization of the apex and/or posterior wall is difficult to achieve by using conventional ECG-configuration, therefore increasing the risk for mistriggering and induction of arrhythmias during TMLR.
Materials And Methods: Two groups of patients, all undergoing stand alone TMLR-procedures via left minithoracotomy, were compared. Ten patients were operated with the conventional ECG configuration (group 1) and ten patients with the modified epicardial ECG configuration (group 2).
Results: In patients of group 1, as a result of a loss of the trigger signal or due to the triggering of artifacts, the incidence of correctly triggered QRS-complexes was 56% of all documented QRS-complexes. In contrast, an excellent triggering was observed in 98% (p < 0.001) in group 2, resulting in a reduction of laser operative time by 35% (p < 0.001) and a decrease in the incidence of intraoperative ventricular fibrillation (0 vs. 3).
Conclusion: In conclusion, this new ECG configuration is a simple but effective method in achieving an excellent ECG signal during all stages of TMLR. As a consequence, a reduction in operative time and incidence of ventricular fibrillation can be achieved.
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http://dx.doi.org/10.1089/104454703321895590 | DOI Listing |
Phys Chem Chem Phys
December 2024
Department of Chemistry, CMS College Kottayam (Autonomous) Mahatma Gandhi University, Kottayam, Kerala, 686001, India.
A detailed theoretical study delving into the molecular mechanisms of the Ullmann-type -arylation reactions catalyzed by manganese and zinc metal ions has been investigated with the aid of the density functional theory (DFT) method. In contrast to the redox-active mechanisms proposed for classical Ullmann-type condensation reaction, a redox-neutral mechanism involving σ-bond metathesis emerged as the most appealing pathway for the investigated high-valent Mn(II) and Zn(II)-catalyzed -arylation reactions. The mechanism remains invariant with respect to the nature of the central metal, ligand, base, This unusuality in the mechanism has been dissected by considering three cases: ligand-free and ligand-assisted Mn(II)-catalyzed -arylation reaction and ligand-assisted Zn(II)-catalyzed -arylation reactions.
View Article and Find Full Text PDFPhys Imaging Radiat Oncol
October 2024
Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
Background And Purpose: Patients with cardiac implantable electronic devices (CIED patients) are often ineligible for online magnetic resonance-guided radiotherapy (MRgRT), most likely due to the absence of established guidelines. Existing radiotherapy (RT) and magnetic resonance imaging (MRI) guidelines offer an opportunity to construct MRgRT protocols, promoting equitable access. Our objective was to present such a workflow, share multi-institutional experiences treating CIED patients with MRgRT on a 1.
View Article and Find Full Text PDFFront Cardiovasc Med
November 2024
Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
Background: Ventricular fibrillation (VF) is the deadliest arrhythmia, often caused by myocardial ischaemia. VF patients require urgent intervention planned quickly and non-invasively. However, the accuracy with which electrocardiographic (ECG) markers reflect the underlying arrhythmic substrate is unknown.
View Article and Find Full Text PDFBioengineering (Basel)
October 2024
Cardiovascular Centre, Jichi Medical University, Shimotsuke 329-0498, Japan.
Recent studies highlight artificial intelligence's ability to identify ventricular dysfunction via electrocardiograms (ECGs); however, specific indicative waveforms remain unclear. This study analysed ECG and echocardiography data from 17,422 cases in Japan and Germany. We developed 10-layer convolutional neural networks to detect left ventricular ejection fractions below 50%, using four-fold cross-validation.
View Article and Find Full Text PDFJ Electrocardiol
November 2024
University of Rochester School of Nursing, USA; University of Rochester Medical Center, USA.
Background: Chest pain is the second most common reason to present to the emergency department in the United States, and the ECG is a first-line diagnostic tool for myocardial ischemia assessment. For patients with ongoing symptoms or unclear initial ECGs, guidelines recommend performing multiple standard ECGs at 15-30-min intervals during the first 1-2 h, which improves acute coronary syndrome (ACS) detection by 15 % and accelerates triage of high-risk ACS patients. However, obtaining serial ECG is not consistently practiced due to overcrowding and the limited technical abilities of current 12‑lead ECG machines.
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