Objective: The Cardiac Arrhythmia Suppression Trial II showed that moricizine acutely increases the occurrence of sudden cardiac death. Thus the objective of this investigation was to evaluate the antifibrillatory properties of moricizine (a new antiarrhythmic agent) alone and in combination with lidocaine (an established antifibrillatory agent).
Design: Prospective, double-blind, randomized, placebo-controlled trial.
Setting: Laboratory at a large, university-affiliated medical center.
Subjects: Eighteen domestic farm swine with a mean weight of 39 +/- 5 kg.
Interventions: After pentobarbital anesthesia, the animals were instrumented. A bipolar pacing catheter was placed in the right ventricular apex and a pig-tail catheter was placed in the aortic arch for induction of ventricular fibrillation and aortic blood pressure monitoring. Subsequently, the pigs were randomized to moricizine or control (0.9% saline) groups. Each group underwent three treatment phases: baseline, drug (moricizine 2 mg/kg loading dose, 1.5 mg/kg/hr infusion, or saline bolus and infusion), and drug combined with lidocaine (5 mg/kg loading dose, 4 mg/kg/hr infusion). Ventricular fibrillation threshold was determined every 5 to 10 mins over a 1-hr period during each treatment phase.
Results: Ventricular fibrillation threshold values in the animals randomized to control were 16.8 +/- 7.6, 18.1 +/- 8.9, and 23.9 +/- 10.4 mA at baseline during saline infusion, and when saline was combined with lidocaine, respectively. The values during the saline-lidocaine combination treatment phase were significantly greater than the values at baseline and during saline treatment alone (p < .001). Ventricular fibrillation threshold values in the animals randomized to receive moricizine were 15.5 +/- 4.4, 18.1 +/- 5.1, and 21.1 +/- 8.4 mA at baseline, during moricizine infusion, and when moricizine was combined with lidocaine. The values during the lidocaine-moricizine combination treatment phase were significantly greater than values at baseline (p = .005), but not during moricizine treatment alone (p = .16). The increase in ventricular fibrillation threshold from baseline to moricizine (17%) was similar to the increase from baseline to saline (7%), p = .37. The increase in ventricular fibrillation threshold when lidocaine was added to moricizine (13%) was less than the increase with lidocaine alone (32%), p = .05.
Conclusion: In this experimental model, moricizine, at the dose studied, lacked antifibrillatory properties. Moreover, moricizine did not contribute to the antifibrillatory effects of lidocaine.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/00003246-199310000-00029 | DOI Listing |
Cureus
December 2024
Internal Medicine, University of Health Sciences, Lahore, PAK.
Acute coronary syndrome (ACS) remains a major global health burden, encompassing a spectrum of conditions from unstable angina to acute myocardial infarction. Despite advancements in early detection and management, ACS is often complicated by the development of heart failure. This systematic review and meta-analysis aimed to identify factors associated with the development of heart failure following acute coronary syndrome.
View Article and Find Full Text PDFFront Cardiovasc Med
January 2025
Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Introduction: The risk of mortality associated with cardiac arrhythmias is considerable, and their diagnosis presents significant challenges, often resulting in misdiagnosis. This situation highlights the necessity for an automated, efficient, and real-time detection method aimed at enhancing diagnostic accuracy and improving patient outcomes.
Methods: The present study is centered on the development of a portable deep learning model for the detection of arrhythmias via electrocardiogram (ECG) signals, referred to as CardioAttentionNet (CANet).
Heliyon
January 2025
Department of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche, Ancona, 60131, Italy.
Background: Deep-learning applications in cardiology typically perform trivial binary classification and are able to discriminate between subjects affected or not affected by a specific cardiac disease. However, this working scenario is very different from the real one, where clinicians are required to recognize the occurrence of one cardiac disease among the several possible ones, performing a multiclass classification. The present work aims to create a new interpretable deep-learning tool able to perform a multiclass classification and, thus, discriminate among several different cardiac diseases.
View Article and Find Full Text PDFEur J Med Res
January 2025
Department of Cardiology, Renmin Hospital of Wuhan University; Institute of Molecular Medicine, Renmin Hospital of Wuhan University; Hubei Key Laboratory of Autonomic Nervous System Modulation; Taikang Center for Life and Medical Sciences, Wuhan University; Cardiac Autonomic Nervous System Research Center of Wuhan University; Hubei Key Laboratory of Cardiology; Cardiovascular Research Institute, Wuhan University, No.238 Jiefang Road, Wuhan, Hubei, 430060, People's Republic of China.
Background: Clinical studies on atrial fibrillation (AF) recurrence after catheter ablation in patients diagnosed with patent foramen ovale (PFO) and paroxysmal AF (PAF) are scarce. Here, we aimed to develop a nomogram model utilizing multimodal data for the risk stratification of AF recurrence following catheter ablation in individuals diagnosed with PFO and new-onset PAF.
Methods: Patients with PFO and PAF who underwent catheter ablation at the Renmin Hospital of Wuhan University from January 2018 to June 2020 were consecutively enrolled.
A A Pract
January 2025
From the Department of Anesthesia and Perioperative Medicine, University of California Los Angeles (UCLA) David Geffen School of Medicine, UCLA Health System, Los Angeles, California.
Management of refractory ventricular fibrillation (VF) in patients with implantable implantable cardioverter defibrillator (ICD) presents a therapeutic challenge. We present a case of pediatric refractory ventricular tachycardia (VT)/Torsade de Pointe managed effectively with bilateral stellate ganglion block (SGB) with a long-acting local anesthetic for 18 days as a bridge to more definitive surgical management.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!