The Brugada Syndrome - Diagnosis, Clinical Implications and Risk Stratification

Symmetric Projection Attractor Reconstruction analysis of murine electrocardiograms: Retrospective prediction of Scn5a+/- genetic mutation attributable to Brugada syndrome

Background

Life-threatening arrhythmias resulting from genetic mutations are often missed in current electrocardiogram (ECG) analysis. We combined a new method for ECG analysis that uses all the waveform data with machine learning to improve detection of such mutations from short ECG signals in a mouse model.

Objective

We sought to detect consequences of Na⁺ channel deficiencies known to compromise action potential conduction in comparisons of Scn5a^+/- mutant and wild-type mice using short ECG signals, examining novel and standard features derived from lead I and II ECG recordings by machine learning algorithms.

Methods

Lead I and II ECG signals from anesthetized wild-type and Scn5a^+/- mutant mice of length 130 seconds were analyzed by extracting various groups of features, which were used by machine learning to classify the mice as wild-type or mutant. The features used were standard ECG intervals and amplitudes, as well as features derived from attractors generated using the novel Symmetric Projection Attractor Reconstruction method, which reformulates the whole signal as a bounded, symmetric 2-dimensional attractor. All the features were also combined as a single feature group.

Results

Classification of genotype using the attractor features gave higher accuracy than using either the ECG intervals or the intervals and amplitudes. However, the highest accuracy (96%) was obtained using all the features. Accuracies for different subgroups of the data were obtained and compared.

Conclusion

Detection of the Scn5a^+/- mutation from short mouse ECG signals with high accuracy is possible using our Symmetric Projection Attractor Reconstruction method.

Approach to Ventricular Arrhythmias in the Intensive Care Unit

Arrhythmias are commonly encountered in the intensive care unit as a primary admitting diagnosis or secondary to an acute illness. Appropriate identification and treatment of ventricular arrhythmias in this setting are particularly important to reduce morbidity and mortality. This review highlights the epidemiology, mechanisms, electrocardiographic features, and treatment of ventricular arrhythmias.

Peripartum anaesthetic management of a patient with Brugada syndrome and myoadenylate deaminase deficiency

Brugada syndrome is a rare electrophysiological cardiac disease which can result in serious arrhythmias and sudden cardiac death. Peripartum management is centred around avoiding arrhythmogenic drugs, including high doses of sodium channel blocking drugs such as bupivacaine. Myoadenylate deaminase deficiency, also known as adenosine monophosphate deaminase deficiency, is the commonest cause of myopathy in Caucasians. There is evidence that myoadenylate deaminase deficiency can predispose patients to developing malignant hyperthermia when exposed to specific anaesthetic agents. We present a case of a pregnant patient with both Brugada syndrome and myoadenylate deaminase deficiency, in which analgesic and general anaesthetic options for each condition presented potentially conflicting dilemmas for the delivery of intrapartum care.